Longitudinal cross-lagged analysis of depression, loneliness, and quality of life in 12 European countries

Abstract

Abstract Background In the older population, depression, loneliness, and quality of life are closely related, significantly influencing health status. This paper aimed (1) to investigate autoregressive and cross-lagged associations over 2 years between depression, loneliness, and quality of life, and (2) to examine sex-related differences in the 2-year associations between depression, loneliness, and quality of life in a large sample of European citizens aged ≥ 50 years. Methods This is a longitudinal analysis. We included 7.456 individuals (70.89 ± 7.64 years; (4.268 females) who responded to waves 7 (2017) and 8 (2019) of the SHARE project. The variables analyzed in both waves were depression, loneliness, and quality of life. Results Comparatively, females indicated higher depression and loneliness scores than males and a lower perception of quality of life. Autoregressive associations pointed that past depression, loneliness, and quality of life predicted their future episodes 2 years later (p < 0.001). The cross-lagged analysis of males showed positive and significant bidirectional associations between depression and loneliness 2 years later. Females also showed a positive and significant association between depression and loneliness, but loneliness was not associated with depression 2 years later. In turn, previous high levels of quality of life had a protective role in late depression and loneliness up to 2 years. Conclusions This study highlighted the need to simultaneously assess and manage depression, loneliness, and quality of life in the older European population. It is suggested that sex-specific policies can be created, including social support, in order to reduce depression and loneliness, and promote quality of life.

Keywords

• Aging
• Vulnerability
• Depression
• Wellbeing
• Loneliness