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.

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.

Three cellulose derivatives were synthesized and used as chiral stationary phases based on silica gel.The effects of adsorbances on the column numbers and stabilities have been investigated.These stationary phases exhibited high chiral recognition for various racemates.At the same time,the on-line curves of polarimeter were obtained by high performance liquid chromatography with polarimeter as on-line detector.