Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis
Objectives To explore the association between weather conditions and hospital admissions for pneumonia in Shanghai.Design A time-series analysis was performed for a period of 4 years (January 2008–December 2011). A generalised additive model was used to calculate the relative risks.Setting Shanghai,...
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BMJ Publishing Group
2014-07-01
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author | Yuan Liu David Rogers Yue Zhang Haidong Kan Weibing Wang Jianming Xu Renjie Chen Xiaofang Ye Li Peng |
author_facet | Yuan Liu David Rogers Yue Zhang Haidong Kan Weibing Wang Jianming Xu Renjie Chen Xiaofang Ye Li Peng |
author_sort | Yuan Liu |
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description | Objectives To explore the association between weather conditions and hospital admissions for pneumonia in Shanghai.Design A time-series analysis was performed for a period of 4 years (January 2008–December 2011). A generalised additive model was used to calculate the relative risks.Setting Shanghai, China.Participants All daily hospital admissions for pneumonia were obtained from the Shanghai health insurance system between 1 January 2008 and 31 December 2011 (n=99 403).Results The relationship between the mean temperature and pneumonia hospital admissions followed a V-shaped curve, with an optimum temperature (OT) at 13°C. When the mean temperature was below the OT, a 1°C decrease corresponded to a 4.88% (95% CI 2.71% to 7.09%) and 5.34% (95% CI 2.04% to 8.74%) increase in pneumonia hospital admissions in lag 4 using a single-day lag structure and lag 0–7 using a multiday lag structure. When the mean temperature ≥OT, no adverse effects from the temperature on pneumonia hospital admissions were found. The magnitude of the effects of temperature varied across gender and age groups. Hospitalisations for pneumonia increased by 15.99% (95% CI 0.06% to 34.46%) in the cold period.Conclusions Cold temperature may be one of the important risk factors for pneumonia hospitalisations. Prevention programmes are needed to reduce the impact of cold temperature on pneumonia hospitalisations such as developing a weather warning system within a wide public health context. |
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issn | 2044-6055 |
language | English |
publishDate | 2014-07-01 |
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spelling | doaj-art-0684365fa4694bfc85b5a6d70e60a5f32025-02-11T13:30:09ZengBMJ Publishing GroupBMJ Open2044-60552014-07-014710.1136/bmjopen-2014-004961Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysisYuan Liu0David Rogers1Yue Zhang2Haidong Kan3Weibing Wang4Jianming Xu5Renjie Chen6Xiaofang Ye7Li Peng81Emory University, Atlanta, GA, USACentre for Musculoskeletal Medicine, Royal Orthopaedic Hospital NHS Foundation Trust, Birmingham, UK1Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, ChinaSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, ChinaFudan Tyndall Centre, Shanghai, China1The Fifth Medical Center, General Hospit, BeiJing, ChinaSchool of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, P O Box 249, 130 Dong-An Road, Shanghai 200032, ChinaDepartment of Mental Rehabilitation, The Second People`s Hospital of Lishui, Lishui, Zhejiang, China12Palleon Pharmaceuticals, Waltham, MA, USAObjectives To explore the association between weather conditions and hospital admissions for pneumonia in Shanghai.Design A time-series analysis was performed for a period of 4 years (January 2008–December 2011). A generalised additive model was used to calculate the relative risks.Setting Shanghai, China.Participants All daily hospital admissions for pneumonia were obtained from the Shanghai health insurance system between 1 January 2008 and 31 December 2011 (n=99 403).Results The relationship between the mean temperature and pneumonia hospital admissions followed a V-shaped curve, with an optimum temperature (OT) at 13°C. When the mean temperature was below the OT, a 1°C decrease corresponded to a 4.88% (95% CI 2.71% to 7.09%) and 5.34% (95% CI 2.04% to 8.74%) increase in pneumonia hospital admissions in lag 4 using a single-day lag structure and lag 0–7 using a multiday lag structure. When the mean temperature ≥OT, no adverse effects from the temperature on pneumonia hospital admissions were found. The magnitude of the effects of temperature varied across gender and age groups. Hospitalisations for pneumonia increased by 15.99% (95% CI 0.06% to 34.46%) in the cold period.Conclusions Cold temperature may be one of the important risk factors for pneumonia hospitalisations. Prevention programmes are needed to reduce the impact of cold temperature on pneumonia hospitalisations such as developing a weather warning system within a wide public health context.https://bmjopen.bmj.com/content/4/7/e004961.full |
spellingShingle | Yuan Liu David Rogers Yue Zhang Haidong Kan Weibing Wang Jianming Xu Renjie Chen Xiaofang Ye Li Peng Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis BMJ Open |
title | Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis |
title_full | Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis |
title_fullStr | Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis |
title_full_unstemmed | Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis |
title_short | Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis |
title_sort | temporal relationship between hospital admissions for pneumonia and weather conditions in shanghai china a time series analysis |
url | https://bmjopen.bmj.com/content/4/7/e004961.full |
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