Abstract：
BACKGROUND: Thoracic vertebral fractures within homes are pivotal public health concerns due to their associated morbidity and significant healthcare expenditures. This study aims to dissect the intricate epidemiology of these injuries, integrating comprehensive risk factors beyond conventional demographics and location analyses.
METHODS: Utilizing a decade of data (2013-2022) from the National Electronic Injury Surveillance System, this study examines thoracic vertebral fractures across age and gender in household settings. Inclusion criteria targeted specific thoracic spine-related terms, analyzing fractures by location (e.g., kitchen, stairs) and associated products. Data processing employed R programming, with statistical analysis focusing on descriptive statistics and multivariate logistic regression, to identify fracture patterns and assess gender differences in fracture risks through Adjusted Odds Ratios (AORs).
RESULTS: Analysis of 46,371 thoracic vertebral fractures identified stairs as the primary site (26.81%), with subsequent frequent locations being bedrooms (18.52%), living rooms (17.88%), and kitchens (16.29%). Gender-specific risk analysis revealed females had a higher likelihood of fractures on stairs (AOR = 1.24, 95% CI: 1.16-1.37, P < 0.001) and in bedrooms (AOR = 1.13, 95% CI: 1.09-1.54, P < 0.001). The most affected age group was 51-60, showcasing the multifaceted nature of risk factors beyond mere location.
CONCLUSIONS: This study transcends prior insights by detailing the influence of various factors, including socioeconomic status and lifestyle, on fracture risk. It emphasizes the complexity of household fractures, highlighting gender and age as pivotal but not exclusive risk determinants.
CONCLUSIONS: By offering a comprehensive analysis that incorporates a wide array of risk factors, this study advances the understanding of thoracic vertebral fractures in residential environments. It underscores the necessity for targeted preventive measures that are cognizant of the multifactorial nature of these injuries, paving the way for improved safety interventions and public health policies.
METHODS: Utilizing a decade of data (2013-2022) from the National Electronic Injury Surveillance System, this study examines thoracic vertebral fractures across age and gender in household settings. Inclusion criteria targeted specific thoracic spine-related terms, analyzing fractures by location (e.g., kitchen, stairs) and associated products. Data processing employed R programming, with statistical analysis focusing on descriptive statistics and multivariate logistic regression, to identify fracture patterns and assess gender differences in fracture risks through Adjusted Odds Ratios (AORs).
RESULTS: Analysis of 46,371 thoracic vertebral fractures identified stairs as the primary site (26.81%), with subsequent frequent locations being bedrooms (18.52%), living rooms (17.88%), and kitchens (16.29%). Gender-specific risk analysis revealed females had a higher likelihood of fractures on stairs (AOR = 1.24, 95% CI: 1.16-1.37, P < 0.001) and in bedrooms (AOR = 1.13, 95% CI: 1.09-1.54, P < 0.001). The most affected age group was 51-60, showcasing the multifaceted nature of risk factors beyond mere location.
CONCLUSIONS: This study transcends prior insights by detailing the influence of various factors, including socioeconomic status and lifestyle, on fracture risk. It emphasizes the complexity of household fractures, highlighting gender and age as pivotal but not exclusive risk determinants.
CONCLUSIONS: By offering a comprehensive analysis that incorporates a wide array of risk factors, this study advances the understanding of thoracic vertebral fractures in residential environments. It underscores the necessity for targeted preventive measures that are cognizant of the multifactorial nature of these injuries, paving the way for improved safety interventions and public health policies.
摘要：
背景：家庭内的胸椎骨折由于其相关的发病率和大量的医疗保健支出而成为关键的公共卫生问题。这项研究旨在剖析这些伤害的复杂流行病学，整合超越传统人口统计和位置分析的综合风险因素。
方法：利用国家电子伤害监测系统（NEISS）的十年数据（2013-2022），这项研究调查了家庭中不同年龄和性别的胸椎骨折.纳入标准针对特定的胸椎相关术语，按位置分析裂缝(例如，厨房,楼梯)和相关产品。数据处理采用R编程，以描述性统计和多变量逻辑回归为重点的统计分析，以确定骨折模式，并通过调整赔率比（AORs）评估骨折风险的性别差异。
结果：对46,371例胸椎骨折的分析将楼梯确定为主要部位（26.81％），随后的频繁地点是卧室(18.52%)，客厅(17.88%)，和厨房(16.29%)。性别特异性风险分析显示，女性在楼梯上（AOR=1.24，95％CI：1.16-1.37，p<.001）和卧室中（AOR=1.13，95％CI：1.09-1.54，p<.001）骨折的可能性更高。受影响最大的年龄组是51-60岁，显示了危险因素的多面性，而不仅仅是地理位置。
结论：这项研究通过详细说明各种因素的影响，超越了先前的见解，包括社会经济地位和生活方式，骨折风险。它强调了家庭分裂的复杂性，强调性别和年龄是关键但不是唯一的风险决定因素。
结论：通过提供包含多种风险因素的综合分析，这项研究提高了人们对居住环境中胸椎骨折的认识。它强调有必要采取有针对性的预防措施，认识到这些伤害的多因素性质，为改进安全干预措施和公共卫生政策铺平道路。
方法：利用国家电子伤害监测系统（NEISS）的十年数据（2013-2022），这项研究调查了家庭中不同年龄和性别的胸椎骨折.纳入标准针对特定的胸椎相关术语，按位置分析裂缝(例如，厨房,楼梯)和相关产品。数据处理采用R编程，以描述性统计和多变量逻辑回归为重点的统计分析，以确定骨折模式，并通过调整赔率比（AORs）评估骨折风险的性别差异。
结果：对46,371例胸椎骨折的分析将楼梯确定为主要部位（26.81％），随后的频繁地点是卧室(18.52%)，客厅(17.88%)，和厨房(16.29%)。性别特异性风险分析显示，女性在楼梯上（AOR=1.24，95％CI：1.16-1.37，p<.001）和卧室中（AOR=1.13，95％CI：1.09-1.54，p<.001）骨折的可能性更高。受影响最大的年龄组是51-60岁，显示了危险因素的多面性，而不仅仅是地理位置。
结论：这项研究通过详细说明各种因素的影响，超越了先前的见解，包括社会经济地位和生活方式，骨折风险。它强调了家庭分裂的复杂性，强调性别和年龄是关键但不是唯一的风险决定因素。
结论：通过提供包含多种风险因素的综合分析，这项研究提高了人们对居住环境中胸椎骨折的认识。它强调有必要采取有针对性的预防措施，认识到这些伤害的多因素性质，为改进安全干预措施和公共卫生政策铺平道路。
