scholarly journals Macular Carotenoid Supplementation Improves Visual Performance, Sleep Quality, and Adverse Physical Symptoms in Those with High Screen Time Exposure

Foods ◽  
2017 ◽  
Vol 6 (7) ◽  
pp. 47 ◽  
Author(s):  
James Stringham ◽  
Nicole Stringham ◽  
Kevin O’Brien
2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1202-1207
Author(s):  
Pavithra S ◽  
Dheepak Sundar M

To assess dry eye symptoms (DES) and quality of sleep in engineering students during the Covid19 pandemic lockdown and also to assess the association between DES and sleep quality. A cross-sectional questionnaire-based study was carried out among 396 engineering students studying in Saveetha engineering college. The study tool used was a semi-structured google form questionnaire designed for assessing digital device usage, symptoms of dry eye disease and sleep pattern. Responses were analyzed using appropriate statistical tests. Overall 64.1% attained a score of more than 10, indicating the presence of DES. 70.2% of the study population used digital screens for more than 13 hours. A statistically significant association was found between increased screen time and presence of DES(p<0.05). 64.9% had a score of >18 indicating reduced sleep quality. About 77.1% of the students with DES had reduced sleep quality, and a significant association (p<0.01) was observed between the two. During the Covid19 pandemic lockdown, there appears to be rising prevalence of DES in student population, one of the reasons being increased screen time. The sleep quality was also found to be reduced, and a significant association was found between DES and sleep quality.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.


Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.


2022 ◽  
Vol 12 (1) ◽  
pp. 52
Author(s):  
Rita Monteiro ◽  
Sandra Fernandes ◽  
Nuno Rocha

Children’s exposure to screens has been increasing in recent years and so has the concern about its impact on children’s development. This study aims to analyze preschool teachers’ and parents’ views on the influence of screen-time exposure on children’s development. Semi-structured interviews with preschool teachers (n = 9), as well as data from a previous quantitative study, based on an online questionnaire applied to parents of children in preschool (n = 266) were used for data collection. For this study, eminently of qualitative nature, the following dimensions were analyzed: children’s habits of exposure to screens at home, changes in children’s play habits at school, strategies/methodologies used by preschool teachers, use of technologies at school and children’s language development. The results from the study with parents show that screen-time exposure of children is between 1 h to 2 h of television per day, mostly to watch cartoons. Parents also report that most of the children use vocabulary in other languages at home. Most preschool teachers agreed that children are changing their play habits and mainly their behaviors and attitudes, influenced by screen-time exposure. They believe that language development is also changing, mentioning more language problems in children. Changes in pedagogic strategies and specialized training on educational technology are needed to get closer to children’s interests.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A129-A130
Author(s):  
K P Jakubowski ◽  
Y Chang ◽  
E Barinas-Mitchell ◽  
K A Matthews ◽  
P M Maki ◽  
...  

Abstract Introduction Social relationships are important for health. In some relationships, women learn to self-silence, or to inhibit self-expression to avoid conflict or loss. Self-silencing is associated with reported psychiatric and physical symptoms, but no studies have examined whether self-silencing is related to worse sleep or cardiovascular (CV) health. We tested relationships of self-silencing to sleep and carotid plaque in midlife women; secondary analyses examined whether sleep mediated or moderated relationships between self-silencing and plaque. Methods In an ongoing community-based study of nonsmoking women, 304 women aged 40-60 were assessed at baseline; 157 of these women have been assessed 5 years later. At baseline, women reported on self-expression in their current/last intimate relationship via the Silencing the Self Scale. At both visits, women provided self-reports (demographics, medical history, CESD depression, PSQI sleep quality), physical measures, actigraphy (total sleep time [TST], wake after sleep onset [WASO], and efficiency), and carotid artery ultrasound to quantify plaque. Relationships of self-silencing and subscales to sleep (subjective and actigraphic sleep at baseline and averaged across visits) and carotid plaque (0, 1, ≥2) were tested in linear regression and multinomial regression models, respectively, adjusted for demographic and health indices, including depressive symptoms and snoring. Results At baseline, women (72% White) were on average 54 years old; 44% reported poor sleep quality, 46% had plaque (24% score ≥2), and average TST, WASO, and efficiency were 6.2 hrs, 46 min, and 84%, respectively. At baseline, self-silencing (particularly the tendency to judge oneself by external standards) was related to worse sleep quality (p=.001), but better actigraphic WASO (p=.02) and efficiency (p=.02). Self-silencing was related to worse average sleep quality across visits (p=.001). Self-silencing related to higher odds of baseline plaque ≥2 [OR(95% CI)=1.14 (1.02,1.28), p=.02], yet sleep did not explain or moderate this relationship. Conclusion Self-silencing was associated with worse subjective, but better actigraphic sleep at baseline, and with poorer sleep quality over 5 years. Self-silencing related to carotid atherosclerosis, yet sleep did not appear to impact this relationship. Emotional expression is relevant to midlife women’s sleep and CV health. Support R01HL105647, K24123565 (RCT); RF1AG053504 (RCT & PM); T32MH018269 (KPJ)


PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e100914 ◽  
Author(s):  
Qi Feng ◽  
Qing-le Zhang ◽  
Yue Du ◽  
Yong-ling Ye ◽  
Qi-qiang He

Cephalalgia ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 1020-1027 ◽  
Author(s):  
Ilaria Montagni ◽  
Elie Guichard ◽  
Claire Carpenet ◽  
Christophe Tzourio ◽  
Tobias Kurth

Objective The objective of this article is to investigate whether excessive screen time exposure is associated with non-migraine headache and migraine in young adults. Background Increased levels of television time have been associated with increased risk of headache. However, time spent using newer electronic devices with a screen (smartphone, tablet) has not been examined yet. Methods We conducted a cross-sectional study among 4927 participants of the French i-Share cohort. Demographic characteristics, screen time exposure (computers, tablets, smartphones and television) as well as headache/migraine symptoms were recorded in a standardized questionnaire. Multinomial logistic regression models were used to evaluate the association between screen time exposure and headache status. Results Participants had a mean age of 20.8 years and 75.5% were female. The multivariable model showed that students in the highest screen time exposure quintile had an increased risk for migraine. The odds ratio (OR) (95% confidence interval (CI)) was 1.37 (1.14 to 1.66) for migraine when compared with students without headache and with low screen time exposure. This association was somewhat stronger for migraine without aura (OR = 1.50, 95% CI 1.19 to 1.89). We found no significant association between screen time exposure and non-migraine headache. Conclusion High levels of screen time exposure are associated with migraine in young adults. No significant association was found with non-migraine headache.


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