Mobile Phone Dependence and Sleep Quality among Undergraduate Students

2019 ◽  
Vol 13 (3) ◽  
pp. 11
Author(s):  
T Anju Philip ◽  
S Aswathy Krishnan ◽  
Athira Saju ◽  
N Athulya
Keyword(s):  
Sleep Quality ◽  
Mobile Phone ◽  
Undergraduate Students

scholarly journals Relations of Bedtime Mobile Phone Use to Cognitive Functioning, Academic Performance, and Sleep Quality in Undergraduate Students

2020 ◽  
Vol 17 (19) ◽  
pp. 7131
Author(s):  
Darnisha Ragupathi ◽  
Normala Ibrahim ◽  
Kit-Aun Tan ◽  
Beatrice Ng Andrew
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Mobile Phone ◽  
Cognitive Functioning ◽  
Undergraduate Students ◽  
Verbal Memory ◽  
Neuropsychological Test ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Mobile Phone Use

The present cross-sectional study examined the relations of bedtime mobile phone use to cognitive functioning, academic performance, and sleep quality in a sample of undergraduate students. Three hundred eighty-five undergraduate students completed a self-administered questionnaire containing sociodemographic variables, bedtime mobile phone use, the Pittsburgh Sleep Quality Index, and the Cambridge Neuropsychological Test Automated Battery (attention and verbal memory). At bivariate level, increased scores in bedtime mobile phone use were significantly correlated with decreased scores in academic performance and sleep quality. Our multivariate findings show that increased scores in bedtime mobile phone use uniquely predicted decreased scores in academic performance and sleep quality, while controlling for gender, age, and ethnicity. Further untangling the relations of bedtime mobile phone use to academic performance and sleep quality may prove complex. Future studies with longitudinal data are needed to examine the bidirectional effect that bedtime mobile phone use may have on academic performance and sleep quality.

Mobile phone addiction and sleep quality in adolescents: Mediation and moderation analyses

2017 ◽  
Vol 49 (12) ◽  
pp. 1524 ◽  
Author(s):  
Qingqi LIU ◽  
Zongkui ZHOU ◽  
Gengfeng NIU ◽  
Cuiying Fan
Keyword(s):  
Sleep Quality ◽  
Mobile Phone ◽  
Mobile Phone Addiction ◽  
Mediation And Moderation

The potential of using a mobile phone to access the Internet for learning EFL listening skills within a Korean context

ReCALL ◽  
2008 ◽  
Vol 20 (3) ◽  
pp. 331-347 ◽  
Author(s):  
Ki Chune Nah ◽  
Peter White ◽  
Roland Sussex
Keyword(s):  
Foreign Language ◽  
Mobile Phone ◽  
Language Learners ◽  
Undergraduate Students ◽  
The Internet ◽  
Learning Approaches ◽  
Listening Skills ◽  
Wireless Application Protocol ◽  
Positive Attitudes ◽  
Wireless Application

AbstractInterest in the use of a mobile phone to access the Internet for learning English in general, and listening skills in particular, has been increasing in Korea over the last few years. However, there has been only a small number of studies on this topic in Korea. The present paper investigates the potential of using a mobile phone to browse wireless application protocol (WAP) sites for the purpose of learning listening skills. The study focuses specifically on the attitudes of language learners toward using a mobile phone for this purpose. The study is based on input, interaction, output and sociocultural theories, as well as on collaborative, learner-centred, constructivist and task-based learning approaches. An experiment was carried out with a group of undergraduate students who had enrolled in a required intermediate English as a Foreign Language (EFL) listening course at a Korean university. A WAP site was designed and used as the instrument for the experiment. This study found that the language learners expressed positive attitudes towards the use of the WAP site. It also found that the WAP site can be effective for learning listening skills and for student-centred and collaborative learning. Based on the findings, it is clear that WAP sites can be effective for learning listening skills, since they can enhance opportunities to learn language skills, and encourage language learners to participate actively in the learning process.

scholarly journals Chromium speciation in leather samples: an experiment using digital images, mobile phone and environmental concepts

2019 ◽  
Vol 44 (1) ◽  
pp. 62 ◽  
Author(s):  
Vinícius Costa ◽  
Ariane Neiva ◽  
Edenir Pereira-Filho
Keyword(s):  
Mobile Phone ◽  
Undergraduate Students ◽  
Environmental Chemistry ◽  
Digital Images ◽  
Opportunity To Learn ◽  
Process Data ◽  
Simple Method ◽  
Reference Methods ◽  
Vis Spectroscopy ◽  
Significant Difference

This study proposes a new and simple method for Cr speciation and Cr(VI) determination in leather samples using digital images. The experiments were performed using a mobile phone and a free app called PhotoMetrix that was used to obtain and process data. The results obtained from PhotoMetrix were compared to reference methods using UV−Vis spectroscopy. A statistical evaluation between both proposed and the reference methods using two-sample t-test did not show a significant difference at a 95% confidence level. Bovine leather samples (4 samples) tanned with Cr salts and ovine leather samples (3 samples) tanned with vegetable tannin were analyzed. The proposed method presented limits of detection (LOD) and quantification (LOQ) of 0.6 and 2 mg/kg, respectively. In addition, the proposed method using PhotoMetrix and digital images can provide undergraduate students an opportunity to learn topics such as quantitative analyses, environmental chemistry, speciation chemistry, image processing and treatment of statistical data. The results demonstrated that the proposed method can be applied to routine analyses and in experimental analytical chemistry courses.

scholarly journals Association of physical activity with sleep health: A systematic review

2019 ◽  
Vol 23 ◽  
pp. 1-26
Author(s):  
Andrea Wendt ◽  
Thaynã Ramos Flores ◽  
Inácio Crochemore Mohnsam Silva ◽  
Fernando César Wehrmeister
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Undergraduate Students ◽  
Data Extraction ◽  
Activity Measurement ◽  
Poor Sleep ◽  
Long Term Effects ◽  
Sleep Health ◽  
Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

scholarly journals Relationships Between the Usage of Televisions, Computers, and Mobile Phones and the Quality of Sleep in a Chinese Population: Community-Based Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Yao Jie Xie ◽  
Daphne SK Cheung ◽  
Alice Y Loke ◽  
Bernice L Nogueira ◽  
Karry M Liu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Chinese Population ◽  
Cross Sectional Study ◽  
Computer Usage ◽  
Tv Viewing ◽  
Community Based ◽  
Cross Sectional ◽  
Mobile Phone Usage

BACKGROUND No study has comprehensively investigated the association between the usage of typical screen-based electronic media devices and sleep quality in a Chinese population with individuals in a wide range of ages. OBJECTIVE This study aimed to understand the characteristics of television (TV) viewing, computer usage, and mobile phone usage in a representative Chinese population in Macau and to examine their roles in predicting the variations in sleep quality. METHODS This cross-sectional study was an analysis of 1500 Macau residents aged 15 to 90 years based on a community-based health needs assessment study entitled, “Healthy Living, Longer Lives.” Data collection was conducted in 7 districts of Macau from 2017 to 2018 through face-to-face interviews. The durations of daily TV viewing, computer usage, and mobile phone usage were recorded in a self-administered questionnaire. The Chinese version of the Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality. RESULTS The prevalence of TV, computer, and mobile phone usage was 78.4% (1176/1500), 51.6% (769/1490), and 85.5% (1276/1492), respectively. The average daily hours of usage were 1.75 (1.62), 1.53 (2.26), and 2.85 (2.47) hours, respectively. Females spent more time watching TV (<i>P</i>=.03) and using mobile phones (<i>P</i>=.02) and less time on the computer (<i>P</i>=.04) as compared to males. Older adults were more likely to watch TV while young people spent more time using the computer and mobile phones (<i>P</i> for all trends&lt;.001). The mean PSQI global score was 4.79 (2.80) among the participants. Females exhibited significantly higher PSQI scores than males (5.04 vs 4.49, respectively; <i>P</i>&lt;.001). No linear association was observed between the PSQI score and the amount of time spent on the 3 electronic devices (<i>P</i>=.58 for PSQI-TV, <i>P</i>=.05 for PSQI-computer, and <i>P</i>=.52 for PSQI-mobile phone). Curve estimation showed significant quadratic curvilinear associations in PSQI-TV (<i>P</i>=.003) and PSQI-computer (<i>P</i>&lt;.001) among all the participants and in PSQI-mobile phone among youths (age, 15-24 years; <i>P</i>=.04). After adjustment of the gender, age, body mass index, demographics, and lifestyle factors, more than 3 hours of TV viewing and 4 hours of computer usage or mobile phone usage was associated with 85% (95% CI 1.04-1.87; <i>P</i>=.008), 72% (95% CI 1.01-2.92; <i>P</i>=.045), and 53% (95% CI 1.06-2.22; <i>P</i>=.03) greater odds of having poor sleep quality (PSQI score&gt;5), respectively. CONCLUSIONS The mobile phone was the most popular screen-based electronic device used in the Macau population, especially among young people. “J” shape associations were observed between sleep quality and the duration of TV viewing, computer usage, and mobile phone usage, indicating that the extreme use of screen-based electronic devices predicted poorer sleep status, whereas moderate use would be acceptable.

Factors Affecting Mobile Phone Use Among Undergraduate Students in Turkey

2013 ◽  
pp. 234-246
Author(s):  
Ali Acilar
Keyword(s):  
Factor Analysis ◽  
Mobile Phone ◽  
Undergraduate Students ◽  
Mobile Phones ◽  
Young Generation ◽  
Convenience Sample ◽  
Mobile Phone Use ◽  
Factors Affecting ◽  
Sense Of Security ◽  
The World

Mobile phones are one of the fastest-adopted innovations in history. Globally, mobile phones have rapidly become widespread in most parts of the world, especially among the young generation. Young people constitute an important and significant part of mobile phone users. In this study, the author examined the factors affecting mobile phone use among undergraduate students in a developing country. The research data was collected through a convenience sample of undergraduate students in a public university in Turkey. Exploratory factor analysis was used to examine the underlying factors in mobile phone use. Nine factors are identified from the results of factor analysis such as “Information,” “Attitude,” “Mobility,” “Functional service,” “Entertainment/Relaxation,” “Convenience,” “Fashion,” “Sense of security,” and “Multimedia service”.

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