Prevalence of metabolic syndrome and its risk factors in Kerala, South India: Analysis of a community based cross-sectional study

被引:50
作者
Harikrishnan, S. [1 ]
Sarma, Smitha [2 ]
Sanjay, G. [1 ]
Jeemon, P. [3 ]
Krishnan, M. N. [4 ]
Venugopal, K. [5 ]
Mohanan, P. P. [6 ]
Jeyaseelan, L. [7 ]
Thankappanl, K. R. [1 ]
Zachariah, G. [8 ]
机构
[1] Sree Chitra Tirunal Inst Med Sci & Technol, Dept Cardiol, Thiruvananthapuram, Kerala, India
[2] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA
[3] Sree Chitra Tirunal Inst Med Sci & Technol, Achutha Menon Ctr Hlth Sci Studies, Thiruvananthapuram, Kerala, India
[4] Govt Med Coll, Dept Cardiol, Kozhikode, Kerala, India
[5] Pushpagiri Hosp, Dept Cardiol, Kottayam, Kerala, India
[6] Wesffort High Tech Hosp, Dept Cardiol, Trichur, Kerala, India
[7] Christian Med Coll & Hosp, Dept Biostat, Vellore, Tamil Nadu, India
[8] Mother Hosp, Dept Cardiol, Trichur, Kerala, India
关键词
CARDIOVASCULAR-DISEASE; HYPERTENSION; DEFINITION; DIAGNOSIS;
D O I
10.1371/journal.pone.0192372
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Coronary Artery Disease (CAD) is a leading cause of death and disability in Kerala, India. Metabolic syndrome (MS) is a constellation of established risk factors for CAD. We aimed to estimate the prevalence of MS and evaluate the association between MS and CAD using a community-based sample population. Methods A cross-sectional community based survey was conducted in urban and rural areas of Kerala in 2011. We included 5063 individuals for analysis. Age standardized prevalence of MS, associated diagnoses (hypertension, diabetes and hypercholesterolemia) and other potential risk factors were assessed for men and women in both urban and rural locations. Univariate and multivariate logistic regression models were developed to identify participant characteristics that are associated with MS. Results After standardization for age and adjustment for sex and urban-rural distribution, the prevalence of metabolic syndrome in Kerala was 24%, 29% and 33% for the NCEP ATP III, IDF and AHA/NHLBI Harmonization definitions, respectively. The mean (SD) age of the participants was 51 (14) years, and 60% were women. Women had a higher prevalence of MS than men (28% versus 20% for ATP III, p<0.001). Similarly, participants living in urban areas had higher prevalence of MS than their rural counterparts (26% versus 22%, p<0.001). Elevated body mass index, older age, and female sex were associated with MS in an adjusted multivariate model. The propensity for definite CAD was 1.7 times higher in individuals with MS defined based on ATP III criteria compared to those without MS (Adjusted OR = 1.69; 95% CI: 1.3-2.2, p<0.001). Conclusions One of four to one of three adult individuals in Kerala have MS based on different criteria. Higher propensity for CAD in individuals with MS in Kerala calls for urgent steps to prevent and control the burden of metabolic conditions.
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页数:16
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