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Electroacupuncture for insomnia disorder: study protocol for a randomized controlled trial

Abstract

Background

Insomnia is a common sleep disorder that affects many adults either transiently or chronically. The societal cost of insomnia is on the rise, while long-term use of current drug treatments can involve adverse effects. Recently, electroacupuncture (EA) has been used to treat various conditions including insomnia. The objective of this study is to provide scientific evidence for the effect and safety of using EA to treat insomnia.

Methods/design

In this multicentre, assessor-blind, three-arm, parallel-design, randomised controlled trial, 150 participants will be assigned to the EA group, the sham EA (SEA) group, or the usual care group. The EA and SEA groups will receive the specific treatments 2–3 times a week for 4 weeks, for a total of 10 sessions, whereas the usual care group will not receive EA and will continue with usual care during the same time period. The primary outcome measure will be changes in the Insomnia Severity Index 5 weeks after randomisation. The secondary outcomes will include the Pittsburgh Sleep Quality Index, the Hospital Anxiety and Depression Scale, a sleep diary, the EuroQoL-5 dimension questionnaire, the levels of melatonin and cortisol, and the Patient Global Impression of Change. Safety will be assessed at each visit.

Discussion

The results of this multicentre randomised controlled trial will contribute to provide rigorous clinical evidence for the effects and safety of EA for insomnia disorder.

Trial registration

Korean Clinical Trial Registry, CRIS, KCT0001685. Registered on 2 November 2015 (retrospectively registered). Date of enrolment of the first participant to the trial 13 October 2015.

Peer Review reports

Background

Insomnia is one of the most common sleep disorders and is defined as a condition in which the patient experiences sleep disturbances accompanied by daytime symptoms or is unable to sleep despite having adequate circumstances and opportunities for sleep [1]. Approximately 40% of adults have experienced some form of insomnia, with chronic insomnia affecting approximately 10–15% of those individuals [2]. According to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5), the diagnostic criteria for insomnia includes difficulty initiating and maintaining sleep, early awakening, and having sleep difficulties at least three times a week and lasting at least 3 months [3]. Furthermore, insomnia refers to a sleep disorder that is not caused by medications, pain, a physical disease, depressive disorder, or other psychiatric illnesses. Insomnia includes not only an inability to fall asleep at night but also an impairment of daytime activities and functioning (i.e. fatigue, nervousness, and a reduction in motivation or energy) with poor concentration, headache, and diminished quality of life [4].

The economic costs associated with insomnia are significant. In the USA, approximately 30–35 billion dollars are spent each year on insomnia, with more than $1253 being spent by the average adult directly and indirectly to manage the condition [5]. Furthermore, given that insomnia is closely linked to depression, anxiety disorders, alcohol or drug abuse/dependence, and suicide, it requires continuous management and treatment beginning in its early stages [6].

Currently, insomnia is most often treated with pharmacological therapy, such as benzodiazepines, and cognitive behavioural therapy. However, while drug treatment can be effective for the short-term management of insomnia, there is little evidence whether efficacy is maintained in the long term, and adverse effects, including feelings of weakness during the daytime, mental slowing, dizziness, sensitivity to light, decreased exercise capacity, and dependency, have been linked to long-term use of these pharmacological agents [7, 8]. Moreover, although randomised controlled trials have reported the efficacy of cognitive behavioural therapy, few therapists are well-trained in this technique for it to be widely used, and there are no clear standardized guidelines about the optimal number and duration of treatments for insomnia [1]. Consequently, treatments for insomnia based on complementary and alternative medicine have received increasing attention.

Acupuncture is now in widespread use, and has been applied for the treatment of various sleep disorders. Recently, several published clinical studies and systematic reviews have shown its use to treat insomnia [9]. According to a systematic review by Yeung et al. [10], 20 randomised clinical trials concluded that acupuncture is more effective than benzodiazepines for the treatment of insomnia; however, these studies have several limitations, including the eligibility criteria used, randomisation, blinding, and small sample sizes. Although several studies have also demonstrated that acupuncture and electroacupuncture (EA) can be effective for treating insomnia [11, 12], poor methodological quality in these studies resulted in a low level of evidence [13]. There have been few multicentre reports on the use of EA for insomnia, and large-scale studies on the efficacy and safety of acupuncture and EA to treat insomnia are necessary. Therefore, the present study aims to provide objective evidence of the effect and safety of EA for insomnia.

Methods/design

Study design and setting

We designed a multicentre, randomised, assessor-blind, controlled, parallel-group study to compare the effect and safety of EA, sham electroacupuncture (SEA), and usual care in subjects with insomnia. The participants will be recruited using regional newspapers, flyers, advertisement boards, etc. Potential candidates for the study will be screened and fully informed about the study. Eligible participants will be randomly assigned to three groups and receive treatment for 4 weeks with 2 months of follow-up. The study flow chart is shown in Fig. 1. The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) checklist and figure are given in Additional file 1 and Fig. 2, respectively.

Fig. 1
figure 1

Study flow chart

Fig. 2
figure 2

The SPIRIT figure. The schedule of enrolment, interventions, and assessments. EA electroacupuncture, EQ-5D EuroQoL five dimension questionnaire, HADS Hospital Anxiety and Depression Scale, ISI Insomnia Severity Index, PGIC Patient Global Impression of Change, PSQI Pittsburgh Sleep Quality Index

An independent researcher that is blinded to the group allocation will perform the outcome assessment and statistical analysis.

Study population

Inclusion criteria

Candidates who meet the following criteria will be included:

  1. 1)

    age 19–64 years;

  2. 2)

    an Insomnia Severity Index (ISI) score ≥15 points;

  3. 3)

    fulfilment of the DSM-5 diagnostic criteria for insomnia disorder; and

  4. 4)

    willingness to sign an informed consent.

Exclusion criteria

Individuals meeting any of the following criteria will be excluded:

  1. 1)

    a diagnosis of major depressive disorder, anxiety disorder, panic disorder, or other psychiatric disorders; caffeine, alcohol, or drug addiction; or a Hospital Anxiety and Depression Scale (HADS) score ≥11 points;

  2. 2)

    working shifts or changes in day/night work schedule that could impact circadian rhythm;

  3. 3)

    suffering from pain severe enough to cause sleep disturbance or presence of any disease that could cause insomnia;

  4. 4)

    having undergone any therapy or taken any medication as required in the previous 2 weeks, or a change in the type or dosage of a regularly taken medication in the previous 4 weeks to alleviate insomnia;

  5. 5)

    taking medication for a cardiovascular or haemostatic disorder;

  6. 6)

    a diagnosed unregulated hormone disorder, serious or systemic disease (e.g. hyperthyroidism, chronic liver disease or chronic kidney disease) that could affect sleep;

  7. 7)

    a previous hypersensitivity reaction to acupuncture or difficulty co-operating with acupuncture therapy;

  8. 8)

    the presence of implants that could interfere with EA or a history of hypersensitivity to electrostimulation;

  9. 9)

    pregnancy, lactation, or planning a pregnancy; and

  10. 10)

    difficulty complying with the treatment, questionnaire, or study protocol

Randomisation, allocation concealment, and blinding

Subjects who meet the eligibility criteria will be randomly allocated to one of three groups in a 1:1:1 ratio through stratified block randomisation based on whether medications are taken to treat insomnia and the institutions conducting the trial. An independent statistician (OJK) will use SAS® version 9.4 software (SAS Institute Inc., Cary, NC, USA) to generate random assignment tables. The randomisation list will be sealed in sequentially numbered opaque envelopes and delivered to each institution, where they will be stored in a double-locked cabinet. Only the practitioners will be aware of the group allocation of each patient. After random assignment, the envelope will again be stored separately in a double-locked cabinet. Allocation concealment will not be broken until the trial is complete. Since it would be impossible to blind the practitioners, they will not be involved in the assessment. The outcome assessors and data analysts will be blinded to the group allocation.

Interventions

The EA group will be treated with 0.25 × 40 mm disposable sterilized filiform needles (Dong-bang Acupuncture Inc., Seoul, Korea) applied to the Baihui (GV20), Yintang (EX-HN3), bilateral Shenmen (HT7), Neiguan (PC6), Jinmen (BL63), and Dazhong (KI4) acupoints by inserting and manipulating the needle to achieve de qi (2–3 times a week for 4 weeks, for a total of 10 sessions). After de qi is achieved, an EA device (ES-160, Ito Co. Ltd., Tokyo, Japan) will be used to apply 4 Hz for 30 min at 80% intensity of the stimulation felt by the participant.

For the SEA group, a Park Sham Device (PSD; Dong-Bang AcuPrime Ltd., Exeter, UK) will be used to needle 10 specific non-acupoints on both the arms and legs during the same period using the same needling schedule as the EA group. The PSD is one of many sham acupuncture methods used in acupuncture studies [14, 15]. It has a blunt end that retracts to shorten the length of the needle and give the appearance that needling will be performed without the needle actually penetrating the skin. Electrostimulation in the SEA group will be performed using the same EA device (ES-160) that is used in the EA group. The de-activated device will be connected to the PSD and applied for 30 min, while making the same beeping sound and light indicators when operated without delivering any electrostimulation.

The EA and SEA groups will be prohibited from undergoing any additional treatments for insomnia during the study period. The planned acupuncture treatment is based on Standards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA) and Consolidated Standards of Reporting Trials (CONSORT), and detailed information is summarized in Table 1.

Table 1 Details of acupuncture treatment based on the revised STRICTA checklist

The usual care group will be allowed to undergo any treatment for insomnia except traditional medicine such as acupuncture, moxibustion, and herbal treatment. The participants will be asked to inform the research investigators of any new treatments received after entry into the trial, and all concomitant treatments will be recorded on the case report form (CRF). All three study groups will be educated using a brochure on sleep hygiene.

Sample size

The objective of this clinical trial is to conduct a comparative analysis on the effect and safety of EA for treating patients with insomnia. We used data from two previous studies [11, 12] to estimate the difference in the mean ISI values for the EA treatment and SEA control groups as 4.15, and the standard deviation as 6.0. Then the sample size was calculated using a two-sided 2.5% significance level and 80% statistical power. Moreover, the usual care group will require a smaller sample size because differences in the ISI before and after treatment are expected to be larger between the EA and usual care groups than between the EA and SEA groups; therefore, this trial will assign participants to the three groups in a 1:1:1 ratio. Each group will have a minimum of 40 participants for a total of 120 participants, which will allow for a dropout rate of 20%, thus requiring a minimum of 150 participants.

Outcome measures

Primary outcome

The primary outcome measure in this study is ISI, which is a seven-item questionnaire designed to determine the diagnosis and degree of insomnia. The reliability and validity of this questionnaire is well established [16], and the validated Korean version of the ISI will be used in this study [17]. The total score of the ISI ranges from 0 to 28 points, and the participants will be classified as follows: no clinically significant insomnia (0–7 points), subthreshold insomnia (8–14 points), clinical insomnia of moderate severity (15–21 points), and severe clinical insomnia (22–28 points) [17].

Secondary outcomes

Sleep quality will be assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The PSQI is an instrument that assesses sleep quality and disturbance within the past month by measuring seven categories: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The PSQI has been shown to be highly consistent with sleep diary and polysomnography (PSG) results in patients with primary insomnia, and is recommended as an assessment tool in patients who are suspected of having insomnia [18, 19].

Sleep diaries, which are a daily record on the patient’s sleep, are widely used to collect direct information on sleep and waking patterns in patients with insomnia [20]. In this study, the sleep diary will contain details on when the participant went to bed at night, waking time in the morning, sleep latency, the number of times and duration the participant woke during the night, whether daytime naps were taken, and whether the participant used sleeping aids.

The HADS consists of 14 items with seven odd-numbered anxiety subscales (HADS-A) and seven even-numbered depression subscales (HADS-D). This questionnaire is a validated and reliable psychological instrument that is widely used to assess changes in emotional state, such as anxiety and depression, in patients with chronic diseases. Assessment will be performed using a four-point scale (0–3 points), with higher scores indicating more severe symptoms. Zigmond and Snaith grouped each subscale as follows: non-cases (0–7 points), doubtful cases (8–10 points), and cases (11–21 points) [21]. A previous standardization study reported the sensitivity and specificity of the Korean versions of the HADS-A and HADS-D [22].

To observe physiological changes in the patient, the levels of salivary melatonin and cortisol will be assessed. Melatonin is secreted from the pineal gland and has a direct effect on sleep structure [23]. Cortisol is produced in the adrenal cortex and its secretion is regulated by the hypothalamic-pituitary-adrenal axis. Studies have shown that changes in cortisol concentrations are associated with stress and sleep [24]. Because both melatonin and cortisol concentrations can fluctuate according to a circadian rhythm, the samples will be collected and analysed after scheduling the participant visit and conducting educational sessions on the use of the saliva collection kit in advance [25].

The EuroQoL five dimension questionnaire (EQ-5D) will be used to measure health-related quality of life. This instrument is designed to have the subject check the most appropriate response to five items on health status; each checked item will have a weighted score of 1, 2, or 3, and the combination of the five numbers will represent the health status of the subject [26]. In addition, the EQ-5D and ISI will be used to estimate the parameters needed for economic evaluation. The Patient Global Impression of Change (PGIC) will be used to assess the participant’s subjective perception of overall improvement after treatment.

The time points for each assessment and the procedures are summarized in Table 2.

Table 2 Schedule for treatment and outcome assessment

Statistical analysis

The primary outcome measure in this study is the mean change in the ISI from baseline to week 5. A two-sided test with a significance level of 0.025 will be performed using an analysis of covariance with baseline as the covariate and the treatment group as the fixed factors. The intra-group ISI changes from baseline to post-treatment will be analysed using Student’s paired t test or Wilcoxon signed-rank test, and reported with a 95% confidence interval. In addition, we will use a repeated-measures analysis of variance to identify any trend changes. Dunnett’s test will be used for inter-group comparisons to compensate for multiple comparisons.

The methods used to analyse the secondary outcome measures, i.e. ISI at weeks 3, 9, and 13, PSQI, HADS, EQ-5D, PGIC, changes in sleep diary entries, and changes in melatonin and cortisol levels, will be the same as those used for the primary assessment analyses. The chi-square test or Fisher’s exact test will be used for categorical data. Analyses will be conducted on an intent-to-treat basis, and multiple imputations will be applied if there are missing values.

Data handling and safety monitoring

All data will be collected in compliance with the approved protocol and will be recorded on a CRF. All adverse events that are not necessarily related to the treatment will be observed and reported by the participants and researchers at each visit. In the event of serious adverse reactions, detailed reports will be drafted and assessments will be made based on the protocol. Blood tests, including complete blood count, differential count, and renal and liver function tests, will also be performed at the screening visit and after the end of treatment. Data and safety monitoring will be conducted at all sites periodically during the study.

Discussion

This study is a multicentre randomised controlled clinical trial with an appropriate sample size on the effect and safety of EA for treating patients with insomnia disorder according to the criteria of the DSM-5.

The differentiation of primary and secondary insomnia which existed in the previous sleep disorder diagnosis systems was excluded in the DSM-5 diagnostic system [27]. There is currently no conclusive causal relationship or direction between sleeplessness and other co-existing medical or psychiatric illnesses [27]. Insomnia does not simply mean experiencing difficulty sleeping during the night, and it has a considerable negative impact on various aspects including daytime functioning, emotion, quality of life, and socio-economic burden. Therefore, it is important to make a comprehensive assessment of all these domains in clinical trials that evaluate the therapeutic effect on insomnia [28].

In the present study, ISI and PSQI will be used to assess the insomnia symptom severity, the chief complaints of insomnia patients. The ISI was selected as the primary outcome to assess the effects of EA on insomnia because it can directly assess the severity of insomnia, disruption to quality of life, and interference with daytime activities over the past 2 weeks. A sleep diary will be evaluated as a sleep/wake parameter in addition to the questionnaires. The HADS will be used to assess the psychological symptoms such as anxiety and depression, which are commonly associated with insomnia patients. The PGIC will be used as a global assessment outcome measurement. Quality of life will be evaluated using the EQ-5D. Moreover, there are several reports indicating patients with sleep disorders use more health care resources [29, 30]. As a result, an additional economic evaluation will be conducted to investigate the cost-effectiveness of electroacupuncture treatment for insomnia disorder.

EA has been used in various clinical conditions, including insomnia and psychiatric disorders. However, the mechanisms underlying the effect of EA have not yet been elucidated. A study by Tang et al. reported that low-frequency EA is an effective treatment for post-stroke insomnia and can regulate the level of neurotransmitters, including 5-hydroxytryptamine and norepinephrine in patients with post-stroke insomnia [31]. Additionally, insomnia has been shown to be related to changes in melatonin and cortisol levels, and several previous studies reported the efficacy and safety of using melatonin to treat insomnia [3234]. Melatonin is a hormone secreted from the pineal gland in the brain and is important for regulating the sleep/wake circadian rhythm. In general, melatonin is secreted at high levels immediately before sleep and during the night, but its serum concentration decreases during the daytime and activity. Nordio et al. assessed the 24-h urinary melatonin metabolite rhythm and suggested that acupressure at the H7 acupoint may involve regulation of melatonin [35]. Spence et al. also reported that acupuncture increased the nocturnal endogenous secretion of melatonin and improved polysomnographic measures [36]. Cortisol is closely associated with the stress response and can cause insomnia when produced in excessive amounts [24]. Previous studies using animal models have reported that GV20, EX-HN3, and HT7 needling or EA stimulation can suppress the secretion of cortisol [37, 38]. In the present study, the levels of melatonin and cortisol will be analysed before and after treatment to explore the physiological mechanism of EA in the treatment of insomnia.

There are limitations to this study. First, we will perform sham electroacupuncture using a sham EA device and PSD as a control intervention in the SEA group. However, the currently developed sham acupuncture interventions are not completely inert physiologically, and previous studies reported that sham acupuncture interventions not only have some physiological activity, but could also be associated with larger effects than pharmacological and other physical placebos [3941]. Placebo effects are very commonly observed and should be controlled appropriately in sleep disorder clinical trials [42]. Therefore, we will apply the non-penetrating placebo device at non-acupoints to minimize this bias, and we will also include a usual care group as a control. Second, although PSG is generally considered the gold standard in sleep studies, it is not always included in actual clinical trials due to its costs, burden on patients, and research conditions. In the present multicentre trial, PSG is not feasible and various outcome measures including a sleep diary, ISI, PSQI, HADS, melatonin and cortisol will be assessed. We will evaluate objective sleep parameters such as PSG or actigraphy in future studies. In spite of its limitations, the results of this multicentre randomised controlled trial may provide rigorous evidence for a multi-faceted evaluation of the effect and safety of EA for treating insomnia.

Trial status

This clinical trial received Institutional Review Board approval and is currently recruiting participants.

Abbreviations

CONSORT:

Consolidated Standards of Reporting Trials

CRF:

Case report form

DSM-5:

Diagnostic and Statistical Manual of Mental Disorders, fifth edition

EA:

Electroacupuncture

EQ-5D:

EuroQoL five dimension questionnaire

HADS:

Hospital Anxiety and Depression Scale

ISI:

Insomnia Severity Index

PGIC:

Patient Global Impression of Change

PSG:

Polysomnography

PSQI:

Pittsburgh Sleep Quality Index

SEA:

Sham electroacupuncture

STRICTA:

Standards for Reporting Interventions in Clinical Trials of Acupuncture

References

  1. NIH State-of-the-Science Conference Statement on Manifestations and Management of ChronicInsomnia in Adults. NIH Consens Sci Statements. 2005;22(2):1–30. PMID: 17308547.

  2. Doghramji K. The epidemiology and diagnosis of insomnia. Am J Manag Care. 2006;12(8 Suppl):S214–20.

    PubMed  Google Scholar 

  3. AP Association. Diagnostic and Statistical Manual of Mental Disorders Fifth Edition in Korean. Arlington: American Psychiatric Association; 2015.

    Google Scholar 

  4. Cao H, Pan X, Li H, Liu J. Acupuncture for treatment of insomnia: a systematic review of randomized controlled trials. J Altern Complement Med (New York, NY). 2009;15(11):1171–86.

    Article  Google Scholar 

  5. Ozminkowski RJ, Wang S, Walsh JK. The direct and indirect costs of untreated insomnia in adults in the United States. Sleep. 2007;30(3):263–73.

    PubMed  Google Scholar 

  6. Taylor DJ, Mallory LJ, Lichstein KL, Durrence HH, Riedel BW, Bush AJ. Comorbidity of chronic insomnia with medical problems. Sleep. 2007;30(2):213–8.

    PubMed  Google Scholar 

  7. Buscemi N, Vandermeer B, Friesen C, Bialy L, Tubman M, Ospina M, et al. The efficacy and safety of drug treatments for chronic insomnia in adults: a meta-analysis of RCTs. J Gen Intern Med. 2007;22(9):1335–50.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Soldatos CR, Dikeos DG, Whitehead A. Tolerance and rebound insomnia with rapidly eliminated hypnotics: a meta-analysis of sleep laboratory studies. Int Clin Psychopharmacol. 1999;14(5):287–303.

    Article  CAS  PubMed  Google Scholar 

  9. Ernst E, Lee MS, Choi TY. Acupuncture for insomnia? An overview of systematic reviews. Eur J Gen Pract. 2011;17(2):116–23.

    Article  PubMed  Google Scholar 

  10. Yeung WF, Chung KF, Leung YK, Zhang SP, Law AC. Traditional needle acupuncture treatment for insomnia: a systematic review of randomized controlled trials. Sleep Med. 2009;10(7):694–704.

    Article  PubMed  Google Scholar 

  11. Yeung WF, Chung KF, Tso KC, Zhang SP, Zhang ZJ, Ho LM. Electroacupuncture for residual insomnia associated with major depressive disorder: a randomized controlled trial. Sleep. 2011;34(6):807–15.

    PubMed  PubMed Central  Google Scholar 

  12. Yeung WF, Chung KF, Zhang SP, Yap TG, Law AC. Electroacupuncture for primary insomnia: a randomized controlled trial. Sleep. 2009;32(8):1039–47.

    PubMed  PubMed Central  Google Scholar 

  13. Zhao K. Acupuncture for the treatment of insomnia. Int Rev Neurobiol. 2013;111:217–34.

    Article  PubMed  Google Scholar 

  14. Park J, White A, Stevinson C, Ernst E, James M. Validating a new non-penetrating sham acupuncture device: two randomised controlled trials. Acupunct Med. 2002;20(4):168–74.

    Article  PubMed  Google Scholar 

  15. Xl G, Pan Z, Shen Y, Wang S. Blinding effect of non-penetrating sham needle in the randomized controlled trials of acupuncture: a systematic review. J Acupunct Tuina Sci. 2014;12(1):8–11.

    Article  Google Scholar 

  16. Bastien CH, Vallieres A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2(4):297–307.

    Article  PubMed  Google Scholar 

  17. Cho YW, Song ML, Morin CM. Validation of a Korean version of the insomnia severity index. J Clin Neurol. 2014;10(3):210–5.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    Article  CAS  PubMed  Google Scholar 

  19. Sohn SI, Kim do H, Lee MY, Cho YW. The reliability and validity of the Korean version of the Pittsburgh Sleep Quality Index. Sleep Breath. 2012;16(3):803–12.

    Article  PubMed  Google Scholar 

  20. Cho YW. Sleep scale and sleep hygiene. J Korean Sleep Res Soc. 2004;1(1):12–23.

    Article  Google Scholar 

  21. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  22. Oh SM, Min KJ, Park DB. A study on the standardization of the hospital anxiety and depression scale for Koreans: a comparison of normal, depressed and anxious groups. J Korean Neuropsychiatr Assoc. 1999;38(2):289–96.

    Google Scholar 

  23. Lemoine P, Garfinkel D, Laudon M, Nir T, Zisapel N. Prolonged-release melatonin for insomnia—an open-label long-term study of efficacy, safety, and withdrawal. Ther Clin Risk Manag. 2011;7:301–11.

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Han KS, Kim L, Shim I. Stress and sleep disorder. Exp Neurobiol. 2012;21(4):141–50.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Terzieva DD, Mateva ND, Vladimirova-Kitova LG. Melatonin reference limits at 3:00 AM and 8:00 AM in healthy adults. Clin Lab. 2009;55(9–10):359–61.

    CAS  PubMed  Google Scholar 

  26. Cho YS, Kim MH, Uhm WS, Kim S, Oh SI, Bae SC. Cross-cultural adaptation and validation of the Korean version of the EQ-5D in patients with rheumatic diseases. J Korean Rheum Assoc. 2005;12(3):173–88.

    Google Scholar 

  27. Winkelman JW. Clinical practice. Insomnia disorder. N Engl J Med. 2015;373(15):1437–44.

    Article  CAS  PubMed  Google Scholar 

  28. Morin CM. Measuring outcomes in randomized clinical trials of insomnia treatments. Sleep Med Rev. 2003;7(3):263–79.

    Article  PubMed  Google Scholar 

  29. Kapur VK, Redline S, Nieto FJ, Young TB, Newman AB, Henderson JA. The relationship between chronically disrupted sleep and healthcare use. Sleep. 2002;25(3):289–96.

    PubMed  Google Scholar 

  30. Sivertsen B, Krokstad S, Mykletun A, Overland S. Insomnia symptoms and use of health care services and medications: the HUNT-2 study. Behav Sleep Med. 2009;7(4):210–22.

    Article  PubMed  Google Scholar 

  31. Tang L, Ma C, You F, Ding L. Impacts of the low-frequency electric stimulation at the acupoints on the content of plasma 5-HT and NE in the patients with post-stroke insomnia. Zhongguo Zhen Jiu. 2015;35(8):763–7.

    PubMed  Google Scholar 

  32. Hardeland R. New approaches in the management of insomnia: weighing the advantages of prolonged-release melatonin and synthetic melatoninergic agonists. Neuropsychiatr Dis Treat. 2009;5:341–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Cummings C. Melatonin for the management of sleep disorders in children and adolescents. Paediatr Child Health. 2012;17(6):331–6.

    PubMed  PubMed Central  Google Scholar 

  34. Roth T, Seiden D, Sainati S, Wang-Weigand S, Zhang J, Zee P. Effects of ramelteon on patient-reported sleep latency in older adults with chronic insomnia. Sleep Med. 2006;7(4):312–8.

    Article  PubMed  Google Scholar 

  35. Nordio M, Romanelli F. Efficacy of wrists overnight compression (HT 7 point) on insomniacs: possible role of melatonin? Minerva Med. 2008;99(6):539–47.

    CAS  PubMed  Google Scholar 

  36. Spence DW, Kayumov L, Chen A, Lowe A, Jain U, Katzman MA, et al. Acupuncture increases nocturnal melatonin secretion and reduces insomnia and anxiety: a preliminary report. J Neuropsychiatry Clin Neurosci. 2004;16(1):19–28.

    Article  CAS  PubMed  Google Scholar 

  37. Park HJ, Park HJ, Chae Y, Kim JW, Lee H, Chung JH. Effect of acupuncture on hypothalamic-pituitary-adrenal system in maternal separation rats. Cell Mol Neurobiol. 2011;31(8):1123–7.

    Article  PubMed  Google Scholar 

  38. You W, Shi YJ, Han YJ, Jia BH, Tu Y. Effect of electroacupuncture of “Baihui” (GV 20)-“Yintang” (EX-HN 3) on the expression of glucocorticoid and glucocorticoid receptor mRNA of the chronic stress model rats. Zhen Ci Yan Jiu. 2010;35(4):261–6.

    CAS  PubMed  Google Scholar 

  39. Linde K, Niemann K, Meissner K. Are sham acupuncture interventions more effective than (other) placebos? A re-analysis of data from the Cochrane review on placebo effects. Forsch Komplementmed. 2010;17(5):259–64.

    Article  PubMed  Google Scholar 

  40. Carneiro M, Kawakita K. Re-analysis of acupuncture trials with sham interventions based on data from the Cochrane Review. Japanese Acupunct Moxibustion. 2015;11(1):1–11.

    Google Scholar 

  41. Stephen B. Sham acupuncture is not a placebo treatment—implications and problems in research. Japanese Acupunct Moxibustion. 2012;8(1):4–8.

    Google Scholar 

  42. Perlis ML, McCall WV, Jungquist CR, Pigeon WR, Matteson SE. Placebo effects in primary insomnia. Sleep Med Rev. 2005;9(5):381–9.

    Article  PubMed  Google Scholar 

  43. Korean Acupuncture and Moxibustion Medicine Society Textbook Compilation Committee. The Acupuncture and Moxibustion Medicine. Paju: Jipmoondang; 2012.

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Acknowledgements

The authors thank all of the collaborators and participants of the study.

Funding

This study is financially supported by funds from the Korea Institute of Oriental Medicine (K15122 and K16122).

Availability of data and materials

Not applicable.

Authors’ contributions

JHK and SPK designed the study and drafted this manuscript. BKK, HJK, ICJ, JHC, and JHK are directors of the recruitment sites, provided clinical expertise, and drafted the study protocol. MKK and JEK participated in the critical revision of the manuscript. OJK conducted the statistical design of the trial. ARK, HJP, and BNS provided methodological support and participated in assessing the outcomes. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study will be conducted at four clinical research centres and has already received approval from the Institutional Review Board (IRBs) at each of the participating institutions: Daejeon Korean Medicine Hospital of Daejeon University (djomc-128), Dunsan Korean Medicine Hospital of Daejeon University (DJDSKH-15-06-1), Dongeui University Korean Medical Hospital (2015-03), and Semyung University Oriental Medicine Hospital (2015-08-02). Written informed consent forms will be obtained from all participants. This trial is registered with the ‘Clinical Research Information Service’ of the Republic of Korea (CRIS- KCT0001685).

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Correspondence to Joo-Hee Kim.

Additional file

Additional file 1:

SPIRIT checklist. (DOC 121 kb)

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Kim, SP., Kim, JH., Kim, BK. et al. Electroacupuncture for insomnia disorder: study protocol for a randomized controlled trial. Trials 18, 177 (2017). https://doi.org/10.1186/s13063-017-1922-7

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