Risk factors of computer vision syndrome in students during online learning period

The COVID-19 pandemic poses a risk of increasing cases of computer vision syndrome (CVS) due to changes in the environment for work and study because of the implementation of the Work/Study from Home policy. This study aimed to determine the risk factors associated with CVS in students. The study design was cross-sectional with the population of bachelor program students, with a sample size of 124 students. Data were collected through online questionnaires. Data analysis was carried out to study the statistical relationship between the independent variables and the dependent variable using the Chi-Square test. This study showed that the prevalence of CVS among students was 87.1%. The analysis showed that one variable had a significant relationship with CVS in students, namely emotional exhaustion (OR 5.47, 95% CI: 1.75-17.02). Another variable, although not significant, was considered to play a role as a risk factor for CVS, namely the duration of computer use (OR 4.75, 95% CI: 1.02-22.25). Emotional exhaustion and duration of computer use are important risk factors in the occurrence of CVS in students during the online learning period. It is necessary to increase socialization regarding the ergonomics of using computers and stress management to prevent CVS in students. © 2023, Intelektual Pustaka Media Utama. All rights reserved.

Knowledge, Attitudes, and Behaviors of Students at Islamic Boarding School X toward COVID-19 Incidence in 2022

The spread of COVID-19 can occur in various settings but most notably in gathering places. Health protocols to avoid the spread of COVID-19 may be influenced by the knowledge and attitude of individuals. This study examined the relationship between knowledge, attitudes, and behaviors of students at the Islamic Boarding School X in Serang City, Banten Province, Indonesia, with the COVID-19 incidence. A quantitative approach with a cross-sectional study design was used. The study population consisted of 994 students, from which (via the Slovin's formula) a minimum sample size of 285 students was obtained. Data collection was carried out using an online validated questionnaire. The data collected related to age, sex, education level, knowledge level, attitude, behavior, and the COVID-19 incidence as experienced by the respondents. The results showed that most students had low-level knowledge (71.9%), negative attitudes (51.3%), and poor behaviors (53.2%) regarding the COVID-19. Most of the students were infected by the COVID-19 (88%). Statistically, knowledge, attitude, and behavior had no significant relationship with the COVID-19 incidence (p-value>0.05). This study concludes that knowledge, attitude, and behavior are not related to the COVID-19 incidence.