Exercise, mood, self-efficacy, and social support as predictors of depressive symptoms in older adults : Direct and interaction effects
- Miller, Kyle, Mesagno, Christopher, McLaren, Suzanne, Grace, Fergal, Yates, Mark, Gomez, Rapson
- Authors: Miller, Kyle , Mesagno, Christopher , McLaren, Suzanne , Grace, Fergal , Yates, Mark , Gomez, Rapson
- Date: 2019
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 10, no. (2019), p. 1-11
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- Description: 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 (beta = -0.42), followed by exercise-induced mood (beta = -0.23), and exercise self-efficacy (beta = -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.
- Authors: Miller, Kyle , Mesagno, Christopher , McLaren, Suzanne , Grace, Fergal , Yates, Mark , Gomez, Rapson
- Date: 2019
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 10, no. (2019), p. 1-11
- Full Text:
- Reviewed:
- Description: 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 (beta = -0.42), followed by exercise-induced mood (beta = -0.23), and exercise self-efficacy (beta = -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.
Aerobic, resistance, and mind-body exercise are equivalent to mitigate symptoms of depression in older adults: A systematic review and network meta-analysis of randomised controlled trials
- Miller, Kyle, Areerob, Pinyadapat, Hennessy, Declan, Gonçalves-Bradley, Daniela, Mesagno, Christopher, Grace, Fergal
- Authors: Miller, Kyle , Areerob, Pinyadapat , Hennessy, Declan , Gonçalves-Bradley, Daniela , Mesagno, Christopher , Grace, Fergal
- Date: 2020
- Type: Text , Journal article
- Relation: F1000Research Vol. 9, no. (2020), p. 1-51
- Full Text:
- Reviewed:
- Description: Background: Exercise has been identified as an allied health strategy that can support the management of depression in older adults, yet the relative effectiveness for different exercise modalities is unknown. To meet this gap in knowledge, we present a systematic review and network meta-analysis of randomised controlled trials (RCTs) to examine the head-to-head effectiveness of aerobic, resistance, and mind-body exercise to mitigate depressive symptoms in adults aged ≥ 65 years. Methods: A PRISMA-NMA compliant review was undertaken on RCTs from inception to September 12 th, 2019. PubMed, Web of Science, CINAHL, Health Source: Nursing/Academic Edition, PsycARTICLES, PsycINFO, and SPORTDiscus were systematically searched for eligible RCTs enrolling adults with a mean age ≥ 65 years, comparing one or more exercise intervention arms, and which used valid measures of depressive symptomology. Comparative effectiveness was evaluated using network meta-analysis to combine direct and indirect evidence, controlling for inherent variation in trial control groups. Results: The systematic review included 81 RCTs, with 69 meeting eligibility for the network meta-analysis ( n = 5,379 participants). Pooled analysis found each exercise type to be effective compared with controls (Hedges' g = -0.27 to -0.51). Relative head-to-head comparisons were statistically comparable between exercise types: resistance versus aerobic (Hedges' g = -0.06, PrI = -0.91, 0.79), mind-body versus aerobic (Hedges' g = -0.12, PrI = -0.95, 0.72), mind-body versus resistance (Hedges' g = -0.06, PrI = -0.90, 0.79). High levels of compliance were demonstrated for each exercise treatment. Conclusions: Aerobic, resistance, and mind-body exercise demonstrate equivalence to mitigate symptoms of depression in older adults aged ≥ 65 years, with comparably encouraging levels of compliance to exercise treatment. These findings coalesce with previous findings in clinically depressed older adults to encourage personal preference when prescribing exercise for depressive symptoms in older adults, irrespective of severity. Registration: PROSPERO CRD42018115866 (23/11/2018). © 2020 Miller KJ et al.
- Authors: Miller, Kyle , Areerob, Pinyadapat , Hennessy, Declan , Gonçalves-Bradley, Daniela , Mesagno, Christopher , Grace, Fergal
- Date: 2020
- Type: Text , Journal article
- Relation: F1000Research Vol. 9, no. (2020), p. 1-51
- Full Text:
- Reviewed:
- Description: Background: Exercise has been identified as an allied health strategy that can support the management of depression in older adults, yet the relative effectiveness for different exercise modalities is unknown. To meet this gap in knowledge, we present a systematic review and network meta-analysis of randomised controlled trials (RCTs) to examine the head-to-head effectiveness of aerobic, resistance, and mind-body exercise to mitigate depressive symptoms in adults aged ≥ 65 years. Methods: A PRISMA-NMA compliant review was undertaken on RCTs from inception to September 12 th, 2019. PubMed, Web of Science, CINAHL, Health Source: Nursing/Academic Edition, PsycARTICLES, PsycINFO, and SPORTDiscus were systematically searched for eligible RCTs enrolling adults with a mean age ≥ 65 years, comparing one or more exercise intervention arms, and which used valid measures of depressive symptomology. Comparative effectiveness was evaluated using network meta-analysis to combine direct and indirect evidence, controlling for inherent variation in trial control groups. Results: The systematic review included 81 RCTs, with 69 meeting eligibility for the network meta-analysis ( n = 5,379 participants). Pooled analysis found each exercise type to be effective compared with controls (Hedges' g = -0.27 to -0.51). Relative head-to-head comparisons were statistically comparable between exercise types: resistance versus aerobic (Hedges' g = -0.06, PrI = -0.91, 0.79), mind-body versus aerobic (Hedges' g = -0.12, PrI = -0.95, 0.72), mind-body versus resistance (Hedges' g = -0.06, PrI = -0.90, 0.79). High levels of compliance were demonstrated for each exercise treatment. Conclusions: Aerobic, resistance, and mind-body exercise demonstrate equivalence to mitigate symptoms of depression in older adults aged ≥ 65 years, with comparably encouraging levels of compliance to exercise treatment. These findings coalesce with previous findings in clinically depressed older adults to encourage personal preference when prescribing exercise for depressive symptoms in older adults, irrespective of severity. Registration: PROSPERO CRD42018115866 (23/11/2018). © 2020 Miller KJ et al.
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