Exercise Status and Risk of Smartphone Addiction
Description
The study collected data from 701 participants, including 392 exercisers and 309 non-exercisers, to examine the relationship between exercise, smartphone addiction (SA), deprivation symptoms, and daily screen time. SA was measured using the Smartphone Application-Based Addiction Scale, while withdrawal symptoms were assessed with the Hungarian Smartphone Withdrawal Symptom Scale. Participants also self-reported their daily smartphone use. The analysis revealed that exercise status did not significantly impact SA, deprivation symptoms, or screen time, but the association between SA and screen time was stronger in non-exercisers. Additionally, gender and age were key factors, with females and younger individuals reporting higher SA, greater deprivation symptoms, and increased smartphone use.
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Steps to reproduce
To replicate this study, researchers should begin by clearly defining their research objectives, focusing on the relationship between exercise, smartphone addiction (SA), smartphone deprivation, and daily screen time, while also assessing gender and age as potential risk factors. Next, they should recruit a diverse sample of participants, aiming for approximately 700 individuals, ensuring a balanced representation of exercisers and non-exercisers based on predefined criteria. Once the sample is established, data collection should include validated measures of SA, such as the Smartphone Application-Based Addiction Scale (SABAS), and smartphone deprivation, using the Hungarian Smartphone Withdrawal Symptom Scale or similar in another language. Participants should also self-report their daily smartphone screen time, along with demographic information, including age, gender, and exercise status. A cross-sectional survey design should be employed, either online or through paper questionnaires. For data analysis, researchers should conduct a Multivariate Analysis of Covariance (MANCOVA) to examine the effects of exercise status, gender, and age on SA, deprivation symptoms, and screen time. Additionally, they should compare the strength of the relationship between SA and screen time in exercisers versus non-exercisers, while also testing for significant differences between genders and age groups. Finally, findings should be interpreted in comparison to prior research, highlighting implications, limitations, and potential directions for future studies.