The impact of meteorological conditions on cardiovascular and cerebrovascular diseases in different microclimatic zones of low-latitude mountainous areas
2024

Meteorological Conditions and Cardiovascular Diseases in Guizhou

Sample size: 2286 publication 10 minutes Evidence: moderate

Author Information

Author(s): Du Zhengjing, Xiong Fang, Tang Yanjing, Xia Xiaoling, Hu Yuandong, Wang Fangfang

Primary Institution: Guizhou Mountainous Meteorological Science Research Institute

Hypothesis

What are the primary meteorological factors influencing the incidence of cardiovascular diseases in low-latitude mountainous regions?

Conclusion

Meteorological conditions significantly impact cardiovascular disease incidence, with specific temperature and pressure thresholds varying across different microclimate zones.

Supporting Evidence

  • Critical meteorological factors associated with CVD incidence include diurnal temperature range, temperature change between neighboring days, diurnal pressure range, pressure change between neighboring days, and minimum temperature.
  • The risk of CVD incidence markedly increased with narrow diurnal temperature range and colder conditions.
  • Thresholds for minimum temperature and temperature change between neighboring days decreased with the annual average temperature.

Takeaway

Weather can affect heart health, and different places have different weather rules that can make heart problems more likely.

Methodology

The study used daily CVD incidence data and meteorological data from four microclimate stations, applying random forest and decision tree analysis, followed by a distributed lag non-linear model.

Potential Biases

Potential bias due to reliance on meteorological data from external stations and not accounting for indoor environmental factors.

Limitations

The study's data was collected during the COVID-19 pandemic, which may have affected case reporting and statistics.

Participant Demographics

Data included variables such as gender, age, and place of residence from CVD cases in Guizhou.

Statistical Information

P-Value

p<0.05

Confidence Interval

95% CI

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1447910

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