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Record W2022092060 · doi:10.1177/0022146513489312

Educational Differences in Healthy Behavior Changes and Adherence Among Middle-aged Americans

2013· article· en· W2022092060 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

VenueJournal of Health and Social Behavior · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsWestern University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute on Aging
KeywordsSocioeconomic statusEducational attainmentDemographyGerontologyMedicineMiddle ageHealth behaviorChronic diseaseBehavior changePsychologyEnvironmental healthDevelopmental psychologySocial psychologyPopulation

Abstract

fetched live from OpenAlex

Although the better-educated are more likely to practice healthy behaviors when measured at one point in time, there is no clear evidence regarding whether more educated people are more likely to initiate healthy behavior changes in the face of new chronic conditions and whether they are better able to adhere to these healthy changes, once made. I use data from the Health and Retirement Study (HRS) (1992-2010) to examine smoking cessation and starting physical activity by educational attainment over an 18-year period among 16,606 respondents ages 50 to 75. The more-educated are the least likely to smoke and most likely to be physically active in middle age. They are also most likely to make healthy changes overall and better adhere to them. Education also shapes behavior change after a new diagnosis, which likely contributes to socioeconomic status differences in chronic disease management and health outcomes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.110
GPT teacher head0.390
Teacher spread0.280 · 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