Do objective data support the claim that problematic smartphone use has a clinically meaningful impact upon adolescent sleep duration
Bibliographic Data
| ID | 21452425 |
|---|---|
| Authors | Saoirse Mac Cárthaigh (0000-0002-5875-5436, Mary Immaculate College, University of Limerick, Limerick, Ireland, corresponding author), John Perry (0000-0003-4146-1543, Mary Immaculate College, University of Limerick, Limerick, Ireland), John L Perry (0000-0002-7284-9252, University of Limerick), Claire Griffin (0000-0003-2226-355X, Mary Immaculate College, University of Limerick, Limerick, Ireland) |
| Year | 2023 |
| Volume | 42 |
| Issue | 15 |
| Pages | 2626-2638 |
| Publication date | 2023-11-18 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Behaviour and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2022.2136533 |
| OpenAlex | W4306810369 |
| Language | EN |
| Citations received | 3 |
| References cited | 127 |
Sleep insufficiency is a risk factor for mental and physical ill-health. In recent years, research has attributed sleep insufficiency to problematic smartphone use (PSU). In addition, research has indicated a relationship between sleep and the construct of mental toughness (MT). However, previous research exploring the relationship between sleep, PSU and MT has relied on self-report measures. Therefore, this study aimed to explore the tentative links between sleep, PSU and MT by gathering objective data. 2053 participants completed measures of sleep quality, PSU and MT. Objective smartphone usage data were collected using pre-installed smartphone applications. A sub-sample of 614 participants provided sleep duration data from validated sleep tracking devices. In line with previous research, sleep quality was found to correlate weakly with both MT and PSU. While several significant correlations emerged when objective data were explored, in all cases, the effect sizes were negligible. This study does not support the claim that PSU has a clinically meaningful impact upon sleep duration. Sleep hygiene recommendations with more well-established empirical support should be prioritised during sleep promotion efforts
Actigraphy · Construct (python library) · Data collection · Duration (music) · Insomnia · Mental health · Mood · Promotion (chess) · Psychiatry · Sleep (system call) · Sleep hygiene · Sleep patterns · Sleep quality · Clinical Psychology · Computer Science · Impact of Technology on Adolescents · Psychological and Temporal Perspectives Research · Psychology · Sleep and related disorders
Self-Reported and Measured Sleep Duration
Sleep in Adolescents
Psychometric evaluation of the pittsburgh sleep quality index
Short Sleep Duration Among Middle School and High School Students — United States, 2015
National Sleep Foundation’s updated sleep duration recommendations
Association between Puberty and Delayed Phase Preference
In search of lost sleep
Problematic Use of the Mobile Phone
Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes
Do smartphone usage scales predict behavior?
Roles of cyberbullying, sleep, and physical activity in mediating the effects of social media use on mental health and wellbeing among young people in England
Test–retest reliability and validity of the Pittsburgh Sleep Quality Index in primary insomnia
Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness
Quantity and Quality of Sleep and Incidence of Type 2 Diabetes
Protective and risk factors for adolescent sleep
How Are Adolescents Sleeping? Adolescent Sleep Patterns and Sociodemographic Differences in 24 European and North American Countries
Meta-Analysis of Short Sleep Duration and Obesity in Children and Adults
Linear regression and the normality assumption
Resilience in the Face of Adversity
Recommended Amount of Sleep for Pediatric Populations
The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples
G*Power 3
The Pittsburgh sleep quality index
Objectively‐measured and self‐reported smartphone use in relation to surface learning, procrastination, academic productivity, and psychopathology symptoms in college students
Encyclopedia of Survey Research Methods
The relationship between sleep and problematic smartphone use among adolescents
A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use
Physical Activity and Mental Toughness as Antecedents of Academic Burnout among School Students
Do parents’ support behaviours predict whether or not their children get sufficient sleep? A cross-sectional study
The relationship between adolescent academic stress and sleep quality
Mobile data donations
A meta-analysis of the impact of short-term sleep deprivation on cognitive variables
Willingness to Participate in Passive Mobile Data Collection
Stressful life events, personality, and health
Sleep and mental disorders
During early and mid-adolescence, greater mental toughness is related to increased sleep quality and quality of life
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |