Rising CO₂ emission constitute a great threat to the world environment and public health. This study examines the major determinants of CO₂ emissions in Far East countries in the period of 1980 to 2017. We adopt a panel data-fixed effect model that accounts for time-invariant country-specific characteristics that may create omitted-variable bias. We also additionally take care of the time trend by applying an annual fixed effect into our model. The study finds that urbanization, economic growth and trade openness significantly determine CO₂ emission in the selected countries. Thus, the main policy suggestions are (a) to encourage green and sustainable urbanization, as it helps in economic progress but not at the expense of environmental deterioration; (b) to strategically regulate and improve industrial structure; and (c) enhance sharing of renewable energy in total energy consumption.

The COVID-19 virus has become a fearful epidemic for people all over the world. In Turkey, long quarantine periods and curfews have increased both physical and psychological problems. Due to the rapid spread and substantial impact of the COVID-19 virus, different psychological effects were observed among different segments of society, such as among young people, elderly people, and active workers. Because of fear caused by the COVID-19 virus, it is thought that depression, stress, and anxiety levels have increased. It is estimated that there are more psychological issues for people with poor health and others whose friends or family became ill or have died because of COVID-19. To explore and test the situation mentioned above, we conducted a cross-sectional study in Turkey with 3287 participants above 16 years old. We measured COVID-19 fear, along with anxiety, stress, and depression levels (DASS21) and demographics. Firstly, we tested whether COVID-19 fear predicts stress, anxiety, and depression. Secondly, we investigated if the effect of COVID-19 fear is stronger for those who have underlying illness and for those whose friends or family became ill or have died because of COVID-19. The results showed that women and 16–25 years old youths have higher COVID-19-related fear, anxiety, depression, and stress. Furthermore, we found a significant relationship between COVID-19 fear and stress, anxiety, and depression, as well as significant moderation effects of having an underlying illness and having friends or family who were infected or have died. These results show the importance of implementing specific implementations, particularly for vulnerable groups, to minimize the psychological problems that may arise with the pandemic.

Careers are a reality of life that need to be considered as multi-dimensional in today’s modern societies. Choosing a career is a complex process that coincides with high school and university ages, creating psycho-social stress. Considering the literature, the effects of different environmental factors have been revealed in separate studies. This study examines both individual and environmental factors together. By adopting a quantitative research method, we collected cross-sectional data through online questionnaires from 1130 university students. The association of family influence and academic satisfaction with happiness through career decision self-efficacy was meaningful using gender, age, income, and parents’ education as control variables. Family influence and academic satisfaction were positively correlated with career decision self-efficacy and happiness. In conclusion, we found that family influence and support, students’ work, and academic satisfaction are positively significant in terms of the career process and happiness. It was understood that the career reality should be considered with a holistic view that includes family, school, and work experience.

Background: The American family structure has changed in the past few decades due to a rise in the divorce rate and unmarried women with children. Research suggests a salary disparity between men and women, especially for those women after pregnancy. However, these studies were confined to individuals within traditional families, and there is a lack of information of income disparity and poverty status between single mothers and fathers. The current study explored the disparities in single-parent families based on the household income and the poverty status using a set of nationwide censor data. Methods: The current study used data from the 2011 and 2013 Panel Study of Income Dynamics (N = 1135). Multivariate regression models were used in the analysis. Results: The demographic characteristics of the weighted population showed that taxable income, total income, and poverty status were higher for single fathers than mothers, while non-work income was higher for single mothers than fathers. Single mothers were much more likely to be at the crisis category than single fathers. Multivariate analyses showed that gender, age, marital status, years of experience, and geographic region had effects on taxable income, and only gender, marital status, and region had effects on poverty status. Conclusions: The results suggest that vulnerable group of single mothers was acknowledged according to income and poverty status. Age, marital status, years of experience, and region would be the critical factors for predicting the income and poverty status for single parenthood.

This study aimed to investigate the effects of social media addiction on depression in adult individuals. For this purpose, the researchers analyzed whether social media dependence had differing impacts according to various variables (age, gender, the highest level of education, duration of daily use of social media, frequency of social media use, etc.). A sample population of 419 people who live in different provinces in Turkey between 18 and 62 years of age participated in the research. The questionnaire form was developed to obtain the Social Media Dependence Scale (SMDS), Beck Depression Inventory scores, and demographic information from the participants. The research was conducted according to the general screening model. Significant differences were found between depression and social media dependency in variables such as the number of children, age, and income. As a result of the study, when social media addiction was examined in terms of gender among socio-demographic variables, no significant difference was found.

Diarrheal diseases (DD) are leading causes of disease burden, death, and disability, especially in children in low-income settings. DD can also impact a child's potential livelihood through stunted physical growth, cognitive impairment, and other sequelae. As part of the Global Burden of Disease Study, we estimated DD burden, and the burden attributable to specific risk factors and particular etiologies, in the Eastern Mediterranean Region (EMR) between 1990 and 2013. For both sexes and all ages, we calculated disability-adjusted life years (DALYs), which are the sum of years of life lost and years lived with disability. We estimate that over 125,000 deaths (3.6% of total deaths) were due to DD in the EMR in 2013, with a greater burden of DD in low- and middle-income countries. Diarrhea deaths per 100,000 children under 5 years of age ranged from one (95% uncertainty interval [UI] = 0–1) in Bahrain and Oman to 471 (95% UI = 245–763) in Somalia. The pattern for diarrhea DALYs among those under 5 years of age closely followed that for diarrheal deaths. DALYs per 100,000 ranged from 739 (95% UI = 520–989) in Syria to 40,869 (95% UI = 21,540–65,823) in Somalia. Our results highlighted a highly inequitable burden of DD in EMR, mainly driven by the lack of access to proper resources such as water and sanitation. Our findings will guide preventive and treatment interventions which are based on evidence and which follow the ultimate goal of reducing the DD burden.