Dieting Increases the Likelihood of Subsequent Obesity and BMI Gain: Results from a Prospective Study of an Australian National Sample
Diet is a major determinant of obesity; however, findings from the studies examining how dieting to lose weight affects weight gain have been inconclusive.
Our aim was to examine the longitudinal association of frequency of dieting for weight loss with (a) obesity status and (b) body mass index (BMI) change.
We used data from Waves 9 (2009) and 10 (2010) of the Household Income and Labour Dynamics in Australia (HILDA) survey. Binominal logistic regression estimated the association of frequency of dieting in 2009 on probability of obesity in 2010. Multinomial logistic regression estimated the association of frequency of dieting in 2009 on the probability of BMI gain versus BMI maintenance and BMI loss between 2009 and 2010. The analysis sample size was 8824.
Compared to those who were never on a diet in the previous year, the odds of obesity were 1.9, 2.9, and 3.2 times higher among those who were on a diet once, more than once, and always, respectively. Similarly, the odds of BMI gain versus BMI maintenance and also versus BMI loss were higher among those who dieted than those who did not.
Dieting to lose weight can contribute to the risk of future obesity and weight gain. Losing weight requires a commitment to change one’s lifestyle and a sustained effort to maintain a healthy diet and engage in physical activity.
KeywordsDieting Obesity Weight gain Body mass index Weight loss Weight change
- 7.French. Predictors of weight change over two years among a population of working adults: the Healthy Worker Project. J Obes. 1994;18(3):145.Google Scholar
- 14.Summerfield M, Dunn R, Freidin S, Hahn M, Ittak P, Kecmanovic M, et al. HILDA User Manual–Release 10. Melbourne Institute of Applied Economic and Social Research, University of Melbourne 2011.Google Scholar
- 17.Ware JE, Kosinski M, Dewey JE, Gandek B. SF-36 health survey: manual and interpretation guide. : Quality Metric Inc.; 2000.Google Scholar
- 18.Ware JE, Kosinski M, Keller SD. SF-36 physical & mental health summary scales: a user's manual. Boston: The Health Institute; 1994.Google Scholar
- 19.McHorney CA, Ware Jr JE. Construction and validation of an alternate form general mental health scale for the Medical Outcomes Study Short-Form 36-Item Health Survey. Med Care 1995:15–28.Google Scholar
- 22.McHorney CA, War Jr JE, Lu JR, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care 1994:40–66.Google Scholar
- 23.McHorney CA, Ware Jr JE, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 1993:247–263.Google Scholar
- 24.Ware JE, Kosinski M, Keller SD. SF-12: How to score the SF-12 physical and mental health summary scales. : Health Institute, New England Medical Center; 1995.Google Scholar
- 25.Ware JE, Snow KK, Kosisnki M, Gandek B. SF-36 health survey manual and interpretation guide. Boston: The Health Institute; 1993.Google Scholar
- 27.Wooden M. Use of the Kessler psychological distress scale in the HILDA survey. 2009.Google Scholar
- 28.Brown H, Roberts J. Exercising choice: the economic determinants of physical activity behaviour 2010.Google Scholar
- 29.Wilkins R. Derived income variables in the HILDA survey data: the HILDA survey ‘income model’. 2014.Google Scholar
- 30.Watson N. Income and wealth imputation for waves 1 and 2. 2004.Google Scholar
- 31.Summerfield M, Freidin S, Hahn M, Ittak P, Li N, Macalalad N, et al. HILDA user manual–release 12. 2013.Google Scholar
- 32.Mejer L, Siermann C. Income poverty in the European Union: children, gender and poverty gaps. Statistics in Focus: Eurostat; 2000.Google Scholar
- 33.Stata C. Stata Statistical Software: release 12, Special Edition. 2011.Google Scholar
- 38.Neumark-Sztainer. Why does dieting predict weight gain in adolescents? Findings from project EAT-II: a 5-year longitudinal study. Journal of the American Dietetic Association ( Now : Journal of the Academy of Nutrition and Dietetics ) 2007;107(3; 3):448.Google Scholar
- 40.National Heart. Lung, and Blood Institute. Aim for a healthy weight. Bethesda: National Institutes of Health; 2005.Google Scholar