Using touchscreen mobile devices—when, where and how: a one-week field study

Alzhrani, Abdullah Muhammad; Johnstone, Kelly; Winkler, Elisabeth; Healy, Geneviève N.; Cook, Margaret

doi:10.1080/00140139.2021.1973577

Cited by 7 publications

(6 citation statements)

References 39 publications

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“…Day-to-day variability in device use is a likely bias equivalent to that established in other areas of behaviour research, such as dietary intake [ 13 , 20 , 21 ]. As with dietary intake, the day-to-day variability may be impacted by participant characteristics such as age and occupational status [ 13 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing electronic device use behaviours in healthy adults: development and evaluation of a novel tool

Fitzpatrick,

Chachay,

Capra

et al. 2024

BMC Public Health

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Background Chronic exposure of the macula to blue light from electronic devices has been identified as a potential macular health concern. The impacts remain poorly investigated as no validated methods to capture usual device use behaviours exist. Purpose The aim of this study was to develop and validate the Electronic Device Use Questionnaire (EDUQ) against multiple 24-h electronic device use diaries in healthy Australian and United Kingdom adults. Methods The EDUQ and diaries were developed to capture device use across categories (television, computer and handheld devices). Over eight weeks 56 Australian and 24 United Kingdom participants completed three questionnaires and eight diaries via online platforms. Tool validity was determined through Bland–Altman plot analysis of mean daily hours of device use between the tools. Results The EDUQ demonstrated poor validity in both cohorts with poor agreement when compared with the diaries. When the device categories were combined, a mean difference between the tools of 1.54 h/day, and 95% limits of agreement between -2.72 h/day and 5.80 h/day was observed in the Australian cohort. Across both cohorts and all device categories the mean differences indicated individuals were more likely to report higher device use through the questionnaire rather than diaries. Conclusions The EDUQ is a novel tool and demonstrated the difficulty for participants of accurately recalling usual behaviour of device use. Poor agreement in reported device use occurred across all device categories. The poor agreement may be related to factors such as memory recall bias, and the number of diaries captured not being reflective of usual use. Future studies should look to address these factors to improve validity of device use capture.

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Section: Methodsmentioning

confidence: 99%

Assessing electronic device use behaviours in healthy adults: development and evaluation of a novel tool

Fitzpatrick,

Chachay,

Capra

et al. 2024

BMC Public Health

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“…In Saudi Arabia, almost 99% of adults own smartphones [ 3 ]. The smartphone is used for communicating, including via social media, accessing information, and entertainment [ 4 ]. There are countless applications for smartphone use, including in the education and health fields.…”

Section: Introductionmentioning

confidence: 99%

The association between smartphone use and sleep quality, psychological distress, and loneliness among health care students and workers in Saudi Arabia

Alzhrani

Aboalshamat²,

Badawoud³

et al. 2023

PLoS ONE

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Background The use of smartphones among the general public and health care practitioners, in particular, is ubiquitous. The aim of this study was to investigate the relationship between smartphone addiction and sleep quality, psychological distress, and loneliness among health care students and workers in Saudi Arabia. Methods This cross-sectional study used an online questionnaire to collect data on smartphone addiction, sleep quality, psychological distress, and loneliness as well as demographic information. Results A total of 773 health care students and workers participated in the study, with an average age of 25.95 ± 8.35, and 59.6% female participants. The study found a positive significant association between smartphone addiction and psychological distress (F(1,771) = 140.8, P < 0.001) and emotional loneliness (F(1,771) = 26.70, P < 0.001). Additionally, a significant negative association between smartphone addiction and sleep quality was found (F(1,771) = 4.208, P = 0.041). However, there was no significant relationship between smartphone addiction and social loneliness (F (1,771) = 0.544, P < 0.461). Conclusion These findings suggest that smartphone addiction has a negative impact on psychological distress, sleep quality, and emotional loneliness among health care students and workers. It is important to promote strategies to reduce smartphone dependency in order to avoid the harmful consequences of smartphone addiction.

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“…1 They allow people to connect instantly with friends and family, as well as provide a wide range of applications for communication and entertainment. 2 Smartphones have gained popularity because of a wide range of functions that allow users to surf the Internet, navigate to places, send emails, playing games, and use social networking sites, such as, Facebook and Twitter. 2 They are portable and easy to use at any time and place.…”

mentioning

confidence: 99%

“…2 Smartphones have gained popularity because of a wide range of functions that allow users to surf the Internet, navigate to places, send emails, playing games, and use social networking sites, such as, Facebook and Twitter. 2 They are portable and easy to use at any time and place. These features have resulted in excessive smartphone use and dependence, particularly among younger generations, which has been termed as smartphone addiction and entails the desire to use a smartphone repeatedly, with the potential to interfere with one's daily activities.…”

mentioning

confidence: 99%

Smartphone addiction and its association with hypertension and quality of sleep among medical students of Northern Border University, Arar, Saudi Arabia

Aftab,

Khyzer

2023

SMJ

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medical students were selected using convenience sampling. Standard procedures were used to estimate the student's height, weight, body mass, and blood pressure. Smartphone addiction was assessed using the Smartphone Original ArticleAddiction Scale-Short Version and sleep quality was assessed using Pittsburgh Sleep Quality Index. Relationships between smartphone addiction, sleep quality, hypertension, and obesity were estimated using multivariate logistic regression. A p<0.05 was viewed as statistically significant.Results: Prevalence rate of smartphone addiction was 36% (39.8% in men and 30.5% in women) and prevalence rate of hypertension was 35.5% (42.4% in men and 25.6% in women). Hypertension showed a significant positive relationship with smartphone addiction (odds ratio [OR]=2.12, 95% confidence interval [CI] =1.034-4.36), poor sleep quality (OR=3.54, 95% CI=1.73-7.22), and obesity (OR=3.03, 95% CI=1.09-8.42). Conclusion:Smartphone addiction has been demonstrated to have a high prevalence among medical undergraduates and has been associated significantly with elevated blood pressure.

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Using touchscreen mobile devices—when, where and how: a one-week field study

Cited by 7 publications

References 39 publications

Assessing electronic device use behaviours in healthy adults: development and evaluation of a novel tool

Assessing electronic device use behaviours in healthy adults: development and evaluation of a novel tool

The association between smartphone use and sleep quality, psychological distress, and loneliness among health care students and workers in Saudi Arabia

Smartphone addiction and its association with hypertension and quality of sleep among medical students of Northern Border University, Arar, Saudi Arabia

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