冠状病毒大流行期间广州白云职业技术学院商学院大学生亚健康状况调查

Y. Liao, Ming-Ming Li, Wanxian Lu, Yan Pan, Jian-Rong Gong, Miaohang Shan
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引用次数: 0

摘要

背景:亚健康状态是介于健康和疾病之间的一种中间状态。目的了解新冠肺炎疫情期间大学生亚健康状况的流行情况,分析其影响因素,为提高大学生健康水平提供基础信息。方法:采用方便抽样法,选取广州白云职业技术学院工商管理学院在校大学生为研究对象。纳入标准为知情同意、自愿参加本次调查的在校大学生。排除标准是患有慢性病或精神障碍的学生。采用一般数据问卷、日常生活方式问卷和SHS量表对大学生进行调查。SHS测量量表由三个分量表组成,涵盖生理(1-14项)、心理(16-27项)和社会(29-37项)维度,共39项。项目15、28、38和39用于对每个维度的健康状况进行总体评估,评分时不考虑。开发了一个常用的5分Likert量表,以纳入积极的项目,包括问题1-3、13-19和26-39,量表得分等于1-5的原始得分;而负面项目包括问题4-12和20-25,其标度分数等于6减去原始分数。对于每个分量表,所有项目得分的总和就是原始得分。原始总分计算为所有3个子量表的原始分数之和。对于任何个体维度,得分越低表示SHS的严重程度越高。对于子量表和整个量表,将原始分数转换为百分位分数进行统计分析。折算分数=(原始分数-理论最低分数)/(理论最高分数-理论最小分数)×100。三个分量表的最高和最低转换分数分别为0和100。在这项研究中,使用所有分量表和整个量表的转换分数进行亚健康分析。基于亚健康测量量表,受试者的健康状况将被评估为疾病状态(得分<54)、SHS(得分54~79)和健康状态。2020年3月6日至16日,通过wjx.cn(一个可供问卷来源使用的在线平台)进行了一项在线调查。共有16163名学生填写了问卷。结果:新冠肺炎疫情期间,大学生亚健康检出率为64.4%,SHS总分为73.356±11.115分,生理SHS总分81.284±11.034分,心理SHS总分68.691±12.559分,社会SHS总分67.242±17.112分。多元线性回归分析显示,在新冠肺炎大流行期间,饮食不规律、每周运动次数较少、每晚睡眠时间较少、晚上11点后更频繁地睡觉、花更多的时间在电子设备上、每次运动时间较少、不吃早餐对大学生SHS分数有显著的负面影响(P<0.05),新冠肺炎疫情期间独生子女对大学生SHS成绩有显著的正向影响(P<0.05)。结论:新冠肺炎疫情期间大学生亚健康检出率较高。新冠肺炎疫情期间,社会和学校应更加关注大学生的健康,并根据影响因素采取针对性行动解决问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of Sub-health Status among College Students in Guangzhou Baiyun Technician College Business during the Coronavirus Pandemic
Background: Sub-health status (SHS) is an intermediate status between health and disease. We aimed to investigate the prevalence of sub-health status among college students during the coronavirus disease (COVID-19) pandemic and analyze its influencing factors in order to provide basic information to increase the health level of college students. Methods: College students were selected as subjects from Guangzhou Baiyun Technician College Business using convenience sampling. The inclusion criteria was informed consent, current college students who voluntarily participated in this survey. Exclusion criteria were students with chronic diseases or mental disorders. General data questionnaire, daily lifestyle questionnaire, and SHS measurement scale were used to survey college students. The SHS measurement scale consists of three subscales covering the physiological (1-14 items), psychological (16-27 items), and social (29-37 items) dimensions, with 39 items in total. The items 15, 28, 38 and 39 were used for the overall evaluation of the health status within each dimension and would not be taken into account for the score rating. A commonly used 5-point Likert scale was developed to incorporate the positive items, including questions 1-3, 13-19, and 26-39 with a scaled score equal to the raw score at 1-5; while negative items including questions 4-12 and 20-25 with a scaled score equal to 6 minus the raw score. For each subscale, the sum of all item scores was the raw score. The total raw score was calculated as the sum of raw scores derived from all 3 sub-scales. For any individual dimension, a lower score indicated higher severity of SHS. For sub-scales and the whole scale, raw scores were converted into percentile scores for statistical analysis. Converted score = (raw score - minimum theoretical score) / (maximum theoretical score – minimum theoretical score) × 100. The highest and lowest converted scores of the three subscales were 0 and 100 respectively. In this study, analysis of sub-health was performed using converted scores for all subscales and the whole scale. Based on the sub-health measurement scale, the health condition of subjects would be assessed as disease status (scored < 54), SHS (scored 54 to 79) and health status. From March 6 to 16, 2020, an online survey was conducted via wjx.cn (an online platform available for questionnaire sources). A total of 16,163 students filled out the questionnaire. Results: During the COVID-19 pandemic, the detected prevalence of sub-health among college students was 64.4%.the total SHS score was 73.356 ± 11.115 points, the physiological SHS score was 81.284 ± 11.034 points, the psychological SHS score was 68.691 ± 12.559 points, and the social SHS score was 67.242 ± 17.112 points. Multiple linear regression analysis showed that eating irregular meals, exercising fewer times per week, sleeping fewer hours per night, sleeping after 11 PM more often, spending more time on electronic devices, exercising for fewer minutes each time, and skipping breakfast had the significant negative impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05), while being the only child had a significant positive impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05). Conclusions: During the COVID-19 pandemic, the detected prevalence of sub-health was high among college students. Society and schools should pay more attention to the health of college students during the COVID-19 pandemic and take pertinence action to solve the problem base on influencing factors.
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