UNASSIGNED: The American Optometric Association defines computer vision syndrome (CVS), also known as digital eye strain, as \"a group of eye- and vision-related problems that result from prolonged computer, tablet, e-reader and cell phone use\". We aimed to create a well-structured, valid, and reliable questionnaire to determine the prevalence of CVS, and to analyze the visual, ocular surface, and extraocular sequelae of CVS using a novel and smart self-assessment questionnaire.
UNASSIGNED: This multicenter, observational, cross-sectional, descriptive, survey-based, online study included 6853 complete online responses of medical students from 15 universities. All participants responded to the updated, online, fourth version of the CVS questionnaire (CVS-F4), which has high validity and reliability. CVS was diagnosed according to five basic diagnostic criteria (5DC) derived from the CVS-F4. Respondents who fulfilled the 5DC were considered CVS cases. The 5DC were then converted into a novel five-question self-assessment questionnaire designated as the CVS-Smart.
UNASSIGNED: Of 10 000 invited medical students, 8006 responded to the CVS-F4 survey (80% response rate), while 6853 of the 8006 respondents provided complete online responses (85.6% completion rate). The overall CVS prevalence was 58.78% (n = 4028) among the study respondents; CVS prevalence was higher among women (65.87%) than among men (48.06%). Within the CVS group, the most common visual, ocular surface, and extraocular complaints were eye strain, dry eye, and neck/shoulder/back pain in 74.50% (n = 3001), 58.27% (n = 2347), and 80.52% (n = 3244) of CVS cases, respectively. Notably, 75.92% (3058/4028) of CVS cases were involved in the Mandated Computer System Use Program. Multivariate logistic regression analysis revealed that the two most statistically significant diagnostic criteria of the 5DC were ≥2 symptoms/attacks per month over the last 12 months (odds ratio [OR] = 204177.2; P <0.0001) and symptoms/attacks associated with screen use (OR = 16047.34; P <0.0001). The CVS-Smart demonstrated a Cronbach\'s alpha reliability coefficient of 0.860, Guttman split-half coefficient of 0.805, with perfect content and construct validity. A CVS-Smart score of 7-10 points indicated the presence of CVS.
UNASSIGNED: The visual, ocular surface, and extraocular diagnostic criteria for CVS constituted the basic components of CVS-Smart. CVS-Smart is a novel, valid, reliable, subjective instrument for determining CVS diagnosis and prevalence and may provide a tool for rapid periodic assessment and prognostication. Individuals with positive CVS-Smart results should consider modifying their lifestyles and screen styles and seeking the help of ophthalmologists and/or optometrists. Higher institutional authorities should consider revising the Mandated Computer System Use Program to avoid the long-term consequences of CVS among university students. Further research must compare CVS-Smart with other available metrics for CVS, such as the CVS questionnaire, to determine its test-retest reliability and to justify its widespread use.

BACKGROUND: There is a need to establish the prevalence of self-reported physical symptoms such as pain in professional gamers (PGs) and to analyse whether there are correlations between lifestyle factors and self-reported physical symptoms. The purpose of this study was to analyse the prevalence of self-reported physical symptoms including eye-related problems in PGs. A further aim was to analyse the association between physical symptoms and lifestyle factors such as sleep time, play time and physical activity.
METHODS: This study was designed as a cross-sectional study with data based on an electronic survey, created specifically for this study, through discussion and screening of established validated questionnaires for physical symptoms in musculoskeletal conditions: the Karolinska Sleep Questionnaire and the Nordic Musculoskeletal Questionnaire. The survey comprised age and years of experience as a PG as descriptive variables, as well as questions on sleep, play time, physical activity and physical symptoms for the purpose of analysis. The directors of 10 professional gaming corporations were contacted by email with a link to the study-specific survey to distribute to all employees.
RESULTS: A total of 40 answers to the electronic survey were retrieved from 40 PGs, of which 62.5% (n = 25) had experienced at least one physical symptom in the three months prior to answering the survey. There was a significant association between playing time and physical symptoms (OR = 8.0; 95% CI 1.4-44.6, p = 0.018), where playing for more than 35 h a week was positively associated with eight times higher odds of experiencing physical symptoms.
CONCLUSIONS: There is a high prevalence of physical symptoms, such as headache and eye symptoms, in professional eSports gamers. There was an association between playing more than 35 h per week with the prevalence of physical symptoms.

BACKGROUND: Aphasia is a communication disorder affecting more than one-third of stroke survivors. Computerized Speech and Language Therapy (CSLT) is a complex intervention requiring computer software, speech and language therapists, volunteers, or therapy assistants, as well as self-managed practice from the person with aphasia. CSLT was found to improve word finding, a common symptom of aphasia, in a multicenter randomized controlled trial (Clinical and Cost Effectiveness of Computer Treatment for Aphasia Post Stroke [Big CACTUS]).
OBJECTIVE: This study provides a detailed description of the CSLT intervention delivered in the Big CACTUS trial and identified the active ingredients of the intervention directly associated with improved word finding for people with aphasia.
METHODS: We conducted a multiple methods study within the context of a randomized controlled trial. In study 1, qualitative interviews explored key informants\' understanding of the CSLT intervention, how the components interacted, and how they could be measured. Qualitative data were transcribed verbatim and analyzed thematically. Qualitative findings informed the process measures collected as part of a process evaluation of the CSLT intervention delivered in the Big CACTUS trial. In study 2, quantitative analyses explored the relationship between intervention process measures (length of computer therapy access; therapists\' knowledge of CSLT; degree of rationale for CSLT tailoring; and time spent using the software to practice cued confrontation naming, noncued naming, and using words in functional sentences) and change in word-finding ability over a 6-month intervention period.
RESULTS: Qualitative interviews were conducted with 7 CSLT approach experts. Thematic analysis identified four overarching components of the CSLT approach: (1) the StepByStep software (version 5; Steps Consulting Ltd), (2) therapy setup: tailoring and personalizing, (3) regular independent practice, and (4) support and monitoring. Quantitative analyses included process and outcome data from 83 participants randomized to the intervention arm of the Big CACTUS trial. The process measures found to be directly associated with improved word-finding ability were therapists providing a thorough rationale for tailoring the computerized therapy exercises and the amount of time the person with aphasia spent using the computer software to practice using words in functional sentences.
CONCLUSIONS: The qualitative exploration of the CSLT approach provided a detailed description of the components, theories, and mechanisms underpinning the intervention and facilitated the identification of process measures to be collected in the Big CACTUS trial. Quantitative analysis furthered our understanding of which components of the intervention are associated with clinical improvement. To optimize the benefits of using the CSLT approach for word finding, therapists are advised to pay particular attention to the active ingredients of the intervention: tailoring the therapy exercises based on the individual\'s specific language difficulties and encouraging people with aphasia to practice the exercises focused on saying words in functional sentences.
BACKGROUND: ISRCTN Registry ISRCTN68798818; https://www.isrctn.com/ISRCTN68798818.

UNASSIGNED: Mindfulness interventions are effective in improving mood, reducing stress, and increasing quality of life. New developments in technology bring important channels to deliver mindfulness interventions that can increase accessibility, such as the Internet, computerised interventions, mobile apps and recently, virtual reality (VR). The aim of the present study is to enhance our current understanding of the use of VR in mindfulness, namely we examined in a pilot randomised trial the efficacy of an immersive VR-based mindfulness approach compared to an active control (computerised-based mindfulness meditation) on improving mood. A secondary objective was to examine whether VR use resulted in simulator sickness which could affect user engagement.
UNASSIGNED: Forty-seven (Mage = 29.22 years) healthy participants were randomly assigned to the experimental or control group.
UNASSIGNED: A mixed 2X3 ANOVA showed a significant Time effect. Namely, negative emotions were reduced in both groups, with non-significant differences between groups. For positive emotions, on the other hand, our results showed no significant impact. Simulator sickness in VR was not present, according to t-test, making VR a safe delivery method.
UNASSIGNED: Future research should investigate VR dosage and combine VR with other interventions (e.g., blended with face-to-face mindfulness interventions, with Internet-delivered interventions).

Prolonged screen time is associated with an increased risk of obesity in adolescents. However, little is known about whether Internet use is also associated with dietary risk factors including consumption of obesogenic foods.
In this study, we examined the associations of leisure-time and study-time Internet use with dietary risk factors in Korean adolescents using nationally representative survey data.
We conducted a cross-sectional analysis among 54,416 middle and high school students in the Korea Youth Risk Behavior Web-based Survey 2015. Participants were asked to report the average duration of leisure-time and study-time Internet use, days of skipping breakfast, and frequency of fruit, vegetable, instant noodle, fast-food, chip/cracker, and sugar-sweetened beverage (SSB) intakes. We performed multivariable logistic regression to estimate ORs and 95% CIs for the relations between duration of Internet use and dietary risk factors, accounting for complex survey sampling and adjusting for potential confounders.
Prolonged leisure-time Internet use (≥241 compared with 1-60 min/d) was associated with higher prevalence of frequent skipping breakfast (OR: 1.39; 95% CI: 1.29, 1.49), low intakes of fruits (OR: 1.27; 95% CI: 1.18, 1.36) and vegetables (OR: 1.43; 95% CI: 1.33, 1.55), and high intakes of instant noodles (OR: 1.87; 95% CI: 1.74, 2.02), fast-food (OR: 1.63; 95% CI: 1.49, 1.78), chips/crackers (OR: 1.37; 95% CI: 1.24, 1.52), and SSBs (OR: 1.63; 95% CI: 1.52, 1.75). Prolonged study-time Internet use (≥121 compared with 1-60 min/d) was inversely associated with prevalence of low fruit (OR: 0.94; 95% CI: 0.88, 1.00) and vegetable (OR: 0.91; 95% CI: 0.85, 0.98) intakes but was positively associated with high intakes of instant noodles (OR: 1.10; 95% CI: 1.03, 1.19) and chips/crackers (OR: 1.13; 95% CI: 1.04, 1.23). The overall associations remained consistent in analyses stratified by sex, grade, region, parental co-residence, perceived household income, perceived stress level, physical activity, and obesity status.
Our data suggest that prolonged Internet use, particularly during leisure time, is associated with less healthful dietary behaviors in Korean adolescents. Am J Clin Nutr 2021;114:1791-1801.

UNASSIGNED: Unique cognitive impairments related to chronic obstructive pulmonary diseases (COPD) have been increasingly reported. Considering the dementia risk and medication management, older patients with COPD should be evaluated for cognitive impairment. This study aimed to examine whether specific cognitive impairments related to COPD could be detected by an assessment tool using a touchscreen personal computer (PC) in older patients with COPD.
UNASSIGNED: This study included 28 older male patients with COPD and 30 healthy older male individuals. A touchscreen PC-based cognitive assessment application called CogEvo was used to assess and compare the cognitive function according to five domains: spatial cognition, orientation, working memory, executive function, and attention.
UNASSIGNED: Analysis of variance showed an interaction effect on the indices of cognitive function based on five domains between the two groups, indicating differences in the characteristics of cognitive function in such groups. Betweengroup comparisons as a subtest showed that attention, executive function, and working memory were significantly lower in the COPD group than in the healthy group.
UNASSIGNED: CogEvo can detect specific cognitive impairments associated with COPD, suggesting that it can be potentially used as a screening tool for cognitive impairment in older patients with COPD.

School children are in a developmental period in which permanent teeth replace primary dentition. It is also a period with a high incidence of gingivitis and caries, which can be improved with adequate tooth brushing. Advances in information technology have led to the development of smart health devices that assist in tooth brushing. We compared the effectiveness of computer-assisted toothbrushing using a toothbrushing instruction (TBI) method called the smart toothbrush and smart mirror (STM) system with that of conventional TBI (verbal instructions) for plaque control in school children.
This randomized controlled clinical trial analyzed and compared the reduction of the modified Quigley-Hein plaque index between the two methods in 42 school children. The participants were randomly assigned to the STM system group (n = 21) or conventional-TBI group (n = 21). The plaque indices were evaluated at baseline, immediately after TBI (day 0), and 1 week and 1 month after TBI.
The STM system and conventional TBI led to an average reduction of 40.50% and 40.57%, respectively, in whole mouth plaque. Reductions in the plaque indices within each tested time period were observed in both groups (P < 0.001), and the mean plaque reduction did not differ between the two groups (P = 0.44).
The present study tested a computer assisted system for TBI, more studies are needed to confirm its usefulness in different objectives. Clinical relevance The computer-assisted STM system may be an alternative of TBI for children. Trial registration ClinicalTrials.gov (NCT04627324) Registered 13/11/2020-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04627324 .

OBJECTIVE: To develop a mobile-based multimedia Nursing Competency Evaluation (NCE) system based on the Attention, Relevance, Confidence, Satisfaction model and verify its effectiveness.
BACKGROUND: In education, mobile devices can enable the delivery of learning content without time and spatial constraints. Mobile-based test is emerging as a novel method using technologies to appraise students\' performance on practicum. This mobile-based test go beyond the simple evaluation of memorised knowledge, a limitation common to paper-based tests. They are useful because they can include multimedia items such as videos, animations and pictures to comprehensively evaluate students\' clinical competencies.
METHODS: This study was conducted in a nursing university in Seoul, South Korea in September 2021. A mixed method randomised controlled design was employed to evaluate its usability. The participants in the experimental group used the Nursing Competency Evaluation system and joined in focus group interviews for verifying the effects of the Nursing Competency Evaluation system qualitatively. Those in the control group responded to the mobile-based test, but which has only text-based test items. The system usability, effectiveness and learning satisfaction in both groups were measured after the mobile-based test experience. Quantitative and qualitative data were analysed using t-tests and thematic analysis using focus group interviews, respectively.
RESULTS: Sixty nursing students participated, with 30 each in the experimental and control groups. There were no significant differences in nursing competency scores between the two groups. However, average scores for effectiveness and learning satisfaction were significantly higher in the experimental than in the control group. Nineteen experimental group participants partook in the interviews, with many describing that the Nursing Competency Evaluation system allowed them to experience new learning contents and efficiently learn practical nursing skills that can be useful in clinical settings.
CONCLUSIONS: The Nursing Competency Evaluation system is a promising method because it used mobile technologies and multimedia to appraise students\' performance on nursing practicum. It was found that the Nursing Competency Evaluation system with multimedia items is more realistic, interactive and satisfactory compared with text-based mobile test. Thus, we expect it to be used in future nursing curriculums to improve students\' nursing competencies.

BACKGROUND: The COVID-19 pandemic caused a critical public health crisis worldwide, and policymakers are using lockdowns to control the virus. However, there has been a noticeable increase in aggressive social behaviors that threaten social stability. Lockdown measures might negatively affect mental health and lead to an increase in aggressive emotions. Discovering the relationship between lockdown and increased aggression is crucial for formulating appropriate policies that address these adverse societal effects. We applied natural language processing (NLP) technology to internet data, so as to investigate the social and emotional impacts of lockdowns.
OBJECTIVE: This research aimed to understand the relationship between lockdown and increased aggression using NLP technology to analyze the following 3 kinds of aggressive emotions: anger, offensive language, and hate speech, in spatiotemporal ranges of tweets in the United States.
METHODS: We conducted a longitudinal internet study of 11,455 Twitter users by analyzing aggressive emotions in 1,281,362 tweets they posted from 2019 to 2020. We selected 3 common aggressive emotions (anger, offensive language, and hate speech) on the internet as the subject of analysis. To detect the emotions in the tweets, we trained a Bidirectional Encoder Representations from Transformers (BERT) model to analyze the percentage of aggressive tweets in every state and every week. Then, we used the difference-in-differences estimation to measure the impact of lockdown status on increasing aggressive tweets. Since most other independent factors that might affect the results, such as seasonal and regional factors, have been ruled out by time and state fixed effects, a significant result in this difference-in-differences analysis can not only indicate a concrete positive correlation but also point to a causal relationship.
RESULTS: In the first 6 months of lockdown in 2020, aggression levels in all users increased compared to the same period in 2019. Notably, users under lockdown demonstrated greater levels of aggression than those not under lockdown. Our difference-in-differences estimation discovered a statistically significant positive correlation between lockdown and increased aggression (anger: P=.002, offensive language: P<.001, hate speech: P=.005). It can be inferred from such results that there exist causal relations.
CONCLUSIONS: Understanding the relationship between lockdown and aggression can help policymakers address the personal and societal impacts of lockdown. Applying NLP technology and using big data on social media can provide crucial and timely information for this effort.

UNASSIGNED: Gaming disorders have increased over time due to easy availability of online gaming. The aim of this study is to determine the factors influencing the gaming disorders.
UNASSIGNED: An online questionnaire was circulated on gaming platforms for the assessment as per IGD-20 and DSM-5 criteria.
UNASSIGNED: A significant correlation was found between duration of play and gaming disorders (r = 0.131, P < 0.05). The scores were concurrent as per IGD-20 and DSM-5 criteria.
UNASSIGNED: Undiagnosed gaming disorder among gamers needs to be addressed. Duration of playing of games also needs to be checked to reduce the prevalence of gaming disorders.