Abstract Objectives Obesity prevention and management requires effective interventions that address broader social determinants, but current research on the role of social ties and central and general obesity is limited. This study aimed to determine the link of social ties and obesity using gender sensitive analysis. Methods We used baseline data from the Canadian Longitudinal Study on Aging (CLSA, 2012–2015) Comprehensive cohort of 28,238 adults (45–85y). We assessed whether four types of social ties including marital status (partnered, single, widowed, divorced/separated); living arrangement (co-living versus lone-living); social network size (sum of known contacts, 1–580); and social participation (sum of social activities participated at least every month, 0–8) were associated with objectively measured anthropometric outcomes, and whether associations differed by gender. Results Overall, odds of both central and general obesity were higher among all non-partnered women and among women with less social activities (≤ 2), compared to counterparts. For example, women with minimal social activities had 46% higher odds of central obesity (OR = 1.46 [95% CI: 1.07, 1.99]) than women with at least five regular social activities. By contrast, lone-living and smaller social networks were associated with lower odds of general obesity among men; however, single men had an 18% higher odds of central obesity (1.18 [1.02, 1.37]) compared to married men. Gender differences revealed stronger associations for general obesity in women compared to central obesity, that was not observed in men. Conclusions This study suggests that absence of social ties is strongly associated with obesity in women, who may benefit most from structural interventions that foster greater social relationships. The influence of social ties on obesity among men deserves further prospective investigations. Funding Sources This research was made possible using data/biospecimens collected by CLSA. Funding for the CLSA is provided by the Government of Canada through the Canadian Institute of Health Research (CIHR) under grant reference: LSA 94,473 and the Canada Foundation for Innovation. This research has been conducted using CLSA Baseline Comprehensive Dataset version 4.0, AN 19CA003. CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. The present research is funded by CIHR grant.
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