title: Neighbourhood disadvantage, network capital and restless sleep: is the association moderated by gender in urban-dwelling adults?
abstract: Despite evidence suggesting that social and neighbourhood contexts may relate to sleep in adults, the underlying social and demographic mechanisms involved remain relatively unexplored. This study proposes a conceptual framework for examining the link between social environments and restless sleep, and assesses whether associations among restless sleep, social capital, and neighbourhood environments differ by gender. Data come from the 2008 Montreal Neighborhood Networks and Healthy Aging Study (n = 2707). Participants self-reported restless sleep. Network and cognitive dimensions of social capital were examined. Neighbourhood disadvantage and population density were measured using 2006 Canada Census data. Multilevel logistic analyses adjusting for socio-economic and -demographic variables were used to estimate associations among study variables. The final sample size for this study was 2643 adults (nmen = 930; nwomen = 1713). Women were more likely to experience restless sleep than men (OR: 1.29; 95% CIs: 1.07, 1.55). Network capital increased the likelihood of restless sleep in men (OR = 1.25; 95% CI: 1.04-1.50) but not women. High generalized trust decreased the odds of restless sleep in women (OR = 0.75; 95% CI: 0.59-0.94); neighbourhood disadvantage increased the odds of restless sleep in women but not men (OR = 1.18; 95% CI: 1.01-1.38). The association among restless sleep, social capital, and neighbourhood environmental factors differed in male and female Montreal adults. This study contributes to a greater understanding of possible differential associations between social environments and health in men and women. Greater knowledge of the social and environmental factors that contribute to poor sleep in men and women can aid in the design of interventions to improve sleep patterns in the general population. Social and health promotion interventions might aim to improve general neighbourhood environmental conditions to improve the sleep health of women.
authors.affiliation: School of Kinesiology and Health Studies, Queen's University, Canada.
authors.forename: Emma
authors.initials: E
authors.lastname: Bassett
authors.affiliation: School of Kinesiology and Health Studies, Queen's University, Canada; Department of Community Health and Epidemiology, Queen's University, Canada. Electronic address: mooresp@queensu.ca.
authors.forename: Spencer
authors.initials: S
authors.lastname: Moore
mesh_terms: D000328:Adult; D000368:Aged; D002170:Canada / Q000453:epidemiology; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008875:Middle Aged; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012893:Sleep Wake Disorders / Q000453:epidemiology*; D066270:Social Capital; D012931:Social Environment; D012959:Socioeconomic Factors; D014504:Urban Health / Q000706:statistics & numerical data*
keywords: Gender; Neighbourhoods; Sleep; Social capital; Social networks