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Impact of temperature changes between neighboring days on cardiovascular disease hospital admissions among suburban farmers in Qingyang, Northwest China

Abstract

Background

No studies focused on impact of temperature changes between neighboring days (TCN) on cardiovascular disease (CVD) hospital admissions among suburban farmers although CVD has been the main cause to global mortality and disability especially in undeveloped and developing countries/areas.

Method

Daily data of CVD hospital admissions on suburban farmers and daily data of meteorology in Qingyang (China) were collected during 2011–2015. A distributed lag non-linear model (DLNM) was applied to explore the exposure–response relations and lagged effects between TCN and CVD hospital admissions with stratified analyses by age and gender. Extreme low TCN effects and burden analysis were conducted.

Results

Based on 25,984 cases in Qingyang (China) during 2011–2015 among suburban farmers, we found that, first, nonlinear relationship was observed between TCN and CVD hospital admissions and adverse impact in negative TCN (temperature dropping between neighboring days) while protective effect in positive TCN (temperature rising between neighboring days) were discovered; third, during lag0–27, the cumulative relative risk (RR) for extreme low TCN (5th percentile, − 3.5 °C) and extreme high TCN (95th percentile, 3 °C) was 29.55 (95% CI 4.709–185.436) and 0.040 (95% CI 0.009–0.169), respectively; fourth, the age < 65 and females were more vulnerable to negative TCN than the age ≥ 65 and males among suburban farmers, respectively; last, moderate low TCN contributed the most fractions and numbers on CVD hospital admissions.

Conclusions

Among Qingyang suburban farmers in Northwest China, negative TCN should be paid more attention.

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Abbreviations

AF :

Attributable fraction

AN :

Attributable number

AIC :

Akaike’s information criterion

CI :

Confidence interval

CVD :

Cardiovascular disease

DF :

Degree of freedom

DLNM :

Distributed lag nonlinear model

GAM :

Generalized additive model

RR :

Relative risk

S.Fig.:

Supplementary figure

S.Tab. :

Supplementary table

TCN :

Temperature changes between neighboring days

References

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Acknowledgements

Thanks to the support of the Belt and Road Special Project of Lanzhou University (No. 2018ldbryb026), the Key Project of China Ministry of Education for Philosophy and Social Science (No. 16JZD023), the Fundamental Research Funds for the Central Universities (No. 020jbkyzy037), and the National Natural Science Foundation of China (No.81960049). The first author Mr. Zha (Qunwu Zha) would like to thank Miss. Zhou (Hui Zhou) for her supports in his everyday life.

Funding

This work was supported by the Belt and Road Special Project of Lanzhou University (No. 2018ldbryb026), the Key Project of China Ministry of Education for Philosophy and Social Science (No. 16JZD023), the Fundamental Research Funds for the Central Universities (No. 020jbkyzy037), and the National Natural Science Foundation of China (No.81960049).

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Authors and Affiliations

Authors

Contributions

Conceptualization, G. Chai and G. Zhang; Methodology, Q. Zha; Validation, G. Zhang, Y. Su; Formal analysis, G. Chai; Resources, G. Chai, G. Zhang, Y. Sha; Data curation, Q. Zha; Writing—original draft preparation, Q. Zha; Writing—review and editing, Q. Zha, G. Chai, G. Zhang, Y. Sha, and T. Wu; Supervision, G Chai, G. Zhang, and Y. Sha; Project administration, G. Chai and Y. Sha; Funding acquisition, G. Chai, Y. Sha, and T. Wu. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Guorong Chai or Zhe-George Zhang.

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Ethics approval and consent to participate

This study needs no ethical approval for that no patient participated in this study, and the personal information about patients were fully protected, because the information collected in this study contains admission date, gender, age, date of discharge, place of residence, admission number, and did not include patient’s name and ID number.

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All authors consent to publish this article in International Journal of Biometeorology.

Competing interests

The authors declare no competing interests.

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Zha, Q., Chai, G., Zhang, ZG. et al. Impact of temperature changes between neighboring days on cardiovascular disease hospital admissions among suburban farmers in Qingyang, Northwest China. Int J Biometeorol 66, 1233–1245 (2022). https://doi.org/10.1007/s00484-022-02271-9

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  • DOI: https://doi.org/10.1007/s00484-022-02271-9

Keywords

  • Cardiovascular disease hospital admission
  • Temperature changes between neighboring days
  • Suburban farmers
  • Climate change
  • Distributed lag non-linear model