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Early Life Exposure to the Great Chinese Famine and Cardiometabolic Outcomes

2025· article· en· W4416641613 on OpenAlexafffundabout
Anne Cao, Ning Liu, Jennifer Xiao, Douglas S. Lee, Calvin Ke

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsPublic Health OntarioToronto General HospitalUniversity Health NetworkUniversity of TorontoInstitute for Clinical Evaluative SciencesQueen's University
FundersOntario Ministry of Health and Long-Term CareDiabetes Canada
KeywordsFamineMalnutritionRisk factorCohort studyCohort

Abstract

fetched live from OpenAlex

Importance: Epidemiologic studies suggest that people who were exposed to famine during early life but now live in nutrient-abundant environments have an elevated risk of type 2 diabetes (T2D) and other cardiometabolic conditions. Although many individuals who were exposed to famine in early life have now immigrated to high-income countries, the association between early life famine exposure and cardiometabolic outcomes among immigrants is unknown. Objective: To investigate the associations of early life exposure to the Great Chinese Famine with the incidence of T2D, hypertension, and cardiovascular hospitalization among immigrants. Design, Setting, and Participants: This population-based cohort study in Ontario, Canada, used 3 cohorts (1 for each coprimary outcome of T2D, hypertension, and cardiovascular hospitalization) of adult Chinese immigrants aged 20 to 85 years living in Ontario from April 1, 1992, to March 31, 2019. Participants were followed up until 85 years of age, relocation from Ontario, or March 31, 2023 (whichever occurred first). Data were analyzed from April 22, 2024, to September 30, 2025. Exposure: Prenatal, childhood, and adolescent exposure to famine, classified by year of birth (1941-1952). Those born before 1941 or after 1962 served as the comparison group. Main Outcomes and Measures: Incident T2D, hypertension, and cardiovascular hospitalization were the coprimary outcomes. Results: The T2D cohort included 188 292 individuals (exposed: mean [SD] age, 52.6 [10.8] years; 53.3% female; unexposed: mean [SD] age, 37.4 [12.5] years; 54.9% female), the hypertension cohort included 180 510 individuals (exposed: mean [SD] age, 51.8 [10.6] years; 52.3% female; unexposed: mean [SD] age, 36.6 [11.5] years; 55.0% female), and the cardiovascular hospitalization cohort included 208 921 individuals (exposed: mean [SD] age, 50.5 [12.0] years; 51.5% female; comparison: mean [SD] age, 37.8 [13.1] years; 54.6% female). Event rates among the famine-exposed group were 13.6% for T2D, 29.8% for hypertension, and 1.6% for cardiovascular hospitalization. Early life famine exposure was associated with increased hazards of T2D (prenatal: hazard ratio [HR], 1.58 [95% CI, 1.49-1.68]; childhood: HR, 1.45 [95% CI, 1.38-1.54]; adolescent: HR, 1.37 [95% CI, 1.28-1.46]) and hypertension (prenatal: HR, 1.22 [95% CI, 1.17-1.27]; childhood: HR, 1.25 [95% CI, 1.21-1.30]; adolescent: HR, 1.25 [95% CI, 1.20-1.31]). Prenatal and childhood exposure to famine were not associated with risk of cardiovascular hospitalization (prenatal: HR, 0.92 [95% CI, 0.76-1.12]; childhood: HR, 0.98 [95% CI, 0.86-1.11]), but adolescent exposure to famine was associated with a 14% decrease in risk of cardiovascular hospitalization (HR, 0.86 [95% CI, 0.75-0.98]). Conclusions and Relevance: In this cohort study of Chinese immigrants, early life famine exposure was strongly associated with increased risks of incident T2D and hypertension, but not cardiovascular hospitalization. Early life undernutrition is a novel cardiometabolic risk factor among immigrants associated with the burden of T2D and hypertension in high-income countries.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.298
Threshold uncertainty score0.592

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.315
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2025
Admission routes3
Has abstractyes

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