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Does the Andersen Behavioral Model of Health Services Use predict college students' use of on-campus mental health services?

Objective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health As... Full description

Journal Title: Journal of American college health 2020, Vol.68 (6), p.631-643
Main Author: Pilar, Meagan R.
Other Authors: Cunningham-Williams, Renee M. , Williams Woodson, Sha-Lai L.
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Taylor & Francis
ID: ISSN: 0744-8481
Link: https://www.ncbi.nlm.nih.gov/pubmed/30958760
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title: Does the Andersen Behavioral Model of Health Services Use predict college students' use of on-campus mental health services?
format: Article
creator:
  • Pilar, Meagan R.
  • Cunningham-Williams, Renee M.
  • Williams Woodson, Sha-Lai L.
subjects:
  • Adolescent
  • Adult
  • Andersen Behavioral Model of Health Services Use
  • At risk populations
  • College campuses
  • College students
  • Female
  • Graduate students
  • Health behavior
  • Health services
  • Health status
  • Humans
  • Male
  • Mental disorders
  • Mental Disorders - diagnosis
  • Mental Health - statistics & numerical data
  • Mental health care
  • Mental health services
  • Mental Health Services - statistics & numerical data
  • Patient Acceptance of Health Care - psychology
  • Patient Acceptance of Health Care - statistics & numerical data
  • service use
  • Student Health Services - statistics & numerical data
  • Students - psychology
  • Students - statistics & numerical data
  • Surveys and Questionnaires
  • United States
  • Universities
  • Variables
  • Young Adult
ispartof: Journal of American college health, 2020, Vol.68 (6), p.631-643
description: Objective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health Association's National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18-35 years (n = 96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen's Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student's decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0744-8481
fulltext: fulltext
issn:
  • 0744-8481
  • 1940-3208
url: Link


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titleDoes the Andersen Behavioral Model of Health Services Use predict college students' use of on-campus mental health services?
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descriptionObjective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health Association's National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18-35 years (n = 96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen's Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student's decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.
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subjectAdolescent ; Adult ; Andersen Behavioral Model of Health Services Use ; At risk populations ; College campuses ; College students ; Female ; Graduate students ; Health behavior ; Health services ; Health status ; Humans ; Male ; Mental disorders ; Mental Disorders - diagnosis ; Mental Health - statistics & numerical data ; Mental health care ; Mental health services ; Mental Health Services - statistics & numerical data ; Patient Acceptance of Health Care - psychology ; Patient Acceptance of Health Care - statistics & numerical data ; service use ; Student Health Services - statistics & numerical data ; Students - psychology ; Students - statistics & numerical data ; Surveys and Questionnaires ; United States ; Universities ; Variables ; Young Adult
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abstractObjective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health Association's National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18-35 years (n = 96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen's Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student's decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.
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