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Impact of Dietary and Metabolic Risk Factors on Cardiovascular and Diabetes Mortality in South Asia: Analysis From the 2010 Global Burden of Disease Study.
- Source :
- American Journal of Public Health; Dec2016, Vol. 106 Issue 12, p2113-2125, 13p
- Publication Year :
- 2016
-
Abstract
- Objectives. To quantify cardiovascular disease and diabetes deaths attributable to dietary and metabolic risks by country, age, sex, and time in South Asian countries. Methods. We used the 2010 Global Burden of Disease national surveys to characterize risk factor levels by age and sex. We derived etiological effects of risk factors-disease endpoints, by age, from meta-analyses. We defined optimal levels. We combined these inputs with cause-specific mortality rates to compute population-attributable fractions as a percentage of total cardiometabolic deaths. Results. Suboptimal diet was the leading cause of cardiometabolic mortality in 4 of 5countries, with population-attributable fractions from 40.7% (95% uncertainty interval = 37.4, 44.1) in Bangladesh to 56.9% (95% uncertainty interval = 52.4, 61.5) in Pakistan. High systolic blood pressure was the second leading cause, except in Bangladesh, where it superseded suboptimal diet. This was followed in all nations by high fasting plasma glucose, low fruit in take, and low whole grain in take. Other prominent burdens were more variable, such as low in take of vegetables, low omega-3 fats, and high sodium intake in India, Nepal, and Pakistan. Conclusions. Important similarities and differences are evident in cardiometabolic mortality burdens of modifiable dietary and metabolic risks across these countries, informing health policy and program priorities. [ABSTRACT FROM AUTHOR]
- Subjects :
- TWENTY-first century
HEALTH
SOCIAL history
CARDIOVASCULAR disease related mortality
DIABETES
STROKE-related mortality
AGE distribution
CARDIOVASCULAR diseases risk factors
DIET
RESEARCH methodology
META-analysis
MORTALITY
POPULATION geography
RISK assessment
SEX distribution
SECONDARY analysis
BODY mass index
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00900036
- Volume :
- 106
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- American Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 119428792
- Full Text :
- https://doi.org/10.2105/AJPH.2016.303368