Table of Contents Author Guidelines Submit a Manuscript
Journal of Obesity
Volume 2014, Article ID 703215, 11 pages
http://dx.doi.org/10.1155/2014/703215
Research Article

Socioeconomic and Demographic Factors for Spousal Resemblance in Obesity Status and Habitual Physical Activity in the United States

1Department of International Health Human Nutrition Program, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
2Institute of Public Health, National Yang-Ming University, Taipei 11219, Taiwan
3Department of Epidemiology and Environmental Health, School of Public Health and Health Professions and School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Farber Hall, Room 270, 3435 Main Street, Buffalo, NY 14214-8001, USA

Received 12 May 2014; Accepted 2 September 2014; Published 23 September 2014

Academic Editor: Tomoo Okada

Copyright © 2014 Hsin-Jen Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. A. Schoenborn, “Marital status and health: United States, 1999–2002,” in Advance Data from Vital and Health Statistics, National Center for Health Statistics, Hyattsville, Md, USA, 2004. View at Google Scholar
  2. G. D. Datta, B. A. Neville, I. Kawachi, N. S. Datta, and C. C. Earle, “Marital status and survival following bladder cancer,” Journal of Epidemiology and Community Health, vol. 63, no. 10, pp. 807–813, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. M. E. Dupre, A. N. Beck, and S. O. Meadows, “Marital trajectories and mortality among US adults,” The American Journal of Epidemiology, vol. 170, no. 5, pp. 546–555, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. L. Manzoli, P. Villari, G. M Pirone, and A. Boccia, “Marital status and mortality in the elderly: a systematic review and meta-analysis,” Social Science and Medicine, vol. 64, no. 1, pp. 77–94, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Sobal, K. L. Hanson, and E. A. Frongillo, “Gender, ethnicity, marital status, and body weight in the united states,” Obesity, vol. 17, no. 12, pp. 2223–2231, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Dinour, M. M. Leung, G. Tripicchio, S. Khan, and M.-C. Yeh, “The association between marital transitions, body mass index, and weight: a review of the literature,” Journal of Obesity, vol. 2012, Article ID 294974, 16 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. R. W. Jeffery and A. M. Rick, “Cross-sectional and longitudinal associations between body mass index and marriage-related factors,” Obesity Research, vol. 10, no. 8, pp. 809–815, 2002. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Lee, E. Cho, F. Grodstein, I. Kawachi, F. B. Hu, and G. A. Colditz, “Effects of marital transitions on changes in dietary and other health behaviours in US women,” International Journal of Epidemiology, vol. 34, no. 1, pp. 69–78, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. F. B. Ortega, W. J. Brown, D.-C. Lee, M. Baruth, X. Sui, and S. N. Blair, “In fitness and health? A prospective study of changes in marital status and fitness in men and women,” The American Journal of Epidemiology, vol. 173, no. 3, pp. 337–344, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Sobal, B. Rauschenbach, and E. A. Frongillo, “Marital status changes and body weight changes: a US longitudinal analysis,” Social Science & Medicine, vol. 56, no. 7, pp. 1543–1555, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. V. Burke, L. J. Beilin, D. Dunbar, and M. Kevan, “Changes in health-related behaviours and cardiovascular risk factors in young adults: associations with living with a partner,” Preventive Medicine, vol. 39, no. 4, pp. 722–730, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. Wang and M. A. Beydoun, “The obesity epidemic in the United States—gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis,” Epidemiologic Reviews, vol. 29, no. 1, pp. 6–28, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. A. Di Castelnuovo, G. Quacquaruccio, M. B. Donati, G. de Gaetano, and L. Iacoviello, “Spousal concordance for major coronary risk factors: a systematic review and meta-analysis,” The American Journal of Epidemiology, vol. 169, no. 1, pp. 1–8, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. M. H. Lee, H. C. Kim, G. N. Thomas et al., “Familial concordance of metabolic syndrome in Korean population-Korean National Health and Nutrition Examination Survey 2005,” Diabetes Research and Clinical Practice, vol. 93, no. 3, pp. 430–436, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. N. A. Christakis and J. H. Fowler, “The spread of obesity in a large social network over 32 years,” The New England Journal of Medicine, vol. 357, no. 4, pp. 370–379, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Meyler, J. P. Stimpson, and M. K. Peek, “Health concordance within couples: a systematic review,” Social Science & Medicine, vol. 64, no. 11, pp. 2297–2310, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. H. Ask, K. Rognmo, F. A. Torvik, E. Røysamb, and K. Tambs, “Non-random mating and convergence over time for alcohol consumption, smoking, and exercise: the Nord-Trøndelag Health Study,” Behavior Genetics, vol. 42, no. 3, pp. 354–365, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. T. A. Falba and J. L. Sindelar, “Spousal concordance in health behavior change,” Health Services Research, vol. 43, no. 1, pp. 96–116, 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. C. F. Bove, J. Sobal, and B. S. Rauschenbach, “Food choices among newly married couples: convergence, conflict, individualism, and projects,” Appetite, vol. 40, no. 1, pp. 25–41, 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. C. Reczek, “The promotion of unhealthy habits in gay, lesbian, and straight intimate partnerships,” Social Science and Medicine, vol. 75, no. 6, pp. 1114–1121, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. J. Cohen, Methodology Report #1: Design and Methods of the Medical Expenditure Panel Survey Household Component, Agency for Health Care Policy and Research, Rockville, Md, USA, 1997.
  22. C. Hokayem and M. L. Heggeness, Living in Near Poverty in the United States: 1966–2012, Current Population Reports, U.S. Census Bureau, Suitland, Md, USA, 2014.
  23. C.-W. Pai, A. Godboldo-Brooks, and D. W. Edington, “Spousal concordance for overall health risk status and preventive service compliance,” Annals of Epidemiology, vol. 20, no. 7, pp. 539–546, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” The Lancet, vol. 1, no. 8476, pp. 307–310, 1986. View at Google Scholar · View at Scopus
  25. D. A. Kenny, D. A. Kashy, and W. L. Cook, Dyadic Data Analysis, The Guilford Press, 2006.
  26. M. A. Beydoun and Y. Wang, “Parent-child dietary intake resemblance in the United States: evidence from a large representative survey,” Social Science and Medicine, vol. 68, no. 12, pp. 2137–2144, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. B. Rosner, Fundamentals of Biostatistics, Thomson Brooks/Cole, Belmont, Calif, USA, 6th edition, 2006.
  28. J. Cohen, “A coefficient of agreement for nominal scales,” Educational and Psychological Measurement, vol. 20, pp. 37–46, 1960. View at Google Scholar
  29. K. Inoue, T. Sawada, H. Suge, Y. Nao, and M. Igarashi, “Spouse concordance of obesity, blood pressures and serum risk factors for atherosclerosis,” Journal of Human Hypertension, vol. 10, no. 7, pp. 455–459, 1996. View at Google Scholar · View at Scopus
  30. M. W. Knuiman, M. L. Divitini, H. C. Bartholomew, and T. A. Welborn, “Spouse correlations in cardiovascular risk factors and the effect of marriage duration,” American Journal of Epidemiology, vol. 143, no. 1, pp. 48–53, 1996. View at Publisher · View at Google Scholar · View at Scopus
  31. A. A. Gorin, R. R. Wing, J. L. Fava et al., “Weight loss treatment influences untreated spouses and the home environment: evidence of a ripple effect,” International Journal of Obesity, vol. 32, no. 11, pp. 1678–1684, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. A. K. Madan, K. A. Turman, and D. S. Tichansky, “Weight changes in spouses of gastric bypass patients,” Obesity Surgery, vol. 15, no. 2, pp. 191–194, 2005. View at Publisher · View at Google Scholar · View at Scopus
  33. J. E. Brown, D. H. Broom, J. M. Nicholson, and M. Bittman, “Do working mothers raise couch potato kids? Maternal employment and children's lifestyle behaviours and weight in early childhood,” Social Science & Medicine, vol. 70, no. 11, pp. 1816–1824, 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. K. M. Ziol-Guest, R. E. Dunifon, and A. Kalil, “Parental employment and children's body weight: mothers, others, and mechanisms,” Social Science and Medicine, vol. 95, pp. 52–59, 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. J. Abrevaya and H. Tang, “Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission,” Empirical Economics, vol. 41, no. 3, pp. 841–864, 2011. View at Publisher · View at Google Scholar · View at Scopus
  36. C. Ribet, T. Lang, M. Zins et al., “Do cardiovascular risk factors in men depend on their spouses' occupational category?” European Journal of Epidemiology, vol. 17, no. 4, pp. 347–356, 2001. View at Publisher · View at Google Scholar · View at Scopus
  37. S. Coltrane and K. Y. Shih, “Gender and the division of labor,” in Handbook of Gender Research in Psychology, J. C. Chrisler and D. R. McCreary, Eds., chapter 17, pp. 401–422, Springer, 2010. View at Google Scholar
  38. Bureau of Labor Statistics: American Time Use Survey—2010 Results. In BLS News Release, 2010, http://www.bls.gov/newsrelease/pdf/atuspdf.
  39. A. Drewnowski and S. E. Specter, “Poverty and obesity: the role of energy density and energy costs,” The American Journal of Clinical Nutrition, vol. 79, no. 1, pp. 6–16, 2004. View at Google Scholar · View at Scopus
  40. R. M. Merrill and J. S. Richardson, “Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001–2006,” Preventing Chronic Disease, vol. 6, no. 4, p. A121, 2009. View at Google Scholar · View at Scopus
  41. Y. Liu, H.-J. Chen, L. Liang, and Y. Wang, “Parent-child resemblance in weight status and its correlates in the United States,” PLoS ONE, vol. 8, no. 6, Article ID e65361, 2013. View at Publisher · View at Google Scholar · View at Scopus