Abstract
OBJECTIVE: To examine the associations between three psychological eating behaviour variables—restraint, hunger and disinhibition—and body weight and size, and to assess their explanatory power for the employment grade gradients in body measurement.
DESIGN: Cross-sectional analysis of self-report and clinical data.
SUBJECTS: In all, 1470 women (aged 45–68 y, mean 56.3, s.d. 6.0 y), body mass index (BMI) 26.3 (4.8) kg/m2 at phase 5 (1997–98) of the Whitehall II study.
MEASUREMENTS: Employment grade was measured in six bands ranging from clerical (lowest) to administrative (highest). Five measures of body size were examined: BMI, weight in kilograms, waist and hip measurement in centimetres and waist-hip ratio. The eating behaviour variables were measured using Stunkard and Messick's (1985) Three-Factor Eating Questionnaire (TFEQ).
RESULTS: Disinhibition and hunger scores were strongly and directly associated with all measures of body weight and size. Restraint score was not directly associated with body size and weight. An interaction between restraint and disinhibition scores was found. The low-restraint–high-disinhibition group (based on median score splits) were the heaviest (BMI 28.5 kg/m2) and largest (waist 85.8 cm), while the low-restraint–low-disinhibition group were the lightest (BMI 24.2 kg/m2) and smallest (waist 76.3 cm). Employment grade gradients in body weight and size remained largely unchanged after adjustment for dietary restraint. Moderate attenuations were found for disinhibition scores (3.6–15.0%) and hunger (4.8–19.9%) on the five body-size measures.
CONCLUSION: Among middle-aged women high scores on hunger and disinhibition, as measured by the TFEQ, are associated with greater body size. Restraint relates to body size through its interaction with disinhibition. Individuals with high disinhibition and any level of restraint are heavier and larger than those with low levels of disinhibition. High disinhibition coupled with low levels of restraint is associated with the greatest weight and size. Hunger and disinhibition explain a moderate amount of the gradient in body size across employment grade and may be useful concepts for future work on the socio-economic gradient in obesity and overweight.
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References
Marmot MG, Shipley MJ, Rose G . Inequalities in death—specific explanations of a general pattern? Lancet 1984; i: 1003–1006.
Marmot MG, Davey Smith G, Stansfeld S et al. Health inequalities among British civil servants: the Whitehall II study. Lancet 1991; 337: 1387–1393.
Acheson ED . Report of the independent inquiry into inequalities in health. The Stationery Office: London; 1998.
Brunner EJ, Marmot MG, Nachanal K, Shipley MJ, Stansfeld SA, Juneja M, Alberti KGM . Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study. Diabetologia 1997; 40: 1341–1349.
Erens B, Primatesta P (eds.) 1998 Health survey for England. The Stationery Office: London; 1998.
Sobel J, Stunkard AJ . Socioeconomic status and obesity: a review of the literature. Psychol Bull 1989; 105: 260–275.
Wardle J, Griffith J . Socioeconomic status and weight control practices in British adults. J Epidemiol Community Health 2001; 55: 185–190.
Herman CP, Mack D . Restrained and unrestrained eating. J Pers 1975; 43: 646–660.
Herman CP, Polivy JA . A boundary model for the regulation of eating. In: Stunkard AJ, Stellar E (eds). Eating and its disorders. Raven Press: New York; 1984. pp 141–156.
Polivy J, Herman CP . Dieting and bingeing: a causal analysis. Am Psychol 1985; 40: 193–201.
Thompson JP, Palmer RL, Petersen SA . Is there a metabolic component to counter-regulation? Int J Eat Disord 1988; 7: 307–319.
Laessle RG, Tuschl RJ, Kotthaus BC, Pirke KM . Behavioural and biological correlates of dietary restraint in normal life. Appetite 1989; 12: 83–94.
Tuschl RJ, Laesssle RG, Platte P, Pirke KM . Differences in food choice frequencies between restrained and unrestrained eaters. Appetite 1990; 14: 9–13.
Cools J, Schotte DE, McNally RJ . Emotional arousal and overeating in restrained eaters. J Abnorm Psychol 1992; 101: 348–351.
Grunberg NE, Straub RO . The role of gender and taste class in the effects of stress on eating. Health Psychol 1992; 11: 97–100.
Wardle J, Steptoe A, Oliver G, Lipsey Z . Stress, dietary restraint and food intake. J Psychosom Res 2000; 48: 195–202.
Brunner EJ, Shipley MJ, Blane D, Davey Smith G, Marmot MG . When does cardiovascular risk start? Past and present socio-economic circumstances and risk factors in adulthood. J Epidemiol Community Health 1999; 53: 757–764.
Martikainen PT, Marmot MG . Socioeconomic differences in weight gain and determinants and consequences of coronary risk factors. Am J Clin Nutr 1999; 69: 719–772.
Stunkard AJ, Messick SM . The three factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 1985; 29: 71–83.
Westenhoefer J . Dietary restraint and disinhibition: is restraint a homogenous construct? Appetite 1991; 16: 45–55.
Smith CF, Williamson DA, Bray GA, Ryan DH . Flexible vs. rigid dieting strategies: relationship with adverse behavioural outcomes. Appetite 1999; 32: 295–305.
Westenhoefer J, Stunkard AJ, Pudel V . Validation of the flexible and rigid control dimensions of dietary restraint. Int J Eat Disord 1999; 26: 53–64.
Kristensen ST . Social and cultural perspectives on hunger, appetite and satiety. Eur J Clin Nutr 2000; 54 (6): 473–478.
Pasman WJ, Saris WH, Westerterp-Plantenga MS . Predictors of weight maintenance. Obes Res 1999; 7 (1): 43–50.
Bathalon GP, Tucker KL, Hays NP, Vinken AG, Greenberg AS, McCrory MA, Roberts SB . Psychological measures of eating behaviour and the accuracy of 3 common dietary assessment measures in healthy menopausal women. Am J Clin Nutr 2000; 71 (3): 739–745.
Spencer EA, Appleby PN, Davey GK, Key TJ . Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Pub Health Nutr 2002; 5 (4): 561–565.
Paccaud F, Weitlisbach V, Rickenbach M . Body mass index: comparing mean values and prevalence rates from telephone and examination surveys. Rev Epidemiol Sante Publique 2001; 49 (1): 33–40.
Acknowledgements
We thank Amanda Sacker for statistical advice and Caroline Mulvihill for her assistance with the literature review. This study was supported by the Economic and Social Research Council's Health Variations programme. The Whitehall II study has been supported by grants from the Medical Research Council, British Heart Foundation, Health and Safety Executive, Department of Health, National Heart, Lung and Blood Institute (HL36310), National Institute on Aging (AG13196), Agency for Health Care Policy Research (HS06516), and the John D and Catherine T MacArthur Foundation Research Networks on Successful Midlife Development and Socio-economic Status and Health. We also thank all participating civil service departments and their welfare, personnel and establishment officers; the Occupational Health and Safety Agency; the Council of Civil Service Unions and all participating civil servants in the Whitehall study. We acknowledge the input of all past and present members of the Whitehall II study team, particularly Daryth Stallone and Michael Kimpton.
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Ethical approval for the Whitehall II study was obtained from the Royal Free and University College London Medical School Committee on the ethics of human research.
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Dykes, J., Brunner, E., Martikainen, P. et al. Socioeconomic gradient in body size and obesity among women: the role of dietary restraint, disinhibition and hunger in the Whitehall II study. Int J Obes 28, 262–268 (2004). https://doi.org/10.1038/sj.ijo.0802523
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DOI: https://doi.org/10.1038/sj.ijo.0802523
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