The prevalence of hyperhomocysteinemia and its influencing factors in the Tibetan population at ultra-high altitude area in Nagqu City,Xizang
10.7652/jdyxb202505024
- VernacularTitle:西藏自治区那曲市超高海拔地区藏族人群HHcy患病现状及其影响因素分析
- Author:
Jianfeng MA
1
;
Biao LIU
1
;
RENQINGLAMU
1
;
DEJIQUZONG
1
;
Hai XIONG
1
Author Information
1. 西藏大学医学院,西藏拉萨 850000
- Publication Type:Journal Article
- Keywords:
Nagqu City;
Tibetan people;
hyperhomocysteinemia(HHcy);
influencing factor
- From:
Journal of Xi'an Jiaotong University(Medical Sciences)
2025;46(5):885-892
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the prevalence of hyperhomocysteincmia(HHcy)in a Tibetan population in Nagqu City and analyze the related influencing factors.Methods From May to June 2020 we recruited 758 hereditary Tibetan residents from Xinji Township,Jiaqiong Township and Seshong Township of Nagqu City as study subjects who met the inclusion criteria using the multi-stage whole cluster random sampling method.Structured questionnaires as well as clinical examinations were conducted.The prevalence of HHcy was analyzed by descriptive statistics,and the effects of different variables on the prevalence of HHcy were assessed using univariate analysis.Multifactorial Logistic regression analysis was made to explore the factors associated with the prevalence of HHcy.The expected value of each influencing factor in predicting the prevalence of HHcy was analyzed using the subject's receiver operating characteristic(ROC)curve.Results The number of HHcy among the 758 Tibetan population included amounted to 515 cases with a prevalence of 67.9％(95％CI:64.6％-71.2％).Gender,hypertension,hyperuricemia,hemoglobin abnormality,LDL-C abnormality,BMI,type of residence and duration of exercise were found to be significantly different between the two groups by univariate analysis(P＜0.05).In the multifactorial Logistic regression analysis,age,hemoglobin abnormality,diastolic blood pressure,hemoglobin volume,heart rate,HDL-C and BMI showed a positive correlation with the prevalence of HHcy,whereas gender,blood glucose abnormality,FBG,ALT,type of residence(rural)and length of exercise showed a negative correlation with the prevalence of HHcy,relative to the non-HHcy patients(P＜0.05).The area under the curve(AUC)of the ROC predictive model for HHcy prevalence was constructed as 0.785(sensitivity 0.701,specificity 0.737),and the risk of HHcy prevalence was predicted by age,sex,DBP,Hb,heart rate,FBG,HDL-C,BMI,type of residence and duration of exercise,with the critical values of age,DBP,Hb,heart rate,FBG,HDL-C being 46.5 years,77.5 mmHg,169.5 g/L,72.5 beats/min,3.65 mmol/L,and 1.66 mmol/L,respectively.For comparison with the ROC curve of the included traditional risk factor HHcy prediction model(AUC of 0.790,sensitivity 0.732,specificity 0.712),the results showed that the predictive ability of the two models was similar(P=0.075).Conclusion The Tibetan population in the three areas of Nagqu City has a high prevalence of HHcy,and a series of targeted measures should be taken to reduce the risk of related diseases.
