Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Ali Farshbaf Khalili, Shahryar Razzaghi,Zeinab Nikniaz,Leila Nikniaz,Ali Hossein Zeinalzadeh

JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH(2023)

引用 0|浏览0
暂无评分
摘要
Introduction: Metabolic syndrome (MetS) is a prevalent metabolic disorder with increasing prevalence attributed to extended life expectancy. This study aims to investigate MetS prevalence and its determinants in the East-Azerbaijan population.Methods: Conducted as a cross-sectional study within the East Azerbaijan region, this research is based on a major Lifestyle Promotion Project. The study encompasses 700 participants aged 15 to 65 years, representing the general population and selected using probability proportional to size multistage stratified cluster sampling. MetS diagnoses were conducted using the adult Panel III criteria. Data on socio-demographics, smoking status, and physical activity levels were collected through questionnaires.Results: Among participants, the mean age was 42.4 +/- 12.38 years, and the mean body mass index was 27.69 +/- 4.94 kg/m2. The MetS group exhibited higher mean age and body mass index compared to the non-MetS group (P < 0.001). The prevalence of MetS in the population was 34.2%, with higher rates in females (37.1%) compared to males (30.5%), though this difference wasn't statistically significant (P = 0.11). Notably, a substantial distinction was observed between the two groups regarding education levels (P< 0.001).Conclusion: The study reveals a significant association between increasing age and higher prevalence of MetS. Furthermore, lower educational levels were linked to an elevated prevalence of MetS. While other socio-demographic factors didn't demonstrate statistically significant relationships, these findings emphasize the importance of targeted interventions and education in mitigating MetS risks.
更多
查看译文
关键词
Metabolic syndrome,Prevalence,Cross-sectional study,Risk factor,Iran
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要