Correlation between Smartphone Addiction, Sleep Quality and Physical Activity among Young Adults

Abstract Objectives: We studied the association between objectively-measured smartphone usage and objectively-measured sleep quality and physical activity for seven consecutive days among Hong Kong adolescents and young adults aged 11–25 (n = 357, 67% female).Methods: We installed an app that tracked the subjects’ smartphone usage and had them wear an ActiGraph GT3X accelerometer on their wrist to measure their sleep quality and physical activity level. Smartphone usage data were successfully obtained from 187 participants (52.4%).Results: The participants on average spent 2 hours 46 minutes per day on their smartphone. Multilevel regression showed that, among secondary school students, one minute of daytime smartphone usage was associated with 0.12 minute decrease in total sleeping time that night (p = 0.042, 95% CI: -0.23, -0.007). One minute of bedtime smartphone usage was associated with 0.32 minute increase in wake after sleep onset that night (p = 0.04, 95% CI: 0.02, 0.62). One minute of smartphone usage during sleep was associated with sleep efficiency (β = 0.013%, p = 0.01, 95% CI: 0.003%, 0.023%) and WASO (β=-0.05, p = 0.04, 95% CI: -0.10, -0.005). One minute of daytime smartphone usage was associated with 7.15 steps increase in the number of steps (p = 0.02, 95% CI: 1.02, 13.28) among secondary school students and 3.52 steps increase in the number of steps (p = 0.03, 95% CI: 0.37, 6.66) among university students on the next day.Conclusion: Time spent on smartphone was associated with total sleeping time, the number of steps, and MVPA among Hong Kong adolescents and young adults.

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Relation between endurance of deep cervical flexor muscles and physical activity level, perceived stress, sleep quality, and smartphone addiction

CRANIO® ◽

10.1080/08869634.2020.1724457 ◽

2020 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Hilal Başak Can ◽

Filiz Tuna

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Perceived Stress ◽

Physical Activity Level ◽

Activity Level ◽

Smartphone Addiction ◽

Flexor Muscles

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Visual Display Terminal Syndrome, Sleep Quality and Physical Activity according to Smartphone Addiction in Nursing Students

The Korean Journal of Rehabilitation Nursing ◽

10.7587/kjrehn.2017.100 ◽

2017 ◽

Vol 20 (2) ◽

pp. 100-110

Author(s):

Hee-Jung Kim

Keyword(s):

Physical Activity ◽

Nursing Students ◽

Sleep Quality ◽

Visual Display ◽

Smartphone Addiction ◽

Visual Display Terminal

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Associations between sleep quality and its domains and insufficient physical activity in a large sample of Croatian young adults: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2018-021902 ◽

2018 ◽

Vol 8 (7) ◽

pp. e021902 ◽

Cited By ~ 10

Author(s):

Lovro Štefan ◽

Goran Sporiš ◽

Tomislav Krističević ◽

Damir Knjaz

Keyword(s):

Physical Activity ◽

Young Adults ◽

Sleep Quality ◽

Sleep Disturbances ◽

Smoking Status ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Insufficient Physical Activity

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.

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Objectively-Assessed Physical Activity, Sedentary Behavior, Smartphone Use, and Sleep Patterns Pre- and during-COVID-19 Quarantine in Young Adults from Spain

Sustainability ◽

10.3390/su12155890 ◽

2020 ◽

Vol 12 (15) ◽

pp. 5890 ◽

Cited By ~ 1

Author(s):

Borja Sañudo ◽

Curtis Fennell ◽

Antonio J. Sánchez-Oliver

Keyword(s):

Physical Activity ◽

Young Adults ◽

Sleep Quality ◽

Sedentary Behavior ◽

Vigorous Physical Activity ◽

Sitting Time ◽

Sleep Patterns ◽

Lifestyle Modifications ◽

Smartphone Use ◽

Objectively Measured

This study assessed the effects of COVID-19 home confinement on physical activity, sedentary behavior, smartphone use, and sleep patterns. Data was collected in a sample of 20 young adults (mean age ± SD: 22.6 ± 3.4 years; 55% males) over seven days pre- and during the COVID-19 lockdown. Objective and subjective physical activity (Accelerometer and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), objectively-measured smartphone use (smartphone screen time applications), and objective and subjective sleep (accelerometer and the Pittsburgh Sleep Quality Index, respectively) were assessed. Results revealed significantly greater walking time and mean steps (p < 0.001, d = 1.223 to 1.605), and moderate and vigorous physical activity (p < 0.05, d = 0.568 to 0.616), in the pre- compared with the during-COVID-19 lockdown phase. Additionally, smartphone use (p = 0.009, d = 0.654), sitting time (p = 0.002, d = 1.120), and total sleep (p < 0.004, d = 0.666) were significantly greater in the during- compared with the pre-COVID-19 lockdown phase. Multiple regressions analyses showed associations between physical activity and sedentary behavior and sleep quality. The number of hours sitting per day and moderate-to-vigorous physical activity significantly predicted deep sleep (adj.R2 = 0.46). In conclusion, this study revealed that during the COVID-19 outbreak, behaviors changed, with participants spending less time engaging in physical activity, sitting more, spending more time using the smartphone, and sleeping more hours. These findings may be of importance to make recommendations, including lifestyle modifications during this time.

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