Skip to main content

A randomized wait-list controlled trial to investigate the role of cognitive mechanisms in parenting interventions on mothers with substance use disorder

Abstract

Background

Maternal substance use disorder (SUD) represents a risk condition for quality of parenting and child development. The current literature highlights the need to identify interventions that effectively enhance the quality of parenting and to better understand which mechanisms are involved in the process of change. The present study protocol describes a randomized wait-list controlled trial that aims to examine (1) the efficacy of the Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) in improving the quality of parenting (i.e., sensitive parenting and sensitive discipline) in mothers with SUD, (2) whether the intervention affects parental cognitive mechanisms (i.e., attentional disengagement to infant negative emotions, inhibitory control confronted with children’s affective expression, and parental reflective functioning), and (3) whether changes in these processes act as mechanisms of change, mediating the effect of the VIPP-SD program on quality of parenting. Moreover, the study aims (4) to explore whether the VIPP-SD has an effect on parenting stress and (5) to compare mothers with SUD to low-risk mothers on the outcome measures.

Methods

The study will involve 40 mothers with SUD and 20 low-risk mothers of children aged between 14 months and 6 years old. Mothers in the SUD group will be randomly divided into two groups, one receiving the intervention (SUD experimental group) and one undergoing treatment as usual (SUD control group). All the mothers will be assessed pre-test and post-test. Quality of parenting will be assessed through observed parenting behaviors, whereas parental cognitive mechanisms will be assessed through neuropsychological tasks and self-report measures.

Discussion

The results of the study will reveal whether an intervention that has been proven effective in other at-risk samples is also effective in improving parenting behaviors in the context of SUD. The results will also provide insight into potential cognitive mechanisms involved in the process of change.

Trial registration

ISRCTN registry ISRCTN63070968. Registered on 25 June 2021. Retrospectively registered

Peer Review reports

Background

Quality of parenting plays a fundamental role in infant development [1] and is likely to be severely compromised in the context of maternal substance use disorder (SUD [2];), a clinical condition highly associated with dysfunctional parenting practices that in their most severe forms could lead to child maltreatment [3]. Several authors point to the importance of implementing interventions that besides focusing on the condition of drug abuse or dependence per se also target parental functioning, given that recovery from the first is not necessarily associated to improvements in the latter [4,5,6,7]. Moreover, a wide array of studies show the relevance of SUD-related cognitive impairments, as for example deficits in attention, memory, decision-making, and problem solving [8,9,10], to better understand which mechanisms could mediate the effect of interventions [11, 12]. In this regard, much work has been done with respect to adults with SUD (e.g. [13]), but little is known about how such cognitive impairments relate to parenting and parenting interventions in adults with SUD [7].

The present study protocol describes a randomized wait-list controlled trial in which we aim to examine the efficacy of the Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD [14];) in improving the quality of parenting in mothers with SUD. Secondly, the study aims to investigate whether the intervention affects parental cognitive mechanisms, improving attentional disengagement to infant negative emotions, inhibitory control in front of children’s affective expression, and maternal reflective functioning. Finally, the study aims to detect whether changes in parental cognitive mechanisms play a role in mediating the effect of the VIPP-SD program on the quality of parenting measured through observed parenting behaviors. To accomplish this, we will compare mothers with SUD receiving the intervention (SUD experimental group) to mothers with SUD undergoing treatment as usual (SUD control group). Secondly, we will compare mothers with SUD to low-risk mothers recruited from the general population, to see whether the intervention reduces expected differences between mothers with SUD and low-risk mothers. In the following paragraphs, rationale, objectives, hypotheses, and methods of the study are presented, followed by a discussion of the possible implications.

Quality of parenting in mothers with SUD

Observed parenting behaviors

Observed parenting behaviors constitute a key access to the quality of parenting in infancy and childhood, providing a measure of the parent’s ability to take care of the child and of the child’s actual experience of care [15,16,17,18,19]. Maternal SUD jeopardizes the quality of parenting behaviors, affecting in multiple ways sensitive parenting [15, 17, 20] and parental sensitive discipline [21, 22], two facets of positive parenting associated to favorable developmental outcomes in children [23, 24]. Compared to low-risk populations, mothers with SUD show less optimal sensitivity and responsiveness to children’s emotional signals [25,26,27,28,29] and are more inclined to be hostile, directive, and interfering with their activities [30,31,32,33,34]. These negative parenting behaviors have been linked to unfavorable outcomes in offspring, as insecure and disorganized attachments [35], and a higher risk to be involved with child protective services [36]. Moreover, mothers with SUD are more inclined to adopt negative disciplinary strategies [37], ranging from the use of harsh discipline [38,39,40] to the adoption of laissez-faire, characterized by withdrawal and lack of limit-setting, and role reversal [41, 42]. These practices tend to be ineffective and are related to several undesired developmental outcomes in children, including internalizing and externalizing problems [43, 44]. Therefore, parenting behaviors constitute one of the main targets of parenting interventions in the condition of SUD [45, 46]. In the present study, we aim to test the efficacy of the VIPP-SD, a short-term evidence-based parenting intervention based on attachment theory [17, 47] and social learning theory [48, 49], in improving positive parenting strategies in a clinical population of SUD mothers with young children. We will measure sensitive parenting and sensitive discipline using observational scales (the Emotional Availability Scales [50] and a scale for harsh discipline [51]) under various structured conditions (free-play and two compliance tasks), comparing mothers with SUD receiving the intervention to mothers with SUD undergoing treatment as usual (TAU) and to low-risk mothers. According to previous studies, we expect that (1) the quality of observed parenting behaviors in SUD mothers is higher after the intervention compared to the randomized control group receiving TAU and (2) mothers with SUD will, at pretest, show poorer parenting behaviors compared to the low-risk group.

Cognitive mechanisms involved in parenting

Attentional mechanisms: attentional bias to child negative emotions

Attentional processing of child stimuli provides one of the basic cognitive mechanisms for sensitive parenting. Human adults present a selective bias in the processing of infant faces, which is of potential evolutionary value [52, 53] since it facilitates a detailed screening of facial mimicry and increases the likelihood of appropriate responses [54]. It has been shown that mothers present a preferential attentional bias for child negative emotions, finding it more difficult to disengage their attention from visual stimuli displaying sadness or distress [55, 56]. This process is attenuated in the presence of psychopathology and high parenting stress [53, 57] and has proved to be sensitive to treatment [54]. We hypothesize this same attentional mechanism to be disrupted in mothers with SUD, given the high incidence of parenting stress [58], psychopathology [59, 60], and the overlap between brain reward regions associated to substances and to infant-related stimuli [61, 62]. This hypothesis is further supported by studies that provide evidence for disruptions in normative attentional processes in the context of substance dependence [63, 64].

In the current study, we aim to test whether attentional bias to child face in mothers with SUD, measured with a computerized neuropsychological task, is enhanced through the application of the VIPP-SD. According to previous studies, we expect that (1) attentional bias to child negative emotions in mothers with SUD increases after the intervention compared to the randomized control group receiving TAU and (2) at pre-test, mothers with SUD will show lower attentional bias to child negative emotions compared to the low-risk group.

Inhibitory mechanisms: inhibitory control when exposed to child emotions

Inhibition of parenting negative strategies represents another basic cognitive mechanism of sensitive parenting [65]. At the cognitive level, the inhibition of non-optimal responses relies on inhibitory control, a “lower order” component of executive functions responsible for the regulation of attention, thoughts, or behaviors, according to internal and external stimuli [66,67,68,69]. Chronic drug use is associated with severe frontal and prefrontal cognitive dysfunctions which result in the inability to inhibit dominant behavioral responses activated by craving, which lead to the search and assumption of drugs [70,71,72]. Impairments in prefrontal activity are responsible for the onset and maintenance of substance dependence [70,71,72,73,74,75] and have been found in mothers with SUD also when observing infants displaying different emotional expressions [62, 76].

Traditionally, inhibitory control has been investigated through go/no-go paradigms, which involve the presentation of stimuli, alternating go conditions, where the individual has to respond to the displayed cue, and no-go conditions, where the individual has to inhibit their response [66, 77]. In the current study, we aim to test whether inhibitory control when exposed to child emotions in mothers with SUD, measured through a computerized emotional go/no-go task, improves after the administration of the VIPP-SD. We expect that (1) inhibitory control when exposed to child emotions in mothers with SUD will increase after the administration of the intervention compared to the randomized control group receiving TAU and (2) compared to the low-risk group, mothers with SUD at pre-test will show lower inhibitory control when exposed to child emotions.

Maternal reflective functioning

Reflective functioning describes the parents’ ability to reflect upon their own and their children’s experience and behaviors in terms of mental states [78,79,80]. This mechanism is associated with positive and negative parenting strategies [79, 81, 82] and with children’s use of their mothers as secure base [83]. Mothers with SUD present difficulties in emotion regulation [84] as well as poor reflective functioning abilities, with the risk to develop negative, idealized, or fragile representations of their children and their parental role [46, 85, 86]. Postnatal levels of mentalizing abilities have been identified as predictors of clinical prognosis in the context of substance abuse [87], and reflective functioning represents an important target of parenting interventions within this clinical population [46, 87]. Improvements in reflective functioning in response to parenting interventions have been associated with increases in quality of observed parenting behaviors and with improvements in children’s regulation [7, 85]. For the purposes of the present study, we will examine self-reported maternal reflective functioning pre- and post-intervention. We expect that (1) reflective functioning in mothers with SUD improves after the intervention compared to the randomized control group receiving TAU and (2) mothers with SUD at pre-test present lower reflective functioning abilities with respect to the low-risk group.

Other variables relevant in the context of maternal SUD

Given the complexity of the SUD condition, especially in mothers, various domains of adult functioning will be included as control variables in the present study. A brief description and rationale for each one is reported below.

Parenting stress

Mothers with SUD are more likely to experience high levels of stress in their caregiving role, much of which is dependent on the condition of substance addiction and related risk factors, such as health conditions and psychosocial difficulties [58, 62, 88, 89]. The reiteration of substance use in time decreases the salience of infant-related stimuli that become less rewarding for mothers and risk to be perceived as a source of additional stress rather than part of a mutually fulfilling system [62, 90]. High levels of parenting stress have been often linked with difficulties in providing high-quality parenting and are associated with hurdles in mother-child interactions, lack of parental warmth, and increases in harsh parenting [91]. For the purpose of this study, we will measure parental stress using the short form of the Parenting Stress Index [92] before and after the intervention, expecting a decrease in levels of stress after treatment.

Maternal psychopathology

Individuals with SUD present an increased risk for psychopathology and psychological maladjustment [93, 94], which has been linked to poor executive functioning [95] and to several adverse treatment outcomes, such as increased severity in individual maladjustment and early relapse to substance use [96]. The presence of psychopathological symptoms in mothers with SUD represents an additional risk factor for caregiving practices, exacerbating difficulties experienced during mother-child interactions and increasing the risk to adopt negative parenting strategies [97,98,99]. In the present study, we will control for the potential confounding role of maternal psychopathology when examining the efficacy of the VIPP-SD. Maternal psychopathological symptoms and psychological distress will be measured pre- and post-treatment and considered as a confounder.

General executive functioning

Inhibitory control represents a “lower order” component of executive functions and, together with working memory and cognitive flexibility [66, 100, 101], allows for the activity of “higher order” executive functions, such as reasoning, problem solving, and planning [66, 102, 103]. A wide array of research has highlighted that individuals with chronic and heavy substance abuse present with damages to executive functioning, which could act as predisposing, retention, and relapse factors for substance assumption [11,12,13, 104,105,106]. Moreover, research on parenting found some associations between executive functions and parental practices [68, 69]. In the present study, we will control for the potential confounding role of general executive functioning to investigate the specific impact of VIPP-SD on parental inhibitory control when exposed to child emotions and to ascertain its role as a mechanism of change in parenting behaviors. Mothers’ general executive functioning will be measured pre- and post-treatment and its residual score after taking into account its overlap with inhibitory control will be used as a potential confounder in statistical analyses.

Intervention

For the purpose of the current study, we selected as eligible treatment the VIPP-SD [14, 107], an evidence-based intervention aimed at enhancing parental sensitivity and sensitive discipline in parents of toddlers and preschool children. The protocol has proven to be effective in different randomized controlled trials in various populations [108,109,110], with a recent meta-analytic study reporting a combined effect size of d = 0.47 [21], and its characteristics appear particularly suitable for mothers with SUD.

Specifically, the limited number of sessions, the focus on interactive behaviors, and the home-based nature of the protocol are likely to help maintain the mothers’ engagement, limiting the risk of dropouts before the end of treatment [111,112,113]. The ease of understanding of the contents supports comprehension of the intervention themes, preventing dropout risks linked to deficits in attention and cognitive functioning [11, 13]. The use of the video-feedback technique, the focus on child signals [45], and the provision of information on child development could help mothers to adapt their interaction to the child’s age-appropriate level [114, 115]. These features support the feasibility of applying the intervention to this specific clinical population, offering the possibility to administer it both in the context of outpatient and inpatient conditions.

Aims and hypotheses

  1. 1)

    Our primary aim is to investigate intervention effects on the quality of parenting measured through observed parenting behaviors, in mothers with SUD. We will investigate whether the intervention affects sensitive parenting and gentle but consistent discipline. We expect that, from pre-test to post-test, the quality of observed parenting in the SUD experimental group increases more or decreases less than in the SUD control group.

  2. 2)

    Our secondary aim is to investigate intervention effects on parental cognitive mechanisms. We will investigate whether the intervention affects the mothers’ performances on (2a) an attentional bias reaction time paradigm aimed at measuring attentional bias to negative emotions and on (2b) a go/no-go task involving child faces displaying different emotions aimed at measuring inhibitory control in response to child emotions, respectively. Moreover, we will investigate whether the intervention affects (2c) self-perceived reflective functioning. We expect that the intervention modifies the mothers’ performances on the two tasks and self-reported reflective functioning in the SUD experimental group with respect to the SUD control group.

  3. 3)

    Our tertiary aim is to investigate whether changes in parental cognitive mechanisms affect intervention effect on parenting. Specifically, we will investigate whether changes in the mothers’ (3a) attentional bias, (3b) inhibitory control, and (3c) reflective functioning account for changes observed in parenting. Specifically, we expect that improvements in the mothers’ performances on the cognitive measures will be associated to improvements in the quality of observed parenting in the SUD experimental group (Fig. 1).

  4. 4)

    Our fourth objective is to explore whether the administration of the intervention has an effect on parenting stress. Specifically, we expect that, after the administration of the VIPP-SD, perceived parenting stress in the SUD experimental group decreases compared to the SUD control group.

  5. 5)

    Our fifth objective is to compare the SUD experimental group and the SUD control group to the low-risk group with respect to post-test measures.

Fig. 1
figure 1

Aims of the study and hypothesized mechanisms of change

Methods/design

Study design

The study is a randomized wait-list controlled trial aimed at investigating the role of parental inhibitory control, attentional disengagement, and reflective functioning in the efficacy of the VIPP-SD, an evidence-based parenting intervention, in mothers with SUD. The protocol was developed in line with the SPIRIT guidelines ([116], see Additional files 1 and 2). The project will involve a group of mothers with SUD and a group of low-risk mothers. The intervention will be randomly delivered to half of the mothers in the SUD group, through a wait-list approach. Specifically, mothers from the SUD group will be randomly assigned to one of two conditions: (1) an experimental condition (SUD experimental group), treated with the VIPP-SD, and (2) a wait-list condition (SUD control group), with TAU. Participants in both groups will be assessed pre- and post-treatment/wait-list for primary and secondary outcome measures. Participants in the SUD experimental group will be reassessed at a 2-month follow-up, to see whether outcomes measured during the post-test phase remain stable, whereas at the end of the post-test phase participants in the SUD control group will be administered the intervention.

Mothers in the low-risk group will undergo two measurements (respectively assessment 1 and assessment 2) where we will collect the same measures collected in the SUD group (quality of parenting behaviors, attentional disengagement, inhibitory control, reflective functioning, parenting stress, maternal general executive functioning, and psychopathology). The two measurements in the low-risk group are scheduled at a 3-month distance, a time frame that equals the length of the VIPP-SD, and will serve as a comparison for the pre-test and the post-test phase of the SUD experimental group. Figure 2 presents the diagram of participants’ flow through the trial.

Fig. 2
figure 2

Diagram of participants’ flow through the trial

Participants

Recruitment

The project will involve 60 mothers with toddlers and preschool children, aged between 12 months and 6 years old. The recruitment will be carried out in northern Italy. The SUD group (n = 40) will be composed of women with a history of SUD diagnosis recruited through residential and outpatient facilities that treat SUD and other psychiatric disturbances. History of SUD diagnosis is defined as severe substance use, abuse, or dependence, within 2 years preceding enrollment, with respect to one or more substances of interest (e.g., alcohol; caffeine; cannabis; hallucinogens; inhalants; opioids; sedatives, hypnotics, or anxiolytics; stimulants; tobacco; and other or unknown substances) according to criteria outlined by principal diagnostic manuals [2]. Studies on SUD identified a rate of dropout ranging from 23 to 50% in outpatient treatment [117, 118] and from 17 to 57% in inpatient treatment [119, 120]. In order to prevent attrition bias, and to reach the expected number of participants completing the trial, we will oversample participants in the SUD group by 20%. The low-risk group (n=20) includes mothers recruited from the general population. Mothers in the low-risk group should present the absence of history of SUD diagnosis and absence of history of treatment in residential and outpatient facilities that treat SUD and other psychiatric disturbances. We will screen them using a specific checklist administered at their enrollment. Inclusion criteria for each group foresee that mother and child live together or in close contact (at least 4 times per week) at the time of recruitment and during the various stages of the study. Exclusion criteria concern the presence of diagnosed psychotic disorders in an active phase, organic brain disorders that prevent the execution of the tasks, and child developmental pervasive disorders. Mothers in the SUD group will be contacted through the help of healthcare providers, whereas mothers in the low-risk group will be contacted through family centers, nursery schools, and academic database sources. Potential candidates will be invited to take part in the study and will receive more information and asked informed consent when they agree to participate. Participation in the study is free.

Randomization

Randomization of the SUD group to the SUD experimental and SUD control group will be carried out a priori and each participant will be assigned to a predetermined condition once enrolled in the study. We will adopt a blocked randomization with randomly selected block sizes, stratified with respect to child’s gender and age. Blocked randomization enhances the chance that treatment groups are equal in size and uniformly distributed according to key outcome-related characteristics [121]. Randomization will be implemented charging three distinct figures of sequence generation, participant enrollment, and participant allocation [122]. Sequence generation will be carried out by an independent researcher through R [123], with a 1:1 allocation using random block sizes of 2 and 4, stratified by gender and child age (younger vs older than 30 months). The researcher performing sequence generation will not be involved in recruitment, intervention administration, data collection, or data coding. To guarantee allocation concealment and to avoid selection bias, an independent researcher not involved in the trial will be charged to the custody of the sequences generated and to the assignment of the participants to each condition. Once the participants have been recruited and assessed for the pre-test phase, the researcher will be contacted by phone and hear the allocation of each individual.

Sample size and power

The sample size for the study was calculated based on power, level of significance, and size of the treatment effect expected [124], referring to previous study reporting on RCTs addressed to mothers with SUD [86]. Power was set at the conventional level of 80%. Regarding the size of the expected treatment, recent meta-analytic work testing the effectiveness of VIPP-SD on sensitive parenting yielded a combined effect size of d = 0.47, indicating that the intervention significantly increases sensitive caregiving [21, 125]. For the purposes of the present study, a statistical power analysis was performed for sample size estimation (repeated measures ANOVA within-between interaction, G*Power 3.1.9.2). For our primary, secondary, and fourth aims, testing the effect of the intervention on parenting and on parental cognitive mechanisms through repeated measures analyses with α = .05, a statistical power (1 − β) = 0.80, and a medium-sized effect of d = 0.47, a minimum sample size of n = 34 is required. For our third and fifth aims, testing mediating mechanisms, the proposed sample size ensures a power >80% since the power to detect mediating effects is generally larger than it is for main effects [126]. Considering the high risk of attrition in the SUD group, we will adopt oversampling strategies when managing missing data [127] and intention-to-treat analyses [128], in order to preserve statistical power.

Intervention

Intervention group

Participants in the SUD experimental group will be administered the VIPP-SD, an evidence-based intervention that adopts the technique of video-feedback for enhancing (1) sensitive parenting and positive parent-child relationships and (2) sensitive discipline, reducing children’s emotional and behavioral problems [21]. The protocol is based on attachment theory [17, 47] and on social learning theory [48, 49]. The intervention is manualized and delivered in 6 sessions, each one affording themes relevant for sensitive parenting and sensitive discipline. The manual describes the structure, the themes, and the exercises suggested to parents during the different sessions [21]. Each home visiting begins with the videotaping of structured parent-child interactions, which are then reviewed together with the intervener during the following sessions. Between sessions, the intervener prepares comments for each video fragment to-be-seen according to the themes that in each meeting are salient for sensitive parenting and sensitive discipline (see Table 1). Themes for sensitive parenting concern the difference between exploration versus attachment behavior, the technique of speaking for the child, and the importance of sensitivity chains and of sharing emotions during parent-child interaction. Themes inherent sensitive discipline concern inductive discipline and distraction, positive reinforcement, sensitive time-outs, and empathy for the child [14, 21]. The first four sessions introduce these relevant topics whereas the two last sessions serve as booster sessions to revise and integrate the themes previously afforded and to reinforce new acquisitions in the parent [21]. The VIPP-SD has been applied to different settings [129,130,131], including residential facilities [132], and has been successfully adopted with different clinical and at-risk groups [133,134,135]. Previous meta-analytic work provided evidence for a substantial effect of VIPP-SD in enhancing positive parenting [21]. Treatment will be administered by a group of interveners officially trained and showing fidelity of treatment. Treatment fidelity will be guaranteed through continuous supervisions of the interveners with the fourth author, an official Italian trainer on the method.

Table 1 Themes relevant for the VIPP-SD

Wait-list group

The experimental SUD group will be administered the VIPP-SD immediately after the pre-test phase whereas, during this period, participants in the SUD control group will undergo TAU which involves individual and group psychotherapy, psychopharmacological treatment, and educational intervention. After the post-test phase, the intervention will be delivered also to the wait-list group.

Measures

Primary aim

Our primary aim is to investigate whether the intervention is effective in improving the quality of parenting, measured through observed parenting behaviors operationalized as parental sensitivity and sensitive discipline. According to previous work [51], parental sensitivity will be assessed during free play, whereas sensitive discipline will be assessed during two compliance tasks, a do not touch situation and a clean-up situation. Each procedure will be video-recorded and coded by raters blinded to the aims of the study and to the participants’ condition. The observational procedures will be assessed with the Emotional Availability Scales [50], 6 scales that evaluate the parent’s and the child’s contribution to the interaction. Moreover, sensitive discipline will also be assessed through a scale aimed at assessing the presence of verbal or physical harsh discipline [51]. Multiple trained raters, blinded to the study objectives and to the participants’ condition, will code videotapes. Regular meetings with the developers of the coding systems will be scheduled, to guarantee reaching of sufficient reliability with the coding system and avoiding rater drift. Moreover, inter-rater reliability will be calculated on a subset of the videos.

Secondary aim

Our secondary aim is to investigate intervention effects on the mothers’ attentional disengagement to infant negative emotions, inhibitory control in front of children’s emotions, and on reflective functioning. A description of the measures adopted for each mechanism is provided in the following sections.

Measurement of attentional disengagement

Maternal disengagement to infant negative emotions will be measured through an attentional bias reaction time paradigm [57]. During this attentional task, subjects are required to focus on a central go/no-go signal on the computer screen (a green or a red cross). A horizontal and a vertical line are presented as peripheral stimuli at the two extremities of the screen. The red central cross represents no-go trials, where participants are required to press the space bar. The green cross indicates go trials, where the individual is required to localize the position of the horizontal bar and press the appropriate keyboard response (A=left, L=right). During the task, distressed or non-distressed infant faces will appear behind the cross, as background images, slowing down the disengagement of attention. Each trial will begin with a fixation cross at the center of the screen (750 ms), followed by the stimulus display (240 ms, including the go/no-go signal, the face stimuli, and the two peripheral lines), and finally a blank screen until a response is registered. Participants are instructed to ignore pictures appearing in the task. An index of attentional bias towards distressed infant faces will be calculated, computing the difference between mean reaction times (ms) on distressed and non-distressed infant trials for each individual [55, 57].

Measurement of inhibitory control

The mothers’ inhibitory control in front of children’s emotions will be assessed on a computerized go/no-go task involving child faces displaying different emotions (positive vs negative). Visual stimuli are selected from the Child Affective Facial Expression set [136], a validated set of 2- to 8-year-old children’s faces. During the emotional go/no-go task, the participants will be randomly presented with a child showing a positive or a negative emotion. Positive emotions represent go trials, where participants are required to press the space bar. Negative emotions indicate no-go trials, where individuals are required to inhibit their behavior, doing nothing. Each trial will begin with a fixation cross at the center of the screen (2000 ms), followed by the stimulus presentation (500 ms), and a blank screen with a fixation point (1500 ms) for response registration. Each of the 60 faces will be shown once, for a total of 60 trials. Reaction times and accuracy of the performance will be recorded and yield a measure of the mothers’ inhibitory control when exposed to children’s affective expressions.

Given previous studies reporting correlations between selective attention and inhibition of action in normative [137] and addicted individuals [63, 138], a preliminary correlational analysis will be carried out on performance on the two cognitive tasks. When the two measures are correlated, a composite score will be calculated [139, 140]. When not, performances at the two tasks will be considered as separate variables in statistical analyses.

Measurement of maternal reflective functioning

Maternal reflective functioning will be assessed using the Parental Reflective Functioning Questionnaire [141], an 18-item self-report measure aimed at investing perceived reflective functioning in parents, intended as curiosity about the child’s mental states, effort/refusal to understand mental states, and how they relate to behavior.

Tertiary aim

Our tertiary aim is to investigate whether changes in the mothers’ emotional modulation of inhibitory control, attentional disengagement, and reflective functioning account for changes in the quality of parenting. To do this, we will examine whether changes in the mothers’ performances on the attentional bias reaction time paradigm and on the go/no-go task involving child faces displaying different emotions, as well as maternal self-reported reflective functioning, account for changes in observed parenting behaviors.

Fourth aim

Our fourth objective is to explore whether the administration of the intervention has an effect on parenting stress, which will be measured through the Parenting Stress Index – Short Form [92], a 36-item self-report measure aimed at investigating the stress experienced by parents during parental practices.

Fifth aim

Our fifth objective is to compare the SUD experimental group and the SUD control group to the low-risk group. To do this, we will compare the post-test measurements of the experimental and control SUD groups with the two assessments in the low-risk comparison group.

Control variables

When testing changes in the mothers’ attentional disengagement, inhibitory control, and reflective functioning, we will control for the potential confounding roles of general maternal executive functions, and maternal psychopathology. As far as it concerns general executive functions, we will measure inhibitory control, working memory, cognitive flexibility, and planning through standardized neuropsychological tasks involving neutral stimuli. Specifically, we will use a go/no-go task [142], the Corsi Block-Tapping Task [143, 144], a short-form of the Berg Card Sorting Test [145,146,147,148], and the Tower of London Test [149,150,151]. All the tasks are computerized and retrieved from the open source software system PEBL - Psychology Experiment Building Language [152].

Concerning maternal psychopathology, we will administer the Symptom Checklist-90 Revised [153], a 90-item self-report questionnaire designed to evaluate the presence of psychopathology along different symptom dimensions and global distress indexes.

Statistical analyses

Statistical analyses will be carried out according to intention-to-treat principles [154]. Data distributions will be inspected to check for normality and data transformation will be applied when normality assumptions are violated [155]. Missing data will be inspected to check whether they are missing completely at random, at random, or not at random, and multiple imputation procedures will be applied to manage them [156]. For the primary, the secondary, and the fourth aims, we will first adopt linear mixed models for intent-to-treat analyses and subsequently apply repeated measures models on complete cases. To estimate the intervention effect on parenting and on parental cognitive mechanisms, we will define experimental condition as between-subjects factor and time-point measurements as within-subjects factor. For our tertiary and fifth aims, we will use the Montoya and Hayes approach [157] in a repeated measures design to test whether changes in cognitive mechanisms mediate the intervention effects on parenting.

Data management and ethics

The study will be carried out in line with national and international standards of good clinical practice. All the participants will be asked written and verbal informed consent and during the entire unfolding of the project participants will be reminded that participation to the study is voluntary and that they have the possibility to withdraw from the study at any time, without consequences. The research protocol received ethical approval from the Ethical Committee of the University of Padua (Protocol: 3475). All data will be managed confidentially and stored on secure drives of the University of Padua. Part of the data could be temporarily stored on drives of the Universities of Pavia, Erasmus University Rotterdam, Vrije Universiteit Amsterdam due to coding, supervision, and statistical analyses. The VIPP-SD has been previously used in a number of studies, including clinical populations, and did not present risks associated with the intervention. No criteria for interrupting the administration of the intervention have been highlighted, except that of the participants’ choice. Authorships for journal articles will be defined according to APA or ICMJE guidelines.

Ancillary and post-trial care

Given the absence of anticipated harm due to study participation, no specific provision for post-trial or ancillary care is foreseen by the study protocol. Most of the participants in the SUD groups are expected to remain within their TAU after the project. Whenever clinical conditions that require specific attention emerge during study participation, the participants will be instructed to contact their referring clinicians in order to obtain appropriate treatment.

Protocol amendments

Currently, the study is being implemented in accordance with the procedures described in the present study protocol. Amendments are being submitted for any change in the existing protocol that significantly affects the scopes of the investigation or the scientific quality of the study. The amendment will contain a brief description of the changes and reference to the previous submission (date and number). Approval for any substantial change to the original protocol will be requested by the Institutional Review Board before amendment submission.

Public and patient involvement

Although not measured systematically, patient and public involvement had a fundamental impact on the initial stages of the development of the study design. Part of the clinical and research expertise in the context of parental SUD has been developed through a long-time partnership with Casa Aurora, Comunità di Venezia scs, a residential facility located in northern Italy that provides treatment to mothers with SUD and other psychiatric disorders. The continuous communication with the staff of the facility and with the patients in treatment guided the setting of the research objectives and the intervention goals, so that they would be relevant for both users and health services. Specifically, in line with professionals’ suggestions, we attempted to design a protocol that could be easy to understand for professionals with different backgrounds (e.g., psychiatrists, psychologists, nurses, and professional educators) and flexible enough to be introduced both in residential facilities and outpatient services, considering variation in organizational dynamics. Furthermore, in response to several mothers’ complaints about difficulties in playing and engaging with their children, or in setting age-appropriate limits, we made the choice for the VIPP-SD program (whose goals are in line with the mothers’ requests). In this sense, during the development of the protocol, we attempted to integrate scientific requests with services and users’ perspectives, to ensure that the research would be appropriate for patients’ and facilities’ needs while still being valid and robust from a scientific point of view [158]. Moreover, public and patient involvement is being achieved during the implementation of the study, collecting professionals’ and patients’ feedback and considerations about various stages of the study.

Discussion

The present study protocol describes a randomized wait-list controlled trial in which we aim to test the effect of the VIPP-SD in improving quality of parenting and in changing parents’ cognitive mechanisms in the context of maternal SUD. Moreover, the current study aims to test whether changes in cognitive mechanisms account for changes in observed quality of parenting. Testing these hypotheses has a significant impact both from a clinical and an empirical point of view.

Clinically, testing an intervention which is brief, standardized, and effective in improving the quality of parenting and of parent-child relationships could provide an important addition to programs that target parents with SUD. This intervention could be adopted in facilities and by healthcare providers parallel to interventions aimed at reducing substance abuse and parental psychopathology. The specific features of the VIPP-SD (e.g., the focus on positive aspects and on the strengths of parent-child relationships) are expected to support the development of early working alliance with health facility and professionals, which has been pointed out as a consistent predictor of engagement and retention in drug treatment [159]. Moreover, the adoption of such an intervention could sensitize healthcare providers and social workers to the importance of promoting sensitive parenting behavior, which is not only focused on instrumental care and satisfaction of basic needs, but also emotionally attuned to the child’s communications.

From an empirical perspective, the present study could provide further knowledge of the mechanisms underlying observable parenting and important insights into the cognitive mechanisms that could mediate the behavioral effect of interventions.

Strengths of the study are represented by the adoption of a randomized controlled trial design, the collection of behavioral measures (observed parenting behaviors and cognitive tasks), and the use of an evidence-based intervention that has proven effective in previous RCTs in various at-risk samples. Novelty of the study is also the focus on a specific clinical sample, for which the intervention has not been tested yet.

Limitations of the protocol are linked to the use of self-report measures for parenting stress, reflective functioning, and psychopathology and to the heterogeneity of the sample (due to the condition of poli-abuse of substances).

Trial status

Recruitment began in March 2020 and will end in October 2023.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

SUD:

Substance use disorder

VIPP-SD:

Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline

TAU:

Treatment as usual

References

  1. van Der Voort A, Juffer F, Bakermans-Kranenburg MJ. Sensitive parenting is the foundation for secure attachment relationships and positive social-emotional development of children. J Child Serv. 2014;9(2):165-76.

  2. APA. American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders. 5th ed. Washington, DC: American Journal of Psychiatry; 2013.

  3. Walsh C, Mac Millan HL, Jamieson E. The relationship between parental substance abuse and child maltreatment: findings from the Ontario Health Supplement. Child Abuse Negl. 2003;27:1409–25.

    Article  PubMed  Google Scholar 

  4. Bosk EA, Paris R, Hanson KE, Ruisard D, Suchman NE. Innovations in child welfare interventions for caregivers with substance use disorders and their children. Child Youth Serv Rev. 2019;101:99–112.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Catalano RF, Gainey RR, Fleming CB, Haggerty KP, Johnson NO. An experimental intervention with families of substance abusers: one-year follow-up of the focus on families project. Addiction. 1999;94:241–54.

    Article  CAS  PubMed  Google Scholar 

  6. Espinet SD, Motz M, Jeong JJ, Jenkins JM, Pepler D. ‘Breaking the Cycle’ of maternal substance use through relationships: a comparison of integrated approaches. Addict Res Theory. 2016;24(5):375–88 Available from: https://www.tandfonline.com/doi/abs/10.3109/16066359.2016.1140148 [cited 1 Jun 2021].

    Article  Google Scholar 

  7. Suchman NE, Decoste C, Rosenberger P, Mcmahon TJ. Attachment-based intervention for substance-using mothers: a preliminary test of the proposed mechanisms of change. Infant Ment Health J. 2012;33(4):360–71.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Cunha PJ, Nicastri S, Gomes LP, Moino RM, Peluso MA. Neuropsychological impairments in crack cocaine-dependent inpatients: preliminary findings. Rev Bras Psiquiatr. 2004;26:103–6.

    Article  PubMed  Google Scholar 

  9. Tucker KA, Potenza MN, Beauvais JE, Browndyke JN, Gottschalk PC, Kosten TR. Perfusion abnormalities and decision making in cocaine dependence. Biol Psychiatry. 2004;56:527–30.

    Article  CAS  PubMed  Google Scholar 

  10. Bolla KI, Eldreth DA, London ED, Kiehl KA, Mouratidis M, Contoreggi C, et al. Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task. Neuroimage. 2003;19:1085–94.

    Article  CAS  PubMed  Google Scholar 

  11. Aharonovich E, Hasin DS, Brooks AC, Liu X, Bisaga A, Nunes EV. Cognitive deficits predict low treatment retention in cocaine dependent patients. Drug Alcohol Depend. 2006;81:313–22.

    Article  PubMed  Google Scholar 

  12. Bates ME, Bowden SC, Barry D. Neurocognitive impairment associated with alcohol use disorders: implications for treatment. Exp Clin Psychopharmacol. 2002;10:193.

    Article  CAS  PubMed  Google Scholar 

  13. Aharonovich E, Nunes E, Hasin D. Cognitive impairment, retention and abstinence among cocaine abusers in cognitive-behavioral treatment. Drug Alcohol Depend. 2003;71:207–11.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Juffer F, Bakermans-Kranenburg MJ, van IJzendoorn MH. Promoting positive parenting: an attachment-based intervention. New York: Taylor & Francis Group/Lawrence Erlbaum Associates; 2008.

  15. Ainsworth MDS, Blehar MC, Waters E, Wall SN. Patterns of attachment: a psychological study of the strange situation. Hillsdale: Lawrence Erlbaum Associates; 1978.

    Google Scholar 

  16. Beebe B, Lachmann FM. Co-constructing inner and relational processes: self- and mutual regulation in infant research and adult treatment. Psychoanal Psychol. American Psychological Association Inc. 1998;15:480–516.

    Article  Google Scholar 

  17. Bowlby J. Attachment and Loss. New York: Basic books; 1969. p. 4–16.

    Google Scholar 

  18. De Wolff MS, van IJzendoorn MH. Sensitivity and attachment: a meta-analysis on parental antecedents of infant attachment. Child Dev. 1997;68:571–91.

    Article  PubMed  Google Scholar 

  19. Tronick EZ. Emotions and emotional communication in infants. Am Psychol. 1989;44(2):112–9.

    Article  CAS  PubMed  Google Scholar 

  20. Ainsworth MDS. Maternal sensitivity scales. Power. 1969;6:1379–88.

    Google Scholar 

  21. Juffer F, Bakermans-Kranenburg MJ, van IJzendoorn MH. Pairing attachment theory and social learning theory in video-feedback intervention to promote positive parenting. Curr Opin Psychol. 2017;15:189–94.

    Article  PubMed  Google Scholar 

  22. van Zeijl J, Mesman J, van IJzendoorn MH, Bakermans-Kranenburg MJ, Juffer F, Stolk MN, et al. Attachment-based intervention for enhancing sensitive discipline in mothers of 1- to 3-year-old children at risk for externalizing behavior problems: a randomized controlled trial. J Consult Clin Psychol. 2006;74(6):994–1005 Available from: /record/2006-22003-002 [cited 4 May 2021].

    Article  PubMed  Google Scholar 

  23. Groh AM, Fearon RP, Bakermans-Kranenburg MJ, van IJzendoorn MH, Steele RD, Roisman GI. The significance of attachment security for children’s social competence with peers: a meta-analytic study. Attach Hum Dev. 2014;16:103–36.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Weinfield NS, Sroufe LA, Byron B, Carlson E. Individual differences in infant–caregiver attachment: conceptual and empirical aspects of security. In: Handbook of attachment; 2008.

    Google Scholar 

  25. Das Eiden R. Maternal substance use and mother-infant feeding interactions. Infant Ment Health J. 2001;22(4):497–511.

    Article  Google Scholar 

  26. Flykt M, Punamäki R-L, Belt R, Biringen Z, Salo S, Posa T, et al. Maternal representations and emotional availability among drug-abusing and nonusing mothers and their infants. Infant Ment Health J. 2012;33(2):123–38 Available from: http://doi.wiley.com/10.1002/imhj.21313.

    Article  PubMed  Google Scholar 

  27. Frigerio A, Porreca A, Simonelli A, Nazzari S. Emotional availability in samples of mothers at high risk for depression and with substance use disorder. Front Psychol. 2019;10:577.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Porreca A, De Palo F, Simonelli A, Capra N. Attachment representations and early interactions in drug addicted mothers: a case study of four women with distinct adult attachment interview classifications. Front Psychol. 2016;7 Available from: http://journal.frontiersin.org/Article/10.3389/fpsyg.2016.00346/abstract.

  29. Salo S, Politi J, Tupola S, Biringen Z, Kalland M, Halmesmäki E, et al. Early development of opioid-exposed infants born to mothers in buprenorphine-replacement therapy. J Reprod Infant Psychol. 2010;28(2):161–79 Available from: http://www.tandfonline.com/doi/full/10.1080/02646830903219109.

    Article  Google Scholar 

  30. Bauman PS, Levine SA. The development of children of drug addicts. Int J Addict. 1986;21(8):849–63.

    Article  CAS  PubMed  Google Scholar 

  31. Rodning C, Beckwith L, Howard J. Quality of attachment and home environments in children prenatally exposed to PCP and cocaine. Dev Psychopathol. 1991;3(4):351–66.

    Article  Google Scholar 

  32. Fitzgerald E, Kaltenbach K, Finnegan L. Patterns of interaction among drug dependent women and their infants. Pediatr Res. 1990;10(24):10A.

  33. Johnson AL, Morrow CE, Accornero VH, Xue L, Anthony JC, Bandstra ES. Maternal cocaine use: estimated effects on mother-child play interactions in the preschool period. J Dev Behav Pediatr. 2002;23(4):191.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Pajulo M, Savonlahti E, Sourander A, Ahlqvist S, Helenius H, Piha J. An early report on the mother–baby interactive capacity of substance-abusing mothers. J Subst Abus Treat. 2001;20(2):143–51 Available from: http://linkinghub.elsevier.com/retrieve/pii/S0740547200001616.

    Article  CAS  Google Scholar 

  35. Swanson K, Beckwith L, Howard J. Intrusive caregiving and quality of attachment in prenatally drug-exposed toddlers and their primary caregivers. Attach Hum Dev. 2000;2(2):130–48 Available from: http://www.tandfonline.com/doi/abs/10.1080/14616730050085527.

    Article  CAS  PubMed  Google Scholar 

  36. Matos AL, Moleiro C, Dias JG. Clusters of abusive parenting: a latent class analysis of families referred to Child Protective Services in Portugal. Child Abuse Negl. 2014;38:2053–61.

    Article  PubMed  Google Scholar 

  37. Blackwell PL, Lockman JJ, Kaiser M. Mother-infant interaction in drug-affected dyads over the first 9 months of life. Appl Dev Sci. 1999;3(3):168–77.

    Article  Google Scholar 

  38. Bauman PS, Dougherty FE. Drug-addicted mothers’ parenting and their children’s development. Int J Addict. 1983;18(3):291–302.

    Article  CAS  PubMed  Google Scholar 

  39. Tarter RE, Blackson T, Martin C, Loeber R, Moss HB. Characteristics and correlates of child discipline practices in substance abuse and normal families. Am J Addict. 1993;2(1):18–25.

    Article  Google Scholar 

  40. Pears K, Capaldi DM, Owen LD. Substance use risk across three generations: the roles of parent discipline practices and inhibitory control. Psychol Addict Behav. 2007;21(3):373–86 Available from: https://pubmed.ncbi.nlm.nih.gov/17874888/ [cited 1 Jun 2021].

    Article  PubMed  PubMed Central  Google Scholar 

  41. Baker PL, Carson A. I take care of my kids: mothering practices of substance-abusing women. Gend Soc. 1999;13:347–63.

    Article  Google Scholar 

  42. Strathearn L, Mayes LC. Cocaine addiction in mothers: potential effects on maternal care and infant development. Ann N Y Acad Sci. 2010;1187:172–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Misri S, Reebye P, Kendrick K, Carter D, Ryan D, Grunau RE, et al. Internalizing behaviors in 4-year-old children exposed in utero to psychotropic medications. Am J Psychiatry. 2006;163:1026–32.

    Article  PubMed  Google Scholar 

  44. D’Onofrio BM, van Hulle CA, Waldman ID, Rodgers JL, Rathouz PJ, Lahey BB. Causal inferences regarding prenatal alcohol exposure and childhood externalizing problems. Arch Gen Psychiatry. 2007;64:1296–304.

    Article  PubMed  Google Scholar 

  45. Suchman N, Mayes L, Conti J, Slade A, Rounsaville B. Rethinking parenting interventions for drug-dependent mothers: from behavior management to fostering emotional bonds. J Subst Abus Treat. 2004;27:179–85.

    Article  Google Scholar 

  46. Suchman N, Pajulo M, DeCoste C, Mayes L. Parenting interventions for drug-dependent mothers and their young children: the case for an attachment-based approach*. Fam Relat. 2006;55(2):211–26 Available from: http://doi.wiley.com/10.1111/j.1741-3729.2006.00371.x.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Bowlby J. Attachment and loss: retrospect and prospect. Am J Orthopsychiatry. 1982;52(4):664–78 Available from: /record/2013-42256-012 [cited 2021 May 4].

    Article  PubMed  Google Scholar 

  48. Patterson GR. Coercive family processes. Eugene: Castalia; 1982.

    Google Scholar 

  49. Smith JD, Dishion TJ, Shaw DS, Wilson MN, Winter CC, Patterson GR. Coercive family process and early-onset conduct problems from age 2 to school entry. Dev Psychopathol. 2014;26:917–32.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Biringen Z. The emotional availability (EA) scales. 4th ed; 2008.

    Google Scholar 

  51. Joosen KJ, Mesman J, Bakermans-Kranenburg MJ, van IJzendoorn MH. Maternal sensitivity to infants in various settings predicts harsh discipline in toddlerhood. Attach Hum Dev. 2012;14:101–17.

    Article  PubMed  Google Scholar 

  52. Lorenz K. Die angeborenen Formen möglicher Erfahrung. Z Tierpsychol. 1943;5(2):235–409 Available from: http://doi.wiley.com/10.1111/j.1439-0310.1943.tb00655.x.

    Article  Google Scholar 

  53. Thompson-Booth C, Viding E, Mayes LC, Rutherford HJV, Hodsoll S, Mccrory EJ. Here’s looking at you, kid: attention to infant emotional faces in mothers and non-mothers. Dev Sci. 2014;17:35–46.

    Article  PubMed  Google Scholar 

  54. Pearson RM, Lightman SL. Attentional processing of infant emotion during pregnancy and how it is related to depressive symptoms and mother-infant relationships after birth. Arch Womens Mental Health. 2013;14:23–31.

  55. Pearson RM, Lightman SL, Evans J. Attentional processing of infant emotion during late pregnancy and mother-infant relations after birth. Arch Womens Ment Health. 2011;14:23–31.

    Article  PubMed  Google Scholar 

  56. Webb R, Ayers S. Cognitive biases in processing infant emotion by women with depression, anxiety and post-traumatic stress disorder in pregnancy or after birth: a systematic review. Cognit Emot. 2015;29(7):1278–94 Available from: https://pubmed.ncbi.nlm.nih.gov/25472032/ [cited 1 Jun 2021].

    Article  Google Scholar 

  57. Pearson RM, Cooper RM, Penton-Voak IS, Lightman SL, Evans J. Depressive symptoms in early pregnancy disrupt attentional processing of infant emotion. Psychol Med. 2010;40:621–31.

    Article  CAS  PubMed  Google Scholar 

  58. Suchman NE, Luthar SS. The mediating role of parenting stress in methadone-maintained mothers’ parenting. Parenting. 2001;1:285–315.

    Article  PubMed  Google Scholar 

  59. De Palo F, Capra N, Simonelli A, Salcuni S, Di Riso D. Parenting quality in drug-addicted mothers in a therapeutic mother–child community: the contribution of attachment and personality assessment. Front Psychol. 2014;5:1009 Available from: http://journal.frontiersin.org/article/10.3389/fpsyg.2014.01009/abstract.

    PubMed  PubMed Central  Google Scholar 

  60. Hans SL. Demographic and psychosocial characteristics of substance-abusing pregnant women. Clin Perinatol. 1999;26(1):55–74.

    Article  CAS  PubMed  Google Scholar 

  61. Landi N, Montoya J, Kober H, Rutherford HJV, Mencl WE, Worhunsky PD, et al. Maternal neural responses to infant cries and faces: relationships with substance use. Front Psychiatry. 2011;2:32 Available from: http://journal.frontiersin.org/article/10.3389/fpsyt.2011.00032/abstract.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Kim S, Iyengar U, Mayes LC, Potenza MN, Rutherford HJV, Strathearn L. Mothers with substance addictions show reduced reward responses when viewing their own infant’s face. Hum Brain Mapp. 2017;38(11):5421–39 Available from: http://doi.wiley.com/10.1002/hbm.23731.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Field M, Cox WM. Attentional bias in addictive behaviors: a review of its development, causes, and consequences. Drug Alcohol Depend. 2008;97:1–20.

    Article  PubMed  Google Scholar 

  64. Townshend JM, Duka T. Attentional bias associated with alcohol cues: differences between heavy and occasional social drinkers. Psychopharmacology. 2001;157:67–74.

    Article  CAS  PubMed  Google Scholar 

  65. Bridgett DJ, Kanya MJ, Rutherford HJV, Mayes LC. Maternal executive functioning as a mechanism in the intergenerational transmission of parenting: preliminary evidence. J Fam Psychol. 2017;31(1):19–29 Available from: /record/2016-59281-001 [cited 15 Feb 2021].

    Article  PubMed  Google Scholar 

  66. Diamond A. Executive functions. Annu Rev Psychol. 2013;64:135–68.

    Article  PubMed  Google Scholar 

  67. Fay-Stammbach T, Hawes DJ, Meredith P. Parenting influences on executive function in early childhood: a review. Child Dev Perspect. 2014;8(4):258–64.

    Article  Google Scholar 

  68. Barrett J, Fleming AS. Annual research review: all mothers are not created equal: neural and psychobiological perspectives on mothering and the importance of individual differences. J Child Psychol Psychiatry. 2011;52:368–97.

    Article  PubMed  Google Scholar 

  69. Deater-Deckard K, Wang Z, Chen N, Bell MA. Maternal executive function, harsh parenting, and child conduct problems. J Child Psychol Psychiatry Allied Discip. 2012;53:1084–91.

    Article  Google Scholar 

  70. Feil J, Sheppard D, Fitzgerald PB, Yücel M, Lubman DI, Bradshaw JL. Addiction, compulsive drug seeking, and the role of frontostriatal mechanisms in regulating inhibitory control. Neurosci Biobehav Rev. 2010;35:248–75.

    Article  PubMed  Google Scholar 

  71. Goldstein RZ, Volkow ND. Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. Am J Psychiatry. 2002;159:1642–52.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Lubman DI, Yücel M, Pantelis C. Addiction, a condition of compulsive behaviour? Neuroimaging and neuropsychological evidence of inhibitory dysregulation. Addiction. 2004;99:1491–502.

    Article  PubMed  Google Scholar 

  73. Jentsch JD, Taylor JR. Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli. Psychopharmacology. 1999;146:373–90.

    Article  CAS  PubMed  Google Scholar 

  74. Verdejo-García A, Pérez-García M. Profile of executive deficits in cocaine and heroin polysubstance users: common and differential effects on separate executive components. Psychopharmacology. 2007;190:517–30.

    Article  PubMed  CAS  Google Scholar 

  75. Schmidt TP, Pennington DL, Cardoos SL, Durazzo TC, Meyerhoff DJ. Neurocognition and inhibitory control in polysubstance use disorders: comparison with alcohol use disorders and changes with abstinence. J Clin Exp Neuropsychol. 2017;39(1):22–34 Available from: https://www.tandfonline.com/doi/full/10.1080/13803395.2016.1196165.

    Article  PubMed  Google Scholar 

  76. Lowell AF, Maupin AN, Landi N, Potenza MN, Mayes LC, Rutherford HJV. Substance use and mothers’ neural responses to infant cues. Infant Ment Health J. 2020;41:264–77.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Falkenstein M, Hoormann J, Hohnsbein J. ERP components in Go/Nogo tasks and their relation to inhibition. Acta Psychol. 1999;101(2–3):267–91 Available from: http://linkinghub.elsevier.com/retrieve/pii/S0001691899000086.

    Article  CAS  Google Scholar 

  78. Slade A. Parental reflective functioning: an introduction. Attach Hum Dev. 2005;7:269–81.

    Article  PubMed  Google Scholar 

  79. Fonagy P, Target M. Attachment and reflective function: their role in self-organization. Dev Psychopathol. 1997;9:679–700.

    Article  CAS  PubMed  Google Scholar 

  80. Fonagy P, Steele M, Steele H, Moran GS, Higgitt AC. The capacity for understanding mental states: the reflective self in parent and child and its significance for security of attachment. Infant Ment Health J. 1991;12:201–18.

    Article  Google Scholar 

  81. Fonagy P, Gergely G, Jurist EL, Target M. Affect regulation, mentalization and the development of the self. Affect Regulation, Mentalization and the Development of the Self; 2018.

    Book  Google Scholar 

  82. Barone L, Carone N. Childhood abuse and neglect experiences, Hostile-Helpless attachment, and reflective functioning in mentally ill filicidal mothers. Attach Hum Dev. 2020. https://doi.org/10.1080/14616734.2020.1738510 cited 7 Jun 2021.

  83. Grienenberger J, Kelly K, Slade A. Maternal reflective functioning, mother-infant affective communication, and infant attachment: exploring the link between mental states and observed caregiving behavior in the intergenerational transmission of attachment. Attach Hum Dev. 2005;7:299–311.

    Article  PubMed  Google Scholar 

  84. Porreca A, De Carli P, Filippi B, Parolin M, Simonelli A. Mothers’ alexithymia in the context of parental substance use disorder: which implications for parenting behaviors? Child Abuse Negl. 2020;108:104690.

    Article  PubMed  Google Scholar 

  85. Suchman N, DeCoste C, Castiglioni N, Legow N, Mayes L. The mothers and toddlers program: preliminary findings from an attachment-based parenting intervention for substance-abusing mothers. Psychoanal Psychol. 2008;25(3):499.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Suchman NE, DeCoste C, Castiglioni N, McMahon TJ, Rounsaville B, Mayes L. The Mothers and Toddlers Program, an attachment-based parenting intervention for substance using women: post-treatment results from a randomized clinical pilot. Attach Hum Dev. 2010;12(5):483–504 Available from: http://www.tandfonline.com/doi/abs/10.1080/14616734.2010.501983.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Pajulo M, Pyykkönen N, Kalland M, Sinkkonen J, Helenius H, Punamäki RL, et al. Substance-abusing mothers in residential treatment with their babies: importance of pre- and postnatal maternal reflective functioning. Infant Ment Health J. 2012;33:70–81.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Håkansson U, Söderström K, Watten R, Skårderud F, Øie MG. Parental reflective functioning and executive functioning in mothers with substance use disorder. Attach Hum Dev. 2018;20(2):181–207 Available from: https://www.tandfonline.com/doi/full/10.1080/14616734.2017.1398764.

    Article  PubMed  Google Scholar 

  89. Nair P, Schuler ME, Black MM, Kettinger L, Harrington D. Cumulative environmental risk in substance abusing women: early intervention, parenting stress, child abuse potential and child development. Child Abuse Negl. 2003;27(9):997–1017.

    Article  PubMed  Google Scholar 

  90. De Carli P, Bakermans-Kranenburg MJ, Parolin L, Lega C, Zanardo B, Cattaneo Z, et al. A walk on the dark side: TMS over the right inferior frontal gyrus (rIFG) disrupts behavioral responses to infant stimuli. Soc Neurosci. 2019;14:697–704.

    Article  PubMed  Google Scholar 

  91. Pinderhughes EE, Bates JE, Dodge KA, Pettit GS, Zelli A. Discipline responses: influences of parents’ socioeconomic status, ethnicity, beliefs about parenting, stress, and cognitive-emotional processes. J Fam Psychol. 2000;14:380–400.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Abidin RR. Parenting stress index - short form. Charlottesville: Pediatric Psychology Press; 1990.

    Google Scholar 

  93. Couwenbergh C, van Den Brink W, Zwart K, Vreugdenhil C, van Wijngaarden-Cremers P, van Der Gaag RJ. Comorbid psychopathology in adolescents and young adults treated for substance use disorders: a review. Eur Child Adolesc Psychiatry. 2006;15:319–28.

    Article  PubMed  Google Scholar 

  94. Kessler RC. The epidemiology of dual diagnosis. Biol Psychiatry. 2004;56:730–7.

    Article  PubMed  Google Scholar 

  95. Nigg JT, Jester JM, Stavro GM, Ip KI, Puttler LI, Zucker RA. Specificity of executive functioning and processing speed problems in common psychopathology. Neuropsychology. 2017;31:448–66.

    Article  PubMed  PubMed Central  Google Scholar 

  96. Andersson HW, Wenaas M, Nordfjærn T. Relapse after inpatient substance use treatment: a prospective cohort study among users of illicit substances. Addict Behav. 2019;90:222–8.

    Article  PubMed  Google Scholar 

  97. Bays J. Substance abuse and child abuse: impact of addiction on the child. Pediatr Clin N Am. 1990;37(4):881–904.

    Article  CAS  Google Scholar 

  98. Brooks CS, Zuckerman B, Bamforth A, Cole J, Kaplan-Sanoff M. Clinical issues related to substance-involved mothers and their infants. Infant Ment Health J. 1994;15(2):202–17.

    Article  Google Scholar 

  99. Porreca A, Biringen Z, Parolin M, Saunders H, Ballarotto G, Simonelli A. Emotional availability, neuropsychological functioning, and psychopathology: the context of parental substance use disorder. Biomed Res Int. 2018;2018:1–11 Available from: https://www.hindawi.com/journals/bmri/2018/5359037/.

    Article  Google Scholar 

  100. Lehto JE, Juujärvi P, Kooistra L, Pulkkinen L. Dimensions of executive functioning: evidence from children. Br J Dev Psychol. 2003;21:59–80.

    Article  Google Scholar 

  101. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41:49–100.

    Article  CAS  PubMed  Google Scholar 

  102. Collins A, Koechlin E. Reasoning, learning, and creativity: frontal lobe function and human decision-making. PLoS Biol. 2012;10:e1001293.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Lunt L, Bramham J, Morris RG, Bullock PR, Selway RP, Xenitidis K, et al. Prefrontal cortex dysfunction and “Jumping to Conclusions”: bias or deficit? J Neuropsychol. 2012;6:65–78.

    Article  PubMed  Google Scholar 

  104. Cummings JL . Anatomic and behavioral aspects of frontal-subcortical circuits. In J Grafman, KJ Holyoak, & F Boller (Eds.), Structure and functions of the human prefrontal cortex. New York: Academy of Sciences; 1995. p. 1–13.

  105. Ersche KD, Turton AJ, Chamberlain SR, Müller U, Bullmore ET, Robbins TW. Cognitive dysfunction and anxious-impulsive personality traits are endophenotypes for drug dependence. Am J Psychiatry. 2012;169:926–36.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Goldman RS, Goldman MS. Experience-dependent cognitive recovery in alcoholics: a task component strategy. J Stud Alcohol. 1988;49:142–8.

    Article  CAS  PubMed  Google Scholar 

  107. Juffer F, Bakermans-Kranenburg MJ, van IJzendoorn MH. Promoting positive parenting: an attachment-based intervention. Mahwah: Lawrence Erlbaum; 2007.

    Google Scholar 

  108. Barone L, Ozturk Y, Lionetti F. The key role of positive parenting and children’s temperament in post-institutionalized children’s socio-emotional adjustment after adoption placement. A RCT study. Soc Dev. 2019;28(1):136–51 Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/sode.12329 [cited 7 Jun 2021].

    Article  Google Scholar 

  109. Euser S, Vrijhof CI, van den Bulk BG, Vermeulen R, Bakermans-Kranenburg MJ, van IJzendoorn MH. Video-feedback promotes sensitive limit-setting in parents of twin preschoolers: a randomized controlled trial. BMC Psychol. 2021;9(1):1–14. https://doi.org/10.1186/s40359-021-00548-z cited 2021 Jun 8.

    Article  Google Scholar 

  110. O’Farrelly C, Watt H, Babalis D, Bakermans-Kranenburg MJ, Barker B, Byford S, et al. A brief home-based parenting intervention to reduce behavior problems in young children: a pragmatic randomized clinical trial. JAMA Pediatr. 2021;175(6):567–76 Available from: https://jamanetwork.com/ [cited 2021 Jun 8].

    Article  PubMed  Google Scholar 

  111. Blow FC, Walton MA, Bohnert ASB, Ignacio RV, Chermack S, Cunningham RM, et al. A randomized controlled trial of brief interventions to reduce drug use among adults in a low-income urban emergency department: the HealthiER You study. Addiction. 2017;112:1395–405.

    Article  PubMed  Google Scholar 

  112. Bakermans-Kranenburg MJ, van IJzendoorn MH, Juffer F. Less is more: meta-analyses of sensitivity and attachment interventions in early childhood. Psychol Bull. 2003;129:195.

    Article  PubMed  Google Scholar 

  113. Scherbaum N, Specka M. Factors influencing the course of opiate addiction. Int J Methods Psychiatr Res. 2008;17:S39–44.

    Article  PubMed  PubMed Central  Google Scholar 

  114. Tedgård E, Råstam M, Wirtberg I. An upbringing with substance-abusing parents: experiences of parentification and dysfunctional communication. Nordisk Alkohol Nark. 2019;36:223–47.

    PubMed  Google Scholar 

  115. Isosävi S, Flykt M, Belt R, Posa T, Kuittinen S, Puura K, et al. Attachment representations among substance-abusing women in transition to motherhood: implications for prenatal emotions and mother–infant interaction. Attach Hum Dev. 2016;18:391–417.

    Article  PubMed  Google Scholar 

  116. Chan A-W, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346 Available from: https://www.bmj.com/content/346/bmj.e7586 [cited 20 Jul 2021].

  117. Dakof GA, Tejeda M, Liddle HA. Predictors of engagement in adolescent drug abuse treatment. J Am Acad Child Adolesc Psychiatry. 2001;40(3):274–81.

    Article  CAS  PubMed  Google Scholar 

  118. McHugh RK, Murray HW, Hearon BA, Pratt EM, Pollack MH, Safren SA, et al. Predictors of dropout from psychosocial treatment in opioid-dependent outpatients. Am J Addict. 2013;22(1):18–22 Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1521-0391.2013.00317.x [cited 14 Apr 2022].

    Article  PubMed  PubMed Central  Google Scholar 

  119. Deane FP, Wootton DJ, Hsu CI, Kelly PJ. Predicting dropout in the first 3 months of 12-step residential drug and alcohol treatment in an Australian sample. J Stud Alcohol Drugs. 2012;73(2):216–25 Available from: https://www.jsad.com/doi/abs/10.15288/jsad.2012.73.216 [cited 14 Apr 2022].

    Article  PubMed  Google Scholar 

  120. Samuel DB, Lapaglia DM, MacCarelli LM, Moore BA, Ball SA. Personality disorders and retention in a therapeutic community for substance dependence. Am J Addict. 2011;20:555–62 Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1521-0391.2011.00174.x [cited 2022 Apr 14].

    Article  PubMed  Google Scholar 

  121. Efird J. Blocked randomization with randomly selected block sizes. Int J Environ Res Public Health. 2011;8:15–20.

    Article  PubMed  Google Scholar 

  122. Tetzlaff JM, Chan AW, Kitchen J, Sampson M, Tricco AC, Moher D. Guidelines for randomized clinical trial protocol content: a systematic review. Syst Rev. 2012;1(1):43 Available from: /pmc/articles/PMC3533811/ [cited 7 Apr 2022].

    Article  PubMed  PubMed Central  Google Scholar 

  123. R Development Core Team. The R project for statistical computing. Team RDC, editor. Vienna: R Foundation for Statistical Computing; 2021.

    Google Scholar 

  124. Pourhoseingholi MA, Vahedi M, Rahimzadeh M. Sample size calculation in medical studies. Gastroenterol Hepatol From Bed Bench. 2013;6(1):14 Available from: /pmc/articles/PMC4017493/ [cited 10 Apr 2022].

    Google Scholar 

  125. van IJzendoorn MH, Schuengel C, Wang Q, Bakermans-Kranenburg MJ. Improving parenting, child attachment, and externalizing behaviors: meta-analysis of the first 25 randomized controlled trials on the effects of Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline. Dev Psychopathol. 2022:1–16 Available from: https://www.cambridge.org/core/journals/development-and-psychopathology/article/improving-parenting-child-attachment-and-externalizing-behaviors-metaanalysis-of-the-first-25-randomized-controlled-trials-on-the-effects-of-videofeedback-intervention-to-promote-positive-parenting-and-sensitive-discipline/D6711F49014002C4FFB1A713E2A28743 [cited 21 Apr 2022].

  126. Kenny DA, Judd CM. Power anomalies in testing mediation. Psychol Sci. 2014;25(2):334–9 Available from: http://journals.sagepub.com/doi/10.1177/0956797613502676 [cited 4 Mar 2021].

    Article  PubMed  Google Scholar 

  127. Haliduola HN, Bretz F, Mansmann U. Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling. Biometrical J. 2022:1–20 Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/bimj.202000393 [cited 14 Apr 2022].

  128. Detry MA, Lewis RJ. The intention-to-treat principle: how to assess the true effect of choosing a medical treatment. JAMA. 2014;312(1):85–6 Available from: https://jamanetwork.com/journals/jama/fullarticle/1884555 [cited 14 Apr 2022].

    Article  CAS  PubMed  Google Scholar 

  129. Barone L, Barone V, Dellagiulia A, Lionetti F. Testing an attachment-based parenting intervention-VIPP-FC/A in adoptive families with post-institutionalized children: do maternal sensitivity and genetic markers count? Front Psychol. 2018;9:156 Available from: http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00156/full [cited 4 May 2021].

    Article  PubMed  PubMed Central  Google Scholar 

  130. Groeneveld MG, Vermeer HJ, van IJzendoorn MH, Linting M. Enhancing home-based child care quality through video-feedback intervention: a randomized controlled trial. J Fam Psychol. 2011;25(1):86–96 Available from: /record/2011-03781-009 [cited 4 May 2021].

    Article  PubMed  Google Scholar 

  131. Werner CD, Vermeer HJ, Linting M, van IJzendoorn MH. Video-feedback intervention in center-based child care: a randomized controlled trial. Early Child. Restor Q. 2018;42:93–104.

    Google Scholar 

  132. Casonato M, Nazzari S, Frigerio A. Feasibility and efficacy of an attachment-based intervention in a maltreatment sample in residential care: a pilot study. Clin Child Psychol Psychiatry. 2017;22(4):561–71 Available from: http://journals.sagepub.com/doi/10.1177/1359104517719115 [cited 4 May 2021].

    Article  PubMed  Google Scholar 

  133. Kalinauskiene L, Cekuoliene D, van IJzendoorn MH, Bakermans-Kranenburg MJ, Juffer F, Kusakovskaja I. Supporting insensitive mothers: the Vilnius randomized control trial of video-feedback intervention to promote maternal sensitivity and infant attachment security. Child Care Health Dev. 2009;35(5):613–23 Available from: http://doi.wiley.com/10.1111/j.1365-2214.2009.00962.x [cited 4 May 2021].

    Article  CAS  PubMed  Google Scholar 

  134. Pereira M, Negrão M, Soares I, Mesman J. Decreasing harsh discipline in mothers at risk for maltreatment: a randomized control trial. Infant Ment Health J. 2014;35(6):604–13 Available from: http://doi.wiley.com/10.1002/imhj.21464 [cited 4 May 2021].

    Article  PubMed  Google Scholar 

  135. van Zeijl J, Mesman J, van IJzendoorn MH, Bakermans-Kranenburg MJ, Juffer F, Stolk MN, et al. Attachment-based intervention for enhancing sensitive discipline in mothers of 1- to 3-year-old children at risk for externalizing behavior problems: a randomized controlled trial. J Consult Clin Psychol. 2006;74(6):994–1005 Available from: https://pubmed.ncbi.nlm.nih.gov/17154730/ [cited 4 May 2021].

    Article  PubMed  Google Scholar 

  136. LoBue V, Thrasher C. The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults. Front Psychol. 2015;5 Available from: http://journal.frontiersin.org/article/10.3389/fpsyg.2014.01532/abstract.

  137. Friedman NP, Miyake A. The relations among inhibition and interference control functions: a latent-variable analysis. J Exp Psychol Gen. 2004;133(1):101–35.

    Article  PubMed  Google Scholar 

  138. Loeber S, Vollstädt-Klein S, von der Goltz C, Flor H, Mann K, Kiefer F. Attentional bias in alcohol-dependent patients: the role of chronicity and executive functioning. Addict Biol. 2009;14(2):194–203 Available from: http://doi.wiley.com/10.1111/j.1369-1600.2009.00146.x [cited 2 Apr 2021].

    Article  PubMed  Google Scholar 

  139. Landis RS, Beal DJ, Tesluk PE. A comparison of approaches to forming composite measures in structural equation models. Organ Res Methods. 2000;3:186–207.

    Article  Google Scholar 

  140. Song MK, Lin FC, Ward SE, Fine JP. Composite variables: when and how. Nurs Res. 2013;62(1):45–9 Available from: /pmc/articles/PMC5459482/ [cited 6 May 2021].

    Article  PubMed  PubMed Central  Google Scholar 

  141. Luyten P, Mayes LC, Nijssens L, Fonagy P. The parental reflective functioning questionnaire: development and preliminary validation. PLoS One. 2017;12(5):e0176218. https://doi.org/10.1371/journal.pone.0176218 cited 5 May 2021.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  142. Bezdjian S, Baker LA, Lozano DI, Raine A. Assessing inattention and impulsivity in children during the Go/NoGo task. Br J Dev Psychol. 2009;27:365–83.

    Article  PubMed  PubMed Central  Google Scholar 

  143. Corsi PM. Memory and the Medial Temporal Region of the Brain. Montreal: Doctoral Thesis in Philosophy, McGill University; 1972.

  144. Kessels RPC, van Zandvoort MJE, Postma A, Kappelle LJ, De Haan EHF. The Corsi block-tapping task: standardization and normative data. Appl Neuropsychol. 2000;7:252–8.

    Article  CAS  PubMed  Google Scholar 

  145. Berg EA. A simple objective technique for measuring flexibility in thinking. J Gen Psychol. 1948;39:15–22.

    Article  CAS  PubMed  Google Scholar 

  146. Nelson HE. A modified card sorting test sensitive to frontal lobe defects. Cortex. 1976;12:313–24.

    Article  CAS  PubMed  Google Scholar 

  147. Piper BJ, Li V, Eiwaz MA, Kobel YV, Benice TS, Chu AM, et al. Executive function on the Psychology Experiment Building Language tests. Behav Res Methods. 2012;44:110–23.

    Article  PubMed  PubMed Central  Google Scholar 

  148. Fox CJ, Mueller ST, Gray HM, Raber J, Piper BJ. Evaluation of a Short-Form of the Berg Card Sorting Test. PLoS One. 2013;8:e63885.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  149. Shallice T. Specific impairments of planning. Philos Trans R Soc Lond Ser B Biol Sci. 1982;298:199–209.

    CAS  Google Scholar 

  150. Fimbel E, Lauzon S, Rainville C. Performance of humans vs. exploration algorithms on the Tower of London Test. PLoS One. 2009;4:e7263.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  151. Phillips LH, Wynn V, Gilhooly KJ, Della Sala S, Logie RH. The role of memory in the Tower of London task. Memory. 1999;7:209–31.

    Article  CAS  PubMed  Google Scholar 

  152. Mueller ST, Piper BJ. The Psychology Experiment Building Language (PEBL) and PEBL Test Battery. J Neurosci Methods. 2014;222:250–9.

    Article  PubMed  Google Scholar 

  153. Derogatis LR. Symptom checklist-90-R: administration, scoring & procedure manual for the revised version of the SCL-90. Minneapolis: National Computer Systems; 1994.

    Google Scholar 

  154. McCoy CE. Understanding the intention-to-treat principle in randomized controlled trials. West J Emerg Med. 2017;18:1075–8 Available from: /pmc/articles/PMC5654877/ [cited 16 Feb 2021]. eScholarship.

    Article  PubMed  PubMed Central  Google Scholar 

  155. Draper NR, Cox DR. On distributions and their transformation to normality. J R Stat Soc Ser B. 1969;31(3):472–6 Available from: https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.2517-6161.1969.tb00806.x [cited 6 May 2021].

    Google Scholar 

  156. Jeliĉić H, Phelps E, Lerner RM. Use of missing data methods in longitudinal studies: the persistence of bad practices in developmental psychology. Dev Psychol. 2009;45:1195.

    Article  PubMed  Google Scholar 

  157. Montoya AK, Hayes AF. Two-condition within-participant statistical mediation analysis: a path-analytic framework. Psychol Methods. 2017;22(1):6–27 Available from: http://doi.apa.org/getdoi.cfm?doi=10.1037/met0000086.

    Article  PubMed  Google Scholar 

  158. Brett J, Staniszewska S, Mockford C, Herron-Marx S, Hughes J, Tysall C, et al. Mapping the impact of patient and public involvement on health and social care research: a systematic review. Health Expect. 2014;17(5):637–50 Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1369-7625.2012.00795.x [cited 7 Apr 2022].

    Article  PubMed  Google Scholar 

  159. Meier PS, Barrowclough C, Donmall MC. The role of the therapeutic alliance in the treatment of substance misuse: a critical review of the literature. Addiction. 2005;100(3):304–16.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Auditing

Given that the trial did not receive major funding and no medical treatment is involved, no independent audit is foreseen.

Funding

Part of the study was funded by the University of Padua, as part of Alessio Porreca’s doctoral program (October 2018–September 2022), and by the Italian Association of Psychology (AIP) through the Prize “E-Care International Research Arena” (September 2021).

Author information

Authors and Affiliations

Authors

Contributions

AP conceived the study, drafted the manuscript, and contributed to the study design. AS conceived the study, supervised the first author in the study design, and revised the manuscript critically for important intellectual content. PDC conceived the study, supervised the first author in the study design, and contributed to the manuscript, planning the analyses, and performing the power analysis. LB provided guidance on the planning of the intervention and revised the manuscript critically for important intellectual content. BF contributed to the manuscript draft. PR contributed to the design of the experimental tasks and revised the manuscript critically for important intellectual content. MHvIJ and MJBK provided overall guidance in the RCT design and significantly contributed to the development of the protocol, supervising the study design and the manuscript draft. All the authors carefully read and approved the final version of the manuscript.

Corresponding author

Correspondence to Alessio Porreca.

Ethics declarations

Ethics approval and consent to participate

The research protocol received ethical approval from the Ethical Committee of the University of Padua (Protocol: 3475). Before the first assessment phase, participants will be requested written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

SPIRIT checklist.

Additional file 2.

SPIRIT figure.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Porreca, A., Simonelli, A., De Carli, P. et al. A randomized wait-list controlled trial to investigate the role of cognitive mechanisms in parenting interventions on mothers with substance use disorder. Trials 23, 588 (2022). https://doi.org/10.1186/s13063-022-06420-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13063-022-06420-8

Keywords