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[Incidence and risk factors of metabolic syndrome in rural community population on islands in Zhejiang province].
Yang, S Y; Li, S T; Ying, X H; Zhou, W Y; Wang, N; Jiang, Q W; Fu, C W.
Afiliação
  • Yang SY; School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education/Key Laboratory of Health Technology Assessment, National Health and Health Commission, Fudan University, Shanghai 200032, China.
  • Li ST; Yuhuan County Center for Disease Control and Prevention, Yuhuan 317600, China.
  • Ying XH; Yuhuan County Center for Disease Control and Prevention, Yuhuan 317600, China.
  • Zhou WY; Yuhuan County Center for Disease Control and Prevention, Yuhuan 317600, China.
  • Wang N; School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education/Key Laboratory of Health Technology Assessment, National Health and Health Commission, Fudan University, Shanghai 200032, China.
  • Jiang QW; School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education/Key Laboratory of Health Technology Assessment, National Health and Health Commission, Fudan University, Shanghai 200032, China.
  • Fu CW; School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education/Key Laboratory of Health Technology Assessment, National Health and Health Commission, Fudan University, Shanghai 200032, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(3): 387-391, 2022 Mar 10.
Article em Zh | MEDLINE | ID: mdl-35345295
ABSTRACT

Objective:

To estimate the incidence of metabolic syndrome and explore possible risk factors for metabolic syndrome in adults of rural communities in Yuhuan county, Zhejiang province, China.

Methods:

During June-December, 2018, a follow-up survey was conducted in participants without metabolic syndrome at baseline survey in 2012 to obtain the information collected in questionnaire survey, anthropometric data and laboratory data. The incidence of metabolic syndrome in the participants was estimated, and Logistic regression model was used to explore the risk factors, adjusted risk ratio (aRR) and 95%CI.

Results:

Among 3 162 participants, 522 new metabolic syndrome cases were identified. The 6-year cumulative incidence rate of metabolic syndrome was 16.5%, and the cumulative incidence rate was higher in women (20.6%) than that in men (12.3%, P<0.001). Those incidence rates were higher in those in jobless, smoking or drinking groups. Being women (aRR=1.96, 95%CI 1.50-2.58) and family history of hypertension (aRR=1.31, 95%CI 1.04-1.63) were independent risk factors for metabolic syndrome.

Conclusion:

The follow up indicated that the incidence of metabolic syndrome was relatively high in rural adults on islands in Zhejiang, and women or those with family history of hypertension were more likely to have metabolic syndrome.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / Síndrome Metabólica Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Adult / Female / Humans / Male Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / Síndrome Metabólica Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Adult / Female / Humans / Male Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China