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Zhai G, Qi J, Chai G, Zhou W, Wang J. Effects of large temperature change lasting for several days on cardiovascular disease hospital admissions among farmers in China's Western villages. Int J Environ Health Res 2024; 34:443-454. [PMID: 36469800 DOI: 10.1080/09603123.2022.2153807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Global climate change has resulted in an increase in the frequency, intensity, and duration of extreme events. However, we know very little about the associations between large temperature changes lasting for several days (LTCD) and CVD, particularly in less-developed, rural areas. We collected daily data on cardiovascular-related diseases and weather conditions from 119 villages in seven counties between 2010 and 2016. A distributed lag non-linear model was used to investigate the association between LTCD and relative risk (RR) of hospital admissions for CVD. Analyses were stratified by the duration and intensity of LTCD, age, and sex. The RR of CVD increases with the intensity and duration of LTCD. Men and young people were more vulnerable to LTCD of longer duration and higher intensity than women and old. Our findings may help local public health authorities develop adaptive preventive strategies targeting inhabitants of villages.
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Affiliation(s)
- Guangyu Zhai
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, China
| | - Jintao Qi
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, China
| | - Guorong Chai
- School of Management, Lanzhou University, Lanzhou, China
| | - Wenjuan Zhou
- Network Center, Gansu Provincial Hospital, Lanzhou, China
| | - Jiancheng Wang
- Network Center, Gansu Provincial Hospital, Lanzhou, China
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2
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Amoatey P, Osborne NJ, Darssan D, Xu Z, Doan QV, Phung D. The effects of diurnal temperature range on mortality and emergency department presentations in Victoria state of Australia: A time-series analysis. Environ Res 2024; 240:117397. [PMID: 37879389 DOI: 10.1016/j.envres.2023.117397] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/30/2023] [Accepted: 10/11/2023] [Indexed: 10/27/2023]
Abstract
State of Victoria, Australia (SVA) has a wide variation of diurnal temperatures (DTR). DTR has been reported to be associated with risk of mortality and morbidity. We examined the association between exposure to DTR and risk of all-cause mortality and emergency department (ED) presentations in the SVA. We obtained data on daily counts of deaths and ED presentations, and weather data from 1 st January 2000─2019. We applied a quasi-Poisson time-series regression analysis to examine the association between daily DTR exposures and risk of mortality and ED presentations. The analyses were queried by age, sex, seasons, ED presentations triages, and departure status. Risk of mortality and ED presentation increased by 0.33% (95% CI: 0.24%-0.43%), and 0.094% (95% CI: 0.077%-0.11%) in relation to one degree increase in the daily DTR. The association between DTR and ED presentations was stronger in children (0-15 years) (0.38% [95% CI: 0.34%-0.42%]) and the elderly (75+ years) (0.34% [95% CI: 0.29%-0.39%]). Resuscitation, which was consistently accounted for the highest vulnerability to DTR variation, increased by 0.79% (95% CI: 0.60%-0.99%). This study suggests that the risk of mortality and ED presentations associates with the increase of DTR. Children, the elderly, and their caregivers need to be made aware of the health risk posed by DTR.
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Affiliation(s)
- Patrick Amoatey
- School of Public Health, Faculty of Medicine, The University of Queensland, Australia
| | - Nicholas J Osborne
- School of Public Health, Faculty of Medicine, The University of Queensland, Australia; School of Population Health, University of New South Wales, Sydney, NSW 2052, Australia; European Centre for Environment and Human Health (ECEHH), University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro TR1 3HD, Cornwall, UK; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Australia
| | - Darsy Darssan
- School of Public Health, Faculty of Medicine, The University of Queensland, Australia
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Australia
| | - Quang-Van Doan
- Center for Computational Sciences, University of Tsukuba, Japan
| | - Dung Phung
- School of Public Health, Faculty of Medicine, The University of Queensland, Australia; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Australia.
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3
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Zhai G, Gao Z, Zhou W. Effects of apparent temperature on cardiovascular disease admissions in rural areas of Linxia Hui Autonomous Prefecture. Sci Rep 2023; 13:14971. [PMID: 37696907 PMCID: PMC10495458 DOI: 10.1038/s41598-023-42232-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 09/07/2023] [Indexed: 09/13/2023] Open
Abstract
Cardiovascular disease (CVD) is a major threat to public health worldwide. The relationship between CVD and temperature has been widely reported in developed countries and regions. However, there are few studies of severe CVD in poor rural areas of developing countries. Therefore, this study aimed to explore the relationship between CVD and apparent temperature (AT) in a rural area of Linxia Hui Autonomous Prefecture, China. Daily CVD admission data and meteorological data were collected from Linxia between 2014 and 2015. The media of AT was used as the reference temperature to estimate the cumulative relative risk (RR) of CVD admission. The distributed lag non-linear models were used to examine the association between AT and cumulative RR of CVD admission at lag 0-21 days. In Linxia, high AT (20 °C) had a persistent adverse effect on cumulative RR of CVD admissions, and the RR increased with increasing lag days. Cold (- 10 °C) had a protective effect on the first and later lag days (lag 0-14 and lag 0-21). Adults (aged < 65 years) and females were more susceptible to the effects of heat than males and the elderly (aged ≥ 65 years). In Linxia, China, extremely high AT is an important risk factor for CVD hospitalizations in suburban and rural populations.
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Affiliation(s)
- Guangyu Zhai
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China
| | - Ziyao Gao
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China.
| | - Wenjuan Zhou
- Gansu Provincial Hospital, Lanzhou, 730000, Gansu, People's Republic of China
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Liu P, Chen Z, Xia X, Wang L, Li X. Potential role of ambient temperature as a trigger for intracerebral hemorrhage: a time-stratified case-crossover study in Tianjin, China. Environ Sci Pollut Res Int 2023; 30:80988-80995. [PMID: 37310604 DOI: 10.1007/s11356-023-27942-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 05/23/2023] [Indexed: 06/14/2023]
Abstract
The adverse effects of ambient temperature on human health are receiving increasing attention, yet evidence of its impact on intracerebral hemorrhage (ICH) onset is limited. Here, the relationship between ambient temperature and ICH was evaluated. A time-stratified case-crossover analysis was performed based on 4051 ICH patients admitted to five stroke units in Tianjin between January 2014 and December 2020. Conditional logistic regression was applied to evaluate the associations between the daily mean temperature (Tm) or daily temperature range (DTR) and ICH onset. We found a negative association between Tm and ICH onset (OR = 0.977, 95% CI 0.968-0.987) but not between DTR and ICH onset. In stratified analyses, men and individuals aged ≥ 60 years were more susceptible to low-ambient temperature effects; corresponding adjusted ORs were 0.970 (95% CI 0.956-0.983) and 0.969 (95% CI 0.957-0.982), respectively. Tm significantly affected patients with deep ICH (OR = 0.976, 95% CI 0.965-0.988), but had no effect on lobar ICH. There was also seasonal heterogeneity in the effect of Tm on ICH onset, with Tm being negatively associated with ICH onset only in the warm season (OR = 0.961, 95% CI 0.941-0.982). Results suggest that the low-ambient temperature might trigger ICH onset, especially for the male and elderly population, providing important health guidance to prevent cold exposure-induced ICH.
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Affiliation(s)
- Peilin Liu
- Department of Neurology, The Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Tianjin, 300211, China
| | - Zhuangzhuang Chen
- Department of Neurology, The Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Tianjin, 300211, China
| | - Xiaoshuang Xia
- Department of Neurology, The Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Tianjin, 300211, China
| | - Lin Wang
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xin Li
- Department of Neurology, The Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Tianjin, 300211, China.
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Liu Y, Guo Y, Liu Z, Feng X, Zhou R, He Y, Zhou H, Peng H, Huang Y. Augmented temperature fluctuation aggravates muscular atrophy through the gut microbiota. Nat Commun 2023; 14:3494. [PMID: 37311782 DOI: 10.1038/s41467-023-39171-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 06/01/2023] [Indexed: 06/15/2023] Open
Abstract
Large temperature difference is reported to be a risk factor for human health. However, little evidence has reported the effects of temperature fluctuation on sarcopenia, a senile disease characterized by loss of muscle mass and function. Here, we demonstrate that higher diurnal temperature range in humans has a positive correlation with the prevalence of sarcopenia. Fluctuated temperature exposure (10-25 °C) accelerates muscle atrophy and dampens exercise performance in mid-aged male mice. Interestingly, fluctuated temperature alters the microbiota composition with increased levels of Parabacteroides_distasonis, Duncaniella_dubosii and decreased levels of Candidatus_Amulumruptor, Roseburia, Eubacterium. Transplantation of fluctuated temperature-shaped microbiota replays the adverse effects on muscle function. Mechanically, we find that altered microbiota increases circulating aminoadipic acid, a lysine degradation product. Aminoadipic acid damages mitochondrial function through inhibiting mitophagy in vitro. And Eubacterium supplementation alleviates muscle atrophy and dysfunction induced by fluctuated temperature. Our results uncover the detrimental impact of fluctuated temperature on muscle function and provide a new clue for gut-muscle axis.
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Affiliation(s)
- Ya Liu
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yifan Guo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zheyu Liu
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xu Feng
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Rui Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yue He
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haiyan Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hui Peng
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yan Huang
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, Hunan, China.
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Wang L, Cheng J, Yu G, Zong Q, Zhai C, Hu W, Wang Y, Yan Z, Zhang T, Wang J, Zhang C, Su H, Zou Y. Impact of diurnal temperature range on other infectious diarrhea in Tongcheng, China, 2010-2019: a distributed lag non-linear analysis. Environ Sci Pollut Res Int 2023; 30:51089-51098. [PMID: 36808040 DOI: 10.1007/s11356-023-25992-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 02/14/2023] [Indexed: 04/16/2023]
Abstract
Our study aimed to quantify the exposure-lag-response effects of the diurnal temperature range (DTR) on other infectious diarrhea (OID) in Tongcheng city and examine the vulnerable populations. Distributed lag non-linear model (DLNM) and generalized additive model (GAM) were applied jointly to quantify the association between DTR and the daily number of OID cases compared with the median DTR. Stratified analysis was performed by gender, age, and seasons of onset. There are a total of 8231 cases during this decade. We observed a j-shaped relationship between DTR and OID, with a peak point at the maximum DTR (RR: 2.651, 95% CI: 1.320-5.323) compared to the median DTR. As DTR increased from 8.2 to 10.9 °C, we found the RRs started to decrease and then rise from day 0, and the minimum value occurred on day 7 (RR:1.003, 95% CI: 0.996-1.010). From stratified analysis, we observed that females and adults are more likely to be affected by high DTR significantly. In addition, the influence of DTR was different in cold and warm seasons. High DTR in warm seasons affects the number of OID daily cases, but no statistical significance was identified in cold seasons. This study suggests a significant relationship between high DTR and the incidence risk of OID.
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Affiliation(s)
- Linlin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Guanghui Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Qiqun Zong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Chunxia Zhai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Wanqin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Yuhua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Ziye Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Tingyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Junwu Wang
- Tongcheng Center for Disease Control and Prevention, Tongcheng, China
| | - Chengye Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China.
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Aghababaeian H, Sharafkhani R, Kiarsi M, Mehranfar S, Moosavi A, Araghi Ahvazi L, Aboubakri O. Diurnal temperature range and hospital admission due to cardiovascular and respiratory diseases in Dezful, a city with hot climate and high DTR fluctuation in Iran: an ecological time-series study. Environ Geochem Health 2023:10.1007/s10653-023-01533-8. [PMID: 37000334 DOI: 10.1007/s10653-023-01533-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
The results of previous studies have indicated the effects of temperature changes on health status. The present study was conducted to investigate the effects of diurnal temperature range (DTR) and hospital admission on cardiovascular and respiratory diseases in Dezful, in Iran. In this ecological time-series study, data related to hospital admissions based on ICD-10, meteorological, and climatological data were gathered over a period of six years from 2014 to 2019. A distributed lag nonlinear model combined with a quasi-Poisson regression was then used to assess the impact of DTR on cardiovascular and respiratory hospital admissions. Potential confounders, including wind speed, air pollution, seasonality, time trend, weekends and holidays, days of week, and humidity were controlled. In extreme low DTRs, the cumulative effects of cardiovascular admissions significantly increased in total, and in warm and cold seasons (Lag0-21, P ≤ 0.05). In addition, in extreme high DTRs, the cumulative effects of cardiovascular significantly decreased in total (Lag0-13 and Lag0-21, P ≤ 0.05), and in warm (Lag0-21, P ≤ 0.05) and cold seasons (Lag0-21, P ≤ 0.05). Moreover, respiratory admissions significantly decreased in total (Lag0-21, P ≤ 0.05) and in warm season (Lag0-21, P ≤ 0.05).Our result indicates that extreme low DTRs could increase the risk of daily cardiovascular admissions, and extreme high DTRs may cause a protective effect on daily respiratory and cardiovascular admissions in some regions with high fluctuations in DTR.
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Affiliation(s)
- Hamidreza Aghababaeian
- Department of Medical Emergencies, School of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran
- Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran
| | - Rahim Sharafkhani
- School of Public Health, Khoy University of Medical Sciences, Khoy, Iran.
| | - Maryam Kiarsi
- Department of Medical Emergencies, School of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran
- Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran
| | - Shahzad Mehranfar
- Department of Nursing, School of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran
| | - Ahmad Moosavi
- Department of Community Medicine, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran
| | - Ladan Araghi Ahvazi
- Department of Medical Emergencies, School of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran
- Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran
| | - Omid Aboubakri
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
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Liu B, Fang XY, Yan YL, Wu J, Lv XJ, Zhang J, Qi LW, Qian TT, Cai YY, Fan YG, Ye DQ. Short-term effect of ambient temperature and ambient temperature changes on the risk of warts outpatient visits in Hefei, China: a retrospective time-series study. Environ Sci Pollut Res Int 2023; 30:19342-19355. [PMID: 36239885 DOI: 10.1007/s11356-022-23522-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Concerns are growing about the adverse health effects of ambient temperature and ambient temperature changes. However, the association between ambient temperature and ambient temperature changes on the risk of warts outpatient visits is poorly understood. Our study used the distributed lag non-linear model (DLNM) aimed to evaluate the association between ambient temperature, ambient temperature changes (including temperature change between neighboring days (TCN) and diurnal temperature range (DTR)), and warts outpatient visits. We also performed subgroup analyses in order to find susceptible populations by gender and age groups. The maximum relative risk (RR) of low ambient temperature (0 °C) for warts outpatient visits was 1.117 (95% CI: 1.041-1.198, lag 04 days), and the maximum RR of high ambient temperature (32 °C) for warts outpatient visits was 1.318 (95% CI: 1.083-1.605, lag 07 days). The large temperature drop (TCN = - 3 °C) decreased the risk of warts visits, with the lowest RR value at the cumulative exposure of lag 7 days (RR = 0.888, 95% CI: 0.822-0.959), and the large temperature rise (TCN = 2 °C) increased the risk of warts visits, with the highest RR value at the cumulative exposure of lag 7 days (RR = 1.080, 95% CI: 1.022-1.142). Overall, both low and high ambient temperatures and large temperature rise can increase the risk of warts visits, while large temperature drop is a protective factor for warts visits. However, we did not find any association between DTR and warts visits. Furthermore, subgroup analyses showed that males and the young (0-17 years old) were more sensitive to low and high ambient temperatures, and the elderly (≥ 65 years old) were more susceptible to TCN. The results may provide valuable evidence for reducing the disease burden of warts in the future.
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Affiliation(s)
- Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Xiao-Jie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Liang-Wei Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ting-Ting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Yu Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Wang R, Tian J, Li L, Liu X, Leng M, Ye Z, Li G. Relationship between diurnal temperature range and emergency ambulance dispatches due to stroke in Guangzhou, China. Sci Total Environ 2022; 817:153037. [PMID: 35031377 DOI: 10.1016/j.scitotenv.2022.153037] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The evidence between diurnal temperature range (DTR) and stroke remains controversial and sparse. We aimed to assess the relationship between DTR and emergency ambulance dispatches (EADs) due to stroke, and to explore whether there were effect modifications to the relationship. METHODS A Quasi-Poisson generalized linear regression combined with a distributed lag non-linear model was used to examine the relationship between DTR and EADs for stroke between January 1st 2011 and June 30th 2018 in Guangzhou, China. We estimated the effects of the low DTR and high DTR (defined as DTR below and above 10 °C respectively) on EADs. The effects of minimum, maximum, 5th, 25th, 50th, 75th, and 95th percentiles of DTR compared with the DTR of 10 °C were also analyzed. RESULTS A total of 20,275 EADs for stroke were included for analyses, among which 17,556 EADs were used in the model further adjusted for age and sex. A quasi-U-shaped relationship between DTR and EADs over lag0-2 days was observed. For the low DTR, per 1 °C decrease in DTR was significantly associated with an increase of 2.64% (RR = 1.03, 95% CI: 1.01-1.04) for EADs, while per 1 °C increase for the high DTR was non-significantly related with an increased risk of EADs (RR = 1.01, 95% CI: 0.90-1.13). Significant effects of the 5th and 25th percentiles of DTR on EADs were found when compared with the DTR of 10 °C. No significant effect modifications by age, sex or season were found to the association between DTR and EADs. CONCLUSIONS We found a quasi-U-shaped relationship between DTR and EADs due to stroke in this study, while age, sex or season did not significantly modify the association between DTR and EADs. More high-quality evidence is needed to further explore and validate the relationship between DTR and stroke.
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Affiliation(s)
- Ruoting Wang
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Junzhang Tian
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Likang Li
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xintong Liu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Meifang Leng
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zebing Ye
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
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Ponjoan A, Blanch J, Alves-Cabratosa L, Martí-Lluch R, Comas-Cufí M, Cirach M, Nieuwenhuijsen M, Garcia-Gil MDM, Ramos R. Impact of residential greenness on myocardial infarction in the population with diabetes: A sex-dependent association? Environ Res 2022; 205:112449. [PMID: 34883080 DOI: 10.1016/j.envres.2021.112449] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 10/04/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Living in urban areas with abundant greenness might provide health benefits in general population. Literature suggests that sex/gender plays a role in the association between greenness and health outcomes. But the impact of greenness in populations with moderate to high cardiovascular risk, such as persons with diabetes, is still unknown. Our aim was to evaluate the relationship between urban greenness and myocardial infarction incidence in persons with type 2 diabetes in Barcelona (Catalonia, Spain), and seek potential gender/sex differences in this association. This retrospective cohort study is based on data from the System for the Development of Research in Primary Care (SIDIAP database). We used Cox models to estimate if a 0.01 increase in Normalized Difference Vegetation Index (NDVI) at census tract level was associated to reduced risk of developing a myocardial infarction. Models were adjusted by demographic and clinical characteristics at individual level, and by environmental and socioeconomic variables at census tract level. Amongst 41,463 persons with diabetes and 154,803.85 person-years of follow-up, we observed 449 incident cases of acute myocardial infarction. For each 0.01 increment in NDVI the risk of developing a myocardial infarction decreased by 6% (Hazard Ratio, HR = 0.94; 95%CI, 0.89-0.99) in the population with diabetes. When stratifying by sex, we observed a significant association only in men (HR = 0.91; 95%CI, 0.86-0.97). People with diabetes living in urban greener areas might benefit from reduced cardiovascular risk, specially men. We observed sex/gender disparities, which could be related to different exposures and activities performed in green spaces between men and women. Further studies are needed to confirm sex/gender disparities between greenness exposure and cardiovascular outcomes. Our findings contribute to improve the health of people with diabetes who should be recommended to spent time and exercise in green areas.
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Affiliation(s)
- Anna Ponjoan
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Girona Biomedical Research Institute (IDIBGI), Dr.Trueta University Hospital, 17190, Girona, Catalonia, Spain.
| | - Jordi Blanch
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Lia Alves-Cabratosa
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Ruth Martí-Lluch
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Girona Biomedical Research Institute (IDIBGI), Dr.Trueta University Hospital, 17190, Girona, Catalonia, Spain.
| | - Marc Comas-Cufí
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Marta Cirach
- ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain.
| | - Mark Nieuwenhuijsen
- ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain.
| | - María Del Mar Garcia-Gil
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Rafel Ramos
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Translab Research Group, Department of Medical Sciences, School of Medicine, University of Girona, Girona, Catalonia, Spain.
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11
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Li Y, Wang B, Wang S, Xu S, Li S, He H, Niu J, Luo B. Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China. Environ Sci Pollut Res Int 2022; 29:28637-28646. [PMID: 34988822 DOI: 10.1007/s11356-021-17102-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/14/2021] [Indexed: 06/14/2023]
Abstract
Climate has received an increasing attention due to its adverse effects on human health, but the effects on the urinary system are still short of enough evidence. Therefore, we carry out this study to analyze the relationship between meteorological factors and urinary system health in arid areas of western China. In this study, the daily numbers of outpatients with the urinary system diseases from multiple hospitals in three cities in Gansu province (Lanzhou, Zhangye, and Tianshui city) were collected and used for analysis. The distributed lag non-linear models (DLNM) with a quasi-Poisson distribution were used to estimate the associations between meteorological factors and daily outpatients for urinary system diseases in these three cities, and then a multivariate meta-analysis was applied to pool the estimates of city-specific effects. We found that the ambient temperature (AT) and relative humidity (RH) were significantly associated with the outpatient visits of urinary system diseases. The effects of meteorological factors on outpatients with urinary system diseases for both males and females were statistically significant at different lag days. The higher AT and lower RH were associated with the higher risk of urinary system diseases. We also observed substantial lag effects of meteorological factors on outpatients for both males and females. Among all disease types, renal tubule-interstitial diseases had the strongest relationships with meteorological factors. Our results indicate that the higher AT and lower RH may increase the outpatient visits for urinary system diseases, with significant lag effects in semi-arid areas.
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Affiliation(s)
- Yanlin Li
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Shunxia Wang
- Department of General Medicine, the First Hospital of Tianshui, Tianshui, Gansu, 741000, People's Republic of China
| | - Shenggang Xu
- Medical College of Hexi University, Zhangye, Gansu, 734000, People's Republic of China
| | - Sheng Li
- The First People's Hospital of Lanzhou, Lanzhou, Gansu, 730050, People's Republic of China
| | - Hupeng He
- Gansu Provincial Centre for Diseases Prevention and Control, Lanzhou, Gansu, 730000, People's Republic of China
| | - Jingping Niu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China.
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, People's Republic of China.
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12
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Pan R, Yao Z, Yi W, Wei Q, He Y, Tang C, Liu X, Son S, Ji Y, Song J, Cheng J, Ji Y, Su H. Temporal trends of the association between temperature variation and hospitalizations for schizophrenia in Hefei, China from 2005 to 2019: a time-varying distribution lag nonlinear model. Environ Sci Pollut Res Int 2022; 29:5184-5193. [PMID: 34417696 DOI: 10.1007/s11356-021-15797-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/28/2021] [Indexed: 06/13/2023]
Abstract
Along with climate change, unstable weather patterns are becoming more frequent. However, the temporal trend associated with the effect of temperature variation on schizophrenia (SCZ) is not clear. Daily time-series data on SCZ and meteorological factors for 15-year between January 1, 2005 and December 31, 2019 were collected. And we used the Poisson regression model combined with the time-varying distribution lag nonlinear model (DLNM) to explore the temporal trend of the association between three temperature variation indicators (diurnal temperature range, DTR; temperature variability, TV; temperature change between neighboring days, TCN) and SCZ hospitalizations, respectively. Meanwhile, we also explore the temporal trend of the interaction between temperature and temperature variation. Stratified analyses were performed in different gender, age, and season. Across the whole population, we found a decreasing trend in the risk of SCZ hospitalizations associated with high DTR (from 1.721 to 1.029), TCN (from 1.642 to 1.066), and TV (TV0-1, from 1.034 to 0.994; TV0-2, from 1.041 to 0.994, TV0-3, from 1.044 to 0.992, TV0-4, from 1.049 to 0.992, TV0-5, from 1.055 to 0.993, TV0-6, from 1.059 to 0.991, TV0-7, from 1.059 to 0.990), but an increasing trend in low DTR (from 0.589 to 0.752). Subgroup analysis results further revealed different susceptible groups. Besides, the interactive effect suggests that temperature variation may cause greater harm under low-temperature conditions. There was a synergy between TCN and temperature on the addition and multiplication scales, which were 1.068 (1.007, 1.133) and 0.067 (0.009, 0.122), respectively. Our findings highlight public health interventions to mitigate temperature variation effects needed to focus not only on high temperature variations but also moderately low temperature variations. Future hospitalizations for SCZ associated with temperature variation may be more severely affected by temperature variability from low temperature environments. The temporal trend is associated with the effect of temperature variation on schizophrenia (SCZ).
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Affiliation(s)
- Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Zhenhai Yao
- Anhui Public Meteorological Service Center, Hefei, 230011, Anhui, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Shasha Son
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yanhu Ji
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yifu Ji
- The Fourth People's Hospital, Hefei, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
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Zha Q, Chai G, Zhang ZG, Sha Y, Su Y. Effects of diurnal temperature range on cardiovascular disease hospital admissions in farmers in China's Western suburbs. Environ Sci Pollut Res Int 2021; 28:64693-64705. [PMID: 34318420 DOI: 10.1007/s11356-021-15459-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/12/2021] [Indexed: 06/13/2023]
Abstract
Cardiovascular disease (CVD), reported to relate with climate change, is the leading cause of global mortality and morbidity. Since the relevant information is quite limited from suburbs and countryside in developing and underdeveloped countries, there are no studies that focused on morbidity through diurnal temperature range (DTR) for these regions. This is the first study to evaluate the short-term effect of DTR on CVD hospital admission in suburban farmers, as well as to identify vulnerable subpopulations. Daily time series data of CVD hospital admissions on suburban farmers of Qingyang, China, and meteorological data from 2011 to 2015 were collected, and a distributed lag non-linear model (DLNM) combined with a quasi-Poisson generalized additive regression model (GAM) was used to examine the exposure-response relationship and delayed effect between DTR and CVD hospital admissions. Stratified analyses by age and gender were performed and extreme DTR effects were examined. Non-linear relation between DTR and CVD hospital admissions was observed, and whether DTR lower or higher than the reference (13 °C, 50th percentile) had adverse effect while lower DTR have slightly higher impact. Also, both extreme low and extreme high DTR had adverse effect. Besides, adults (age < 65) and males were more vulnerable to the effects of DTR compared with the old (age ≥ 65) and females, respectively. This study provides evidence that not only high DTR but also low DTR had adverse effects on CVD which should be paid attention to. Adults and males were more vulnerable among suburban farmers. The results are inconsistent with the studies from urban and indicate differences between urban and suburban residents. Multiple factors such as occupations, risk awareness, and lifestyles could have a significant influence on CVD morbidity, and further study is needed to explore more evidence.
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Affiliation(s)
- Qunwu Zha
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
- Hospital Management Research Center, Lanzhou University, Lanzhou, 730000, People's Republic of China
- Research Center for Emergency Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Guorong Chai
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
- Hospital Management Research Center, Lanzhou University, Lanzhou, 730000, People's Republic of China.
- Research Center for Emergency Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
| | - Zhe-George Zhang
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China.
- Department of Decision Sciences, Western Washington University, Bellingham, WA, 98225-9077, USA.
- Beedie School of Business, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
| | - Yongzhong Sha
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
- Hospital Management Research Center, Lanzhou University, Lanzhou, 730000, People's Republic of China
- Research Center for Emergency Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Yana Su
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
- College of Economics and Management, Lanzhou Institute of Technology, Lanzhou, 730050, People's Republic of China
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14
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Zhai G, Qi J, Chai G. Impact of diurnal temperature range on cardiovascular disease hospital admissions among Chinese farmers in Dingxi (the Northwest China). BMC Cardiovasc Disord 2021; 21:252. [PMID: 34022788 PMCID: PMC8140512 DOI: 10.1186/s12872-021-02065-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 05/13/2021] [Indexed: 11/10/2022] Open
Abstract
Background Diurnal temperature range (DTR) has been widely applied in exploring its effect on cardiovascular disease (CVD). However, few studies have investigated the correlations between DTR and CVD in poor rural areas in China. This study aimed to examine the association between DTR and CVD in rural China. Methods A distributed lag nonlinear model was used to evaluate the relationship between DTR and CVD risk among farmers living in the city of Dingxi (Northwest China) in the period from January 1, 2016 to December 31, 2019. Results We observed nonlinear M-patterns between the relative risk (RR) of DTR (reference: median DTR, 12 °C) and CVD hospitalizations in all subgroups. The peak RR of CVD was noticed at DTR of 6 °C (total: 1.418; men: 1.546; women: 1.403; young: 1.778; old: 2.549) and 17 °C (total: 1.781; men: 1.937; women: 1.712; young: 2.233; old: 1.798). The adverse effect of DTR on CVD risk was more pronounced in females (RR 1.438) and elderly (RR 2.034) than males (RR 1.141) and younger adults (RR 1.852) at the extremely low (5th, 4 °C) DTR. The reverse was observed at the extremely high DTR (95th, 19 °C) (male: 1.267; females: 0.993; young: 1.586; old: 1.212). Conclusions DTR is associated with CVD morbidity. This association was more pronounced in women and elderly, but men and younger peoples at extremely high DTR (19 °C). Future measures should take DTR into account to prevent CVD among susceptible populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02065-8.
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Affiliation(s)
- Guangyu Zhai
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China.,School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jintao Qi
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China.
| | - Guorong Chai
- School of Management, Lanzhou University, Lanzhou, 730000, People's Republic of China
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