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Association between cardiovascular health metrics and risk of incident type 2 diabetes mellitus: the Rural Chinese Cohort Study

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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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Funding

This work was funded by the National Natural Science Foundation of China (Grant Numbers 81402752, 81673260 and 82103940) and the Natural Science Foundation of Guangdong Province (Grant Number 2019A1515011183). The funders had no role in the design, analysis or writing of this article. The investigators are grateful to the dedicated participants and all research staff of the study.

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Authors and Affiliations

  1. Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People’s Republic of China

    Pei Qin, Yang Li, Huifang Hu, Xi Li & Dongsheng Hu

  2. 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

    Dechen Liu, Yuying Wu, Fulan Hu, Ming Zhang, Yu Liu, Xizhuo Sun & Dongsheng Hu

  3. Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People’s Republic of China

    Yifei Feng, Xingjin Yang, Huifang Hu, Jinli Zhang, Tianze Li, Xi Li & Yang Zhao

  4. Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People’s Republic of China

    Chuanqi Chen

Authors
  1. Pei Qin
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  2. Dechen Liu
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  3. Yifei Feng
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  4. Xingjin Yang
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  5. Yang Li
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  6. Yuying Wu
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  7. Huifang Hu
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  8. Jinli Zhang
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  9. Tianze Li
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  10. Xi Li
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  11. Yang Zhao
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  12. Chuanqi Chen
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  13. Fulan Hu
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  14. Ming Zhang
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  15. Yu Liu
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  17. Dongsheng Hu
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Contributions

PQ, DL, XS, and DH substantially contributed to the design and drafting of the study and the analysis and interpretation of the data. YF, XY, YL, YW, HH, JZ, TL, YL, XS, XL, FH, YZ, and CC revised it critically for important intellectual content. DH, XS, and PQ take responsibility for the integrity of the data and accuracy of the data analysis.

Corresponding author

Correspondence to Dongsheng Hu.

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The authors declare that they have no conflict of interest.

Ethical Standard Statement

The study has been reviewed and approved by the Ethics Committee of Shenzhen University Health Science Center and have been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.

Informed consent

All participants provided informed consent prior to their inclusion in the study.

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Qin, P., Liu, D., Feng, Y. et al. Association between cardiovascular health metrics and risk of incident type 2 diabetes mellitus: the Rural Chinese Cohort Study. Acta Diabetol 59, 1063–1071 (2022). https://doi.org/10.1007/s00592-022-01896-x

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  • DOI: https://doi.org/10.1007/s00592-022-01896-x

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