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Social isolation, loneliness and their relationships with depressive symptoms: A population-based study.

ABSTRACT: To assess the relationship between various social isolation indicators and loneliness, and to examine the differential associations that social isolation indicators, loneliness have with depressive symptoms.Baseline data for 1,919 adults (aged 21 years and above) from a representative health survey in the Central region of Singapore was used for this study. The association between social isolation indicators (marital status, living arrangement, social connectedness with relatives and friends) and loneliness (the three-item UCLA Loneliness) were assessed, and their differential associations with depressive symptoms (the Patient Health Questionnaire-9) were examined using multiple linear regression, controling for relevant covariates.There was significant overlap between loneliness and social isolation. Social connectedness with relatives and friends were mildly correlated with loneliness score (|r| = 0.14~0.16). Social isolation in terms of weak connectedness with relatives and with friends and loneliness were associated with depressive symptoms even after controling for age, gender, employment status and other covariates. The association of loneliness with depressive symptoms (? = 0.33) was independent of and stronger than that of any social isolation indicators (|?| = 0.00~0.07).The results of the study establishes a significant and unique association of different social isolation indicators and loneliness with depressive symptoms in community-dwelling adults aged 21 and above.

SUBMITTER: Ge L

PROVIDER: S-EPMC5568112 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Social isolation, loneliness and their relationships with depressive symptoms: A population-based study.

Ge Lixia L Yap Chun Wei CW Ong Reuben R Heng Bee Hoon BH

PloS one 20170823 8

<h4>Objectives</h4>To assess the relationship between various social isolation indicators and loneliness, and to examine the differential associations that social isolation indicators, loneliness have with depressive symptoms.<h4>Methods</h4>Baseline data for 1,919 adults (aged 21 years and above) from a representative health survey in the Central region of Singapore was used for this study. The association between social isolation indicators (marital status, living arrangement, social connected ...[more]

PMID: 28832594

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Project description:BackgroundLoneliness is experienced by a third of older adults in the UK and is a modifiable potential risk factor for depressive symptoms. It is unclear how the association between loneliness and depressive symptoms persists over time, and whether it is independent of related social constructs and genetic confounders. We aimed to investigate the association between loneliness and depressive symptoms, assessed on multiple occasions during 12 years of follow-up, in a large, nationally representative cohort of adults aged 50 years and older in England.MethodsWe did a longitudinal study using seven waves of data that were collected once every 2 years between 2004 and 2017, from adults aged 50 years and older in the English Longitudinal Study of Ageing (ELSA). The exposure was loneliness at baseline (wave two), measured with the short 1980 revision of the University of California, Los Angeles Loneliness Scale (R-UCLA). The primary outcome was a score indicating severity of depression measured at six subsequent timepoints (waves three to eight), using the eight-item version of the Centre for Epidemiologic Studies Depression Scale (CES-D). Analyses were linear multilevel regressions, before and after adjusting for social isolation, social support, polygenic risk scores, and other sociodemographic and health-related confounders. The secondary outcome was depression diagnosis, measured using a binary version of the CES-D.Findings4211 (46%) of 9171 eligible participants had complete data on exposure, outcome, and confounders, and were included in our complete case sample. After all adjustments, a 1-point increase in loneliness score was associated with a 0·16 (95% CI 0·13-0·19) increase in depressive symptom severity score (averaged across all follow-ups). We estimated a population attributable fraction for depression associated with loneliness of 18% (95% CI 12-24) at 1 year of follow-up and 11% (3-19) at the final follow-up (wave eight), suggesting that 11-18% of cases of depression could potentially be prevented if loneliness were eliminated. Associations between loneliness and depressive symptoms remained after 12 years of follow-up, although effect sizes were smaller with longer follow-up.InterpretationIrrespective of other social experiences, higher loneliness scores at baseline were associated with higher depression symptom severity scores during 12 years of follow-up among adults aged 50 years and older. Interventions that reduce loneliness could prevent or reduce depression in older adults, which presents a growing public health problem worldwide.FundingNational Institute on Aging and a consortium of UK Government departments coordinated by the National Institute for Health Research.

Project description:BackgroundSupportive living (SL) facilities are intended to provide a residential care setting in a less restrictive and more cost-effective way than nursing homes (NH). SL residents with poor social relationships may be at risk for increased health service use. We describe the demographic and health service use patterns of lonely and socially isolated SL residents and to quantify associations between loneliness and social isolation on unplanned emergency department (ED) visits.MethodsWe conducted a retrospective cohort study using population-based linked health administrative data from Alberta, Canada. All SL residents aged 18 to 105 years who had at least one Resident Assessment Instrument-Home Care (RAI-HC) assessment between April 1, 2013 and March 31, 2018 were observed. Loneliness and social isolation were measured as a resident indicating that he/she feels lonely and if the resident had neither a primary nor secondary caregiver, respectively. Health service use in the 1 year following assessment included unplanned ED visits, hospital admissions, admission to higher levels of SL, admission to NH and death. Multivariable Cox proportional hazard models examined the association between loneliness and social isolation on the time to first unplanned ED visit.ResultsWe identified 18,191 individuals living in Alberta SL facilities. The prevalence of loneliness was 18% (n = 3238), social isolation was 4% (n = 713). Lonely residents had the greatest overall health service use. Risk of unplanned ED visit increased with loneliness (aHR = 1.10, 95% CI: 1.04-1.15) but did not increase with social isolation (aHR = 0.95, 95% CI: 0.84-1.06).ConclusionsLonely residents had a different demographic profile (older, female, cognitively impaired) from socially isolated residents and were more likely to experience an unplanned ED visit. Our findings suggest the need to develop interventions to assist SL care providers with how to identify and address social factors to reduce risk of unplanned ED visits.

Project description:ObjectiveWe aimed to investigate the causal relationships between social isolation and osteoarthritis.MethodsPublicly available genome-wide association study (GWAS) summary statistics of social isolation and osteoarthritis in European population were obtained from the Neale lab Consortium and the Medical Research Council-Integrative Epidemiology Unit (MRC-IEU) consortium, respectively. Single nucleotide polymorphisms (SNPs) associated with the traits were identified by P < 5×10-8 and linkage disequilibrium r2 < 0.1. Three Mendelian randomization (MR) methods including the inverse-variance weighted (IVW) method, weighted median estimator, and MR-Egger regression were used to assess the potential causal effect of social isolation on osteoarthritis and the potential causal effect of osteoarthritis on social isolation. Leave-one-out analysis and test of directional horizontal pleiotropy via MR-Egger regression were performed as sensitivity analyses.ResultsWhen evaluating the causal effect of social isolation on osteoarthritis, five SNPs (rs12364432, rs13291079, rs2352075, rs4958586, rs599550) significantly associated with social isolation were studied as instruments, and social isolation was found to be causally associated with increased risk of osteoarthritis (odds ratio [OR] 1.197 (95% confidence interval (CI) 1.096-1.308) estimated by the IVW method). When evaluating the causal effect of osteoarthritis on social isolation, six SNPs (rs10405617, rs12133235, rs13107325, rs2290573, rs3771501, rs75621460) significantly associated with osteoarthritis were studied as instruments but no causal effect of osteoarthritis on social isolation was found (OR 1.104 (95% CI 0.887-1.375) estimated by the IVW method). Consistent causal relationships were observed when estimated by the weighted median estimator and MR-Egger regression. Leave-one-out analysis and test of directional horizontal pleiotropy suggested the robustness of the above findings.ConclusionSocial isolation is causally associated with osteoarthritis, and further work is needed to investigate the potential mechanisms.

Dataset Information

Social isolation, loneliness and their relationships with depressive symptoms: A population-based study.

Publications

Social isolation, loneliness and their relationships with depressive symptoms: A population-based study.

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