Background. Including spouses in obesity treatment has been found to promote weight loss. We assessed whether spouses’ diet and activity changes impacted each other’s weight loss when both members attended an active weight loss program (TOGETHER) or only the primary participant attended treatment (ALONE). Methods. Heterosexual couples ( ) enrolled in an 18-month randomized controlled weight loss trial were weighed and completed measures of dietary intake and physical activity at baseline and 6 months. We conducted dyadic data analyses using the Actor-Partner Interdependence Model. Results. Participants’ weight loss was not predicted by their partners’ behavior changes. However, partners’ weight loss was predicted by their participants’ changes in calorie and fat intake. When partners were coupled with a participant who did not reduce their own calorie and fat intake as much, these partners had higher weight loss when treated in the TOGETHER group but lower weight loss when they were untreated in the ALONE group. There were no reciprocal effects found with physical activity changes. Conclusions. Direct treatment had the greatest impact on participants and partners who were treated. Untreated partners’ weight losses were positively impacted by their spouses’ dietary changes, suggesting a ripple effect from treated spouses to their untreated partners. 1. Introduction Enhancing weight loss maintenance is an imperative in obesity treatment, and social networks are poised to be important facilitators of this process. A growing body of research suggests that romantic partnerships exert an influence on obesity and therefore may be an important network to intervene upon [1–4]. Married people are generally heavier, and weight gain, decreased physical activity, and poor diet changes after marriage are common [4–8]. Spouses tend to gain weight during the first few years of marriage [9, 10], and increased duration of cohabitation with romantic partners is associated with obesity [7]. Why married individuals tend to share an obesity risk is less understood. The mechanisms of assortative mating and shared home environment are potential explanations [11–13]. Assortative mating suggests that individuals select romantic partners with similar behaviors and body types. Thus, from the start of relationships, couples share an obesity status and behaviors that perpetuate this condition [12]. Similarly, the shared home environment mechanism suggests that spouses share an obesity risk, but instead the risk occurs as a result of their shared household, finances, and social
References
[1]
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.
[2]
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.
[3]
R. W. Jeffery, J. L. Forster, A. R. Folsom, R. V. Luepker, D. R. Jacobs Jr., and H. Blackburn, “The relationship between social status and body mass index in the Minnesota Heart Health Program,” International Journal of Obesity, vol. 13, no. 1, pp. 59–67, 1989.
[4]
P. M. Eng, I. Kawachi, G. Filzmaurice, and E. B. Rimm, “Effects of marital transitions on changes in dietary and other health behaviours in US male health professionals,” Journal of Epidemiology and Community Health, vol. 59, no. 1, pp. 56–62, 2005.
[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.
[6]
J. Sobal, B. Rauschenbach, and E. A. Frongillo, “Marital status changes and body weight changes: a US longitudinal analysis,” Social Science and Medicine, vol. 56, no. 7, pp. 1543–1555, 2003.
[7]
N. S. The and P. Gordon-Larsen, “Entry into romantic partnership is associated with obesity,” Obesity, vol. 17, no. 7, pp. 1441–1447, 2009.
[8]
D. Umberson, “Gender, marital status and the social control of health behavior,” Social Science and Medicine, vol. 34, no. 8, pp. 907–917, 1992.
[9]
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.
[10]
H. S. Kahn and D. F. Williamson, “The contributions of income, education and changing marital status to weight change among US men,” International Journal of Obesity, vol. 14, no. 12, pp. 1057–1068, 1990.
[11]
D. Meyler, J. P. Stimpson, and M. K. Peek, “Health concordance within couples: a systematic review,” Social Science and Medicine, vol. 64, no. 11, pp. 2297–2310, 2007.
[12]
L. A. Lillard and C. W. Panis, “Marital status and mortality: the role of health,” Demography, vol. 33, no. 3, pp. 313–327, 1996.
[13]
K. R. Smith and C. D. Zick, “Linked lives, dependent demise? Survival analysis of husbands and wives,” Demography, vol. 31, no. 1, pp. 81–93, 1994.
[14]
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.
[15]
P. T. Katzmarzyk, J. Hebebrand, and C. Bouchard, “Spousal resemblance in the Canadian population: implications for the obesity epidemic,” International Journal of Obesity, vol. 26, no. 2, pp. 241–246, 2002.
[16]
P. T. Katzmarzyk, L. Pemsse, D. C. Rao, and C. Bouchard, “Spousal resemblance and risk of 7-year increases in obesity and central adiposity in the Canadian population,” Obesity Research, vol. 7, no. 6, pp. 545–551, 1999.
[17]
L. C. Macken, B. Yates, and S. Blancher, “Concordance of risk factors in female spouses of male patients with coronary heart disease,” Journal of Cardiopulmonary Rehabilitation, vol. 20, no. 6, pp. 361–368, 2000.
[18]
C. Rotimi and R. Cooper, “Familial resemblance for anthropometric measurements and relative fat distribution among African Americans,” International Journal of Obesity, vol. 19, no. 12, pp. 875–880, 1995.
[19]
E. Barrett-Connor, L. Suarez, and M. H. Criqui, “Spouse concordance of plasma cholesterol and triglyceride,” Journal of Chronic Diseases, vol. 35, no. 5, pp. 333–340, 1982.
[20]
G. G. Homish and K. E. Leonard, “Spousal influence on general health behaviors in a community sample,” The American Journal of Health Behavior, vol. 32, no. 6, pp. 754–763, 2008.
[21]
E. Macario and G. Sorensen, “Spousal similarities in fruit and vegetable consumption,” The American Journal of Health Promotion, vol. 12, no. 6, pp. 369–377, 1998.
[22]
T. A. Wadden, M. L. Butryn, and K. J. Byrne, “Efficacy of lifestyle modification for long-term weight control,” Obesity research, vol. 12, supplement, pp. 151S–162S, 2004.
[23]
D. R. Black, L. J. Gleser, and K. J. Kooyers, “A meta-analytic evaluation of couples weight-loss programs,” Health Psychology, vol. 9, no. 3, pp. 330–347, 1990.
[24]
N. McLean, S. Griffin, K. Toney, and W. Hardeman, “Family involvement in weight control, weight maintenance and weight-loss interventions: a systematic review of randomised trials,” International Journal of Obesity, vol. 27, no. 9, pp. 987–1005, 2003.
[25]
A. A. Gorin, H. A. Raynor, J. Fava et al., “Randomized controlled trial of a comprehensive home environment-focused weight-loss program for adults,” Health Psychology, vol. 32, no. 2, pp. 128–137, 2013.
[26]
L. L. Subak, R. Wing, D. S. West et al., “Weight loss to treat urinary incontinence in overweight and obese women,” The New England Journal of Medicine, vol. 360, no. 5, pp. 481–490, 2009.
[27]
T. A. Wadden, D. S. West, L. Delahanty et al., “Look AHEAD study: a description of the lifestyle intervention and the evidence supporting it,” Obesity, vol. 14, no. 5, pp. 737–752, 2006.
[28]
G. Block, A. M. Hartman, C. M. Dresser, M. D. Carroll, J. Gannon, and L. Gardner, “A data-based approach to diet questionnaire design and testing,” The American Journal of Epidemiology, vol. 124, no. 3, pp. 453–469, 1986.
[29]
G. Block, M. Woods, A. Potosky, and C. Clifford, “Validation of a self-administered diet history questionnaire using multiple diet records,” Journal of Clinical Epidemiology, vol. 43, no. 12, pp. 1327–1335, 1990.
[30]
R. S. Paffenbarger Jr., A. L. Wing, and R. T. Hyde, “Physical activity as an index of heart attack risk in college alumni,” The American Journal of Epidemiology, vol. 108, no. 9, pp. 161–175, 1978.
[31]
J. K. Harris, S. A. French, R. W. Jeffery, P. G. McGovern, and R. R. Wing, “Dietary and physical activity correlates of long-term weight loss,” Obesity research, vol. 2, no. 4, pp. 307–313, 1994.
[32]
S. F. Siconolfi, T. M. Lasater, R. C. K. Snow, and R. A. Carleton, “Self-reported physical activity compared with maximal oxygen uptake,” The American Journal of Epidemiology, vol. 122, no. 1, pp. 101–105, 1985.
[33]
D. A. Kenny, D. A. Kashy, and W. L. Cook, Dyadic Data Analysis, The Guilford Press, New York, NY, USA, 2006.
[34]
J. L. Arbuckle, Amos [Computer Program]. Version 20. 0, IBM SPSS, Chicago, Ill, USA, 2011.
[35]
T. Matsuo, M. K. Kim, Y. Murotake et al., “Indirect lifestyle intervention through wives improves metabolic syndrome components in men,” International Journal of Obesity, vol. 34, no. 1, pp. 136–145, 2010.
[36]
R. Rossini, S. Moscatiello, G. Tarrini et al., “Effects of cognitive-behavioral treatment for weight loss in family members,” Journal of the American Dietetic Association, vol. 111, no. 11, pp. 1712–1719, 2011.
[37]
D. F. Tate, G. Turner-McGrievy, E. Lyons et al., “Replacing caloric beverages with water or diet beverages for weight loss in adults: main results of the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial,” The American Journal of Clinical Nutrition, vol. 95, no. 3, pp. 555–563, 2012.
[38]
H. A. Raynor, “Can limiting dietary variety assist with reducing energy intake and weight loss?” Physiology and Behavior, vol. 106, no. 3, pp. 356–361, 2012.
[39]
B. J. Rolls, L. S. Roe, and J. S. Meengs, “Reductions in portion size and energy density of foods are additive and lead to sustained decreases in energy intake,” The American Journal of Clinical Nutrition, vol. 83, no. 1, pp. 11–17, 2006.