Liu Liyun, Yang Sen, Liu Xiaoyun, Huang Mingqing, Pei Zhen, Wang Yaxin, Wang Yanqi, Han Qiong, Mao Jialiang, Wang Long
Administrative Department of Standardized Training for Resident Doctors, Heping Hospital, Changzhi Medical College, Changzhi, 046000, China.
Department of Osteology, The People's Hospital of Changzhi City, Changzhi, 046000, China.
BMC Public Health. 2025 Feb 20;25(1):699. doi: 10.1186/s12889-025-21944-9.
Physical ailments and mental illness among college students are surging in recent years, which warrants urgent and comprehensive health research.
To investigate whether there is a disparity in allostatic load between medical and non-medical college students, and to identify the influencing factors on allostatic load.
A cross-sectional study involving 8,253 college students was conducted. We used modified Poisson regression analysis of generalized linear models to examine allostatic load between the two groups of students based on biological, psychological, and sociological factors.
The prevalence risk of allostatic load in non-medical students was significantly higher than that in medical students (18.9% vs. 14.1%, P < 0.001). Modified Poisson regression revealed that risk factors like non-medical background (RR = 1.200, 95%CI 1.088-1.324), being female (RR = 1.121, 95%CI 1.004-1.251), history of hospitalization (RR = 1.170, 95%CI 1.053-1.300), alcohol drinking (RR = 1.321, 95%CI 1.034-1.687), total stress (RR = 1.042, 95%CI 1.014-1.070), abnormal illness behavior (RR = 1.106, 95%CI 1.079-1.134), anxiety (RR = 1.214, 95%CI 1.055-1.396), depression (RR = 1.230, 95%CI 1.051-1.440), somatization (RR = 1.319, 95%CI 1.147-1.517), and insomnia (RR = 1.811, 95%CI 1.610-2.036) were positively correlated with allostatic load, while protective factors like originating from the western region (RR = 0.682, 95%CI 0.546-0.851, P = 0.001), studying for more than 4 h per day, especially 6-8 h (RR = 0.748, 95%CI 0.657-0.852), exercising for 0.5 to 1 h (RR = 0.900, 95%CI 0.814-0.995), having a high level of global well-being (RR = 0.930, 95%CI 0.903-0.957), and multi-dimensional health perception (RR = 0.753, 95%CI 0.681-0.833) were negatively correlated with allostatic load.
This study proposes a multidimensional approach to understanding the health of college students. Non-medical and medical students show differences in health perception, behavior, lifestyle, emotional problems, and the social environment, leading to varied allostatic load risks and necessitating tailored health interventions.
Not applicable.
近年来，大学生的身体疾病和精神疾病呈上升趋势，这需要进行紧急和全面的健康研究。
调查医学专业与非医学专业大学生在应激负荷方面是否存在差异，并确定影响应激负荷的因素。
进行了一项涉及8253名大学生的横断面研究。我们使用广义线性模型的修正泊松回归分析，根据生物学、心理学和社会学因素，研究两组学生的应激负荷情况。
非医学专业学生应激负荷的患病风险显著高于医学专业学生（18.9%对14.1%，P<0.001）。修正泊松回归显示，非医学专业背景（RR=1.200，95%CI 1.088-1.324）、女性（RR=1.121，95%CI 1.004-1.251）、住院史（RR=1.170，95%CI 1.053-1.300）、饮酒（RR=1.321，95%CI 1.034-1.687）、总压力（RR=1.042，95%CI 1.014-1.070）、异常疾病行为（RR=1.106，95%CI 1.079-1.134）、焦虑（RR=1.214，95%CI 1.055-1.396）、抑郁（RR=1.230，95%CI 1.051-1.440）、躯体化（RR=1.319，95%CI 1.147-1.517）和失眠（RR=1.811，95%CI 1.610-2.036）等危险因素与应激负荷呈正相关，而来自西部地区（RR=0.682，95%CI 0.546-0.851，P=0.001）、每天学习超过4小时，尤其是6-8小时（RR=0.748，95%CI 0.657-0.852）、锻炼0.5至1小时（RR=0.900，95%CI 0.814-0.995）、具有较高的总体幸福感（RR=0.930，95%CI 0.903-0.957）和多维健康认知（RR=0.753，95%CI 0.681-0.833）等保护因素与应激负荷呈负相关。
本研究提出了一种多维方法来理解大学生的健康状况。非医学专业和医学专业学生在健康认知、行为、生活方式、情绪问题和社会环境方面存在差异，导致不同的应激负荷风险，因此需要量身定制的健康干预措施。
不适用。
