BMC Public Health (May 2024)

The effects of meteorological factors and air pollutants on the incidence of tuberculosis in people living with HIV/AIDS in subtropical Guangxi, China

  • Fengyi Wang,
  • Zongxiang Yuan,
  • Shanfang Qin,
  • Fengxiang Qin,
  • Junhan Zhang,
  • Chuye Mo,
  • Yiwen Kang,
  • Shihui Huang,
  • Fang Qin,
  • Junjun Jiang,
  • Aimei Liu,
  • Hao Liang,
  • Li Ye

DOI
https://doi.org/10.1186/s12889-024-18475-0
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 16

Abstract

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Abstract Background Previous studies have shown the association between tuberculosis (TB) and meteorological factors/air pollutants. However, little information is available for people living with HIV/AIDS (PLWHA), who are highly susceptible to TB. Method Data regarding TB cases in PLWHA from 2014 to2020 were collected from the HIV antiviral therapy cohort in Guangxi, China. Meteorological and air pollutants data for the same period were obtained from the China Meteorological Science Data Sharing Service Network and Department of Ecology and Environment of Guangxi. A distribution lag non-linear model (DLNM) was used to evaluate the effects of meteorological factors and air pollutant exposure on the risk of TB in PLWHA. Results A total of 2087 new or re-active TB cases were collected, which had a significant seasonal and periodic distribution. Compared with the median values, the maximum cumulative relative risk (RR) for TB in PLWHA was 0.663 (95% confidence interval [CI]: 0.507–0.866, lag 4 weeks) for a 5-unit increase in temperature, and 1.478 (95% CI: 1.116–1.957, lag 4 weeks) for a 2-unit increase in precipitation. However, neither wind speed nor PM10 had a significant cumulative lag effect. Extreme analysis demonstrated that the hot effect (RR = 0.638, 95%CI: 0.425–0.958, lag 4 weeks), the rainy effect (RR = 0.285, 95%CI: 0.135–0.599, lag 4 weeks), and the rainless effect (RR = 0.552, 95%CI: 0.322–0.947, lag 4 weeks) reduced the risk of TB. Furthermore, in the CD4(+) T cells < 200 cells/µL subgroup, temperature, precipitation, and PM10 had a significant hysteretic effect on TB incidence, while temperature and precipitation had a significant cumulative lag effect. However, these effects were not observed in the CD4(+) T cells ≥ 200 cells/µL subgroup. Conclusion For PLWHA in subtropical Guangxi, temperature and precipitation had a significant cumulative effect on TB incidence among PLWHA, while air pollutants had little effect. Moreover, the influence of meteorological factors on the incidence of TB also depends on the immune status of PLWHA.

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