ON THE JOB INJURY IN SOUTH TEXAS MIDDLE SCHOOL CHILDREN

描述：(改编自《调查者摘要》)有关工作的数据 儿童和青少年的经历很少。初步 然而，有证据表明，非常年轻的工人--特别是穷人， 少数族裔青年--可能面临与工作有关的不利影响的风险，包括 工伤事故。以前分析的1995年与工作有关的数据，包括 来自较老的南方的患病率、伤害和社会/心理/身体健康数据 德克萨斯州的年轻人揭示了每周工作几个小时和 与工作有关的伤害，以及紧张工作的其他负面影响。这个 这项拟议的为期一年的试点研究的目的是分析1995年与工作有关的 来自南得克萨斯州7420名中学生的数据显示，很大一部分人 他们是低收入的西班牙裔青年。试点的总体目标是 利用成果确定优先顺序并开展预防工作，以减少 对于非常年轻的员工来说，这会产生负面影响。具体目标包括 以下内容：(1)确定中等职业人群的就业率 学童；(2)描述#年工伤发生率 (3)描述中学生的人口学特征 参加劳动大军、反映工作情况的中学生 伤害；(4)描述与工作有关的生活质量问题和 工伤；(5)确定环境因素(即每周 工作时间、工作类型)和行为因素(即药物使用、睡眠 模式)与工伤有关。 描述性统计、方差分析，以及更详细的 将使用统计建模来解决这些目标中的每一个，并 回答将识别高危亚群的特定先验假设 需要干预的青春期工人。结果将与 那些回答相同问卷的高中生。 最后，调查人员将仔细审查结果，以便 考虑一系列适当的干预措施以供今后审议， 实施和评估。

DESCRIPTION: (Adapted from the Investigator's Abstract) Data on the work experiences of children and early-adolescents are scarce. Preliminary evidence suggests, however, that very young workers - especially poor, minority youth - may be at risk for adverse work-related effects, including on-the-job injuries. Previously-analyzed 1995 work-related data, including prevalence, injury, and social/mental/physical health data, from older South Texas youth revealed a dose-response effect between hours of weekly work and work-related injury, as well as other negative effects of intense work. The intent of this proposed one-year pilot study is to analyze 1995 work-related data from 7,420 South Texas middle school students, a large proportion of whom are low-income, Hispanic youth. The overall goal of the pilot is to utilize results to prioritize and develop prevention efforts to reduce negative outcomes in very young workers. Specific aims include the following: (1) to determine the prevalence of employment among middle school youth; (2) to describe the prevalence of work-related injury in middle school students; (3) to describe the demographic characteristics of middle school students who are in the work force and who report work-related injuries; (4) to describe quality of life issues associated with working and work-related injuries; (5) to determine environmental factors (i.e., weekly work hours, type of job) and behavioral factors (i.e., substance use, sleep patterns) associated with work-related injuries. Descriptive statistics, analysis of variances, and more elaborate statistical modeling will be used to address each of these aims and to answer specific a priori hypotheses that will identify high-risk subgroups of adolescent workers in need of interventions. Results will be compared to those of high school students who responded to the same questionnaire. Finally, the investigators will carefully review results in order to consider a range of appropriate interventions for future consideration, implementation, and evaluation.