Intergenerational influences on diabetes in a developing population
The Guangzhou Biobank Cohort Study
Bibliographic Data
| ID | 19458676 |
|---|---|
| Authors | Kavikondala (0000-0002-3615-0102, University of Hong Kong), S Kavikondala, C Q Jiang (0000-0001-6589-1068, Twelfth Guangzhou City People's Hospital), W S Zhang (Twelfth Guangzhou City People's Hospital), K K Cheng (0000-0002-1516-1857, University of Birmingham), Th Lam (0000-0002-2033-9971, University of Hong Kong), T H Lam, Genevieve Leung (0000-0002-2503-6283, University of Hong Kong), G M Leung, C Mary Schooling (0000-0001-9933-5887, University of Hong Kong, corresponding author) |
| Year | 2011 |
| Volume | 23 |
| Issue | 6 |
| Pages | 747-754 |
| Publication date | 2011-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 1042-0533 • E-ISSN: 1520-6300 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajhb.21206 |
| PMID | 21987430 |
| OpenAlex | W2059775785 |
| Language | EN |
| Citations received | 2 |
| References cited | 39 |
OBJECTIVES: Intergenerational "mismatch" and/or growth conditions may be relevant to the epidemic of diabetes in developing populations. In a rapidly developing southern Chinese population, we tested whether maternal environment, proxied by maternal literacy, or family socio-economic position (SEP), proxied by paternal literacy, were associated with fasting glucose and diabetes. To assess if intergenerational mismatch contributed, we tested whether the associations varied by life course SEP. METHODS: In 19,818 older (≥50 years) adults from the Guangzhou Biobank Cohort Study (phases 2 and 3), we used censored and logistic regression to assess the associations of maternal and paternal literacy with fasting glucose, elevated fasting glucose and diabetes and whether these associations varied by sex, age or life course SEP. RESULTS: Maternal, but not paternal, literacy was negatively associated with fasting plasma glucose (β-coefficient -0.06 mmol/l, 95% confidence interval (CI) -0.11 to -0.01) and elevated fasting glucose (odds ratio (OR) 0.92, 95% CI 0.86-0.99) adjusted for age, sex, study phase, life course SEP, childhood growth, adiposity, number of offspring, and birth order. Associations of maternal and paternal literacy with fasting glucose, elevated fasting glucose and diabetes did not vary by sex, age or life course SEP. CONCLUSION: Offspring of literate mothers had lower risk for impaired glucose tolerance than offspring of illiterate mothers. Being raised by literate mothers may increase the likelihood of children with higher SEP and lower long-term disease risk, or better maternal conditions over generations may be associated with lower fasting glucose
Biology · Cohort · Cohort study · Confidence interval · Developmental psychology · Diabetes mellitus · Environmental health · Impaired fasting glucose · Impaired glucose tolerance · Life course approach · Logistic regression · Odds ratio · Offspring · Population · Prediabetes · Pregnancy · Type 2 diabetes · Birth, Development, and Health · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Health Literacy and Information Accessibility · Medicine · Psychology · Endocrinology · Gerontology · Internal Medicine
Multiple imputation
Obesity at the age of 50 y in men and women exposed to famine prenatally
Type 2 (non-insulin-dependent) diabetes mellitus
Glucose tolerance in adults after prenatal exposure to famine
Fetal and infant growth and impaired glucose tolerance at age 64.
Maternal and child undernutrition
Education and Stratification in Developing Countries
Are height and leg length universal markers of childhood conditions? The Guangzhou Biobank cohort study
A socio-biological explanation for social disparities in non-communicable chronic diseases
Association of Education and the Occurrence of Low Birthweight in Rural Southern China During the Early and Late 1990s
Childhood predictors of late‐life diabetes
Intergenerational 'mismatch' and adiposity in a developing population
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,14 |
| Citation span | 2012 - 2017 (6) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |