Skip to main content

Mindfulness as a complementary intervention in the treatment of overweight and obesity in primary health care: study protocol for a randomised controlled trial



Mindfulness has been applied in the United States and Europe to improve physical and psychological health; however, little is known about its feasibility and efficacy in a Brazilian population. Mindfulness may also be relevant in tackling obesity and eating disorders by decreasing binge eating episodes—partly responsible for weight regain for a large number of people—and increasing awareness of emotional and other triggers for overeating. The aim of the present study protocol is to evaluate and compare the feasibility and efficacy of two mindfulness-based interventions (MBIs) addressing overweight and obesity in primary care patients: a general programme called Mindfulness-Based Health Promotion and a targeted mindful eating protocol called Mindfulness-Based Eating Awareness Training.


A randomised controlled trial will be conducted to compare treatment as usual separately in primary care with both programmes (health promotion and mindful eating) added to treatment as usual. Two hundred forty adult women with overweight and obesity will be enrolled. The primary outcome will be an assessment of improvement in eating behaviour. Secondary outcomes will be (1) biochemical control; (2) anthropometric parameters, body composition, dietary intake and basal metabolism; and (3) levels of mindfulness, stress, depression, self-compassion and anxiety. At the end of each intervention, a focus group will be held to assess the programme’s impact on the participants’ lives, diet and health. A feasibility study on access to benefits from and importance of MBIs at primary care facilities will be conducted among primary care health care professionals and participants. Monthly maintenance sessions lasting at least 1 hour will be offered, according to each protocol, during the 3-month follow-up periods.


This clinical trial will result in more effective mindfulness-based interventions as a complementary treatment in primary care for people with overweight and obesity. If the findings of this study confirm the effectiveness of mindfulness programmes in this population, it will be possible to improve quality of life and health while optimising public resources and reaching a greater number of people. In addition, on the basis of the evaluation of the feasibility of implementing this intervention in primary care facilities, we expect to be able to suggest the intervention for incorporation into public policy.

Trial registration, NCT02893150. Registered retrospectively on 30 March 2017.

Peer Review reports


Obesity is a problem that affects people in both developed and developing countries. Brazil has been undergoing a rapid demographic, nutritional and epidemiological transition accompanied by an increase in obesity in different population groups. In the current epidemiological setting, which has seen a decline in rates of infectious diseases, there has been a noteworthy rise in noncommunicable chronic diseases (NCDs), including obesity. With this has come increased caloric intake associated with adipose tissue gain and concomitantly a risk factor for other NCDs, such as hypertension, diabetes, cardiovascular disease and cancer. This is a critical public health problem, particularly in Brazil, where 72% of deaths are related to such diseases [1]. More than half of the Brazilian population is overweight, and obesity currently affects 20% of adults [2]. A study of food consumption between 1970 and 2009 showed a trend of increasing consumption of ultra-processed foods (baked goods, sausages, soft drinks, ready meals), and the researchers in that study also noted a reduction in the consumption of basic foods such as eggs, animal fats, fish, roots, tubers and rice, aside from the consumption of fruits and vegetables, which remained stable, albeit representing less than half of the recommended daily intake [3].

Primary health care (PHC) is fundamental for promoting, protecting and maintaining health; supporting epidemiological surveillance; and contributing to health education actions [4]. According to the World Health Organisation [5], a fundamental goal is the ability to receive and treat overweight individuals and the ability to direct care to other health units and staff in order to ensure total care of the individual with highly relevant diseases with multifactorial aetiology.

The prevention and treatment of overweight (body mass index [BMI] ≥ 25 kg/m2 and < 30 kg/m2) and obesity (BMI ≥ 30 kg/m2) is facilitated by an interdisciplinary approach in order to enhance the effectiveness of primary care (PC) teams. This is consistent with an increasing expansion of knowledge about the complexity of these diseases and allows for better provision of care.

A range of theoretical psychobiological approaches have addressed the underlying causes of excess food intake, which result in overweight and obesity. For example, from a psychoanalytical viewpoint, there is a linkage between a person’s needs and body limitations and the desire to obtain pleasure and avoid displeasure [6]. From a cognitive behavioural perspective, both behavioural and cognitive habits in relation to food intake develop over many years, leading to habits and food choices that become increasingly automatic [7]. In relation to the dysfunctional thoughts commonly present in overweight and obese individuals, mindfulness also has been an important tool for achieving more functional thoughts and providing better psychological health [8, 9]. When one accepts certain natural conditions of life (openness, curiosity, gentleness and non-judgement, as experienced in the mindfulness approach), it becomes easier to respond to such conditions in a more creative and functional way [9, 10]. Moreover, people with higher levels of trait mindfulness appear to have more appropriate nutritional states [11]. Mindfulness practice may also decrease inflammatory response; therefore, given that obesity is also considered an inflammatory disease, further investigation of these effects may support the value of mindfulness-based programmes [10,11,12,13,14].

Mindfulness may also have a particular relevance in obesity and eating disorders by reducing the episodes of binge eating, partly responsible for weight regain in a large number of people, and improving eating behaviour, as demonstrated in the Mindfulness-Based Eating Awareness Training (MB-EAT) programme by promoting awareness of unbalanced emotional states and physiological indicators generated by the process [15, 16]. Results of the meta-analyses of random effects demonstrate the medium- and long-term effects of these interventions on binge eating [17]. Multiple studies support the value of mindfulness-based interventions (MBIs) targeted at eating behaviours. They have also been adapted for use on a broader range of overweight and obese individuals with no binge eating disorders and have been shown to lead to improvement in eating behaviour and weight loss [18, 19].


The aim of the present study is to evaluate the feasibility and relative efficacy of two MBIs by enrolling overweight and obese PC patients: the Mindfulness-Based Health Promotion (MBHP) programme and MB-EAT. The control condition will be treatment as usual (TAU).


The following are our hypotheses:

  1. 1.

    An MBI, regardless of whether it is a general programme or specifically designed for eating problems, improves eating behaviour if added to TAU.

  2. 2.

    A targeted MBI (MB-EAT) is more effective than a general MBI programme for improving eating behaviour.

  3. 3.

    Both MBIs (MBHP and MB-EAT) will improve mindfulness, nutritional status, biochemical parameters, self-compassion, anxiety, depression, stress and eating behaviour.

  4. 4.

    The provision of MBIs is feasible in the context of PC.

  5. 5.

    MB-EAT promotes changes other than merely treating eating behaviour.

  6. 6.

    The MBHP programme promotes changes in eating behaviour.

  7. 7.

    In both protocols, participants engage in short practices which tend to be performed even less frequently after the end of the programme.


We are conducting a randomised controlled trial with stratified random allocation (nutritional status and level of overweight and obesity) of adult women and a blinded intervention status. The steps of this study will be based on the Consolidated Standards of Reporting Trials (CONSORT) [20] guidelines for reporting randomised controlled trials in a clear, transparent and comprehensive manner. These guidelines are currently endorsed by 585 international journals and more than 50% of medical journals indexed in PubMed (CONSORT). The CONSORT 2010 guideline will be used, together with an extension of CONSORT designed for applied studies [21]. The planned flow diagram of this trial is presented in Fig. 1. The protocol is reported according to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT; Fig. 2 and Additional file 1). This study was retrospectively registered with (NCT02893150) on 30 March 2017.

Fig. 1

Diagram of planned study flow. TAU Treatment as usual, MBHP Mindfulness-Based Health Promotion, MB-EAT Mindfulness-based eating awareness training

Fig. 2

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) diagram. Abbreviations: TAU, Treatment as usual; MBHP, Mindfulness based Health Promotion; MB-EAT, Mindfulness Based Eating Awareness Training; HADS, Hospital Anxiety and Depression Scale; BES, Binge Eating Scale; BES, Binge Eating Scale; BPAAT, Brief Physical Activity Assessment Tool; DEBQ, Dutch Food Behavior Questionnaire; EAT 26, Eating Attitude Test; FFQ, Food Frequency Questionnaire; HADS, Hospital Anxiety and Depression Scale, HBA1C, glycated hemoglobin; BDNF, Brain Derived Neurotrophic Factor; MAAS, Mindful Attention Awareness Scale; SCS, Self Compassion Scale; T1: 8 or 10 weeks Post Intervention, (TAU, TAU+ MBHP, TAU + MB-EAT); T2: 3 Months Post Intervention (TAU, TAU+ MBHP, TAU + MB-EAT); US-CRP, Ultra-sensitive C Reactive Protein

Participants and setting

The sample will comprise 240 female adults with excess weight (overweight or obese) who attend PC spontaneously and of their own accord, especially in the Santo Amaro (São Paulo), and who meet the inclusion criteria for the study. Power analysis was calculated a priori using G*Power 3.1 [22] for repeated-measures analysis of variance (ANOVA). The results indicated that a sample size of 240 (n = 80 per group) is needed, with a significance level of 5% and a power of 80% to detect significant main effects of group and time, with a small to moderate effect size (Cohen’s f = 0.25), and allowing for a dropout rate of about 20%.


Brazil’s publicly funded health system Sistema Único de Saúde (SUS), was created in 1988 [23]. The expansion and qualification of PHC is seen as a fundamental policy in structuring and strengthening the SUS and has been supported by the country’s Ministry of Health over the last 20 years. Several financial and organisational strategies have been used to address this challenge, notably the Family Health Strategy (FHS). The FHS consolidates a model of community-oriented PC facilities, known as basic health Units (BHUs), run by a team of nurses, general practitioners and community health workers. It includes comprehensive care, working with cultural competence and social accountability, and focuses on local families and community-based health care [24]. The FHS prioritises coverage of vulnerable low-income populations and now covers about 65% of Brazilian citizens (more than 125 million people in August 2014) [24].

The city of São Paulo, where this study will be conducted, is responsible for coordinating health care provision within its area, which is divided into six regions: Central, Western, Eastern, Northern, South-eastern, and Southern. The Southern region, in which this work will be concentrated, comprises the administrative divisions—or subprefectures—of Campo Limpo, Capela do Socorro, Cidade Ademar, M’Boi Mirim, Parelheiros and Santo Amaro. The Southern region, with 2.7 million inhabitants, is the most populated region in the city. One of the inclusion criteria will comprise residence in one of the following subprefectures: Campo Limpo (26 BHUs), Cidade Ademar (26 BHUs), M’Boi Mirim (31 BHUs) and Santo Amaro (5 BHUs).

An introductory lecture will be scheduled for anyone interested in participating in the research in order to point out its aims and the procedures involved. Anyone who agrees to participate in it will be required to sign an informed consent form. After the introductory lecture, evaluation tools featuring the participants’ baseline (T0) data will be applied to those who give their informed consent. The volunteers will then be randomised into one of three groups (G1, G2 or G3) and will be invited to participate in one of two programmes based on mindfulness for quality of life, lasting 10 weeks and 8 weeks (until randomisation), respectively. This is a single-blind study. The person responsible for performing the data analysis will be blind to the type of intervention. Both interventions (MBHP and MB-EAT) will be conducted by the lead researcher of this study in order to prevent inter-facilitator variability. After participants have given informed consent, they will be assessed on the basis of the inclusion and exclusion criteria. After the clarification of research procedures with the volunteers, they will then be included in a preliminary list and assigned a numeric code, which will subsequently be sent for randomisation. The participants will be randomly assigned to one of the three conditions. Randomisation will be performed by a statistician who is a member of the research team, by means of Sealed Envelope Ltd. 2017 statistics software (Sealed Envelope Ltd., London, UK) (seed 257983895669536) to allocate 15 participants to each group. The staff at the corresponding BHU will refer the participants to the research team and will also inform them of the day and time when the group sessions will be held. Allocation of participants to the groups will be performed using the restricted method to ensure balanced group sizes. The permuted block randomisation method is to be used with a 1:1:1 allocation ratio.

Participants will remain blinded to their group allocation until the first meeting. The lead researcher will be responsible for delivering both protocols and will therefore be an unblinded study member and will not be involved in the outcome analysis or data analysis (see Fig. 1).

As an attempt to improve adherence to the programme, all groups will receive an invitation to a monthly maintenance session (according to each protocol after the end of the programme, at 8 or 10 weeks) in addition to weekly emails with suggestions regarding formal and informal practices. Adherence to mindfulness practices by groups G2 and G3 will be evaluated at T1 and T2 with an appropriate form. Attendance will be monitored at each session; any individual who has not participated in at least half + 1 of the programme’s total sessions will be considered a loss to dropout. Each week the participants will be invited to keep a practice journal, and average practice at home, type of practice, frequency and so forth will be verified in their own form in the post-intervention evaluation and follow-up.

Inclusion criteria

The following are the inclusion criteria:

  • Women aged ≥ 18 and < 60 years

  • Literate

  • BMI ≥ 25 kg/m2 and < 40 kg/m2

  • An interest in the aims of this study and provision of informed consented to be randomised to one of the three groups (G1 = control or TAU, G2 = MBHP + TAU, or G3 = MB-EAT + TAU)

Exclusion criteria

The following are the exclusion criteria:

  • Pharmacological treatment for obesity

  • BMI ≥ 40 kg/m2, because individuals in this state are usually already receiving specialised services (ambulatory or hospital setting) and medication

  • Cushing syndrome

  • Pregnant or intending to become pregnant within the following 6 months

  • Pacemaker bearers

  • Illiterate

  • A substance use issue (drugs and/or alcohol)

  • Untreated hypothyroidism or hyperthyroidism

  • Acute-phase depression (< 6 months with depression), diagnosed with schizophrenia or psychotic disorders, use of drugs that cause cognitive attentional and concentration losses (such as powerful anti-anxiety drugs)

  • Practitioners of mindfulness, meditation, yoga or similar practices in the previous 6 months (with formal practice at least once per week);

  • Any type of bariatric surgery


Socio-demographic health and quality of life

Data to be collected include age, sex, marital status, education level, professional status, number of hours of sleep, morbidity profile and bowel habits.

Eating Attitude Test

The Eating Attitude Test indicates the presence of abnormal eating patterns and provides an index of the severity of typical concerns of patients with eating disorders. The instrument consists of 26 items, with 6 response options (always, very often, often, sometimes, rarely and never), with factor analysis performed on these items in three aspects (diet, bulimia nervosa and oral control) [25].

Dutch Food Behaviour Questionnaire

The Dutch Food Behaviour Questionnaire (DBEQ) is a self-applied questionnaire validated by Wardle [26] and adapted and translated into Portuguese by Almeida [27]. The questionnaire comprises 33 items assessed on a scale of 5 points (never=1, rarely=2, sometimes=3, often=4, very often=5), spread across three scales: the scale of restriction includes 10 items; the external intake range also consists of 10 items; and the scale of emotional intake consists of 13 items.

  • Restricted food intake: the participants’ eating style and knowledge of nutritional habits and the effort they regularly exert to control their appetite and food intake.

  • Emotional eating: related to the person’s emotional state, it represents the loss of control over food intake due to exposure to factors of emotional stress, which results in food disinhibition.

  • Food intake due to external factors: eating influenced by how attractive the flavour and taste of food is; it will represent the disinhibition or loss of control that occurs due to external factors intrinsic to the food available or the social situation in which they are offered.

Binge Eating Scale

The Binge Eating Scale (BES) is a self-applied questionnaire developed by Gormally et al. [28] that is widely used in English-speaking countries and has been translated into Portuguese for use in Brazil by Freitas et al. [29]. It shows how to appropriately discriminate obese individuals according to the severity of their binge eating. It consists of a list of 16 items assessed on a Likert scale. Every statement matches a number from 0 to 3 points, ranging from the absence (“0”) to the maximum severity (“3”) of binge eating. The final score is the result of the sum of the points for each item. Scoring is as follows: ≤ 17 = normal; 17–30 = variation in tendency to eat a lot (anything really); ≥ 30 or more = binge eating.

Mindfulness skills

The Mindful Attention Awareness Scale evaluates the level of mindfulness and presents a one-dimensional structure with 15 items, answered using a Likert scale of 6 points [10]. It is the most widely used mindfulness scale in research on the subject and is validated for use in Brazil [30].

Self-Compassion Scale

The Self-Compassion Scale contains 26 items that measure the feeling of self-compassion through positive factors such as self-kindness and gentleness, state of mindfulness and a feeling of belonging to humanity, as well as negative factors such as self-judgement, isolation and excessive self- identification [31]. This scale is validated in Portuguese [32].

Compassion allows the person to have a non-judgemental attitude and acceptance of her or his own mistakes, as well as an understanding, affection and kindness towards oneself and one’s failures [33,34,35]. Individuals with obesity often have feelings of guilt and a lack of care and kindness towards themselves, which impairs the success of any attempts at dietary treatment and weight control.

Hospital Anxiety and Depression Scale

The Hospital Anxiety and Depression Scale (HADS) of Zigmond and Snaith [36] consists of 14 items. Seven of these are for evaluation of anxiety (HADS-A), and the remaining seven form a depression scale (HADS-D). The scale of measurement is 4 points, ranging from 0 to 3, with each scale reaching 21 points. Marcolino et al. [37] recommended a score ≥ 9 as a cut-off point for both subscales. The following definitions are attributed to scores on both scales:

  • HAD-A/D: 0–8, without anxiety; ≥ 9, with anxiety

  • HAD-A/D: 9–10, mild

  • HAD-A/D: 11–14, moderate

  • HAD-A/D: 15–21, severe

Brief Physical Activity Assessment Tool

The Brief Physical Activity Assessment Tool is a questionnaire administered by a health care professional. It comprises two questions that measure the frequency and duration of physical activity and its intensity, both vigorous and moderate, during a typical week. The scoring system identifies people who are active enough (performing at least three sessions per week of 20 minutes each with vigorous intensity, at least five sessions per week of 30 minutes with moderate intensity or at least five sessions of any combination of physical activities, moderate or vigorous) [38, 39]. Physical activity is also to be evaluated as a categorical variable, according to type of activity, frequency and duration.

Transtheoretical Model (Stages of Change)

The Transtheoretical Model (Stages of Change) theory views behaviour change as a process in five stages based on the behaviour demonstrated by the person and the person’s intention to change. These stages are as follows:

  1. 1.

    Precontemplation: The person is not ready to consider change.

  2. 2.

    Contemplation: There is awareness of the need for behaviour change but no real commitment in this direction.

  3. 3.

    Preparation: There is an intention to change and act in about 1 month.

  4. 4.

    Action: Specific changes occur with intent to change lifestyle behaviours.

  5. 5.

    Maintenance: The changes have been achieved, and the focus is on avoiding relapses [40].

An intervention based on the Transtheoretical Model will help to promote anthropometric and nutritional improvements [41]. In this work, we will use the proposition by the Brazilian Health Ministry [42, 43] for the evaluation of the stages of change regarding weight loss in order to check the participants’ adherence to the treatment in the different intervention groups and the control group.

Dietary intake

Dietary intake will be evaluated by applying the Food Frequency Questionnaire for obesity, which has previously been validated [44]. This questionnaire will be used to evaluate dietary intake from a qualitative point of view, according to the different food groups and how frequently they are consumed before, prior to and after the intervention and at follow-up.

Anthropometric assessment

The anthropometric assessment will be composed of collecting weight, height and waist circumference measurements. The participants will be classified according to BMI using the World Health Organisation cut-off points [45].

Body composition

Body composition will be assessed by bioelectrical impedance analysis using a BIA 450 version 5.1 device (Biodynamics, Shoreline, WA, USA), which emits a low-intensity electrical current (800 μA to 50 kHz) that runs through the person’s body to measure resistance, reactance and phase angle [46]. The volunteers will be instructed on pre-test procedures following the manufacturer’s recommendations. Bioelectrical impedance analysis will require a total evaluation time of approximately 1 minute.

Basal metabolic rate

Basal metabolic rate will be evaluated by use of MetaCheck calorimeter version 2.05 (KORR Medical Technologies, Salt Lake City, UT, USA). Indirect calorimetry is a safe, practical and non-invasive method which uses a portable device. This technique measures energy expenditure by analysing the volume of oxygen consumed (VO2), the volume of carbon dioxide produced (VCO2) and the respiratory quotient (VO2/VCO2), which enables the amount of energy needed for metabolic processes to be assessed. This evaluation will require a total time of approximately 15 minutes [47, 48].

Biochemical analysis

All tests (fasting blood glucose, haemoglobin A1c, insulin, total cholesterol, fractions and triglycerides, serum cortisol and ultra-sensitive C-reactive protein will be performed and samples collected between 7 and 9 a.m. according to the procedures described by the São Paulo Municipal Health Department [49] at each of the BHUs participating in the research. Brain-derived neurotrophic factor (BDNF) will be measured using the enzyme-linked immunosorbent assay method. BDNF has been associated with various aspects of plasticity in the brain. Stress-induced remodelling of the cortex, hippocampus and amygdala coincides with changes in BDNF levels. It is known that some forms of mindfulness meditation training can reduce stress-induced cortisol secretion, which could have neuroprotective effects by increasing levels of BDNF [50]. Samples for alpha-1-glycoprotein analysis (marker of inflammation) will be collected at baseline and at 8 or 10 weeks (according to the type of intervention) as well as 3 months post-intervention at the outpatient clinic of the Universidade Federal de São Paulo on the same day as completion of psychometric scales, food consumption and body composition evaluations. In addition to the quantitative analysis, this study will include qualitative evaluation; data will be gathered from focal groups, with open-ended questions about the expectations of the programme, the viability and implications in an everyday context, and changes in eating behaviour after the end of the intervention.

Follow-up assessments

The evaluations for the main outcome (eating behaviour) and the secondary outcomes (mindfulness skills, self-compassion, nutritional status, depression and stress) will occur at baseline (T0), immediately after the 8- or 10-week intervention (T1) and at 3 months post-intervention (T2) (see Table 1). The outcomes of the practices, unexpected (adverse) effects and maintenance of and adherence to practices will all be evaluated in the T1–T2 intervals. The estimated time for completing the questionnaires and other evaluations is approximately 90 minutes, and the questionnaires will be administered before the beginning of the first and last sessions of each group, as well as at follow-up. For groups G2 and G3, one session will be offered each month to cultivate and strengthen the practice of mindfulness in the group, according to the practices described in each protocol. After the 3-month follow-up, the control group will be offered what is determined to be the most effective intervention, either MB-EAT or MBHP (Table 1).

Table 1 Overview of measures and corresponding measurement time points



According to nutritional status, overweight or obesity, as well as the presence of co-morbidity, different actions can comprise the treatment offered in PC [1]. For individuals presenting with overweight (BMI 25–29.9 kg/m2) but with no co-morbidities, PC teams at the different BHUs will organise care plans to enable them to achieve a normal BMI range (BMI 18.5–24.9 kg/m2).

Aside from the participants’ inclusion in group activities, for those who have co-morbidities such as hypertension and diabetes, individual dietary prescriptions will be offered by a nutritionist if deemed necessary. This decision will be discussed between the PC and matrix support teams.

For treatment of obesity (BMI 30–40 kg/m2) with or without co-morbidities, PC teams from the corresponding BHUs and matrix support teams must assess the need for the provision of behavioural therapy and pharmacotherapy, and must organise it, when appropriate, because these are usually provided within the PC system. Group activities can be offered to promote healthy eating and physical exercise. The more complex cases or cases with a BMI ≥ 40 kg/m2 will be assisted by specialised services (ambulatory or hospital setting).

The MBHP and MB-EAT groups will be led by a researcher who has experience in both protocols and specific meditation training and practice. The MBHP group will have a minimum of 8 participants and a maximum of 20; the MB-EAT group will have between 8 and 15 participants.

Mindfulness-Based Health Promotion + TAU

Our research groups (in Brazil and Spain) developed a general MBI that is an 8-week programme called Mindfulness-Based Health Promotion (MBHP) [51]. It is based on the original model developed by Kabat-Zinn et al. (mindfulness-based stress reduction [MBSR]) [52, 53] and subsequently adapted by our research group to better fit the context and needs of PHC as well as the local and national health systems [54]. It has been applied by the “Mente Aberta” Centre in Brazil ( and by the University of Zaragoza in Spain ( The sixth of these sessions is conducted in silence for the purpose of deepening the practice of mindfulness [51] and is similar to the MBSR retreat day session, but it is adapted to make it more feasible to implement in health centres and facilities. This more didactic and clearer sequence of the content helps improve the training of PHC providers, such as mindfulness teachers, enabling them to offer the programme to patients independently (cascading effect) [51].

As with MBSR, participants receive suggestions for activities to be performed at home or in the workplace on a regular daily basis, aiming for 15 to 20 minutes of practice, on average, and up to 45 minutes if possible (for those who are more engaged and motivated). They are also encouraged to bring the experience of mindfulness into their daily lives (informal practices). The main mindfulness practices used are mindfulness of breathing, mindfulness of the body (body scan), mindful walking and mindful movements (in which gentle physical movements are used), which can be practised by people with different levels of physical capacity. In addition to the MBSR protocol, the MBHP introduces a few dynamic activities to gain better insight into the concepts developed in the psychoeducational part of the programme, such as the “first and second suffering” and “hi-thanks-goodbye” practices; the practice of kind awareness (addressing equanimity and interpersonal aspects, based on Buddhist practices of compassion and self-compassion); and the 3-minute breathing space practice of mindfulness (from the mindfulness-based cognitive therapy protocol) [55]. The two last practices are adapted from the Breathworks Institute protocol [56].


Inspired by the MBSR programme and eating-related research, MB-EAT was initially developed for individuals with compulsive eating problems and obesity [57]. The programme includes the four main techniques of meditation mentioned in the MBHP programme. In addition, mindfulness is applied to various aspects of the participants’ eating behaviour and to their experience of inner wisdom and outer wisdom. Every session also includes mindfulness practices for the cultivation of a greater awareness of hunger, fullness, taste awareness with different foods, and triggers for overeating. Overall, a greater sense of self-awareness and self-acceptance regarding eating and weight is cultivated. The specific elements of each session in both programmes are described in Table 2.

Table 2 Content and formal practices of each session of MBHP and MB-EAT

Both the MBHP and MB-EAT programmes also assign practices to be used at home during the week, including mindfulness-based meditation and eating-related practices for MB-EAT. Emails will be sent to participants after each session, encouraging them to engage in the practice of the week, as well as to those who fail to provide reasons for their absence from the programme. The monthly maintenance sessions offered may stimulate continued practice at home by participants in groups G2 and G3.

Analysis plan

Primary outcome measures

The primary outcome variables are those indicating improvement in eating behaviour. Self-report instruments to be used to track eating behaviour are the DEBQ and the BES, collected from T0 to T2.

Secondary outcome measures

Secondary outcome measures include greater self-knowledge, the perception of emotional triggers for overeating, increase in self-compassion resulting in higher self-care and better adherence to treatment, improvement of nutritional status (reduction of body weight by ≥ 5%) and biochemical examinations throughout the intervention, as well as maintenance of this status (without weight regain) during a 3-month follow-up period. This maintenance could lead to the prevention of multiple morbidities related to excess body weight. Levels of mindfulness, stress, anxiety (psychometric scale and serum cortisol) and self-compassion will be assessed. Body composition, basal metabolism and food intake, as well as maintenance of practices and the feasibility of the programme, will be also evaluated. Changes in lifestyles and eating patterns of participants in each group will be evaluated at the end of the programme and 3 months after the intervention.

Data handling

All study-related information will be stored in secure folders with limited access. Paper-based data collection forms will contain only participant numbers to maintain confidentiality and will be stored in a locked cabinet in an area with limited access. Electronic data files will be password-protected (RedCap). The list linking participant numbers and personal information will be stored in a separate password-protected file. Paper-based data entry will be double-checked. Data will be stored for 5 years after the end of inclusion. The study has low negligibility risks; therefore, no data monitoring committee will be assigned. Only the first author and lead researchers, or persons assigned by them, will have access to the final dataset. Authors of the final trial report will make substantial contributions to the design, conduct, interpretation and reporting of the trial. Study results will be presented via publications and presentations; study participants, funders and involved clinicians will receive a summary of the study results.

Data analysis

The qualitative variables will be described as numbers and percentages, and quantitative data will be summarised as mean values with SD if the assumption of normality of data has been satisfied; otherwise, the median and 25% and 75% percentiles will be used. The three conditions for the treatment will be compared with baseline measures to evaluate the success of randomisation. In this case, the chi-square test or Fisher’s exact test for qualitative variables will be used, and one-way ANOVA or the Kruskal-Wallis test will be applied for quantitative variables.

Longitudinal data (T0, T1 and T2) will be collected for each group, which means that they will not be independent; therefore, repeated-measures ANOVA will be used. When assessing the effectiveness of the TAU programme, repeated-measures ANOVA will be used to assess the main effects of time and treatment, and the interaction between them. The analysis will be performed with the complete sample, and we plan to perform analyses in subgroups stratified by BMI. The models will be adjusted for possible confounding variables, such as age, BMI and other relevant covariates. Differences will be identified by using test linear hypotheses after ANOVA, and multiple testing will be adjusted by the Bonferroni correction.

The data will be evaluated for the intention-to-treat analysis; that is, the analysis will include all participants after randomisation. For the per-protocol analysis, women in the intervention groups who do not participate in at least four sessions will be excluded. For the attrition analysis, we will compare women who complete the protocol with women who answered only the baseline questionnaire.

All data analysis will be performed with STATA version 14.2 software (StataCorp, College Station, TX, USA) [58]. p Values < 0.05 will be considered statistically significant. No datasets were generated or analysed during the present study.

Qualitative assessment

At the end of each protocol/intervention, focus groups consisting of a minimum of 4 and a maximum of 15 volunteer participants will be conducted and incorporated into the programmed sessions (G2 and G3). The focus groups will be fully recorded in digital audio, with participant observation of a team member. The focus group will be held through structured interviews to investigate whether the programme made a difference in the participants’ health and nutritional status. Qualitative data will be analysed on the basis of focus group. Verbatim reporting will identify emerging themes from the qualitative content analysis [59]. We expect this analysis to identify the reasons for adherence/non-adherence to the mindfulness and TAU programmes and the health effects of the programmes.


Most people do not want to go on a diet, because they usually have an emotional relationship with food. This gives mindful eating an advantage because it is a non-diet approach, which is less unnerving for patients, and more realistic, doable and durable by enhancing self-acceptance and acceptance of the body, without an attachment to the number of calories in each food. Several studies and meta-analysis reviews [17, 60,61,62,63,64] indicate that mindful eating can be an important tool in weight loss and maintenance, without the need to count calories, which is usually recommended by the Academy of Nutrition and Dietetics.

MB-EAT was adapted from MBSR and specifically developed for compulsive eating disorders and related problems [57]. The main objective of the MB-EAT is to control the balance between physiological and non-nutritional factors that influence eating behaviour, helping individuals to cultivate a greater awareness of hunger and satiety as well as awareness of arising emotional states and external triggers (see Table 2).

The programme emphasises the pleasure and affection related to food while encouraging healthy standards when choosing food, in relation to both the quantity and the quality of food ingested. MB-EAT is an effective way to internalise and maintain behaviour changes. This programme emphasises the importance of mindfulness meditation in cultivating the ability to focus one’s attention [65].

People are more convinced by the information they discover on their own than by what is brought to them by others; it is already known that manipulating the cognitive field alone is not enough to change eating behaviours or habits. More serious than the maintenance of obesity is the “yo-yo pattern” promoted by a low adherence to dietary treatments, resulting in constant weight regain, which aggravates metabolic problems and poses a great challenge to health professionals. This therefore requires new intervention strategies and research.

Weight maintenance is also associated with factors such as the manifestation of intrinsic motivation, such as greater self-confidence regarding weight loss, better strategies of reaction and the ability to cope with stress (decentring, metacognition), feelings of self-efficacy, autonomy, healthy narcissism and greater stability and psychological strength [66, 67]. Mindfulness is able to act positively in this direction, and both the MBIs, which present reduction in weight gain, hunger and emotional eating [61], as well as MB-EAT, which seems to be effective in the United States and Europe for stress [68, 69], anxiety reduction [70, 71] and body weight issues [72,73,74,75], must have their findings replicated.

Research into mindful eating is more recent than research into the mindfulness stress reduction programmes. There is a very limited number of clinical trials, which are predominantly based on psychometric scales, often with few samples. Reviews concerning mindful eating have used different protocols, with a waiting list as a control, and an active control used only a few times. Follow-up is even rarer, and in most cases it does not reach 6 months.

Few studies have provided significant data on at-home mindfulness practice (quantity and quality) in MBIs, particularly in mindful eating programmes. Studies of this nature are generally scarce, and they are non-existent in Brazil. Further research with more objective measures, aside from the psychometric scales, should be carried out to clarify the mechanisms involved in these benefits [62, 63] and to identify the most effective protocol for this population.

The present study, which uses psychometric, anthropometric and biochemical parameters, as well as dietary intake, will not be limited to a quantitative approach and could address the gaps left by psychometric scales. This information is as yet unpublished in Brazil and, as far as we know, is not published in any international literature either. This mixed-methods (quantitative and qualitative) study could point to more objective forms of effective intervention, contributing to cost reduction and therefore to more sustainable weight loss, with less weight regain, and consequently to a reduction in excess weight-related co-morbidities that burden the health care system.

The feasibility assessment for the implementation of the mindfulness programme provided for in this study is one of the steps for the medium- and long-term implementation of this intervention in PC. PC is the main gateway for patients in a health system, and with the inclusion of meditation in the national policy of integral and complementary practices in 2017 by the Brazilian Ministry of Health, it is believed that more resources will be dedicated to the sector, thus allowing professionals to qualify as teachers. In addition, different types of professional training have been offered for a period of 2 years in the most varied protocols, which would allow the inclusion of more people interested in working with mindfulness. The adherence of the participants to the programme, the acceptance of the professionals and cost-effectiveness measures are future steps that should be contemplated for implementation to become reality [18].

This study presents certain limitations, which are as follows. São Paulo is a large metropolis, with an extensive surface area. Covering one BHU per week, even restricted to the Southern region, will require a great deal of travel mileage. Added to this will be the characteristic transit problems inherent in a large city, which requires 1.5–2 hours to arrive at each BHU. Further studies should be carried out covering BHUs in other regions, with both sexes and including the elderly population, in order to ensure greater representativeness and generalisability. This is a very deprived population living in peripheral areas with scarce financial resources and low schooling, which adds more difficulty to the understanding and completion of questionnaires, possibly leading to errors. Although in this study we will evaluate the same health region, with the same guidelines applied, there is heterogeneity of treatment between BHUs.

Trial status

At the time of initial manuscript submission, recruitment was already in progress (starting March 2018) but was not yet complete (prospectively expecting completion in May 2019). This study protocol reports protocol version 1 (dated 26 Nov 2017).



Analysis of variance


Brain-derived neurotrophic factor


Binge Eating Scale


Basic health unit


Body mass index


Brief Physical Activity Assessment Tool


Consolidated Standards of Reporting Trials


Dutch Eating Behaviour Questionnaire


Eating Attitude Test


Food Frequency Questionnaire


Family Health Strategy


Hospital Anxiety and Depression Scale


Haemoglobin A1c


Mindful Attention Awareness Scale


Mindfulness-based eating awareness training


Mindfulness-Based Health Promotion


Mindfulness-based intervention


Mindfulness-based stress reduction


Noncommunicable chronic disease


Primary care


Primary health care


Self-Compassion Scale


Standard Protocol Items: Recommendations for Interventional Trials


Sistema Único de Saúde


Treatment as usual


Ultra-sensitive C-reactive protein

VCO2 :

Volume of carbon dioxide produced

VO2 :

Volume of oxygen consumed


  1. 1.

    Básica BM da SS de A à SD de A. Estratégias para o cuidado da pessoa com doença crônica: obesidade. 2014.

    Google Scholar 

  2. 2.

    FAO/OPS. 2016 América latina y el caribe: panorama de la seguridad alimentaria y nutricional. Santiago, Chile: Organización de las Naciones Unidas para la Alimentación y la Agricultura y la Organización Panamericana de la Salud; 2017. Accessed 2 July 2017.

  3. 3.

    IBGE. Instituto Brasileiro de Geografia e Estatística, Coordenação de Trabalho e Rendimento. Pesquisa de Orçamentos Familiares: 2008–2009. Análise do Consumo Alimentar Pessoal no Brasil. 2011.

    Google Scholar 

  4. 4.

    de Oliveira DC, de Sá CP, Gomes AMT, de Souza Ramos R, Pereira NA, Rocha dos Santos WC. Brazilian National Health Policy: health professionals’ social representations [in Portuguese]. Cad Saude Publica. 2008;24:197–206.

    Article  Google Scholar 

  5. 5.

    Brasil Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Cadernos de Atenção Básica no 12. Obesidade. 2006.

    Google Scholar 

  6. 6.

    Berg R. Uma análise freudiana da obesidade; 2008. p. 136.

    Google Scholar 

  7. 7.

    Rogers JM, Ferrari M, Mosely K, Lang CP, Brennan L. Mindfulness-based interventions for adults who are overweight or obese: a meta-analysis of physical and psychological health outcomes. Obes Rev. 2017;18:51–67.

    Article  PubMed  Google Scholar 

  8. 8.

    Sedlmeier P, Eberth J, Schwarz M, Zimmermann D, Haarig F, Jaeger S, et al. The psychological effects of meditation: a meta-analysis. Psychol Bull. 2012;138:1139–71.

    Article  PubMed  Google Scholar 

  9. 9.

    Keng SL, Smoski MJ, Robins CJ. Effects of mindfulness on psychological health: a review of empirical studies. Clin Psychol Rev. 2011;31:1041–56.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Brown KW, Ryan RM. The benefits of being present: mindfulness and its role in psychological well-being. J Pers Soc Psychol. 2003;84:822–48.

    Article  PubMed  Google Scholar 

  11. 11.

    Camilleri GM, Méjean C, Bellisle F, Hercberg S, Péneau S. Association between mindfulness and weight status in a general population from the NutriNet-Santé study. PLoS One. 2015;10:e0127447.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. 12.

    O’Reilly G, Cook L, Spruijt-Metz D, Black DS. Mindfulness-based interventions for obesity-related eating behaviors: a literature review. Obes Rev. 2014;15:453–61.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Carlson LE. Mindfulness-based interventions for physical conditions: a narrative review evaluating levels of evidence. ISRN Psychiatry. 2012;2012:651583.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Kaliman P, Álvarez-López MJ, Cosín-Tomás M, Rosenkranz MA, Lutz A, Davidson RJ. Rapid changes in histone deacetylases and inflammatory gene expression in expert meditators. Psychoneuroendocrinology. 2014;40:96–107.

    Article  PubMed  CAS  Google Scholar 

  15. 15.

    Kristeller JL, Hallett CB. An exploratory study of a meditation-based intervention for binge eating disorder. J Health Psychol. 1999;4:357–63.

    Article  PubMed  CAS  Google Scholar 

  16. 16.

    Kristeller J, Wolever RQ, Sheets V. Mindfulness-Based Eating Awareness Training (MB-EAT) for binge eating: a randomized clinical trial. Mindfulness (N Y). 2014;5:282–97.

    Article  Google Scholar 

  17. 17.

    Godfrey KM, Gallo LC, Afari N. Mindfulness-based interventions for binge eating: a systematic review and meta-analysis. J Behav Med. 2015;38:348–62.

    Article  PubMed  Google Scholar 

  18. 18.

    Daubenmier J, Kristeller J, Hecht FM, Maninger N, Kuwata M, Jhaveri K, et al. Mindfulness intervention for stress eating to reduce cortisol and abdominal fat among overweight and obese women: an exploratory randomized controlled study. J Obes. 2011;2011:651936.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Mason AE, Epel ES, Kristeller J, Moran PJ, Dallman M, Lustig RH, et al. Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: data from the SHINE randomized controlled trial. J Behav Med. 2016;39:201–13.

    Article  PubMed  Google Scholar 

  20. 20.

    Moher D, Hopewell S, Schulz KF, Montori V, Gøtzsche PC, Devereaux PJ, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Int J Surg. 2012;10:28–55.

    Article  PubMed  Google Scholar 

  21. 21.

    Zwarentein M, Treweek S, Gagnier JJ, Altman DG, Tunis S, Haynes B, et al. Improving the reporting of pragmatic trials: an extension of the CONSORT statement [in Chinese]. Zhong Xi Yi Jie He Xue Bao. 2009;7:392–7.

    Google Scholar 

  22. 22.

    Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.

    Article  PubMed  Google Scholar 

  23. 23.

    J P, C T, C A, Bahia L MJ. The Brazilian health system: history, advances, and challenges. Lancet. 2011;377:1778–97.

    Article  Google Scholar 

  24. 24.

    Pinto AGA, Jorge MSB, Vasconcelos MGF, Sampaio JJC, Lima GP, Bastos VC, et al. Matrixing support as an instrument of primary healthcare in mental health: multiple views and devices for resolution. Cien Saude Colet. 2012;17:653–60.

    Article  PubMed  Google Scholar 

  25. 25.

    Bighetti F. Translation and validation of the Eating Attitudes Test (EAT-26) in female adolescents in Ribeirão Preto city – SP [in Portuguese]. Master’s thesis, Nursing School of Ribeirão Preto, Universidade de São Paulo, Brasil.

  26. 26.

    Wardle J. Eating style: a validation-study of the Dutch Eating Behaviour Questionnaire in normal subjects and women with eating disorders. J Psychosom Res. 1987;31:161–9.

    Article  PubMed  CAS  Google Scholar 

  27. 27.

    Estilos de comer DEBQ Almeida 2001.

  28. 28.

    Gormally J, Black S, Daston S, Rardin D. The assessment of binge eating severity among obese persons. Addict Behav. 1982;7:47–55.

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Freitas S, Lopes CS, Coutinho W, Appolinario JC. Translation and adaptation into Portuguese of the Binge-Eating Scale [in Portuguese]. Rev Bras Psiquiatr. 2001;23:215–20.

    Article  Google Scholar 

  30. 30.

    de de Barros VV, Kozasa EH, Weiss de Souza IC, Ronzani TM. Validity evidence of the Brazilian version of the Mindful Attention Awareness Scale (MAAS). Psicol Reflex Crit. 2015;28:87–95.

    Article  Google Scholar 

  31. 31.

    Neff K. Self-compassion: an alternative conceptualization of a healthy attitude toward oneself. Self Identity. 2003;2:85–101.

    Article  Google Scholar 

  32. 32.

    de Souza LK, Hutz CS. Adaptation of the Self-Compassion Scale for use in Brazil: evidence of construct validity. Temas Psicol. 2016;24:159–72.

    Article  Google Scholar 

  33. 33.

    Germer CK. The mindful path to self-compassion: freeing yourself from destructive thoughts and emotions. New York: Guilford Press; 2009.

    Google Scholar 

  34. 34.

    Raes F, Pommier E, Neff KD, Van Gucht D. Construction and factorial validation of a short form of the Self-Compassion Scale. Clin Psychol Psychother. 2011;18:250–5.

    Article  PubMed  Google Scholar 

  35. 35.

    Neff KD, Kirkpatrick KL, Rude SS. Self-compassion and adaptive psychological functioning. J Res Pers. 2007;41:139–54.

    Article  Google Scholar 

  36. 36.

    Snaith RP, Zigmond AS. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67:361–70.

    Article  PubMed  Google Scholar 

  37. 37.

    Marcolino JÁM, Mathias LADST, Piccinini Filho L, Guaratini ÁA, Suzuki FM, Alli LAC. Escala hospitalar de ansiedade e depressão: estudo da validade de critério e da confiabilidade com pacientes no pré-operatório. Rev Bras Anestesiol. 2007;57:52–62.

    Article  PubMed  Google Scholar 

  38. 38.

    Puig Ribera A, Peña Chimenis Ò, Romaguera Bosch M, Duran Bellido E, Heras Tebar A, Solà Gonfaus M, et al. Cómo identificar la inactividad física en atención primaria: validación de las versiones Catalana y Española de 2 cuestionarios breves. Aten Primaria. 2012;44:485–93.

    Article  PubMed  Google Scholar 

  39. 39.

    Puig-Ribera A, Martín-Cantera C, Puigdomenech E, Real J, Romaguera M, Magdalena-Belio JF, et al. Screening physical activity in family practice: validity of the Spanish version of a brief physical activity questionnaire. PLoS One. 2015;10:e0136870.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. 40.

    Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12:38–48.

    Article  PubMed  CAS  Google Scholar 

  41. 41.

    de Menezes MC, Mingoti SA, Cardoso CS, de Deus Mendonça R, ACS L. Intervention based on Transtheoretical Model promotes anthropometric and nutritional improvements — a randomized controlled trial. Eat Behav. 2015;17:37–44.

    Article  Google Scholar 

  42. 42.

    Chang CT. Applicability of the stages of change and Weight Efficacy Lifestyle Questionnaire with natives of Sarawak, Malaysia. Rural Remote Health. 2007;7:864.

    PubMed  CAS  Article  Google Scholar 

  43. 43.

    Hawkins DS, Hornsby PP, Schorling JB. Stages of change and weight loss among rural African American women. Obes Res. 2001;9:59–67.

    Article  PubMed  CAS  Google Scholar 

  44. 44.

    de Salvo VLMA, SGA G. Reproducibility and validity of a food frequency questionnaire [in Portuguese]. Rev Saude Publica. 2002;36:505–12.

    Article  PubMed  Google Scholar 

  45. 45.

    World Health Organization (WHO). Obesity: preventing and managing the global epidemic: report of a WHO consultation (WHO Technical Report Series 894). Geneva: WHO; 2000.

    Google Scholar 

  46. 46.

    Faria SL, Faria OP, Cardeal MDA, Ito MK. Validation study of multi-frequency bioelectrical impedance with dual-energy X-ray absorptiometry among obese patients. Obes Surg. 2014;24:1476–80.

    Article  PubMed  Google Scholar 

  47. 47.

    Rodrigues AE, Marostegan PF, Mancini MC, Dalcanale L, de Melo ME, Cercato C, et al. Analysis of resting metabolic rate evaluated by indirect calorimetry in obese women with low and high caloric intake [in Portuguese]. Arq Bras Endocrinol Metabol. 2008;52:76–84.

    Article  PubMed  Google Scholar 

  48. 48.

    de Melo CM, Tirapegui J, Ribeiro SML. Human energetic expenditure: concepts, assessment methods and relationship to obesity [in Portuguese]. Arq Bras Endocrinol Metabol. 2008;52:452–64.

    Article  Google Scholar 

  49. 49.

    São Paulo (cidade). Secretaria da Saúde. Programas E Políticas De Saúde Secretaria Municipal Da Saúde. Cad Coleta Exames Lab I Bras; 2006. p. 1–120.

    Google Scholar 

  50. 50.

    Tang YY, Hölzel BK, Posner MI. The neuroscience of mindfulness meditation. Nat Rev Neurosci. 2015;16:213–25.

    Article  PubMed  CAS  Google Scholar 

  51. 51.

    Demarzo MMP, Cebolla A, Garcia-Campayo J. The implementation of mindfulness in healthcare systems: a theoretical analysis. Gen Hosp Psychiatry. 2015;37:166–71.

    Article  PubMed  CAS  Google Scholar 

  52. 52.

    Kabat-Zinn J. Mindfulness-based stress reduction (MBSR). Constr Hum Sci. 2003;8:73–107.

    Google Scholar 

  53. 53.

    Kabat-Zinn J. An outpatient program in behavioral medicine for chronic pain patients based on the practice of mindfulness meditation: theoretical considerations and preliminary results. Gen Hosp Psychiatry. 1982;4:33–47.

    Article  PubMed  CAS  Google Scholar 

  54. 54.

    Demarzo M, Garcia-Campayo J. Manual prático de mindfulness: curiosidade e aceitação. São Paulo: Palas Athena; 2015.

    Google Scholar 

  55. 55.

    Kuyken W, Warren FC, Taylor RS, Whalley B, Crane C, Bondolfi G, et al. Efficacy of mindfulness-based cognitive therapy in prevention of depressive relapse: an individual patient data meta-analysis from randomized trials. JAMA Psychiatry. 2016;73:565–74.

    Article  PubMed  Google Scholar 

  56. 56.

    Cusens B, Duggan GB, Thorne K, Burch V. Evaluation of the Breathworks Mindfulness-based pain management programme: effects on well-being and multiple measures of mindfulness. Clin Psychol Psychother. 2010;17:63–78.

    PubMed  Google Scholar 

  57. 57.

    Kristeller JL, Wolever RQ. Mindfulness-based eating awareness training for treating binge eating disorder: the conceptual foundation. Eat Disord. 2011;19:49–61.

    Article  PubMed  Google Scholar 

  58. 58.

    StataCorp. Stata 14 Base Reference Manual. College Station: Stata Press; 2015.

  59. 59.

    Kerrigan D, Johnson K, Stewart M, Magyari T, Hutton N, Ellen JM, et al. Perceptions, experiences, and shifts in perspective occurring among urban youth participating in a mindfulness-based stress reduction program. Complement Ther Clin Pract. 2011;17:96–101.

    Article  PubMed  Google Scholar 

  60. 60.

    Nakamura E. The ethnographic method in health research: an anthropological reflection. Saude Soc. 2011;20:95–103.

    Article  Google Scholar 

  61. 61.

    Mantzios M, Wilson JC. Mindfulness, eating behaviours, and obesity: a review and reflection on current findings. Curr Obes Rep. 2015;4:141–6.

    Article  PubMed  Google Scholar 

  62. 62.

    Olson KL, Emery CF. Mindfulness and weight loss: a systematic review. Psychosom Med. 2015;77:59–67.

    Article  PubMed  Google Scholar 

  63. 63.

    Katterman SN, Kleinman BM, Hood MM, Nackers LM, Corsica JA. Mindfulness meditation as an intervention for binge eating, emotional eating, and weight loss: a systematic review. Eat Behav. 2014;15:197–204.

    Article  PubMed  Google Scholar 

  64. 64.

    Carrière K, Khoury B, Günak MM, Knäuper B. Mindfulness-based interventions for weight loss: a systematic review and meta-analysis. Obes Rev. 2018;19:164–77.

    Article  PubMed  Google Scholar 

  65. 65.

    Kristeller J. Mindfulness, wisdom and eating: applying a multi-domain model of meditation effects. Constr Hum Sci. 2003;8:1–15.

    Google Scholar 

  66. 66.

    Black DS, Semple RJ, Pokhrel P, Grenard JL. Component processes of executive function—mindfulness, self-control, and working memory—and their relationships with mental and behavioral health. Mindfulness (N Y). 2011;2:179–85.

    Article  Google Scholar 

  67. 67.

    Hill CLM, JA U. Mindfulness and its relationship to emotional regulation. Emotion. 2012;12:81–90.

    Article  PubMed  Google Scholar 

  68. 68.

    Chiesa A, Malinowski P. Mindfulness-based approaches: are they all the same? J Clin Psychol. 2011;67:404–24.

    Article  PubMed  Google Scholar 

  69. 69.

    Goyal M, Singh S, Sibinga EMS, Gould NF, Rowland-Seymour A, Sharma R, et al. Meditation programs for psychological stress and well-being. JAMA Intern Med. 2014;174:357–68.

    Article  PubMed  PubMed Central  Google Scholar 

  70. 70.

    Green SM, Bieling PJ. Expanding the scope of mindfulness-based cognitive therapy: evidence for effectiveness in a heterogeneous psychiatric sample. Cogn Behav Pract. 2012;19:174–80.

    Article  Google Scholar 

  71. 71.

    Hofmann S, Sawyer A, Witt A, Oh D. The effect of mindfulness-based therapy on anxiety and depression: a meta-analytic review. J Consult Clin Psychol. 2010;78:169–83.

    Article  PubMed  PubMed Central  Google Scholar 

  72. 72.

    Alberts HJEM, Mulkens S, Smeets M, Thewissen R. Coping with food cravings. Investigating the potential of a mindfulness-based intervention. Appetite. 2010;55:160–3.

    Article  PubMed  Google Scholar 

  73. 73.

    Caldwell K, Baime M, Wolever R. Mindfulness based approaches to obesity and weight loss maintenance. J Ment Health Couns. 2012;34:269–82.

    Article  Google Scholar 

  74. 74.

    Niemeier HM, Leahey T, Palm Reed K, Brown RA, Wing RR. An acceptance-based behavioral intervention for weight loss: a pilot study. Behav Ther. 2012;43:427–35.

    Article  PubMed  Google Scholar 

  75. 75.

    Forman EM, Butryn ML, Juarascio AS, Bradley LE, Lowe MR, Herbert JD, et al. The Mind Your Health project: a randomized controlled trial of an innovative behavioral treatment for obesity. Obesity (Silver Spring). 2013;21:1119–26. A published erratum appears in Obesity (Silver Spring). 2014;22(3):971

    Article  CAS  Google Scholar 

Download references


The authors thank the São Paulo Municipal Health Department for their collaboration and for conducting biochemical examinations, the National Post-Doctoral Programme for Coordination for the Improvement of Higher Education Personnel Foundation (CAPES) for providing a study grant to the first author, and The Brazilian Centre of Mindfulness and Health Promotion (Mente Aberta Centre) for subsidising the materials needed for this research (photocopy, electrodes for bioimpedance).


Biochemistry examinations will be conducted by the São Paulo Municipal Health Department (in BHUs) and the remainder will be performed using own resources. The Brazilian Centre of Mindfulness and Health Promotion (Mente Aberta Centre) for subsidising the materials needed for this research (photocopy, electrodes for bioimpedance).

Availability of data and materials

Data sharing is not applicable to this article, because no datasets were generated or analysed during the present study.

Author information




VS and MD designed this study, and will coordinate the data collection, interventions and enrolment of participants. VS drafted the manuscript, which was added to and modified by SGAG, HM, JGC, MCS, VD and JK. AS, JMM and BHL will contribute to the power analysis and statistical analysis plan. All other authors reviewed and edited the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Vera Salvo or Marcelo Demarzo.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the ethics committee of the Universidade Federal de São Paulo (CAAE; protocol 55970016.9.0000.5505). Informed consent will be obtained from all participants.

Consent for publication

Consent will be obtained from all participants.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Additional file

Additional file 1:

SPIRIT checklist. (DOC 137 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Salvo, V., Kristeller, J., Montero Marin, J. et al. Mindfulness as a complementary intervention in the treatment of overweight and obesity in primary health care: study protocol for a randomised controlled trial. Trials 19, 277 (2018).

Download citation


  • Mindfulness-Based Eating Awareness Training (MB-EAT)
  • Obesity
  • Randomised controlled trial
  • Primary health care
  • Nutritional status