Relationship between obesity-related indicators, lipid levels, and POAG and risk factor analysis
10.3980/j.issn.1672-5123.2026.8.20
- VernacularTitle:肥胖相关指标和血脂水平与POAG的关系及危险因素分析
- Author:
Hao WANG
1
;
Peiyu ZHU
1
;
Shu ZHANG
1
Author Information
1. Department of Health Management, the Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou 510100, Guangdong Province, China
- Publication Type:Journal Article
- Keywords:
obesity;
lipid levels;
primary open angle glaucoma;
influencing factors;
predictive performance
- From:
International Eye Science
2026;26(8):1423-1427
- CountryChina
- Language:Chinese
-
Abstract:
AIM: To analyze the relationship between obesity-related indicators, blood lipid levels and primary open angle glaucoma(POAG)and explore its risk factors. METHODS:Patients with POAG treated in the hospital from March 2022 to March 2024 were selected as the POAG group, and healthy people in the same period were selected as the non-POAG group. The obesity related indicators [body mass index(BMI), waist circumference, waist-to-hip ratio], blood lipid levels [serum total cholesterol(TC), triglyceride(TG), high-density lipoprotein(HDL-C), low-density lipoprotein(LDL-C)] and general clinical data of the two groups were compared. The binary Logistic regression analysis was used to analyze the risk factors affecting the occurrence of POAG, and the ROC curve was established to analyze the efficiency of various variables in predicting the occurrence of POAG.RESULTS:A total of 54 POAG patients and 54 non-POAG subjects were included. The POAG group had a mean age of 50.30±5.73 y(29 males, 25 females), and the non-POAG group had a mean age of 50.28±5.72 y(28 males, 26 females).The BMI, intraocular pressure, waist circumference, waist-to-hip ratio, and TG levels in the POAG group were higher than those in the non-POAG group, while the HDL-C level was lower than that in the non-POAG group(all P<0.001). High BMI, high waist circumference, high waist-to-hip ratio, and high TG were identified as risk factors for POAG(all P<0.05), whereas high HDL-C was a protective factor(P<0.05).The AUCs for BMI, waist circumference, waist-to-hip ratio, TG, HDL-C, and the combined prediction were 0.885, 0.873, 0.707, 0.777, 0.664, and 0.974, respectively; the sensitivities were 0.815, 0.833, 0.730, 0.637, 0.663, and 0.944, respectively; and the specificities were 0.852, 0.759, 0.711, 0.789, 0.752, and 0.889, respectively. These results indicate that the combined multi-index prediction had the best performance, with good sensitivity and specificity.CONCLUSION:Obesity-related indicators such as high BMI, high waist circumference, high waist-to-hip ratio, and dyslipidemia(high TG, low HDL-C)are associated risk factors for POAG. The combined multi-index prediction model including BMI, waist circumference, waist-to-hip ratio, TG, and HDL-C demonstrates the best performance in POAG risk assessment, with both high sensitivity and specificity, providing a scientific basis for early clinical screening and intervention.
