Background: Junk foods typically contain high calories from sugar or fat with little protein, vitamins, or minerals. This study was conducted to determine the consumption and prevalence of junk food consumed among school-age adolescents. The main aims of this study were to find out the junk food consumption among school-age adolescents (5-18) in Kanakasundari rural municipality.Methods: This was analytical cross-sectional research. The total sample size for the study was 280. Purposive sampling was used to select the schools and census was used to select the students from the schools. A self-administered semi-structured questionnaire in Nepali version was used to collect the data and the collected data were entered and analysed in SPSS using simple statistical methods.Results: Among the 280 respondents, the mean age was 15.17 years. The consumption of junk food among adolescents was 45 percent among males and 55 percent among females. Religion (p=0.011) and type of family (p=0.034) were significantly associated with junk food consumption. The participants following Hindu religion were 3.43 times more likely to be consume junk food (COR=3.430, 95% CI=1.256-9.366) as compared to non-Hindu. Participants residing in joint family were less likely to consume junk food (COR=0.490, 95% CI=0.252-0.954) as compared to nuclear family.Conclusions: Majority of children consumed junk food regularly; the majority preferred it for taste and some were influenced by advertisements. There is a great need to maintain healthy eating habits among adolescents to decrease the health risk associated with frequent junk food.

Background: Technostress among students may lead to a higher burden on higher education institutions through a decrease in productivity, dropouts, and deviation from academic work. Students have a different set of characteristics, which makes them an interesting group to be studied. The aim of the study was to find out the status of technostress among respondents.Methods: Analytical study was conducted among 460 undergraduate public health science students of Purbanchal University in Kathmandu valley. The census method was used for data collection. Standard questionnaires and IDI guidelines are used as data collection tools. Data entry was done in Epidata and analysis was done in SPSS.Results: Mean value of 460 respondents was 22.61. Positive correlation was observed between the technostress and stress (p=0.01), depression (p=0.01), and anxiety (p=0.05). Academic productivity has positive correlation with stress (p=0.05) and depression (p=0.05). Stress was significantly associated with grade (p<0.001), depression was significantly associated with grade (p=0.003), techno overload (p=0.004), techno invasion (p=0.023), and anxiety was significantly associated with age (p=0.008), grade (p=0.009), techno overload (p=0.023), techno invasion (p=0.016), techno complexity (p=0.023).Conclusions: The study showed a positive association between technostress and academic qualification. There is a need for an awareness program on technostress and mental health to provide comprehensive knowledge on mental health.

Background: Adolescence is the lifespan between childhood and adulthood from ages 10 to 19 years. Psychological problem is a state of emotional and behavioral disorders, including depression, anxiety, aggression, educational difficulties, etc. The study aimed to assess the impact of associated factors on adolescents’ psychosocial problems.Methods: Analytical cross-sectional and quantitative method was used. The study population was adolescents in grades 8 and 9. Purposive sampling was used to select the schools and the census technique was used to collect the data from respondents. A structured questionnaire was designed and administered to study participants. Data collected from respondents were analysed and expressed using Epidata 3.1 and SPSS 26.Results: The study shows that the prevalence of psychosocial problems among adolescents was 32.4%. The adolescent age group was greatly dominated by the age group 14-15 years (72.1%) and most of the respondents were female (52%). There was a significant association between the bad relationships with siblings (OR=5.840, 95% CI=1.820-18.735, p value=0.003), neighbors (OR=4.46, 95% CI=1.36-14.60, p value=0.013), classmates (OR=3.630, 95% CI=1.060-12.424, p value=0.040) and fine relationship with teachers (OR=5.091, 95% CI=2.223-11.658, p value<0.001) and those not satisfied with pocket money (OR= 2.833, 95% CI=1.227-6.544, p value=0.015) with the psychosocial problem.Conclusions: The update and revision of mental health policy and increment in the allocation of the health budget are crucial for improving mental health. The school can help by introducing child to parent approach to decrease the prevalence of psychosocial problems through a different awareness program and proper knowledge.