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Physical activity and body mass index (BMI) are linked to the prevention and management of type 2 diabetes (T2D). Romantic partners influence each other's health and the behavioral management of T2D often involves both partners. Therefore, this study examined dyadic associations between physical activity and BMI in couples in which one partner has T2D. Data came from the Lifelines cohort study. The actor-partner interdependence model was applied to cross-sectional data from 1133 couples in which only one partner had T2D. The physical activity of the person with diabetes was inversely associated with his/her partner's BMI. However, partner physical activity was not associated with the BMI of the person with diabetes. These results suggest that people with diabetes may influence the BMI of their partners. Future research should consider how people with diabetes influence the health outcomes of their partners, which is an area that is often overlooked in the literature., Author(s): Rachel J. Burns [sup.1] , Jennifer Fillo [sup.2] , Sonya S. Deschênes [sup.3] [sup.4] , Norbert Schmitz [sup.3] [sup.4] [sup.5] Author Affiliations: (1) grid.34428.39, 0000 0004 1936 893X, Department [...]

To investigate the cross-sectional association between depressive symptoms and metabolic risk factors with cognitive function in a middle-aged population. A stratified subsample of the CARTaGENE (CaG) cohort (n = 1991) was used to compare cognitive function outcomes between groups. The stratification was based on the presence of depressive symptoms and metabolic dysregulation (MetD): the presence of a) neither condition (reference group); b) MetD only; c) depressive symptoms only; and d) both depressive symptoms and MetD. Individuals with type 2 diabetes were excluded. Three cognitive domains were assessed: processing speed, episodic memory, and executive function. An overall cognitive function score, standardized for age and education, was computed. Poor cognitive function was defined as the lower quartile of the overall cognitive function distribution. Linear and logistic regression analyses were conducted. The poorest cognitive performance was observed in the group with both depressive symptoms and MetD, followed by the group with depressive symptoms only, then the group with MetD only and the reference group. Mean (SD) overall cognition scores for the four groups were −0.25 (1.13), −0.13 (1.05), 0.11 (0.90), and 0.15 (0.93), respectively. Linear regression analyses suggested a linear increase in cognitive function across groups. In the logistic regression analyses, the highest risk of poor cognitive function was observed in the comorbid (depressive symptoms and MetD) group (adjusted OR = 1.99, 95% CI 1.46, 2.71). Comorbidity of depressive symptoms and MetD was associated with reduced cognitive performance in middle-aged adults without diabetes. Poor cognitive function is a major public health concern and can be potentially prevented by targeting its modifiable risk factors. Metabolic dysregulation and depression have both been independently associated with poor cognitive function. Comorbidity of metabolic dysregulation and depressive symptoms is associated with an increased risk of poor cognitive function in middle-aged individuals. Future health interventions might benefit by screening for comorbidity in patients with poor cognitive function and by targeting depression and metabolic dysregulation together. [ABSTRACT FROM AUTHOR]

Objectives: Little is known about temporal trajectories of social support in adults with type 2 diabetes (T2D) and how they are associated with diabetes-related outcomes. This study identified and explored different trajectories of social support in a community sample of adults with T2D, as well as the extent to which different trajectories were prospectively associated with depressive symptoms and functional disability.Methods: Data came from five annual waves of the Evaluation of Diabetes Treatment study (N = 1077). Social support, depressive symptoms, and functional disability were assessed via self-report. Separate analyses were conducted to examine the associations between social support trajectories, depressive symptoms, and functional disability, adjusting for demographic characteristics, diabetes-related covariates, and baseline depressive symptoms and functional disability.Results: Latent class growth modeling identified four distinct social support trajectories. Trajectory Groups 1 and 2 comprised participants with persistently low and persistently moderate-low social support, respectively. Trajectory Groups 3 and 4 included participants with persistently moderate-high and persistently high social support, respectively. People with persistently low social support reported higher functional disability relative to those with persistently moderate-high and persistently high social support.Conclusions: The findings of the present study indicate that temporal patterns of social support are a predictor of future functional disability among adults with T2D. [ABSTRACT FROM AUTHOR]