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)
Year: 2021
Type: article
Study design: Observational Study
Abstract: 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.
DOI: 10.1002/gps.5560
Institutions: Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, Institut de Recerca Sant Joan de Déu, Universitat de Barcelona, Vrije Universiteit Brussel, Flemish Government, Research Foundation - Flanders, Vrije Universiteit Amsterdam, Universitat Politècnica de Catalunya, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
Language: English
Subfield: Health
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,250
Funders: Ministerio de Ciencia, Innovación y Universidades, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Ministerie van Volksgezondheid, Welzijn en Sport, Universitair Medisch Centrum Utrecht, Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III
OpenAlex ID: W3159909663
