Vulnerability to diabetes in Chinese: An age-period-cohort analysis

Annals of Epidemiology

Volumn 25, Issue 1, 2015, Pages 34-39

  Wong, Irene O L ^a   Cowling, Benjamin J ^a   Schooling, Catherine Mary ^a,b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Chinese; Diabetes mellitus; Economic development; Mortality; Secular trends

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; ASIAN; CHILD; CHINESE; COHORT ANALYSIS; DIABETES MELLITUS; ECONOMIC DEVELOPMENT; FEMALE; GROUPS BY AGE; HONG KONG; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MORTALITY; OBESITY; POTENTIAL DIFFERENCE; PRIORITY JOURNAL; RISK FACTOR; AGE; AGE DISTRIBUTION; ASIAN CONTINENTAL ANCESTRY GROUP; DEMOGRAPHY; SOCIAL ENVIRONMENT; SOCIOECONOMICS; STATISTICS AND NUMERICAL DATA; TRENDS;

ADOLESCENT; AGE DISTRIBUTION; AGE FACTORS; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; COHORT STUDIES; DIABETES MELLITUS; ECONOMIC DEVELOPMENT; FEMALE; HONG KONG; HUMANS; MALE; MORTALITY; RESIDENCE CHARACTERISTICS; RISK FACTORS; SOCIAL ENVIRONMENT; SOCIOECONOMIC FACTORS;

EID: 84923230113     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2014.10.010     Document Type: Article

References (32)

1. Xu Y., Wang L., He J., Bi Y., Li M., Wang T., et al. Prevalence and control of diabetes in Chinese adults. JAm Med Assoc 2013, 310:948-958.
2. Ma R.C., Chan J.C. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci 2013, 1281:64-91.
3. Hales C.N., Barker D.J. The thrifty phenotype hypothesis. Br Med Bull 2001, 2001:5-20.
4. Lumey L.H. Glucose tolerance in adults after prenatal exposure to famine. Lancet 2001, 357:472-473.
5. Fabbrini E., Tamboli R.A., Magkos F., Marks-Shulman P.A., Eckhauser A.W., Richards W.O., et al. Surgical removal of omental fat does not improve insulin sensitivity and cardiovascular risk factors in obese adults. Gastroenterology 2010, 139:448-455.
6. Schooling C.M., Jiang C., Zhang W., Lam T.H., Cheng K.K., Leung G.M. Adolescent build and diabetes: the Guangzhou Biobank Cohort Study. Ann Epidemiol 2011, 21:61-66.
7. Jones T.H., Arver S., Behre H.M., Buvat J., Meuleman E., Moncada I., et al. Testosterone replacement in hypogonadal men with type 2 diabetes and/or metabolic syndrome (the TIMES2 study). Diabetes Care 2011, 34:828-837.
8. Sparks L.M., Johannsen N.M., Church T.S., Earnest C.P., Moonen-Kornips E., Moro C., et al. Nine months of combined training improves exvivo skeletal muscle metabolism in individuals with type 2 diabetes. JClin Endocrinol Metab 2013, 98:1694-1702.
9. Srikanthan P., Karlamangla A.S. Relative muscle mass is inversely associated with insulin resistance and prediabetes. Findings from the third National Health and Nutrition Examination Survey. JClin Endocrinol Metab 2011, 96:2898-2903.
10. Maddison A. The world economy. A millennial perspective 2001, Organisation for Economic Co-operation and Development, Development Centre, Paris.
11. Tsang S. Amodern history of Hong Kong 2004, Hong Kong University Press, Hong Kong.
12. Wong I.O.L., Cowling B.J., Law S.C.K., Mang O.W.K., Schooling C.M., Leung G.M. Understanding socio-historical imprint on cancer risk by age-period-cohort decomposition in Hong Kong. JEpidemiol Community Health 2010, 64:596-603.
13. Chung R.Y., Schooling C.M., Cowling B.J., Leung G.M. How does socioeconomic development affect risk of mortality? An age-period-cohort analysis from a recently transitioned population in China. Am J Epidemiol 2010, 171:345-356.
14. Holford T.R. Understanding the effects of age, period, and cohort on incidence and mortality rates. Annu Rev Public Health 1991, 12:425-457.
15. Wong I.O.L., Cowling B.J., Schooling C.M., Leung G.M. Age-period-cohort projections of breast cancer incidence in a rapidly transitioning Chinese population. Int J Cancer 2007, 121:1556-1563.
16. Wong I.O., Cowling B.J., Leung G.M., Schooling C.M. Trends in mortality from septicaemia and pneumonia with economic development: an age-period-cohort analysis. PLoS One 2012, 7:e38988.
17. Yang Y., Schulhofer-Wohl S., Fu W.J., Land K.C. The intrinsic estimator for age-period-cohort analysis: what it is and how to use it. Am J Sociol 2008, 113:1697-1736.
18. Yang Y., Fu W.J., Land K.C. Amethodological comparison of age-period-cohort models: the intrinsic estimator and conventional generalized linear models. Sociological Methodology 2004, 34:75-110.
19. Bell A., Jones K. The impossibility of separating age, period and cohort effects. Soc Sci Med 2013, 93:163-165.
20. Holford T. Analyzing the effects of age, period and cohort on incidence and mortality rates. Stat Methods Med Res 1992, 1:317-337.
21. Clayton D., Schifflers E. Models for temporal variation in cancer rates, II: age-period-cohort models. Stat Med 1987, 6:469-481.
22. Luo L. Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography 2013, 50:1945-1967.
23. Bell A., Jones K. Don't birth cohorts matter? A commentary and simulation exercise on Reither, Hauser, and Yang's (2009) age-period-cohort study of obesity. Soc Sci Med 2014, 101:176-180.
24. Bray I. Application of Markov chain Monte Carlo methods to projecting cancer incidence and mortality. JR Stat Soc Ser C Appl Stat 2002, 51:151-164.
25. Bray I., Brennan P., Boffetta P. Projections of alcohol- and tobacco-related cancer mortality in Central Europe. Int J Cancer 2000, 87:122-128.
26. Bray I., Brennan P., Boffetta P. Recent trends and future projections of lymphoid neoplasms - a Bayesian age-period-cohort analysis. Cancer Causes Control 2001, 12:813-820.
27. Speigelhalter D.J., Best N.G., Carlin B.P., van der Linde A. Bayesian measures of model complexity and fit. JR Statist Soc B 2002, 583-639.
28. Cockram C.S. The epidemiology of diabetes mellitus in the Asia-Pacific region. Hong Kong Med J 2000, 6:43-52.
29. Finkelstein J.S., Lee H., Burnett-Bowie S.A., Pallais J.C., Yu E.W., Borges L.F., et al. Gonadal steroids and body composition, strength, and sexual function in men. NEngl J Med 2013, 369:1011-1022.
30. Basaria S., Coviello A.D., Travison T.G., Storer T.W., Farwell W.R., Jette A.M., et al. Adverse events associated with testosterone administration. NEngl J Med 2010, 363:109-122.
31. Manson J.E., Chlebowski R.T., Stefanick M.L., Aragaki A.K., Rossouw J.E., Prentice R.L., et al. Menopausal hormone therapy and health outcomes during the intervention and extended poststopping phases of the women's health initiative randomized trials. JAm Med Assoc 2013, 13:1353-1368.
32. Xu L., Au Yeung S.L., Kavikondala S., Leung G.M., Schooling C.M. Testosterone concentrations in young healthy US versus Chinese men. Am J Hum Biol 2014, 26:99-102.