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Academic Journal

Trends in mental health problems among Swedish adolescents: Do school-related factors play a role?

Authors : Buli BG; Department of Public Health Sciences, Mälardalen University, Västerås, Sweden.; Larm P

Subjects: Mental Health* ; Social Class*; Male

Source: PloS one [PLoS One] 2024 Mar 08; Vol. 19 (3), pp. e0300294. Date of Electronic Publication: 2024 Mar 08 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Self-reported impact of the COVID-19 pandemic, affective responding, and subjective well-being: A Swedish survey.

Authors : Gröndal M; Department of Psychology, University of Gothenburg, Gothenburg, Sweden.; Ask K

Subjects: COVID-19*/COVID-19*/COVID-19*/epidemiology ; COVID-19*/COVID-19*/COVID-19*/psychology ; Emotions*

Source: PloS one [PLoS One] 2021 Oct 15; Vol. 16 (10), pp. e0258778. Date of Electronic Publication: 2021 Oct 15 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Hooked on virtual social life. Problematic social media use and associations with mental distress and addictive disorders.

Authors : Henzel V; Faculty of Medicine, Dept of Clinical Sciences Lund, Psychiatry, Lund University, Lund, Sweden.; Malmö Addiction Center, Region Skåne, Malmö, Sweden.

Subjects: Behavior, Addictive*/Behavior, Addictive*/Behavior, Addictive*/epidemiology ; Behavior, Addictive*/Behavior, Addictive*/Behavior, Addictive*/psychology ; Internet*

Source: PloS one [PLoS One] 2021 Apr 08; Vol. 16 (4), pp. e0248406. Date of Electronic Publication: 2021 Apr 08 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Predicting mental health problems in adolescence using machine learning techniques.

Authors : Tate AE; Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden.; McCabe RC

Subjects: Mental Health* ; Models, Psychological* ; Support Vector Machine*

Source: PloS one [PLoS One] 2020 Apr 06; Vol. 15 (4), pp. e0230389. Date of Electronic Publication: 2020 Apr 06 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Effectiveness of Mental Health First Aid Training in Sweden. A Randomized Controlled Trial with a Six-Month and Two-Year Follow-Up.

Authors : Svensson, Bengt¹ ; Hansson, Lars¹

Subjects: *MENTAL health; *FIRST aid training; *RANDOMIZED controlled trialsSWEDEN

Source: PLoS ONE. Jun2014, Vol. 9 Issue 6, p1-8. 8p.

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Academic Journal

Evaluation of a screening algorithm using the Strengths and Difficulties Questionnaire to identify children with mental health problems: A five-year register-based follow-up on school performance and healthcare use.

Authors : Wolf RT; CCC2000 Study Group

Subjects: Mental Health/Mental Health/Mental Health/*statistics & numerical data ; Neurodevelopmental Disorders/Neurodevelopmental Disorders/Neurodevelopmental Disorders/*epidemiology; Academic Performance

Source: PloS one [PLoS One] 2019 Oct 23; Vol. 14 (10), pp. e0223314. Date of Electronic Publication: 2019 Oct 23 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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فلترة النتائج

Trends in mental health problems among Swedish adolescents: Do school-related factors play a role?

Self-reported impact of the COVID-19 pandemic, affective responding, and subjective well-being: A Swedish survey.

Hooked on virtual social life. Problematic social media use and associations with mental distress and addictive disorders.

Predicting mental health problems in adolescence using machine learning techniques.

Effectiveness of Mental Health First Aid Training in Sweden. A Randomized Controlled Trial with a Six-Month and Two-Year Follow-Up.

Evaluation of a screening algorithm using the Strengths and Difficulties Questionnaire to identify children with mental health problems: A five-year register-based follow-up on school performance and healthcare use.