The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Exposure to the Chinese famine of 1959–61 in early life and long-term health conditions: a systematic review and meta-analysis
Open accessAbstract
Background: Most Chinese people over 55 years old today have experienced the Great Leap Forward Famine of 1959-61. Many reports suggested that the famine could have profound long-term health effects for exposed birth cohorts. A systematic review and meta-analysis was carried out to summarize reported famine effects on long-term health. Methods: Relevant reports were identified by searching PubMed, Embase, Chinese Wanfang Data and Chinese National Knowledge Infrastructure databases. Long-term health conditions were compared in exposed birth cohorts and unexposed controls. Fixed-effects models and random-effects models were used to combine results on adult overweight, obesity, type 2 diabetes, hyperglycaemia, hypertension, the metabolic syndrome and schizophrenia. The heterogeneity across reports was assessed. Subgroup analyses were carried out using reported famine severity, provincial mortality during famine, sex and other report characteristics. Results: In all, 36 reports were eligible for systematic review and 21 could be used for meta-analysis. The number of events we analysed ranged from 1029 for hyperglycaemia to 8973 for hypertension. As reported by others, overweight, type 2 diabetes, hyperglycaemia, the metabolic syndrome, and schizophrenia were more common among adults born during the famine compared with controls born after the famine. By contrast, there were no increases in overweight [odds ratio (OR) 0.68; 95% confidence interval (CI): 0.27-1.72], type 2 diabetes (OR 0.96; 95% CI: 0.73-1.28), hyperglycaemia (OR 0.99; 95% CI: 0.72-1.36) or the metabolic syndrome (OR 1.11; 95% CI: 1.00-1.22) comparing adults born during the famine with controls born either after or before the famine. For schizophrenia, the effect estimates (OR 1.60; 95% CI: 1.50-1.70, combining control groups) were similar in the two scenarios. Conclusions: Our findings suggest that uncontrolled age differences between famine and post-famine births could explain most effects commonly attributed to the famine. For more reliable estimates of long-term famine effects in China, other analyses will be needed with age-appropriate controls and better information on the severity and timing of the famine in the populations included.
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Cites
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031
Glucose tolerance in adults after prenatal exposure to famine
Ravelli, A., van der Meulen, J., Michels, R., Osmond, C., Barker, D., Hales, C., & Bleker, O. (1998) · The Lancet · doi:10.1016/s0140-6736(97)07244-9 · Cited by 1,606
The burden and costs of chronic diseases in low-income and middle-income countries.
Abegunde, D. O., Mathers, C. D., Adam, T., Ortegon, M., & Strong, K. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61696-1 · Cited by 1,603
Empirical assessment of effect of publication bias on meta-analyses
Sutton, A. J. (2000) · BMJ · doi:10.1136/bmj.320.7249.1574 · Cited by 1,398
Chen, Z., Chen, J., Collins, R., Guo, Y., Peto, R., Wu, F., Li, L., & on behalf of the China Kadoorie Biobank (CKB) collaborative group (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr120 · Cited by 1,034 · cited 4×
“The rapidly increasing burden of chronic disease is a major public health challenge for emerging economics across the world, including China.1–3 Common factors contributing to this problem, especially among the large number of populations experiencing growing prosperity, are increases in smoking, unhealthy diets and s…”
BackgroundInfluentialHuang, C., Li, Z., Venkat Narayan, K. M., Williamson, D. F., & Martorell, R. (2010) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174410000504 · Cited by 53
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Developmental origins of metabolic diseases
Hoffman, D. J., Powell, T. L., Barrett, E. S., & Hardy, D. B. (2021) · Physiological Reviews · doi:10.1152/physrev.00002.2020 · Cited by 466
Tobi, E. W., Slieker, R. C., Luijk, R., Dekkers, K. F., Stein, A. D., Xu, K. M., Biobank-based Integrative Omics Studies Consortium, Slagboom, P. E., van Zwet, E. W., Lumey, L. H., et al. (2018) · Science Advances · doi:10.1126/sciadv.aao4364 · Cited by 284
“The inclusion of individuals either conceived and born before the famine or conceived and bornafter the faminealsoallowsus to investigate andadjust for the influence of age, which is crucial (54).”
BackgroundSelf-citationWeinstein, Y., Levav, I., Gelkopf, M., Roe, D., Yoffe, R., Pugachova, I., & Levine, S. Z. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.024 · Cited by 16
Metadata
- Authors
- Li, C., & Lumey, L.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-03-03
- Volume
- 46
- Issue
- 4
- Pages
- 1157-1170
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2591679458
- Cited by
- 222
- References
- 6
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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