BACKGROUND: Limited research has examined the association of individual trust, participation and social capital with obesity using objective measures of waist circumference (WC), body mass index (BMI) and network measures of social capital. METHODS: Data were obtained from a representative sample of Montreal residents. Participants completed questionnaires that included a position generator for collecting network social capital data. Measures of WC, height and weight were collected by registered nurses. To estimate associations with cardiometabolic risk, data on WC for individuals with BMI between 18.5 and 34.9 were extracted for analysis (n = 291). Using a proportional odds model with clustered robust standard errors, we evaluated the association of three different measures of individual social capital with elevated and substantially elevated WC and overweight and obesity categories of BMI. These measures were then evaluated in their associations with elevated WC and BMI, adjusting for socio-demographic and behavioral covariates. RESULTS: Network social capital was inversely associated with the likelihood of being in an elevated WC risk category (odds ratio (OR) = 0.81, 95% confidence intervals (CI: 0.69, 0.96) and higher BMI category (OR = 0.81, 95% CI: 0.71, 0.92). CONCLUSION: Higher individual network social capital is associated with a lower likelihood of elevated WC risk and overweight and obesity.
BACKGROUND: Limited research has examined the association of individual trust, participation and social capital with obesity using objective measures of waist circumference (WC), body mass index (BMI) and network measures of social capital. METHODS: Data were obtained from a representative sample of Montreal residents. Participants completed questionnaires that included a position generator for collecting network social capital data. Measures of WC, height and weight were collected by registered nurses. To estimate associations with cardiometabolic risk, data on WC for individuals with BMI between 18.5 and 34.9 were extracted for analysis (n = 291). Using a proportional odds model with clustered robust standard errors, we evaluated the association of three different measures of individual social capital with elevated and substantially elevated WC and overweight and obesity categories of BMI. These measures were then evaluated in their associations with elevated WC and BMI, adjusting for socio-demographic and behavioral covariates. RESULTS: Network social capital was inversely associated with the likelihood of being in an elevated WC risk category (odds ratio (OR) = 0.81, 95% confidence intervals (CI: 0.69, 0.96) and higher BMI category (OR = 0.81, 95% CI: 0.71, 0.92). CONCLUSION: Higher individual network social capital is associated with a lower likelihood of elevated WC risk and overweight and obesity.
Authors: Gerry Veenstra; Isaac Luginaah; Sarah Wakefield; Stephen Birch; John Eyles; Susan Elliott Journal: Soc Sci Med Date: 2004-12-25 Impact factor: 4.634
Authors: Matthew S Freiberg; Howard J Cabral; Tim C Heeren; Ramachandran S Vasan; R Curtis Ellison Journal: Diabetes Care Date: 2004-12 Impact factor: 19.112
Authors: Melissa Scharoun-Lee; Penny Gordon-Larsen; Linda S Adair; Barry M Popkin; Jay S Kaufman; Chirayath M Suchindran Journal: Demography Date: 2011-05
Authors: Roberta Dalle Molle; Hajar Fatemi; Alain Dagher; Robert D Levitan; Patricia P Silveira; Laurette Dubé Journal: Neurosci Biobehav Rev Date: 2016-12-23 Impact factor: 8.989
Authors: Shao-Tzu Yu; Brian Houle; Lenore Manderson; Elyse A Jennings; Stephen M Tollman; Lisa F Berkman; Guy Harling Journal: SSM Popul Health Date: 2022-07-06
Authors: Sandra M Coulon; Dawn K Wilson; Sarah Griffin; Sara M St George; Kassandra A Alia; Nevelyn N Trumpeter; Abraham K Wandersman; Melinda Forthofer; Shamika Robinson; Barney Gadson Journal: Am J Public Health Date: 2012-10-18 Impact factor: 9.308
Authors: David A Shoham; Liping Tong; Peter J Lamberson; Amy H Auchincloss; Jun Zhang; Lara Dugas; Jay S Kaufman; Richard S Cooper; Amy Luke Journal: PLoS One Date: 2012-06-29 Impact factor: 3.240