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Latent profile analysis of job demands-resources and their association with turnover intention among village doctorsin,Shandong
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Ling-ting WANG1, 2, Xue-ying DONG3, Hong-bin GAO4, Yang DU2, Yi-qun LIU3, Jia-qi ZHANG1, Ke-yu SONG1, Guo-wen WANG5, 6, Wen LIU7
Modern Preventive Medicine | 2026, 53(10) : 1803 - 1808
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Modern Preventive Medicine | 2026, 53(10): 1803-1808
• Primary Health Services •
Latent profile analysis of job demands-resources and their association with turnover intention among village doctorsin,Shandong
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Ling-ting WANG1, 2, Xue-ying DONG3, Hong-bin GAO4, Yang DU2, Yi-qun LIU3, Jia-qi ZHANG1, Ke-yu SONG1, Guo-wen WANG5, 6, Wen LIU7
Affiliations
  • School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
Published: 2026-05-25 doi: 10.20043/j.cnki.MPM.202601259
Outline
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Objective

To identify the latent profiles of job demands-resources among village doctors and their association with turnover intention, and to provide references for reducing the risk of village doctors’ departure.

Methods

A questionnaire survey was conducted among village doctors in 16 prefecture-level cities of Shandong Province using a general information form, job demands scale, job resources scale, and turnover intention scale. Latent profile analysis was employed to identify latent profiles of job demands and resources, while multiple linear regression analysis explored the association between different latent profiles and turnover intention.

Results

A total of 2 404 village doctors were included. Five latent profiles were identified: high-risk burnout profile (5.17%), imbalance risk profile (22.98%), low-strain abundant profile (13.37%), high-strain active profile (16.68%), and moderate balanced profile (41.80%). Differences across these categories in terms of gender, age, and employment type were statistically significant (P<0.05). High-risk burnout profile and imbalance risk profile were risk factors for turnover intention (β=0.218, P<0.001; β=0.199, P<0.001), while low-strain abundant profile and high-strain active profile were protective factors for turnover intention (β=-0.292, P<0.001; β=-0.067, P<0.001).

Conclusion

Significant heterogeneity exists in turnover intention among village doctors across different latent profiles of job demands-resources. Priority should be given to interventions targeting the high-risk burnout profile and the imbalance risk profile, while efforts should focus on stabilizing and maintaining the low-strain abundant profile and the moderate balanced profile, and providing developmental support for the high-strain active profile.

Village doctors  /  Job demands-resources  /  Turnover intention  /  Latent profile analysis
王灵婷, 董雪莹, 高宏彬, 杜杨, 刘逸群, 张佳琪, 宋科瑜, 王国文, 刘稳. 山东省乡村医生工作要求-资源特征潜在剖面分析及与离职倾向的关系. 现代预防医学, 2026 , 53 (10) : 1803 -1808 . DOI: 10.20043/j.cnki.MPM.202601259
Ling-ting WANG, Xue-ying DONG, Hong-bin GAO, Yang DU, Yi-qun LIU, Jia-qi ZHANG, Ke-yu SONG, Guo-wen WANG, Wen LIU. Latent profile analysis of job demands-resources and their association with turnover intention among village doctorsin,Shandong[J]. Modern Preventive Medicine, 2026 , 53 (10) : 1803 -1808 . DOI: 10.20043/j.cnki.MPM.202601259
Year 2026 volume 53 Issue 10
37
20
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Article Info
doi: 10.20043/j.cnki.MPM.202601259
  • Receive Date:2026-01-15
  • Online Date:2026-11-02
  • Published:2026-05-25
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  • Received:2026-01-15
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    School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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