scholarly journals Comparing generalized and specific problematic smartphone/internet use: Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress

2020 ◽  
Vol 9 (2) ◽  
pp. 410-419 ◽  
Author(s):  
I-Hua Chen ◽  
Amir H. Pakpour ◽  
Hildie Leung ◽  
Marc N. Potenza ◽  
Jian-An Su ◽  
...  

AbstractBackground and aimsThe literature has proposed two types of problematic smartphone/internet use: generalized problematic use and specific problematic use. However, longitudinal findings on the associations between the two types of problematic use and psychological distress are lacking among East-Asians. The present study examined temporal associations between both generalized and specific problematic use of the smartphone/internet, and psychological distress.MethodsHong Kong University students (N = 308; 100 males; mean age = 23.75 years; SD ± 5.15) were recruited with follow-ups at three, six, and nine months after baseline assessment. All participants completed the Smartphone Application-Based Addiction Scale (for generalized problematic smartphone/internet use), the Bergen Social Media Addiction Scale (for specific problematic smartphone/internet use), and the Hospital Anxiety and Depression Scale (for psychological distress) in each assessment. Latent growth modeling (LGM) was constructed to understand temporal associations between generalized/specific problematic use and psychological distress.ResultsThe LGM suggested that the intercept of generalized problematic use was significantly associated with the intercept of psychological distress (standardized coefficient [β] = 0.32; P < 0.01). The growth of generalized problematic use was significantly associated with the growth of psychological distress (β = 0.51; P < 0.01). Moreover, the intercept of specific problematic use was significantly associated with the intercept of psychological distress (β = 0.28; P < 0.01) and the growth of psychological distress (β = 0.37; P < 0.01).ConclusionThe initial level of problematic use of smartphone/internet increased the psychological distress among university students. Helping young adults address problematic use of the smartphone/internet may prevent psychological distress.

2021 ◽  
Author(s):  
Ching-Wen Chang ◽  
i hua chen ◽  
Carol Strong ◽  
Yi-Ching Lin ◽  
Meng-Che Tsai ◽  
...  

The causal relationships between problematic internet use and psychological distress remain controversial. The present study investigated the reciprocal relationships between problematic internet use (PIU, i.e., problematic social media use [PSMU], problematic gaming [PG]) and psychological distress (i.e., anxiety, depression). Hong Kong and Taiwan university students (N=645; nmale=266; mean=20.95 years [SD=5.63]) were recruited for a survey study, with follow-ups at three, six, and nine months after baseline assessment. The Bergen Social Media Addiction Scale, Internet Gaming Disorder-Short Form, and the Hospital Anxiety and Depression Scale were used to assess studied variables. Cross-lagged models were constructed to understand the reciprocal relationships between PIU and psychological distress. The level of anxiety significantly impacted the level of PSMU but not in the opposite direction. The level of PSMU significantly impacted the level of depression but not in the opposite direction. In addition, levels of PG and both types of psychological distress had reciprocal impacts on each another. Because PIU can lead to psychological distress, prevention programs on digital health are needed. Moreover, because there is a reciprocity between PG and psychological distress, psychological interventions to break the reciprocal relationship for those with serious PG and psychological distress are warranted.


2020 ◽  
Vol 15 (2) ◽  
pp. 208-219
Author(s):  
Ferahim Yesilyurt ◽  
Nihan Solpuk Turhan

There are many different debates regarding the time spent on Instagram by social media addiction and life satisfaction. In consequence, in this research, it is aimed to reveal the variables that predict the time spent on Instagram by university students. The research is done in accordance with the causal and correlation model by using a quantitative research method. The results of the research are predicted by the time spent on Instagram, gender, age and social media addiction. Time spent on Instagram differentiates in accordance with the level of social media addiction (Sig = 0.00, p < 0.05) but does not differentiate by life satisfaction (Sig = 0.06, p > 0.05). As social media addiction increases, life satisfaction decreases  (r = −0.19). Women spent 0.42 times more time, and the women at the age of 21–22 years spent 0.38 times more time on Instagram. Keywords: Instagram, life satisfaction, social media, addiction.


2021 ◽  
Vol 7 (1) ◽  
pp. 507
Author(s):  
Yesim Avunduk

This study aimed to determine the relationship between leisure satisfaction and social media addiction of university students. The study group of the research was formed by the voluntary participation of 193 students (133 male and 60 female), studying at the School of Physical Education and Sports of Istanbul Gelişim University. In addition to the personal information form, the “Leisure Satisfaction Scale (LSS)” developed by Beard and Raghep (1980) and adapted into Turkish by Gökçe and Orhan (2011), and the “Social Media Addiction Scale (SMAS)” developed by Bakır Ayğar and Uzun (2018) were used as data collection tools. After the data showed normal distribution in the Kolmogrov-Smirnov normality test, t-test, ANOVA and Pearson Correlation test were used in the analysis. The level of significance in the study was set at 0.05. In the research findings; gender and age groups of individuals affect their leisure time satisfaction levels; It has also been found that age groups affect social media addiction. As a result, it was determined that leisure satisfaction levels and social media addiction changed according to various variables of university students, and a negative significant relationship was found between leisure satisfaction and social media addiction.


2021 ◽  
Vol Volum: 3, Issue: 3 (Volum: 3, Issue: 3) ◽  
pp. 239-244
Author(s):  
İlkay Güney Sabancı ◽  
Habib Erensoy ◽  
Melek Gözde Luş

2021 ◽  
Vol 5 (1) ◽  
pp. 1-10
Author(s):  
Jessica Noviana Onggono ◽  
Stefani Virlia

The purpose of this study is to determine whether social comparison can moderate the influence between social media addiction to depression in Instagram user. Hypotesis of this study is social comparison can moderate the influence of social media addiction toward depression in Instagram users. This study is a quantitative research and data are collected using depression scale “Beck Depression Inventory Second Edition”, social media modified scale “Bergen Facebook Addiction Scale”, and social comparison scale “Iowa-Netherlands Comparison Orientation Measure”. The scales were spread across 98 subjects. The result show that social comparison can not moderate the influence of social media addiction towards depression (R2 = 0.045; p = 0.912; p > 0.05), because social comparison are not always negative, so social comparison did not strengthen or weaken the influence of social media addiction toward depression in Instagram users


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