Problematic internet use (PIU) can be defined as internet use that is not well-controlled. The aim of this study was to examine the validity and reliability of the Problematic Internet Use Questionnaire Short Form (PIUQ-SF-6) among Serbian medical students and to examine the prevalence of students at risk of problematic internet use and social, lifestyle, and mental health characteristics associated with it. We conducted a cross-sectional study that included a total of 735 medical students (66.8% female and 33.2% male) attending classes in Social Medicine during the 2023/2024 school year. The instrument used was a questionnaire developed based on the questionnaires in similar studies. A total of 160 students (21.8%) were in the problematic internet use group, and 575 were in the non-problematic internet use group. Multivariate logistic regression analysis with PIU as the outcome variable showed an association between PIU and the Patient Health Questionnaire−9 score (OR: 1.10, 95% CI: 1.03–1.16) and impulsivity (OR: 1.07, 95% CI: 1.05–1.10). The mental health of medical students, as future health professionals, should be promoted through tailored interventions that are widely accessible and long-lasting.

Background and aim: During the past few decades, the aging population has increased. With aging, there is an increase in functional limitations. The aim of this study was to analyze sociodemographic factors associated with physical functioning impairment in elderly males and females. Methods: This population-based modeling study based on a data from a third national study of health of Serbian inhabitants from 2013 in Serbia included 3540 elderly participants 65 years of age and above from Serbia. Physical functioning for both genders was categorized as follows: PF1—walking half a kilometer on level ground without the assistance of any mobility aids and PF2—walking up or down 12 steps. Modeling of physical functioning for both genders was categorized as follows: Model 1: inability to perform PF1, Model 2: some/a lot of difficulty in performing PF1, Model 3: inability to perform PF2, and Model 4: some/a lot of difficulty in performing PF2. Further variables were evaluated: age, education level, marital status, body mass index (BMI), wealth index, and place of residence. Logistic regression was performed to identify the variables that are factors associated with PF1 and PF2 in elderly males and females. Results: Statistically significant factors were as follows: age (Model 1 (male OR: 2.591; female OR: 4.708); Model 2 (male OR: 1.791; female OR: 2.354); Model 3 (male OR: 2.386; female OR: 4.985); Model 4 (male OR: 1.883; female OR: 2.772)); BMI (Model 2 (female OR: 1.348); Model 4 (female OR: 1.329)), marital status (Model 2 (female OR: 0.713); Model 4 (male OR: 0.688)); education level (Model 1 (male OR: 0.626; female OR: 0.537); Model 2 (male OR: 0.811; female OR: 0.653); Model 3 (male OR: 0.697; female OR: 0.494); Model 4 (male OR: 0.784; female OR: 0.639)); wealth index (Model 2 (male OR: 0.823; female OR: 0.740); Model 3 (male OR: 0.724); Model 4 (male OR: 0.787; female OR: 0.731)); and place of residence (Model 1 (female OR: 1.704); Model 3 (female OR: 1.575)). Conclusions: Increased age, being single, a lower education level, and a lower wealth index were factors associated with functional disability in the elderly of both genders, while an increased BMI and living in another place than a city were factors associated with functional disability in elderly females. Specific social strategies bearing in mind possible gender differences should be created and implemented in order to optimize the physical functioning, mobility, and participation of the elderly.

Background/Objectives: The COVID-19 pandemic substantially affected both the provision and demand for health services. There are few studies that analyzed factors associated with unmet healthcare needs during the COVID-19 pandemic relative to regular pre-pandemic period, mainly in high-income countries. This study examines the change in the likelihood of reporting unmet healthcare needs as well as individual demographic, socioeconomic, health-related, and geographical characteristics associated with unmet healthcare needs during the COVID-19 pandemic and during the pre-pandemic period in Serbia. Methods: We utilized data from the Survey on Income and Living Conditions in the Republic of Serbia for 2019 and 2021. Multivariable logistic regression analysis was conducted on the pooled sample comprising 21,422 respondents aged 16 years and older from both survey years. Results: Overall, respondents had 1.6 times higher odds of reporting unmet healthcare needs during the COVID-19 pandemic compared with the pre-pandemic period. In the pooled multivariable analysis, older adults (OR = 2.32), individuals reporting poor or very poor self-rated health (OR = 2.16), and those with chronic diseases (OR = 1.46) were more likely to report unmet healthcare needs. In contrast, individuals with higher levels of education (ORs = 0.72 for high school, 0.65 for college, and 0.51 for master’s degree), retired individuals (OR = 0.70), inactive persons (OR = 0.76), and students/pupils (OR = 0.22) had significantly lower odds of unmet needs, compared to their counterparts. Relative to the poorest income quintile, individuals in all higher income quintiles were less likely to report unmet healthcare needs, with the lowest odds observed in the 5th quintile (OR = 0.49). Residents of thinly populated areas had higher odds compared to those in densely populated areas (OR = 1.19). Conclusions: Identified associations with unmet healthcare needs should be used to develop targeted strategies for strengthening healthcare access, particularly in the context of future crises.