Yi Tong Guo , Ka Hung Chan , Hong Qiu , Eliza Lai-yi Wong , Kin Fai Ho
{"title":"亚热带大都市炎热夜晚与夜间过量高温相关的住院风险:2000-2019 年香港时间序列研究","authors":"Yi Tong Guo , Ka Hung Chan , Hong Qiu , Eliza Lai-yi Wong , Kin Fai Ho","doi":"10.1016/j.lanwpc.2024.101168","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied.</p></div><div><h3>Methods</h3><p>Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May–October) of 2000–19 in Hong Kong. We derived three hot-night metrics: HNday<sub>28 °C</sub>, daily minimum temperature ≥28 °C, the governmental definition of hot nights; HNe, hot night excess calculated by summing heat excess of hourly temperatures above 28 °C at night; and HNday<sub>90th</sub>, hot nights classified using the 90th percentile HNe (17.7 °C⋅h) as a cutoff. We fitted time-series regression with distributed lag nonlinear models to examine the associations of hot-night metrics with various hospitalizations.</p></div><div><h3>Findings</h3><p>During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday<sub>28 °C</sub> and HNday<sub>90th</sub>, respectively. Extreme HNe (99th percentile vs 0 °C⋅h) was significantly associated with increased NCNE hospitalizations over lag 0–4 days by 3.1% [95% confidence interval: 1.5%, 4.8%] overall, with enhanced effects in elderly (5.3% [3.2%, 7.4%]), low-SES individuals (5.3% [2.8%, 8.0%]), and circulatory admissions (3.4% [0.2%, 6.8%]). HNday<sub>90th</sub>, reflecting extreme HNe, better identified hazardous hot nights than the official HNday<sub>28 °C</sub>.</p></div><div><h3>Interpretation</h3><p>Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. Nighttime heat intensity should be incorporated in defining hot nights with public health relevance.</p></div><div><h3>Funding</h3><p><span>British Heart Foundation</span>.</p></div>","PeriodicalId":22792,"journal":{"name":"The Lancet Regional Health: Western Pacific","volume":"51 ","pages":"Article 101168"},"PeriodicalIF":7.6000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666606524001627/pdfft?md5=f91b9d585c0b143a643a6676adf68b50&pid=1-s2.0-S2666606524001627-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The risk of hospitalization associated with hot nights and excess nighttime heat in a subtropical metropolis: a time-series study in Hong Kong, 2000–2019\",\"authors\":\"Yi Tong Guo , Ka Hung Chan , Hong Qiu , Eliza Lai-yi Wong , Kin Fai Ho\",\"doi\":\"10.1016/j.lanwpc.2024.101168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied.</p></div><div><h3>Methods</h3><p>Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May–October) of 2000–19 in Hong Kong. We derived three hot-night metrics: HNday<sub>28 °C</sub>, daily minimum temperature ≥28 °C, the governmental definition of hot nights; HNe, hot night excess calculated by summing heat excess of hourly temperatures above 28 °C at night; and HNday<sub>90th</sub>, hot nights classified using the 90th percentile HNe (17.7 °C⋅h) as a cutoff. We fitted time-series regression with distributed lag nonlinear models to examine the associations of hot-night metrics with various hospitalizations.</p></div><div><h3>Findings</h3><p>During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday<sub>28 °C</sub> and HNday<sub>90th</sub>, respectively. Extreme HNe (99th percentile vs 0 °C⋅h) was significantly associated with increased NCNE hospitalizations over lag 0–4 days by 3.1% [95% confidence interval: 1.5%, 4.8%] overall, with enhanced effects in elderly (5.3% [3.2%, 7.4%]), low-SES individuals (5.3% [2.8%, 8.0%]), and circulatory admissions (3.4% [0.2%, 6.8%]). HNday<sub>90th</sub>, reflecting extreme HNe, better identified hazardous hot nights than the official HNday<sub>28 °C</sub>.</p></div><div><h3>Interpretation</h3><p>Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. 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The risk of hospitalization associated with hot nights and excess nighttime heat in a subtropical metropolis: a time-series study in Hong Kong, 2000–2019
Background
Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied.
Methods
Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May–October) of 2000–19 in Hong Kong. We derived three hot-night metrics: HNday28 °C, daily minimum temperature ≥28 °C, the governmental definition of hot nights; HNe, hot night excess calculated by summing heat excess of hourly temperatures above 28 °C at night; and HNday90th, hot nights classified using the 90th percentile HNe (17.7 °C⋅h) as a cutoff. We fitted time-series regression with distributed lag nonlinear models to examine the associations of hot-night metrics with various hospitalizations.
Findings
During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday28 °C and HNday90th, respectively. Extreme HNe (99th percentile vs 0 °C⋅h) was significantly associated with increased NCNE hospitalizations over lag 0–4 days by 3.1% [95% confidence interval: 1.5%, 4.8%] overall, with enhanced effects in elderly (5.3% [3.2%, 7.4%]), low-SES individuals (5.3% [2.8%, 8.0%]), and circulatory admissions (3.4% [0.2%, 6.8%]). HNday90th, reflecting extreme HNe, better identified hazardous hot nights than the official HNday28 °C.
Interpretation
Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. Nighttime heat intensity should be incorporated in defining hot nights with public health relevance.
期刊介绍:
The Lancet Regional Health – Western Pacific, a gold open access journal, is an integral part of The Lancet's global initiative advocating for healthcare quality and access worldwide. It aims to advance clinical practice and health policy in the Western Pacific region, contributing to enhanced health outcomes. The journal publishes high-quality original research shedding light on clinical practice and health policy in the region. It also includes reviews, commentaries, and opinion pieces covering diverse regional health topics, such as infectious diseases, non-communicable diseases, child and adolescent health, maternal and reproductive health, aging health, mental health, the health workforce and systems, and health policy.