Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries among children and adolescents in China: a time-stratified case-crossover study

Hao Zheng, Jian Cheng, Hung Chak Ho, Baoli Zhu, Zhen Ding, Wencong Du, Xin Wang, Yang Yu, Juan Fei, Zhiwei Xu, Jinyi Zhou, Jie Yang

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Front. Environ. Sci. Eng. ›› 2023, Vol. 17 ›› Issue (9) : 105. DOI: 10.1007/s11783-023-1705-1
RESEARCH ARTICLE
RESEARCH ARTICLE

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries among children and adolescents in China: a time-stratified case-crossover study

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Highlights

● A study assessing the temperature-injury relationship was conducted among students.

● The maximum risks of injury appeared at moderate temperatures.

● The temperature effect on outdoor falls was greater in older students.

Abstract

Although studies have suggested that non-optimal temperatures may increase the risk of injury, epidemiological studies focusing on the association between temperature and non-fatal injury among children and adolescents are limited. Therefore, we investigated the short-term effect of ambient temperature on non-fatal falls and road traffic injuries (RTIs) among students across Jiangsu Province, China. Meteorological data and records of non-fatal outdoor injuries due to falls and RTIs among students aged 6–17 were collected during 2018–2020. We performed a time-stratified case-crossover analysis with a distributed lag nonlinear model to examine the effect of ambient temperature on the risk of injury. Individual meteorological exposure was estimated based on the address of the selected school. We also performed stratified analyses by sex, age, and area. A total of 57322 and 5455 cases of falls and RTIs were collected, respectively. We observed inverted U-shaped curves for temperature-injury associations, with maximum risk temperatures at 18 °C (48th of daily mean temperature distribution) for falls and 22 °C (67th of daily mean temperature distribution) for RTIs. The corresponding odds ratios (95% confidence intervals) were 2.193 (2.011, 2.391) and 3.038 (1.988, 4.644) for falls and RTIs, respectively. Notably, there was a significant age-dependent trend in which the temperature effect on falls was greater in older students (P-trend < 0.05). This study suggests a significant association between ambient temperature and students’ outdoor falls and RTIs. Our findings may help advance tailored strategies to reduce the incidence of outdoor falls and RTIs in children and adolescents.

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Keywords

Ambient temperature / Fall / Road traffic injury / Student / China

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Hao Zheng, Jian Cheng, Hung Chak Ho, Baoli Zhu, Zhen Ding, Wencong Du, Xin Wang, Yang Yu, Juan Fei, Zhiwei Xu, Jinyi Zhou, Jie Yang. Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries among children and adolescents in China: a time-stratified case-crossover study. Front. Environ. Sci. Eng., 2023, 17(9): 105 https://doi.org/10.1007/s11783-023-1705-1

References

[1]
Abe T, Tokuda Y, Ohde S, Ishimatsu S, Nakamura T, Birrer R B. (2008). The influence of meteorological factors on the occurrence of trauma and motor vehicle collisions in Tokyo. Emergency Medicine Journal, 25(11): 769–772
CrossRef Google scholar
[2]
Adam-Poupart A, Smargiassi A, Busque M A, Duguay P, Fournier M, Zayed J, Labrèche F. (2015). Effect of summer outdoor temperatures on work-related injuries in Quebec (Canada). Occupational and Environmental Medicine, 72(5): 338–345
CrossRef Google scholar
[3]
Altman D G, Bland J M. (2003). Interaction revisited: the difference between two estimates. BMJ (Clinical Research Ed.), 326(7382): 219
CrossRef Google scholar
[4]
Basagaña X, Escalera-Antezana J P, Dadvand P, Llatje Ò, Barrera-Gómez J, Cunillera J, Medina-Ramón M, Pérez K. (2015). High ambient temperatures and risk of motor vehicle crashes in Catalonia, Spain (2000–2011): a time-series analysis. Environmental Health Perspectives, 123(12): 1309–1316
CrossRef Google scholar
[5]
Basagaña X, Sartini C, Barrera-Gómez J, Dadvand P, Cunillera J, Ostro B, Sunyer J, Medina-Ramón M. (2011). Heat waves and cause-specific mortality at all ages. Epidemiology (Cambridge, Mass.), 22(6): 765–772
CrossRef Google scholar
[6]
Cheshire W P Jr. (2016). Thermoregulatory disorders and illness related to heat and cold stress. Autonomic Neuroscience, 196: 91–104
CrossRef Google scholar
[7]
Cools M, Moons E, Wets G. (2010). Assessing the impact of weather on traffic intensity. Weather, Climate, and Society, 2(1): 60–68
CrossRef Google scholar
[8]
Du W, Yang J, Zhou J, Wu M. (2017). Study of injury surveillance among students in Jiangsu Province from 2013 to 2015. Jiangsu Journal of Preventive Medicine, 28(02): 153–155 (in Chinese)
CrossRef Google scholar
[9]
Duan L, Ye P, Juanita A H, Jin Y, Wang Y, Er Y, Deng X, Gao X, Ji C, Wang L, Marlena S B, W Cliff M, Caitlin N H, Liu Z, Mari S, Spencer J L, Theo V, Christopher J L M. (2019). The burden of injury in China, 1990–2017: findings from the Global Burden of Disease Study 2017. Lancet. Public Health, 4(9): e449–e461
CrossRef Google scholar
[10]
Gao J, Chen X, Woodward A, Liu X, Wu H, Lu Y, Li L, Liu Q. (2016). The association between meteorological factors and road traffic injuries: a case analysis from Shantou city, China. Scientific Reports, 6(1): 37300
CrossRef Google scholar
[11]
Gasparrini A. (2014). Modeling exposure-lag-response associations with distributed lag non-linear models. Statistics in Medicine, 33(5): 881–899
CrossRef Google scholar
[12]
GBD 2019 Adolescent Transport, Unintentional Injuries Collaborators. (2022). Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019. Lancet Public Health, 7(8): e657–e669
CrossRef Google scholar
[13]
GBD 2019 Diseases, Injuries Collaborators. (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet, 396(10258): 1204–1222
CrossRef Google scholar
[14]
Han L, You D, Gao X, Duan S, Hu G, Wang H, Liu S, Zeng F. (2019). Unintentional injuries and violence among adolescents aged 12–15 years in 68 low-income and middle-income countries: a secondary analysis of data from the Global School-Based Student Health Survey. Lancet Child Adolesc Health, 3(9): 616–626
CrossRef Google scholar
[15]
Hu J, Wen Y, Duan Y, Yan S, Liao Y, Pan H, Zhu J, Yin P, Cheng J, Jiang H. (2020). The impact of extreme heat and heat waves on emergency ambulance dispatches due to external cause in Shenzhen, China. Environmental Pollution, 261: 114156
CrossRef Google scholar
[16]
Hussain N, Mewasingh L, Gosalakkal J (2007). Is the heat wave increasing the number of falls from open windows among children? Archives of Disease in Childhood, 92(1): 90
[17]
Joe L, Hoshiko S, Dobraca D, Jackson R, Smorodinsky S, Smith D, Harnly M. (2016). Mortality during a large-scale heat wave by place, demographic group, internal and external causes of death, and building climate zone. International Journal of Environmental Research and Public Health, 13(3): 299
CrossRef Google scholar
[18]
Kim Y, Kim H, Gasparrini A, Armstrong B, Honda Y, Chung Y, Ng C F S, Tobias A, Iniguez C, Lavigne E. . (2019). Suicide and ambient temperature: a multi-country multi-city study. Environmental Health Perspectives, 127(11): 117007
CrossRef Google scholar
[19]
Lee H, Myung W, Kim H, Lee E M, Kim H. (2020). Association between ambient temperature and injury by intentions and mechanisms: a case-crossover design with a distributed lag nonlinear model. Science of the Total Environment, 746: 141261
CrossRef Google scholar
[20]
Liang M, Ding X, Yao Z, Duan L, Xing X, Sun Y. (2021). Effects of ambient temperature and fall-related injuries in Ma’anshan, Anhui Province, China: a distributed lag nonlinear analysis. Environmental Science and Pollution Research International, 28(41): 58092–58103
CrossRef Google scholar
[21]
Lio C F, Cheong H H, Un C H, Lo I L, Tsai S Y. (2019). The association between meteorological variables and road traffic injuries: a study from Macao. PeerJ, 7: e6438
CrossRef Google scholar
[22]
Ma P, Wang S, Fan X, Li T. (2016). The impacts of air temperature on accidental casualties in Beijing, China. International Journal of Environmental Research and Public Health, 13(11): 1073
CrossRef Google scholar
[23]
Maclure M. (1991). The case-crossover design: a method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2): 144–153
CrossRef Google scholar
[24]
Mann J J. (2013). The serotonergic system in mood disorders and suicidal behaviour. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 368(1615): 20120537
CrossRef Google scholar
[25]
Martínez-Solanas E, Lopez-Ruiz M, Wellenius G A, Gasparrini A, Sunyer J, Benavides F G, Basagana X. (2018). Evaluation of the impact of ambient temperatures on occupational injuries in Spain. Environmental Health Perspectives, 126(6): 067002
CrossRef Google scholar
[26]
Mazaheri M, Clifford S, Jayaratne R, Megat Mokhtar M A, Fuoco F, Buonanno G, Morawska L. (2014). School children’s personal exposure to ultrafine particles in the urban environment. Environmental Science & Technology, 48(1): 113–120
CrossRef Google scholar
[27]
McInnes J A, Akram M, Macfarlane E M, Keegel T, Sim M R, Smith P. (2017). Association between high ambient temperature and acute work-related injury: a case-crossover analysis using workers’ compensation claims data. Scandinavian Journal of Work, Environment & Health, 43(1): 86–94
CrossRef Google scholar
[28]
Morabito M, Cecchi L, Crisci A, Modesti P A, Orlandini S. (2006). Relationship between work-related accidents and hot weather conditions in Tuscany (central Italy). Industrial Health, 44(3): 458–464
CrossRef Google scholar
[29]
Morency P, Voyer C, Burrows S, Goudreau S. (2012). Outdoor falls in an urban context: winter weather impacts and geographical variations. Canadian Journal of Public Health, 103(3): 218–222
CrossRef Google scholar
[30]
Nindl B C, Castellani J W, Warr B J, Sharp M A, Henning P C, Spiering B A, Scofield D E. (2013). Physiological employment standards III: physiological challenges and consequences encountered during international military deployments. European Journal of Applied Physiology, 113(11): 2655–2672
CrossRef Google scholar
[31]
Nofal F H, Saeed A A. (1997). Seasonal variation and weather effects on road traffic accidents in Riyadh city. Public Health, 111(1): 51–55
CrossRef Google scholar
[32]
Pan R, Honda Y, Minakuchi E, Kim S E, Hashizume M, Kim Y. (2022). Ambient temperature and external causes of death in Japan from 1979 to 2015: a time-stratified case-crossover analysis. Environmental Health Perspectives, 130(4): 047004
CrossRef Google scholar
[33]
Parslow R C, Morris K P, Tasker R C, Forsyth R J, Hawley C A. (2005). Epidemiology of traumatic brain injury in children receiving intensive care in the UK. Archives of Disease in Childhood, 90(11): 1182–1187
CrossRef Google scholar
[34]
Patton G C, Sawyer S M, Santelli J S, Ross D A, Afifi R, Allen N B, Arora M, Azzopardi P, Baldwin W, Bonell C. . (2016). Our future: a Lancet commission on adolescent health and wellbeing. Lancet, 387(10036): 2423–2478
CrossRef Google scholar
[35]
Shi J Q, Copas J B (2004). Meta-analysis for trend estimation. Statistics in Medicine, 23(1): 3–19, 3–19
[36]
Stevens J A, Thomas K E, Sogolow E D. (2007). Seasonal patterns of fatal and nonfatal falls among older adults in the U.S. Accident; Analysis and Prevention, 39(6): 1239–1244
CrossRef Google scholar
[37]
WHO (2021a). Falls. Geneva: World Health Organization
[38]
WHO (2021b). Injuries and Violence. Geneva: World Health Organization
[39]
Xu G, Ying Y, Liu Y, Chang W, Ni H, Zhu Y, Xu R, Dong H, Shi N, Ma X. . (2012). Incidences, types, and influencing factors of snow disaster-associated injuries in Ningbo, China, 2008. Disaster Medicine and Public Health Preparedness, 6(4): 363–369
CrossRef Google scholar
[40]
Xu R, Xiong X, Abramson M J, Li S, Guo Y. (2020). Ambient temperature and intentional homicide: a multi-city case-crossover study in the US. Environment International, 143: 105992
CrossRef Google scholar
[41]
Yang J, Du W, Zhou J, Zhang Y, Zhang X, Yang Y, Wu M (2016). Exploration and analysis on network based student injury surveillance system establishment in Jiangsu Province, China. Injury Medicine (Electronic-Edition), 5(02): 10−15 (in Chinese)
[42]
Zhang Z, Dong B, Li S, Chen G, Yang Z, Dong Y, Wang Z, Ma J, Guo Y. (2019). Exposure to ambient particulate matter air pollution, blood pressure and hypertension in children and adolescents: a national cross-sectional study in China. Environment International, 128: 103–108
CrossRef Google scholar
[43]
Zheng H, Xu Z, Wang Q, Ding Z, Zhou L, Xu Y, Su H, Li X, Zhang F, Cheng J. (2021). Long-term exposure to ambient air pollution and obesity in school-aged children and adolescents in Jiangsu Province of China. Environmental Research, 195: 110804
CrossRef Google scholar
[44]
Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, Li X, Wang L, Wang L, Liu Y. . (2019). Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 394(10204): 1145–1158
CrossRef Google scholar

Authorship Contribution Statement

Hao Zheng: Conceptualization, Methodology, Software, Formal analysis, Data curation, Writing - original draft, Writing-review and editing. Jian Cheng: Methodology, Formal analysis, Writing-review and editing. Hung Chak Ho: Writing-review and editing. Baoli Zhu: Writing-review and editing. Zhen Ding: Date curation, Writing-review and editing. Wencong Du: Data curation, Writing-review and editing. Xin Wang: Data curation, Writing-review and editing. Yang Yu: Writing-review and editing. Juan Fei: Writing-review and editing. Zhiwei Xu: Writing-review and editing. Jinyi Zhou: Conceptualization, Project administration, Writing-review and editing. Jie Yang: Conceptualization, Project administration, Validation, Writing-review and editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11783-023-1705-1 and is accessible for authorized users.

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