Anxiety and depression and their relation to the use of electronic devices among secondary school students in Al-Khobar, Saudi Arabia, 2018-2019

Study on anxiety, depression, and sleep conditions and their interrelations among vocational college students during the COVID-19 pandemic management normalization

Objective

This study investigates the sleep patterns among vocational college students and examines their association with anxiety and depression amidst the ongoing normalization of COVID-19 management strategies.

Methods

In the period of January to February 2022, a comprehensive survey was conducted involving a random sample of 3,300 students. By employing face-to-face interviews, data on general demographics, along with levels of anxiety, depression, and sleep quality, were meticulously gathered and analyzed.

Results

Out of the 3,049 questionnaires deemed valid for analysis, the prevalence rates for anxiety, depression, and insomnia were found to be 9.7, 14.1, and 81.9%, respectively. Through regression analysis, several factors were identified as significant predictors of insomnia: female gender, a self-perceived average or poor family economic status over the last year, moderate psychological stress due to the pandemic and its associated restrictions, extended daily screen time during the pandemic, absence of a routine physical exercise regime, significant disruption or alteration of daily life routines due to the pandemic, presence of anxiety and depression symptoms during the pandemic, and only partial restoration of normal life routines post-pandemic control measures (p < 0.001, p < 0.005, or p < 0.050). A strong correlation was observed among the symptoms of anxiety, depression, and insomnia (all p < 0.001). The correlation between stress and depression, depression and insomnia, and anxiety and insomnia were 0.824, 0.714, 0.620, respectively, (all p < 0.001).

Conclusion

Given the substantial impact of abrupt or prolonged crisis events, it is imperative to develop and implement specific intervention strategies aimed at safeguarding the psychological well-being of college students.

Effects of myopia on health-related quality of life in adolescents: a population-based cross-sectional causal empirical survey

OBJECTIVE

Myopia is a prevalent disease affecting adolescent vision and harms various health outcomes. However, the evidence about the effects of myopia on adolescents' overall health status is limited. Using health-related quality of life (HRQoL), a comprehensive health measurement indicator, this study aims to evaluate the effects of myopia on adolescents' HRQoL.

METHODS AND ANALYSIS

Adolescents' HRQoL was measured by the Child Health Utility 9D instrument. Data were collected from a population-based cross-sectional survey conducted in Shandong province of China. To mitigate the potential endogeneity bias, parents' myopia degree was used as the instrumental variable for adolescents' myopia status. The causal model was built to explore the effects and potential mediators of myopia on the HRQoL of adolescents. Heterogeneity analysis was used to identify susceptible groups.

RESULTS

108 657 adolescents with an average age of 12 were included in the analysis. Compared with adolescents without myopia, the health utility value of individuals with low, moderate and high decreases by 0.5%, 1.1% and 2.2%, respectively. The reduction of outdoor activity time and increase in electronic device usage time play the mediator role. Myopia leads to a greater decrease in the health utility value of adolescents in higher grades, boarding schools and low-income households compared with their counterparts.

CONCLUSION

Myopia impairs adolescents' HRQoL and damages the overall health level of adolescents. The frequency of outdoor activity and electronic device usage could be the potential mediators. The susceptibility of adolescents in higher grades, boarding schools and low-income households would be exacerbated.

Adolescents' electronic devices use during the COVID-19 pandemic and its relationship to anxiety and depression levels: a cross-sectional study

BACKGROUND

The aim of this study is to assess the prevalence of anxiety and depression symptoms among adolescent students in the West Bank region of Palestine, with a particular focus on the impact of electronic device usage on their mental well-being.

METHODS

This cross-sectional study included a representative sample of 1,140 adolescents enrolled in governmental secondary schools. We targeted schools located in Nablus, Ramallah, and Hebron districts, which, respectively, represent the northern, central, and southern regions of the West Bank. We collected data on their sociodemographic characteristics, patterns of electronic device usage, scores from the Beck Depression Inventory-II, and the 7-item Generalized Anxiety Disorder scale, all gathered through a self-administered online questionnaire. To explore the independent relationship between anxiety, depression, and various factors, we calculated odds ratios and their corresponding 95% CI using a binary logistic regression model.

RESULTS

The study revealed a prevalence of moderate to severe anxiety at 35.4% [95% CI: 32.7-38.3%] and moderate to severe depression at 23.9% [95% CI: 21.4-26.4%]. Notably, anxiety scores were significantly higher among females [OR = 3.8, 95% CI: 2.5-5.9], individuals with lower academic performance [OR = 3.4, 95% CI: 2.1-5.4], and smokers [OR = 1.9, 95% CI: 1.1-3.0]. Similarly, significantly elevated depressive scores were observed among females [OR = 2.0, 95% CI: 1.3-3.1], those with lower academic performance [OR = 3.4, 95% CI: 2.1-5.4], and smokers [OR = 1.9, 95% CI: 1.3-2.8]. Conversely, students who used electronic devices for shorter durations were less likely to experience depression [OR = 0.49, 95% CI: 0.32-0.76] or anxiety [OR = 0.47, 95% CI: 0.32-0.69].

CONCLUSION

Considering the alarming rates of anxiety and depression in adolescents, along with their connection to the time spent using electronic devices, we strongly recommend the creation of initiatives and support networks to alleviate this issue's impact. Encouraging healthier lifestyles, such as reducing screen time and increasing physical activity, could potentially enhance the mental well-being of adolescents.

Predictors of Anxiety in Romanian Generation Z Teenagers

Adolescence is a very complex period of life, full of challenges, and explorations that young people have to face on the path to becoming adults. In adolescence, specific deviations from the everyday lifestyle, as well as emotional failures or imbalances, may also occur. When things tend to become more and more unclear, adolescents come to directly face some form of anxiety. The present study concerns the relationship of Romanian adolescents with their fathers from the perspective of anxiety issues. For this, an anonymous questionnaire was applied using a sample of availability of 558 teenagers and a complementary second questionnaire was intended for their fathers (N2 = 114 subjects). The questionnaire addressed to Generation Z Romanian adolescents included items regarding the self-assessment of one's own behaviour and relationship with one's father, as well as the Generalized Anxiety Disorder Scale-7 (GAD-7). The questionnaire addressed to the fathers included mirror questions regarding the relationship with their children. The main results showed that the relationship between adolescents and their fathers has an ambivalent impact on anxiety: if it is a strong relationship, the risk to develop anxiety decreases, while if it is a weak relationship, it increases the risk of anxiety.

Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis

BACKGROUND

Depression and anxiety symptoms in early childhood have a major effect on children's mental health growth and cognitive development. The effect of mental health problems on cognitive development has been studied by researchers for the last 2 decades.

OBJECTIVE

In this paper, we sought to use machine learning techniques to predict the risk factors associated with schoolchildren's depression and anxiety.

METHODS

The study sample consisted of 3984 students in fifth to ninth grades, aged 10-15 years, studying at public and refugee schools in the West Bank. The data were collected using the health behaviors schoolchildren questionnaire in the 2013-2014 academic year and analyzed using machine learning to predict the risk factors associated with student mental health symptoms. We used 5 machine learning techniques (random forest [RF], neural network, decision tree, support vector machine [SVM], and naive Bayes) for prediction.

RESULTS

The results indicated that the SVM and RF models had the highest accuracy levels for depression (SVM: 92.5%; RF: 76.4%) and anxiety (SVM: 92.4%; RF: 78.6%). Thus, the SVM and RF models had the best performance in classifying and predicting the students' depression and anxiety. The results showed that school violence and bullying, home violence, academic performance, and family income were the most important factors affecting the depression and anxiety scales.

CONCLUSIONS

Overall, machine learning proved to be an efficient tool for identifying and predicting the associated factors that influence student depression and anxiety. The machine learning techniques seem to be a good model for predicting abnormal depression and anxiety symptoms among schoolchildren, so the deployment of machine learning within the school information systems might facilitate the development of health prevention and intervention programs that will enhance students' mental health and cognitive development.

Time, love and tenderness: Doctors' online volunteering in Health Virtual Community searching for work-family balance

BACKGROUND

This study will explore and understand the experience of doctors volunteering online in managing the boundaries between work and family in health virtual communities (HVC).

METHODOLOGY

A qualitative case study approach was used to explore and understand how doctors volunteering online balances between work and family in a Health Virtual Community called DoktorBudak.com (DB). A total of seventeen (17) doctors were interviewed using either face-to-face, Skype, phone interview or through email.

RESULTS

The results of this study suggested that doctors perceived the physical border at their workplace as less permeable though the ICT has freed them from the restriction to perform other non-related work (such as online volunteering (OV) works) during working hours. In addition, doctors OV use ICTs to perform work at home or during working hours, they perceive their work and family borders as flexible. Furthermore, the doctors used different strategies when it came to blending, whether to segment or integrate their work and family domains.

CONCLUSION

This study has defined issues on work-family balance and OV. Most importantly this study had discussed the conceptual framework of work-family balance focusing on doctors volunteering online and how they have incorporated ICTs such as Internet technology to negotiate the work-family boundaries, which are permeable, flexible and blending.

Anxiety Level of University Students During COVID-19 in Saudi Arabia

COVID-19 is the worst pandemic of this millennium, and it is considered to be the "public enemy number one." This catastrophe has changed the way we live in the blink of an eye. Not only has it threatened our existence and health status, but the damage associated with it could equally affect our economic, social, and educational systems. The focus of this study was on the anxiety level of university students during the COVID-19 pandemic in Saudi Arabia. The study was conducted between March and June 2020. A questionnaire was administered online, and 400 completed questionnaires were returned. In this study, the Zung self-rating anxiety scale was used to determine the anxiety levels among the respondents. The results indicated that about 35% of the students experienced moderate to extreme levels of anxiety. Anxiety was highly associated with age, sex, and level of education. These findings can enlighten government agencies and policy makers on the importance of making prompt, effective decisions to address students' anxiety during the COVID-19 pandemic. Researchers are encouraged to focus their future studies on how to develop strategies to boost students' resilience and enhance their adaptability skills for similar disasters in the future.