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. 2025 Jul 10;10(1):28.
doi: 10.1186/s41256-025-00422-0.

Early-life undernutrition increases the risk of death from chronic diseases in adulthood: a population-based cohort study

Affiliations

Early-life undernutrition increases the risk of death from chronic diseases in adulthood: a population-based cohort study

Mengqiu Wu et al. Glob Health Res Policy. .

Abstract

Background: Early-life undernutrition, particularly during critical developmental periods, may have lasting impacts on non-communicable diseases (NCDs) in adulthood. The Chinese Great Famine (1959-1961) provides a unique opportunity to evaluate these effects in a large-scale population study. To investigate the impact of early-life undernutrition on adult mortality due to NCDs in individuals exposed to the Chinese Great Famine.

Methods: We analyzed data from a medical insurance database in Hua County, China, including 15,088 individuals born during the famine (1959-1961) and 49,924 individuals deemed unexposed because they were born after the famine (1962-1964), with follow-up from 2012 to 2023. Multivariable Cox regression and competing risks regression were used to assess the association between early-life undernutrition and mortality.

Results: Early-life undernutrition was associated with increased risks of all-cause mortality (HRadjusted = 1.49, 95% CI 1.37-1.62), cancer mortality (HRadjusted = 1.41, 95% CI 1.22-1.64), cardiovascular and cerebrovascular diseases mortality (HRadjusted = 1.51, 95% CI 1.34-1.71), and chronic obstructive pulmonary disease mortality (HRadjusted = 4.37, 95% CI 2.51-7.61). Subgroup analysis revealed that the exposed group had a higher risk of death from lung, esophageal, gastric, hepato-biliary, and pancreatic cancers, cerebrovascular disease and cardiovascular disease.

Conclusions: This study demonstrates the long-term adverse effects of early-life undernutrition on NCD mortality in adulthood, underscoring the importance of nutritional interventions during critical developmental periods to reduce the burden of NCDs.

Clinical trial registration: Endoscopic Screening for Esophageal Cancer in China (ESECC) randomized controlled trial (Clinical trial: NCT01688908).

Keywords: Chinese great famine; Chronic non-communicable diseases; Early-life undernutrition; Mortality.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Peking University School of Oncology (Approval Nos.: 2011101110 and 2021 KT127). All participants provided written informed consent before inclusion. To ensure privacy, sensitive personal identifiers (e.g., names, personal ID, addresses) were anonymized after linking the NRCMS and death registry data. Original identifiers were replaced with non-traceable unique codes. These measures adhered to institutional ethical guidelines while preserving data utility for research purposes. Consent for publication: Not applicable. Competing interests: The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Cumulative incidence curves of all-cause death (A), cancer death (B), cardiovascular and cerebrovascular diseases death (C), and chronic obstructive pulmonary disease death (D) in early-life undernutrition exposed and unexposed cohorts in Hua County, China, 2012–2023. HR hazard ratio, CI confidence interval
Fig. 2
Fig. 2
The effect of early-life undernutrition exposure on death from NCDs in late adulthood, among 65,012 residents in Hua County, 2012–2023. * The HRs were adjusted for sex. *All-cause mortality was analyzed using Cox proportional hazards models, while cancer, cardiovascular and cerebrovascular diseases, and chronic obstructive pulmonary disease mortality were assessed using competing risks regression models
Fig. 3
Fig. 3
The effect of early-life undernutrition exposure on mortality estimated using multivariable models, among 8137 subjects with individual-level covariate information from the ESECC trial and AECCS in Hua County, 2012–2023. a The HRs from Model 0 were adjusted for sex. b The HRs from Model 1 were adjusted for age at enrollment, sex, education, occupation, and marital status. c The HRs from Model 2 were adjusted for age at enrollment, sex, education, occupation, marital status, cigarette smoking and alcohol drinking. d The HRs from Model 3 were adjusted for age at enrollment, sex, education, occupation, marital status, cigarette smoking, alcohol drinking and body mass index (BMI). e Cancer family history was added to all the models for cancer mortality. *All-cause mortality was analyzed using Cox proportional hazards models, while cancer, cardiovascular and cerebrovascular diseases, and chronic obstructive pulmonary disease mortality were assessed using competing risks regression models

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