ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2021
Analyzing Birth Cohorts With the National Social Life, Health, and Aging Project.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Urine and fecal incontinence prevalence is increased in later born 81-year old cohorts in the Swedish general elder population: data from the Good Aging in Skåne study (GÅS).BMC geriatrics · 2026Article
- Addressing Cognitive Assessment Disparities Among Hispanic Adults: Adapting the MoCA-SA for Improved Accuracy and Accessibility Among Spanish Speakers.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Race/Ethnicity and the Measurement of Cognition in the National Social Life, Health, and Aging Project: Recommendations for Robustness.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Demographic Variation in Social Support and Intimate Friend Across 22 Countries: A Cross-National Analysis.International journal of applied positive psychology · 2025Article
- The Interplay of Race, Ethnicity, and Language in Caregiver Health: Insights from the National Social Life, Health, and Aging Project.Research square · 2024Article
- A bridge too far? Social network structure as a determinant of depression in later life.Social science & medicine (1982) · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
objectivesIn this article, we seek to provide assistance to those who might want to use data from the National Social Life, Health, and Aging Project (NSHAP) Rounds 1-3 to compare those born in different cohorts. We outline 2 theoretical models that underlie the design of NSHAP-the life course model and the birth cohorts model-and review examples of social and political changes that may have differentially affected cohorts of older adults. Then we present 2 ways that NSHAP data might be used to compare cohorts, show examples of analyses of cohort differences in measures in NSHAP, and discuss features of the data that might affect their use for this purpose.
methodsRound 3 of the NSHAP added a group of respondents born between 1948 and 1965, the Baby Boom. Together with data from an earlier cohort, interviewed in Rounds 1-3, these data allow analysis of birth cohorts of older adults in the United States. We show examples of some approaches.
resultsOur age-matched cohort differences approach included all observations where the respondent was aged 57-67 at the time of interview in different time periods (3,816 observations overall; 2,316 for the Silent Generation cohort and 1,500 for the Baby Boom cohort). Our second approach, age, period, and cohort effects, models the effects of age and birth year using restricted cubic splines, with one model excluding the linear effect of birth year, and the other excluding the linear effect of period. We present examples of analyses using each of these methods. DISCUSSION: We describe features of the NSHAP data of which researchers should be aware when conducting cohort analyses with these data.
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