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      Famine exposure in early life and type 2 diabetes in adulthood: findings from prospective studies in China

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          Abstract

          BACKGROUND/OBJECTIVES

          This study examined the relationship between famine exposure in early life and the risk of type 2 diabetes in adulthood during the 1959–1961 Chinese Famine.

          SUBJECTS/METHODS

          A total of 3,418 individuals aged 35–74 years free of diabetes from two studies in 2006 and 2009 were followed up prospectively in 2009 and 2012, respectively. Famine exposure was classified as unexposed (individuals born in 1962–1978), fetal exposed (individuals born in 1959–1961), child exposed (individuals born in 1949–1958), and adolescent/adult exposed (born in 1931–1948). A logistic regression model was used to assess the relationship between famine exposure and diabetes after adjustment for potential covariates.

          RESULTS

          During a three-year follow-up, the age-adjusted incidence rates of type 2 diabetes were 5.7%, 14.5%, 12.7%, and 17.8% in unexposed, fetal-exposed, child-exposed, and adolescent/adult-exposed groups, respectively ( P < 0.01). Relative to the unexposed group, the relative risks (95% confidence interval) for diabetes were 2.15 (1.29–3.60), 1.53 (0.93–2.51), and 1.65 (0.75–3.63) in the fetal-exposed, child-exposed, and adolescent/adult-exposed groups, after controlling for potential covariates. The interactions between famine exposure and obesity, education level, and family history of diabetes were not observed, except for the urbanization type. Individuals living in rural areas with fetal and childhood famine exposure were at a higher risk of type 2 diabetes, with relative risks of 8.79 (1.82–42.54) and 2.33 (1.17–4.65), respectively.

          CONCLUSIONS

          These findings indicate that famine exposure in early life is an independent predictor of type 2 diabetes, particularly in women. Early identification and intervention may help prevent diabetes in later life.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT01053195

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          Most cited references22

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          Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study

          Abstract Objective To assess the prevalence of diabetes and its risk factors. Design Population based, cross sectional study. Setting 31 provinces in mainland China with nationally representative cross sectional data from 2015 to 2017. Participants 75 880 participants aged 18 and older—a nationally representative sample of the mainland Chinese population. Main outcome measures Prevalence of diabetes among adults living in China, and the prevalence by sex, regions, and ethnic groups, estimated by the 2018 American Diabetes Association (ADA) and the World Health Organization diagnostic criteria. Demographic characteristics, lifestyle, and history of disease were recorded by participants on a questionnaire. Anthropometric and clinical assessments were made of serum concentrations of fasting plasma glucose (one measurement), two hour plasma glucose, and glycated haemoglobin (HbA1c). Results The weighted prevalence of total diabetes (n=9772), self-reported diabetes (n=4464), newly diagnosed diabetes (n=5308), and prediabetes (n=27 230) diagnosed by the ADA criteria were 12.8% (95% confidence interval 12.0% to 13.6%), 6.0% (5.4% to 6.7%), 6.8% (6.1% to 7.4%), and 35.2% (33.5% to 37.0%), respectively, among adults living in China. The weighted prevalence of total diabetes was higher among adults aged 50 and older and among men. The prevalence of total diabetes in 31 provinces ranged from 6.2% in Guizhou to 19.9% in Inner Mongolia. Han ethnicity had the highest prevalence of diabetes (12.8%) and Hui ethnicity had the lowest (6.3%) among five investigated ethnicities. The weighted prevalence of total diabetes (n=8385) using the WHO criteria was 11.2% (95% confidence interval 10.5% to 11.9%). Conclusion The prevalence of diabetes has increased slightly from 2007 to 2017 among adults living in China. The findings indicate that diabetes is an important public health problem in China.
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            The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis

            Background The effects of systolic blood pressure (SBP), serum total cholesterol (TC), fasting plasma glucose (FPG), and body mass index (BMI) on the risk of cardiovascular diseases (CVD) have been established in epidemiological studies, but consistent estimates of effect sizes by age and sex are not available. Methods We reviewed large cohort pooling projects, evaluating effects of baseline or usual exposure to metabolic risks on ischemic heart disease (IHD), hypertensive heart disease (HHD), stroke, diabetes, and, as relevant selected other CVDs, after adjusting for important confounders. We pooled all data to estimate relative risks (RRs) for each risk factor and examined effect modification by age or other factors, using random effects models. Results Across all risk factors, an average of 123 cohorts provided data on 1.4 million individuals and 52,000 CVD events. Each metabolic risk factor was robustly related to CVD. At the baseline age of 55–64 years, the RR for 10 mmHg higher SBP was largest for HHD (2.16; 95% CI 2.09–2.24), followed by effects on both stroke subtypes (1.66; 1.39–1.98 for hemorrhagic stroke and 1.63; 1.57–1.69 for ischemic stroke). In the same age group, RRs for 1 mmol/L higher TC were 1.44 (1.29–1.61) for IHD and 1.20 (1.15–1.25) for ischemic stroke. The RRs for 5 kg/m2 higher BMI for ages 55–64 ranged from 2.32 (2.04–2.63) for diabetes, to 1.44 (1.40–1.48) for IHD. For 1 mmol/L higher FPG, RRs in this age group were 1.18 (1.08–1.29) for IHD and 1.14 (1.01–1.29) for total stroke. For all risk factors, proportional effects declined with age, were generally consistent by sex, and differed by region in only a few age groups for certain risk factor-disease pairs. Conclusion Our results provide robust, comparable and precise estimates of the effects of major metabolic risk factors on CVD and diabetes by age group.
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              The thrifty phenotype hypothesis

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                Author and article information

                Journal
                Nutr Res Pract
                Nutr Res Pract
                NRP
                Nutrition Research and Practice
                The Korean Nutrition Society and the Korean Society of Community Nutrition
                1976-1457
                2005-6168
                August 2023
                13 March 2023
                : 17
                : 4
                : 780-788
                Affiliations
                [1 ]Qingdao Centers for Disease Control and Prevention, Qingdao 266033, China.
                [2 ]Qingdao Institute of Preventive Medicine, Qingdao 266033, China.
                [3 ]School of Public Health, Guangzhou Medical University, Guangzhou 510000, China.
                [4 ]Department of Endocrine and Diabetes, Weifang Medical College, Weifang 261000, China.
                [5 ]Qingdao Endocrinology and Diabetes Hospital, Qingdao 266033, China.
                [6 ]Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao 266021, China.
                [7 ]Department of Public Health, University of Helsinki, FI00014, Helsinki, Finland.
                Author notes
                Corresponding Author: Ruqin Gao. Qingdao Centers for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao 266033, China. Tel. +86-532-85650292, Fax. +86-532-85650292, gaorq2018@ 123456163.com
                Corresponding Author: Dongfeng Zhang. Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao 266021, China. Tel. +86-532-82991912, Fax. +86-532-82991912, zhangdf1961@ 123456126.com

                *Feng Ning and Jing Zhao contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-0168-1613
                https://orcid.org/0000-0001-6736-6136
                https://orcid.org/0000-0001-6265-7903
                https://orcid.org/0000-0001-7747-7649
                https://orcid.org/0000-0001-9225-9674
                https://orcid.org/0000-0003-3526-1596
                https://orcid.org/0000-0002-1454-0230
                https://orcid.org/0000-0001-8944-3980
                https://orcid.org/0000-0001-9470-396X
                https://orcid.org/0000-0002-3845-7829
                https://orcid.org/0000-0001-9308-9371
                https://orcid.org/0000-0003-4746-0074
                Article
                10.4162/nrp.2023.17.4.780
                10375332
                37529266
                ea159ff3-1e54-44ce-a05e-43cc103eeca1
                ©2023 The Korean Nutrition Society and the Korean Society of Community Nutrition

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 April 2022
                : 23 August 2022
                : 09 January 2023
                Funding
                Funded by: World Diabetes Foundation, CrossRef https://doi.org/10.13039/501100018939;
                Award ID: WDF05-108&07-308
                Funded by: Postdoctoral Research Foundation of China, CrossRef https://doi.org/10.13039/501100010031;
                Award ID: 2016M590623
                Funded by: Qingdao Outstanding Health Professional Development Fund
                Funded by: Qingdao Science and Technology Fund
                Award ID: 21-1-4-rkjk-1-nsh
                Categories
                Original Research

                Nutrition & Dietetics
                famine,type 2 diabetes,adult,prospective study
                Nutrition & Dietetics
                famine, type 2 diabetes, adult, prospective study

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