A bridge too far? Social network structure as a determinant of depression in later life

Existing research has documented various determinants of mental health related to individuals' social connections, but less is known about the role of the structural features of interpersonal networks. This is especially true in the case of bridging, which refers to ties to people who are otherwise disconnected from each other. By intersecting theories of social networks and gerontology, this study employs within- and between-person analysis with data from the National Social Life, Health, and Aging Project (NSHAP) to examine the association between social network bridging and depression in later life. The study finds that bridging, particularly between kin and non-kin members in the network, is associated with increased depressive symptoms in later life. This association is contingent on social support and strain respondents experienced, and it exhibits variations within individuals over time, especially among older adults in the youngest age cohort (57-64 years old included in NSHAP in 2005). In closing, the paper discusses the extent to which heterogeneous network structures may be one mechanism that shapes mental health trajectories in the context of later life-course experiences.

Subjective social status and allostatic load among older people in England: A longitudinal analysis

BACKGROUND

Subjective social status has a known association with health, whereby better health outcomes are observed for those with higher perceived status. In this research, we offer new evidence on the status-health relationship using a rigorous methodological approach that considers both observed and unobserved confounders.

METHODS

We use 5 waves of data spanning 15 years from the English Longitudinal Study of Ageing and derive a measure of allostatic load with biomarkers as an objective measure of health. We apply 'within-between' panel regression models.

RESULTS

Models reveal the expected association between subjective status and health when comparing participants (the 'between' estimate), but no association when examining temporal variation within participants (the 'within' estimate). When controlling for personality traits including optimism, and parental education, the 'between' association between subjective status and allostatic load is reduced but does not disappear.

CONCLUSIONS

Person-level confounders play some role in explaining the observed link between subjective status and health. The exact nature of the link, including the role of psychological pathways and early-life confounders, remains a question for future research.