The development of depressive symptoms in older adults from a network perspective in the English Longitudinal Study of Ageing.

ABSTRACT: An increased understanding of the interrelations between depressive symptoms among older populations could help improve interventions. However, studies often use sum scores to understand depression in older populations, neglecting important symptom dynamics that can be elucidated in evolving depressive symptom networks. We computed Cross-Lagged Panel Network Models (CLPN) of depression symptoms in 11,391 adults from the English Longitudinal Study of Ageing. Adults aged 50 and above (mean age 65) were followed over 16 years throughout this nine-wave representative population study. Using the eight-item Center for Epidemiological Studies Depression Scale, we computed eight CLPNs covering each consecutive wave. Across waves, networks were consistent with respect to the strength of lagged asso

SUBMITTER: Schlechter P 

PROVIDER: S-EPMC10676393 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature