Problematic internet use associated with depression, health, and internet-use behaviors among university students of Bangladesh: A cross-sectional study

Sayeed, Abu; Rahman, Hafizur; Hassan, Md. Nazmul; Christopher, Enryka; Kundu, Satyajit; Banna, Md. Hasan Al; Hasan, Al-Riaj; Mallick, Trisha; Meem, Amatul Elah; Hasan, M. Tasdik

doi:10.1016/j.childyouth.2020.105771

Cited by 22 publications

(21 citation statements)

References 48 publications

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“…Similar to the pre-COVID-19 pandemic studies, recently reported PIU prevalence estimates during the pandemic significantly differ, ranging from 4% to 43.8% 34•• , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 . Considering these inconsistencies, it is assumed that cultural differences may also play a role in prevalence estimate discrepancies.…”

Section: Prevalence Of Piu During the Covid-19 Pandemicsupporting

confidence: 72%

Prevalence of problematic Internet use during the coronavirus disease 2019 pandemic

Burkauskas¹,

Gečaitė-Stončienė²,

Demetrovics³

et al. 2022

Current Opinion in Behavioral Sciences

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Section: Prevalence Of Piu During the Covid-19 Pandemicsupporting

confidence: 72%

Prevalence of problematic Internet use during the coronavirus disease 2019 pandemic

Burkauskas¹,

Gečaitė-Stončienė²,

Demetrovics³

et al. 2022

Current Opinion in Behavioral Sciences

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“…Thus, individuals with deep feelings of loneliness seek various ways to avoid these situations and to recoup for their loneliness. These solutions can sometimes lead individuals into difficult situations such as the adoption of undesired habits like severe internet addiction [ 75 ], and that internet addiction is a crucial factor in explaining depression particularly among university students [ 41 , 42 ]. These might be the possible reasons for being depressed due to the experience of loneliness.…”

Section: Discussionmentioning

confidence: 99%

“…In order to investigate the effect of short or long sleep time versus “normal” sleep time, we divided sleep duration into long (9 h or more), normal (7 and 8 h), and short (6 h or less). The categories were also followed by several studies conducted among university students [ 15 , 16 , 41 , 42 ].…”

Section: Methodsmentioning

confidence: 99%

Depressive symptoms associated with loneliness and physical activities among graduate university students in Bangladesh: findings from a cross-sectional pilot study

Kundu

Bakchi

Banna

et al. 2021

Heliyon

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In low-resource settings like Bangladesh, there is a dearth of research on the mental health of university students. This pilot study aimed to identify the prevalence of depressive symptoms, loneliness, and physical activities as well as the associated factors of depressive symptoms among graduate students in a public university of Bangladesh. This cross-sectional study was carried out among 323 graduate students between February 2019 and May 2019. By the convenience sampling technique, data were collected by a pretested, structured questionnaire. Depressive symptoms were assessed by the validated Patient Health Questionnaire-9 (PHQ-9) tool with a cut-off score of ≥10 vs. less; University of California, Los Angeles (UCLA) loneliness scale was applied to assess loneliness, International Physical Activity Questionnaire (IPAQ) scale was used to measure physical activity level. The overall prevalence of depressive symptoms was 52% and about 43% of participants felt most lonely. About 32.8% of students were involved in low physical activity. Being female, from lower income families, having poor academic performance, experiencing shorter sleep time, lower physical activity, and being lonely were potential risk factors for depressive symptoms among graduate university students. A positive correlation was found between loneliness and depressive symptoms of students (r = 0.367, p < 0.001). The higher prevalence of depressive symptoms among Bangladeshi graduate university students suggests the need for situation analysis, confirmatory clinical diagnosis, in-depth qualitative explorations, and large-scale surveys to explore the burden of such disorders and design appropriate low-intensity interventions like implementing student counselling service, offering mental assistance or other mental health support program in the country.

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“…[39][40][41] Moreover, Duradoni et al 42 report that social media addiction measures, both specific (related to overuse of Facebook) and general, correlate with positive (life satisfaction, vitality, happiness, flourishing, positive affect) and negative (negative affect) framed well-being. Therefore, based on the prior theoretical perspective 42 and empirical evidence, 43 which indicates that social networking site addiction and excessive involvement in using social media platforms may induce SMF, it was expected that media fatigue would positively correlate with excessive preoccupation with the Internet.…”

Section: Measuring Smfmentioning

confidence: 99%

A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale

Świątek¹,

Szczęśniak²,

Zhang³

et al. 2021

PRBM

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Background: As social media fatigue is a newly described phenomenon, we do not possess many tools to measure this concept. The main aim of the study was to establish a latent structure of the Social Media Fatigue Scale (SMFS) and to identify whether the Polish version is congruent with the Chinese version. The second aim was to examine whether the factor structure fits the data and yields a comparable goodness-of-fit index. The third aim was to consider the convergent validity of the SMFS and to verify whether tiredness and Internet addiction correlate positively. Methods: The research was conducted on a group of 331 (1st Study) and 379 (2nd Study) adolescents and young adults. It was performed using the SMFS and Internet Addiction Test (IAT). Results: The outcomes suggest that the three-factor structure is the optimal and reliable solution that corresponds to the original SMFS. CFA provided a good fit. All the dimensions of the SMFS correlated positively with Internet addiction. Conclusion:The Polish version of the SMFS presented satisfactory psychometric properties, showing many similarities with the original Chinese version of the SMFS. The findings confirm that excessive use of social media may lead to discomfort and negative emotions related to feeling overwhelmed by information, social interaction overload, and personal/ others' expectations.

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Problematic internet use associated with depression, health, and internet-use behaviors among university students of Bangladesh: A cross-sectional study

Cited by 22 publications

References 48 publications

Prevalence of problematic Internet use during the coronavirus disease 2019 pandemic

Prevalence of problematic Internet use during the coronavirus disease 2019 pandemic

Depressive symptoms associated with loneliness and physical activities among graduate university students in Bangladesh: findings from a cross-sectional pilot study

A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale

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