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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智能手机成瘾的预测因素及其对生活质量的影响:孟加拉国年轻人的横断面研究。
在过去的十年里,智能手机成瘾之谜一直困扰着学术界,现在学者们认为这种行为可能会影响身体和心理健康。SA已成为一个复杂的问题,但迄今为止,关于SA的预测因素及其对“健康相关生活质量(HRQoL)”的影响的研究有限。本研究旨在解决这一差距。这些数据是在2021年7月至2022年2月期间通过在线调查在孟加拉国收集的440名年轻人的方便样本中收集的。控制社会人口变量后的Logistic回归朋友支持、过程、社交和强迫性使用被确定为SA的显著预测因子。那些沉迷于智能手机的人更有可能生活质量较低。本研究对设计预防方案和制定与SA预测因子相关的政策及其对HRQoL的影响具有重要意义。
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