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Cholesterol and depressive symptoms in older men across time
This study aimed to examine reciprocal relations between cholesterol and depression. We assessed cholesterol and depressive symptoms twice over a 3-year interval, using 842 men from the Veterans Affairs Normative Aging Study (M = 64, standard deviation = 8). Because depressive symptoms were skewed,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193288/ https://www.ncbi.nlm.nih.gov/pubmed/28070358 http://dx.doi.org/10.1177/2055102915592089 |
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author | Nath, Ritwik Jeong, Yu-Jin Igarashi, Heidi Proulx, Jeffrey Aldwin, Carolyn M Spiro, Avron |
author_facet | Nath, Ritwik Jeong, Yu-Jin Igarashi, Heidi Proulx, Jeffrey Aldwin, Carolyn M Spiro, Avron |
author_sort | Nath, Ritwik |
collection | PubMed |
description | This study aimed to examine reciprocal relations between cholesterol and depression. We assessed cholesterol and depressive symptoms twice over a 3-year interval, using 842 men from the Veterans Affairs Normative Aging Study (M = 64, standard deviation = 8). Because depressive symptoms were skewed, we used zero-inflated Poisson analyses. Cross-lagged models showed that cholesterol levels at T1 predicted the existence of depressive symptoms at T2, covarying T1 depressive symptoms, age, smoking status, body mass index, and medications. Depressive symptoms at T1 did not predict cholesterol at T2. Low cholesterol levels may be risk factors for development of depressive symptoms in late life. |
format | Online Article Text |
id | pubmed-5193288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-51932882017-01-09 Cholesterol and depressive symptoms in older men across time Nath, Ritwik Jeong, Yu-Jin Igarashi, Heidi Proulx, Jeffrey Aldwin, Carolyn M Spiro, Avron Health Psychol Open Brief Report This study aimed to examine reciprocal relations between cholesterol and depression. We assessed cholesterol and depressive symptoms twice over a 3-year interval, using 842 men from the Veterans Affairs Normative Aging Study (M = 64, standard deviation = 8). Because depressive symptoms were skewed, we used zero-inflated Poisson analyses. Cross-lagged models showed that cholesterol levels at T1 predicted the existence of depressive symptoms at T2, covarying T1 depressive symptoms, age, smoking status, body mass index, and medications. Depressive symptoms at T1 did not predict cholesterol at T2. Low cholesterol levels may be risk factors for development of depressive symptoms in late life. SAGE Publications 2015-06-29 /pmc/articles/PMC5193288/ /pubmed/28070358 http://dx.doi.org/10.1177/2055102915592089 Text en © The Author(s) 2015 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm). |
spellingShingle | Brief Report Nath, Ritwik Jeong, Yu-Jin Igarashi, Heidi Proulx, Jeffrey Aldwin, Carolyn M Spiro, Avron Cholesterol and depressive symptoms in older men across time |
title | Cholesterol and depressive symptoms in older men across time |
title_full | Cholesterol and depressive symptoms in older men across time |
title_fullStr | Cholesterol and depressive symptoms in older men across time |
title_full_unstemmed | Cholesterol and depressive symptoms in older men across time |
title_short | Cholesterol and depressive symptoms in older men across time |
title_sort | cholesterol and depressive symptoms in older men across time |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193288/ https://www.ncbi.nlm.nih.gov/pubmed/28070358 http://dx.doi.org/10.1177/2055102915592089 |
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