Air pollution weaken your muscle? Evidence from a cross-sectional study on sarcopenia in central China

Ecotoxicol Environ Saf. 2023 Jun 15:258:114962. doi: 10.1016/j.ecoenv.2023.114962. Epub 2023 Apr 28.

Abstract

Background: As the world experiences a demographic shift towards aging populations, there will be a significant surge in the number of sarcopenia patients, along with an unprecedented expansion in the associated economic burden. The multitudinous risk factors for sarcopenia have been reported, but evidence for air pollution remains rare.

Methods: This cross-sectional study employed multi-stage random sampling to select 1592 participants over 40 years of age from Hubei Province. Daily mean concentrations of air pollutants were collected ChinaHighAirPollutants dataset. Unconditional logistic regression models were utilized to investigate the associations between air pollution and sarcopenia.

Results: For each 1 μg/m3 increase in PM2.5, PM10, SO2 and O3, there were corresponding elevations of 11.1% [95% confidence interval (CI): 4.9, 17.7], 4.3% (95% CI: 1.4, 7.2), 22.6% (95% CI: 7.2, 40.1) and 9.3% (95% CI: 0.7, 18.7) in the risk of sarcopenia, respectively. The associations of PM2.5/PM10/O3-sarcopenia were more pronounced in females, with corresponding odds ratios (ORs) and 95% CIs of 1.179 (1.062, 1.310), 1.079 (1.027, 1.135) and 1.180 (1.026, 1.358), separately. Additionally, individuals residing in rural areas were more susceptible to the effects of PM2.5 and PM10. Current/ever smokers or drinkers were also at higher risk of developing sarcopenia caused by PM2.5, PM10 and O3 exposure. Mixture analyses show a surge of 48.4% (95% CI: 3.6%, 112.5%) in the likelihood of suffering from sarcopenia, and the joint impacts of the air pollution were mainly driven by PM2.5.

Conclusions: Our results produced evidence for a relationship between air pollution exposure and the increased prevalence of sarcopenia in China. Public health and relevant departments should make efforts to prevent sarcopenia, particularly in China experiencing rapid demographic aging.

Keywords: Air pollution; Cross-sectional; Mixture analysis; Muscle; Sarcopenia.

MeSH terms

  • Adult
  • Air Pollutants* / adverse effects
  • Air Pollutants* / analysis
  • Air Pollution* / adverse effects
  • Air Pollution* / analysis
  • China / epidemiology
  • Cross-Sectional Studies
  • Environmental Exposure / adverse effects
  • Environmental Exposure / analysis
  • Female
  • Humans
  • Middle Aged
  • Muscles / chemistry
  • Nitrogen Dioxide / analysis
  • Particulate Matter / adverse effects
  • Particulate Matter / analysis
  • Sarcopenia* / chemically induced
  • Sarcopenia* / etiology

Substances

  • Air Pollutants
  • Particulate Matter
  • Nitrogen Dioxide