Abstract:Background-Depression occurs in 5−10% of older adults and there are nearly 6 million informal caregivers aged 65 or older. Prior research has focused on vulnerability to psychological distress in caregivers. Research has not addressed the caregiving burden of depressed elderly patients or how that burden affects depression treatment outcomes.
“…Higher scores are indicative of more depressive symptoms and poorer mental health. Insofar as the EURO-D scores were skewed, as usually occurs, we employed a log transformation of the score in the current analysis (Tabachnick and Fidell 2013;Cornwell and Laumann 2015).…”
This study examined different components of personal social networks-structure, interaction, and quality-and the extent to which each is related to mental health among a 65+ sample ( = 26,784) taken from the fourth wave of the Survey of Health, Ageing, and Retirement in Europe. The first aim of the study was to determine which network components had the strongest associations with the number of depressive symptoms, measured on the EURO-D scale. Secondly, the study considered if and how age impacted the associations between social network and depression, using interaction terms that paired age category (age 65-79; age 80+) with the score on each network component. Hierarchical OLS regressions revealed that social network quality and network structure were both negatively related to the number of depressive symptoms. The association between network size (structure) and depression was even greater among those 80+. Age differences were also found for network interaction. More frequent contact with the network was related to a greater extent of depressive symptoms, but only among respondents aged 80 and older. Closer geographic proximity was related to having fewer depressive symptoms, but only among respondents aged 65-79. The findings imply that the association between meaningful personal relationships and depression in late life is nuanced by both network characteristics and by age.
“…Higher scores are indicative of more depressive symptoms and poorer mental health. Insofar as the EURO-D scores were skewed, as usually occurs, we employed a log transformation of the score in the current analysis (Tabachnick and Fidell 2013;Cornwell and Laumann 2015).…”
This study examined different components of personal social networks-structure, interaction, and quality-and the extent to which each is related to mental health among a 65+ sample ( = 26,784) taken from the fourth wave of the Survey of Health, Ageing, and Retirement in Europe. The first aim of the study was to determine which network components had the strongest associations with the number of depressive symptoms, measured on the EURO-D scale. Secondly, the study considered if and how age impacted the associations between social network and depression, using interaction terms that paired age category (age 65-79; age 80+) with the score on each network component. Hierarchical OLS regressions revealed that social network quality and network structure were both negatively related to the number of depressive symptoms. The association between network size (structure) and depression was even greater among those 80+. Age differences were also found for network interaction. More frequent contact with the network was related to a greater extent of depressive symptoms, but only among respondents aged 80 and older. Closer geographic proximity was related to having fewer depressive symptoms, but only among respondents aged 65-79. The findings imply that the association between meaningful personal relationships and depression in late life is nuanced by both network characteristics and by age.
“…34 Additional risk factors that are particularly important in older adults include loss and grief, 35 social isolation or limited social support, 36 high degrees of family conflict, 37,38 and care-taking responsibilities. 39 Other risk factors that increase the likelihood of depression in the medically ill elderly include presence of cognitive impairment, age greater than 75, active alcohol abuse, and lower educational attainment. 40-49
Table 1 summarized the risk factors for depression in older adults.…”
Synopsis
Depression is among the leading causes of decreased disability-adjusted life years in the world1 and a serious public health problem.2 Older adults with DM experience greater risk for comorbid depression compared to those who do not have DM.3 Having DM increases the risk of subsequent development or recurrence of depression. Conversely, history of depression increases the risk for new onset DM.4 As an unwanted co-traveler of DM, undetected, untreated or undertreated depression impinges an individual’s ability to manage their DM successfully, hindering their adherence to treatment regime.5 It also undermines the effectiveness of provider-patient communication and decays therapeutic relationships. Thus, in the context of caring for older adults with DM, comorbid depression presents special challenges and opportunities for clinicians. Moreover, recent studies have suggested that co-occurring depression and DM may accelerate cognitive decline, highlighting the importance of treating depression and DM. Several treatment modalities are available, which can be used to treat and manage depression in primary care settings: pharmaceutical, brief psychotherapeutic, behavioral and life style interventions, and combination therapies. An evidence-based health care delivery model is also available for treating depression in primary care settings. In this article, we summarize the clinical presentation of late-life depression, potential mechanisms of comorbidity of depression and DM, importance of depression in the successful management of DM, and available best practice models for depression treatment.
“…118 The emotional and physical toll that informal caregiving has on the caregivers also affects caregiver family and social network functioning, and leads to poorer outcomes and disease trajectories as well as increased use of health care services. 112,119-121 Literature documents the impact affective disorders have on those in the depressed individual’s life, especially spouses and partners, family caregivers, and young children who may reside in the household.…”
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