Mahara Gehendra, Liang Jiazhi, Zhang Zhirong, Ge Qi, Zhang Jinxin
Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.
Center for Disease Control and Prevention at Haizhu, Guangzhou, Guangdong, 510288, People's Republic of China.
J Multidiscip Healthc. 2021 May 7;14:1063-1071. doi: 10.2147/JMDH.S302826. eCollection 2021.
Suboptimal health status (SHS) is a state between health and disease, has several adverse effects, although, its main underlying mechanism is still unclear. This study aimed to investigate SHS and its associated factors of adolescents.
A community-based cross-sectional study was conducted in the three different geographic locations of China (Shanxi, Guangzhou, and Tibet). A multidimensional sub-health questionnaire of adolescent (MSQA) is used to evaluate SHS. Independent two-sample K-S test was performed for the quantitative data as the non-parametric test, whereas Chi-square test method was applied to explore the difference of discrete variables data between groups. Then finally, multiple logistic regression analysis was applied to analyze the influential factors of SHS.
Among 1461 respondents (between 15 and 18 years old), females proportion (56.47%) was higher than males (43.53%) where SHS was higher in Shanxi followed by Tibet and then Guangdong. The rural area, grade, lack of sleep time, home visit in a week, lack of exercise, a heavy burden of study, smoking, drinking, and fewer friends were the risk factors of SHS, while families living status, seeking help and extroversion were the protective factors.
SHS is significantly associated with behavior and lifestyle-related factors. For comprehensively prevention and control of the SHS, it is urgently needed to reduce the risk factors and enhance the protective factors among adolescents.
亚健康状态（SHS）是一种介于健康与疾病之间的状态，具有多种不良影响，但其主要潜在机制仍不清楚。本研究旨在调查青少年的亚健康状态及其相关因素。
在中国三个不同地理位置（山西、广州和西藏）开展了一项基于社区的横断面研究。使用青少年多维亚健康问卷（MSQA）评估亚健康状态。对定量数据进行独立两样本K-S检验作为非参数检验，而应用卡方检验方法探讨组间离散变量数据的差异。最后，应用多因素logistic回归分析来分析亚健康状态的影响因素。
在1461名受访者（年龄在15至18岁之间）中，女性比例（56.47%）高于男性（43.53%），其中山西的亚健康率最高，其次是西藏，然后是广东。农村地区、年级、睡眠时间不足、一周内家访次数、缺乏锻炼、学习负担重、吸烟、饮酒以及朋友较少是亚健康状态的危险因素，而家庭生活状况、寻求帮助和外向性是保护因素。
亚健康状态与行为和生活方式相关因素显著相关。为全面防控亚健康状态，迫切需要减少青少年中的危险因素并增强保护因素。
