Linking the 1940 U.S. Census to the National Social Life, Health, and Aging Project: Novel Opportunity to Understand the Effects of Early-Life Residential Environment on Cognitive Aging
Bibliographic record
Abstract
OBJECTIVES: The 1940 Census is a valuable resource for understanding various aspects of historical populations in the United States. Recently, the National Social Life, Health and Aging Project integrated 1940 Census data into its extensive data set, providing researchers with an opportunity to explore new avenues of life course investigation. We leverage the newly introduced measures of childhood residential environment and evaluate their potential predictive utility in older adult cognitive functioning net of childhood and adulthood characteristics known to be key risk factors for poor cognition. METHODS: We analyzed 777 respondents who were children in 1940 (age <17) that have been linked to the 1940 U.S. Census. We used childhood geographic location, homeownership status, household composition, and parental nativity as predictors. Cognitive function was measured using the Montreal Cognitive Assessment. RESULTS: Regression analysis showed that growing up in an urban area was associated with better cognitive function, while being born in the South was linked to poorer cognitive function, even after controlling for childhood health, parental education, educational attainment, stroke, and smoking status. Additionally, childhood multigenerational household was associated with better cognitive function, and childhood family size was associated with poorer cognitive function. However, these associations became statistically insignificant with the inclusion of educational attainment. We did not find homeownership and parental nativity to be associated with cognitive function. DISCUSSION: The findings may shed light on the potential long-term effects of childhood circumstances on cognitive aging processes. Implications for current literature and directions for future research are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".