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Record W2143988262 · doi:10.1093/aje/kwj357

Socioeconomic and Psychosocial Exposures across the Life Course and Binge Drinking in Adulthood: Population-based Study

2006· article· en· W2143988262 on OpenAlexaff
Stephen Yang, John Lynch, Trivellore E. Raghunathan, Jussi Kauhanen, J T Salonen, G. A. Kaplan

Bibliographic record

VenueAmerican Journal of Epidemiology · 2006
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsMcGill University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Heart, Lung, and Blood InstituteNational Institute of Child Health and Human DevelopmentU.S. Public Health ServiceNational Institutes of Health
KeywordsSocioeconomic statusOdds ratioPsychosocialBinge drinkingLife course approachMarital statusMedicinePopulationDemographyConfidence intervalPoison controlEnvironmental healthPsychologyGerontologyInjury preventionPsychiatryDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

Despite recognition of the health risks of binge drinking, its life-course precursors have not been widely examined. Data from the Kuopio Ischemic Heart Disease Risk Factor Study (1984-1989) were used to investigate the association between socioeconomic and psychosocial exposures across the life course and binge drinking in a population-based sample of 2,316 middle-aged men. Binge drinking was defined as drinking at least four bottles of beer, one bottle of wine, one bottle of strong wine, or six servings of spirits on a single occasion. A composite indicator of childhood socioeconomic position was based on parental education, occupation, and number of rooms and divided into tertiles. Low childhood socioeconomic position increased the odds of binge drinking (odds ratio = 1.70, 95% confidence interval: 1.26, 2.31) when other early life exposures were adjusted. Additional adjustment of adult socioeconomic and psychosocial factors attenuated the odds of bingeing associated with low childhood socioeconomic position (odds ratio = 1.29, 95% confidence interval: 0.93, 1.79). Adult socioeconomic conditions, marital status, hostility, and organizational membership were independently associated with bingeing. This study shows that both early and later life characteristics including socioeconomic conditions and adult psychosocial factors contribute to adult binge drinking in this population, but the effects of adult characteristics are stronger.

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 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)0.003
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.056
GPT teacher head0.427
Teacher spread0.371 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations60
Published2006
Admission routes1
Has abstractyes

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