Autor: |
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 |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
BMC Public Health, Vol 24, Iss 1, Pp 1-16 (2024) |
Druh dokumentu: |
article |
ISSN: |
1471-2458 |
DOI: |
10.1186/s12889-024-18475-0 |
Popis: |
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 |
Databáze: |
Directory of Open Access Journals |
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