Psychological Distress and Food Insecurity among International Students at a Hungarian University: A Post-Pandemic Survey

The aim of the present study was two-fold: Firstly, to estimate the prevalence of psychological distress among international students at a Hungarian university two years after the COVID-19 outbreak; and secondly, to identify its demographic and socioeconomic factors, with special regard to the students' food-security status. A cross-sectional study using a self-administered questionnaire was carried out from 27 March to 3 July 2022 among international students at the University of Debrecen. The questionnaire included information on demographic and socioeconomic characteristics, food-security status (six-item United States Department of Agriculture Food Security Survey Module (USDA-FSSM)), and psychological distress (Depression, Anxiety and Stress Scale (DASS-21)). Bivariate analysis was conducted to examine the potential associations between demographic/socioeconomic factors and psychological distress. Additionally, multiple logistic regression was employed to further analyze these associations. Of 398 participants, 42.2%, 48.7%, and 29.4% reported mild to extremely severe depression, anxiety, and stress, respectively. The ages 18-24 (AOR = 2.619; 95% CI: 1.206-5.689) and 25-29 (AOR = 2.663; 95% CI: 1.159-6.119), reporting a low perception of health status (AOR = 1.726; 95% CI: 1.081-2.755), and being food insecure (AOR = 1.984; 95% CI: 1.274-3.090) were significantly associated with depressive symptoms. Being female (AOR = 1.674; 95% CI: 1.090-2.571), reporting a low perception of health status (AOR = 1.736; 95% CI: 1.098-2.744), and being food insecure (AOR = 2.047; 95% CI: 1.327-3.157) were significantly associated with anxiety symptoms. Furthermore, being female (AOR = 1.702; 95% CI: 1.026-2.824)), living with roommates (AOR = 1.977; 95% CI: 1.075-3.635), reporting a low perception of health status (AOR = 2.840; 95% CI: 1.678-4.807), and being food insecure (AOR = 2.295; 95% CI:1.398-3.767) were significantly associated with symptoms of stress. Psychosocial programs combined with strategies to alleviate food insecurity are required to enhance international students' mental health and well-being.

DETERMINANT FACTORS COUPLES TO AVOID HAVING MORE CHILDREN IN BALI PROVINCE

The number of married women and men who no longer want children in Bali Province is consistent with a relatively high contraceptive prevalence rate (CPR) of 67%, higher than the national average of 64%. The large proportion of couples of reproductive age (CRA) who no longer want children either at the national or provincial level in Bali is an interesting thing to be analyzed further to see the factors that influence it. This study investigated secondary data of the 2017 Indonesia Demography and Health Survey (IDHS) in Bali Province. The variables studied included socio-demographics and desire to have children. The sample size was 271 married women (15-49 years). We found that the age of women of reproductive age (WRA), occupation of WRA, number of children alive, and ideal number of children are the four significant factors that influence the desire to have no more children in married couples. Based on these findings, a better family planning program can hopefully be made in the Bali province.

Prevalence of Depression, Anxiety, and Stress Among Repatriated Indonesian Migrant Workers During the COVID-19 Pandemic

Introduction: Repatriated Indonesian migrant workers are vulnerable to developing serious mental health problems during the COVID-19 pandemic. This study aimed to assess the prevalence and associated factors of depression, anxiety, and stress among these populations during the COVID-19 pandemic.

Methods: Guided by the health belief model, a cross-sectional study design was employed among 335 participants, and primary data were collected through an online survey. Measured using DASS-21, anxiety, depression, and stress were the dependent variables. We performed descriptive and inferential statistical analyses—logistic regression was used to predict independently associated variables. STATA was used to execute all data analyses.

Results: The prevalence of depression, anxiety, and stress among repatriated Indonesian migrant workers were 10.15, 9.25, and 2.39%, respectively. The risk of anxiety and depression was low among those aged 21–30 years old, who had completed a university degree, were married, and had quarantined for 14 days. Conversely, the risk of anxiety and depression was high among those who had bad perceived health status, high perceived susceptibility, and negative stigma perception.

Conclusion: The prevalence of depression, anxiety, and stress among repatriated Indonesian migrant workers was relatively low compared to the general population. The risk of anxiety and depression was low among young people, educated people, and those under effective quarantine, but the risk was high among those who had negative perceptions about their health, stigma, and susceptibility to the disease.

Perceived Social Norms as Determinants of Adherence to Public Health Measures Related to COVID-19 in Bali, Indonesia

Introduction: Before the widespread availability of an effective COVID-19 vaccine, it is crucial to control the rate of transmission by ensuring adherence to behavioral modifications, such as wearing masks, physical distancing, and washing hands, all of which can be implemented as public health measures. Focusing on the conditions in Bali, this study explored the level of compliance to public health measures targeted at COVID-19 and identified the determinants of compliance via the values, rules, and knowledge approach. Materials and Methods: This cross-sectional study conducted an online survey using the Google Form application from June 29 to July 5, 2020. The minimum required sample size was 664. Inclusion criteria were set as follows: 18 years of age or older and residing in Bali during the data collection period. Adherence was measured based on nine protocol indicators that were rated using a four-point Likert scale. A multiple linear regression analysis was then conducted to determine the associated factors of adherence to public health measures. Results: Of the 954 survey respondents, data from 743 were included for analysis. The average level of adherence to public health measures was 32.59 (range of 20-36). The linear regression analysis showed that perceived health benefits from public health measures, being female, and having COVID-19 test histories were significantly associated with adherence to public health measures. Conclusions: For public health measures targeted at COVID-19, adherence was strongly associated with perceived social norms, in which individuals played social community roles by adapting to standardized public health measures. It is thus imperative for governments to support and monitor public health measures during the COVID-19 pandemic.