What factors attenuate the relationship between childhood neglect and adverse health outcomes? Examining the role of socioeconomic status, health behaviors, and the presence of a protective adult
Bibliographic record
Abstract
BACKGROUND: The detrimental effects of childhood neglect on adult health outcomes are well-recognized; however, less is known about factors that may attenuate this relationship. OBJECTIVE: (1) To examine the associations between childhood neglect and various physical and mental health outcomes in adulthood among those who had not experienced childhood physical or sexual abuse; and (2) To determine whether adjusting for risk and protective factors, including socioeconomic status, health behaviors, and the presence of a trusted adult, attenuates these relationships. PARTICIPANTS AND SETTING: Data came from the 2021 Behavioral Risk Factor Surveillance System (BRFSS), a representative sample of community-dwelling US adults (n = 41,322). METHODS: The relationships between childhood neglect and health outcomes were investigated using logistic regression analyses. Adjustments were made for demographics, socioeconomic status, health behaviors, and the presence of a protective adult. RESULTS: Childhood neglect was significantly associated with adverse health outcomes, including health behaviors (e.g., smoking, low physical activity), physical health indicators (e.g., self-reported fair/poor health, stroke, asthma, COPD), disabilities (e.g., hearing impairment, vision impairment, cognitive impairment, difficulty walking or climbing stairs, difficulty bathing), and mental health indicators (e.g., poor mental health/past month, depression) after controlling for demographics. All significant associations indicated small or very small effect sizes. Associations were substantially attenuated when controlling for adult socioeconomic status, and further attenuated when controlling for the presence of a protective adult, with several outcomes becoming non-significant. CONCLUSIONS: Socioeconomic status and the presence of a protective adult in childhood considerably diminishes the association between childhood neglect and health outcomes in adulthood.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".