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Association between cardiovascular health metrics and risk of incident type 2 diabetes mellitus: the Rural Chinese Cohort Study.
Qin, Pei; Liu, Dechen; Feng, Yifei; Yang, Xingjin; Li, Yang; Wu, Yuying; Hu, Huifang; Zhang, Jinli; Li, Tianze; Li, Xi; Zhao, Yang; Chen, Chuanqi; Hu, Fulan; Zhang, Ming; Liu, Yu; Sun, Xizhuo; Hu, Dongsheng.
Afiliação
  • Qin P; Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
  • Liu D; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
  • Feng Y; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Yang X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Li Y; Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
  • Wu Y; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
  • Hu H; Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
  • Zhang J; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Li T; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Li X; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Zhao Y; Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
  • Chen C; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Hu F; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
  • Zhang M; Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People's Republic of China.
  • Liu Y; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
  • Sun X; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
  • Hu D; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
Acta Diabetol ; 59(8): 1063-1071, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35643944
ABSTRACT

AIMS:

The evidence for association between cardiovascular health (CVH) metrics and type 2 diabetes mellitus (T2DM) in Chinese population is limited. We explored the association between the number of ideal CVH metrics and risk of incident T2DM in a rural Chinese population. MATERIALS AND

METHODS:

A total of 12,150 rural Chinese participants (median age 51 years) were enrolled. A Cox proportional-hazards model was used to assess the association between the number of ideal CVH metrics and risk of incident T2DM by using hazard ratios (HRs) and 95% confidence intervals (CIs). We another conducted multiplicative and additive interaction effect between the number of ideal CVH metrics and sex or age on incident T2DM, and subgroup analyses of the association were also conducted by sex and age.

RESULTS:

During a median of 6.01 years of follow-up, 840 incident cases of T2DM occurred. The number of ideal CVH metrics was negatively associated with risk of incident T2DM (per unit increase HR = 0.76, 95% CI 0.70-0.82). We also observed both multiplicative and additive interaction effect between lower number of ideal CVH metrics and sex on incident T2DM, and multiplicative interaction effect between lower number of ideal CVH metrics and age on incident T2DM was observed. The association remained statistically significant for both men and women, or participants with age < 65 years.

CONCLUSIONS:

Increasing number of ideal CVH metrics was associated with reduced risk of incident T2DM, which presented age- and sex-related differential associations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Sistema Cardiovascular / Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Acta Diabetol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Sistema Cardiovascular / Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Acta Diabetol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2022 Tipo de documento: Article