The Impacts of the COVID-19 Pandemic on Fertility Intentions of Women with Childbearing Age in China

Resilience and adaptation: a mixed-methods exploration of COVID-19's influence on neonatal residency education in China

BACKGROUND

This study aimed to assess the impact of the pandemic of the coronavirus disease 2019 (COVID-19) on neonatology residency training in a tertiary children's hospital in Chongqing, located in southwest China. Specifically, the study encompassed the effects on residents' education, lived experiences, well-being, and the quality of neonatal care delivered. As higher educational institutions adapt to the post-COVID-19 era after the pandemic disruption, it is imperative that educational designers/academics learn from their experiences and challenges in curriculum design and delivery, ensuring quality and relevance in education.

METHODS

This study employed a mixed-methods approach to investigate the influence of the COVID-19 pandemic on neonatology residency training at a tertiary children's hospital in Chongqing. The first phase surveyed residents' perceptions and experiences of their clinical education and well-being during the crisis. The second phase compared the quality of neonatal care between the pre-pandemic and pandemic periods.

RESULTS

The survey of 123 neonatology residents examines the effects of COVID-19 on their learning, training, and mental health. The survey showed that most residents adapted well to the situation. Still, some faced challenges in their clinical education and experiences, such as reduced clinical exposure and opportunities to see rare diseases and conditions. A retrospective analysis of clinical data revealed that 7,151 neonates were admitted to the neonatology department during the study period. There was a 27.6% decrease in neonatal admissions during COVID-19, with more premature births and transfers. Residents conducted fewer clinical procedures but managed more complex cases. During COVID, hospital stays and costs were higher, but antibiotic use was lower. Although the case-mix index (CMI) score increased during the pandemic (1.25 vs. 1.18, p < 0.05), there was no significant difference in the rates of readmission within 7 days or poor prognosis.

CONCLUSIONS

Despite reduced clinical exposure, the quality of neonatal care was maintained through innovative training methods that enhanced comprehensive residency programs. The study suggested that neonatology residency education remained effective and resilient during the crisis. Exceptional health professional education is vital to train qualified physicians and enhance healthcare systems for future challenges.

SARS-CoV-2 infection negatively impacts on the quality of embryos by delaying early embryonic development

BACKGROUND

The COVID-19 pandemic is an unprecedented health crisis that has affected in vitro fertilization practices globally. Previous studies have shown that SARS-CoV-2 impacts the quality of embryos by inducing an immunological response in infertile patients. In this study, the early embryonic development of SARS-CoV-2-infected infertile patients was investigated.

METHODS

Sixty-five SARS-CoV-2 infected infertile patients and 258 controls were involved in this study. The major outcome parameters for the cycle were analyzed, including the number of oocytes, maturation oocytes, available embryos per cycle, and embryo morpho kinetic characteristics.

RESULTS

From SARS-CoV-2 infection until oocyte retrieval, it took an average of 6.63 days. The results revealed that the number of oocytes and high-quality embryos on day 3 dramatically reduced in SARS-CoV-2-infected infertile patients. SARS-CoV-2 was detected in the follicular fluid of three infertile patients. SARS-CoV-2 infection had negatively impacted the number of oocytes in multivariate linear regression models. The early embryonic development in the SARS-CoV-2 infection group had a noticeable delay from the six-cell stage to blastocyst stage.

CONCLUSIONS

SARS-CoV-2 infection reduced the number of oocytes and high-quality embryos on day 3. It delays the early embryonic development from the six-cell stage to blastocyst stage and has a negative impact on the quality of embryos.

Impact of COVID-19 pandemic on marriage, divorce, birth, and death in Kerman province, the ninth most populous province of Iran

This study examined the impact of the COVID-19 pandemic on marriage, divorce, birth, and death rates using the Poisson regression model and an interrupted time-series Poisson regression model. Before the pandemic, marriage and birth rates were decreasing, while divorce and death rates were increasing, with only the trend in birth rates being statistically significant. The immediate effect of the pandemic was a significant decrease in the divorce rate, but there were non-significant effects on birth and marriage rates. However, in the months following the onset of the pandemic, there was a statistically significant sustained effect on increasing death and divorce rates. Forecasts based on pre-pandemic data showed that by the end of 2020, marriage, divorce, death, and birth rates were higher compared to pre-pandemic levels. In conclusion, the pandemic has greatly impacted society, particularly in terms of death and divorce rates. Birth rates were not immediately affected to the time lag between decisions and actual births. Fear of COVID-19 may have increased death rates as people avoided seeking medical help. Vaccination and effective treatment strategies are vital in reducing the pandemic's impact on mortality. Supporting families financially is important due to the role of economic issues in couples' decisions.

Factors impacting fertility anxiety among Chinese young women with marital status differences

Background

China's societal and cultural significance placed on female fertility and the changing roles of women can lead to fertility anxiety in both married and unmarried women. This anxiety is shaped by factors such as social media use, intergroup emotions, fertility risk perceptions, and national policies. This study examines the interplay of these factors in understanding fertility anxiety among Chinese women.

Methods

This study surveyed 607 young Chinese women using the Fertility Anxiety Scale developed by Zhang and Zhao. Mplus software was used for latent class analysis of respondents' fertility anxiety. A three-step approach with multinomial logistic regression was used to explore factors influencing fertility anxiety among married and unmarried women.

Results

The latent class analysis supported a two-category model: "high fertility anxiety" (65.70 % married, 53.70 % unmarried) and "low fertility anxiety" (34.30 % married, 46.30 % unmarried). Multinomial logistic regression showed that increased social media usage intensity and perception of health-family risks correlated with higher fertility anxiety in both married and unmarried women. Among unmarried women, intergroup emotions and perceptions of occupational-economic risks also influenced fertility anxiety. Attention to national policies did not significantly impact fertility anxiety among young women.

Conclusion

This study sheds light on the complex interplay of societal and individual factors in shaping fertility anxiety among young Chinese women. It underscores the enduring cultural significance placed on female fertility and the evolving roles of women in modern China. Regardless of their marital status, both married and unmarried women experience fertility anxiety, highlighting the pervasiveness of this concern.

The impact of COVID-19 on the intention of third-child in China: an empirical analysis based on survey data

BACKGROUND

Against the grim background of declining intention to have children, the ravages of COVID-19 have pushed China and the world into a more complex social environment. To adapt to the new situation, the Chinese government implemented the three-child policy in 2021.

OBJECTIVE

COVID-19 pandemic indirectly affects the country's internal economic development, employment, fertility plans or intention, and other major issues related to the people's livelihood, while undermining the stable operation of society. This paper explores the question that will COVID-19 pandemic affect Chinese people's intention to have a third child. And What are the relevant factors inside?

METHOD

The data in this paper are from the Survey released by the Population Policy and Development Research Center of Chongqing Technology and Business University (PDPR-CTBU), including 10,323 samples from mainland China. This paper uses the logit regression model and KHB mediated effect model (a binary response model given by Karlson, Holm, and Breen) to investigate the impact of the COVID-19 pandemic and other factors on Chinese residents' intention to have a third child.

RESULTS

The results suggest that the COVID-19 pandemic has a negative effect on Chinese residents' intention to have a third child. In-depth research on the mediating effect of KHB shows that COVID-19 pandemic will further inhibit residents' intention to have a third child by affecting their childcare arrangements, increasing their childcare costs, and increasing their exposure to occupational hazards.

CONTRIBUTION

This paper is more pioneering in focusing on the impact of the COVID-19 epidemic on the intention to have three children in China. The study provides empirical evidence for understanding the impact of COVID-19 epidemic on fertility intentions, albeit in the context of policy support.

Effect of the COVID-19 pandemic on women's fertility intentions and its policy implications for China and the rest of the world: a perspective essay

The COVID-19 pandemic and its social, economic, and health implications have generally reduced women's fertility intentions in different countries. In this article, we aimed to review studies of the impact of COVID-19 infection on women's fertility intentions and interventions to provide a theoretical basis and practical benchmark for the development of effective intervention strategies in China, which lifted its zero COVID system in early December 2022.

Factors Associated with Fertility Intention among Chinese Married Youth during the COVID-19 Pandemic

Using the childbearing survey data from Hubei Province in March 2022, this article empirically analyzed the status quo of fertility intention and its influencing factors among Chinese married youth during the COVID-19 pandemic. In our analysis, fertility intention was operationalized as the ideal number of children and short-term fertility plan. Statistical results showed that the average ideal number of children stood at 1.652, which was lower than the population replacement level, whilst only 16.4% of married youth had a short-term fertility plan. By utilizing a binary logit regression model and the sheaf coefficient technique, we found that COVID-19-induced factors (i.e., change in the marital relationship during the epidemic, delayed pregnancy preparation due to vaccination) had a more stable effect on fertility intention, especially on short-term fertility planning. Parenting perception characteristics exerted a great impact on the ideal number of children but a relatively small impact on short-term fertility planning. Meanwhile, married youth with stable jobs and a high family income did not necessarily show stronger fertility intentions than those with fewer socioeconomic resources. In addition, the findings also reveal that the relative importance of fertility-influencing factors could vary at different fertile stages, which have valuable implications for population policy in Chinese contexts.

Social norms and fertility intentions: Evidence from China

China’s low fertility rates are a major concern across all sectors of society. Fertility is a major issue related to economy, society and family development. Based on social norms theory, this paper explores the influence of social norms on individuals’ fertility intentions from two perspectives: spatial proximity and social proximity. Using data from the China Family Panel Studies, we found that individual’s fertility intentions were influenced by social norms; both neighborhood social norms and group social norms had significant effects. The role of social norms in shaping individual fertility intentions varied by gender, hukou, and life course; specifically, men, rural residents, and married individuals were more significantly influenced by social norms. This study improves the theoretical framework of fertility decision making by arguing that in addition to macro and individual factors, social norms have a very important influence on fertility intentions. Our findings suggest that reshaping social norms regarding fertility is essential to enhance fertility rates in China.

Measuring Well-Being of Migrant Gig Workers: Exampled as Hangzhou City in China

The consistent innovations and applications of information technology drive the vigorous development of the gig economy, and generate gig workers such as food delivery workers and couriers, and make a great contribution to stabilizing employment and increasing income. Gig workers, mostly made up of migrants, and suffer from job and status difficulties. Research on the well-being of migrant gig workers can reveal the practical problems and provide suggestions for narrowing the wealth gap to promote social fairness and justice. Taking Hangzhou city in China as an example, this paper explores the well-being of food delivery workers, couriers, and online car-hailing drivers as representatives of migrant gig workers. Firstly, the relevant data are acquired through the questionnaire. Secondly, the characteristics of this group are analyzed through descriptive analysis, namely: most of them are migrant workers aged between 20 and 39 with low occupation satisfaction due to insufficient social security coverage and limited well-being, despite relatively high income. Based on the analysis of differences in demographic variables and structural equation modeling, the factors affecting the well-being of migrant gig workers are studied, which mainly are occupation satisfaction, social interaction, and social security. The results show that occupation satisfaction is positively affected by family characteristics, social interaction, and social security. In addition, family characteristics and social security positively impact social interaction, but the former has no significant effect on well-being. Finally, this paper enriches the research on the well-being of specific migrant gig workers and gives policy suggestions for enhancing the well-being of migrant gig workers in Hangzhou city from the perspective of optimizing the mechanism, pilot construction, and platform provision.