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Agam A, Godler Y, Calif E. Child drowning mortality in Israel: Trends and measures for prevention. JOURNAL OF SAFETY RESEARCH 2024; 89:224-233. [PMID: 38858046 DOI: 10.1016/j.jsr.2024.02.002] [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: 08/01/2023] [Revised: 11/01/2023] [Accepted: 02/02/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION In this study, we use the media-based database of Beterem-Safe Kids Israel, to provide a 15-year review of unintentional fatal childhood drowning in Israel, between 2008 and 2022. METHOD It total, we identified 257 cases of child mortality due to drowning during this period. RESULTS Our results demonstrate a gradual rise in childhood mortality due to drowning, from 72 cases in 2008-2012, to 85 cases in 2013-2017, and to 100 cases in 2018-2022. Especially worth noting is the increase in childhood drowning in domestic swimming pools. We point to a link between low socioeconomic status and cases of drowning, showing that the risk of drowning extends beyond a mere matter of caregiver inattention. We recommend a series of regulatory and legislative steps to reduce fatal childhood drowning, including fencing built around domestic swimming pools, extending lifeguard activity hours, adding declared beaches, forming programs of safe behavior in water environments for adolescents, and establishing swimming lessons during the 2nd grade, for all populations. We further recommend that a special focus will be put in municipalities situated at the bottom of the socioeconomic index.
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Affiliation(s)
- Aviad Agam
- Beterem - Safe Kids Israel, HaSivim 30, Petah Tikva, Israel.
| | - Yigal Godler
- Beterem - Safe Kids Israel, HaSivim 30, Petah Tikva, Israel
| | - Elad Calif
- Beterem - Safe Kids Israel, HaSivim 30, Petah Tikva, Israel
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Auger N, Low N, Ayoub A, Chang J, Luu TM. Connection between maternal suicide attempt and chronic morbidity in children. Psychol Med 2023; 53:5091-5098. [PMID: 35837688 PMCID: PMC10476049 DOI: 10.1017/s0033291722002094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/15/2022] [Accepted: 06/17/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Maternal suicide attempts are associated with adverse psychosocial outcomes in children, but the association with chronic morbidity is poorly understood. We examined the relationship between maternal suicide attempt and risk of hospitalization for potentially preventable conditions in offspring. METHODS We analyzed a longitudinal cohort of 1 032 210 children born in Quebec, Canada between 2006 and 2019. The main exposure measure was maternal suicide attempt before or during pregnancy. Outcomes included child hospitalizations for potentially preventable conditions, including infectious diseases, dental caries, atopy, and injury up to 14 years after birth. We used adjusted Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of maternal suicide attempt with risk of hospitalization for these outcomes. RESULTS Compared with no suicide attempt, children whose mothers attempted suicide had an increased risk of hospitalization for infectious diseases (HR 1.11, 95% CI 1.06-1.16), dental caries (HR 1.31, 95% CI 1.15-1.48), and injury (HR 1.16, 95% CI 1.03-1.31). Risk of hospitalization for any of these outcomes was greater if mothers attempted suicide by hanging (HR 1.46, 95% CI 1.22-1.75), had their first attempt between the age of 25 and 34 years (HR 1.27, 95% CI 1.13-1.42), and had 3 or more attempts (HR 1.56, 95% CI 1.27-1.91). Maternal suicide attempts were more strongly associated with child hospitalization before 10 years of age. CONCLUSIONS Children whose mothers have a history of suicide attempt have an elevated risk of hospitalization for potentially preventable conditions.
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Affiliation(s)
- Nathalie Auger
- University of Montreal Hospital Research Centre, Montreal, Quebec, Canada
- Institut national de santé publique du Québec, Montreal, Quebec, Canada
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Nancy Low
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Aimina Ayoub
- University of Montreal Hospital Research Centre, Montreal, Quebec, Canada
- Institut national de santé publique du Québec, Montreal, Quebec, Canada
| | - Jungmin Chang
- University of Montreal Hospital Research Centre, Montreal, Quebec, Canada
- Institut national de santé publique du Québec, Montreal, Quebec, Canada
| | - Thuy Mai Luu
- Department of Pediatrics, Sainte-Justine Hospital Research Centre, University of Montreal, Montreal, Quebec, Canada
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Shi C, Lin X, Huang T, Zhang K, Liu Y, Tian T, Wang P, Chen S, Guo T, Li Z, Liang B, Qin P, Zhang W, Hao Y. The association between wind speed and the risk of injuries among preschool children: New insight from a sentinel-surveillance-based study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159005. [PMID: 36162582 DOI: 10.1016/j.scitotenv.2022.159005] [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: 06/20/2022] [Revised: 09/09/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Injuries among preschool children are an important public health concern worldwide. Significant gaps remain in understanding the potential impact of wind speed on injuries among preschoolers. We aimed to clarify the association and its variation across subgroups to capture the vulnerability features. METHODS Using a case-crossover design and conditional logistic regression model, we compared the exposure to wind speed right before the injury events (case period) with that of control periods to determine the excess rate (ER) of injury on each of 0-3 lag days in Guangzhou, 2016-2020. Results were also stratified by sociodemographic characteristics of patients, basic characteristics of injury events, and clinical features of injuries to identify the most vulnerable subgroups of preschoolers. RESULTS Higher wind speed was significantly associated with an increased risk of injuries among preschoolers on lag 0, reaching an ER of 2.93 % (95 % confidence interval [CI] = 0.87, 5.03), but not on other lag days. The results of the stratified analyses showed that children under 3-year-old (3.41 %; 95 % CI = 0.36, 6.55), boys (3.66 %; 95 % CI = 1.04, 6.35), and non-locally registered children (3.65; 95 % CI = 0.02, 7.40) were more prone to wind-related injuries. Falls (2.67 %; 95 % CI = 0.11, 5.30) were the main cause of wind-related injuries, and taking transportation was the main activity when injuries occurred (13.16 %; 95 % CI = 4.45, 22.60). Additionally, injuries involving buildings/grounds/obstacles (4.69 %; 95 % CI = 1.66, 7.81) and the occurrence of sprain/strain (7.60 %; 95 % CI = 0.64, 15.04) showed a positive association with wind speed. CONCLUSIONS Higher wind speed was associated with a significantly elevated rate of injuries among preschoolers without delayed effects, where children under 3-year-old, boys, and non-locally registered subgroups were more susceptible to wind-related injuries. This study may provide new insights for refining the prevention measures against wind-related injuries among preschoolers.
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Affiliation(s)
- Congxing Shi
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xiao Lin
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tingyuan Huang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Kai Zhang
- Department of Environmental Health Sciences, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Yanan Liu
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tian Tian
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shimin Chen
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tong Guo
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Zhiqiang Li
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Boheng Liang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Pengzhe Qin
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| | - Yuantao Hao
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, 100191, Beijing, China.
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Holm S, Tell K, Karlsson M, Huss F, Pompermaier L, Elmasry M, Löfgren J. Sociodemographic Patterns of Pediatric Patients in Specialized Burn Care in Sweden. PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2022; 10:e4246. [PMID: 35506021 PMCID: PMC9049026 DOI: 10.1097/gox.0000000000004246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
UNLABELLED Trauma is a leading cause of mortality in children. Burns affect children disproportionally. Although burn incidence and mortality are decreasing, differences in the risk depend on socioeconomic status. The present study aimed to investigate the sociodemographic patterns of pediatric patients (0-17 years) managed at the two burn centers in Sweden, Uppsala, and Linköping, between 2010 and 2020. METHOD This retrospective register-based study used hospital records from the two burn centers combined with information from Statistics Sweden plus data regarding number of asylum seekers from the Swedish Migrations Agency. Choropleth maps representing the patients' geographical distribution were created. Information about income levels per geographic area was added. A Wilcoxon signed-rank test was performed to investigate differences in median income levels between the areas where the patients lived, related to Sweden's median income. RESULTS The study included 2455 patients. Most of the children aged below 5 years (76%) and were boys (60%). The mean percentage of total skin area was 4.2%. There was no significant increment or decrease in the incidence of pediatric burns during the study. Most patients with recorded zip codes lived in areas with an income level below the national median (n = 1974, 83%). Children with asylum status were over-represented compared with residents and/or Swedish citizens. CONCLUSIONS In Sweden, most pediatric burns occur in families that live in areas with low-income levels. Pediatric burns affect children with asylum status disproportionally compared with those who are residents in and/or citizens of Sweden. Prevention strategies should be designed and implemented to alleviate this health inequity.
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Affiliation(s)
- Sebastian Holm
- From the Department of Plastic and Maxillofacial Surgery, Uppsala University Hospital, Uppsala, Sweden
| | - Katinka Tell
- Department of Emergency Care and Internal Medicine, Uppsala University Hospital, Uppsala, Sweden
| | - Matilda Karlsson
- Department of Hand Surgery, Plastic Surgery and Burns, Linköping University, Linköping, Sweden
| | - Fredrik Huss
- From the Department of Plastic and Maxillofacial Surgery, Uppsala University Hospital, Uppsala, Sweden
- Department of Surgical Sciences, Plastic Surgery, Uppsala University, Uppsala, Sweden
| | - Laura Pompermaier
- Department of Hand Surgery, Plastic Surgery and Burns, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Moustafa Elmasry
- Department of Hand Surgery, Plastic Surgery and Burns, Linköping University, Linköping, Sweden
| | - Jenny Löfgren
- Department of Molecular Medicine and Surgery, Karolinska Institute, Solna, Sweden
- Department of Reconstructive Surgery, Karolinska University Hospital, Sweden
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Mahboob A, Richmond SA, Harkins JP, Macpherson AK. Childhood unintentional injury: The impact of family income, education level, occupation status, and other measures of socioeconomic status. A systematic review. Paediatr Child Health 2019; 26:e39-e45. [PMID: 33542777 DOI: 10.1093/pch/pxz145] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 08/05/2019] [Indexed: 11/13/2022] Open
Abstract
Introduction Unintentional injuries represent a substantial public health burden among children and adolescents, and previous evidence suggests that there are disparities in injury by socioeconomic status (SES). This paper reports on a systematic review of literature on injury rates among children and adolescents by measures of SES. Methods A systematic literature search was conducted using six electronic databases: MEDLINE, PsycINFO, CINAHL, HealthSTAR, EMBASE, and SportsDiscus. This review considered children ages 19 years and under and publications between 1997 and 2017-representing an update since the last systematic review examined this specific question. Fifty-four articles were summarized based on study and participant descriptions, outcome and exposure, statistical tests used, effect estimates, and overall significance. Results Most articles addressed risk factors across all injury mechanisms; however, some focused particularly on burns/scalds, road traffic injuries, falls/drowning cases, and playground/sports injuries. Other studies reported on specific injury types including traumatic dental injuries, traumatic brain injuries, and fractures. The studies were of moderate quality, with a median of 15.5 (95% confidence interval [CI]: 15.34 to 15.66) out of 19. Thirty-two studies found an inverse association between SES and childhood unintentional injury, three found a positive association while twenty were not significant or failed to report effect measures. Conclusion Given the variability in definition of the exposure (SES) and outcome (injury), the results of this review were mixed; however, the majority of studies supported a relationship between low SES and increased injury risk. Public health practice must consider SES, and other measures of health equity, in childhood injury prevention programming, and policy.
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Affiliation(s)
- Afifa Mahboob
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario
| | - Sarah A Richmond
- Health Promotion, Chronic Disease and Injury Prevention, Public Health Ontario, Toronto, Ontario.,Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario
| | - Joshua P Harkins
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario
| | - Alison K Macpherson
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario
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Wang Z, Chen H, Yu T, Liu S, Hu M. Status of injuries as a public health burden among children and adolescents in China: A systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e17671. [PMID: 31702619 PMCID: PMC6855559 DOI: 10.1097/md.0000000000017671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Injuries among children and adolescents remain a major public health problem in China. In the present study, we undertook a systematic review and meta-analysis of the published literature of epidemiological studies investigating injuries among children and adolescents in China and aimed to describe the status of injury among children and adolescents (aged 0-19 years) in China nationwide. A random-effects meta-analysis model was used to calculate the pooled prevalence of injury with 95% confidence intervals (CIs) across studies. The potential heterogeneity moderators were identified by subgroup and sensitivity analysis. A total of 775,615 children and adolescents were included in this study. Overall, the pooled injury prevalence among children and adolescents aged 0 to 19 years was 23.0% (95% CI 20.0%-27.0%) in studies using 1996 version of injury definition, and 13.0% (95% CI 10.0%-17.0%) in studies using 2004 version of injury definition. Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results. CONCLUSION Our study shows a moderately high injury prevalence among children and adolescents aged 0 to 19 years in China, more prevention policies and programs should be urgently developed to decrease the occurrence of child and adolescent injury.
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Affiliation(s)
- Ziyu Wang
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha
| | - Hui Chen
- Department of Medicine, Betta Pharmaceuticals Co., Ltd., Hangzhou
| | - Taolin Yu
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha
| | - Siyun Liu
- Department of Medical Records, Chongqing General Hospital, Chongqing, China
| | - Ming Hu
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha
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Sever A, Essa-Hadad J, Luder A, Weiss O, Agay-Shay K, Rudolf M. Keeping children safe: a model for predicting families at risk for recurrent childhood injuries. Public Health 2019; 170:10-16. [PMID: 30897384 DOI: 10.1016/j.puhe.2019.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/24/2018] [Accepted: 02/04/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Existing research on recurrent unintentional injury (UI) focuses on the individual child rather than family risks. This study developed a statistical model for identifying families at highest risk, for potential use in targeting public health interventions. STUDY DESIGN A retrospective birth cohort study of hospital and emergency room (ER) medical records of children born in Ziv hospital between 2005 and 2012, attending ER for UI between 2005 and 2015, was conducted. METHODS Using national IDs, we assigned children to mothers and created the family entity. Data were divided into two time periods. Negative binomial regression was used to examine predictive factors in the first period for recurrent child UI in the second period. Sensitivity analyses were conducted to examine the model's robustness. RESULTS Eight predictive factors for child injury (P < 0.05) were found: male gender, the number of UI visits, the number of illness visits, age 36-59 months, birth weight <1500 g, maternal ER visits, siblings' UI visits, and the number of younger siblings. Some predictive factors are documented in the literature; others are novel. Five were significant in all sensitivity analyses. CONCLUSIONS These factors can assist in predicting risk for a child's repeat UI and family's cumulative UI risk. The model may offer a valuable and novel approach to targeting interventions for families at highest risk.
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Affiliation(s)
- A Sever
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8 Safed 1311502, Israel.
| | - J Essa-Hadad
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8 Safed 1311502, Israel.
| | - A Luder
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8 Safed 1311502, Israel; Department of Pediatrics, Ziv Medical Center, Safed, Israel.
| | - O Weiss
- Beterem - Safe Kids, Pitah Tikva, Israel.
| | - K Agay-Shay
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8 Safed 1311502, Israel.
| | - M Rudolf
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8 Safed 1311502, Israel.
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Jiang Y, Zheng H, Zhao T. Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E215. [PMID: 30646540 PMCID: PMC6351904 DOI: 10.3390/ijerph16020215] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 01/03/2019] [Accepted: 01/10/2019] [Indexed: 11/20/2022]
Abstract
Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.
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Affiliation(s)
- Yunyun Jiang
- School of Economics, Peking University, Beijing 100871, China.
| | - Haitao Zheng
- School of Economics and Management, Beihang University, Beijing 100083, China.
| | - Tianhao Zhao
- School of Economics and Management, Beihang University, Beijing 100083, China.
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Sato N, Hagiwara Y, Ishikawa J, Akazawa K. Association of socioeconomic factors and the risk for unintentional injuries among children in Japan: a cross-sectional study. BMJ Open 2018; 8:e021621. [PMID: 30104313 PMCID: PMC6091896 DOI: 10.1136/bmjopen-2018-021621] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES While Japan has socioeconomic issues, such as income inequality, little is known about the association between socioeconomic factors and the risk of unintentional childhood injuries. The purpose of the study was to evaluate the influence of socioeconomic factors on the risk for unintentional injuries among preschool children in Japan. DESIGN Cross-sectional study using data from a web-based questionnaire survey. SETTING Japan (January 2015). PARTICIPANTS 1000 households with preschool children under 6 years of age. OUTCOME MEASURES Multivariate logistic regression was performed to analyse the influence of socioeconomic factors on the incidence of unintentional injuries. RESULTS Overall, 976 households were eligible for the analysis, with 201 households reporting unintentional injuries. The incidence rates for unintentional injury were estimated to be constant across all strata constructed using combinations of socioeconomic factors. The multivariate logistic regression analysis showed no significant differences in socioeconomic factors between households that reported unintentional injuries and those that did not. CONCLUSION The findings of our study demonstrated that unintentional injuries among preschool children occurred at approximately fixed rates, independent of socioeconomic factors. Accordingly, prevention strategies for unintentional injuries that concern socioeconomic disadvantages should be avoided in Japan.
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Affiliation(s)
- Nobuhiro Sato
- Department of Medical Informatics and Statistics, Niigata University Graduate School of Medicine, Niigata, Japan
| | - Yusuke Hagiwara
- Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children’s Medical Center, Tokyo, Japan
| | - Junta Ishikawa
- Department of Medical Informatics and Statistics, Niigata University Graduate School of Medicine, Niigata, Japan
| | - Kohei Akazawa
- Department of Medical Informatics and Statistics, Niigata University Graduate School of Medicine, Niigata, Japan
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Yang J, Siri JG, Remais JV, Cheng Q, Zhang H, Chan KKY, Sun Z, Zhao Y, Cong N, Li X, Zhang W, Bai Y, Bi J, Cai W, Chan EYY, Chen W, Fan W, Fu H, He J, Huang H, Ji JS, Jia P, Jiang X, Kwan MP, Li T, Li X, Liang S, Liang X, Liang L, Liu Q, Lu Y, Luo Y, Ma X, Schwartländer B, Shen Z, Shi P, Su J, Wu T, Yang C, Yin Y, Zhang Q, Zhang Y, Zhang Y, Xu B, Gong P. The Tsinghua-Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China. Lancet 2018; 391:2140-2184. [PMID: 29678340 PMCID: PMC7159272 DOI: 10.1016/s0140-6736(18)30486-0] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 12/05/2017] [Accepted: 12/07/2017] [Indexed: 12/28/2022]
Affiliation(s)
- Jun Yang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - José G Siri
- United Nations University International Institute for Global Health, Kuala Lumpur, Malaysia
| | - Justin V Remais
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Qu Cheng
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Han Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Karen K Y Chan
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zhe Sun
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yuanyuan Zhao
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Na Cong
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Xueyan Li
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Wei Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - Jun Bi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Wenjia Cai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - Emily Y Y Chan
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Wanqing Chen
- National Office for Cancer Prevention and Control, National Central Cancer Registry Cancer Institute/Hospital, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College National Cancer Center, Beijing, China
| | - Weicheng Fan
- Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China
| | - Hua Fu
- Fudan Health Communication Institute, School of Public Health, Fudan University, Shanghai, China
| | - Jianqing He
- China National Engineering Research Center for Human Settlements, Beijing, China
| | - Hong Huang
- Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Kunshan, China; Nicholas School of the Environment, Duke University, Durham, NC, USA; Harvard Center Shanghai, Asia-Pacific Research Center, Harvard Business School, Boston, MA, USA
| | - Peng Jia
- Department of Earth Observation Science, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | | | - Mei-Po Kwan
- Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands
| | - Tianhong Li
- Department of Internal Medicine, Division of Hematology & Oncology, University of California Davis School of Medicine, UC Davis Comprehensive Cancer Center, Sacramento, CA, USA
| | - Xiguang Li
- School of Journalism and Communication, Tsinghua University, Beijing, China
| | - Song Liang
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lu Liang
- Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China; Arkansas Forest Resources Center, University of Arkansas Division of Agriculture, School of Forestry and Natural Resources, University of Arkansas at Monticello, Monticello, AR, USA
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongmei Lu
- Department of Geography, Texas State University, San Marcos, TX, USA
| | - Yong Luo
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China
| | - Xiulian Ma
- Chinese Academy of Governance, Beijing, China
| | | | | | - Peijun Shi
- Joint Center for Global Change Studies (JCGCS), Beijing, China; State Key Laboratory of Earth Surface Processes and Resource Ecology/Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing, China
| | - Jing Su
- School of Medicine, Tsinghua University, Beijing, China
| | - Tinghai Wu
- School of Architecture, Tsinghua University, Beijing, China
| | - Changhong Yang
- Institute for Public Health Information, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yongyuan Yin
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China
| | - Yinping Zhang
- Bureau of Disease Prevention and Control, National Health and Family Planning Commission, Beijing, China
| | - Yong Zhang
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Department of Building Science, Tsinghua University, Beijing, China
| | - Bing Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China.
| | - Peng Gong
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China.
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Features and risk factors of nonfatal injury among the rural children: a survey of seven schools in a mountain area in Southwest China. PLoS One 2014; 9:e102099. [PMID: 25010712 PMCID: PMC4092098 DOI: 10.1371/journal.pone.0102099] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 06/14/2014] [Indexed: 11/24/2022] Open
Abstract
Objective We aimed to investigate the patterns and risk factors of nonfatal injuries among rural mountain-area children in southwest China. Methods A stratified sampling method was used to recruit rural children aged 8 to 17 years (mainly 9–14 years) from 7 schools. Self-reported injuries during the past 12 months and relevant concerns were collected from June to December 2012 by using a structured questionnaire in a class interview. Results The mean age of the 2,854 children was 12.2±1.5 years. The probability of annual injury was 16.7% (95% confidence interval [95% CI] 15.3–18.1%), with slightly higher injury risk for boys than girls (17.7% vs. 16.0%; P>0.05). The top 3 causes of injuries were falls (37.3%), animal-related incidents (20.6%), and burns (14.9%). The main injury risk factors included being involved in a violent episode (odds ratio [OR] 1.34, 95% CI 1.08–1.66, P = 0.007), maltreatment by parents or guardians (1.42, 1.17–1.72, P<0.001), and being from a single-child family (1.30, 1.10–1.66, P = 0.039). Older age was a protective factor (0.81, 0.76–0.87, P<0.001). Conclusions The incidence of nonfatal injury among rural children was high, and falls were the leading cause. Younger children and boys from poor-care and poor-living environments were at increased risk of injury, which requires urgent attention. Injury prevention programs targeting these issues are needed in this mountain area and similar rural regions of China.
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