{"corpus_id":53162277,"paper_sha":"529c4363ac9fca5ad8e6c7270f45050593c25144","doi":"10.1136/bmj.k4306","arxiv_id":null,"pmid":30381293,"pmcid":"6207921","mag_id":2898656233,"dblp_id":null,"acl_id":null,"title":"Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities","year":2018,"publication_date":"2018-10-31","venue":"British medical journal","journal":{"name":"The BMJ","pages":null,"volume":"363"},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle"],"pubmed_pub_types":["Journal Article"],"s2_fields_of_study":["Medicine","Environmental Science"],"reference_count":44,"citation_count":486,"influential_citation_count":35,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":[{"d":"Cardiovascular Diseases","mj":false,"qs":[{"q":"mortality","mj":false,"ui":"Q000401"}],"ui":"D002318"},{"d":"Cause of Death","mj":false,"ui":"D002423"},{"d":"China","mj":false,"qs":[{"q":"epidemiology","mj":false,"ui":"Q000453"}],"ui":"D002681"},{"d":"Cold Temperature","mj":false,"qs":[{"q":"adverse effects","mj":true,"ui":"Q000009"}],"ui":"D003080"},{"d":"Hot Temperature","mj":false,"qs":[{"q":"adverse effects","mj":true,"ui":"Q000009"}],"ui":"D006358"},{"d":"Humans","mj":false,"ui":"D006801"},{"d":"Linear Models","mj":false,"ui":"D016014"},{"d":"Mortality","mj":true,"ui":"D009026"},{"d":"Population Surveillance","mj":false,"ui":"D011159"},{"d":"Respiratory Tract Diseases","mj":false,"qs":[{"q":"mortality","mj":false,"ui":"Q000401"}],"ui":"D012140"},{"d":"Risk Factors","mj":false,"ui":"D012307"},{"d":"Stroke","mj":false,"qs":[{"q":"mortality","mj":false,"ui":"Q000401"}],"ui":"D020521"}],"chemicals":null,"comments_corrections":null,"source_flags":5,"s2_open_access_pdf_url":"https://www.bmj.com/content/bmj/363/bmj.k4306.full.pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/529c4363ac9fca5ad8e6c7270f45050593c25144","s2_open_access_license":"CCBYNC","s2_open_access_status":"HYBRID","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"Abstract Objectives To examine the association between temperature and cause specific mortality, and to quantify the corresponding disease burden attributable to non-optimum ambient temperatures. Design Time series analysis. Setting 272 main cities in China. Population Non-accidental deaths in 272 cities covered by the Disease Surveillance Point System of China, from January 2013 to December 2015. Main outcomes and measures Daily numbers of deaths from all non-accidental causes and main cardiorespiratory diseases. Potential effect modifiers included demographic, climatic, geographical, and socioeconomic characteristics. The analysis used distributed lag non-linear models to estimate city specific associations, and multivariate meta-regression analysis to obtain the effect estimates at national and regional levels. Results 1 826 186 non-accidental deaths from total causes were recorded in the study period. Temperature and mortality consistently showed inversely J shaped associations. At the national average level, relative to the minimum mortality temperature (22.8°C, 79.1st centile), the mortality risk of extreme cold temperature (at −1.4°C, the 2.5th centile) lasted for more than 14 days, whereas the risk of extreme hot temperature (at 29.0°C, the 97.5th centile) appeared immediately and lasted for two to three days. 14.33% of non-accidental total mortality was attributable to non-optimum temperatures, of which moderate cold (ranging from −1.4 to 22.8°C), moderate heat (22.8 to 29.0°C), extreme cold (−6.4 to −1.4°C), and extreme heat (29.0 to 31.6°C) temperatures corresponded to attributable fractions of 10.49%, 2.08%, 1.14%, and 0.63%, respectively. The attributable fractions were 17.48% for overall cardiovascular disease, 18.76% for coronary heart disease, 16.11% for overall stroke, 14.09% for ischaemic stroke, 18.10% for haemorrhagic stroke, 10.57% for overall respiratory disease, and 12.57% for chronic obstructive pulmonary diseases. The mortality risk and burden were more prominent in the temperate monsoon and subtropical monsoon climatic zones, in specific subgroups (female sex, age ≥75 years, and ≤9 years spent in education), and in cities characterised by higher urbanisations rates and shorter durations of central heating. Conclusions This nationwide study provides a comprehensive picture of the non-linear associations between ambient temperature and mortality from all natural causes and main cardiorespiratory diseases, as well as the corresponding disease burden that is mainly attributable to moderate cold temperatures in China. The findings on vulnerability characteristics can help improve clinical and public health practices to reduce disease burden associated with current and future abnormal weather.","claims":[{"public_id":"cl_c6165a9ce22b19ab4df1c1953ab3a3ba","status":"active","text":"Ambient temperature and mortality show consistently inverse J-shaped associations across the studied Chinese cities.","confidence":0.98,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_c6165a9ce22b19ab4df1c1953ab3a3ba"},{"public_id":"cl_c97667ff5390415dbf091607e324288a","status":"active","text":"Extreme cold temperature is associated with a mortality risk that persists for more than 14 days, whereas extreme hot temperature increases mortality risk immediately and for only two to three days.","confidence":0.97,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous 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