ArticleSocial science & medicine (1982)2024
A national longitudinal dyadic analysis of spousal education and cognitive decline in the United States.
Article in Social science & medicine (1982), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Exposure to parental depression in childhood and memory trajectories in mid- and later life.PloS one · 2026Article
- A National Dyadic Study of Spousal Education and Hypertension Among Older Couples in the United States.Research on aging · 2025Article
- Spousal Education and Memory Decline: Evidence From the English Longitudinal Study of Aging.The Gerontologist · 2025Article
- Does Schooling Improve Cognitive Abilities at Older Ages? Causal Evidence From Nonparametric Bounds.Demography · 2025Article
- The impact of digital technology on health inequality: evidence from China.BMC health services research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Education plays a significant role in shaping cognitive functioning throughout an individual's life. However, existing research has not adequately explored how the educational attainment of the spouse can impact cognitive functioning over time. This study presents one of the first longitudinal analyses of how spousal education is linked to cognitive trajectories of each member within couples during their later life in the United States. Guided by the linked lives perspective, we analyze data from 8370 couples in the Health and Retirement Study spanning from 2000 to 2018. Results from the Actor-Partner Interdependence Model (APIM) integrated with latent growth curve models reveal that cognitive trajectories exhibit a correlation between spouses over time. Moreover, our analysis uncovers gender-specific effects of spousal education on cognition, shedding light on the underlying mechanisms driving this connection. Notably, the lower educational attainment of husbands is associated with a faster cognitive decline in both themselves and their wives. This association is partially explained by economic resources, but not by health and social behaviors. The lower educational attainment of wives is linked to their own faster cognitive decline as well as lower initial cognitive levels of their husbands, in part via economic resources. However, wives' educational attainment is largely unrelated to their husbands' cognitive decline. Intriguingly, wives' education has a more pronounced impact on the health and social behaviors of their husbands than vice versa, although these health and social behaviors do not appear to influence husbands' cognitive decline. In conclusion, these results underscore the importance of considering spousal education in comprehending the complexities of cognitive decline within dyadic relationships.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.