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Body mass index in nursing home residents during the first year after admission

BACKGROUND: Malnutrition - comprising both undernutrition and overweight - has to be addressed in the medical follow-up of older adults due to the negative consequences for the functional state and general health. Still, little is known about the nutritional state of nursing home (NH) residents, esp...

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Autores principales: Vossius, Corinna, Borda, Miguel G., Lichtwarck, Bjørn, Myhre, Janne, Sollid, May Ingvild Volungholen, Borza, Tom, Feiring, Ingvild Hjorth, Benth, Jūratė Šaltytė, Bergh, Sverre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026511/
https://www.ncbi.nlm.nih.gov/pubmed/36941708
http://dx.doi.org/10.1186/s40795-023-00710-3
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author Vossius, Corinna
Borda, Miguel G.
Lichtwarck, Bjørn
Myhre, Janne
Sollid, May Ingvild Volungholen
Borza, Tom
Feiring, Ingvild Hjorth
Benth, Jūratė Šaltytė
Bergh, Sverre
author_facet Vossius, Corinna
Borda, Miguel G.
Lichtwarck, Bjørn
Myhre, Janne
Sollid, May Ingvild Volungholen
Borza, Tom
Feiring, Ingvild Hjorth
Benth, Jūratė Šaltytė
Bergh, Sverre
author_sort Vossius, Corinna
collection PubMed
description BACKGROUND: Malnutrition - comprising both undernutrition and overweight - has to be addressed in the medical follow-up of older adults due to the negative consequences for the functional state and general health. Still, little is known about the nutritional state of nursing home (NH) residents, especially with respect to weight gain or weight loss after NH admission. Therefore, this study aims to evaluate changes in the body mass index (BMI) during the first year following NH admission, and to explore demographic and clinical characteristics related to BMI changes. METHODS: Data from two prospective studies that recruited participants at NH admission were combined. Demographic and clinical characteristics including the BMI were assessed at baseline and after one year. A linear regression model was estimated to explore the impact of demographic and clinical characteristics on the change in BMI. RESULTS: The study cohort consisted of 1,044 participants with a mean age of 84.3 years (SD7.6) at baseline; 64.2% were female. At baseline, 33% of the NH residents had severe to moderate undernutrition, while 10% were obese. During the first year of their NH stay, residents with severe to moderate undernutrition had an average increase in BMI of 1.3 kg/m(2) (SD 2.2; p < 0.001), while weight changes were either very small or not significant in the other BMI groups. Characteristics related to weight gain were younger age and less agitation. CONCLUSION: Malnutrition is a common health challenge at NH admission, with one third of NH residents being moderately to severely underweight and 10% being obese. However, during the first year of NH stay, there was a favourable development for underweight NH residents, as they increased their BMI, and 43.6% changed to a higher weight classification, while we observed no changes in the BMI in residents with obesity. As NH residents are in the last phase of their lives, interventions to prevent malnutrition or overweight should be initiated while still home-dwelling, and then continued in the nursing homes.
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spelling pubmed-100265112023-03-21 Body mass index in nursing home residents during the first year after admission Vossius, Corinna Borda, Miguel G. Lichtwarck, Bjørn Myhre, Janne Sollid, May Ingvild Volungholen Borza, Tom Feiring, Ingvild Hjorth Benth, Jūratė Šaltytė Bergh, Sverre BMC Nutr Research BACKGROUND: Malnutrition - comprising both undernutrition and overweight - has to be addressed in the medical follow-up of older adults due to the negative consequences for the functional state and general health. Still, little is known about the nutritional state of nursing home (NH) residents, especially with respect to weight gain or weight loss after NH admission. Therefore, this study aims to evaluate changes in the body mass index (BMI) during the first year following NH admission, and to explore demographic and clinical characteristics related to BMI changes. METHODS: Data from two prospective studies that recruited participants at NH admission were combined. Demographic and clinical characteristics including the BMI were assessed at baseline and after one year. A linear regression model was estimated to explore the impact of demographic and clinical characteristics on the change in BMI. RESULTS: The study cohort consisted of 1,044 participants with a mean age of 84.3 years (SD7.6) at baseline; 64.2% were female. At baseline, 33% of the NH residents had severe to moderate undernutrition, while 10% were obese. During the first year of their NH stay, residents with severe to moderate undernutrition had an average increase in BMI of 1.3 kg/m(2) (SD 2.2; p < 0.001), while weight changes were either very small or not significant in the other BMI groups. Characteristics related to weight gain were younger age and less agitation. CONCLUSION: Malnutrition is a common health challenge at NH admission, with one third of NH residents being moderately to severely underweight and 10% being obese. However, during the first year of NH stay, there was a favourable development for underweight NH residents, as they increased their BMI, and 43.6% changed to a higher weight classification, while we observed no changes in the BMI in residents with obesity. As NH residents are in the last phase of their lives, interventions to prevent malnutrition or overweight should be initiated while still home-dwelling, and then continued in the nursing homes. BioMed Central 2023-03-20 /pmc/articles/PMC10026511/ /pubmed/36941708 http://dx.doi.org/10.1186/s40795-023-00710-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Vossius, Corinna
Borda, Miguel G.
Lichtwarck, Bjørn
Myhre, Janne
Sollid, May Ingvild Volungholen
Borza, Tom
Feiring, Ingvild Hjorth
Benth, Jūratė Šaltytė
Bergh, Sverre
Body mass index in nursing home residents during the first year after admission
title Body mass index in nursing home residents during the first year after admission
title_full Body mass index in nursing home residents during the first year after admission
title_fullStr Body mass index in nursing home residents during the first year after admission
title_full_unstemmed Body mass index in nursing home residents during the first year after admission
title_short Body mass index in nursing home residents during the first year after admission
title_sort body mass index in nursing home residents during the first year after admission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026511/
https://www.ncbi.nlm.nih.gov/pubmed/36941708
http://dx.doi.org/10.1186/s40795-023-00710-3
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