1.Impact of daily mean temperature, cold spells, and heat waves on stroke mortality a multivariable Meta-analysis from 12 counties of Hubei province, China
Yunquan ZHANG ; Chuanhua YU ; Junzhe BAO
Chinese Journal of Epidemiology 2017;38(4):508-513
Objective To assess the acute effects of daily mean temperature,cold spells,and heat waves on stroke mortality in 12 counties across Hubei province,China.Methods Data related to daily mortality from stroke and meteorology in 12 counties across Hubei province during 2009-2012,were gathered.Distributed lag nonlinear model (DLNM) was first used,to estimate the county-specific associations between daily mean temperature,cold spells,heat waves and stroke mortality.Multivariate Meta-analysis was then applied to pool the community-specific relationships between temperature and stroke mortality (exposure-response relationship) as well as both cold-and-heatassociated risks on mortality at different lag days (lag-response relationship).Results During 2009-2012,a total population of 6.7 million was included in this study with 42 739 persons died of stroke.An average of 2.7 (from 0.5 to 6.0) stroke deaths occurred daily in each county,with annual average mean temperature as 16.6 ℃ (from 14.7 ℃ to 17.4 ℃)during the study period.An inverse J-shaped association between temperature and stroke mortality was observed at the provincial level.Pooled mortality effect of cold spells showed a 2-3-day delay and lasted about 10 days,while effect of heat waves appeared acute but attenuated within a few days.The mortality risks on cold-spell days ranged from 0.968 to 1.523 in 12 counties at lag 3-14,with pooled effect as 1.180 (95% CI:1.043-1.336).The pooled mortality risk (ranged from 0.675 to 2.066) on heat-wave days at lag 0-2 was 1.114 (95%CI:1.012-1.227).Conclusions An inverse J-shaped association between temperature and stroke mortality was observed in Hubei province,China.Both cold spells and heat waves were associated with increased stroke mortality,while different lag patterns were observed in the mortality effects of heat waves and cold spells.
2.Acute effect of daily mean temperature on ischemic heart disease mortality: a multivariable meta-analysis from 12 counties across Hubei Province, China
Yunquan ZHANG ; Chuanhua YU ; Junzhe BAO
Chinese Journal of Preventive Medicine 2016;50(11):990-995
Objective To evaluate the acute effects of daily mean temperature on ischemic heart disease (IHD) mortality in 12 counties across Hubei Province,China.Methods We obtained the daily IHD mortality data and meteorological data of the 12 counties for 2009-2012.The distributed lag nonlinear model (DLNM) was used to estimate the community-specific association between mean temperature and IHD mortality.A multivariate meta-analysis was then applied to pool the community-specific relationship between temperature and IHD mortality,and the effects of cold and heat on mortality risk.Results In 2009-2012,of the 6 702 012 people included in this study,19 688 died of IHD.A daily average of 1.2 IHD deaths occurred in each community.The annual average mean temperature was 16.6 ℃ during the study period.A nonlinear temperature-IHD mortality relationship was observed for different cumulative lag days at the provincial level.The pooled heat effect was acute but attenuated within 2 days.In contrast,the cold effect was delayed and persisted for more than 2 weeks.Compared with a reference temperature (25th percentile of mean temperature during the study period,P25),the cold effect for P10 of mean temperature was associated with IHD mortality,the RR(95%CI) was 1.084 (1.008-1.167) at lag 0-14,and 1.149 (1.053-1.253) at lag 0-21.For the P1 cold temperature,the mortality RR (95% CI) values were 1.116 (0.975-1.276)and 1.220 (1.04-1.428),respectively.We found no significant association between high temperatures and IHD mortality in the present study at different lag days.Conclusion In Hubei Province,low temperature was associated with increased IHD mortality risk,and cold effects lasted for several days;no significant effect of high temperature was observed.
3.Acute effect of daily mean temperature on ischemic heart disease mortality: a multivariable meta-analysis from 12 counties across Hubei Province, China
Yunquan ZHANG ; Chuanhua YU ; Junzhe BAO
Chinese Journal of Preventive Medicine 2016;50(11):990-995
Objective To evaluate the acute effects of daily mean temperature on ischemic heart disease (IHD) mortality in 12 counties across Hubei Province,China.Methods We obtained the daily IHD mortality data and meteorological data of the 12 counties for 2009-2012.The distributed lag nonlinear model (DLNM) was used to estimate the community-specific association between mean temperature and IHD mortality.A multivariate meta-analysis was then applied to pool the community-specific relationship between temperature and IHD mortality,and the effects of cold and heat on mortality risk.Results In 2009-2012,of the 6 702 012 people included in this study,19 688 died of IHD.A daily average of 1.2 IHD deaths occurred in each community.The annual average mean temperature was 16.6 ℃ during the study period.A nonlinear temperature-IHD mortality relationship was observed for different cumulative lag days at the provincial level.The pooled heat effect was acute but attenuated within 2 days.In contrast,the cold effect was delayed and persisted for more than 2 weeks.Compared with a reference temperature (25th percentile of mean temperature during the study period,P25),the cold effect for P10 of mean temperature was associated with IHD mortality,the RR(95%CI) was 1.084 (1.008-1.167) at lag 0-14,and 1.149 (1.053-1.253) at lag 0-21.For the P1 cold temperature,the mortality RR (95% CI) values were 1.116 (0.975-1.276)and 1.220 (1.04-1.428),respectively.We found no significant association between high temperatures and IHD mortality in the present study at different lag days.Conclusion In Hubei Province,low temperature was associated with increased IHD mortality risk,and cold effects lasted for several days;no significant effect of high temperature was observed.