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This study aims to understand how midwifery students view ethical rights concerning the usage of reproductive technologies.

A series of focus groups were conducted with midwifery students who were asked to discuss four novel scenarios highlighting some of the most controversial issues on the ethics of assisted reproductive technologies. The sample consisted of third-year students studying at the Department of Midwifery of a university in the fall semester of the 2020–2021 academic year. In total, 60 students aged between 20 and 23 participated in the study (mean age 21.5 years).

Four scenarios that may be encountered in the use of assisted reproductive techniques were presented to the students. These scenarios were about IVF treatment, using the preimplantation gender identification technique, surrogate mother and using frozen zygotes. Four themes were identified from the analysis of the focus group data related to all four scenarios. These themes were: female reproduction, sex selection, surrogacy and reproductive cloning.

This study reveals what midwifery students consider essential components of assisted reproduction techniques, focusing on the professional attributes of shared decision-making. The results suggest that student midwives are sensitive to the range of ethical dilemmas associated with the increased use of technology in human reproduction, and construct distinct bound arise in relation to what is considered of benefit or good to the mother, parents, the child and to society. They also expressed their opposition to the excessive use of technological intervention, preferring instead to maintain a more naturalistic approach to reproduction.

The purpose of this study is to explore the information needs and behaviors of Chinese first-time mothers from the perspective of information journey theory.

This study uses the popular coding language Python to write a program to extract 366 posts published by first-time mothers in the Babytree community of China's largest maternal and infant platform. Content analysis is used to analyze and encode the collected data.

This study summarizes the information needs of first-time mothers in China specifically, which includes six aspects of health, pregnancy care, postpartum parenting, socialization, self-actualization, and entertainment. Then, based on its hierarchical and stage characteristics, more flexible information needs matrix for Chinese first-time mothers has been developed to reflect their changing 15 types of information needs more fully. Finally, it constructs the information journey model of Chinese first-time mothers including five stages.

This is the first time that information journey theory has been applied to the research on information needs and behaviors of first-time mothers. The authors have also further expanded the information seeking and acquisition phases and found new gaps in the phases to further refine the information journey model. This study can help us better understand the online information needs and behaviors of Chinese first-time mothers and provide support for organizations and online health community managers to develop new information services or improve the quality of existing services.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0538.

This chapter explores the presentation of women's violence in Tamil mega serials. Tamil mega serials are produced in India and aired six days a week on satellite television channels. The story revolves around households with extended families living together and issues affecting women such as family well-being, motherhood and fertility. Women mostly take the role of the main protagonist and antagonist in Tamil serials. This chapter analyses the presentation of violence in 10 episodes of Chandralekha, a Tamil mega serial. Perpetrators of violence in Tamil serials are mainly female antagonists and other characters supporting the antagonists. The rivalry between the protagonist and antagonist centres around the struggle for property or the love of or marriage with a man. The type of violence ranges from mild to severe kinds of physical violence, and non-physical violence. The presentation of violence in Tamil serials reflects gender inequality in society. The meaning of some forms of violence in mega serials is closely related to the traditional gender roles and notion of traditional femininity in society.

This study aims to assess dietary choices of pregnant women and its relationship with their anaemia status.

A mixed-method study comprising a survey and three focus group discussions (FGDs). The survey included 380 adult pregnant women with data collected on food choices, preferences and haemoglobin (Hb) status.

More than 50% of women in the study had Hb concentration < 11.0 g/dl; mean Hb was 10.24 g/dl (SD = 1.59). Univariate analysis was used to generate descriptive tabulations for socio-demographic characteristics of respondents, dietary choices for women and anaemia status. T-test and bivariate analysis between dietary diversity score of the women among the food groups consumed as well as their anaemia (Hb) status. This showed that women with high dietary diversity score had improved Hb status (P = 0.003), and those who consumed meat and fish as well as dark leafy vegetables had significantly high diversity scores (P = 0.031 and P = 0.049). Thematic analysis was used for analysing qualitative data.

The sample used in the study is unlikely to be fully representative of pregnant women in the Accra Metropolis. In addition, this study used a cross-sectional study design, making it difficult to establish causal associations between nutritional status and food choice of pregnant women. It does not also show variation in dietary practices by seasons of the year. The scope of the study did not allow for a detailed analysis, and this should be considered in future studies. Also, the study did not explore an obstetric factor like past bleeding history as well as the menstrual cycle of these pregnant women, as these factors are likely to interfere with the anaemia status of the pregnant women.

This paper contributes significant value by specifically focusing on and clarifying the complex relationship between dietary choices and aneamia among pregnant women. It also provides insights into the distinct dietary patterns and preferences of pregnant women, which may be contributing to the high prevalence of aneamia. The results of the study can inform the development of localized, evidence-based interventions to address this critical public health concern, ultimately leading to improved maternal and foetal health outcomes.

Milk is often referred to as the ultimate food because it meets the nutritional needs of infants, children and adults alike. It is a rich source of protein, fat, sweetness, vitamins and minerals. Because of its widespread usage as a healthy dairy product, the issue of milk adulteration is of global significance. The increasing frequency of fraudulent methods in the dairy business raises concerns about its purity and quality.

A study was conducted and reviewed that looked at several approaches for detecting milk adulteration during the past 15 years. This study examines the current state of research and analyzes recent advances in development.

There are ways and technology available that can effectively put an end to the abhorrent practice of milk adulteration.

This research takes a unique approach, focusing on the application of milk adulteration. It provides an overview of milk adulteration detection and investigates the effectiveness of biosensors in identifying common milk adulterants.

Policing requires atypical work hours. The present study examined associations between shiftwork and pregnancy loss among female police officers.

Participants were 91 female officers with a prior history of at least one pregnancy. Shiftwork information was assessed using daily electronic payroll work records. Any prior pregnancy loss (due to miscarriage) was self-reported. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for main associations.

On average, the officers were 42 years old, had 14 years of service, and 56% reported a prior pregnancy loss. Officers who worked dominantly on the afternoon or night shift during their career had 96% greater odds of pregnancy loss compared to those on day shift (OR = 1.96, 95% CI:0.71–5.42), but the result was not statistically significant. A 25% increase in percent of hours worked on night shift was associated with 87% increased odds of pregnancy loss (OR = 1.87, 95% CI:1.01–3.47). Associations were adjusted for demographic and lifestyle factors. Objective assessment of shiftwork via electronic records strengthened the study. Limitations include small sample size, cross-sectional design and lack of details on pregnancy loss or the timing of pregnancy loss with regard to shiftwork.

The present study is preliminary and cross-sectional.

With considerable further inquiry and findings into this topic, results may have an impact on police policy affecting shift work and pregnant police officers.

Implication on the health and welfare of police officers.

To our knowledge, there are no empirical studies which associate shiftwork and pregnancy loss among police officers. This preliminary study suggested an association between shiftwork and increased odds of pregnancy loss and points out the need for further study.

In this chapter, the author proceeds to explore the second ‘C’ in the 3C Model of Taoism: conversation, with an emphasis on ecological sustainability. The discussion delves into the connections between Taoism and deep ecology, eco-effectiveness and eco-efficiency, and the Diderot effect and sustainable consumption. Taoism underscores the value of maintaining balance with nature and regards the natural world as a wellspring of wisdom and inspiration. Taoism and deep ecology share many philosophical similarities. Both perspectives highlight the importance of cherishing all living beings, coexisting peacefully with nature, and acknowledging that humans are a small component of a larger ecosystem. Taoism strongly accentuates the interconnectivity of all things and the critical need for balance between nature and human life. Along with promoting harmony and respect for the environment, deep ecology also advocates for social and political reform to protect the ecosystem. These two approaches emphasize the need to understand our position in the world and how our actions affect the environment and all living organisms. The wisdom of Taoism perceives sustainability as encompassing the entire ecosystem, an intricate network of life with its abundant and diverse range of species. This view aligns with the principles of deep ecology, which sees the ecosystem as a living entity in which humanity is merely one component.

Experiencing stigma after abortion may decelerate the accumulation of human capital. Despite the importance of studying the relationship between religiosity and abortion stigma, the topic is understudied, especially in Islamic contexts. Abortion was legalized in Iran in 2005. Under the new law, far more cases are allowed for abortion. This change provided an opportunity to explore the interplay of abortion stigma, legalization and religiosity in Iran.

Using regression analysis based on 291 completed questionnaires from two cities in Iran, this study analyzes the relation between abortion stigma level and religiosity in Iran, controlling for contextual and individual variables. The time trend is also identified. The authors use different manifestations of abortion stigma as dependent variables.

The authors found that abortion stigma and its two manifestations decreased after the new law, suggesting that its legalization might have caused abortion stigma to decrease gradually. Another finding of this study is that the correlations between abortion stigma (internalized stigma) and individual religiosity level are meaningful and positive; religious people feel higher levels of abortion stigma.

The study supports the idea that effective health regulations (in the specific case of abortion) would result in less cost/risk of social issues like stigma. Policymakers in religious societies must pay more attention to the specific case of abortion stigma since it is very important for the mental health of women who think of abortion and/or select it.

In the era of big data, there is doubt about the significance of causal inference as a paramount scientific task in the social sciences. Meanwhile, data-mining techniques rooted in big data and artificial intelligence (AI) have infiltrated numerous aspects of social science research. This study aims to expound the criticality of discerning causal relationships – beyond mere correlations – and scrutinizes the ramifications of big data and AI in the identification of causality.

This study discusses the challenges and opportunities for causality identification in the era of big data under the framework of potential outcomes model and structural causal model.

First, even in the age of big data, correlations that lack interpretability, robustness and feasibility cannot substitute causality. Second, the richness of the sample size does not help solve the problem of systematic bias in the process of causal inference. Furthermore, current AI research targets correlations rather than causality, thus creating difficulties in advancing from observations to counterfactuals.

This study provides insights into the impact of big data era on causal inference in the social sciences, with a view toward enhancing the pool of theoretical concepts available to researchers in relevant fields and accurately guiding the direction of scientific research in these fields.