Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response, 3/F, School of Public Health and Primary Care, Prince of Wales Hospital, Shatin, NT, Hong Kong Special Administrative Region (SAR), China.
Bull World Health Organ. 2013 Aug 1;91(8):576-84. doi: 10.2471/BLT.12.113035. Epub 2013 May 31.
To explore the relationship between weather phenomena and pollution levels and daily hospital admissions (as an approximation to morbidity patterns) in Hong Kong Special Administrative Region (SAR), China, in 1998-2009.
Generalized additive models and lag models were constructed with data from official sources on hospital admissions and on mean daily temperature, mean daily wind speed, mean relative humidity, daily total global solar radiation, total daily rainfall and daily pollution levels.
During the hot season, admissions increased by 4.5% for every increase of 1 °C above 29 °C; during the cold season, admissions increased by 1.4% for every decrease of 1 °C within the 8.2-26.9 °C range. In subgroup analyses, admissions for respiratory and infectious diseases increased during extreme heat and cold, but cardiovascular disease admissions increased only during cold temperatures. For every increase of 1 °C above 29 °C, admissions for unintentional injuries increased by 1.9%. During the cold season, for every decrease of 1 °C within the 8.2-26.9 °C range, admissions for cardiovascular diseases and intentional injuries rose by 2.1% and 2.4%, respectively. Admission patterns were not sensitive to sex. Admissions for respiratory diseases rose during hot and cold temperatures among children but only during cold temperatures among the elderly. In people aged 75 years or older, admissions for infectious diseases rose during both temperature extremes.
In Hong Kong SAR, hospitalizations rise during extreme temperatures. Public health interventions should be developed to protect children, the elderly and other vulnerable groups from excessive heat and cold.
探索 1998-2009 年中国香港特别行政区(SAR)天气现象与污染水平和每日医院入院率(作为发病率模式的近似值)之间的关系。
利用来自官方医院入院和平均每日温度、平均每日风速、平均相对湿度、每日总太阳辐射、总日降雨量和每日污染水平数据,构建广义加性模型和滞后模型。
在炎热季节,每升高 1°C 超过 29°C,入院人数增加 4.5%;在寒冷季节,8.2-26.9°C 范围内每降低 1°C,入院人数增加 1.4%。在亚组分析中,呼吸道和传染病的入院人数在极端高温和低温时增加,但心血管疾病的入院人数仅在低温时增加。每升高 1°C 超过 29°C,意外伤害的入院人数增加 1.9%。在寒冷季节,8.2-26.9°C 范围内每降低 1°C,心血管疾病和故意伤害的入院人数分别增加 2.1%和 2.4%。入院模式对性别不敏感。在儿童中,呼吸道疾病的入院人数在高温和低温时均增加,但在老年人中仅在低温时增加。在 75 岁或以上的人群中,传染病的入院人数在两个温度极端时均增加。
在中国香港特别行政区,医院住院人数在极端温度下上升。应制定公共卫生干预措施,以保护儿童、老年人和其他弱势群体免受过度的冷热影响。