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Multimorbidity: Epidemiology and Risk Factors in the Golestan Cohort Study, Iran a Cross-Sectional Analysis Publisher Pubmed



Ahmadi B1 ; Alimohammadian M2, 3, 4 ; Yaseri M5 ; Majidi A2 ; Boreiri M2, 3 ; Islami F2, 6 ; Poustchi H2, 3 ; Derakhshan MH3, 8 ; Feizesani A2, 3 ; Pourshams A2, 3, 9 ; Abnet CC10 ; Brennan P7 ; Dawsey SM10 ; Kamangar F2, 12 Show All Authors
Authors
  1. Ahmadi B1
  2. Alimohammadian M2, 3, 4
  3. Yaseri M5
  4. Majidi A2
  5. Boreiri M2, 3
  6. Islami F2, 6
  7. Poustchi H2, 3
  8. Derakhshan MH3, 8
  9. Feizesani A2, 3
  10. Pourshams A2, 3, 9
  11. Abnet CC10
  12. Brennan P7
  13. Dawsey SM10
  14. Kamangar F2, 12
  15. Boffetta P11
  16. Sadjadi A2, 3
  17. Malekzadeh R2, 3
Show Affiliations
Authors Affiliations
  1. 1. Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Digestive Disease Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Human Ecology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Surveillance and Health Services Research, American Cancer Society, Atlanta, GA, United States
  7. 7. Institute for Translational Epidemiology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
  8. 8. Division of Cardiovascular and Medical Sciences, Section of Gastroenterology, University of Glasgow, Glasgow, United Kingdom
  9. 9. Liver and Pancreatic-biliary Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  10. 10. Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
  11. 11. International Agency for Research on Cancer, Genetic Epidemiology Group, Lyon, France
  12. 12. Department of Public Health Analysis, School of Community Health and Policy, Morgan State University, Baltimore, MD, United States

Source: Medicine (United States) Published:2016


Abstract

Advances in medicine and health policy have resulted in growing of older population, with a concurrent rise in multimorbidity, particularly in Iran, as a country transitioning to a western lifestyle, and in which the percent of the population over the age of 60 years is increasing. This study aims to assess multimorbidity and the associated risk factors in Iran. We used data from 50,045 participants (age 40-75 y) in the Golestan Cohort Study, including data on demographics, lifestyle habits, socioeconomic status, and anthropometric indices. Multimorbidity was defined as the presence of 2 or more out of 8 self-reported chronic conditions, including cardiovascular diseases, diabetes, chronic obstructive pulmonary disease, chronic kidney disease, liver disease, gastroesophageal reflux disease, tuberculosis, and cancer. Multivariate logistic regression models were used to examine the associations between multiple different factors and the risk factors. Multimorbidity prevalence was 19.4%, with the most common chronic diseases being gastroesophageal reflux disease (76.7%), cardiovascular diseases (72.7%), diabetes (25.3%), and chronic obstructive pulmonary disease (21.9%). The odds of multimorbidity was 2.56-fold higher at the age of >60 years compared with that at <50 years (P<0.001), and 2.11-fold higher in women than in men (P<0.001). Other factors associated with higher risk of multimorbidity included non-Turkmen ethnicity, low education, unemployment, low socioeconomic status, physical inactivity, overweight, obesity, former smoking, opium and alcohol use, and poor oral health. Apart from advanced age and female sex, the most important potentially modifiable lifestyle factors, including excess body weight and opium use, and opium user, are associated with multimorbidity. Policies aiming at controlling multimorbidity will require a multidimensional approach to reduce modifiable risk factors in the younger population in developing countries alongside adopting efficient strategies to improve life quality in the older population. © 2016 Wolters Kluwer Health, Inc. All rights reserved.
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