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Field: Digital Mental Health Interventions

Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress

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Mohammed A. Mamun, Md. Sharif Hossain, Abu Bakkar Siddique, Md. Tajuddin Sikder et al.

Asian Journal of Psychiatry
Journal:
Year: 2019
Citations: 119

Problematic Internet Use (PIU) has become a concern for public mental health across the globe. However, there are few studies assessing PIU in Bangladesh. The present cross-sectional study estimated the prevalence rate of PIU and its associated risk factors among 405 university students in Banglades...

Social SciencesSociology and Political ScienceImpact of Technology on Adolescents
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Prevalence of anxiety and depression in South Asia during COVID-19: A systematic review and meta-analysis

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Md Mahbub Hossain, Mariya Rahman, Nusrat Fahmida Trisha, Samia Tasnim et al.

Journal: HeliyonYear: 2021Citations: 117

INTRODUCTION: The COVID-19 pandemic has impacted biopsychosocial health and wellbeing globally. Pre-pandemic studies suggest a high prevalence of common mental disorders, including anxiety and depression in South Asian countries, which may aggravate during this pandemic. This systematic meta-analyti...

Social SciencesPsychologyClinical PsychologyOpen Access
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Social and electronic media exposure and generalized anxiety disorder among people during COVID-19 outbreak in Bangladesh: A preliminary observation

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Md. Tanvir Hossain, Benojir Ahammed, Sanjoy Kumar Chanda, Nusrat Jahan et al.

Journal: PLoS ONEYear: 2020Citations: 107

Classified as a pandemic by the World Health Organization, the novel Coronavirus Disease (COVID-19) has spread to Bangladesh since early March of 2020, and people are getting daily updates from the social and electronic media. We aimed at assessing the prevalence of anxiety among Bangladeshi people ...

Social SciencesPsychologyClinical PsychologyOpen Access
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Depression Detection by Analyzing Social Media Posts of User

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Nafiz Al Asad, Md. Appel Mahmud Pranto, Sadia Afreen, Md. Maynul Islam

Year: 2019Citations: 104

Depression is a serious mental health issue for people world-wide irrelevant of their ages, genders and races. In this age of modern communication and technology, people feel more comfortable sharing their thoughts in social networking sites (SNS) almost every day. The objective of this paper is to ...

Social SciencesPsychologySocial Psychology
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Early Depression Detection from Social Network Using Deep Learning Techniques

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Faisal Muhammad Shah, Farzad Ahmed, Sajib Kumar Saha Joy, Sifat Ahmed et al.

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 100

Depression is a psychological disorder that affects over three hundred million humans worldwide. A person who is depressed suffers from anxiety in day-to-day life, which affects that person in the relationship with their family and friends, leading to different diseases and in the worst-case death b...

Social SciencesPsychologySocial Psychology
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Impact of the COVID-19 pandemic on psychosocial health and well-being in South-Asian (World Psychiatric Association zone 16) countries: A systematic and advocacy review from the Indian Psychiatric Society

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Debanjan Banerjee, Mrugesh Vaishnav, TS Sathyanarayana Rao, MSVK Raju et al.

Journal: Indian Journal of PsychiatryYear: 2020Citations: 98

BACKGROUND: Coronavirus disease 2019 (COVID-19) has emerged as a global health threat. The South-Asian (SA) countries have witnessed both the initial brunt of the outbreak as well as the ongoing rise of cases. Their unique challenges in relation to mental health during the pandemic are worth explori...

Social SciencesPsychologyClinical PsychologyOpen Access
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An XAI Based Autism Detection: The Context Behind the Detection

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Milon Biswas, M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun et al.

Journal: Lecture notes in computer scienceYear: 2021Citations: 96
Life SciencesNeuroscienceCognitive Neuroscience
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Digital screen time during the COVID-19 pandemic: a public health concern

Verified

Abida Sultana, Samia Tasnim, Md Mahbub Hossain, Sudip Bhattacharya et al.

Journal: F1000ResearchYear: 2021Citations: 93

<ns5:p> Due to the restrictions imposed to contain the coronavirus disease 2019 (COVID-19) pandemic, different population groups have adapted to varying screen time levels, which may have profound implications on their physical and mental wellbeing <ns5:italic>.</ns5:italic> Several empirical studie...

Social SciencesSociology and Political ScienceImpact of Technology on AdolescentsOpen Access
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Brief Culturally adapted CBT (CaCBT) for depression: A randomized controlled trial from Pakistan

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Farooq Naeem, Mirrat Gul, Muhammad Irfan, Tariq Munshi et al.

Journal: Journal of Affective DisordersYear: 2015Citations: 88

Objectives To determine the efficacy of brief Culturally adapted CBT (CaCBT) for depression when added to Treatment As usual (TAU)-delivered by trained therapists using a manual compared with alone TAU. Methods This was an assessor-blinded, randomised controlled clinical trial. Particpants with a di...

Social SciencesPsychologySocial Psychology
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Prevalence and risk factors of the symptoms of depression, anxiety, and stress during the COVID-19 pandemic in Bangladesh: a systematic review and meta-analysis

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Ismail Hosen, Firoj Al‐Mamun, Mohammed A. Mamun

Journal: Cambridge Prisms Global Mental HealthYear: 2021Citations: 87

Abstract The COVID-19 pandemic affects people's psychological well-being as well as their risk of physical complications. Under the circumstance, it is essential to synthesize the existing evidence on psychological consequences with a view to fostering policymaking. Thus, a systematic attempt was co...

Social SciencesPsychologyClinical PsychologyOpen Access
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Prevalence and Associated Factors of Problematic Smartphone Use During the COVID-19 Pandemic: A Bangladeshi Study

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Ismail Hosen, Firoj Al‐Mamun, Md. Tajuddin Sikder, Amir Zaib Abbasi et al.

Journal: Risk Management and Healthcare PolicyYear: 2021Citations: 86

Background: Problematic smartphone use (PSU) has been increasing hastily in recent decades, and it has become inseparable during the COVID-19 pandemic, especially among the students who are at risk of problematic smartphone use. Therefore, the present study aimed to investigate the prevalence and as...

Social SciencesSociology and Political ScienceImpact of Technology on AdolescentsOpen Access
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DEPTWEET: A typology for social media texts to detect depression severities

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Mohsinul Kabir, Tasnim Ahmed, Md. Bakhtiar Hasan, Md Tahmid Rahman Laskar et al.

Journal: Computers in Human BehaviorYear: 2022Citations: 85

Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data. In this study, we leverage the clinical articulation of depression to build a typology for social media texts for detecting the severity of depression. It emulates the s...

Social SciencesPsychologySocial PsychologyOpen Access
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Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review

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Farzana Yasmin, Bilkis Banu, Supratman Zakir, Rainer Sauerborn et al.

Journal: BMC Medical Informatics and Decision MakingYear: 2016Citations: 84

BACKGROUND: Chronic diseases have emerged as a serious threat for health, as well as for global development. They endenger considerably increased health care costs and diminish the productivity of the adult population group and, therefore, create a burden on health, as well as on the global economy....

Health SciencesHealth ProfessionsGeneral Health ProfessionsOpen Access
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Investigating the prevalence of and factors associated with depressive symptoms among urban and semi-urban school adolescents in Bangladesh: a pilot study

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Afifa Anjum, Sahadat Hossain, Md. Tajuddin Sikder, Md. Elias Uddin et al.

Journal: International HealthYear: 2019Citations: 82

BACKGROUND: Adolescent depression is an alarming issue for Bangladesh since a large number of Bangladeshi adolescents suffer from depression but cannot get proper treatment. This study aimed to investigate the prevalence of depression and factors associated with this psychological health hazard amon...

Social SciencesPsychologyClinical PsychologyOpen Access
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ACCU3RATE: A mobile health application rating scale based on user reviews

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Milon Biswas, Marzia Hoque Tania, M. Shamim Kaiser, Russell Kabir et al.

Journal: PLoS ONEYear: 2021Citations: 81

BACKGROUND: Over the last decade, mobile health applications (mHealth App) have evolved exponentially to assess and support our health and well-being. OBJECTIVE: This paper presents an Artificial Intelligence (AI)-enabled mHealth app rating tool, called ACCU3RATE, which takes multidimensional measur...

Health SciencesHealth ProfessionsGeneral Health ProfessionsOpen Access
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