The Association Between Loneliness and Psychiatric Symptomatology in Older Psychiatric Outpatients.

PURPOSE: Loneliness in adults increases with age. Although loneliness has been found to be associated with psychiatric disorders and dementia, no information is available on prevalence of loneliness in older psychiatric patients. The aims of this study were to examine prevalence of loneliness in older psychiatric outpatients, including gender differences and associations with psychiatric disorders and social isolation. METHODS: Cross-sectional study in an outpatient clinic for geriatric psychiatry between September 2013 and February 2018. Interviews were done in 181 patients. RESULTS: 80% of participants were lonely. Loneliness was associated with having contacts in less social network domains, in women but not in men. There were no associations with DSM-IV-TR-classifications. However, loneliness was associated with higher scores on questionnaires for depression and cognitive function. Intensity of treatment did not differ significantly between lonely and non-lonely participants. CONCLUSION: Loneliness is highly prevalent in older psychiatric outpatients, with men and women equally affected. Loneliness should be assessed in all older psychiatric patients, especially when they show high scores on symptom checklists or have a restricted social network.

Tolerability of lithium: A naturalistic discontinuation study in older inpatients (≥60 years).

OBJECTIVES: Lithium is one of the most effective treatment options in both bipolar disorder and treatment-resistant depression. The use of lithium in older patients declined during the last decades, probably resulting in undertreatment of older patients. To investigate how well lithium is tolerated in old age, we aimed to determine the frequency, reasons, and possible predictors of discontinuation due to adverse effects in a cohort of inpatients ≥60 years who had started with lithium. METHODS: We performed a retrospective cohort study based on chart reviews. Participants were in treatment at Parnassia Group at The Hague, The Netherlands. After inclusion (between January 2010 and December 2016), participants were followed until April 2017, when we performed data extraction and analysis. RESULTS: In our sample of 135 patients (median age 69 years, median follow-up duration 18 months), 49 (36.3%) participants discontinued lithium. Only a minority (11 [8.1%]) of the participants discontinued solely due to adverse effects. The majority discontinued lithium due to psychiatric (18, 5%) reasons (most commonly mentioned within this subgroup: lack of effectiveness and noncompliance) or a combination of reasons (7.4%). None of the factors we studied (age, gender, Charlson Comorbidity Index, polypharmacy, renal function, and neurological history) were significantly associated with discontinuation due to adverse effects. CONCLUSIONS: The frequency of lithium discontinuation in our cohort was in range with frequencies reported in younger patients. Older age itself should not be a reason to withhold lithium treatment.

Loneliness, social network size, and mortality in older adults and the role of cortisol.

BACKGROUND: Loneliness and social isolation have both been found to be associated with increased mortality in previous studies. One potential underlying mechanism is via the hypothalamic-pituitary-adrenal axis. OBJECTIVE: This study aimed to examine the association between social network size and cortisol, to analyze the associations between both loneliness and social network size and mortality, and to examine to what extent the association between network size and/or loneliness and mortality is mediated by cortisol. DESIGN: The study group consisted of 443 depressed and non-depressed participants of the Netherlands Study of Depression in the Elderly (NESDO). Cross-sectional analysis of the association between social network size and cortisol measures was followed by a survival analysis of the associations between both social network size and loneliness and mortality. RESULTS: There were no significant associations between social network size and cortisol measures. Loneliness and small social network size were not associated with mortality. Age and partner status were more important predictors of mortality. CONCLUSION: As people grow older the variety of factors that influence mortality risk increases, diminishing the effect of a single factor. Prevention of early morbidity and mortality in older adults should be tailored to specific needs and risks, instead of aiming at one specific factor.

Loneliness and cardiovascular disease and the role of late-life depression.

OBJECTIVE: Loneliness and depression have a strong reciprocal influence, and both predict adverse health outcomes at old age. Therefore, this study examines whether loneliness is associated with the presence of cardiovascular diseases taking into account the role of late-life depression. METHODS: Cross-sectional data of 477 older adults in the Netherlands Study of Depressed Older Persons were used. Logistic regression analysis was performed to examine the relation between loneliness and cardiovascular disease. Depression was added to the regression model to examine whether depression is an explanatory factor in the association between loneliness and cardiovascular disease. Interaction terms between loneliness and depression and between loneliness and sex were introduced in the regression model to investigate whether depressed and non-depressed participants, and men and women differed in their association between loneliness and cardiovascular disease. RESULTS: Of the overall group, 61% were lonely, 28% had a history of cardiovascular disease and 74% were depressed. Loneliness and cardiovascular disease were not associated in the overall group after adjustment for confounders (continuous: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 0.98-1.10), p = 0.25; dichotomous: OR = 1.27, 95% CI = 0.80-2.03, p = 0.32). For women, there was an association between loneliness and cardiovascular diseases (continuous: OR = 1.13, 95% CI = 1.06-1.21, p < 0.001; dichotomous: OR = 2.64, 95% CI = 1.50-4.65, p = 0.001), but this association was not present in men (OR = 0.96, 95% CI = 0.88-1.05, p = 0.38). This association remained significant after adjustment for confounders, but it lost significance after adding depression to the model. CONCLUSION: For women only, there was an association between loneliness and cardiovascular disease. However, this association was explained by depression, indicating that loneliness in its own right seems not related with cardiovascular disease. Copyright © 2017 John Wiley & Sons, Ltd.

Impact of loneliness and depression on mortality: results from the Longitudinal Ageing Study Amsterdam.

BACKGROUND: Loneliness is highly prevalent among older people, has serious health consequences and is an important predictor of mortality. Loneliness and depression may unfavourably interact with each other over time but data on this topic are scarce. AIMS: To determine whether loneliness is associated with excess mortality after 19 years of follow-up and whether the joint effect with depression confers further excess mortality. METHOD: Different aspects of loneliness were measured with the De Jong Gierveld scale and depression with the Centre for Epidemiologic Studies Depression Scale in a cohort of 2878 people aged 55-85 with 19 years of follow-up. Excess mortality hypotheses were tested with Kaplan-Meier and Cox proportional hazard analyses controlling for potential confounders. RESULTS: At follow-up loneliness and depression were associated with excess mortality in older men and women in bivariate analysis but not in multivariate analysis. In multivariate analysis, severe depression was associated with excess mortality in men who were lonely but not in women. CONCLUSIONS: Loneliness and depression are important predictors of early death in older adults. Severe depression has a strong association with excess mortality in older men who were lonely, indicating a lethal combination in this group.

Loneliness, social network size and mortality in older adults: a meta-analysis.

Loneliness and social network size have been found to be predictors of mortality in older adults. The objective of this study was to investigate whether loneliness and small social network size are associated with an increased mortality risk and to review the evidence for either network size, or loneliness that constitutes the higher mortality risk. A systematic literature search was performed in PubMed, EMBASE and PsychInfo in January/February 2018 and March/April 2021. Studies that mentioned outcome data were included in the meta-analysis and coded using the Newcastle-Ottawa Quality Assessment Scale for Cohort Studies. The meta-analysis showed that both loneliness and small social network size are associated with mortality risk in older adults (Hazard Ratio 1.10 (95% Confidence Interval 1.06-1.14) for loneliness and 0.96 (95% Confidence Interval 0.93-0.99) for larger network size). Sensitivity analyses according to the Newcastle-Ottawa Quality Assessment Scale yielded varying results. Heterogeneity was large. In conclusion, both loneliness and small social network size in older adults are associated with increased mortality, although the effect size is small. Targeting subjective and objective aspects of older adults' social contacts should be on the agenda of preventive as well as personalized medicine. In order to be able to compare the association between loneliness and network size and mortality, more studies are needed that include both these risk factors. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-022-00740-z.