{"title":"大学生运动员健康评分的性别差异","authors":"Jennifer A Bunn, Michael R Jiroutek","doi":"10.58524/002024336800","DOIUrl":null,"url":null,"abstract":"Subjective wellness scores reflect athlete responses to training, fatigue, personal experiences, and recovery, and evidence suggests these scores may differ between athletes based on sex. This study aimed to evaluate the differences in daily wellness scores between sexes in collegiate soccer, swimming, and basketball athletes. Athletes (n = 294, 63% female) completed daily wellness surveys for energy, health status, mood, muscle readiness, sleep quality, sleep duration, stress, diet, and overall wellness. Variables were evaluated on a 5-point Likert scale, except sleep duration, quantified in hours. Repeated measures, mixed linear models, repeated measures, and ordinal logistic models were used to assess sex differences in wellness outcomes. In basketball, females have 0.30 times the odds (95% CI 0.19, 0.48) of males of a worse health status score. For soccer, females have 2.45 times the odds (95% CI 1.32, 4.44) of males with a worse stress wellness score. In swimming, females, on average, slept 0.40 more hours of sleep per night (95% CI 0.02, 0.79) as compared to males. These data suggest that differences in wellness subcomponents are nuanced by sport. This information can be used to provide targeted programming for athletes to improve wellness and reduce stress, which may subsequently enhance mental health, academic performance, and sports performance.","PeriodicalId":476163,"journal":{"name":"Journal of Coaching and Sports Science","volume":"56 18","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sex Differences in Wellness Scores in Collegiate Athletes\",\"authors\":\"Jennifer A Bunn, Michael R Jiroutek\",\"doi\":\"10.58524/002024336800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subjective wellness scores reflect athlete responses to training, fatigue, personal experiences, and recovery, and evidence suggests these scores may differ between athletes based on sex. This study aimed to evaluate the differences in daily wellness scores between sexes in collegiate soccer, swimming, and basketball athletes. Athletes (n = 294, 63% female) completed daily wellness surveys for energy, health status, mood, muscle readiness, sleep quality, sleep duration, stress, diet, and overall wellness. Variables were evaluated on a 5-point Likert scale, except sleep duration, quantified in hours. Repeated measures, mixed linear models, repeated measures, and ordinal logistic models were used to assess sex differences in wellness outcomes. In basketball, females have 0.30 times the odds (95% CI 0.19, 0.48) of males of a worse health status score. For soccer, females have 2.45 times the odds (95% CI 1.32, 4.44) of males with a worse stress wellness score. In swimming, females, on average, slept 0.40 more hours of sleep per night (95% CI 0.02, 0.79) as compared to males. These data suggest that differences in wellness subcomponents are nuanced by sport. This information can be used to provide targeted programming for athletes to improve wellness and reduce stress, which may subsequently enhance mental health, academic performance, and sports performance.\",\"PeriodicalId\":476163,\"journal\":{\"name\":\"Journal of Coaching and Sports Science\",\"volume\":\"56 18\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Coaching and Sports Science\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.58524/002024336800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Coaching and Sports Science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.58524/002024336800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
主观健康评分反映了运动员对训练、疲劳、个人经历和恢复的反应,有证据表明这些评分可能因性别而异。本研究旨在评估大学生足球、游泳和篮球运动员的日常健康评分在性别上的差异。运动员(n = 294,63% 为女性)完成了有关能量、健康状况、情绪、肌肉准备状态、睡眠质量、睡眠时间、压力、饮食和整体健康的日常健康调查。除睡眠时间(以小时为单位)外,其他变量均采用 5 点李克特量表进行评估。采用重复测量、混合线性模型、重复测量和序数逻辑模型来评估健康结果的性别差异。在篮球比赛中,女性健康状况较差的几率是男性的 0.30 倍(95% CI 0.19,0.48)。在足球运动中,女性压力健康状况得分较差的几率是男性的 2.45 倍(95% CI 1.32,4.44)。在游泳项目中,女性平均每晚睡眠时间比男性多 0.40 小时(95% CI 0.02,0.79)。这些数据表明,不同运动的健康子要素之间存在细微差别。这些信息可用于为运动员提供有针对性的计划,以改善健康状况和减轻压力,从而提高心理健康水平、学习成绩和运动表现。
Sex Differences in Wellness Scores in Collegiate Athletes
Subjective wellness scores reflect athlete responses to training, fatigue, personal experiences, and recovery, and evidence suggests these scores may differ between athletes based on sex. This study aimed to evaluate the differences in daily wellness scores between sexes in collegiate soccer, swimming, and basketball athletes. Athletes (n = 294, 63% female) completed daily wellness surveys for energy, health status, mood, muscle readiness, sleep quality, sleep duration, stress, diet, and overall wellness. Variables were evaluated on a 5-point Likert scale, except sleep duration, quantified in hours. Repeated measures, mixed linear models, repeated measures, and ordinal logistic models were used to assess sex differences in wellness outcomes. In basketball, females have 0.30 times the odds (95% CI 0.19, 0.48) of males of a worse health status score. For soccer, females have 2.45 times the odds (95% CI 1.32, 4.44) of males with a worse stress wellness score. In swimming, females, on average, slept 0.40 more hours of sleep per night (95% CI 0.02, 0.79) as compared to males. These data suggest that differences in wellness subcomponents are nuanced by sport. This information can be used to provide targeted programming for athletes to improve wellness and reduce stress, which may subsequently enhance mental health, academic performance, and sports performance.