1
|
Darrow LA, Huang M, Warren JL, Strickland MJ, Holmes HA, Newman AJ, Chang HH. Preterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas. JAMA Netw Open 2024; 7:e2412055. [PMID: 38787560 PMCID: PMC11127119 DOI: 10.1001/jamanetworkopen.2024.12055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 03/16/2024] [Indexed: 05/25/2024] Open
Abstract
Importance Heat waves are increasing in frequency, intensity, and duration and may be acutely associated with pregnancy outcomes. Objective To examine changes in daily rates of preterm and early-term birth after heat waves in a 25-year nationwide study. Design, Setting, and Participants This cohort study of singleton births used birth records from 1993 to 2017 from the 50 most populous US metropolitan statistical areas (MSAs). The study included 53 million births, covering 52.8% of US births over the period. Data were analyzed between October 2022 and March 2023 at the National Center for Health Statistics. Exposures Daily temperature data from Daymet at 1-km2 resolution were averaged over each MSA using population weighting. Heat waves were defined in the 4 days (lag, 0-3 days) or 7 days (lag, 0-6 days) preceding birth. Main Outcomes and Measures Daily counts of preterm birth (28 to <37 weeks), early-term birth (37 to <39 weeks), and ongoing pregnancies in each gestational week on each day were enumerated in each MSA. Rate ratios for heat wave metrics were obtained from time-series models restricted to the warm season (May to September) adjusting for MSA, year, day of season, and day of week, and offset by pregnancies at risk. Results There were 53 154 816 eligible births in the 50 MSAs from 1993 to 2017; 2 153 609 preterm births and 5 795 313 early-term births occurring in the warm season were analyzed. A total of 30.0% of mothers were younger than 25 years, 53.8% were 25 to 34 years, and 16.3% were 35 years or older. Heat waves were positively associated with daily rates of preterm and early-term births, showing a dose-response association with heat wave duration and temperatures and stronger associations in the more acute 4-day window. After 4 consecutive days of mean temperatures exceeding the local 97.5th percentile, the rate ratio for preterm birth was 1.02 (95% CI, 1.00-1.03), and the rate ratio for early-term birth was 1.01 (95% CI, 1.01-1.02). For the same exposure, among those who were 29 years of age or younger, had a high school education or less, and belonged to a racial or ethnic minority group, the rate ratios were 1.04 (95% CI, 1.02-1.06) for preterm birth and 1.03 (95% CI, 1.02-1.05) for early-term birth. Results were robust to alternative heat wave definitions, excluding medically induced deliveries, and alternative statistical model specifications. Conclusions and Relevance In this cohort study, preterm and early-term birth rates increased after heat waves, particularly among socioeconomically disadvantaged subgroups. Extreme heat events have implications for perinatal health.
Collapse
Affiliation(s)
- Lyndsey A. Darrow
- Department of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Nevada, Reno
| | - Mengjiao Huang
- Department of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Nevada, Reno
- Geriatric Research and Education Clinical Center, Veterans Affairs Health Care Systems, Palo Alto, California
| | - Joshua L. Warren
- Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut
| | - Matthew J. Strickland
- Department of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Nevada, Reno
| | - Heather A. Holmes
- Department of Chemical Engineering, John and Marcia Price College of Engineering, University of Utah, Salt Lake City
| | - Andrew J. Newman
- Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado
| | - Howard H. Chang
- Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| |
Collapse
|
2
|
Li Z, Wan J, Peng S, Wang R, Dai Z, Liu C, Feng Y, Xiang H. Associations between cold spells of different time types and coronary heart disease severity. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123100. [PMID: 38070638 DOI: 10.1016/j.envpol.2023.123100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023]
Abstract
Limited evidence showed the association between cold spells and the severity of coronary heart disease (CHD). This study was to investigate the association between cold spells with their different time types and CHD severity. We collected data on CHD patients admitted to the Zhongnan Hospital, Wuhan, China from 2016 to 2021. CHD severity was quantified using the SYNTAX score and transformed into a binomial variable. Daily mean, maximum and minimum temperature were collected during the study period. We first used daily mean temperature to find the optimum definition among multiple thresholds and durations. The daily maximum and minimum temperatures were used to define different types of cold spells (daytime, nighttime and compound) based on the optimum definition. Annual cold spell days were included to assess individual exposure to cold spells. Logistic regression models were performed to fit the association between cold spell days and CHD severity stratified by different tertiles of PM2.5 and NDVI. In this study, 1937 CHD patients were included. The cold spell defined as at least four consecutive days with daily mean temperature below the 5th percentile exhibited the optimum model. We found that a 4-day increase in cold spell days was associated with more severe CHD (OR = 1.170, 95% CI: 1.074, 1.282). Such an association was more pronounced under higher levels of PM2.5 by OR = 1.270 (1.086, 1.494) and lower levels of greenness by OR = 1.240 (1.044, 1.476). Compared with daytime and compound cold spells, nighttime cold spells showed the strongest association with CHD severity by OR = 1.141 (1.026, 1.269). This study showed that exposure to cold spells was positively associated with CHD severity, especially the nighttime cold spells. The association between cold spells and CHD severity was more significant in high levels of PM2.5 and low levels of greenness.
Collapse
Affiliation(s)
- Zhaoyuan Li
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Jing Wan
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Shouxin Peng
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Ruonan Wang
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Zhongli Dai
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Cuiyi Liu
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Yujia Feng
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Hao Xiang
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China.
| |
Collapse
|
3
|
Guo Y, Xie Y, Wei X, Guo C, Chen P, Wang Y, Mu Y, Shi X, Zhu J, Liang J, Liu Q. Disparities of Heatwave-Related Preterm Birth in Climate Types - China, 2012-2019. China CDC Wkly 2023; 5:1094-1100. [PMID: 38125913 PMCID: PMC10728556 DOI: 10.46234/ccdcw2023.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023] Open
Abstract
What is already known about this topic? An association between prenatal heatwave exposure and the risk of preterm birth was found. However, the disparities in heatwave-related preterm birth across different climate types have not been examined. What is added by this report? This nationwide case-crossover study investigated the association between heatwave exposure and preterm birth across different Köppen-Geiger climate types. Among pregnant women residing in the arid-desert-cold climate type, exposure to compound heatwaves was found to be associated with a significantly higher risk of preterm birth {adjusted odds ratios (AORs) ranged from 1.55 [95% confidence interval ( CI): 1.21-1.97] to 2.11 (95% CI: 1.35-3.31)}. In contrast, among pregnant women residing in the tropical monsoonal climate type, exposure to daytime-only heatwaves was associated with an increased risk of preterm birth [AORs ranged from 1.25 (95% CI: 1.03-1.51) to 1.37 (95% CI: 1.05-1.77)]. What are the implications for public health practice? Specific interventions should be implemented in China to mitigate the risk of preterm birth related to heatwaves, particularly for pregnant women residing in arid-desert-cold and tropical monsoonal climates.
Collapse
Affiliation(s)
- Yafei Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Chinese Center for Disease Control and Prevention Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanxia Xie
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Xiaohui Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
| | - Chenran Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
| | - Peiran Chen
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Yi Mu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Xiaoming Shi
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Juan Liang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu City, Sichuan Province, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu City, Sichuan Province, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China
| |
Collapse
|