不同行业22～35岁女职工生育力状况调查与分析OA北大核心CSTPCD

[Background]As the population ages,there has been a growing focus on the decline in fertility.Research has identified age and fertility history as the primary influencing factors.Nevertheless,there is a deficiency in fundamental data regarding the fertility status among different indus-tries. [Objective]To investigate the fertility status and influencing factors among female workers aged 22-35 years in different industries. [Methods]From July 2020 to February 2021,a cross-sectional survey was conducted using a staged sampling approach.This survey specifically targeted 22-35-year-old married female work-ers with a history of pregnancy in industries such as education,healthcare,finance,and telecom-munications,totaling 22903 participants.The survey encompassed industry,demographic char-acteristics,pregnancy history,time to pregnancy(TTP),and other influencing factors.The influ-encing factors of decline in fertility were identified by chi-square test and Cox proportional hazards regression.Subsequent industry-specific Cox proportional hazards regression models were used to compared fertility decline patterns across a spectrum of industries after selected influencing factors were adjusted. [Results]Among the 22903 respondents,19194 valid questionnaires were collected,with a valid recovery rate of 83.8%.The cumulative pregnancy rates(CRP)of 1-6 months and 1-12 months for the 22-35-year-old female workers were 67.23%and 91.33%respectively.The multivariate analysis showed that region,age,education level,personal annual income,housework time,coping style,gravidity,parity,and spontaneous abortion were influencing factors of fertility decline(P<0.05).Female workers with≥3 gravidities and≥2 spontaneous abortions had a higher risk of fertility decline,with hazard ratios(HR)and associated 95%confidence interval(95%CI)of 0.633(0.582,0.688)and 0.785(0.670,0.921)respectively(P<0.01).Compared to the education industry,the healthcare and finance industries showed a higher risk of fertility decline,with HR(95%CI)values of 0.876(0.834,0.920)and 0.909(0.866,0.954),respectively(P<0.05).These two HR(95%CI)values remained statistically significant[0.899(0.852,0.948)and 0.882(0.833,0.934)respectively,P<0.05)]after further adjustment with nine influencing factors such as region and age. [Conclusion]Regions,age,education level,personal annual income,housework time,coping style,pregnancy and childbirth times,and natural abortion times are influencing factors of fertility decline in female workers.Compared to the education industry,the healthcare and finance industries have a higher risk of declining fertility.