Prognostic significance of social network, social support and loneliness for course of major depressive disorder in adulthood and old age

Brink, Rob H. S. van den; Schutter, Natasja; Hanssen, Denise; Elzinga, Bernet M.; Rabeling-Keus, Inge M; Stek, Max L.; Comijs, Hannie C.; Penninx, Brenda W. J. H.; Voshaar, Richard C. Oude

doi:10.1017/s2045796017000014

Cited by 84 publications

(75 citation statements)

References 48 publications

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“…Based on a sample from a large community-dwelling adult cohort in South Korea, this study investigated the association between depressive symptoms and the quantity (number of network members) and quality (average intimacy) of social networks. The results for qualitative aspects replicated previous findings that a low level of perceived emotional support is a risk factor for depression [19]. However, with respect to quantitative aspects, the study found that smaller social network size did not necessarily mean increased prevalence of depressive symptoms.…”

Section: Discussionsupporting

confidence: 85%

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Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms

Heo¹,

Jung²,

Youm³

et al. 2020

Preprint

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Background This study explores the association between the size and intimacy of an individual’s social network with depressive symptoms, considering age diversity and age difference in the general adult population in South Korea. Methods We utilized data from a population of 2,363 in the Cardiovascular and Metabolic Disease Etiology Research Center cohort. Each participant’s social network properties and social support status were measured using the egocentric social network analysis tool. Depressive symptoms were assessed using the Beck Depression Inventory-II. Multivariable logistic regression was used to compute odds ratios (ORs) for depression by different social network characteristics. Results Overall, network size and mean intimacy were both associated with depressive symptoms; however, the combination of the two showed different association patterns with depressive symptoms by gender. Compared to those with both a larger network size and higher average intimacy in the network, only women showed significantly increased ORs for depression with decreases in either the size or the intimacy of the network. This tendency was prominent in women whose social networks had high age diversity or members mainly older than themselves. Limitations Depressive symptoms were measured according to self-assessed levels of depressive symptoms during the previous two weeks, which do not necessarily indicate depressive disorder. Conclusion The social network characteristics of size and intimacy associated differently with depressive symptoms by gender. In women whose social networks had high age diversity, smaller-sized and less intimate networks increased the likelihood of depression.

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Section: Discussionsupporting

confidence: 85%

“…Some factors of social networks may be more influential due to a synergistic effect, and others less important, as they can be complemented [19]. Thus, assessing social network variables separately makes it difficult to distinguish which of those variables are crucial.…”

Section: Introductionmentioning

confidence: 99%

Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms

Heo¹,

Jung²,

Youm³

et al. 2020

Preprint

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“…Older adults can enjoy close communication, interaction, and companionship of neighbors and generate positive emotions, friendship and a sense of meaning and reduce their loneliness. Studies have shown that these positive emotions can help prevent depressive symptoms in the elderly [43,44].…”

Section: Association Between Functional Disability and Depressive Symmentioning

confidence: 99%

Association between functional disability and depressive symptoms among older adults in rural China: a cross-sectional study

Rong

Wang

et al. 2020

Preprint

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Background: The association between functional disability and depressive symptoms among elderly people in rural China is not clear. This study explored the relationship between functional disability and depressive symptoms, focusing on whether an interactive association between functional disability, demographic characteristics and depressive symptoms exists among older adults in rural Anhui, China.Methods: A cross-sectional survey study was conducted with multi-stage stratified random sampling. The 30-item Geriatric Depression Scale and WHO Disability Assessment Schedule 2.0 were used to evaluate depressive symptoms and functional disability, respectively. The data were analyzed using SPSS statistics 25.0 program with chi-square test, Mann-Whitney U test, binary logistic regression analysis, and classification and regression tree model.Results: The prevalence of depressive symptoms in 3336 older people was 52.94%. After adjustment, subjects who had problems in participation (adjusted odds ratio [AOR]=3.499, 95% confidence interval [CI]: 2.385-4.987), life activities (AOR=1.683, 95% CI: 1.370-2.066), getting along (AOR=1.616, 95% CI: 1.299-2.010), and mobility (AOR=1.842, 95% CI: 1.503-2.258) had an increased depressive symptoms risk. However, cognition (AOR=0.785, 95% CI: 0.647-0.953) negatively correlated with depressive symptoms. Additionally, the interactive association between functional disability dimensions, various variables and depressive symptoms were identified for the first time. Those who had problems in mobility, getting along and were unemployed, the possibility of having depressive symptoms was the highest.Conclusions: Special attention should be paid to unemployed older adults, and those with problems in participation, life activities, getting along, and mobility and no problems in cognition to maintain a good psychological state. Our findings may be greatly significant for developing more targeted and effective mental health prevention and intervention measures for older adults in rural areas.

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“…Loneliness feelings (i.e. feeling lonely) are associated with symptom severity and poor depression prognosis in older age . Some evidence supports that loneliness may be involved in endocrine (e.g.…”

Section: Discussionmentioning

confidence: 99%

Stability of clinically relevant depression symptoms in old‐age across 11 cohorts: a multi‐state study

Torre‐Luque

Sánchez-Niubò

et al. 2019

Acta Psychiatr Scand

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Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study de la Torre-Luque A, de la Fuente J, Sanchez-Niubo A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study.Aims: To study the temporal dynamics of depression symptom episodes in old-age and the related influence of risk factors. Methods: Data from 41 362 old adults (54.61% women; mean age = 75.30, SD = 6.20) from the Ageing Trajectories of Health -Longitudinal Opportunities and Synergies (ATHLOS) project were used. Depressive symptoms were followed over an 18-year period. A multi-state model, comprising three statuses (no depression, new clinically relevant episode of symptoms and episode persistence), was fitted. Multinomial regression was used to study the role of risk factors in status transition. Results: Almost 85% of participants showed no depression, but prevalence became lower over time (B = À0.25, P < 0.001). New episode point prevalence was over 5.30% with a significant probability of moving to persistence status (transition probability = 0.27). Episode persistence became evident in 9.86% of episode status transitions, with increasing rate over time (B = 0.54, P < 0.01). Loneliness was proven to be the strongest predictor of episode emergence (OR = 17.76) and persistence (OR = 5.93). Conclusions: The course of depression tends to become chronic and unremitting in old-age. This study may help to plan interventions to tackle symptom escalation and risk factor influence. Significant outcomes• Most of older adults did not show any episode of clinically relevant symptoms of depression over time.• Almost one in four older individuals who showed a first episode of symptoms showed either episode persistence or episode recurrence later in life.• Loneliness was the most relevant factor in predicting symptom episode emergence and persistence. Limitations• This is an epidemiological study focused on providing a coarse-grained picture of late-life depression symptom dynamics.• Despite our large sample from multiple countries across the globe, cultural issues were not controlled in this study.

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Prognostic significance of social network, social support and loneliness for course of major depressive disorder in adulthood and old age

Cited by 84 publications

References 48 publications

Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms

Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms

Association between functional disability and depressive symptoms among older adults in rural China: a cross-sectional study

Stability of clinically relevant depression symptoms in old‐age across 11 cohorts: a multi‐state study

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