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Record W2148035345 · doi:10.1093/geront/gnr071

Childhood Misfortune as a Threat to Successful Aging: Avoiding Disease

2011· article· en· W2148035345 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Gerontologist · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Toronto
FundersNational Institute on Aging
KeywordsMisfortuneDiseaseLogistic regressionOddsOdds ratioMedicineGerontologyPsychologyDemographyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to examine whether childhood misfortune reduces the likelihood of being disease free in adulthood. DESIGN AND METHODS: This article used a sample of 3,000+ American adults, aged 25-74, who were first interviewed in 1995 and reinterviewed in 2005. Logistic regression was used to estimate the odds of avoiding disease at the first wave and remaining disease free a decade later. RESULTS: Consistent with a life course view of successful aging, higher levels of childhood misfortune (e.g., abuse, financial strain) are associated with a lower probability of disease avoidance. This pattern was observed across a large set of chronic conditions and in multivariate analyses spanning both waves of the study. IMPLICATIONS: Childhood misfortune has approximately equal consequences for adult disease avoidance as does the combined effect of moderate lifetime smoking and obesity. Efforts to alleviate adverse experiences for children may have long-term benefits for successful aging.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.003

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.

Opus teacher head0.070
GPT teacher head0.319
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it