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Background <p>Physical ailments and mental illness among college students are surging in recent years, which warrants urgent and comprehensive health research.</p> Objective <p>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.</p> Methods <p>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.</p> Results <p>The prevalence risk of allostatic load in non-medical students was significantly higher than that in medical students (18.9% vs. 14.1%, <i>P</i> &lt; 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, <i>P</i> = 0.001), studying for more than 4&#xa0;h per day, especially 6–8&#xa0;h (RR = 0.748, 95%CI 0.657–0.852), exercising for 0.5 to 1&#xa0;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.</p> Conclusion <p>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.</p> Clinical trial registration <p>Not applicable.</p>

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Allostatic load in non-medical and medical college students

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月20日

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  • Liyun Liu,
  • Sen Yang,
  • Xiaoyun Liu,
  • Mingqing Huang,
  • Zhen Pei,
  • Yaxin Wang,
  • Yanqi Wang,
  • Qiong Han,
  • Jialiang Mao,
  • Long Wang

摘要

Background

Physical ailments and mental illness among college students are surging in recent years, which warrants urgent and comprehensive health research.

Objective

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.

Methods

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.

Results

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.

Conclusion

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.

Clinical trial registration

Not applicable.