Suchergebnisse

Objective: We applied a social network approach to examine if three types of diabetes-related stigma (self-stigma, per­ceived stigma and enacted stigma) moder­ated associations between social network characteristics (network size, kin composi­tion, household composition, and network density), social support, and blood glucose among Ghanaians with type 2 diabetes mel­litus (T2DM).Methods: Data were obtained through a cross-sectional survey of 254 adults at a diabetes clinic in Ghana that assessed participants' social networks, social support, and frequency of experiencing three types of diabetes-related stigma.Results: Self-stigma moderated associa­tions between kin composition and social support when controlling for network size (β=-.97, P=.004). Among study participants reporting low self-stigma, kin composition was positively associated with social support (β=1.29, P<.0001), but this association was not found among those reporting high self-stigma. Network size was positively associ­ated with social support among participants reporting both low and high self-stigma. None of the types of diabetes-related stigma moderated other associations between social networks, social support, and blood glucose.Conclusions: Individuals with T2DM who report high self-stigma may have lower social support, which can reduce their capacity for disease management. Addition­ally, larger social networks may be beneficial for individuals with T2DM in countries like Ghana, and interventions that expand network resources may facilitate diabe­tes control. Ethn Dis.2020; 31(1):57-66; doi:10.18865/ed.31.1.57

Purpose: To assess the relationship between light-intensity physical activity (LIPA) and cardiometabolic risk factors among middle-aged and older adults with multiple chronic conditions. Design: Cross-sectional design utilizing data from the Health and Retirement Study (2010, 2012). Setting: Laboratory- and survey-based testing of a nationally representative sample of community-dwelling middle aged and older adults. Participants: Adults aged 50 years and older (N = 14 996). Measures: Weighted metabolic equivalent of tasks was calculated using self-reported frequency of light, moderate, and vigorous physical activity. Cardiometabolic risk factors (systolic and diastolic blood pressure, glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C], total cholesterol, and non-HDL-C) were objectively measured. A multiple chronic condition index was based on 8 self-reported chronic conditions. Analysis: Weighted multivariate linear regression models. Results: Light-intensity physical activity was independently associated with favorable HDL-C (β = 1.25; 95% confidence interval [CI]: 0.46-2.05) and total cholesterol (β = 2.72; 95% CI: 0.53-4.90) after adjusting for relevant confounders. The HDL-C health benefit was apparent when stratified by number of chronic conditions, for individuals with 2 to 3 conditions (β = 1.73; 95% CI: 0.58-2.89). No significant associations were observed between LIPA and blood pressure, HbA1c, or non-HDL-C. Conclusions: Engaging in LIPA may be an important health promotion activity to manage HDL-C and total cholesterol. Additional longitudinal research is needed to determine the causal association between LIPA and cardiometabolic risk which can potentially inform physical activity guidelines targeting older adults with multiple chronic conditions.