Smartphone Addiction Prevalence and Its Association on Academic Performance, Physical Health, and Mental Well-Being among University Students in Umm Al-Qura University (UQU), Saudi Arabia.
Mohammad Saud AlotaibiMim FoxRobyn L ComanZubair Ahmed RatanHassan HosseinzadehPublished in: International journal of environmental research and public health (2022)
Smartphone use can lead to smartphone addiction, which is a growing concern worldwide. However, there are limited studies about smartphone addiction and its impacts on university students in Saudi Arabia. This study aims to fill this gap. This is a quantitative study conducted among undergraduate students in Umm Al-Qura University (UQU), Saudi Arabia from May 2019 and February 2021. Study data were collected using both online and hard copy administered surveys. A self-administered questionnaire, Grade point average, Smartphone Addiction Short Version, and Kessler Psychological Distress scales were used to assess the outcomes. A total of 545 undergraduate students, mostly females, aged ≤ 21 years old and lived with large family sizes. More than half owned a smartphone for 5-8 years and the majority used their smartphone on average 6-11 h per day for social networking (82.6%), entertainment (66.2%) and web surfing (59.6%). Most of the participants were smartphone-addicted (67.0%). Logistic regression analysis showed that age ≤ 21, not gainfully employed, small family size and high family income were the main significant socio-demographic predictors of smartphone addiction. Smartphone-addicted participants were more likely to: have lower academic performance (GPA); be physically inactive; have poor sleep; be overweight/obese; have pain in their shoulder (39.2%), eyes (62.2%) and neck (67.7%) and have a serious mental illness (30.7%). This finding has significant implications for decision makers and suggests that smartphone education focusing on the physical and mental health consequences of smartphone addiction among university students can be beneficial.
Keyphrases
- mental health
- saudi arabia
- mental illness
- physical activity
- healthcare
- public health
- adipose tissue
- type diabetes
- weight loss
- cross sectional
- insulin resistance
- metabolic syndrome
- spinal cord injury
- chronic pain
- optical coherence tomography
- climate change
- deep learning
- machine learning
- health information
- human health
- medical education