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Effects of Ambient Air Pollutants on Hospital Admissions among Children Due to Asthma and Wheezing-Associated Lower Respiratory Infections in Mysore, India

A Time Series Study

Bibliographic Data

ID15715280
AuthorsSowmya Malamardi (0000-0002-8173-9127, La Trobe University), Katrina A Lambert (0000-0002-9079-999X, La Trobe University), Jayaraj Biligere Siddaiah (0000-0001-6055-4580, JSS Academy of Higher Education and Research), Bircan Erbas (0000-0001-9597-418X, La Trobe University), P A Mahesh (0000-0003-1632-5945, JSS Academy of Higher Education and Research, corresponding author)
Year2023
Volume10
Issue8
Pages1322-1322
Publication date2023-07-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children10081322
OpenAlexW4385415296
LanguageEN
References cited52

Air pollutants are known to trigger asthma and wheezing-associated lower respiratory infections in children, but evidence regarding their effect on hospital admissions in India is limited. We conducted a time-series study over a period of five years to assess the role of ambient air pollutants in daily asthma-related hospital admissions in children in Mysore, India. Daily asthma and wheeze (associated with lower respiratory infections) admissions were modelled using a generalised additive model (GAM) to examine the non-linear effects and generalised linear models (GLM) for linear effects, if any. Models were adjusted by day of the week and lag days, with smooth terms for time, maximum temperature, and relative humidity, and they were stratified by sex and age group. Of the 362 children admitted, more than 50% were boys, and the mean age was 5.34 years (±4.66). The GAMs showed non-linear associations between NO2, PM2.5, and NH3. For example, a 10 μgm−3 (or 10%) increase in NO2 increased admissions by 2.42. These non-linear effects were more pronounced in boys. A linear effect was detected for PM10 with a relative risk (95% CI) of 1.028, 1.013, and 1.043 with admission. Further research is needed to explore whether these findings can be replicated in different cities in India. Air pollution needs to be controlled, and policies that focus on lower cut-off levels for vulnerable populations are necessary

Air pollutants · Air pollution · Asthma · Confidence interval · Distributed lag · Environmental health · Names of the days of the week · Relative risk · Respiratory system · Statistics · Wheeze · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Mathematics · Medicine · Noise Effects and Management · Internal Medicine · Pediatrics

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