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Direct linkTracie Denise Ray – ProQuest LLC, 2021
Adolescents have the highest rate of internet use, when compared to any other age group. The debate about adolescent social media use and its impact on their mental health has sparked research; however, there is a gap in the literature associated with adolescents diagnosed with depression and their use of social media. The purpose of the…
Descriptors: Internet, Depression (Psychology), Social Media, Adolescents
Peer reviewedCohrs, Austin C.; Leslie, Douglas L. – Journal of Autism and Developmental Disorders, 2017
Previous studies showing that Autism Spectrum Disorder (ASD) in children can have secondary effects on the child's parents are limited by small sample sizes and parent self-report. We examined the odds of depression in parents of children with ASD compared to parents of children without ASD using a large national claims database. Mothers (OR 2.95,…
Descriptors: Depression (Psychology), Parent Attitudes, Autism, Pervasive Developmental Disorders
Bonar, Erin E.; Bohnert, Kipling M.; Walters, Heather M.; Ganoczy, Dara; Valenstein, Marcia – Journal of American College Health, 2015
Objective: To compare mental health symptoms and service utilization among returning student and nonstudent service members/veterans (SM/Vs). Participants: SM/Vs (N = 1,439) were predominately white (83%) men (92%), half were over age 30 (48%), and 24% were students. Methods: SM/Vs completed surveys 6 months post deployment (October 2011-July…
Descriptors: Military Personnel, Mental Disorders, Veterans, Symptoms (Individual Disorders)
Tsiouris, John; Mann, Rachel; Patti, Paul; Sturmey, Peter – Journal of Intellectual and Developmental Disability, 2004
Clinicians need to know the likelihood of a condition given a positive or negative diagnostic test. In this study a Bayesian analysis of the Clinical Behavior Checklist for Persons with Intellectual Disabilities (CBCPID) to predict depression in people with intellectual disability was conducted. The CBCPID was administered to 92 adults with…
Descriptors: Bayesian Statistics, Clinical Diagnosis, Predictor Variables, Depression (Psychology)
Wood, Stacey; Cummings, Jeffrey L.; Schnelle, Betha; Stephens, Mary – Gerontologist, 2002
Purpose: This article reviews the effectiveness of a new training program for improving nursing staffs' detection of depression within long-term care facilities. The course was designed to increase recognition of the Minimal Data Set (MDS) Mood Trigger items, to be brief, and to rely on images rather than didactics. Design and Methods: This study…
Descriptors: Health Services, Intervention, Nurses, Patients
