Analysis of the prevalence and influencing factors of infertility in women of reproductive age in Qinghai Province
10.3760/cma.j.cn101441-20250326-00151
- VernacularTitle:青海省育龄女性不孕症患病率调查及影响因素分析
- Author:
Rui WANG
1
;
Huijun WANG
;
Guiying TAO
;
Lianxun ZHANG
;
Zhengfang XIONG
Author Information
1. 青海省人民医院生殖中心，西宁 810007
- Publication Type:Journal Article
- Keywords:
Infertility;
Women of reproductive age;
Prevalence;
High altitude;
Qinghai Province
- From:
Chinese Journal of Reproduction and Contraception
2025;45(9):932-939
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prevalence of infertility and the factors affecting it in women of reproductive age in Qinghai Province.Methods:From July to December 2024, a multi-stage stratified cluster random sampling approach was used to recruit women aged 20-49 years in 10 districts across 8 cities in Qinghai Province for a questionnaire survey assessing the prevalence of infertility. Univariate and multivariate binary logistic regression analyses were then performed to identify factors associated with infertility in Qinghai Province.Results:A total of 3 925 questionnaires were distributed, with 3 837 valid responses ultimately collected. Preliminary screening identified 581 infertility cases, yielding an infertility rate of approximately 15.1%. Among these, 170 cases were primary infertility and 411 were secondary infertility, accounting for 29.26% and 70.74% of infertility cases, respectively. The highest infertility rate was observed in Yushu City, Yushu Prefecture, at 26.1% (71/272), followed by Chengxi District, Xining City at 25.3% (174/688). The lowest infertility rate was recorded in Delingha City, Haixi Prefecture, at only 2.9% (9/311). Univariate analysis revealed that household registration status ( P<0.001), age ( P=0.016), age at marriage ( P=0.001), highest educational attainment ( P<0.001), per capita annual income ( P=0.001), body mass index (BMI, P=0.005), altitude ( P<0.001), age at menarche ( P=0.011), menstrual regularity ( P<0.001), menstrual cycle ( P=0.001), menstrual duration ( P<0.001), presence of blood clots ( P<0.001),whether the women smoking ( P=0.008), whether the women staying up late ( P=0.022), and whether the husband staying up late ( P<0.001) were independent factors for infertility. Multivariate binary logistic regression analysis revealed that non-agricultural household registration ( OR=1.637, 95% CI: 1.304-2.054, P<0.001), BMI≥24.0 kg/m2 ( OR=1.326, 95% CI: 1.077-1.632, P=0.008), age at menarche >14 years ( OR=1.405, 95% CI: 1.158-1.705, P=0.001), irregular menstrual cycles ( OR=1.512, 95% CI: 1.127-2.029, P=0.006), menstrual cycle <21 d ( OR=1.572, 95% CI: 1.237-1.998, P<0.001), menstrual duration <7 d ( OR=2.080, 95% CI: 1.529-2.831, P<0.001), and smoking ( OR=2.359, 95% CI: 1.056-5.271, P=0.036) were independent risk factors for infertility. Age and altitude were not independent risk factors for infertility in Qinghai Province. Conclusion:The prevalence of infertility in Qinghai Province is approximately 15.1%. Non-agricultural household registration, BMI≥24.0 kg/m2, age at menarche >14 years, irregular menstrual cycles, menstrual cycle <21 d, menstrual duration <7 d, and smoking are factors influencing infertility, while high altitude does not increase the risk of infertility among women in Qinghai Province.
