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Buthelezi MS, Mentz G, Wright CY, Phaswana S, Garland RM, Naidoo RN. Short-term, lagged association of airway inflammation, lung function, and asthma symptom score with PM 2.5 exposure among schoolchildren within a high air pollution region in South Africa. Environ Epidemiol 2024; 8:e354. [PMID: 39483641 PMCID: PMC11527423 DOI: 10.1097/ee9.0000000000000354] [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: 06/03/2024] [Accepted: 10/08/2024] [Indexed: 11/03/2024] Open
Abstract
Background Asthma affects millions of people globally, and high levels of air pollution aggravate asthma occurrence. This study aimed to determine the association between short-term lagged PM2.5 exposure and airway inflammation, lung function, and asthma symptom scores among schoolchildren in communities in the Highveld high-pollution region in South Africa. Methods A cross-sectional study was conducted among schoolchildren aged 9-14 years in six communities in the Highveld region in South Africa, between October 2018 and February 2019. A NIOX 200 instrument was used to measure fractional exhaled nitric oxide (FeNO). Lung function indices (forced expiratory volume in one second [FEV1]; forced vital capacity [FVC] and FEV1/FVC) were collected using spirometry and the percent of predicted of these was based on the reference equations from the Global Lung Initiative, without ethnic correction. These values were further analyzed as binary outcomes following relevant thresholds (lower limits of normal for lung function and a cutoff of 35 ppb for FeNO). Asthma symptoms were used to create the asthma symptom score. Daily averages of PM2.5 data for the nearest monitoring station located in each community, were collected from the South African Air Quality Information System and created short-term 5-day lag PM2.5 concentrations. Additional reported environmental exposures were collected using standardized instruments. Results Of the 706 participating schoolchildren, only 1.13% of the participants had doctor-diagnosed asthma, compared to a prevalence of 6.94% with an asthma symptom score suggestive of asthma. Lag 1 (odds ratio [OR]: 1.01; 95% confidence interval [CI]: 1.00, 1.02, P = 0.039) and 5-day average lagged PM2.5 (OR: 1.02; 95% CI: 0.99, 1.04, P = 0.050) showed increased odds of the FeNO > 35 ppb. Lung function parameters (FEV1 < lower limit of normal [LLN] [OR: 1.02, 95% CI: 1.00, 1.03, P = 0.018], and FEV1/FVC < LLN [OR: 1.01; 95% CI: 1.00, 1.02, P < 0.001]) and asthma symptom score ≥ 2 (OR: 1.02; 95% CI: 1.00, 1.04, P = 0.039) also showed significant associations with lag 2, lag 4 and lag 1 of PM2.5, respectively. Conclusion Lagged PM2.5 exposure was associated with an increased odds of airway inflammation and an increased odds of lung function parameters below the LLN particularly for the later lags, but a significant dose-response relationship across the entire sample was not consistent.
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Affiliation(s)
- Minenhle S. Buthelezi
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Graciela Mentz
- Anesthesiology Department, Medical School, University of Michigan, Ann Arbor, Michigan
| | - Caradee Y. Wright
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
| | - Shumani Phaswana
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Rebecca M. Garland
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
- Smart Places, Council for Scientific and Industrial Research, Pretoria, South Africa
| | - Rajen N. Naidoo
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
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Zimmer AJ, Tsang LY, Jolicoeur G, Tannir B, Batisse E, Pando C, Sadananda G, McKinney J, Ambinintsoa IV, Rabetombosoa RM, Knoblauch AM, Rakotosamimanana N, Chartier R, Diachenko A, Small P, Grandjean Lapierre S. Incidence of cough from acute exposure to fine particulate matter (PM2.5) in Madagascar: A pilot study. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003530. [PMID: 39058715 PMCID: PMC11280240 DOI: 10.1371/journal.pgph.0003530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024]
Abstract
Prolonged exposure to fine particulate matter (PM2.5) is a known risk to respiratory health, causing chronic lung impairment. Yet, the immediate, acute effects of PM2.5 exposure on respiratory symptoms, such as cough, are less understood. This pilot study aims to investigate this relationship using objective PM2.5 and cough monitors. Fifteen participants from rural Madagascar were followed for three days, equipped with an RTI Enhanced Children's MicroPEM PM2.5 sensor and a smartphone with the ResApp Cough Counting Software application. Univariable Generalized Estimating Equation (GEE) models were applied to measure the association between hourly PM2.5 exposure and cough counts. Peaks in both PM2.5 concentration and cough frequency were observed during the day. A 10-fold increase in hourly PM2.5 concentration corresponded to a 39% increase in same-hour cough frequency (incidence rate ratio (IRR) = 1.40; 95% CI: 1.12, 1.74). The strength of this association decreased with a one-hour lag between PM2.5 exposure and cough frequency (IRR = 1.21; 95% CI: 1.01, 1.44) and was not significant with a two-hour lag (IRR = 0.93; 95% CI: 0.71, 1.23). This study demonstrates the feasibility of objective PM2.5 and cough monitoring in remote settings. An association between hourly PM2.5 exposure and cough frequency was detected, suggesting that PM2.5 exposure may have immediate effects on respiratory health. Further investigation is necessary in larger studies to substantiate these findings and understand the broader implications.
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Affiliation(s)
- Alexandra J. Zimmer
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
- McGill International TB Centre, McGill University, Montreal, Canada
| | - Lai Yu Tsang
- Global Health Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Gisèle Jolicoeur
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l’Université de Montreal, Montreal, Canada
| | - Bouchra Tannir
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l’Université de Montreal, Montreal, Canada
| | - Emmanuelle Batisse
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Christine Pando
- Global Health Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Gouri Sadananda
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Jesse McKinney
- Global Health Institute, Stony Brook University, Stony Brook, New York, United States of America
- Centre ValBio Research Station, Ranomafana, Madagascar
| | | | | | - Astrid M. Knoblauch
- Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
- Department of epidemiology and public health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | | | - Ryan Chartier
- RTI International, Research Triangle Park, North Carolina, United States of America
| | - Alina Diachenko
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l’Université de Montreal, Montreal, Canada
| | - Peter Small
- Global Health Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Simon Grandjean Lapierre
- McGill International TB Centre, McGill University, Montreal, Canada
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l’Université de Montreal, Montreal, Canada
- Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
- Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montreal, Canada
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Feng C, Shao Y, Ye T, Cai C, Yin C, Li X, Liu H, Ma H, Yu B, Qin M, Chen Y, Yang Y, Xu W, Zhu Q, Jia P, Yang S. Associations between long-term exposure to PM 2.5 chemical constituents and allergic diseases: evidence from a large cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166755. [PMID: 37659545 DOI: 10.1016/j.scitotenv.2023.166755] [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: 02/06/2023] [Revised: 08/12/2023] [Accepted: 08/30/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Exposure to air pollutants may cause immune responses and further allergic diseases, but existing studies have mostly, if not all, focused on effects of short-term exposure to PM2.5 on allergic diseases. OBJECTIVES We estimated associations of long-term exposure to PM2.5 chemical constituents with allergic disease risks and effect modification. METHODS We used the baseline of a newly established, provincially representative cohort of 51,480 participants in southwest China. The presence of allergic rhinitis, allergic asthma, urticaria, and allergic conjunctivitis was self-reported by following a formed questionnaire in face-to-face interviews. The average concentrations of PM2.5 chemical constituents (NO3-, SO42-, NH4+, organic matter [OM], and black carbon [BC]) over participants' residence were estimated using machine learning models. Logistic regression with double robust estimator and weighted quantile sum regression were used to estimate the effects of PM2.5 chemical constituents on allergic disease risks, as well as relative importance of each PM2.5 chemical constituent. RESULTS Per interquartile range increase in the concentration of all PM2.5 chemical constituents was associated with the elevated risks for allergic asthma (OR = 1.79 [1.41-2.26]), allergic conjunctivitis (1.54 [1.19-2.00]), urticaria (1.36 [1.25-1.48]), and allergic rhinitis (1.18 [1.11-1.26]). NO3- contributed more to risks for allergic asthma (weight = 46.05 %), urticaria (72.29 %), and allergic conjunctivitis (47.65 %), while NH4+ contributed more to allergic rhinitis (78.07 %). OM contributed most to the risks for allergic asthma (30.81 %) and allergic conjunctivitis (31.40 %). BC was also associated with allergic rhinitis, urticaria, and allergic conjunctivitis, only with a considerable weight for urticaria (24.59 %). Joint effects of PM2.5 chemical constituents on risks for allergic rhinitis and urticaria were stronger in minorities and farmers than their counterparts. CONCLUSION Long-term exposure to PM2.5 chemical constituents was associated with the increased allergic disease risks, with NO3- and NH4+ accounting for the largest variance of the associations. Our findings would serve as scientific evidence for developing more explicit strategies of air pollution control.
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Affiliation(s)
- Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ying Shao
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Tingting Ye
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Changwei Cai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chun Yin
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Xiaobo Li
- Respiratory department, Chengdu Seventh People's Hospital, Chengdu, China
| | - Hongyun Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Hua Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Mingfang Qin
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yang Chen
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yongfang Yang
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Wen Xu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Qiuyan Zhu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Hubei Luojia Laboratory, Wuhan, China; School of Public Health, Wuhan University, Wuhan, China.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China.
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Xu Q, Zhou Q, Chen J, Li T, Ma J, Du R, Su M, Li J, Xu M, Sun S, Ma J, Ramanathan M, Zhang Z. The incidence of asthma attributable to temperature variability: An ecological study based on 1990-2019 GBD data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166726. [PMID: 37659541 DOI: 10.1016/j.scitotenv.2023.166726] [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: 06/18/2023] [Revised: 08/22/2023] [Accepted: 08/29/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Asthma, the second leading cause of death from chronic respiratory diseases, is associated with climate change, especially temperature changes. It is currently unclear about the relationship between long-term temperature variability and the incidence of asthma on a global scale. METHODS We used asthma incidence, demographic and socioeconomic data from the Global Burden of Disease (GBD) Results Database, and environmental and geographical statistics from TerraClimate between 1990 and 2019 to determine the association between maximum temperature variability and asthma incidence. We also predicted the incidence of heat-related asthma in the future (2020-2100) under four shared socioeconomic pathways (SSPs: 126, 245, 370, and 585). RESULTS Between 1990 and 2019, the global median incidence of asthma was 402.0 per 100,000 with a higher incidence (median: 1380.3 per 100,000) in children under 10 years old. We found that every 1 °C increase in maximum temperature variability increased the risk of asthma globally by 5.0 %, and the effect was robust for individuals living in high-latitude areas or aged from 50 to 70 years. By 2100, the average incidence of asthma is estimated to be reduced by 95.55 %, 79.32 %, and 40.02 % under the SSP126, SSP245, and SSP370 scenarios, respectively, compared to the SSP585 at latitudes >60°. CONCLUSION Our study provides evidence that maximum temperature variability is associated with asthma incidence. These findings suggest that implementing stricter mitigation and adaptation strategies may be importment in reducing asthma cases caused by climate change.
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Affiliation(s)
- Qingsong Xu
- School of Public Health, Peking University, Beijing, China
| | - Qinfeng Zhou
- School of Public Health, Peking University, Beijing, China
| | - Junjun Chen
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA
| | - Tong Li
- School of Public Health, Peking University, Beijing, China
| | - Junxiong Ma
- School of Public Health, Peking University, Beijing, China
| | - Runming Du
- School of Public Health, Peking University, Beijing, China
| | - Mintao Su
- School of Public Health, Peking University, Beijing, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Ming Xu
- School of Public Health, Peking University, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, China
| | - Jing Ma
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Murugappan Ramanathan
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, USA
| | - Zhenyu Zhang
- School of Public Health, Peking University, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
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Hu Q, Shi X, Wang D, Huang Y, Gao J, Guan H, Ren H, Lin X, Lu Z, Tong S, Yang G, Liu S. Effects of climate and environment on migratory old people with allergic diseases in China: Protocol for a Sanya cohort study. Heliyon 2023; 9:e21949. [PMID: 38045199 PMCID: PMC10692782 DOI: 10.1016/j.heliyon.2023.e21949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 12/05/2023] Open
Abstract
Background Several studies have reported that the mountain climate can alleviate asthma, however, the effect of tropical climate on migratory elderly, especially in people with respiratory or allergic diseases is unknown. Objectives This cohort study aims to explore impact of climate and environmental changes on allergic diseases in migratory old people. Methods In this prospective cohort study, we recruited 750 older migratory people, the majority of whom were homeowners to minimize the risk of loss to follow up. The study's inclusion criteria were elderly individuals had moved from northern China to Sanya and suffered from either asthma or allergic diseases. Prior to participation, these individuals provided informed consent and underwent baseline assessment. Subsequently, they will be followed for three years. A face-to-face interview was conducted to gather information regarding their living environment and habits. Trained investigators administered the questionnaires and performed physical examinations including height, weight, and blood pressure, while a professional respiratory doctor conducted pulmonary function tests. Blood samples were promptly tested routine blood test, liver function, kidney function, glucose, triglyceride, allergens, and inflammatory factors. Climate and environmental data were obtained from Sanya Meteorological Bureau and Ecological Environment Bureau, respectively. We primarily compared the differences of participants with asthma or allergic diseases between northern China and Sanya in southern China by Chi-square test, t-test or Wilcoxon rank-sum test. Findings A total of 750 participants were recruited in this cohort from fourteen communities. All participants were surveyed questionnaires about health and family environment, underwent physical examinations, and collected biological samples for laboratory examinations. Novelty This is the first study to evaluate the effects of tropical climate and environment on elderly migrants from cold regions. This study has important implication for the health tourism and aging health, especially for the elderly migrants who suffered the respiratory and allergic diseases. Furthermore, this cohort study establishes a solid foundation for investigating the influence of environmental changes on elderly migrants with allergic diseases.
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Affiliation(s)
- Qian Hu
- Department of Hospital Infection, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Xiufeng Shi
- Department of Hospital Infection, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Dan Wang
- Department of Science and Education, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Yongzhen Huang
- Department of Hospital Infection, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Jiashi Gao
- Department of Science and Education, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Haidao Guan
- Department of Science and Education, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Han Ren
- Department of Hospital Management, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Xiaoya Lin
- Big Data Center, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Zhaoui Lu
- Department of Pediatric Surgery, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Children Health Advocacy Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Guiyan Yang
- Department of Hospital Management, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
| | - Shijian Liu
- Big Data Center, Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, 572022, China
- Department of Clinical Epidemiology and Biostatistics, Children Health Advocacy Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
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Li Y, Wang P, Shao X, Peng F, Lv D, Du H, Wang Y, Wang X, Wu F, Chen C. Asthma prevalence based on the Baidu index and China's Health Statistical Yearbook from 2011 to 2020 in China. Front Public Health 2023; 11:1221852. [PMID: 37869190 PMCID: PMC10586501 DOI: 10.3389/fpubh.2023.1221852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 09/04/2023] [Indexed: 10/24/2023] Open
Abstract
Background Due to environmental pollution, changes in lifestyle, and advancements in diagnostic technology, the prevalence of asthma has been increasing over the years. Although China has made early efforts in asthma epidemiology and prevention, there is still a lack of unified and comprehensive epidemiological research within the country. The objective of the study is to determine the nationwide prevalence distribution of asthma using the Baidu Index and China's Health Statistical Yearbook. Methods Based on China's Health Statistical Yearbook, we analyzed the gender and age distribution of asthma in China from 2011 to 2020, as well as the length of hospitalization and associated costs. By utilizing the Baidu Index and setting the covering all 31 provinces and autonomous regions in China, we obtained the Baidu Index for the keyword 'asthma'. Heatmaps and growth ratios described the prevalence and growth of asthma in mainland China. Results The average expenditure for discharged asthma (standard deviation) patients was ¥5,870 (808). The average length of stay (standard deviation) was 7.9 (0.38) days. During the period of 2011 to 2020, hospitalization expenses for asthma increased while the length of hospital stay decreased. The proportion of discharged patients who were children under the age of 5 were 25.3% (2011), 19.4% (2012), 16% (2013), 17.9% (2014), 13.9% (2015), 11.3% (2016), 10.2% (2017), 9.4% (2018), 8.1% (2019), and 7.2% (2020), respectively. The prevalence of asthma among boys was higher than girls before the age of 14. In contrast, the proportion of women with asthma was larger than men after the age of 14. During the period from 2011 to 2020, the median [The first quartile (Q1)-the third quartile (Q3)] daily asthma Baidu index in Guangdong, Beijing, Jiangsu, Sichuan, and Zhejiang were 419 (279-476), 328 (258-376), 315 (227-365), 272 (166-313), and 312 (233-362) respectively. Coastal regions showed higher levels of attention toward asthma, indicating a higher incidence rate. Since 2014, there has been a rapid increase in the level of attention toward asthma, with the provinces of Qinghai, Sichuan, and Guangdong experiencing the fastest growth. Conclusion There are regional variations in the prevalence of asthma among different provinces in China, and the overall prevalence of asthma is increasing.
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Affiliation(s)
- Yahui Li
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Ping Wang
- Shandong Academy of Chinese Medicine, Jinan, China
| | - Xuekun Shao
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Fulai Peng
- Shandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China
| | - Danyang Lv
- Shandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China
| | - Haitao Du
- Shandong Academy of Chinese Medicine, Jinan, China
| | - Yi Wang
- Shandong Academy of Chinese Medicine, Jinan, China
| | - Xingchen Wang
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Fengxia Wu
- School of Basic Medical Sciences, Shandong University, Jinan, China
| | - Cai Chen
- Shandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China
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