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Patterns of weight change associated with disease diagnosis in a national sample

BACKGROUND: The incidence and/or diagnosis of a major disease may activate weight change. Patterns of weight change associated with diagnoses have not been systematically documented. METHODS: We use data on adults ages 30+ in the National Health and Nutrition Examination Survey (NHANES) from 1999–20...

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Autores principales: Vierboom, Yana C., Preston, Samuel H., Stokes, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261267/
https://www.ncbi.nlm.nih.gov/pubmed/30475881
http://dx.doi.org/10.1371/journal.pone.0207795
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author Vierboom, Yana C.
Preston, Samuel H.
Stokes, Andrew
author_facet Vierboom, Yana C.
Preston, Samuel H.
Stokes, Andrew
author_sort Vierboom, Yana C.
collection PubMed
description BACKGROUND: The incidence and/or diagnosis of a major disease may activate weight change. Patterns of weight change associated with diagnoses have not been systematically documented. METHODS: We use data on adults ages 30+ in the National Health and Nutrition Examination Survey (NHANES) from 1999–2014. Self-reported current weight and weight one year prior are used to estimate percent weight change in the last year. We use self-reported data on arthritis, diabetes, cancer, cardiovascular disease, liver conditions, and respiratory disease diagnoses to compare weight change among individuals never diagnosed with these conditions, individuals diagnosed 0–1 years ago, and individuals diagnosed 2+ years ago. Multinomial logistic regressions adjust for the presence of multiple conditions. RESULTS: 17.7% of the adult population experienced weight loss of 5.0% or more in the year prior to survey. Individuals diagnosed with any of the conditions were less likely to maintain their weight than those without a diagnosis. Arthritis, diabetes, cancer, cardiovascular disease, and liver conditions were associated with net weight loss, whereas respiratory diseases were associated with higher probabilities of both losing and gaining weight. Among those losing 10% or more, 56.7% had been diagnosed with one of the conditions. Cancer was associated with the highest probability of unintentional weight loss and diabetes with the highest probability of intentional weight loss. CONCLUSIONS: Disease-associated weight changes leave a distinct imprint on patterns of weight change in the population. Individuals losing at least 10% of their weight in the last year have likely been diagnosed with one of the six conditions.
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spelling pubmed-62612672018-12-06 Patterns of weight change associated with disease diagnosis in a national sample Vierboom, Yana C. Preston, Samuel H. Stokes, Andrew PLoS One Research Article BACKGROUND: The incidence and/or diagnosis of a major disease may activate weight change. Patterns of weight change associated with diagnoses have not been systematically documented. METHODS: We use data on adults ages 30+ in the National Health and Nutrition Examination Survey (NHANES) from 1999–2014. Self-reported current weight and weight one year prior are used to estimate percent weight change in the last year. We use self-reported data on arthritis, diabetes, cancer, cardiovascular disease, liver conditions, and respiratory disease diagnoses to compare weight change among individuals never diagnosed with these conditions, individuals diagnosed 0–1 years ago, and individuals diagnosed 2+ years ago. Multinomial logistic regressions adjust for the presence of multiple conditions. RESULTS: 17.7% of the adult population experienced weight loss of 5.0% or more in the year prior to survey. Individuals diagnosed with any of the conditions were less likely to maintain their weight than those without a diagnosis. Arthritis, diabetes, cancer, cardiovascular disease, and liver conditions were associated with net weight loss, whereas respiratory diseases were associated with higher probabilities of both losing and gaining weight. Among those losing 10% or more, 56.7% had been diagnosed with one of the conditions. Cancer was associated with the highest probability of unintentional weight loss and diabetes with the highest probability of intentional weight loss. CONCLUSIONS: Disease-associated weight changes leave a distinct imprint on patterns of weight change in the population. Individuals losing at least 10% of their weight in the last year have likely been diagnosed with one of the six conditions. Public Library of Science 2018-11-26 /pmc/articles/PMC6261267/ /pubmed/30475881 http://dx.doi.org/10.1371/journal.pone.0207795 Text en © 2018 Vierboom et al http://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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vierboom, Yana C.
Preston, Samuel H.
Stokes, Andrew
Patterns of weight change associated with disease diagnosis in a national sample
title Patterns of weight change associated with disease diagnosis in a national sample
title_full Patterns of weight change associated with disease diagnosis in a national sample
title_fullStr Patterns of weight change associated with disease diagnosis in a national sample
title_full_unstemmed Patterns of weight change associated with disease diagnosis in a national sample
title_short Patterns of weight change associated with disease diagnosis in a national sample
title_sort patterns of weight change associated with disease diagnosis in a national sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261267/
https://www.ncbi.nlm.nih.gov/pubmed/30475881
http://dx.doi.org/10.1371/journal.pone.0207795
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