Hawthorne effect with transient behavioral and biochemical changes in a randomized controlled sleep extension trial of chronically short-sleeping obese adults: implications for the design and interpretation of clinical studies

Giovanni Cizza, Paolo Piaggi, Kristina I Rother, Gyorgy Csako, Sleep Extension Study Group, Giovanni Cizza, Paolo Piaggi, Kristina I Rother, Gyorgy Csako, Sleep Extension Study Group

Abstract

Objective: To evaluate the effects of study participation per se at the beginning of a sleep extension trial between screening, randomization, and the run-in visit.

Design: Subjects were screened, returned for randomization (Comparison vs. Intervention) after 81 days (median), and attended run-in visit 121 days later.

Setting: Outpatient.

Patients: Obese (N = 125; M/F, 30/95; Blacks/Whites/Other, N = 73/44/8), mean weight 107.6±19.7 kg, <6.5 h sleep/night.

Intervention: Non-pharmacological sleep extension.

Measurements: Sleep duration (diaries and actigraphy watch), sleep quality (Pittsburgh Sleep Quality Index), daily sleepiness (Epworth Sleepiness Scale), fasting glucose, insulin and lipids.

Results: Prior to any intervention, marked improvements occurred between screening and randomization. Sleep duration increased (diaries: 357.4 ±51.2 vs. 388.1±48.6 min/night; mean±SD; P<0.001 screening vs. randomization; actigraphy: 344.3 ±41.9 vs. 358.6±48.2 min/night; P<0.001) sleep quality improved (9.1±3.2 vs. 8.2±3.0 PSQI score; P<0.001), sleepiness tended to improve (8.9±4.6 vs. 8.3±4.5 ESS score; P = 0.06), insulin resistance decreased (0.327±0.038 vs. 0.351±0.045; Quicki index; P<0.001), and lipids improved, except for HDL-C. Abnormal fasting glucose (25% vs. 11%; P = 0.007), and metabolic syndrome (42% vs. 29%; P = 0.007) both decreased. In absence of intervention, the earlier metabolic improvements disappeared at the run-in visit.

Limitations: Relatively small sample size.

Conclusions: Improvements in biochemical and behavioral parameters between screening and randomization changed the "true" study baseline, thereby potentially affecting outcome. While regression to the mean and placebo effect were considered, these findings are most consistent with the "Hawthorne effect", according to which behavior measured in the setting of an experimental study changes in response to the attention received from study investigators. This is the first time that biochemical changes were documented with respect to the Hawthorne effect. The findings have implications for the design and conduct of clinical research.

Trial registration: ClinicalTrials.gov NCT00261898.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Study flow diagram.
Figure 1. Study flow diagram.
Figure 2. Percent changes from screening in…
Figure 2. Percent changes from screening in weight and waist circumference (WC), and in systolic and diastolic blood pressure (upper four panels, A–D), and the changes in sleep duration by diaries and by actigraphy watch (AW), and the changes in PSQI, and Epworth scores (lower four panels, E–H).
Error bars represent 1 SEM. Significant changes from screening: *P

Figure 3. Percent changes from screening in…

Figure 3. Percent changes from screening in glucose parameters and in the prevalence of metabolic…

Figure 3. Percent changes from screening in glucose parameters and in the prevalence of metabolic syndrome (upper four panels, A–D) and the changes in lipid levels (lower four panels, E–H).
Error bars represent 1 SEM. Significant changes from screening: *P
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References
    1. Hasler G, Buysse DJ, Klaghofer R, Gamma A, Ajdacic V, et al. (2004) The association between short sleep duration and obesity in young adults: a 13-year prospective study. Sleep 27: 661–6. - PubMed
    1. McAllister EJ, Dhurandhar NV, Keith SW, Aronne LJ, Barger J, et al. (2009) Ten putative contributors to the obesity epidemic. Crit Rev Food Sci Nutr 49: 868–913. - PMC - PubMed
    1. Roenneberg T, Allebrandt KV, Merrow M, Vetter C (2012) Social jetlag and obesity. Curr Biol 22: 939–43. - PubMed
    1. Cappuccio FP, Taggart FM, Kandala NB, Currie A, Peile E, et al. (2008) Meta-analysis of short sleep duration and obesity in children and adults. Sleep 31: 619–26. - PMC - PubMed
    1. Cizza G, Skarulis M, Mignot E (2005) A link between short sleep and obesity: building the evidence for causation. Sleep 28: 1217–20. - PubMed
Show all 32 references
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Figure 3. Percent changes from screening in…
Figure 3. Percent changes from screening in glucose parameters and in the prevalence of metabolic syndrome (upper four panels, A–D) and the changes in lipid levels (lower four panels, E–H).
Error bars represent 1 SEM. Significant changes from screening: *P

References

    1. Hasler G, Buysse DJ, Klaghofer R, Gamma A, Ajdacic V, et al. (2004) The association between short sleep duration and obesity in young adults: a 13-year prospective study. Sleep 27: 661–6.
    1. McAllister EJ, Dhurandhar NV, Keith SW, Aronne LJ, Barger J, et al. (2009) Ten putative contributors to the obesity epidemic. Crit Rev Food Sci Nutr 49: 868–913.
    1. Roenneberg T, Allebrandt KV, Merrow M, Vetter C (2012) Social jetlag and obesity. Curr Biol 22: 939–43.
    1. Cappuccio FP, Taggart FM, Kandala NB, Currie A, Peile E, et al. (2008) Meta-analysis of short sleep duration and obesity in children and adults. Sleep 31: 619–26.
    1. Cizza G, Skarulis M, Mignot E (2005) A link between short sleep and obesity: building the evidence for causation. Sleep 28: 1217–20.
    1. Ford ES, Li C, Wheaton AG, Chapman DP, Perry GS, et al. (2014) Sleep duration and body mass index and waist circumference among U.S. adults. Obesity (Silver Spring) 22: 598–607.
    1. Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD (2010) Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med 53: 435–41.
    1. Chaput JP, Bouchard C, Tremblay A (2014) Change in sleep duration and visceral fat accumulation over 6 years in adults. Obesity (Silver Spring) 5: E9–E12.
    1. Owens B (2013) Obesity: heavy sleepers. Nature 497: S8–9.
    1. Toor P, Kim K, Buffington CK (2012) Sleep quality and duration before and after bariatric surgery. Obes Surg 22: 890–5.
    1. Thomson CA, Morrow KL, Flatt SW, Wertheim BC, Perfect MM, et al. (2012) Relationship between sleep quality and quantity and weight loss in women participating in a weight-loss intervention trial. Obesity (Silver Spring) 20: 1419–25.
    1. Chaput JP, Tremblay A (2012) Sleeping habits predict the magnitude of fat loss in adults exposed to moderate caloric restriction. Obes Facts 5: 561–6.
    1. Cizza G, Marincola P, Mattingly M, Williams L, Mitler M, et al. (2010) Treatment of obesity with extension of sleep duration: a randomized, prospective, controlled trial. Clin Trials 3: 274–85.
    1. de Jonge L, Zhao X, Mattingly MS, Zuber SM, Piaggi P, et al. (2012) Poor sleep quality and sleep apnea are associated with higher resting energy expenditure in obese individuals with short sleep duration. J Clin Endocrinol Metab 97: 2881–9.
    1. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, et al. (2009) International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120: 1640–1645.
    1. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28: 193–213.
    1. Johns MW (1991) A new method for measuring daytime sleepiness: The Epworth Sleepiness Scale. Sleep 14: 540–545.
    1. Roth T, Hull SG, Lankford DA, Rosenberg R, Scharf MB (2008) Intermezzo Study Group. Low-dose sublingual zolpidem tartrate is associated with dose-related improvement in sleep onset and duration in insomnia characterized by middle-of-the-night (MOTN) awakenings. Sleep 31: 1277–84.
    1. Ricós C, Alvarez V, Cava F, García-Lario JV, Hernández A, et al. (1999) Current databases on biological variation: pros, cons and progress. Scand J Clin Lab Invest 59: 491–500.
    1. Hanlon EC, Van Cauter E (2011) Quantification of sleep behavior and of its impact on the cross-talk between the brain and peripheral metabolism. Proc Natl Acad Sci U S A 108 Suppl 3: 15609–16.
    1. Yamaoka K, Tango T (2012) Effects of lifestyle modification on metabolic syndrome: a systematic review and meta-analysis. BMC Med 10: 138.
    1. Kaneita Y, Uchiyama M, Yoshiike N, Ohida T (2008) Associations of usual sleep duration with serum lipid and lipoprotein levels. Sleep 31: 645–52.
    1. Parsons HM (1974) What Happened at Hawthorne? New evidence suggests the Hawthorne effect resulted from operant reinforcement contingencies. Science 183: 922–32.
    1. Schwartz D, Fischhoff B, Krishnamurti T, Sowell F (2013) The Hawthorne effect and energy awareness. Proc Natl Acad Sci U S A 110: 15242–6.
    1. De Amici D, Klersy C, Ramajoli F, Brustia L, Politi P (2000) Impact of the Hawthorne effect in a longitudinal clinical study: the case of anesthesia. Contr Clin Trials 2: 103–14.
    1. Guerrero DM, Carling PC, Jury LA, Ponnada S, Nerandzic MM, et al. (2013) Beyond the Hawthorne effect: reduction of Clostridium difficile environmental contamination through active intervention to improve cleaning practices. Infect Control Hosp Epidemiol 34: 524–6.
    1. Irvine J, Baker B, Smith J, Jandciu S, Paquette M, et al. (1999) Poor adherence to placebo or amiodarone therapy predicts mortality: results from the CAMIAT study. Canadian Amiodarone Myocardial Infarction Arrhythmia Trial. Psychosom Med 61: 566–75.
    1. McCambridge J, Kypri K, Elbourne D (2014) Research participation effects: a skeleton in the methodological cupboard. J Clin Epidemiol Apr 21.
    1. McCambridge J, Witton J, Elbourne DR (2014) Systematic review of the Hawthorne effect: new concepts are needed to study research participation effects. J Clin Epidemiol 3: 267–77.
    1. Bouchet C, Guillemin F, Briançon S (1996) Nonspecific effects in longitudinal studies: impact on quality of life measures. J Clin Epidemiol 49: 15–20.
    1. Quitkin FM, McGrath PJ, Stewart JW, Ocepek-Welikson K, Taylor BP, et al. (1998) Placebo run-in period in studies of depressive disorders. Clinical, heuristic and research implications. Br J Psychiatry 173: 242–8.
    1. Carlino E, Pollo A, Benedetti F (2012) The placebo in practice: how to use it in clinical routine. Curr Opin Support Palliat Care 6: 220–5.

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