Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China
Introduction: With rapid increase in the aging population, falls injuries have become an important public health problem. However, limited data have been reported on the associations between meteorological factors and falls injuries in the elderly. This study assessed the epidemiology of falls injur...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402202151X |
| _version_ | 1811247741206003712 |
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| author | Wei-Quan Lin Lin Lin Le-Xin Yuan Le-Le Pan Ting-Yuan Huang Min-Ying Sun Fa-Ju Qin Chang Wang Yao-Hui Li Qin Zhou Di Wu Bo-Heng Liang Guo-Zhen Lin Hui Liu |
| author_facet | Wei-Quan Lin Lin Lin Le-Xin Yuan Le-Le Pan Ting-Yuan Huang Min-Ying Sun Fa-Ju Qin Chang Wang Yao-Hui Li Qin Zhou Di Wu Bo-Heng Liang Guo-Zhen Lin Hui Liu |
| author_sort | Wei-Quan Lin |
| collection | DOAJ |
| description | Introduction: With rapid increase in the aging population, falls injuries have become an important public health problem. However, limited data have been reported on the associations between meteorological factors and falls injuries in the elderly. This study assessed the epidemiology of falls injuries and explored this association in the elderly in Guangzhou, China. Methods: Data on elderly falls injury cases and meteorological variables from 2014 to 2018 in Guangzhou were collected from the Guangzhou Injury Monitoring System and Guangzhou Meteorological Bureau, respectively. The monthly average data on falls injuries and meteorological factors were applied to the data analysis. These correlations were conducted using Pearson correlation analysis. A multiple linear regression model was used to estimate the effects of meteorological factors on falls injuries in the elderly in Guangzhou, China. Results: Accounting for 49.41% of causes of elderly injury were falls in the Guangzhou Injury Monitoring System from 2014 to 2018, which occupied first place for five consecutive years. The monthly number of elderly falls injury cases was lowest in April and highest in December, and had a positive correlation with monthly mean wind speed (r = 0.187, P < 0.01) and a negative correlation with monthly atmospheric pressure (r = -0.142, P < 0.05). A multiple linear regression model was constructed (F = 10.176, P < 0.01), which explained 23.7% of the variances (R2 = 0.237). Monthly mean wind speed (β = 76.85, P < 0.01) and monthly mean atmospheric pressure (β = −3.162, P < 0.01) were independent factors affecting monthly elderly falls injuries. Conclusions: Falls are the primary cause of injury among elderly people in Guangzhou, China. Meteorological factors are related to falls injuries in the elderly population. Decreasing activity during high wind and low atmospheric pressure weather may help reduce the number of elderly falls injury cases. |
| first_indexed | 2024-04-12T15:14:59Z |
| format | Article |
| id | doaj.art-216f13a52f1245de9aa2bbff31f28576 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-12T15:14:59Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-216f13a52f1245de9aa2bbff31f285762022-12-22T03:27:38ZengElsevierHeliyon2405-84402022-10-01810e10863Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, ChinaWei-Quan Lin0Lin Lin1Le-Xin Yuan2Le-Le Pan3Ting-Yuan Huang4Min-Ying Sun5Fa-Ju Qin6Chang Wang7Yao-Hui Li8Qin Zhou9Di Wu10Bo-Heng Liang11Guo-Zhen Lin12Hui Liu13Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China; Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaSchool of Public Health, Guangzhou Medical University, Guangzhou 511436, ChinaBrain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou 510440, ChinaDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Guangdong Province, Guangzhou 511400, ChinaDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China; Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; Department of Prevention and Control of Chronic Noncommunicable Diseases, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, ChinaDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China; Corresponding author.Introduction: With rapid increase in the aging population, falls injuries have become an important public health problem. However, limited data have been reported on the associations between meteorological factors and falls injuries in the elderly. This study assessed the epidemiology of falls injuries and explored this association in the elderly in Guangzhou, China. Methods: Data on elderly falls injury cases and meteorological variables from 2014 to 2018 in Guangzhou were collected from the Guangzhou Injury Monitoring System and Guangzhou Meteorological Bureau, respectively. The monthly average data on falls injuries and meteorological factors were applied to the data analysis. These correlations were conducted using Pearson correlation analysis. A multiple linear regression model was used to estimate the effects of meteorological factors on falls injuries in the elderly in Guangzhou, China. Results: Accounting for 49.41% of causes of elderly injury were falls in the Guangzhou Injury Monitoring System from 2014 to 2018, which occupied first place for five consecutive years. The monthly number of elderly falls injury cases was lowest in April and highest in December, and had a positive correlation with monthly mean wind speed (r = 0.187, P < 0.01) and a negative correlation with monthly atmospheric pressure (r = -0.142, P < 0.05). A multiple linear regression model was constructed (F = 10.176, P < 0.01), which explained 23.7% of the variances (R2 = 0.237). Monthly mean wind speed (β = 76.85, P < 0.01) and monthly mean atmospheric pressure (β = −3.162, P < 0.01) were independent factors affecting monthly elderly falls injuries. Conclusions: Falls are the primary cause of injury among elderly people in Guangzhou, China. Meteorological factors are related to falls injuries in the elderly population. Decreasing activity during high wind and low atmospheric pressure weather may help reduce the number of elderly falls injury cases.http://www.sciencedirect.com/science/article/pii/S240584402202151XElderly falls injuryWind speedAtmospheric pressure |
| spellingShingle | Wei-Quan Lin Lin Lin Le-Xin Yuan Le-Le Pan Ting-Yuan Huang Min-Ying Sun Fa-Ju Qin Chang Wang Yao-Hui Li Qin Zhou Di Wu Bo-Heng Liang Guo-Zhen Lin Hui Liu Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China Heliyon Elderly falls injury Wind speed Atmospheric pressure |
| title | Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China |
| title_full | Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China |
| title_fullStr | Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China |
| title_full_unstemmed | Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China |
| title_short | Association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in Guangzhou, China |
| title_sort | association between meteorological factors and elderly falls in injury surveillance from 2014 to 2018 in guangzhou china |
| topic | Elderly falls injury Wind speed Atmospheric pressure |
| url | http://www.sciencedirect.com/science/article/pii/S240584402202151X |
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