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Construction and validation of a prediction model for high-risk sexual behavior among people aged 50 and above in rural areas
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Li MA1, Fan-bo ZHANG3, Xian-jun MAO1, Dan TAN1, Feng-ling DAI1, Song FAN4, Yan-hua CHEN1, 2
Modern Preventive Medicine | 2025, 52(12) : 2265 - 2271
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Modern Preventive Medicine | 2025, 52(12): 2265-2271
Disease Control and Prevention
Construction and validation of a prediction model for high-risk sexual behavior among people aged 50 and above in rural areas
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Li MA1, Fan-bo ZHANG3, Xian-jun MAO1, Dan TAN1, Feng-ling DAI1, Song FAN4, Yan-hua CHEN1, 2
Affiliations
  • School of Nursing, Southwest Medical University, Luzhou, Sichuan 646000, China
Published: 2025-06-25 doi: 10.20043/j.cnki.MPM.202409414
Outline
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Objective

To construct and validate a prediction model for high-risk sexual behaviors among rural residents aged 50 and above, in order to achieve early identification of high-risk groups and provide a scientific basis for the formulation of precise intervention measures.

Methods

From February to April 2024, 50-year-old and above permanent residents were conveniently sampled in rural areas of Luzhou City, Sichuan Province as the modeling group. From May to June, residents of the same age group were selected in rural areas of Liangshan Yi Autonomous Prefecture using the same method as the validation group. LASSO regression was used to screen variables, and then Logistic regression analysis was conducted on the screened variables. Variables with a P value less than 0.05 were used to construct a prediction model, and its predictive performance was evaluated.

Results

The incidence rate of high-risk sexual behavior in this study was 28.52% (154/540).The predictive model included five predictive factors: gender, sexual behavior under the influence of alcohol, history of sexually transmitted disease infection, having a regular sexual partner, and social support, providing a scientific basis for the prediction of high-risk sexual behavior. The area under the ROC curve of the predictive model in the modeling group and the validation group was 0.940(95% CI:0.914-0.965) and 0.971(95% CI:0.951-0.992), respectively. The calibration curves showed good consistency, and the P values of the Hosmer-Lemeshow test were all greater than 0.05.The DCA had high positive yield between 1%-93% and 2%-98%, respectively.

Conclusion

The prediction model based on LASSO-Logistic regression analysis demonstrated good predictive performance and potential for practical application.

Rural  /  Populations aged 50 and above  /  High-risk sexual behavior  /  Predictive model
Li MA, Fan-bo ZHANG, Xian-jun MAO, Dan TAN, Feng-ling DAI, Song FAN, Yan-hua CHEN. Construction and validation of a prediction model for high-risk sexual behavior among people aged 50 and above in rural areas[J]. Modern Preventive Medicine, 2025 , 52 (12) : 2265 -2271 . DOI: 10.20043/j.cnki.MPM.202409414
Year 2025 volume 52 Issue 12
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Article Info
doi: 10.20043/j.cnki.MPM.202409414
  • Receive Date:2024-09-23
  • Online Date:2026-03-19
  • Published:2025-06-25
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  • Received:2024-09-23
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    School of Nursing, Southwest Medical University, Luzhou, Sichuan 646000, 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
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
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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