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THE RELATIONSHIP BETWEEN WEIGHT LOSS AND TIME AND RISK PREFERENCE PARAMETERS: A RANDOMIZED CONTROLLED TRIAL

Published online by Cambridge University Press:  12 January 2011

AKEMI TAKADA
Affiliation:
Department of Health Promotion and Behaviour Science, Health Determinants, Kyoto University School of Public Health, Kyoto, Japan
RYOTA NAKAMURA
Affiliation:
Graduate School of Economics, Kyoto University, Kyoto, Japan
MASAKAZU FURUKAWA
Affiliation:
Institute of Economic Research, Kyoto University, Kyoto, Japan
YOSHIMITSU TAKAHASHI
Affiliation:
Department of Health Informatics, Health Administrations, Kyoto University School of Public Health, Kyoto, Japan
SHUZO NISHIMURA
Affiliation:
Graduate School of Economics, Kyoto University, Kyoto, Japan
SHINJI KOSUGI
Affiliation:
Department of Health Promotion and Behaviour Science, Health Determinants, Kyoto University School of Public Health, Kyoto, Japan

Summary

This study aimed to assess the effectiveness of intervention (specifically, intervention by telephone and mails, known as ‘tele-care’) relative to self-help as a weight-loss method. The question of whether there is a correlation between changes in two preference parameters – time discounting (i.e. impatience) and risk aversion – and the level of commitment was examined. The study, spanning a period of 24 weeks in 2006–2007, comprised 118 participants, each of whom was randomly assigned to either the tele-care or the self-help group. A public-health nurse provided support through telephone and mail communications to the tele-care group, aiming to reduce their calorie intake and increase exercise via this intervention. There was a significant decrease in the body weight of the participants of the tele-care group from the baseline; however, there were no significant differences in the weight loss, median time discounting or risk aversion between the two groups. The subsequent analysis for weight loss with changes in time and risk parameters revealed a significant difference in the weight loss in the time-discounting–loss and risk-aversion–gain groups. From the results of the multiple regression analysis, the time discounting was noted to be associated with age, initial BMI and marital status among men, and risk aversion was associated with age and job status among women. There is a possibility that a decrease in time discounting and increase in risk aversion might correlate with the weight loss or effectiveness of commitment in this trial. This study suggests that time discounting and risk aversion may be useful in anti-obesity efforts, since they are accurate criteria of behavioural patterns associated with weight problems.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2011

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References

Adams, J. & White, M. (2005) Why don't stage-based activity promotion interventions work? Health Education Research 20, 237243.CrossRefGoogle ScholarPubMed
Ash, S., Reeves, M. M., Yeo, S., Morrison, G., Carey, D. & Capra, S. (2003) Effect of intensive dietetic intervention on weight and glycemic control in overweight men with type 2 diabetes: a randomized controlled trial. International Journal of Obesity and Related Metabolisms and Disorders 27, 797802.CrossRefGoogle Scholar
Bandura, A. (1977) Self-efficacy: towards a unifying theory of behavioral change. Psychological Review 84, 191215.CrossRefGoogle Scholar
Bandura, A. (ed.) (1986) Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliff, NJ.Google Scholar
Becker, M. H. & Mainman, L. A. (1975) Sociobehavioral determinants of compliance with health and medical care recommendations. Medical Care 13, 124.CrossRefGoogle ScholarPubMed
Benzion, U., Rapport, A. & Yagil, J. (1989) Discount rates and inferred from decisions: an experimental study. Management Science 35, 270284.CrossRefGoogle Scholar
Borghans, L. & Golsteyn, B. H. H. (2006) Time discounting and the body mass index evidence from Netherlands. Economics and Human Biology 4, 3961.CrossRefGoogle ScholarPubMed
Cameron, R., MacDonald, M. A., Schlegal, R. P., Young, C. I., Fisher, S. E. & Killen, J. D. (1990) Towards the development of self-help health behavior change programs: weight loss by correspondence. Canadian Journal of Public Health 81, 275279.Google Scholar
Cohen, J. (ed.) (1988) Statistical Power and Analysis for the Behavioral Sciences. Lawrence Erlbaum, Hillsdale, NJ.Google Scholar
Cohen, J. (1992) A power primer. Psychological Bulletin 112, 155159.CrossRefGoogle ScholarPubMed
Cohen, J. S., Halvorson, H. W. & Gosselink, C. A. (1994) Changing physician behavior to improve disease prevention. Prevention Medicine 23, 284291.CrossRefGoogle ScholarPubMed
Cramer, J. S., Hartog, J., Jonker, N. & Van Praag, C. M. (2002) Low risk aversion encourages the choice for entrepreneurship: an empirical test of a truism. Journal of Economic Behavior & Organization 48, 2936.CrossRefGoogle Scholar
Cutler, D. M., Gleaser, E. L. & Shapiro, J. M. (2003) Why have Americans become more obese? Journal of Economic Perspectives 17, 93118.CrossRefGoogle Scholar
Douketis, J., Macie, C., Thabane, L. & Williamson, D. (2005) Systematic review of long-term weight loss studies in obese adults: clinical significance and applicability to clinical practice. International Journal of Obesity 29, 10531167.CrossRefGoogle ScholarPubMed
Fishbein, M. & Ajazen, I. (eds) (1975) Belief, Attitude, Intention and Behavior. Addison-Wesley Publishing Co., MA.Google Scholar
Frank, R. H. (ed.) (1988) Passion Within Reason: The Strategic Role of the Emotions. W. W. Norton, New York.Google Scholar
Fukuhara, S. & Suzukamo, Y. (2004) SF-8 Japanese Manual. NPO Research for Health Medical Assessment, Kyoto.Google Scholar
Gambling, T. & Long, A. F. (2006) Exploring patient perception of movement through the stage change model within a diabetes tele-care intervention. Journal of Health Psychology 11, 117128.CrossRefGoogle Scholar
Goto, R., Nishimura, S. & Ida, T. (2007) Discrete choice experiment of smoking cessation behaviour in Japan. Tobacco Control 16, 336343.CrossRefGoogle ScholarPubMed
Goto, R., Takahashi, Y., Nishimura, S. & Ida, T. (2009) A cohort study to examine whether time and risk preference is related to smoking cessation success. Addiction 104, 10181024.CrossRefGoogle ScholarPubMed
Hedley, A., Ogden, C., Johnson, C., Carroll, M., Curtin, L. & Flegal, K. (2004) Prevalence of overweight and obesity among U.S. children, adolescents, and adults, 1999–2000. Journal of the American Medical Association 291, 28472850.CrossRefGoogle Scholar
Hellerstedt, W. L. & Jerrery, R. W. (1997) The effects of a telephone-based intervention on weight loss. American Journal of Health Promotion 11, 177182.CrossRefGoogle ScholarPubMed
Jakicic, J., Marcus, B., Gallagher, K., Napolitano, M. & Lang, W. (2003) Effect of exercise duration and intensity on weight loss in overweight, sedentary women: a randomized trial. Journal of the American Medical Association 290, 13231330.CrossRefGoogle ScholarPubMed
Johnson, M. K. & Bikel, W. K. (2002) Within-subject comparison of real and hypothetical money rewards in delay discounting. Journal of the Experimental Analysis of Behavior 77, 129146.CrossRefGoogle ScholarPubMed
Kan, K. (2007) Cigarette smoking and self-control. Journal of Health Economics 26, 6181.CrossRefGoogle ScholarPubMed
Kenkel, D. S. (1991) Health behavior, health knowledge, and schooling. Journal of Political Economy 26, 313325.Google Scholar
King, A. C., Haskell, W. L., Taylor, C. B., Kraemer, H. C. & DeBusk, R. F. (1991) Group-vs. home-based exercise training in healthy older men and women. Journal of the American Medical Association 266, 15351542.CrossRefGoogle ScholarPubMed
Komlos, J., Smith, P. K. & Bogin, B. (2004) Obesity and the rate of time preference: is there a connection? Journal of Biosocial Science 36(2), 209219.CrossRefGoogle ScholarPubMed
Leventhal, H., Halm, E., Horowitz, C., Leventhal, E. A. & Ozakinci, G. (2005) Living with chronic illness: a contextualized, self-regulation approach. In Sutton, S., Baum, A. & Johnston, M. (eds) The SAGE Handbook of Health Psychology. Sage Publications, London, pp. 197240.Google Scholar
Lodenstock, I. M. (1974) Historical origins of health belief model. Health Education Monographs 2, 328335.Google Scholar
Lombard, D. N. & Lombard, T. N. (1995) Walking to meet health guidelines: the effect of prompting frequency and prompt structure. Health Psychology 14, 164170.CrossRefGoogle ScholarPubMed
Mae, S. & Boersma, S. N. (2005) Applications in health psychology: how effective are interventions? In Sutton, S., Baum, A. & Johnston, M. (eds) The SAGE Handbook of Health Psychology. Sage Publications, London, pp. 299325.Google Scholar
Marcus, B. H. & Simkin, L. R. (1994) The transtheoretical model: applications to exercise behavior. Medicine and Science in Sports and Exercise 26, 2330.CrossRefGoogle ScholarPubMed
Ministry of Health Labour and Welfare (2005) Information for the specified health check-up and guidance (in Japanese). URL: http://www.mhlw.go.jp/new-info/kobetu/roudou/gyousei/anzen/080123-3.html (accessed 1st August 2006).Google Scholar
Ministry of Health Labour and Welfare (2006) National Health and Nutrition Survey 2004 (in Japanese). Ministry of Health Labour and Welfare, Tokyo.Google Scholar
Ministry of Health Labour and Welfare (2007) Annual Transition Report of Regular Health Check-Up and Prevalence Rate by Items (in Japanese). URL: http://wwwdbtk.mhlw.go.jp/toukei/kouhyou/data-rou30/jikei/jikei-04.xls (accessed 1st April 2007).Google Scholar
Mitchell, S. H. (1999) Measures of impulsivity in cigarette smokers and non-smokers. Psychopharmacology (Berlin) 146, 456464.CrossRefGoogle ScholarPubMed
Nakajima, J. & Fujita, T. (2006) An investigation concerning weight change from 20 years (in Japanese). Gifu Shiritu Joshi Tankidaigaku Kenkyukiyou 55, 6366.Google Scholar
Odem, A. L., Madden, G. J. & Bickel, W. K. (2002) Discounting of delayed health gains and losses by current, never- and ex-smokers of cigarettes. Nicotine Tobacco Research 4, 295303.CrossRefGoogle Scholar
Ohmura, Y., Takahashi, T. & Kitamura, N. (2005) Discounting delayed and probabilistic monetary gains and losses by smokers of cigarettes. Psychopharmacology (Berlin) 182, 508515.CrossRefGoogle ScholarPubMed
Oka, K., Hirai, T. & Tsutsumi, T. (2003) A psychological factor associated with physical inactivity among middle adults: decisional balance for exercise (in Japanese). Kodo Igaku Kenkyu 9, 2330.Google Scholar
Prochaska, J. O., Norcross, J. C. & Diclemente, C. C. (eds) (1994) Changing For Good. Harper Collins Publishers, New York.Google Scholar
Prochaska, J. O. & Velicer, W. F. (1997) The transtheoretical model of health behavior change. American Journal of Health Promotion 12, 3848.CrossRefGoogle ScholarPubMed
Reynolds, B., Richards, J. B., Horn, K. & Karraker, K. (2004) Delay discounting and probability discounting as related to cigarette smoking status in adults. Behavior Processes 65, 3542.CrossRefGoogle ScholarPubMed
Rhodes, R. E., Plotnikoff, R. C. & Courneya, K. S. (2008) Predicting the physical activity intention-behavior profiles of adopters and maintainers using three social cognition models. Annals of Behavioral Medicine 36, 244252.CrossRefGoogle ScholarPubMed
Sakano, Y. (1989) Verification of validity of General Self-Efficacy Scale (GSES). Waseda University Research of Human Science 2, 9198.Google Scholar
Sakano, Y. & Toujo, M. (1986) A trial of General Self-Efficacy Scale (GSES) (in Japanese). Kodo Ryoho Kenkyu 12(1), 7382.Google Scholar
Sallis, J. F. & Owen, N. (eds) (1998) Physical Activity and Behavioral Medicine. SAGE Publications, London.Google Scholar
Sallis, J. F. & Owen, N. (1999) Ecological model. In Glanz, K., Lewis, F. M. & Rimer, B. K. (eds) Health Behavior and Health Education: Theory, Research, and Practice. Jossey Bass Publishers, San Francisco, pp. 403424.Google Scholar
Sarkin, J. A., Johnson, S. S., Prochaska, J. O. & Prochaska, J. M. (2001) Applying the transtheoretical model to regular moderate exercise in an overweight population: validation of a stage of change measure. Preventive Medicine 33, 462469.CrossRefGoogle Scholar
Sherwood, N. E., Jeferry, R. W., Pronk, N. P., Boucher, J. L., Hanson, A., Boyle, R. et al. (2006) Mail and phone interventions for weight loss in a managed-care setting: weigh-to-be 2-year outcomes. International Journal of Obesity 30, 15651573.CrossRefGoogle Scholar
Smith, P. K., Bogin, B. & Bishai, D. (2005) Are time preference and body mass index associated? Evidence from the National Longitudinal Survey of Youth. Economics and Human Biology 3, 259270.CrossRefGoogle ScholarPubMed
Sobal, J. & Stunkard, A. (1989) Socioeconomic status and obesity: a review of the literature. Psychological Bulletin 105, 260275.CrossRefGoogle ScholarPubMed
Truby, H., Baic, S., deLooy, A., Fox, K. R., Livingstone, M. B. E. & Logan, C. M. (2006) Randomized controlled trial of four commercial weight loss programmes in the UK: initial findings from the BBC “diet trials”. British Medical Journal 332, 13091314.CrossRefGoogle ScholarPubMed
Vallis, M., Rossi, S., Ruggiero, L., Edwards, L., Greene, G., Rossi, J. S. et al. (2003) Stages of change for healthy care utilization, and psychosocial factors. Diabetes Care 25, 14681474.CrossRefGoogle Scholar
Wadden, T. & Osei, S. (eds) (2004) The treatment of obesity: an overview. In Handbook of Obesity Treatment. Guilford Press, New York.Google Scholar
Weller, R. E., Cook, E. W. R., Avsar, K. B. & Cox, J. E. (2008) Obese women show greater delay discounting than healthy-weight women. Appetite 51, 563569.CrossRefGoogle ScholarPubMed
Womble, L. G., Wadden, T. A., McGuckin, B. G., Sargent, S. L., Rothman, R. A. & Krauthamer-Ewing, E. S. (2004) A randomized controlled trial of a commercial internet weight loss program. Obesity Research 12, 10111018.CrossRefGoogle ScholarPubMed
Zhang, L. & Rashad, I. (2008) Obesity and time preference: the health consequences of discounting the future. Journal of Biosocial Science 40, 97113.CrossRefGoogle ScholarPubMed