Saturday, September 10, 2011

Health Survey-Global Prevalence of Diabetes



RESEARCH DESIGN AND METHODS

— Diabetes prevalence data for adults (20 years of age) were derived from studies meeting the following criteria: a defined, population-based sample and diagnosis of diabetes based on optimal WHO criteria (a venous plasma glucose concentration of 11.1 mmol/l 2 h after a 75-g glucose tolerance test). 
The exceptions to the latter criterion were the study in China, for which a test meal was used (4), and the study in Tanzania (5), in which fasting glucose alone gave a higher prevalence of diabetes than a previous study that used the optimal WHO criteria. 

Prevalence estimates for type 1 diabetes for people 20 years of age for individual countries were estimated from available incidence data using methods described in the International Diabetes Federation (IDF) Diabetes Atlas 2000 (6). 
Population-based data are not available for type 2 diabetes in people20 years of age, and this group has been excluded from these estimates. Age- and sex-specific estimates for diabetes prevalence were extrapolated to other countries using a combination of criteria including geographical proximity, ethnic, and socioeconomic similarities applied by the authors with the advice of the WHO regional officer and other
experts. 

Table 1 shows the studies used and the countries to which data were extrapolated. Surveys were generally performed on middle-aged populations, and data are more limited at younger and older ages. Data on diabetes prevalence are usually presented in broad age bands, which suggest a biologically implausible step-like increase in diabetes prevalence with increasing age. 
DISMOD II software (available from http://www3.who.int/whosis) was used to produce smoothed, agespecific estimates of diabetes prevalence from the available data from each study. 

Further details on DISMOD II have been published elsewhere (7). In summary, age- and sex-specific diabetes prevalence (derived from the studies listed in Table 1), remission (assumed to be zero), and estimates of relative risk of mortality among people with diabetes (see below) were entered into models. 
The model output provides estimates of prevalence, incidence, and mortality that are consistent with one another (7). 

Estimates of relative risk of all-cause mortality among people with diabetes, by age and sex, were derived from the limited number of cohort studies that provide this information (8–10). Estimated relative risks for all-cause mortality ranged between 1 (for the oldest agegroup, 80 years of age) and 4.1 (for 20–39 years of age) for men and between 1 (for 80 years of age) and 6.7 (for 20–39 years of age) for women. 
Further information on the estimation of agespecific relative risks is available in the draft Global Burden of Disease 2000 documentation (11). 

Mortality data were derived from developed countries (U.K., Sweden, and U.S.). As no information was available for developing countries, the same relative risks were assumed to apply. 
Data are required to test the validity of this assumption. Survival is unlikely to be better in developing countries than developed countries, and any bias in the approach we have taken would lead to conservative estimates of incidence of diabetes in developing countries but would not affect estimates of prevalence. 

Estimates of incidence and mortality are not presented in this report but are available from the authors and from the draft Global Burden of Disease 2000 documentation (11). 
The prevalence estimates were applied to population estimates for individual countries for 2000 and 2030, which were produced by the United Nations Population Division (12). 
Conventional, albeit simplistic, definitions of developed countries (Europe including former socialist economies, North America, Japan, Australia, and New Zealand) and less developed countries (all other countries) were used. In keeping with previous estimates, prevalence of diabetes was assumed to be similar in urban and rural areas of developed countries (2). 

For developing countries, urbanization was used as a proxy measure of the increased risk of diabetes associated with altered diet, obesity, decreased physical activity, and other factors such as stress, which are assumed to differ between urban and rural populations. For most developing countries, the prevalence of diabetes in

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