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Full-Text Articles in Health Psychology

What Predicts How Safe People Feel In Their Neighborhoods And Does It Depend On Functional Status?, Alfredo J. Velasquez, Jason A. Douglas, Fangqi Guo, Jennifer W. Robinette Sep 2021

What Predicts How Safe People Feel In Their Neighborhoods And Does It Depend On Functional Status?, Alfredo J. Velasquez, Jason A. Douglas, Fangqi Guo, Jennifer W. Robinette

Health Sciences and Kinesiology Faculty Articles

Feeling unsafe in one's neighborhood is related to poor health. Features of the neighborhood environment have been suggested to inform perceptions of neighborhood safety. Yet, the relative contribution of these features (e.g., uneven sidewalks, crime, perceived neighborhood physical disorder) on perceived neighborhood safety, particularly among people with disabilities who may view themselves as more vulnerable, is not well understood. We examined whether sidewalk quality assessed by third party raters, county-level crime rates, and perceived neighborhood disorder would relate to neighborhood safety concerns, and whether functional limitations would exacerbate these links. Using data from the 2012/2014 waves of the Health and …


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) …


Neighborhood Cohesion, Neighborhood Disorder, And Cardiometabolic Risk, Jennifer N. Robinette, Susan T. Charles, Tara Gruenewald Dec 2017

Neighborhood Cohesion, Neighborhood Disorder, And Cardiometabolic Risk, Jennifer N. Robinette, Susan T. Charles, Tara Gruenewald

Psychology Faculty Articles and Research

Perceptions of neighborhood disorder (trash, vandalism) and cohesion (neighbors trust one another) are related to residents’ health. Affective and behavioral factors have been identified, but often in studies using geographically select samples. We use a nationally representative sample (n = 9032) of United States older adults from the Health and Retirement Study to examine cardiometabolic risk in relation to perceptions of neighborhood cohesion and disorder. Lower cohesion is significantly related to greater cardiometabolic risk in 2006/2008 and predicts greater risk four years later (2010/2012). The longitudinal relation is partially accounted for by anxiety and physical activity.


Unequally Distributed Psychological Assets: Are There Social Disparities In Optimism, Life Satisfaction, And Positive Affect?, Julia K. Boehm, Ying Chen, David R. Williams, Carol Ryff, Laura D. Kubzansky Jan 2015

Unequally Distributed Psychological Assets: Are There Social Disparities In Optimism, Life Satisfaction, And Positive Affect?, Julia K. Boehm, Ying Chen, David R. Williams, Carol Ryff, Laura D. Kubzansky

Psychology Faculty Articles and Research

Socioeconomic status is associated with health disparities, but underlying psychosocial mechanisms have not been fully identified. Dispositional optimism may be a psychosocial process linking socioeconomic status with health. We hypothesized that lower optimism would be associated with greater social disadvantage and poorer social mobility. We also investigated whether life satisfaction and positive affect showed similar patterns. Participants from the Midlife in the United States study self-reported their optimism, satisfaction, positive affect, and socioeconomic status (gender, race/ethnicity, education, occupational class and prestige, income). Social disparities in optimism were evident. Optimistic individuals tended to be white and highly educated, had an educated …