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Clustering of Non-communicable Diseases Risk Factors in Healthy Adults Aged 35 Years and Older in Shenzhen, China / 生物医学与环境科学(英文)
Article in English | WPRIM (Western Pacific) | ID: wpr-311365
Responsible library: WPRO
ABSTRACT
We assessed the prevalence of non- communicable diseases (NCDs) risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising a regionally representative sample of 806 healthy adults aged 35 years or older, were obtained to determine the prevalence of five risk factors for NCDs. The prevalence of current smoking, central obesity, impaired fasting glucose, borderline hypertension, and borderline high total cholesterol was 19.97%, 28.29%, 4.47%, 10.55%, and 36.10%, respectively. A total 63.77% of participants had at least one risk factor. Upon examination of risk factor clustering, we observed that 7.57% of participants had at least three risk factors. Using this threshold as a cutoff, clustering of risk factors was associated with sex [odds ratio (OR) = 3.336, 95% confidence interval (CI) 1.782 to 6.246], physical activity (OR = 1.913, 95% CI 1.009 to 3.628), and BMI (OR = 7.376, 95% CI 3.812 to 14.270). The prevalence of risk factors for NCDs is fairly high among healthy adults in Shenzhen, with a clustering tendency.
Subject(s)

Full text: Available Database: WPRIM (Western Pacific) Main subject: Cluster Analysis / China / Epidemiology / Risk Factors / Noncommunicable Diseases Type of study: Etiology study / Risk factors Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Biomedical and Environmental Sciences Year: 2017 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Main subject: Cluster Analysis / China / Epidemiology / Risk Factors / Noncommunicable Diseases Type of study: Etiology study / Risk factors Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Biomedical and Environmental Sciences Year: 2017 Document type: Article
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