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Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults
Pain, fatigue, and depression form a well-recognized symptom cluster that is posited to have a shared mechanism. It is possible that chronic psychosocial stressors such as loneliness may impact the central nervous system and immune system, potentially leading to symptom cluster development. Loneline...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681751/ http://dx.doi.org/10.1093/geroni/igab046.3233 |
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author | Powell, Victoria Kumar, Navasuja Kabeto, Mohammed Galecki, Andrzej Clauw, Daniel Silveira, Maria |
author_facet | Powell, Victoria Kumar, Navasuja Kabeto, Mohammed Galecki, Andrzej Clauw, Daniel Silveira, Maria |
author_sort | Powell, Victoria |
collection | PubMed |
description | Pain, fatigue, and depression form a well-recognized symptom cluster that is posited to have a shared mechanism. It is possible that chronic psychosocial stressors such as loneliness may impact the central nervous system and immune system, potentially leading to symptom cluster development. Loneliness is an increasingly recognized type of psychosocial stress, especially among older American adults. Thus, we investigated whether loneliness increased risk of developing the symptom cluster of pain, fatigue, and depression over time. Using Health and Retirement Study data from 2006 – 2016, we examined self-respondents ≥50 years-old for the presence of co-occurring pain, fatigue, and depressive symptoms surpassing threshold levels (ie., the symptom cluster). Loneliness (measured by the 3-item UCLA Loneliness Scale) at baseline was used as the predictor of interest. Of the total sample (n=11,766), n=5,956 (50.6%) had up to two complete sets of follow-up symptom cluster measurements. Logistic regression models for longitudinal data were fitted using a generalized estimating equation (GEE). After adjusting for demographic and clinical variables, loneliness strongly predicted the development of the symptom cluster (adjusted OR=3.16 (95% CI 2.77, 3.61)) as well as each component symptom (pain adjusted OR=1.54 (95% CI 1.42, 1.67); fatigue adjusted OR=1.88 (95% CI 1.74, 2.03); depression adjusted OR = 3.87 (95% CI 3.55, 4.21). Further research should investigate whether interventions targeting loneliness or other psychosocial stressors may have a role in prevention of this symptom cluster. |
format | Online Article Text |
id | pubmed-8681751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86817512021-12-20 Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults Powell, Victoria Kumar, Navasuja Kabeto, Mohammed Galecki, Andrzej Clauw, Daniel Silveira, Maria Innov Aging Abstracts Pain, fatigue, and depression form a well-recognized symptom cluster that is posited to have a shared mechanism. It is possible that chronic psychosocial stressors such as loneliness may impact the central nervous system and immune system, potentially leading to symptom cluster development. Loneliness is an increasingly recognized type of psychosocial stress, especially among older American adults. Thus, we investigated whether loneliness increased risk of developing the symptom cluster of pain, fatigue, and depression over time. Using Health and Retirement Study data from 2006 – 2016, we examined self-respondents ≥50 years-old for the presence of co-occurring pain, fatigue, and depressive symptoms surpassing threshold levels (ie., the symptom cluster). Loneliness (measured by the 3-item UCLA Loneliness Scale) at baseline was used as the predictor of interest. Of the total sample (n=11,766), n=5,956 (50.6%) had up to two complete sets of follow-up symptom cluster measurements. Logistic regression models for longitudinal data were fitted using a generalized estimating equation (GEE). After adjusting for demographic and clinical variables, loneliness strongly predicted the development of the symptom cluster (adjusted OR=3.16 (95% CI 2.77, 3.61)) as well as each component symptom (pain adjusted OR=1.54 (95% CI 1.42, 1.67); fatigue adjusted OR=1.88 (95% CI 1.74, 2.03); depression adjusted OR = 3.87 (95% CI 3.55, 4.21). Further research should investigate whether interventions targeting loneliness or other psychosocial stressors may have a role in prevention of this symptom cluster. Oxford University Press 2021-12-17 /pmc/articles/PMC8681751/ http://dx.doi.org/10.1093/geroni/igab046.3233 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Powell, Victoria Kumar, Navasuja Kabeto, Mohammed Galecki, Andrzej Clauw, Daniel Silveira, Maria Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title | Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title_full | Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title_fullStr | Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title_full_unstemmed | Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title_short | Loneliness Predicts Development of Pain, Fatigue, and Depression in Older Adults |
title_sort | loneliness predicts development of pain, fatigue, and depression in older adults |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681751/ http://dx.doi.org/10.1093/geroni/igab046.3233 |
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