Prevalence and Association of Digital Eye Strain with the Quality of Sleep and Feeling of Loneliness among Female College Students in Northern India.

INTRODUCTION: Because of COVID's impact on social behavior, students have become more reliant on computer-facilitated communication to continue their studies and interact with friends. While it is known that the association between screen exposure and psychological well-being is both harmful and stronger among adolescents than younger children, what is less studied are the causal factors that may mediate the relationship. OBJECTIVES: The objectives of this study were to analyze the relationship between screen exposure and two psychological outcomes, sleep quality and loneliness, using digital eye strain as a mediating factor. Eye strain is expected to have a direct and harmful influence on psychological well-being. MATERIALS AND METHODS: A structured and validated questionnaire was transcribed and administered online. A nonrepresentative sample of 497 female college students in a North Indian city participated in the study. Digital eye strain, quality of sleep, and feeling of loneliness scores were assessed using latent class analysis. RESULTS: The selected latent model suggested that Class 2 had a high percentage of students with network issues, the problem with space and noise, and various financial hardships, which had almost doubled the rate of loneliness (53.28%) and sleep-wake difficulties (75.41%) among the students affected with computer vision syndrome (89.75%). CONCLUSION: There is an urgent need to examine the implications of digital exposure across gender and age to prevent future complications. Further, awareness for improving holistic well-being in the digital era should be promoted through various platforms.

Kinematic coordinations capture learning during human-exoskeleton interaction.

Human-exoskeleton interactions have the potential to bring about changes in human behavior for physical rehabilitation or skill augmentation. Despite significant advances in the design and control of these robots, their application to human training remains limited. The key obstacles to the design of such training paradigms are the prediction of human-exoskeleton interaction effects and the selection of interaction control to affect human behavior. In this article, we present a method to elucidate behavioral changes in the human-exoskeleton system and identify expert behaviors correlated with a task goal. Specifically, we observe the joint coordinations of the robot, also referred to as kinematic coordination behaviors, that emerge from human-exoskeleton interaction during learning. We demonstrate the use of kinematic coordination behaviors with two task domains through a set of three human-subject studies. We find that participants (1) learn novel tasks within the exoskeleton environment, (2) demonstrate similarity of coordination during successful movements within participants, (3) learn to leverage these coordination behaviors to maximize success within participants, and (4) tend to converge to similar coordinations for a given task strategy across participants. At a high level, we identify task-specific joint coordinations that are used by different experts for a given task goal. These coordinations can be quantified by observing experts and the similarity to these coordinations can act as a measure of learning over the course of training for novices. The observed expert coordinations may further be used in the design of adaptive robot interactions aimed at teaching a participant the expert behaviors.

Perception of college-going girls towards corneal donation in North India: A latent class analysis study.

Purpose: To assess the perception of college-going girls toward corneal donation in Northern India. Methods: An online survey with a pre-structured, pre-validated questionnaire was conducted on 1721 college-going girls in Northern India. The knowledge and attitude scores were regressed, and latent class analysis was carried out. Results: The average of scores for all participants was computed individually for the knowledge questions and the attitude questions, and based on this score, total participants were divided into two groups: Better corneal donation behaviors (BCDB) and poor corneal donation behaviors. The binomial logistic regression model of knowledge domain for predicting BCDB, age of the participant, their awareness about corneal donation, and willingness to discuss eye donation among family members were found significant. Similarly, for the attitude domain, awareness about corneal donation, knowledge about hours within which ideal eye donation needs to be undertaken, and knowledge about eye donation during coronavirus disease 2019 (COVID-19) pandemic were found to be significant. Latent class analysis identified one subset of participants having poorer knowledge and attitude scores and that they were more from a rural background, were having more than first order as birth order, were belonging to SC/ST classes, had illiterate or secondary education of father and mother, and were living in rented houses. Conclusion: The findings of the study significantly contribute to devising a mechanism to improve knowledge and influencing the attitude about eye donation among the youth, especially young women, who can act as counselors and motivators for the masses as well as their own families, in the generations to come.

Association of screen time, quality of sleep and dry eye in college-going women of Northern India.

PURPOSE: To evaluate the association of daily screen time and quality of sleep with the prevalence of dry eye among college-going women. METHODS: This study was a cross-sectional, comparative questionnaire-based study of 547 college-going women in northern India. A 10-item Mini Sleep Questionnaire was used to check the quality of sleep, and the Standard Patient Evaluation of Eye Dryness (SPEED) scale was used to examine the prevalence of dry eye among college-going women. RESULTS: Multinomial logistic regression showed a significant association between dry eye with daily screen time spent (P < 0.05) and the quality of sleep (P < 0.05) among college-going girls. Using Latent Class Analysis, two latent classes were selected based on the Bayesian Information Criteria. It was found that the majority population falls in class two and was having Severe Sleep-Wake difficulty. It was seen that the participants in class two belonged to the age bracket of 18-21 years, were from stream Humanities, education of father and mother equal to graduation, father working only, belonging to the nuclear family, having one sibling, hailing from the urban locality, spending more than 6 h daily on-screen, a majority of them using mobile phones, not using eye lubricants, and reported an increase in screen time during COVID-19. CONCLUSION: Dry eye and sleep quality are essential global health issues, and coupled with increased screen time, may pose a challenge in the present era. Preventive strategies need to be incorporated in school and college curriculums to promote physical, social, and psychological well-being and quality of life.