Predictors of smartphone addiction and its effect on quality of life: a cross-sectional study among the young adults in Bangladesh.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2025-02-12 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1351955
Zubair Ahmed Ratan, Anne-Maree Parrish, Mohammad Saud Alotaibi, Hassan Hosseinzadeh
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Abstract

The enigma of smartphone addiction (SA) has plagued academics for the last decade, now scholars believed this behaviour might affect physical and mental wellbeing. SA has become a complex problem, yet to date, there is limited research investigating the predictors of SA and its effect on "health-related quality of life (HRQoL)". This study aimed to address this gap. The data was gathered from a convenience sample of 440 young adults completed between July 2021 and February 2022 through online survey in Bangladesh. On Logistic regression, after controlling for socio-demographic variables; friend support, process, social and compulsive usage were determined as significant predictors of SA. Those who were smartphone addicted were more presumably to have a lower quality of life. This study has significant implications for designing prevention pro-grams and policy development in relation to predictors of SA and its effect on HRQoL.

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4.20
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审稿时长
13 weeks
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Predictors of smartphone addiction and its effect on quality of life: a cross-sectional study among the young adults in Bangladesh. Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction. Artificially intelligent nursing homes: a scoping review of palliative care interventions. Designing and developing a prescription digital therapeutic for at-home heart rate variability biofeedback to support and enhance patient outcomes in post-traumatic stress disorder treatment. Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations.
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