Neighborhood Social Environment and Dementia: The Mediating Role of Social Isolation
Bibliographic record
Abstract
OBJECTIVES: Despite the potential importance of the neighborhood social environment for cognitive health, the connection between neighborhood characteristics and dementia remains unclear. This study investigated the association between the prospective risk of dementia and three distinct aspects of neighborhood social environment: socioeconomic deprivation, disorder, and social cohesion. We also examined whether objective and subjective aspects of individual-level social isolation may function as mediators. METHODS: Leveraging data from the Health and Retirement Study (2006-2018; N = 9,251), we used Cox proportional hazards models to examine the association between time-to-dementia incidence and each neighborhood characteristic, adjusting for covariates and the propensity to self-select into disadvantaged neighborhoods. We used inverse odds weighting to decompose significant total effects of neighborhood characteristics into mediational effects of objective and subjective social isolation. RESULTS: The risk of dementia was associated with deprivation and disorder but not low cohesion. In deprived neighborhoods, individuals had an 18% increased risk of developing dementia (cause-specific hazard ratio [CHR] = 1.18, 95% CI: 1.02 to 1.38), and those in disordered areas had a 27% higher risk (CHR = 1.27, 95% CI: 1.03 to 1.59). 20% of the disorder's effects were mediated by subjective social isolation, while the mediational effects of objective isolation were nonsignificant. Deprivation's total effects were not partitioned into mediational effects given its nonsignificant associations with the mediators. DISCUSSION: Neighborhood deprivation and disorder may increase middle to older adults' risks of dementia. The disorder may adversely affect cognitive health through increasing loneliness. Our results suggest a clear need for dementia prevention targeting upstream neighborhood contexts, including the improvement of neighborhood conditions to foster social integration among residents.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".