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Full-Text Articles in Other Psychology

Barriers To Mental Health Seeking Among Army Aviation Personnel: A Preliminary Report, Aric J. Raus Feb 2024

Barriers To Mental Health Seeking Among Army Aviation Personnel: A Preliminary Report, Aric J. Raus

National Training Aircraft Symposium (NTAS)

This research explores barriers to mental health seeking, self-reported symptoms, and perspectives on self-help mental-wellness options among U.S. Army Aviation Personnel. Safe aviation operations require constant focus and mental clarity. These requirements expand when considering the implications and added stress of military operations, especially in combat scenarios. Yet, recent studies demonstrate that aviation personnel avoid seeking healthcare due to fears of losing their medical certification. This report provides preliminary results from the first known study on barriers to mental health seeking among U.S. Army aviation personnel. Utilizing an anonymous survey instrument, facilitated primarily through Social Media recruiting of current and …


The Acute And Persisting Impact Of Covid-19 On Trajectories Of Adolescent Depression: Sex Differences And Social Connectedness, Sabrina R. Liu, Elyssia Poggi Davis, Anton M. Palma, Curt A. Sandman, Laura M. Glynn Nov 2021

The Acute And Persisting Impact Of Covid-19 On Trajectories Of Adolescent Depression: Sex Differences And Social Connectedness, Sabrina R. Liu, Elyssia Poggi Davis, Anton M. Palma, Curt A. Sandman, Laura M. Glynn

Psychology Faculty Articles and Research

Background

The COVID-19 era is a time of unprecedented stress, and there is widespread concern regarding its short- and long-term mental health impact. Adolescence is a sensitive period for the emergence of latent psychopathology vulnerabilities, often activated by environmental stressors. The present study examined COVID-19′s impact on adolescent depression and possible influences of different domains of social connectedness (loneliness, social media use, social video game time, degree of social activity participation).

Methods

A community sample of 175 adolescents (51% boys, mean age = 16.01 years) completed questionnaires once before and twice during the COVID-19 pandemic. Piecewise growth modeling examined the …


A Predictable Home Environment May Protect Child Mental Health During The Covid-19 Pandemic, Laura M. Glynn, Elyssia Poggi Davis, Joan L. Luby, Tallie Z. Baram, Curt A. Sandman Jan 2021

A Predictable Home Environment May Protect Child Mental Health During The Covid-19 Pandemic, Laura M. Glynn, Elyssia Poggi Davis, Joan L. Luby, Tallie Z. Baram, Curt A. Sandman

Psychology Faculty Articles and Research

Objective

Information about the adverse effects of the COVID-19 pandemic on adolescent and adult mental health is growing, yet the impacts on preschool children are only emerging. Importantly, environmental factors that augment or protect from the multidimensional and stressful influences of the pandemic on emotional development of young children are poorly understood.

Methods

Depressive symptoms in 169 preschool children (mean age 4.1 years) were assessed with the Preschool Feelings Checklist during a state-wide stay-at-home order in Southern California. Mothers (46% Latinx) also reported on externalizing behaviors with the Strengths & Difficulties Questionnaire. To assess the role of environmental factors in …


Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae Jul 2019

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …


Depression And Body Mass Index, Differences By Education: Evidence From A Population-Based Study Of Adult Women In The U.S. Buffalo-Niagara Region, Ashley Wendell Kranjac, Jing Nie, Maurizio Trevisan, Jo L. Freudenheim Mar 2016

Depression And Body Mass Index, Differences By Education: Evidence From A Population-Based Study Of Adult Women In The U.S. Buffalo-Niagara Region, Ashley Wendell Kranjac, Jing Nie, Maurizio Trevisan, Jo L. Freudenheim

Sociology Faculty Articles and Research

The relationship between obesity and depression is well described. However, the evidence linking depression and body mass index (BMI) across the broad range of body size is less consistent. We examined the association between depressive symptoms and BMI in a sample of adult women in the Buffalo-Niagara region between 1997 and 2001. Using logistic regression, we investigated whether increased weight status beyond normal-weight was associated with a higher prevalence of depressive symptoms, and if educational attainment modified the association between obesity and depression. There was a trend for increased weight status to be associated with higher depressive symptoms (obese II/III, …


Improving Depression Care For Older Home Health Patients, Sarah R. Schirmer Jan 2015

Improving Depression Care For Older Home Health Patients, Sarah R. Schirmer

DNP Projects

Rates of depression in older home healthcare (HH) patients are highly prevalent. Although depression in this population is associated with increased rates of re-hospitalization, falls, and suicides, it is frequently under diagnosed and under treated. This Capstone Report examined this problem through three interrelated manuscripts. The first manuscript explored the problem through a review of the literature. This review determined that while there are many barriers to adequate depression care, programs that train clinicians to screen for depression and connect patients to depression care encourage adequate evaluation and treatment and can result in clinically significant changes in depression scores. This …