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Analyses of the structural equation model with affecting lifestyle behaviors for the physiological sub-health status of medical students
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Jie-sen SHANG, Huai-zhi CHENG, Dong-quan CHEN, Ruo-tong TIAN, Ling-xiao GAO, Bin GUO
Modern Preventive Medicine | 2024, 51(8) : 1479 - 1485
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Modern Preventive Medicine | 2024, 51(8): 1479-1485
Health and Social Behavior
Analyses of the structural equation model with affecting lifestyle behaviors for the physiological sub-health status of medical students
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Jie-sen SHANG, Huai-zhi CHENG, Dong-quan CHEN, Ruo-tong TIAN, Ling-xiao GAO, Bin GUO
Affiliations
  • Daqing Campus of Harbin Medical University, Daqing, Heilongjiang 163319, China
Published: 2024-04-25 doi: 10.20043/j.cnki.MPM.202310345
Outline
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Objective

To understand the impact and pathways of lifestyle behaviors on physiological sub-health of medical students, and to provide a basis for health management and health education in universities.

Methods

Under the use of stratified whole cluster random sampling method, 3 100 medical students from a medical university were selected as the study subjects, general situation questionnaire, lifestyle factor questionnaire and Sub-Health Measurement Scale Version 1.0 (SHMS V1.0) were used for questionnaire survey. Chi-square test, exploratory factor analysis and structural equation model were used for statistical analysis and path construction.

Results

The total detection rate of medical students’ sub-health status was 62.2%. There were significant differences in the distribution of drinking (χ2=12.245,P<0.001), activity(Frequency of exercise(χ2=46.115, P<0.001);Frequency of activities between classes(χ2=7.179,P=0.028);Leisure promotes health(χ2=60.789,P<0.001)), dietary habits (Frequency of takeout orders(χ2=8.912, P=0.012);Frequency of consumption of sugar-sweetened beverages(χ2=23.437,P<0.001);Bad eating habits(χ2=82.863,P<0.001))and mobile phone and computer usage(Time spent on mobile phones and computers(χ2=12.350, P=0.002); Short video viewing time(χ2=9.291,P=0.026)) among medical students with different physiological health states. The direct effect of activity on physiological sub-health of medical students was 0.26(95% CI:0.137-0.366). The direct effect of dietary habits on physiological sub-health of medical students was -0.171 (95% CI:-0.233--0.035), and the indirect effect was -0.04(95% CI:-0.085--0.015). The indirect effect of mobile phone and computer usage on physiological sub-health of medical students was -0.043 (95% CI: -0.087--0.017).

Conclusion

The overall detection rate of sub-health status among medical students is relatively high. Physical activity is a significant influencing factor in the physiological sub-health status of medical students and serves as a mediator between dietary habits and mobile phone and computer usage with respect to the physiological sub-health status of medical students.

Medical students  /  Lifestyle behaviors  /  Physiological sub-health  /  Influencing  /  Structural equation model
Jie-sen SHANG, Huai-zhi CHENG, Dong-quan CHEN, Ruo-tong TIAN, Ling-xiao GAO, Bin GUO. Analyses of the structural equation model with affecting lifestyle behaviors for the physiological sub-health status of medical students[J]. Modern Preventive Medicine, 2024 , 51 (8) : 1479 -1485 . DOI: 10.20043/j.cnki.MPM.202310345
Year 2024 volume 51 Issue 8
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doi: 10.20043/j.cnki.MPM.202310345
  • Receive Date:2023-10-31
  • Online Date:2026-03-16
  • Published:2024-04-25
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  • Received:2023-10-31
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    Daqing Campus of Harbin Medical University, Daqing, Heilongjiang 163319, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
species
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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