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The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study
BACKGROUND: Osteoarthritis (OA) patients who are overweight or obese report higher levels of pain compared with their normal-weight OA counterparts. Evidence suggests that overweight or obese OA patients also experience pain relief from eating foods high in calories, fat or sugar. Eating to alleviat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pulsus Group Inc
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273714/ https://www.ncbi.nlm.nih.gov/pubmed/24911176 |
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author | Choi, Karmel W Somers, Tamara J Babyak, Michael A Sikkema, Kathleen J Blumenthal, James A Keefe, Francis J |
author_facet | Choi, Karmel W Somers, Tamara J Babyak, Michael A Sikkema, Kathleen J Blumenthal, James A Keefe, Francis J |
author_sort | Choi, Karmel W |
collection | PubMed |
description | BACKGROUND: Osteoarthritis (OA) patients who are overweight or obese report higher levels of pain compared with their normal-weight OA counterparts. Evidence suggests that overweight or obese OA patients also experience pain relief from eating foods high in calories, fat or sugar. Eating to alleviate pain may be problematic because it can lead to additional weight gain, which may contribute to heightened pain. OBJECTIVES: To investigate the relationship between pain and food intake using ecological momentary assessments in a sample of 71 over-weight and obese OA patients. METHODS: Participants completed two consecutive days of diary entries in which they recorded their levels of pain, mood and food intake throughout the day. Data were analyzed using generalized estimating equations that modelled pain as a predictor of calorie, fat and sugar intake. All models were adjusted for sex, body mass index, negative mood, time and treatment history. RESULTS: Pain significantly predicted calorie (Z=2.57; P=0.01) and fat intake (Z=1.99; P=0.05). CONCLUSIONS: Using ecological momentary assessments as a novel approach, the present study provides preliminary data supporting a relationship between pain and food intake among overweight and obese OA patients. Continued advances in our understanding of the relationship between pain and eating behaviour may help to optimize intervention strategies for these patients. |
format | Online Article Text |
id | pubmed-4273714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Pulsus Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-42737142015-01-13 The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study Choi, Karmel W Somers, Tamara J Babyak, Michael A Sikkema, Kathleen J Blumenthal, James A Keefe, Francis J Pain Res Manag Original Article BACKGROUND: Osteoarthritis (OA) patients who are overweight or obese report higher levels of pain compared with their normal-weight OA counterparts. Evidence suggests that overweight or obese OA patients also experience pain relief from eating foods high in calories, fat or sugar. Eating to alleviate pain may be problematic because it can lead to additional weight gain, which may contribute to heightened pain. OBJECTIVES: To investigate the relationship between pain and food intake using ecological momentary assessments in a sample of 71 over-weight and obese OA patients. METHODS: Participants completed two consecutive days of diary entries in which they recorded their levels of pain, mood and food intake throughout the day. Data were analyzed using generalized estimating equations that modelled pain as a predictor of calorie, fat and sugar intake. All models were adjusted for sex, body mass index, negative mood, time and treatment history. RESULTS: Pain significantly predicted calorie (Z=2.57; P=0.01) and fat intake (Z=1.99; P=0.05). CONCLUSIONS: Using ecological momentary assessments as a novel approach, the present study provides preliminary data supporting a relationship between pain and food intake among overweight and obese OA patients. Continued advances in our understanding of the relationship between pain and eating behaviour may help to optimize intervention strategies for these patients. Pulsus Group Inc 2014 /pmc/articles/PMC4273714/ /pubmed/24911176 Text en © 2014, Pulsus Group Inc. All rights reserved This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http://creativecommons.org/licenses/by-nc/4.0/), which permits reuse, distribution and reproduction of the article, provided that the original work is properly cited and the reuse is restricted to noncommercial purposes. For commercial reuse, contact support@pulsus.com |
spellingShingle | Original Article Choi, Karmel W Somers, Tamara J Babyak, Michael A Sikkema, Kathleen J Blumenthal, James A Keefe, Francis J The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title | The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title_full | The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title_fullStr | The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title_full_unstemmed | The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title_short | The relationship between pain and eating among overweight and obese individuals with osteoarthritis: An ecological momentary study |
title_sort | relationship between pain and eating among overweight and obese individuals with osteoarthritis: an ecological momentary study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273714/ https://www.ncbi.nlm.nih.gov/pubmed/24911176 |
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