Global Transitions最新文献

{"title":"Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods","authors":"S. Prathibha,&nbsp;Siddappaji","doi":"10.1016/j.glt.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.glt.2024.04.001","url":null,"abstract":"<div><p>The incidence of diabetic retinopathy globally calls for advanced and more universally applicable computer-aided diagnosis (CAD) systems. This survey paper explores the current state of vision-based CAD techniques for the detection and classification of diabetic retinopathy, a diabetes-induced eye disorder that can lead to severe visual impairment or blindness. Characterized by a variety of manifestations including microaneurysms, exudates, hemorrhages, and macular detachment, diabetic retinopathy presents substantial challenges for automated detection. This is primarily due to the heterogeneity of retinal fundus images, which display diverse spatiotextural features and intricate vascular structures. Our exhaustive review indicates that most existing methodologies predominantly concentrate on isolated diabetic retinopathy types, employing localized spatiotextural feature analysis for classification. Such specificity often results in limited accuracy and generalizability, restricting practical real-world application. Furthermore, contemporary leading methods generally focus on single retinal characteristics, necessitating patients to undergo multiple CAD procedures, thereby increasing time, costs, and possibly intensifying retinal complexities. To overcome these obstacles, we propose the adoption of multi-trait-driven CAD solutions. Utilizing the potent capabilities of deep learning, these solutions could employ high-dimensional, multi-cue sensitive feature extraction and ensemble learning for classification. This approach is designed to improve the generalizability and dependability of CAD systems, offering a holistic solution capable of effectively managing the diverse manifestations of diabetic retinopathy. Our study highlights the need for a fundamental transformation in diabetic retinopathy CAD systems, motivating further research towards robust, multi-modal methods to enhance detection, classification, and grading of this widespread ailment.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 93-112"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000045/pdfft?md5=135655ab9ce675119e976cfded0d8e40&pid=1-s2.0-S2589791824000045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140900998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction in inpatient and severe condition visits for respiratory diseases during the COVID-19 pandemic in Wuhan, China","authors":"Xuemin Zhu ,&nbsp;Yuehua Liu ,&nbsp;Wei Dai ,&nbsp;Wannian Liang ,&nbsp;Guanqiao Li","doi":"10.1016/j.glt.2023.12.001","DOIUrl":"https://doi.org/10.1016/j.glt.2023.12.001","url":null,"abstract":"<div><h3>Background</h3><p>In Wuhan, China, a stringent lockdown was implemented to contain the spread of COVID-19, transitioning later to normalised prevention and control strategy. This study examines the trends in hospital visits for acute and chronic respiratory diseases, with a focus on outpatient, inpatient, and severe condition visits.</p></div><div><h3>Methods</h3><p>The study used administrative health insurance data spanning from January 2018 to August 2021, an interrupted time series analysis was conducted to assess the trend in hospital visits per million population for respiratory diseases. To confirm whether the change was exclusive to respiratory diseases, neoplasms and intracerebral haemorrhage were used as controls. The impact of the pandemic was estimated by comparing by weekly admissions to pre-pandemic levels. Subgroup analyses dissected variations by disease and visit types.</p></div><div><h3>Results</h3><p>Hospital visits for respiratory diseases declined significantly during the lockdown and exhibited a slower recovery in the later normalised prevention and control period compared to the control conditions. As of August 2021, outpatient visits increased by over 22.2% above the pre-pandemic level, while inpatient and severe condition visits witnessed significant reductions, falling to 46.7% and 80.6% of pre-pandemic levels, respectively. Compared to three other subgroups, visits for acute lower respiratory infections experienced the most significant decline, with inpatient and severe visits dropping to 23.9% and 25.7% of pre-pandemic levels.</p></div><div><h3>Interpretation</h3><p>Our study revealed a persistent reduction in inpatient and severe case visits for respiratory diseases throughout the ongoing pandemic. These findings suggested the possible role of non-pharmaceutical interventions in mitigating acute and chronic non-COVID respiratory diseases.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 37-44"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791823000385/pdfft?md5=9ac30ea9d45cf0d305566a2df4793ea9&pid=1-s2.0-S2589791823000385-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139399450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The reduction in macrosomia prevalence over a decade following the intensive intervention programs","authors":"Wei Zheng ,&nbsp;Xin Yan ,&nbsp;Shengnan Liang ,&nbsp;Kaiwen Ma ,&nbsp;Xianxian Yuan ,&nbsp;Lirui Zhang ,&nbsp;Junhua Huang ,&nbsp;Ruihua Yang ,&nbsp;Huiyuan Pang ,&nbsp;Li Zhang ,&nbsp;Zhihong Tian ,&nbsp;Guanghui Li","doi":"10.1016/j.glt.2024.08.001","DOIUrl":"10.1016/j.glt.2024.08.001","url":null,"abstract":"<div><h3>Objective</h3><p>To assess changes in macrosomia prevalence following a two-stage lifestyle intervention program.</p></div><div><h3>Methods</h3><p>The study collected annual delivery data from singleton pregnant women at the Beijing Obstetrics and Gynecology Hospital in Beijing, China (2014–2023). The first intervention stage involved nutritional assessment and lifestyle management in pregnancy, and maternal weight and fetal growth monitoring were added in the second stage, with intensive management as necessary. Pre-intervention births (2014–2016) served as controls. The change in macrosomia and low birth weight prevalence following the intervention was assessed by an interrupted time series analysis.</p></div><div><h3>Results</h3><p>Among 126,824 pregnant women, macrosomia prevalence decreased from 7.11 % to 4.15 % over ten years, with an accelerated decrease post-intervention (p for slope = 0.050 and 0.004 for the first and second stages), primarily contributed by the reduction in excessive gestational weight gain (adjusted population attributable risk = 28.6 %, p for Granger cause = 0.0001). The change in the increasing rate of low-birth-weight prevalence was non-significant.</p></div><div><h3>Conclusions</h3><p>Macrosomia prevalence significantly decreased over a decade following the intensive intervention programs.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 187-193"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000124/pdfft?md5=40b2f062e34ff9994490b8b295daad38&pid=1-s2.0-S2589791824000124-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-optimum temperatures modified the associations between PM2.5 and its components and hospitalizations for chronic kidney disease in China","authors":"Fulin Wang ,&nbsp;Wanzhou Wang ,&nbsp;Feifei Zhang ,&nbsp;Chao Yang ,&nbsp;Pengfei Li ,&nbsp;Jinwei Wang ,&nbsp;Shaoqing Wei ,&nbsp;Shaowei Wu ,&nbsp;Luxia Zhang","doi":"10.1016/j.glt.2024.09.001","DOIUrl":"10.1016/j.glt.2024.09.001","url":null,"abstract":"<div><div>Epidemiological evidence concerning whether exposure to fine particulate matter (PM_2.5) and its components was linked to an elevated risk of hospitalizations for chronic kidney disease (CKD) remains insufficient. Moreover, it remains unclear whether ambient temperatures have potential modification effects on PM_2.5's impacts. In the current study, we collected a nationwide sample of 2,259,240 hospitalization records for CKD in 260 Chinese cities. The associations between air pollutants and CKD hospitalizations were determined by the space-time-stratified case-crossover design. We further assessed the effects of PM_2.5 and its components in three temperature strata [i.e., lowest (&lt;25th), medium (25–75th), and highest (&gt;75th)]. The findings demonstrated the significant and monotonic associations between risk of CKD hospitalizations and exposure to PM_2.5, black carbon (BC), sulfate (SO₄²⁻), nitrate (NO₃⁻), ammonium (NH₄⁺), and organic matter (OM). For instance, along with an interquartile range increment in PM_2.5 (29.47 μg/m³), the relative risks (RR) were 1.016 (95 % confidence interval [CI]:1.012–1.019) at lag 0–4 days. Higher ambient temperature significantly exacerbated the estimated impact of PM_2.5 and its components on CKD hospitalizations, while significantly stronger associations were also observed at lower temperature for SO₄²⁻ and NO₃⁻. The modification effects of non-optimum temperatures varied among different etiologies of CKD and geographic regions. This study provides insights into the joint kidney health effects of climate change and air pollution. These findings highlight the necessity of protection measures against high concentration of PM_2.5 and non-optimum temperatures for the vulnerable populations.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 194-202"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000136/pdfft?md5=39c7612de8f48d6d7b1c6c30a20c4d1e&pid=1-s2.0-S2589791824000136-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of knowledge, attitude, anxiety level and perceived mental healthcare needs toward mpox infection among nursing students: A multi-center cross-sectional study","authors":"Mona Gamal Mohamed ,&nbsp;Md Rabiul Islam ,&nbsp;Sirwan Khalid Ahmed ,&nbsp;Shimaa Abdelrahim Khalaf ,&nbsp;Hanan Abdelrazik Abdelall ,&nbsp;Kochr Ali Mahmood ,&nbsp;Ekram M. Abdel Khalek ,&nbsp;Judie Arulappan ,&nbsp;Syed Masudur Rahman Dewan","doi":"10.1016/j.glt.2024.10.001","DOIUrl":"10.1016/j.glt.2024.10.001","url":null,"abstract":"<div><h3>Background</h3><div>Despite the crucial role of nursing students in managing public health crises, their understanding and attitudes towards monkeypox (mpox) remain underexplored. This study aims to assess nursing students' knowledge, attitudes, anxiety levels, and perceived need for mental healthcare support related to mpox across the UAE, Iraq, and Egypt.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted with 1,386 nursing students from three universities using non-probability purposive sampling. Participants completed a structured questionnaire covering sociodemographic information, knowledge of mpox, attitudes towards the disease, levels of anxiety, and perceived mental healthcare needs. Knowledge was categorized into poor, fair, and good, attitudes into negative, neutral, and positive, and anxiety into low, moderate, and high levels. Data were analysed for correlations using Pearson's correlation coefficient and statistical tests. We performed multivariate regression analysis to find odd ratios of assessed parameters against several sociodemographic variables.</div></div><div><h3>Results</h3><div>Among the participants, 21.8 % demonstrated good knowledge of mpox, while 53.4 % had moderate or fair knowledge and 24.8 % had poor knowledge. Attitudes were predominantly neutral (44.7 %) or negative (36 %), and 57.2 % reported moderate anxiety. Approximately 33 % of students felt a significant need for mental healthcare support. Knowledge correlated positively with attitudes and negatively with anxiety and perceived mental healthcare needs. Attitudes also negatively correlated with perceived mental healthcare needs.</div></div><div><h3>Conclusion</h3><div>The neutral or negative attitudes towards mpox suggest a need for enhanced educational interventions. Addressing these gaps through targeted training programs could improve knowledge, foster positive attitudes, and mitigate anxiety, thereby better preparing future healthcare professionals for emerging health threats.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of physical function and physical activity on cognitive function in the elderly","authors":"Chengyan Qi ,&nbsp;Xianyun Wang ,&nbsp;Dajun Li,&nbsp;Huini Ding,&nbsp;Jing Shen,&nbsp;Yuning Jiao,&nbsp;Wangziyan Lu,&nbsp;Yuandi Xi","doi":"10.1016/j.glt.2024.02.002","DOIUrl":"https://doi.org/10.1016/j.glt.2024.02.002","url":null,"abstract":"<div><p>The aim of this study is to clarify the role of physical activity level and physical function on cognitive function of the elderly. A nested case–control investigation from a middle-aged and elderly cognitive health cohort was conducted. 103 mild cognitive impairment (MCI) patients were selected for the purpose of the study and matched 1:1 according to age and sex. Handgrip strength, gait speed and 5-time chair stand test were used to evaluate physical function. The physical activity scale for the elderly (PASE) was used to assess physical activity level. The Montreal cognitive assessment (MoCA) was used to quickly screen the mild cognitive impairment of the subjects. Body composition was estimated by bioelectrical impedance analysis. The total score of MoCA and the scores of different cognitive domains in two groups were different, handgrip strength was lower in the MCI group. Multivariate logistic regression model results showed that handgrip strength decreased could increase the risk of MCI(OR = 3.008, 95%CI: 1.421,6.369), higher PASE score was correlated with lower risk of MCI (OR = 0.402, 95%CI: 0.168,0.966). After combining body composition indices, handgrip strength and PASE score remained significantly associated with the occurrence of MCI, and there is an interaction. Logistic regression models were used for receiver operating characteristic curve analysis, all models demonstrate a good level of predictive performance for MCI. Physical activity level and physical function are associated with mild cognitive impairment. Higher physical activity level, normal handgrip strength are correlated with lower risk of MCI.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 85-92"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000033/pdfft?md5=bcd333c3eee40b6450a4a0d90661267d&pid=1-s2.0-S2589791824000033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140187757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interaction effects of mental health disorders and labour productivity on economic growth in Africa","authors":"Mustapha Immurana ,&nbsp;Ibrahim Abdullahi ,&nbsp;Kwame Godsway Kisseih ,&nbsp;Muniru Azuug ,&nbsp;Ayisha Mohammed ,&nbsp;Micheal Kofi Boachie ,&nbsp;Toby Joseph Mathew Kizhakkekara ,&nbsp;Phidelia Theresa Doegah ,&nbsp;Maxwell Ayindenaba Dalaba","doi":"10.1016/j.glt.2024.09.002","DOIUrl":"10.1016/j.glt.2024.09.002","url":null,"abstract":"<div><h3>Objectives</h3><div>Mental health disorders are major public health problems confronting millions of people globally as well as in Africa. While these disorders can negatively affect the economic productivity of affected persons which can reduce economic growth, to the best of our knowledge, empirical evidence in this regard is sparse, with none emanating from the African continent. This study therefore examines the individual and combined (interaction) effects of mental health disorders and labour productivity on economic growth in Africa.</div></div><div><h3>Methods</h3><div>The study uses data comprising 45 African countries over the period, 2002–2019. Prevalence of schizophrenia, depression, dysthymia, bipolar and anxiety are the mental health disorders used while the log difference between the current year's real Gross Domestic Product (GDP) and the past year's real GDP is used to measure economic growth. Labour productivity is measured by the rate of growth in output (GDP) per worker. The system Generalised Method of Moments (GMM) regression is used as the estimation technique.</div></div><div><h3>Results</h3><div>The study finds that, in both the short-and long-run periods, while all the mental health disorders have negative significant effects on economic growth, the effect of labour productivity on economic growth is positive and significant. However, the interactions of each of the mental health disorders with labour productivity are found to have negative significant effects on economic growth in both the short-and long-run periods.</div></div><div><h3>Conclusion</h3><div>There is therefore the need to enhance awareness about mental health disorders as well as access to effective and quality mental healthcare to reduce the associated enormous economic losses.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 221-230"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning, irrigation enhancement, and agricultural economics for ensuring food security in emerging economies","authors":"Aktam U. Burkhanov ,&nbsp;Elena G. Popkova ,&nbsp;Diana R. Galoyan ,&nbsp;Tatul M. Mkrtchyan ,&nbsp;Bruno S. Sergi","doi":"10.1016/j.glt.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.glt.2024.06.002","url":null,"abstract":"<div><p>This paper delves into the critical issues of individual health, environmental health, and public health, which are all interconnected in the complex web of food security in emerging countries. Leveraging data from the top 10 countries with the lowest climate index values according to the Numbeo ranking, this article introduces a groundbreaking deep learning algorithm. This algorithm has the potential to revolutionize agricultural productivity and food security in the face of climate change, filling the gap in research on deep learning in agriculture. By enabling intelligent management, this algorithm could boost yields in agriculture, rendering it less dependent on climatic factors and ensuring the effectiveness of digital modernization. Furthermore, we explore the promising benefits of restoring ancient irrigation systems to elevate productivity levels. Our study provides definitive insights into deep learning techniques for yield prediction and productivity enhancement, offering a beacon of hope for the future of food security in emerging economies.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 164-172"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000094/pdfft?md5=9d9a935a60f9a7e128fe522ac6fc1fc3&pid=1-s2.0-S2589791824000094-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141485060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From emissions to emotions: Exploring the impact of climate change on happiness across 140 countries","authors":"Jeremy Ko ,&nbsp;Chun Kai Leung ,&nbsp;Xiaoxian Chen ,&nbsp;David A. Palmer","doi":"10.1016/j.glt.2024.10.005","DOIUrl":"10.1016/j.glt.2024.10.005","url":null,"abstract":"<div><div>This study examines the relationship between climate change and happiness using panel data from 140 countries between 2008 and 2020. We investigate whether greenhouse gas (GHG) emissions—specifically carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O)—influence subjective well-being, while controlling for socio-economic factors such as GDP per capita, child mortality, and inequality. The analysis reveals that while emissions have limited direct effects on happiness, economic development and public health remain critical drivers of well-being. Notably, developed countries show a negative association between emissions and happiness, highlighting growing environmental concerns, whereas economic growth plays a dominant role in shaping happiness in developing countries. Robustness checks, including two-stage least squares (2SLS) regression and panel-corrected standard errors (PCSE), confirm the stability of the findings. These results suggest that climate policies should align with economic and social priorities to enhance well-being. We recommend adopting context-specific strategies—such as sustainable development and adaptation measures—that account for regional differences in environmental impacts. This study contributes to the growing literature on the climate-happiness nexus and provides valuable insights for policymakers striving to balance climate action with societal well-being.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 231-240"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ambient ozone and mortality from respiratory diseases: A nationwide analysis in China","authors":"Weiling Tang ,&nbsp;Min Yu ,&nbsp;Guoxia Bai ,&nbsp;Chunliang Zhou ,&nbsp;Ruilin Meng ,&nbsp;Biao Huang ,&nbsp;Weiwei Gong ,&nbsp;Zhulin Hou ,&nbsp;Jianxiong Hu ,&nbsp;Guanhao He ,&nbsp;Lifeng Lin ,&nbsp;Yanfang Guo ,&nbsp;Juanjuan Zhang ,&nbsp;Qijiong Zhu ,&nbsp;Zhiqing Chen ,&nbsp;Siwen Yu ,&nbsp;Yuan Zheng ,&nbsp;Yayi Li ,&nbsp;Jiahong Xu ,&nbsp;Xiaofeng Liang ,&nbsp;Tao Liu","doi":"10.1016/j.glt.2024.05.001","DOIUrl":"https://doi.org/10.1016/j.glt.2024.05.001","url":null,"abstract":"<div><h3>Background</h3><p>Although the health impacts of ambient ozone (O₃) have been widely assessed, studies simultaneously investigating the acute and chronic effects of O₃ on mortality from respiratory diseases (RESP) are scarce.</p></div><div><h3>Methods</h3><p>We extracted personal information of all recorded deaths from RESP throughout 2013–2018 in six provinces in China. The daily, seasonal, and annual mean air pollutant concentrations at the township/subdistrict level were estimated by a random forest model. The acute association between the maximum daily average 8h ozone (MDA8 O₃) and RESP mortality was examined by a time-stratified case-crossover study design, and the chronic association was estimated by a difference-in-differences (DID) analysis approach. We also calculated the attributable fraction (AF) of RESP mortality attributable to MDA8 O₃.</p></div><div><h3>Results</h3><p>There were 1,034,226 RESP deaths included in this study. The excess risks (ERs) of overall RESP mortality for each 10 μg/m³ increase in short-term (lag03 days) and long-term (one-year average) exposure to MDA8 O₃ were 0.38 % (95%CI: 0.26 %, 0.50 %) and 4.37 % (3.91 %, 4.84 %), respectively. The AFs of overall RESP mortality ascribed to short- and long-term MDA8 O₃ exposures were 3.00 % (2.03 %, 3.95 %) and 29.45 % (26.86 %, 31.95 %), respectively. The average annual number of RESP deaths attributable to short-term MDA8 O₃ exposure was 30,790 and 302,254 were attributable to long-term MDA8 O₃ exposure across China during 2013–2018.</p></div><div><h3>Conclusion</h3><p>Both short- and long-term exposure to ambient MDA8 O₃ were positively associated with RESP mortality, and long-term exposure to MDA8 O₃ may lead to a greater RESP mortality burden than short-term exposure to MDA8 O₃.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"6 ","pages":"Pages 113-122"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791824000057/pdfft?md5=a83203651975d723284006e710d98413&pid=1-s2.0-S2589791824000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141072662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}