Association Between Particulate Matter (PM10) Exposure and Cardiorespiratory Hospital Admissions: A Time Series Analysis

Nur Shahirah Abd Rahim, A. Yahya, W. Mahiyuddin
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Abstract

Corresponding Author: Nur Nabila Abd Rahim Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia Email: nurnabila@gmail.com Abstract: This study aimed to evaluate the association between particulate matter (PM10) exposure and cardiorespiratory hospital admissions and develop a time series model for cardiorespiratory hospital admissions in Johor, Malaysia. Retrospective time series analysis was utilised to study cardiorespiratory hospital admissions for the study period 2015-2016. Over-dispersed Poisson generalized linear models with parametric smoothing functions were used to examine the association between cardiorespiratory admissions and PM10 exposure. Male patients have a higher mean age at admission compared to female patients for cardiovascular admissions. Correlations were weak between PM10 concentration and meteorological data. Time series analysis yielded insignificant results in establishing the association between PM10 and both cardiorespiratory hospitalisations after adjusting for long-term trend, seasonal patterns and meteorological covariates. The findings from this study contribute to the heterogeneity of existing literature on this subject. More studies need to be conducted with the use of multipollutant models and adjustments for more confounding variables. The methodology used here is proposed as a way to explore reproducibility of air pollution effects on risk of cardiorespiratory hospitalisations of urban and suburban populations in Johor, Malaysia.
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颗粒物(PM10)暴露与心肺住院之间的关系:时间序列分析
通讯作者:Nur Nabila Abd Rahim马来西亚吉隆坡马来亚大学医学院社会与预防医学系Email: nurnabila@gmail.com摘要:本研究旨在评估颗粒物(PM10)暴露与心肺住院之间的关系,并建立马来西亚柔佛心肺住院的时间序列模型。回顾性时间序列分析用于研究2015-2016年期间的心肺住院情况。使用参数平滑函数的过分散泊松广义线性模型来检验心肺入院与PM10暴露之间的关系。男性患者在入院时的平均年龄高于女性患者的心血管入院。PM10浓度与气象数据相关性较弱。在调整了长期趋势、季节模式和气象协变量后,时间序列分析在建立PM10与心肺住院之间的关联方面得出了不显著的结果。本研究的发现有助于对这一主题的现有文献的异质性。需要使用多污染物模型进行更多的研究,并对更多的混杂变量进行调整。本文提出的方法是为了探索空气污染对马来西亚柔佛州城市和郊区人口心肺疾病住院风险影响的可重复性。
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