Effect of retirement on eating out and weight change: an analysis of gender differences

Obesity

Volumn 15, Issue 4, 2007, Pages 1053-1060

  Chung, Sukyung ^a,d   Popkin, Barry M ^b   Domino, Marisa E ^c   Stearns, Sally C ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

^d NONE   (United States)

Author keywords

BMI; Economic analysis; Employment; Gender; Public health

Indexed keywords

AGED; ARTICLE; BODY MASS; BODY WEIGHT; CATERING SERVICE; EATING; ECONOMICS; FEEDING BEHAVIOR; FEMALE; HUMAN; MALE; MIDDLE AGED; REGRESSION ANALYSIS; RETIREMENT; SEX DIFFERENCE; WEIGHT GAIN;

AGED; BODY MASS INDEX; BODY WEIGHT; EATING; ECONOMICS; FEEDING BEHAVIOR; FEMALE; HUMANS; MALE; MIDDLE AGED; REGRESSION ANALYSIS; RESTAURANTS; RETIREMENT; SEX FACTORS; WEIGHT GAIN;

EID: 34248388125     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1038/oby.2007.538     Document Type: Article

References (34)

1. Mokdad AH, Serdula MK, Dietz WH, et al. The spread of the obesity epidemic in the United States, 1991-1998. JAMA. 1999;282:1519-22.
2. Prentice AM, Jebb SA. Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev. 2003;4:187-94.
3. Nielsen SJ, Popkin BM. Patterns and trends in food portion sizes, 1977-1998. JAMA. 2003;289:450-3.
4. Guthrie JF, Lin BH, Frazao E. Role of food prepared away from home in the American diet, 1977-78 versus 1994-96: changes and consequences. J Nutr Educ Behav. 2002;34:140-50.
5. Chou SY, Grossman M, Saffer H. An economic analysis of adult obesity: results from behavioral risk factor surveillance system. J Health Econ. 2004;23:565-87.
6. Binkley JK, Eales J, Jekanowski M. The relation between dietary change and rising US obesity. Int J Obes Relat Metab Disord. 2000;24:1032-9.
7. McCrory MA, Fuss PJ, Hays NP, et al. Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19 to 80. Obes Res. 1999;7:564-71.
8. Bowman SA, Vinyard BT. Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004;23:163-8.
9. Thompson D, Edelsberg J, Colditz GA, Bird AP, Oster G. Lifetime health and economic consequences of obesity. Arch Intern Med. 1999;159:2177-83.
10. French SA, Harnack L, Jeffery RW. Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obes Relat Metab Disord. 2000;24:1353-9.
11. Pereira MA, Kartashov AI, Ebbeling CB, et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005;365:36-42.
12. Becker GS. Division of labor in households and families. In: A Treatise of the Family. Cambridge, MA: Harvard University; 1981, pp. 14-37.
13. Gronau R. Leisure, home production, and work: the theory of the allocation of time revisited. J Polit Econ. 1977:85;1099-124.
14. Lundberg S, Startz R, Stillman S. The retirement-consumption puzzle: a marital bargaining approach. J Public Econ. 2003;87:1199-218.
15. Banks J, Blundell R, Tanner S. Is there a retirement savings puzzle? Am Econ Rev. 1998;88:769-88.
16. Stephens M. The long-run consumption effects of earnings shocks. Rev Econ Stat. 2001;83:28-36.
17. Institute for Social Research. Health and Retirement Study, Public Data. University of Michigan. http://www.hrsonline.isr.umich.edu/ data/index.html (Accessed November 14, 2003).
18. Institute for Social Research. Background Information. University of Michigan. http://hrsonline.isr.umich.edu/intro/sho_intro.php? hfyle=uinfo (Accessed January 20, 2005).
19. Economic Research Service. Food CPI, Prices, and Expenditures: Expenditure Tables. www.ers.usda.gov/briefing/CPIFoodAndExpenditures (Accessed October 26, 2005).
20. National Center for Health Statistics, Centers for Disease Control. NHANES 2003: Data Sets and Related Documentation. http://www.cdc.gov/nchs/nhanes.htm (Accessed September 10, 2003).
21. Cawley J. Rational Addiction, the Consumption of Calories, and Body Weight. Chicago, IL: University of Chicago; 1999. PhD thesis.
22. Mitchell JM, Burkhauser R. Disentangling the effect of arthritis on earnings: a simultaneous estimate of wage rates and hours worked. Appl Econ. 1990;22:1291-310.
23. Dwyer DS, Mitchell OS. Health problems as determinants of retirement: are self-rated measures endogenous? J Health Econ. 1999;18:173-93.
24. Scharlach AE, Boyd SL. Caregiving and employment: results of an employee survey. Gerontologist. 1989;29:382-7.
25. Cochrane JH. A simple test of consumption insurance. J Polit Econ. 1991;99:957-76.
26. Gertler P, Gruber J. Insuring consumption against illness. Am Econ Rev. 2002;92:51-70.
27. Haines PS, Guilkey DK, Popkin BM. Modeling food consumption decisions as a two-step process. Am J Agric Econ. 1988;70:543-52.
28. Stata Corporation. Stata Statistical Software: Release 8.0. College Station, TX: StataCorp LP.; 2003.
29. Heeb JL, Gmel G, Zurbrugg C, et al. Changes in alcohol consumption following a reduction in the price of spirits: a natural experiment in Switzerland. Addiction. 2003;98:1433-46.
30. Yen ST, Kan K, Su SJ. Household demand for fats and oils: two-step estimation of a censored demand system. Appl Econ. 2002;34:1799-806.
31. Schoeller DA. Limitations in the assessment of dietary energy intake by self-report. Metabolism. 1995;44(Suppl 2):18-22.
32. Ventura AK, Loken E, Mitchell DC, Smiciklas-Wright H, Birch LL. Understanding reporting bias in the dietary recall data of 11-year-old girls. Obesity. 2006;14:1073-84.
33. Harnack L, Himes JH, Anliker J, et al. Intervention-related bias in reporting of food intake by fifth-grade children participating in an obesity prevention study. Am J Epidemiol. 2004;160:1117-21.
34. Martin GS, Tapsell LC, Denmeade S, Batterham MJ. Relative validity of a diet history interview in an intervention trial manipulating dietary fat in the management of Type II diabetes mellitus. Prev Med. 2003;36:420-8.