Abstract
This study is based on an unique dataset of birth records of 11,693 persons born in Beijing, China from 1921–54 and from clinical
examinations (May 2003–April 2005) of 2,085 tracked surviving cohort members (aged 50–82) to diagnose seven major chronic
diseases. Data were analyzed using the extended Fixed Attribute Dynamics (FAD) method and multivariate regressions. The results
of our FAD analysis have shown that, as compared to the persons with low birth weight (<2,500 g), the probability of survival
from age 0 to ages 50–56, 63–67 and 68–82 for persons with higher birth weight (2,500–2,999 g, 3,000–3499 g, or ≥3,500 g)
was 16–31, 62–104, and 52–108% higher respectively. These estimates display similar patterns for both genders, with somewhat
stronger effects in men. Of the 27 estimates of the Odds Ratio of Survival in the FAD analysis, 21 are statistically significant.
Controlling for 14 confounding factors, multivariate binary logistic regressions have demonstrated that the risk of having cardiovascular disease and diabetes is negatively associated birth weight; ordinal logit regressions have shown that the number of major chronic diseases at ages 50–82 is significantly associated with birth weight: the lower
the birth weight, the higher the risk of having more chronic diseases. We conclude that low birth weight is negatively associated
with 1) long-term survival probability from age 0 to ages 50–82, and 2) overall health at middle and old ages. Further research
is needed to understand the mechanisms of these effects.
examinations (May 2003–April 2005) of 2,085 tracked surviving cohort members (aged 50–82) to diagnose seven major chronic
diseases. Data were analyzed using the extended Fixed Attribute Dynamics (FAD) method and multivariate regressions. The results
of our FAD analysis have shown that, as compared to the persons with low birth weight (<2,500 g), the probability of survival
from age 0 to ages 50–56, 63–67 and 68–82 for persons with higher birth weight (2,500–2,999 g, 3,000–3499 g, or ≥3,500 g)
was 16–31, 62–104, and 52–108% higher respectively. These estimates display similar patterns for both genders, with somewhat
stronger effects in men. Of the 27 estimates of the Odds Ratio of Survival in the FAD analysis, 21 are statistically significant.
Controlling for 14 confounding factors, multivariate binary logistic regressions have demonstrated that the risk of having cardiovascular disease and diabetes is negatively associated birth weight; ordinal logit regressions have shown that the number of major chronic diseases at ages 50–82 is significantly associated with birth weight: the lower
the birth weight, the higher the risk of having more chronic diseases. We conclude that low birth weight is negatively associated
with 1) long-term survival probability from age 0 to ages 50–82, and 2) overall health at middle and old ages. Further research
is needed to understand the mechanisms of these effects.
- Content Type Journal Article
- Pages 1-17
- DOI 10.1007/s12062-011-9035-7
- Authors
- Yi Zeng, Center for the Study of Aging and Human Development and Geriatrics Division, School of Medical, Duke University, Box 3003, Durham, NC 27710, USA
- Zhenxin Zhang, Department of Neurology and Research Center for Clinical Epidemiology, Peking Union Medical College Hospital, Beijing, China
- Tao Xu, Department of Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- Zhongjie Fan, Department of Cardiology, Peking Union Medical College Hospital, Beijing, China
- Xinhua Xiao, Department of Endocrinology, Peking Union Medical College Hospital, Beijing, China
- Xia Chen, Department of Neurology and Research Center for Clinical Epidemiology, Peking Union Medical College Hospital, Beijing, China
- Zishi Wang, Department of Cardiology, Peking Union Medical College Hospital, Beijing, China
- Enling Ma, Peking Union Medical College Hospital, Beijing, China
- Danan Gu, Center for the Study of Aging and Human Development and Geriatrics Division, School of Medical, Duke University, Box 3003, Durham, NC 27710, USA
- Fengyu Zhang, Department of Statistics and Epidemiology, Research Triangle Institute, Research Triangle Park, NC USA
- Joseph M. Corless, School of Medicine, Duke University, Durham, NC USA
- Journal Journal of Population Ageing
- Online ISSN 1874-7876
- Print ISSN 1874-7884