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Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students
Depression is a serious but treatable health issue that affects college students at an alarming rate. Improved cardiorespiratory fitness (CRF) decreases depression risk and severity but this relationship has not been fully evaluated in the college student population. Non-exercise estimated CRF (eCRF...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759774/ https://www.ncbi.nlm.nih.gov/pubmed/31620016 http://dx.doi.org/10.3389/fphys.2019.01191 |
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author | Jalene, Sharon Pharr, Jennifer Shan, Guogen Poston, Brach |
author_facet | Jalene, Sharon Pharr, Jennifer Shan, Guogen Poston, Brach |
author_sort | Jalene, Sharon |
collection | PubMed |
description | Depression is a serious but treatable health issue that affects college students at an alarming rate. Improved cardiorespiratory fitness (CRF) decreases depression risk and severity but this relationship has not been fully evaluated in the college student population. Non-exercise estimated CRF (eCRF) could be used to identify students at risk for or suffering from depression. This study investigated the associations of depression and eCRF in college students. Participants (N = 437) completed a survey which included demographic and student-status questions, eCRF variables, and a validated depression instrument. Descriptive, chi-square, t-test, regression, and odds ratio analyses were employed. Depression was associated with low-fitness (X(2) = 4.660, P = 0.031) and eCRF below age-predicted CRF (t = 3.28, P < 0.001). Predictors of increased depression included low-fitness, sexual orientation, current depression treatment, and GPA (R(2) = 0.145–0.159; Adj R(2) = 0.135–0.149). Odd ratio analyses determined that low-fitness increased the risk of reporting depression (β = 2.39, P = 0.017, 95% CI = 1.17–4.872) which remained significant when adjusted (β = 2.478, P = 0.017, 95% CI = 1.175–5.229). Adjusted odds ratio analyses also indicated increased risk of reporting depression for those in a sexual minority (β = 2.582, P = 0.001, 95% CI = 1.44,4.629) and undergoing current depression treatment (β = 2.393, P < 0.001, 95% CI = 2.393–13.043). High levels of fitness did not reduce the odds of reporting depression compared to age predicted CRF. A simple eCRF algorithm can be used to identify college student depression. |
format | Online Article Text |
id | pubmed-6759774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67597742019-10-16 Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students Jalene, Sharon Pharr, Jennifer Shan, Guogen Poston, Brach Front Physiol Physiology Depression is a serious but treatable health issue that affects college students at an alarming rate. Improved cardiorespiratory fitness (CRF) decreases depression risk and severity but this relationship has not been fully evaluated in the college student population. Non-exercise estimated CRF (eCRF) could be used to identify students at risk for or suffering from depression. This study investigated the associations of depression and eCRF in college students. Participants (N = 437) completed a survey which included demographic and student-status questions, eCRF variables, and a validated depression instrument. Descriptive, chi-square, t-test, regression, and odds ratio analyses were employed. Depression was associated with low-fitness (X(2) = 4.660, P = 0.031) and eCRF below age-predicted CRF (t = 3.28, P < 0.001). Predictors of increased depression included low-fitness, sexual orientation, current depression treatment, and GPA (R(2) = 0.145–0.159; Adj R(2) = 0.135–0.149). Odd ratio analyses determined that low-fitness increased the risk of reporting depression (β = 2.39, P = 0.017, 95% CI = 1.17–4.872) which remained significant when adjusted (β = 2.478, P = 0.017, 95% CI = 1.175–5.229). Adjusted odds ratio analyses also indicated increased risk of reporting depression for those in a sexual minority (β = 2.582, P = 0.001, 95% CI = 1.44,4.629) and undergoing current depression treatment (β = 2.393, P < 0.001, 95% CI = 2.393–13.043). High levels of fitness did not reduce the odds of reporting depression compared to age predicted CRF. A simple eCRF algorithm can be used to identify college student depression. Frontiers Media S.A. 2019-09-18 /pmc/articles/PMC6759774/ /pubmed/31620016 http://dx.doi.org/10.3389/fphys.2019.01191 Text en Copyright © 2019 Jalene, Pharr, Shan and Poston. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Jalene, Sharon Pharr, Jennifer Shan, Guogen Poston, Brach Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title | Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title_full | Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title_fullStr | Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title_full_unstemmed | Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title_short | Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students |
title_sort | estimated cardiorespiratory fitness is associated with reported depression in college students |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759774/ https://www.ncbi.nlm.nih.gov/pubmed/31620016 http://dx.doi.org/10.3389/fphys.2019.01191 |
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