Abstract
Purpose
Theoretical research on the psychological underpinnings of weight management is limited. Recently, the clinical obesity maintenance model (COMM) proposed a theoretical conceptualisation of salient psychological and neuropsychological mechanisms maintaining weight management issues. The current study aimed to empirically test the COMM and elucidate the results in the context of recent empirical findings.
Methods
Participants (N = 165) were recruited from university and community settings in Australia. The sample consisted of adults with normal weight (n = 41), overweight (n = 40), and obesity (n = 84). Participants completed self-report questionnaires and a brief neuropsychological test. Structural equation modelling was used to estimate the associations between the hypothesised variables of the COMM and evaluate the model fit.
Results
Findings suggested acceptable to good model fit. Furthermore, several direct effects were found. First, cognitive flexibility directly affected eating habit strength. Second, eating habit strength directly affected eating beliefs. Third, eating beliefs directly affected emotion dysregulation. Fourth, emotion dysregulation directly affected depression and binge eating with depression partially mediating this relationship. Finally, depression directly affected binge eating.
Conclusion
This was the first study to empirically test the COMM. Overall, findings provide preliminary support for the COMM as a psychological model of weight management and highlight the underlying psychological and neuropsychological mechanisms that may contribute to weight management issues. As this study examined a simplified version of the COMM, future research should continue evaluating this model and consider incorporating these components into more holistic weight management models to improve long-term treatment outcomes.
Level of evidence
V, cross-sectional descriptive study
Similar content being viewed by others
Availability of data and material
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
National Institute for Health and Care Excellence (2014) Obesity: identification, assessment and management. London, Department of Health, NICE Clinical Guideline (CG189)
World Health Organization (2020) Overweight and obesity factsheet. https://www.who.int/news-room/factsheets/detail/obesity-and-overweight. Accessed 10 Jun 2020
Australian Institute of Health and Welfare (2019) Overweight and obesity: an interactive insight.https://www.aihw.gov.au/reports/overweight-obesity/overweight-and-obesity-an-interactive-insight. Accessed 10 Jun 2020
Hall KD, Kahan S (2018) Maintenance of lost weight and long-term management of obesity. Med Clin N Am 102:183–197. https://doi.org/10.1016/j.mcna.2017.08.012
Perri MG, Corsica JA (2004) Improving the maintenance of weight lost in behavioral treatment of obesity. In: Wadden TA, Stunkard AJ (eds) Handbook of obesity treatment, 1st edn. The Guilford Press, New York, pp 357–379
Smith E, Hay P, Campbell L, Trollor JN (2011) A review of the association between obesity and cognitive function across the lifespan: implications for novel approaches to prevention and treatment. Obes Rev 12:740–755. https://doi.org/10.1111/j.1467-789X.2011.00920.x
Favieri F, Casagrande M (2019) The executive functions in overweight and obesity: a systematic review of neuropsychological cross-sectional and longitudinal studies. Front Psychol 10:2126. https://doi.org/10.3389/fpsyg.2019.02126
Orleans CT (2000) Promoting the maintenance of health behavior change: recommendations for the next generation of research and practice. Health Psychol 19:76–83. https://doi.org/10.1037/0278-6133.19.Suppl1.76
Raman J, Smith E, Hay P (2013) The clinical obesity maintenance model: an integration of psychological constructs including disordered overeating, mood, emotional regulation, habitual cluster behaviours, health literacy and cognitive function. J Obes. https://doi.org/10.1155/2013/240128
Anderson V, Jacobs R, Anderson PJ (2008) Executive functions and the frontal lobes: a lifespan perspective, 1st edn. Psychology Press, New York
Yang Y, Shields GS, Guo C, Liu Y (2018) Executive function performance in obesity and overweight individuals: a meta-analysis and review. Neurosci Biobehav Rev 84:225–244. https://doi.org/10.1016/j.neubiorev.2017.11.020
Dajani DR, Uddin LQ (2015) Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends Neurosci 3:571–578. https://doi.org/10.1016/j.tins.2015.07.003
Wu M, Brockmeyer T, Hartmann M, Skunde M, Herzog W, Friederich HC (2014) Set-shifting ability across the spectrum of eating disorders and in overweight and obesity: a systematic review and meta-analysis. Psychol Med 44:3365–3385. https://doi.org/10.1017/S0033291714000294
Perpiñá C, Segura M, Sánchez-Reales S (2017) Cognitive flexibility and decision-making in eating disorders and obesity. Eat Weight Disord 22:435–444. https://doi.org/10.1007/s40519-016-0331-3
Cohen DA, Babey SH (2012) Contextual influences on eating behaviours: heuristic processing and dietary choices. Obes Rev 13:766–779. https://doi.org/10.1111/j.1467-789X.2012.01001.x
Dohle S, Diel K, Hofmann W (2018) Executive functions and the self-regulation of eating behavior: a review. Appetite 124:4–9. https://doi.org/10.1016/j.appet.2017.05.041
Ouellette JA, Wood W (1998) Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychol Bull 124:54–74. https://doi.org/10.1037/0033-2909.124.1.54
Gardner B (2015) A review and analysis of the use of ‘habit’ in understanding, predicting and influencing health-related behaviour. Health Psychol Rev 9:277–295. https://doi.org/10.1080/17437199.2013.876238
Poortinga W (2007) The prevalence and clustering of four major lifestyle risk factors in an English adult population. Prev Med 44:124–128. https://doi.org/10.1016/j.ypmed.2006.10.006
Kickbusch I, Pelikan JM, Apfel F, Tsouros AD (2013) The solid facts: health literacy. The World Health Organisation Regional Office for Europe, Denmark
Cheng YL, Shu JH, Hsu HC, Liang Y, Chou RH, Hsu PF et al (2018) High health literacy is associated with less obesity and lower Framingham risk score: sub-study of the VGH-HEALTHCARE trial. PLoS ONE 13:e0194813. https://doi.org/10.1371/journal.pone.0194813
Gratz KL, Roemer L (2004) Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J Psychopathol Behav Assess 26:41–54. https://doi.org/10.1023/B:JOBA.0000007455.08539.94
Whiteside U, Chen E, Neighbors C, Hunter D, Lo T, Larimer M (2007) Difficulties regulating emotions: do binge eaters have fewer strategies to modulate and tolerate negative affect? Eat Behav 8:162–169. https://doi.org/10.1016/j.eatbeh.2006.04.001
Leehr EJ, Krohmer K, Schag K, Dresler T, Zipfel S, Giel KE (2015) Emotion regulation model in binge eating disorder and obesity—a systematic review. Neurosci Biobehav Rev 49:125–134. https://doi.org/10.1016/j.neubiorev.2014.12.008
Burton AL, Abbott MJ (2019) Processes and pathways to binge eating: development of an integrated cognitive and behavioural model of binge eating. J Eat Disord 7:18. https://doi.org/10.1186/s40337-019-0248-0
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub, New York
Joormann J, Stanton CH (2016) Examining emotion regulation in depression: a review and future directions. Behav Res Ther 86:35–49. https://doi.org/10.1016/j.brat.2016.07.007
Spirou D, Raman J, Smith E (2020) Psychological outcomes following surgical and endoscopic bariatric procedures: a systematic review. Obes Rev 21:e12998. https://doi.org/10.1111/obr.12998
Chauvet-Gelinier JC, Roussot A, Cottenet J, Brindisi MC, Petit J-M, Bonin B et al (2019) Depression and obesity, data from a national administrative database study: geographic evidence for an epidemiological overlap. PLoS ONE 14:e0210507. https://doi.org/10.1371/journal.pone.0210507
Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx et al (2010) Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry 67:220–229. https://doi.org/10.1001/archgenpsychiatry.2010.2
Restivo MR, McKinnon MC, Frey BN, Hall GB, Syed W, Taylor VH (2017) The impact of obesity on neuropsychological functioning in adults with and without major depressive disorder. PLoS ONE 12:e0176898. https://doi.org/10.1371/journal.pone.0176898
Harvey PO, Le Bastard G, Pochon JB, Levy R, Allilaire JF, Dubois B et al (2004) Executive functions and updating of the contents of working memory in unipolar depression. J Psych Res 38:567–576. https://doi.org/10.1016/j.jpsychires.2004.03.003
Rock PL, Roiser JP, Riedel WJ, Blackwell AD (2014) Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med 44:2029–2040. https://doi.org/10.1017/S0033291713002535
Greeno CG, Wing RR, Shiffman S (2000) Binge antecedents in obese women with and without binge eating disorder. J Consult Clin Psychol 68:95–102. https://doi.org/10.1037/0022-006X.68.1.95
Fairburn CG (2008) Cognitive behavior therapy and eating disorders, 1st edn. The Guilford Press, New York
Berg KC, Peterson CB, Frazier P, Crow SJ (2012) Psychometric evaluation of the eating disorder examination and eating disorder examination-questionnaire: a systematic review of the literature. Int J Eat Disord 45:428–438. https://doi.org/10.1002/eat.20931
Groves SJ, Baillie AJ, Abbott MJ (2020) The development and validation of the Eating Beliefs Questionnaire: positive and negative beliefs about binge eating. (Submitted for Publication)
Burton AL, Hay P, Kleitman S, Smith E, Raman J, Swinbourne J et al (2017) Confirmatory factor analysis and examination of the psychometric properties of the eating beliefs questionnaire. BMC Psychiatry 17:237. https://doi.org/10.1186/s12888-017-1394-z
Lovibond SH, Lovibond PF (1996) Manual for the Depression Anxiety and Stress Scales, 2nd edn. Psychology Foundation, Sydney
Antony MM, Bieling PJ, Cox BJ, Enns MW, Swinson RP (1998) Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychol Assess 10:176–181. https://doi.org/10.1037/1040-3590.10.2.176
Crawford JR, Henry JD (2003) The Depression Anxiety Stress Scales (DASS): normative data and latent structure in a large non-clinical sample. Br J Clin Psychol 42:111–131. https://doi.org/10.1348/014466503321903544
Verplanken B, Orbell S (2003) Reflections on past behavior: a self-report index of habit strength. J App Soc Psychol 33:1313–1330. https://doi.org/10.1111/j.1559-1816.2003.tb01951.x
Sánchez-Cubillo I, Perianez JA, Adrover-Roig D, Rodriguez-Sanchez JM, Rios-Lago M, Tirapu J et al (2009) Construct validity of the Trail Making Test: role of task-switching, working memory, inhibition/interference control, and visuomotor abilities. J Int Neuropsychol Soc 15:438–450. https://doi.org/10.1017/S1355617709090626
Lezak MD, Howieson DB, Loring DW, Fischer JS (2004) Neuropsychological Assessment, 4th edn. Oxford University Press, Oxford
Hooper D, Coughlan J, Mullen MR (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6:53–60. https://doi.org/10.21427/D7CF7R
Kline RB (2015) Principles and practice of structural equation modeling, 4th edn. The Guilford Press, New York
Christidi F, Kararizou E, Triantafyllou N, Anagnostouli M, Zalonis I (2015) Derived Trail Making Test indices: demographics and cognitive background variables across the adult life span. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 22:667–678. https://doi.org/10.1080/13825585.2015.1027650
Lai JS, Hiles S, Bisquera A, Hure AJ, McEvoy M, Attia J (2014) A systematic review and meta-analysis of dietary patterns and depression in community-dwelling adults. Am J Clin Nutr 99:181–197. https://doi.org/10.3945/ajcn.113.069880
Li Y, Lv MR, Wei YJ, Sun L, Zhang JX, Zhang HG et al (2017) Dietary patterns and depression risk: a meta-analysis. Psychiatry Res 253:373–382. https://doi.org/10.1016/j.psychres.2017.04.020
Molendijk M, Molero P, Sánchez-Pedreño FO, Van der Does W, Martínez-González MA (2018) Diet quality and depression risk: a systematic review and dose-response meta-analysis of prospective studies. J Affect Disord 226:346–354. https://doi.org/10.1016/j.jad.2017.09.022
Evans JSB (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 59:255–278. https://doi.org/10.1146/annurev.psych.59.103006.093629
Kenny TE, Singleton C, Carter JC (2017) Testing predictions of the emotion regulation model of binge-eating disorder. Int J Eat Disord 50:1297–1305. https://doi.org/10.1002/eat.22787
Galioto R, Bond D, Gunstad J, Pera V, Rathier L, Tremont G (2016) Executive functions predict weight loss in a medically supervised weight loss programme. Obes Sci Prac 2:334–340. https://doi.org/10.1002/osp4.70
Raman J, Hay P, Tchanturia K, Smith E (2018) A randomised controlled trial of manualized cognitive remediation therapy in adult obesity. Appetite 123:269–279. https://doi.org/10.1016/j.appet.2017.12.023
Maula A, Kai J, Woolley AK, Weng S, Dhalwani N, Griffiths FE et al (2019) Educational weight loss interventions in obese and overweight adults with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials. Diabet Med 37:623–635. https://doi.org/10.1111/dme.14193
Sainsbury K, Evans EH, Pedersen S, Marques MM, Teixeira PJ, Lähteenmäki L et al (2019) Attribution of weight regain to emotional reasons amongst European adults with overweight and obesity who regained weight following a weight loss attempt. Eat Weight Disord 24:351–361. https://doi.org/10.1007/s40519-018-0487-0
Reyes Fernández B, Monge-Rojas R, Solano López AL, Cardemil E (2019) Re-evaluating the self-report habit index: the cases of physical activity and snacking habits. Psychol Health 34:1161–1178. https://doi.org/10.1080/08870446.2019.1585852
Conway JM, Lance CE (2010) What reviewers should expect from authors regarding common method bias in organizational research. J Bus Psychol 25:325–334. https://doi.org/10.1007/s10869-010-9181-6
Funding
This research is supported by an Australian Government Research Training Program Scholarship.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethics approval
This study was approved by the University of Technology Sydney Human Research Ethics Committee (ETH19-4065; ETH19-4404). All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The article is part of the Topical Collection on Psychopathological models and eating and weight disorders.
Rights and permissions
About this article
Cite this article
Spirou, D., Smith, E., Wood, K. et al. The clinical obesity maintenance model: a structural equation model. Eat Weight Disord 26, 1927–1937 (2021). https://doi.org/10.1007/s40519-020-01034-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40519-020-01034-y