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. 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. 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. 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.

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. 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. 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. 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.

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. 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. 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. 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.

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.

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.