Chronic and Transient Loneliness in Western Countries: Risk Factors and Association With Depression. A 2-Year Follow-Up Study.

INTRODUCTION: Our aim was to test risk factors for chronic and transient loneliness as well as cross-sectional and longitudinal associations of courses of loneliness with depression. METHODS: Responses from participants in Wave 5 (T1, 2013) and Wave 6 (T2, 2015) of The Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 45,490) were analyzed. The existence of clinically significant symptoms of depression was defined as reporting a value greater than or equal to 4 on the Euro-D scale. Loneliness was measured through the 3-item UCLA loneliness scale and a single question. Both measures were tested in separate regression models to identify risk factors for transient (loneliness at T1) and chronic (loneliness at T1 and T2) loneliness as well as their associations with depression. RESULTS: Chronic loneliness was observed in 47%-40% of the cases of loneliness, according to the UCLA scale and the single question, respectively. Risk factors for chronic loneliness in both models were being female, not being married, having a low educational level, having poor mental and physical health, being limited in activities, having a poor social network, and living in a culturally individualistic country. Risk factors for transient loneliness were less robust and no significant effects were found for variables such as sex and physical health in both models, education level in the UCLA measure model, and social network size in the single question model. Chronic loneliness also showed a strong association with depression in the cross-sectional model and a marked one in the longitudinal model. CONCLUSION: The courses of loneliness are relevant in the study of its risk factors and association with depression.

Social network size, loneliness, physical functioning and depressive symptoms among older adults: Examining reciprocal associations in four waves of the Longitudinal Aging Study Amsterdam (LASA).

INTRODUCTION: Previous research indicates that social isolation, loneliness, physical dysfunction and depressive symptoms are interrelated factors, little is known about the potential pathways among them. The aim of the study is to analyse simultaneously reciprocal relationships that could exist between the four factors to clarify potential mediation effects. METHODS: Within a large representative sample of older people in the Longitudinal Aging Study Amsterdam (LASA), participants aged 75 and over were followed up over a period of 11 years (four waves). We tested cross-lagged and autoregressive longitudinal associations of social network size, loneliness, physical functioning and depressive symptoms using structural equation modelling (SEM). RESULTS: Several statistically significant cross-lagged associations were found: decreasing physical functioning (Coef. = -0.03; p < 0.05), as well as social network size (Coef. = -0.02; p < 0.05), predicted higher levels of loneliness, which predicted an increase in depressive symptoms (Coef. = 0.17; p < 0.05) and further reduction of social network (Coef. = -0.20; p < 0.05). Decreasing physical functioning also predicted an increase in depressive symptoms (Coef. = -0.08; p < 0.05). All autoregressive associations were statistically significant. CONCLUSION: Interventions focused on promoting social activities among older adults after negative life events, such as loss of social contacts or declining physical function, may alleviate feelings of loneliness and act as mental health protector.

From childhood financial hardship to late-life depression: socioeconomic pathways.

OBJECTIVE: Childhood financial hardship is associated with depression throughout the life course, including older adulthood. However, it is still unclear the extent to which occupation, education level and household income are mediators of this association. We aimed to examine the association between childhood financial hardship and late-life depression, and potential socioeconomic mediators using community-based data. METHODS: A nationally representative sample of 3623 non-institutionalized older Spanish adults aged 50+ was used. The associations between childhood financial hardship and depression, socioeconomic mediator variables and confounding variables such as chronic physical conditions, number of close people, and loneliness, were assessed through logistic regression models. Mediation analyses of socioeconomic variables were carried out. RESULTS: Older Spanish adults who experienced a poor childhood financial situation were nine times more likely to obtain a lower level of education than those with a good childhood financial situation, and about three times more likely to suffer from depression. Participants' education level mediated about 35-40% of the association between childhood financial hardship and late-life depression whereas we found no significant mediation effect of household income and occupation skill. CONCLUSION: Improving access to the educational system during the life course might result in a reduction in the prevalence of depression in the general population of older adults and particularly among individuals with low socioeconomic status.

The association between perceived social and physical environment and mental health among older adults: mediating effects of loneliness.

Objectives: Despite growing interest in the impact of physical and social environment on mental health, data are lacking on the potential mediating effects of loneliness. We examined it in the association of several social and physical environmental characteristics with mental health among older adults in three municipalities in Flanders (Belgium).Methods: A total of 869 people aged 60 and over were interviewed. Loneliness was assessed through the De Jong Gierveld short scales for emotional and social loneliness. Social participation and social cohesion were assessed following the Neighborhood scales whereas physical environment characteristics were selected from the Neighborhood Environment Walkability Scale. Mental health was assessed through subscale psychological frailty of the Comprehensive Frailty Assessment Instrument plus (CFAI-plus). Linear regression models, including mediation analysis, were used to analyze the survey data.Results: After adjusting for individual characteristics, physical and social environment factors were significantly related to mental health with the significant mediation of emotional and social loneliness. Percentages mediated by both dimensions together were 61% for social cohesion, 43% for social participation, 35% for safety and 25% for mobility. Compared with social loneliness, emotional loneliness was a stronger mediating factor, particularly for mobility and safety. No significant associations between traffic density or basic service availability and mental health were found.Discussion: Improving the social and physical environment might result in a reduction in the prevalence of loneliness and in consequent improvement of mental health among older adults. Special attention should be paid to different types of loneliness.

Loneliness and depression among older European adults: The role of perceived neighborhood built environment.

Depression and loneliness act in a synergistic way among older adults. We tested two indicators of the perceived neighborhood built environment (BE) as moderators of the association between these conditions in older European adults. Positive perceptions of neighborhood BE were related to lower levels of loneliness but not to major depressive disorder (MDD). Reporting low BE usability was significantly related to a higher likelihood of feeling lonely except for those suffering from MDD, whereas reporting low BE walkability was significantly related with a high likelihood of loneliness particularly among those with MDD. Therefore, improving neighborhood BE and, specifically, its walkability, might result in a reduction in the prevalence of loneliness.

Anxiety, depression, loneliness and social network in the elderly: Longitudinal associations from The Irish Longitudinal Study on Ageing (TILDA).

BACKGROUND: Social network, loneliness, generalized anxiety disorder (GAD) and major depression disorder (MDD) are interrelated. However, as the directions of these associations are still unclear, we examined them prospectively using community-based data. METHODS: Data on 5066 adults aged ≥50 years from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Loneliness was assessed through the UCLA loneliness scale. Social integration was measured using the Berkman-Syme Social Network Index. MDD and GAD were assessed with the Composite International Diagnostic Interview (CIDI). Logistic regression models were conducted. RESULTS: The longitudinal association between experiencing loneliness and higher likelihood of suffering from MDD or GAD two years later is bidirectional but stronger with loneliness as origin, whereas the association between social isolation and higher likelihood of subsequent MDD or GAD as well as those between loneliness and subsequent deterioration of social integration are unidirectional. CONCLUSION: Objective and perceived social isolation independently affect the probability of suffering from MDD or GAD whereas loneliness is a risk factor for the deterioration of social life, which highlights the need to address the subjective factors (such as loneliness) and objective factors (such as social network size) of social isolation in a complementary way in order to improve the mental health of the older adult population.

The association between socioeconomic status and depression among older adults in Finland, Poland and Spain: A comparative cross-sectional study of distinct measures and pathways.

BACKGROUND: Socioeconomic status, as measured by education, occupation or income, is associated with depression. However, data are lacking on the psychosocial, material and behavioral mediators of these associations. We have examined the association of education, occupation and income with depression and the potential mediations using community-based data. METHODS: A total of 7,966 older adults were interviewed in Finland, Poland and Spain. The differential associations between depression and SES, mediator variables, country of residence and cofounder variables, such as chronic physical conditions, were assessed through logistic regression models. Meditation analyses were carried out using khb method for Stata 13.1. RESULTS: Education, followed by household income, were the SES indicators most frequently significantly associated with depression. These SES markers, but not occupation, showed an independent effect in this association. Psychosocial factors and loneliness in particular showed the strongest associations with depression among mediator variables. However, material factors and, especially, financial strain had a higher mediating function in the association between SES and depression. Overall, SES markers, chronic conditions and mediation factors were more positive in Finland than in Poland and Spain. CONCLUSION: Improving psychosocial and material dimensions as well as access to the educational system for older adults might result in a reduction in the prevalence of depression in the general population and particularly among individuals with low SES.

The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults.

PURPOSE: The aim of this paper was to analyze the effect of biomedical and psychosocial well-being, based on distinct successful aging models (SA), on time to mortality, and determine whether this effect was modified by socioeconomic status (SES) in a nationally representative sample of older Spanish adults. METHODS: Data were taken from a 3-year follow-up study with 2783 participants aged 50 or over. Vital status was ascertained using national registers or asking participants' relatives. Kaplan-Meier curves were used to estimate the time to death by SES, and levels of biomedical and psychosocial SA. Cox proportional hazard regression models were conducted to explore interactions between SES and SA models while adjusting for gender, age, and marital status. RESULTS: Lower levels of SES and biomedical and psychosocial SA were associated with low probability of survival. Only the interaction between SES and biomedical SA was significant. Biomedical SA impacted on mortality rates among individuals with low SES but not on those with medium or high SES, whereas psychosocial SA affected mortality regardless of SES. CONCLUSIONS: Promoting equal access to health care system and improved psychosocial well-being could be a protective factor against premature mortality in older Spanish adults with low SES.

Sociodemographic Factors Associated With Changes in Successful Aging in Spain: A Follow-Up Study.

OBJECTIVE: Successful aging (SA) refers to maintaining well-being in old age. Several definitions or models of SA exist (biomedical, psychosocial, and mixed). We examined the longitudinal association between various SA models and sociodemographic factors, and analyzed the patterns of change within these models. METHOD: This was a nationally representative follow-up in Spain including 3,625 individuals aged ≥50 years. Some 1,970 individuals were interviewed after 3 years. Linear regression models were used to analyze the survey data. RESULTS: Age, sex, and occupation predicted SA in the biomedical model, while marital status, educational level, and urbanicity predicted SA in the psychosocial model. The remaining models included different sets of these predictors as significant. In the psychosocial model, individuals tended to improve over time but this was not the case in the biomedical model. CONCLUSION: The biomedical and psychosocial components of SA need to be addressed specifically to achieve the best aging trajectories.

The role of socio-economic status and neighborhood social capital on loneliness among older adults: evidence from the Sant Boi Aging Study.

PURPOSE: The aim of the present study is to analyze the role of age in the association between socio-economic status (SES) and loneliness as well as the role of neighborhood social capital (NSC) in the association between individual social capital and loneliness. METHODS: Data include a representative population-based sample from Sant Boi de Llobregat (a suburb of Barcelona) of 1124 adults aged 50 and over. Logistic regression models were used to analyze the survey data. Interactions between SES and age, and NSC and individual social capital were explored. RESULTS: Among the poorest older adults, older individuals showed a lower likelihood of loneliness (OR 0.09, 95% CI 0.02, 0.30, p < 0.05) compared with the youngest cohort after adjusting for covariates, while among the richest individuals there were no significant differences among age cohorts. Individuals living in an area with high NSC and high individual social capital showed a lower likelihood of loneliness (OR 0.36, 95% CI 0.17, 0.73, p < 0.05) compared with those with low individual social capital after adjusting for covariates. The effect of individual social capital was not significant among individuals living in an area with low NSC. CONCLUSION: Interventions focusing on low SES middle-aged (50-59 years old) individuals and those aiming to increase NSC could be effective strategies to reduce the prevalence of loneliness in older people.

Loneliness and depression in the elderly: the role of social network.

PURPOSE: Loneliness and depression are associated, in particular in older adults. Less is known about the role of social networks in this relationship. The present study analyzes the influence of social networks in the relationship between loneliness and depression in the older adult population in Spain. METHODS: A population-representative sample of 3535 adults aged 50 years and over from Spain was analyzed. Loneliness was assessed by means of the three-item UCLA Loneliness Scale. Social network characteristics were measured using the Berkman-Syme Social Network Index. Major depression in the previous 12 months was assessed with the Composite International Diagnostic Interview (CIDI). Logistic regression models were used to analyze the survey data. RESULTS: Feelings of loneliness were more prevalent in women, those who were younger (50-65), single, separated, divorced or widowed, living in a rural setting, with a lower frequency of social interactions and smaller social network, and with major depression. Among people feeling lonely, those with depression were more frequently married and had a small social network. Among those not feeling lonely, depression was associated with being previously married. In depressed people, feelings of loneliness were associated with having a small social network; while among those without depression, feelings of loneliness were associated with being married. CONCLUSION: The type and size of social networks have a role in the relationship between loneliness and depression. Increasing social interaction may be more beneficial than strategies based on improving maladaptive social cognition in loneliness to reduce the prevalence of depression among Spanish older adults.