Nowadays communication device usage has already reached an unprecedented level. Based on data provided by Central Statistics Agency (BPS), by 2018, at least 62% of Indonesian had a cellphone or a smartphone, and 20% had a computer. Besides smartphones and computers, many Indonesians choose television (TV) as their entertainment device, as proven by 57% of Indonesian households having a TV, although the number has been reduced in the past decade. Based on research conducted by Zickuhr, in 2011, average adults in the United States spent 7-10 hours using their communication device per day, with the most usage in the young adult population (18-35 years) and decreasing as the age increased. The recent development of computer-based communication devices increased our chances of spending much time staring at the blue light emitting screen. Research about the blue light emission effect has become a significant concern, especially in the last five years. It is due to its effect on sleep quality and eyes well-being. This research is an analytic descriptive, non-experiment cross-sectional study. The research uses a prospective and retrospective approach due to the type of data is primary data collected using a questionnaire distributed through social media. Based on Slovin's formula, the sample needed for this study is 133 respondents. This study showed a significant correlation between the usage of blue light-emitting communication devices, sleep quality (P = 0.000), and a moderate relation (r = 0.425) with the positive pattern. Keywords: Communication device usage, blue light, sleeps quality
Continuous long term laptop use causes a health complaint called Computer Vision Syndrome (CVS). The syndrome is influenced by applying an ergonomic system that is not good for students to use the laptop. This study aims to identify and analyze the correlation between length of time laptop usage and CVS. The method of this study was a descriptive study with the cross-sectional method. The study was conducted among Medical Faculty of Indonesia Christian University Students Class 2013 from October-December 2016. The data was collected via a questionnaire. The total number of samples was 62 persons with the random sampling method. The statistic test is used as a chi-square. The results indicate a correlation between time duration with visual problems (p=0.0000). There was a correlation break time with visual problems (p=0.0000), ocular problems (p=0.083) and extra-ocular problems (p=0.092). Nevertheless, the duration and break times have no significant correlation with CVS. There was a correlation between adequacy of light and CVS (p<0.05).The result of the study concluded that there was a correlation between length of time laptop use and CVS. Key words: CVS, length of time, laptop usage, ocular problems.
The correlation between the use of contact lens cleaning solutions with subjective complaints of the contact lens users in the medical student Batch 2018 Christian University of Indonesia. The research aims to determine the correlation between duration of use, knowledge, and obedience to contact lens cleaning solutions with subjective complaints of contact lens users. Samples were taken from 40 students of contact lens users by filling out a questionnaire containing duration of use, knowledge, and obedience use of contact lens cleaning solution. The result of the study is that the correlation between the duration of use of contact lens cleaning solution and knowledge of use of contact lens cleaning solution with subjective complaints of the contact lens users is not significant. The correlation between obedience use of contact lens cleaning solutions with subjective complaints of contact lens users is significant.
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