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Objective To analyze the relationship between diurnal temperature range (DTR) and the hospitalization of stroke in Lanzhou,so as to provide a scientific basis for probing into the mechanism of temperature changes in inducing stroke and formulating comprehensive prevention and control measures for stroke by relevant departments.Methods The information of the patients hospitalized due to stroke in Lanzhou during January 2014 to December 2019 and the air pollutants (PM10,SO2,and NO2) and meteorological data in the same period were collected for statistical analysis.Spearman rank correlation analysis was performed to analyze the correlations between air pollutants and meteorological factors.The distributed lag nonlinear model was adopted to fit the relationship between DTR and the number of stroke inpatients,and three-dimensional diagrams and the correlation diagrams of DTR against stroke risk were established.The stratified analysis was performed according to gender and age (< 65 years and ≥65 years).Results From 2014 to 2019,a total of 92 812 stroke patients were hospitalized in Lanzhou,with a male-to-female ratio of 1.35:1.There was a nonlinear relationship between DTR and the number of stroke inpatients in Lanzhou,which presented a lag effect.The low DTR at 4.5 ℃ had the largest RR value of 1.25 (95%CI=1.16-1.35) for stroke inpatients at a cumulative lag of 18 d.The effect of high DTR (18.5 ℃) on the hospitalization of stroke patients peaked at a cumulative lag of 21 d,with an RR value of 1.09 (95%CI=1.01-1.18).The stratified analysis results suggested that low levels of DTR had greater effects on the hospitalization of male stroke patients and stroke patients <65 years.Conclusions Short-term exposure to different levels of DTR had an impact on the number of stroke inpatients,and low levels of DTR had a slightly greater impact on stroke inpatients than high levels of DTR.Importance should be attached to the protection of males and people aged <65 years at low levels of DTR.
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Humans , Male , Female , Temperature , Stroke , Cold Temperature , Hot Temperature , Air Pollutants , China/epidemiologyABSTRACT
Objective To investigate the effect of diurnal temperature difference on hospitalization volume of patients with cardiovascular and cerebrovascular diseases in Urumqi City. Methods The daily hospitalization data for cardiovascular and cerebrovascular diseases in Urumqi City from 2019-2021, and meteorological and pollutant data for the same period were collected. The relationship between diurnal temperature range and hospitalizations for cardiovascular and cerebrovascular diseases was analyzed using a distribution lag non-linear model (DLNM), controlling for the long-term trends, the day-of-week effects and other factors. Results The greater the diurnal temperature range, the longer the lag time, and the higher the risk of hospitalization for cardiovascular and cerebrovascular diseases. The lag effect increased significantly when the maximum diurnal temperature range reached 21.0°C. The risk effect appeared on the day of exposure and lasted until day 20, with a maximum RR of 1.266 (95% CI: 1.129-1.421) at a lag of 13 days. At very high diurnal temperature range, the risk of hospitalization for cardiovascular and cerebrovascular diseases was higher in the cold season than that in the warm season. Results after stratified analysis by sex and age showed that men and people aged ≥65 years were more susceptible to diurnal temperature range. Conclusion Extremely high diurnal temperature range is a potential trigger for hospitalization for cardiovascular and cerebrovascular diseases in Urumqi. Men and people aged ≥65 years are more vulnerable to the impact of diurnal temperature range. In the cold season, more attention should be paid to protecting vulnerable people from the impact of the extremely high diurnal temperature difference.
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Background In the context of global warming, the impact of meteorological factors on human health has gradually become a research hotspot at home and abroad. Objective To describe the distribution of children's bronchopneumonia in Huzhou City, and explore the influence of diurnal temperature range (DTR) on children with bronchopneumonia, so as to provide guidance for identifying vulnerable populations and developing targeted measures. Methods A distributed lag nonlinear model (DLNM) was used to explore the potential nonlinear lag effect of DTR on admission of children with bronchopneumonia in Huzhou City from 2014 to 2019. Then a generalized additive model (GAM) was used to calculate the hospital admission risk of exposure to DTR in total population and sex-, age-, season-stratified populations. Results A total of 17658 hospitalized children with bronchopneumonia were included in the study. When DTR exceeded 7.5 ℃, the relative risk rose abruptly. When DTR reached 17 ℃, the risk of admission to hospital of children with bronchopneumonia was the greatest. In terms of the single-day lag effect, the admission risk of DTR for bronchopneumonia in children began on the same day and persisted until lag day 2; it peaked on the same day, and RR was 1.353 (95%CI: 1.220-1.502). The cumulative lag effect occurred from lag0 to lag0-6, and the highest RR value was at lag0-3, which was 1.938 (95%CI:1.483-2.533). The results of stratified analysis showed that the maximum effect values for boys and girls appeared at lag0-3 (RRboys=2.301, 95%CI: 1.671-3.169) and lag0-2(RRgirls=1.566, 95%CI: 1.152-2.129) respectively, and the effect value and duration of DTR in boys were higher and longer than those in girls. Among different age groups, both children of 0-3 years old and 4-14 years old had the maximum effect value at lag 0-3, the RR values were 1.734 (95%CI: 1.454-2.572) and 1.998 (95%CI: 1.226-2.254) respectively, and the effect value and duration of DTR on the children of 4-14 years old were higher and longer than those of the children of 0-3 years old. As to seasons, no significant increase was found in cumulative effect in summer and autumn (P>0.05); in winter and spring, the maximum effect value appeared at lag0-10, and the RR value was 4.164 (95%CI:1.191-14.561). Conclusion The impact of DTR on bronchopneumonia in children is acute. Boys and children aged 4-14 years old are more sensitive to DTR changes. Therefore, we should be alert to severe DTR changes and take protective measures in advance
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BACKGROUND@#An acute upper respiratory tract infection (URI) is the most common disease worldwide, irrespective of age or sex. This study aimed to evaluate the short-term effect of diurnal temperature range (DTR) on emergency room (ER) visits for URI in Seoul, Korea, between 2009 and 2013.@*METHODS@#Daily ER visits for URI were selected from the National Emergency Department Information System, which is a nationwide daily reporting system for ER visits in Korea. URI cases were defined according to International Classification of Diseases, 10@*RESULTS@#There were 529,527 ER visits for URI during the study period, with a daily mean of 290 visits (range, 74-1942 visits). The mean daily DTR was 8.05 °C (range, 1.1-17.6 °C). The cumulative day (lag 02) effect of DTR above 6.57 °C per 1 °C increment was associated with a 1.42% (95% confidence interval [CI] 0.04-2.82) increase in total URI. Children (≤ 5 years of age) were affected by DTR above 6.57 °C per 1 °C, with 1.45% (95% CI 0.32-2.60) at lag 02, adults (19-64 years) with 2.77% (95% CI 0.39-5.20) at lag 07. When the DTR (lag02) was 6.57 °C to 11.03 °C, the relative risk was significant at 6.01% (95% CI 2.45-9.69) for every 1 °C increase in youth subjects aged for 6 to 18 years.@*CONCLUSIONS@#DTR was associated with a higher risk for ER visits for URI. In addition, the results suggested that the lag effects and relative risks of DTR on URI were quite different according to age.
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Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Young Adult , Acute Disease/epidemiology , Cold Temperature/adverse effects , Emergency Service, Hospital/statistics & numerical data , Hot Temperature/adverse effects , Republic of Korea/epidemiology , Respiratory Tract Infections/etiologyABSTRACT
Objective To understand the influence of diurnal temperature range (DTR) on influenza incidence in the elderly in Beijing and to conduct a subgroup analysis.Methods The incidence data of daily influenza cases in the elderly and daily meteorological data from 2014 to 2016 in Beijing were collected for this study.A generalized additive model (GAM) was used to explore whether the relationship between daily influenza cases and DTR is a linear one.A distributed lag non-linear model (DLNM) was established to quantify the lagged effect of DTR on daily influenza incidence in the elderly.The model was also used to estimate the effects of DTR on daily influenza incidence among various subgroups.Results A total of 4 097 influenza cases in the elderly were notified during study period.The mean DTR was 10.153 ℃.A linear relationship between daily influenza incidence and DTR was detected by using GAM.DTR was significantly associated with daily influenza incidence between lag0 and lag5 with a maximal effect at lag0.An 1 ℃ increase of DTR was associated with a 2.0％ increase in daily influenza incidence in the elderly (95％CI:0.9％-3.0％).The RR values of males,females,people aged 60-69 years,people aged ≥70 years were 1.018 (95％CI:1.005-1.032),1.021(95％CI:1.007-1.035),1.012 (95％CI:1.002-1.022),1.025 (95％CI:1.012-1.039),respectively.The influencing time of DTR on females (lag6) was longer than males (lag2).Conclusions DTR was associated with increased risk of influenza in the elderly in Beijing.It is necessary to take targeted measures in the elderly to control the incidence of influenza when DTR becomes greater.
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Objective To understand the influence of diurnal temperature range (DTR) on influenza incidence in the elderly in Beijing and to conduct a subgroup analysis.Methods The incidence data of daily influenza cases in the elderly and daily meteorological data from 2014 to 2016 in Beijing were collected for this study.A generalized additive model (GAM) was used to explore whether the relationship between daily influenza cases and DTR is a linear one.A distributed lag non-linear model (DLNM) was established to quantify the lagged effect of DTR on daily influenza incidence in the elderly.The model was also used to estimate the effects of DTR on daily influenza incidence among various subgroups.Results A total of 4 097 influenza cases in the elderly were notified during study period.The mean DTR was 10.153 ℃.A linear relationship between daily influenza incidence and DTR was detected by using GAM.DTR was significantly associated with daily influenza incidence between lag0 and lag5 with a maximal effect at lag0.An 1 ℃ increase of DTR was associated with a 2.0％ increase in daily influenza incidence in the elderly (95％CI:0.9％-3.0％).The RR values of males,females,people aged 60-69 years,people aged ≥70 years were 1.018 (95％CI:1.005-1.032),1.021(95％CI:1.007-1.035),1.012 (95％CI:1.002-1.022),1.025 (95％CI:1.012-1.039),respectively.The influencing time of DTR on females (lag6) was longer than males (lag2).Conclusions DTR was associated with increased risk of influenza in the elderly in Beijing.It is necessary to take targeted measures in the elderly to control the incidence of influenza when DTR becomes greater.
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Objective To estimate the effect of daily diurnal temperature range (DTR) on mortality in different areas in China.Methods A time series study using the data collected from 66 areas in China was conducted,and Meta-analysis was used to analyze the estimates of associations between DTR and daily mortality.Modifying effects of extremely low and high DTR-mortality relationship by season and socioeconomic status (SES) were also evaluated respectively.Cumulative excess risk (CER) was used as an index to evaluate the effects.Results The information about 1 260 913 registered deaths were collected between 1 January 2006 and 31 December 2011,we found the relationship between extreme DTR and mortality was non-linear in all regions and the exposure-response curve was J-shaped.In central and south areas of China,the result indicated the obvious acute effect of extremely high DTR,and the mortality effect in central area (CER=5.1％,95％CI:2.4％-7.9％) was significant higher than that in south area (CER=4.5％,95％CI:1.7％-7.3％).Regarding to the modification of seasons,the cumulative mortality effect of DTR in cold season (CER=5.8％,95％CI:2.5％-9.2％) was higher than that in hot season (CER=3.1％,95％CI:1.1％-5.1％).Generally,deaths among the elderly (≥75 years) were associated more strongly with extremely high DTR.Conclusions The mortality effects of extremely DTR in different areas and seasons showed different characteristics,that in central area and in cold season it was significantly stronger.After modified by season and SES,DTRs were the greatest threat to vulnerable population,especially to the elderly (≥75 years).Therefore,more attention should be paid to vulnerable groups and protection measures should be taken according to the local and seasonal conditions.
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Objective To estimate the effect of daily diurnal temperature range (DTR) on mortality in different areas in China.Methods A time series study using the data collected from 66 areas in China was conducted,and Meta-analysis was used to analyze the estimates of associations between DTR and daily mortality.Modifying effects of extremely low and high DTR-mortality relationship by season and socioeconomic status (SES) were also evaluated respectively.Cumulative excess risk (CER) was used as an index to evaluate the effects.Results The information about 1 260 913 registered deaths were collected between 1 January 2006 and 31 December 2011,we found the relationship between extreme DTR and mortality was non-linear in all regions and the exposure-response curve was J-shaped.In central and south areas of China,the result indicated the obvious acute effect of extremely high DTR,and the mortality effect in central area (CER=5.1％,95％CI:2.4％-7.9％) was significant higher than that in south area (CER=4.5％,95％CI:1.7％-7.3％).Regarding to the modification of seasons,the cumulative mortality effect of DTR in cold season (CER=5.8％,95％CI:2.5％-9.2％) was higher than that in hot season (CER=3.1％,95％CI:1.1％-5.1％).Generally,deaths among the elderly (≥75 years) were associated more strongly with extremely high DTR.Conclusions The mortality effects of extremely DTR in different areas and seasons showed different characteristics,that in central area and in cold season it was significantly stronger.After modified by season and SES,DTRs were the greatest threat to vulnerable population,especially to the elderly (≥75 years).Therefore,more attention should be paid to vulnerable groups and protection measures should be taken according to the local and seasonal conditions.
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<p><b>OBJECTIVE</b>This study aimed to assess the association between emergency-room visits for respiratory tract infection (RTI) with diurnal temperature range (DTR), a weather parameter closely associated with urbanization and global climate change.</p><p><b>METHODS</b>We conducted a semiparametric time-series analysis to estimate the percentage increase in emergency-room visits for RTI associated with changes in DTR after adjustment for daily weather conditions (temperature and relative humidity) and outdoor air pollution.</p><p><b>RESULTS</b>DTR was significantly associated with daily emergency-room visits for RTI. An increase of 1 °C in the current-day (L0) and in the 2-day moving average (L01) DTR corresponded to a 0.94% [95% confidence interval (CI), 0.34%-1.55%] and 2.08% (95% CI, 1.24%-2.93%) increase in emergency-room visits for RTI, respectively.</p><p><b>CONCLUSION</b>DTR was associated with increased risk of RTI. More studies are needed to understand the impact of DTR on respiratory health.</p>