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Background: Few studies have directly compared the effects of different exercise therapies on clinical depression in older adults. Thus, we conducted a systematic review and network meta-analysis of current evidence from randomised controlled trials (RCTs) to compare the effectiveness of three major exercise types (aerobic, resistance, and mind-body exercise) in clinically depressed older adults., Methods: We followed PRISMA-NMA guidelines and searched databases for eligible RCTs (inception - September 12 th , 2019). RCTs were eligible if they included clinically depressed adults aged >65 years, implemented one or more exercise therapy arms using aerobic, resistance, or mind-body exercise, and assessed depressive symptoms at baseline and follow-up using a validated clinical questionnaire., Results: A network meta-analysis was performed on 15 eligible RCTs comprising 596 participants (321 treatment and 275 controls), including aerobic (n = 6), resistance (n = 5), and mind-body (n = 4) exercise trials. Compared with controls, mind-body exercise showed the largest improvement on depressive symptoms (g = -0.87 to -1.38), followed by aerobic exercise (g = -0.51 to -1.02), and resistance exercise (g = -0.41 to -0.92). Notably, there were no statistically significant differences between exercise types: aerobic versus resistance (g = -0.10, PrI = -2.23, 2.03), mind-body versus aerobic (g = -0.36, PrI = -2.69, 1.97), or mind-body versus resistance (g = -0.46, PrI = -2.75, 1.83)., Conclusions: These findings should guide optimal exercise prescription for allied health professionals and stakeholders in clinical geriatrics. Notably, clinically depressed older adults may be encouraged to self-select their preferred exercise type in order to achieve therapeutic benefit on symptoms of depression. In coalition with high levels of compliance, these data provide encouraging evidence for the antidepressant effect of either aerobic, resistance, or mind-body exercise as effective treatment adjucts for older adults presenting with clinical depression., Competing Interests: Declaration of competing interest None., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Social connections are crucial for an individual's health, wellbeing, and overall effective functioning. During the COVID-19 pandemic, one major preventative effort for reducing the spread of COVID-19 involved restricting people's typical social interactions through physical distancing and isolation. The current cross-sectional study, conducted during the COVID-19 pandemic, explored the relationship among fear of COVID-19, social connectedness, resilience, depressive symptomologies, and self-perceived stress. Participants (N = 174) completed an anonymous, online questionnaire, and results indicated that social connectedness mediated the relationship between fear of COVID-19 and psychological wellbeing. In contrast, the relationship between fear of COVID-19 and psychological wellbeing was not mediated by resilience. These findings highlight the important role that social connections and resilience play in buffering against negative psychological wellbeing outcomes, especially during a pandemic. [ABSTRACT FROM AUTHOR]

Background: Depression is a chronic condition that affects up to 15% of older adults. The healthogenic effects of regular exercise are well established, but it is still unclear which exercise-related variables characterise the antidepressant effects of exercise. Thus, the purpose of this study was to examine the extent to which exercise-related variables (exercise behaviour, exercise-induced mood, exercise self-efficacy, and social support) can predict depressive symptoms in a cohort of community-dwelling older adults. Methods: This study employed a cross-sectional analysis of questionnaire data from a sample of 586 community-dwelling older Australians aged 65 to 96 years old. Participants completed the Center for Epidemiologic Studies Depression Scale, modified CHAMPS Physical Activity Questionnaire for Older Adults, Four-Dimension Mood Scale, Self-Efficacy for Exercise Scale, and Social Provisions Scale – Short Form. Bivariate correlations were performed, and hierarchical multiple regression was subsequently used to test the regression model. Results: Exercise behaviour, exercise-induced mood, exercise self-efficacy, and social support were all negatively associated with depressive symptoms (r = −0.20 to −0.56). When the variables were entered as predictors into the hierarchical multiple regression model, social support was the strongest predictor of depressive symptoms (β = −0.42), followed by exercise-induced mood (β = −0.23), and exercise self-efficacy (β = −0.07). Exercise behaviour did not explain any additional variance in depressive symptoms. A modest interaction effect was also observed between exercise-induced mood and social support. Conclusion: These findings indicate that social support is the strongest predictor of depressive symptomology in community-dwelling older adults, particularly when combined with positive exercise-induced mood states. When addressing the needs of older adults at risk of depression, healthcare professionals should consider the implementation of exercise programmes that are likely to benefit older adults by improving mood, enhancing self-efficacy, and building social support. [ABSTRACT FROM AUTHOR]