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Analysis of latent profile of depressive symptoms and influencing factors of food delivery rider
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Han WANG, Xiao-song YANG, Fei YANG, Yuan-feng LI, Qi PENG
Modern Preventive Medicine | 2026, 53(2) : 245 - 251
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Modern Preventive Medicine | 2026, 53(2): 245-251
• Environmental and Occupational Health •
Analysis of latent profile of depressive symptoms and influencing factors of food delivery rider
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Han WANG, Xiao-song YANG, Fei YANG, Yuan-feng LI, Qi PENG
Affiliations
  • Occupational Disease Prevention and Control Department, Chengdu Center for Disease Control and Prevention(Chengdu Institute of Health Supervision), Chengdu, Sichuan 610041, China
Published: 2026-01-25 doi: 10.20043/j.cnki.MPM.202503387
Outline
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Objective

To explore the latent categories of depressive symptoms among food delivery riders and analyze the influencing factors of different categories.

Methods

Participants were selected through cluster randomized sampling from six food delivery service providers in Chengdu. Data were collected using a general information questionnaire, the Patient Health Questionnaire (PHQ), and the Core Occupational Stress Scale. Latent profile analysis (LPA) was employed to classify depressive symptoms, and multinomial logistic regression was conducted to identify associated risk factors.

Results

Among the 560 food delivery riders, the depressive symptoms were divided into three latent categories: the no-depression-risk group (28.21%), the low-risk group of emotional depression (61.43%), and the high-risk group of emotional depression with medium-risk of cognitive depression (10.36%). Divorce was a risk factor for high-risk emotional depression-medium-risk cognitive depression (OR=2.22, 95% CI: 1.58-3.12); undergraduate degree or above was a risk factor for high-risk emotional depression-medium-risk cognitive depression (OR=3.17, 95% CI: 2.70-3.71); long working hours were a risk factor for depression (OR=2.70, 95% CI: 2.17-3.36); and social support was a protective factor for depression (OR=0.83, 95% CI: 0.76-0.91).

Conclusion

Timely and effective intervention measures should be formulated for different latent categories to relieve the depressive emotions of food delivery riders.

Food delivery riders  /  Depressive symptoms  /  Latent profile analysis  /  Influencing factors
王涵, 杨晓松, 杨非, 李元锋, 彭琦. 外卖骑手抑郁症状潜在剖面分析及其影响因素研究. 现代预防医学, 2026 , 53 (2) : 245 -251 . DOI: 10.20043/j.cnki.MPM.202503387
Han WANG, Xiao-song YANG, Fei YANG, Yuan-feng LI, Qi PENG. Analysis of latent profile of depressive symptoms and influencing factors of food delivery rider[J]. Modern Preventive Medicine, 2026 , 53 (2) : 245 -251 . DOI: 10.20043/j.cnki.MPM.202503387
Year 2026 volume 53 Issue 2
15
8
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Article Info
doi: 10.20043/j.cnki.MPM.202503387
  • Receive Date:2025-03-20
  • Online Date:2026-11-02
  • Published:2026-01-25
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  • Received:2025-03-20
Affiliations
    Occupational Disease Prevention and Control Department, Chengdu Center for Disease Control and Prevention(Chengdu Institute of Health Supervision), Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
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Family
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Number of
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Number of
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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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