Along with the development of Fintech, many scholars have studied how information technology is applied to financial services with a focus on extended methods for application. Few scholars have studied the influence mechanism behind the adoption of Fintech services. This paper proposes an improved technology acceptance model (TAM) that incorporates user innovativeness, government support, brand image, and perceived risk as determinants of trust to investigate how users adopt Fintech services. We designed a questionnaire, sent it to active customers of the Hefei Science and Technology Rural Commercial Bank, and obtained 387 eligible responses. We analyzed the data with a structural equation model (SEM) to test the hypotheses, including the relationships of all latent variables. The results reveal that users’ trust in Fintech services has a very significant influence on users’ attitudes for adoption. In addition, perceived ease of use and perceived risk does not affect users’ attitudes toward the adoption regarding Fintech services. This study contributes to the literature of the adoption of Fintech services by providing a more comprehensive view of the determinants of users’ attitudes by combining trust of Fintech services with TAM.

These results may provide new insights into the pathophysiological mechanisms of early-onset DOR.

Objective: To evaluate fertility intensions among couples in Shanghai under the novel coronavirus infection (COVID-19) pandemic against the backdrop of persistently low fertility. Methods: A cross-sectional study was carried out using data from studies conducted before the COVID-19 pandemic. Data were collected regarding sociodemographic characteristics, history of reproduction and gynecology, fertility intention before and after the COVID-19 pandemic, female psychological state, and the impact of the COVID-19 pandemic on daily life. Results: Under the influence of COVID-19, 296/447 (66.2%) participants did not change their original fertility intention to have children, while 151/447 (33.8%) of participants were affected by the outbreak. Participants who believed in government and hospital control policies were less likely to change their intention to become pregnant (P < 10-3 , P < 10-3). In contrast, concerns about the impact of COVID-19 on female and fetal health led participants to cancel their original pregnancy plans (P < 10 −3). Conclusion: Three in ten couples of childbearing age, who originally expressed their intention of becoming pregnant, canceled their pregnancy plans after the COVID-19 outbreak. The COVID-19 outbreak has brought new challenges to people's physical and mental health. Effective policies and measures can help to improve people's fertility intentions with respect to having children.