Niloofar Peykari1, Sadaf Ghajarieh Sepanlou2, Shirin Djalalinia3, Amir Kasaeian4, Mahboubeh Parsaeian4, Alireza Ahmadvand4, Jalil Koohpayehzadeh5, Behzad Damari6, Hamid Reza Jamshidi7, Bagher Larijani8, Farshad Farzadfar3. 1. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran, Non-communicable Diseases Research Center, Endocrinology and Metabolism Population Science Institute, Tehran University of Medical Sciences, Tehran, Iran, Development of Research and Technology Center, Deputy of Research and Technology, Ministry of Health and Medical Education, Tehran, Iran. f-farzadfar@tums.ac.ir, Larijanib@tums.ac.ir. 2. Non-communicable Diseases Research Center, Endocrinology and Metabolism Population Science Institute, Tehran University of Medical Sciences, Tehran, Iran Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences. 3. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran Non-communicable Diseases Research Center, Endocrinology and Metabolism Population Science Institute. 4. Non-communicable Diseases Research Center, Endocrinology and Metabolism Population Science Institute, Tehran University of Medical Sciences, Tehran, Iran Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Med. 5. Community Medicine Department, Iran University of Medical Sciences, Tehran, Iran. 6. Health Information Managment Research Center, Tehran University of Medical Sciences, Tehran, Iran. 7. School of Medicine, Department of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 8. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Abstract
BACKGROUND: Non-communicable diseases (NCDs) and their risk factors are the major public health problems. There are some documented trend and point estimations of metabolic risk factors for Iranian population but there are little information about their exposure distribution at sub-national level and no information about their trends and their effects on the population health. METHODS: The present study protocol is aimed to provide the standard structure definitions, organization, data sources, methods of data gathering or generating, and data on trend analysis of the metabolic risk factors in NASBOD study. We will estimate 1990 to 2013 trends of prevalence, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) and disability-adjusted life years DALYs for MRFs by gender, age group, and province. We will also quantify the uncertainty interval for the estimates of interest. CONCLUSION: The findings of study could provide practical information regarding metabolic risk factors and their burden for better health policy to reduce the burden of diseases, and to plan cost-effective preventive strategies. The results also could be used for future complementary global, regional, national, and sub national studies.
BACKGROUND: Non-communicable diseases (NCDs) and their risk factors are the major public health problems. There are some documented trend and point estimations of metabolic risk factors for Iranian population but there are little information about their exposure distribution at sub-national level and no information about their trends and their effects on the population health. METHODS: The present study protocol is aimed to provide the standard structure definitions, organization, data sources, methods of data gathering or generating, and data on trend analysis of the metabolic risk factors in NASBOD study. We will estimate 1990 to 2013 trends of prevalence, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) and disability-adjusted life years DALYs for MRFs by gender, age group, and province. We will also quantify the uncertainty interval for the estimates of interest. CONCLUSION: The findings of study could provide practical information regarding metabolic risk factors and their burden for better health policy to reduce the burden of diseases, and to plan cost-effective preventive strategies. The results also could be used for future complementary global, regional, national, and sub national studies.