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Empirical evidence on the effect of internet use on cognitive function in older adults using the PSM-XGBoost framework
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Han ZHANG, Hai-xia JIA, Ying LI, Zhao-fang ZHU
Modern Preventive Medicine | 2026, 53(10) : 1900 - 1906
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Modern Preventive Medicine | 2026, 53(10): 1900-1906
• Health and Social Behavior •
Empirical evidence on the effect of internet use on cognitive function in older adults using the PSM-XGBoost framework
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Han ZHANG, Hai-xia JIA, Ying LI, Zhao-fang ZHU
Affiliations
  • School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2026-05-25 doi: 10.20043/j.cnki.MPM.202510067
Outline
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Objective

To explore the relationship between internet use and cognitive function in older adults, and to evaluate the impact of internet use on the predictive output of cognitive impairment risk.

Methods

Based on data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), propensity score matching (PSM) was used to control for confounding factors and analyze the effect of internet use on cognitive function in older adults. The XGBoost algorithm was employed to construct a risk prediction model for cognitive impairment, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the predictive performance of the model. The SHapley Additive exPlanations (SHAP) method was applied to interpret the XGBoost model.

Results

A total of 3 685 older adults was included in the study. Propensity score matching using nearest neighbor matching, radius matching, and kernel matching showed that the average treatment effects of internet use on cognitive function were 0.564, 0.580, and 0.594, respectively (P<0.001). The XGBoost prediction model incorporating internet use achieved an AUC of 0.781 (95%CI: 0.761-0.799). SHAP analysis revealed that internet use was a key predictive factor for cognitive impairment in older adults.

Conclusion

Internet use has a positive effect on cognitive function in older adults. The XGBoost-based risk prediction model for cognitive impairment demonstrates high discriminative ability and good interpretability, which may assist in early screening and individualized clinical intervention.

Older adults  /  Cognitive function  /  Cognitive impairment  /  Propensity Score Matching  /  Extreme Gradient Boosting
张涵, 贾海霞, 李莹, 朱兆芳. 基于PSM-XGBoost框架的互联网使用对老年人认知功能影响的实证研究. 现代预防医学, 2026 , 53 (10) : 1900 -1906 . DOI: 10.20043/j.cnki.MPM.202510067
Han ZHANG, Hai-xia JIA, Ying LI, Zhao-fang ZHU. Empirical evidence on the effect of internet use on cognitive function in older adults using the PSM-XGBoost framework[J]. Modern Preventive Medicine, 2026 , 53 (10) : 1900 -1906 . DOI: 10.20043/j.cnki.MPM.202510067
Year 2026 volume 53 Issue 10
23
12
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Article Info
doi: 10.20043/j.cnki.MPM.202510067
  • Receive Date:2025-10-10
  • Online Date:2026-11-02
  • Published:2026-05-25
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  • Received:2025-10-10
Affiliations
    School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, 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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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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