Time-series study on daily mean temperature and daily respiratory hospital admissions in Atushi

Abstract

Abstract: Objective To analyze the effect of daily mean temperature on daily respiratory hospital admissionsin Atushi. Methods The data of inpatient cases of respiratory diseasesin Atushi from 2016 to 2019 and the data of meteorology and atmospheric pollutants during the same period were collect,and the effects and lag effects of daily mean temperature on daily respiratory hospital admissions were analyzed by the distribution lag non-linear model（DLNM）. Results There was a "J" shaped relationship between daily average temperature and daily respiratory hospital admissions,and the minimum temperature of hospitalization risk was 23 ℃. The cumulative RR and the 95%CI of the total population in extremely low temperature and general low temperature in the lag of 0-14 days for respiratory hospital admissions were 2.32（1.55-3.47） and 2.09（1.46-3.00）,respectively. The hospitalization risks of the two reached the maximum on the same day. With the increase of lag days,the hospitalization risks showed a trend of first decreasing,then increasing,and then decreasing,and the lag days were all two days. The subgroup analysis showed that extremely low temperature and general low temperature had greater impact on the risk of hospitalization for respiratory diseases among females and people aged ≤15 years old. The extremely high temperature and general high temperature did not show significant health risks or lagging effects on the overall population and different subgroups. Conclusion The low temperature increases the risk of hospitalization for respiratory diseases,it has obviously acute effect in the early stage and has lag effect,and females and people aged ≤15 years old are sensitive people.

Key words: Respiratory diseases, Hospital admissions, Daily mean temperature, Distribution lag non-linear model

CLC Number:

R181.3⁺4

TAN Lei, XIAO Shu-ya, XU Tao, Xiaokaiti·Yibulayin. Time-series study on daily mean temperature and daily respiratory hospital admissions in Atushi. [J]OCCUPATION AND HEALTH, 2023, 39(8): 1081-1085.

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