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±èÁ¾ÀÓ ( Kim Jong-Im ) - ´ëÀüº¸°Ç´ëÇÐ
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Abstract
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Purpose: The survey-based study aimed to determine the distribution and clustering tendency of metabolic syndrome risk factors in urban residents, and cluster odds ratios.
Methods: Cluster sampling involved 827 urban participants and analysis of the collected data.
Results: Regarding the prevalence of metabolic syndrome risk factors used for diagnosis, abdominal obesity was higher in women(69.5%) than in men(34.3%), high blood pressure was higher in men(57%) than in women(46.5%), and blood sugar was higher in men(6.9%) than in women(5.7%). Clustering increased with increasing body mass index(BMI), weight:height ratio(W/Ht) and abdominal obesity Risk factors for females were 1.7 times higher than for males. Participants with a family history of metabolic syndrome displayed related risk factors 1.5 times more than participants without a family history. Participants having a BMI ranking them as obese were 9.5 times more likely to display metabolic syndrome risk factors than non-obese participants. Obese participants were 20 times more likely to display risk factors than non-obese participants.
Conclusion: BMI, W/Ht and abdominal obesity correlate with clustering of metabolic syndrome risk factors. The risk is increased by smoking and family history. Exercise weight control and non-smoking are recommended for comprehensive management of clustering of metabolic syndrome risk factors.
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KeyWords
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´ë»çÁõÈıº, ±ºÁýÈ, ºñ¸¸
Metabolic syndrome, Cluster analysis, Obesity
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