The association of avoidance coping style, and perceived mother and father support with anxiety/depression among late adolescents : Applicability of resiliency models
- Gomez, Rapson, McLaren, Suzanne
- Authors: Gomez, Rapson , McLaren, Suzanne
- Date: 2006
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 40, no. 6 (2006), p. 1165-1176
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- Description: This study examined the applicability of the compensatory, the risk-protective, the challenge, and the protective-protective models of resiliency for the prediction of anxiety/depression from avoidance coping style (the risk factor) and perceived mother and father support (the protective factors). A total of 331 participants, with age ranging from 18 to 20 years, completed self-rating questionnaires covering perceived mother support, perceived father support, avoidance coping style, and anxiety/depression. Results showed that for perceived mother support as the protective factor, there was support for the compensatory, the risk-protective, and the challenge models. With perceived father support as the protective factor, there was support for the compensatory and challenge models. When both perceived mother and father support were considered together, there was support for the protective-protective model. © 2005 Published by Elsevier Ltd.
- Description: C1
- Description: 2003002027
- Authors: Gomez, Rapson , McLaren, Suzanne
- Date: 2006
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 40, no. 6 (2006), p. 1165-1176
- Full Text:
- Reviewed:
- Description: This study examined the applicability of the compensatory, the risk-protective, the challenge, and the protective-protective models of resiliency for the prediction of anxiety/depression from avoidance coping style (the risk factor) and perceived mother and father support (the protective factors). A total of 331 participants, with age ranging from 18 to 20 years, completed self-rating questionnaires covering perceived mother support, perceived father support, avoidance coping style, and anxiety/depression. Results showed that for perceived mother support as the protective factor, there was support for the compensatory, the risk-protective, and the challenge models. With perceived father support as the protective factor, there was support for the compensatory and challenge models. When both perceived mother and father support were considered together, there was support for the protective-protective model. © 2005 Published by Elsevier Ltd.
- Description: C1
- Description: 2003002027
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.
- Gomez, Rapson, Vance, Alasdair, Gomez, Andre
- Authors: Gomez, Rapson , Vance, Alasdair , Gomez, Andre
- Date: 2012
- Type: Text , Journal article
- Relation: Psychological Assessment Vol. 24, no. 1 (2012), p. 1-10
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- Description: In the study, the authors examined the measurement (configural, factor loadings, thresholds, and error variances) and structural (factor variances, covariances, and mean scores) invariance of the Children's Depression Inventory (CDI; Kovacs, 1992) across ratings provided by clinic-referred children and adolescents with (N = 383) and without (N = 412) depressive disorders. Multiple-group confirmatory factor analysis of the Craighead, Smucker, Craighead, and Ilardi (1998) CDI model supported full measurement invariance and invariance for structural variances and covariances. Invariance for thresholds was also supported by multiple indicators multiple causes (MIMIC) procedures that controlled for the effects of age; sex; and the presence or absence of anxiety disorders, attention-deficit/hyperactivity disorder, and oppositional defiant/conduct disorders. The MIMIC analyses showed that for latent mean scores, the group with depressive disorders had higher scores, with at least medium effect sizes, for Self-Deprecation and Biological Dysregulation. The theoretical, psychometric, and clinical implications of the findings are discussed. © 2011 American Psychological Association.
Growth mixture modeling of depression symptoms following traumatic brain injury
- Gomez, Rapson, Skilbeck, Clive, Thomas, Matt, Slatyer, Mark
- Authors: Gomez, Rapson , Skilbeck, Clive , Thomas, Matt , Slatyer, Mark
- Date: 2017
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 8, no. AUG (2017), p. 1-14
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- Description: Growth Mixture Modeling (GMM) was used to investigate the longitudinal trajectory of groups (classes) of depression symptoms, and how these groups were predicted by the covariates of age, sex, severity, and length of hospitalization following Traumatic Brain Injury (TBI) in a group of 1074 individuals (696 males, and 378 females) from the Royal Hobart Hospital, who sustained a TBI. The study began in late December 2003 and recruitment continued until early 2007. Ages ranged from 14 to 90 years, with a mean of 35.96 years (SD = 16.61). The study also examined the associations between the groups and causes of TBI. Symptoms of depression were assessed using the Hospital Anxiety and Depression Scale within 3 weeks of injury, and at 1, 3, 6, 12, and 24 months post-injury. The results revealed three groups: low, high, and delayed depression. In the low group depression scores remained below the clinical cut-off at all assessment points during the 24-months post-TBI, and in the high group, depression scores were above the clinical cut-off at all assessment points. The delayed group showed an increase in depression symptoms to 12 months after injury, followed by a return to initial assessment level during the following 12 months. Covariates were found to be differentially associated with the three groups. For example, relative to the low group, the high depression group was associated with more severe TBI, being female, and a shorter period of hospitalization. The delayed group also had a shorter period of hospitalization, were younger, and sustained less severe TBI. Our findings show considerable fluctuation of depression over time, and that a non-clinical level of depression at any one point in time does not necessarily mean that the person will continue to have non-clinical levels in the future. As we used GMM, we were able to show new findings and also bring clarity to contradictory past findings on depression and TBI. Consequently, we recommend the use of this approach in future studies in this area. © 2017 Gomez, Skilbeck, Thomas and Slatyer.
- Authors: Gomez, Rapson , Skilbeck, Clive , Thomas, Matt , Slatyer, Mark
- Date: 2017
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 8, no. AUG (2017), p. 1-14
- Full Text:
- Reviewed:
- Description: Growth Mixture Modeling (GMM) was used to investigate the longitudinal trajectory of groups (classes) of depression symptoms, and how these groups were predicted by the covariates of age, sex, severity, and length of hospitalization following Traumatic Brain Injury (TBI) in a group of 1074 individuals (696 males, and 378 females) from the Royal Hobart Hospital, who sustained a TBI. The study began in late December 2003 and recruitment continued until early 2007. Ages ranged from 14 to 90 years, with a mean of 35.96 years (SD = 16.61). The study also examined the associations between the groups and causes of TBI. Symptoms of depression were assessed using the Hospital Anxiety and Depression Scale within 3 weeks of injury, and at 1, 3, 6, 12, and 24 months post-injury. The results revealed three groups: low, high, and delayed depression. In the low group depression scores remained below the clinical cut-off at all assessment points during the 24-months post-TBI, and in the high group, depression scores were above the clinical cut-off at all assessment points. The delayed group showed an increase in depression symptoms to 12 months after injury, followed by a return to initial assessment level during the following 12 months. Covariates were found to be differentially associated with the three groups. For example, relative to the low group, the high depression group was associated with more severe TBI, being female, and a shorter period of hospitalization. The delayed group also had a shorter period of hospitalization, were younger, and sustained less severe TBI. Our findings show considerable fluctuation of depression over time, and that a non-clinical level of depression at any one point in time does not necessarily mean that the person will continue to have non-clinical levels in the future. As we used GMM, we were able to show new findings and also bring clarity to contradictory past findings on depression and TBI. Consequently, we recommend the use of this approach in future studies in this area. © 2017 Gomez, Skilbeck, Thomas and Slatyer.
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