2026-10-12T13:24:01Z https://www.scidb.cn/oai

10.57760/sciencedb.23728 2026-06-08T09:02:49Z

2026-06-08 Risk Stratification and Early Warning with Personalized Intervention for Hyperlipidemia in Middle-Aged and Older Adults by Integrating Traditional Chinese Medicine Constitution, Lipid Profiles, and Activity Capacity doi:10.57760/sciencedb.23728 en Population aging intensifies hyperlipidemia prevention burdens in middle-aged and older adults. This study develops a three-level risk warning and personalized intervention framework integrating lipid indicators, traditional Chinese medicine constitution scores, and activity capacity using 1,000 health management records. A dual-response strategy identifies phlegm-dampness constitution as informationally independent from lipid levels. Logistic regression and XGBoost reveal total cholesterol and triglycerides as dominant risk drivers, with constitution variables serving as conditional modulators. The population is stratified into low-risk (20.7%), medium-risk (56.9%), and high-risk (22.4%) groups via Youden index and management-proportion thresholds. Three high-risk patterns are identified: phlegm-dampness with multiple lipid abnormalities, low activity capacity, and elevated triglycerides. For 278 phlegm-dampness individuals, an integer programming model under CNY 2,000 budget constraints generates six-month intervention plans. Activity capacity determines intervention efficacy ceilings, with higher-capacity individuals offsetting conditioning costs through increased activity intensity. This study establishes a continuous pathway from risk identification to intervention optimization for community hyperlipidemia screening. Hyperlipidemia; Phlegm-Dampness Constitution; Risk Stratification and Early Warning; XGBoost; Integer Programming Lou Zongzhi Li Hong Zhang Jing Yang Junhan Li Jie Wu Shangrong Qiu Yue PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank