Diabetes prevalence in rural Indigenous Guatemala: A geographic-randomized cross-sectional analysis of risk

Developing countries and Indigenous populations are disproportionately affected by global trends in diabetes (T2DM), but inconsistent data are available to corroborate this pattern in Guatemala and indigenous communities in Central America. Historic estimates of T2DM, using a variety of sampling tec...

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Veröffentlicht in:	PloS one 2018-08, Vol.13 (8), p.e0200434-e0200434
Hauptverfasser:	Bream, Kent D W, Breyre, Amelia, Garcia, Kristian, Calgua, Erwin, Chuc, Juan M, Taylor, Lynne
Format:	Artikel
Sprache:	eng
Schlagworte:	Adipose tissue Age Aging Biology and life sciences Body mass Cardiovascular disease Confidence intervals Cross-sectional studies Demographic aspects Developing countries Diabetes Diabetes mellitus Diagnostic systems Epidemics Glucose Health disparities Health risks Hemoglobin Households Identification methods Indigenous peoples LDCs Medicine Medicine and Health Sciences Metabolism Obesity People and places Population Populations Prevalence studies (Epidemiology) Public health Random sampling Randomization Regression analysis Risk analysis Risk assessment Risk factors Rural areas Rural communities Sampling Sampling methods Sampling techniques Social Sciences Statistical analysis Statistical sampling Systematic review Type 2 diabetes Underserved populations Womens health
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