Undergraduates lifestyle and SHS 2023.

BackgroundUniversity students in Saudi Arabia are embracing some of the negative traits of the fast-paced modern lifestyle, typified by unhealthy eating, low physical activity, and poor sleep habits that may increase their risk for poor health. Health and holistic well-being at the population level are among the priorities of the 2030 vision of a vibrant society in the Kingdom of Saudi Arabia. The current study thus aims at determining the prevalence and predictive factors of Suboptimal Health Status (SHS) among university students.MethodsA cross-sectional study was conducted among 9,026 undergraduate students between 31st May and 15th June 2023. The data was collected through an online questionnaire using the Arabic translation of the SHS (ASHSQ-25) and the Simple Lifestyle Indicator Questionnaire (SLIQ). The chi-square test, Canonical Correlation Analysis (CCA), hierarchical multiple regression, and Receiver Operating Characteristic (ROC) were performed to analyze the data using IBM SPSS software (version 25.0) at a significance level of pResultsThe findings showed that 33.7% (3038) of the students were classified as having SHS. The prevalence of SHS was statistically higher among younger and those studying social science discipline, overweight, had poor diets, engaged in low physical activity, and slept ConclusionFindings show that modifiable predictors such as poor sleep quality, higher BMI scores, and poor dietary habits increase SHS risk among university students in Saudi Arabia. Therefore, the findings of this study emphasize the necessity of early interventions that promote healthy lifestyles.背景 沙特阿拉伯的大学生正逐渐受到快节奏现代生活方式的负面影响，具体表现为不健康饮食、身体活动不足与睡眠习惯欠佳，上述因素或可提升其健康状况受损的风险。提升国民整体健康与综合福祉，是沙特阿拉伯王国2030愿景中打造活力社会的核心要务之一。故此本研究旨在明确沙特阿拉伯大学生亚健康状态（Suboptimal Health Status, SHS）的流行率及其预测因素。方法 本研究于2023年5月31日至6月15日期间，面向9026名本科生开展横断面研究。数据通过线上问卷收集，所用问卷包含亚健康状态量表阿拉伯语版（ASHSQ-25）与简易生活方式指标问卷（Simple Lifestyle Indicator Questionnaire, SLIQ）。本研究采用IBM SPSS统计软件（版本25.0），运用卡方检验、典型相关分析（Canonical Correlation Analysis, CCA）、分层多元回归及受试者工作特征曲线（Receiver Operating Characteristic, ROC）对数据进行分析，检验显著性水平设定为p。结果 研究结果显示，33.7%（3038名）的学生被归类为存在亚健康状态。亚健康状态的患病率在年龄较小、就读社会科学学科、超重、存在不良饮食习惯、身体活动不足以及睡眠质量不佳的群体中统计学差异显著更高。结论 研究结果表明，睡眠质量差、体重指数（BMI）得分较高与不良饮食习惯等可干预的预测因素，会提升沙特阿拉伯大学生的亚健康状态风险。因此，本研究结果强调了推广健康生活方式的早期干预措施的必要性。