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Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies

BACKGROUND: The impact of body mass index (BMI; kg/m(2)) and waist circumference (WC) on mortality in elderly individuals is controversial and previous research has largely focused on obesity. METHODS: With special attention to the lower BMI categories, associations between BMI and both total and ca...

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Autores principales: Kvamme, Jan-Magnus, Holmen, Jostein, Wilsgaard, Tom, Florholmen, Jon, Midthjell, Kristian, Jacobsen, Bjarne K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368492/
https://www.ncbi.nlm.nih.gov/pubmed/21321065
http://dx.doi.org/10.1136/jech.2010.123232
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author Kvamme, Jan-Magnus
Holmen, Jostein
Wilsgaard, Tom
Florholmen, Jon
Midthjell, Kristian
Jacobsen, Bjarne K
author_facet Kvamme, Jan-Magnus
Holmen, Jostein
Wilsgaard, Tom
Florholmen, Jon
Midthjell, Kristian
Jacobsen, Bjarne K
author_sort Kvamme, Jan-Magnus
collection PubMed
description BACKGROUND: The impact of body mass index (BMI; kg/m(2)) and waist circumference (WC) on mortality in elderly individuals is controversial and previous research has largely focused on obesity. METHODS: With special attention to the lower BMI categories, associations between BMI and both total and cause-specific mortality were explored in 7604 men and 9107 women aged ≥65 years who participated in the Tromsø Study (1994–1995) or the North-Trøndelag Health Study (1995–1997). A Cox proportional hazards model adjusted for age, marital status, education and smoking was used to estimate HRs for mortality in different BMI categories using the BMI range of 25–27.5 as a reference. The impact of each 2.5 kg/m(2) difference in BMI on mortality in individuals with BMI<25.0 and BMI≥25.0 was also explored. Furthermore, the relations between WC and mortality were assessed. RESULTS: We identified 7474 deaths during a mean follow-up of 9.3 years. The lowest mortality was found in the BMI range 25–29.9 and 25–32.4 in men and women, respectively. Mortality was increased in all BMI categories below 25 and was moderately increased in obese individuals. U-shaped relationships were also found between WC and total mortality. About 40% of the excess mortality in the lower BMI range in men was explained by mortality from respiratory diseases. CONCLUSIONS: BMI below 25 in elderly men and women was associated with increased mortality. A modest increase in mortality was found with increasing BMI among obese men and women. Overweight individuals (BMI 25–29.9) had the lowest mortality.
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spelling pubmed-33684922012-06-07 Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies Kvamme, Jan-Magnus Holmen, Jostein Wilsgaard, Tom Florholmen, Jon Midthjell, Kristian Jacobsen, Bjarne K J Epidemiol Community Health Social and Psychosocial Factors and Health BACKGROUND: The impact of body mass index (BMI; kg/m(2)) and waist circumference (WC) on mortality in elderly individuals is controversial and previous research has largely focused on obesity. METHODS: With special attention to the lower BMI categories, associations between BMI and both total and cause-specific mortality were explored in 7604 men and 9107 women aged ≥65 years who participated in the Tromsø Study (1994–1995) or the North-Trøndelag Health Study (1995–1997). A Cox proportional hazards model adjusted for age, marital status, education and smoking was used to estimate HRs for mortality in different BMI categories using the BMI range of 25–27.5 as a reference. The impact of each 2.5 kg/m(2) difference in BMI on mortality in individuals with BMI<25.0 and BMI≥25.0 was also explored. Furthermore, the relations between WC and mortality were assessed. RESULTS: We identified 7474 deaths during a mean follow-up of 9.3 years. The lowest mortality was found in the BMI range 25–29.9 and 25–32.4 in men and women, respectively. Mortality was increased in all BMI categories below 25 and was moderately increased in obese individuals. U-shaped relationships were also found between WC and total mortality. About 40% of the excess mortality in the lower BMI range in men was explained by mortality from respiratory diseases. CONCLUSIONS: BMI below 25 in elderly men and women was associated with increased mortality. A modest increase in mortality was found with increasing BMI among obese men and women. Overweight individuals (BMI 25–29.9) had the lowest mortality. BMJ Group 2011-02-14 2012-07 /pmc/articles/PMC3368492/ /pubmed/21321065 http://dx.doi.org/10.1136/jech.2010.123232 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Social and Psychosocial Factors and Health
Kvamme, Jan-Magnus
Holmen, Jostein
Wilsgaard, Tom
Florholmen, Jon
Midthjell, Kristian
Jacobsen, Bjarne K
Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title_full Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title_fullStr Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title_full_unstemmed Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title_short Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies
title_sort body mass index and mortality in elderly men and women: the tromsø and hunt studies
topic Social and Psychosocial Factors and Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368492/
https://www.ncbi.nlm.nih.gov/pubmed/21321065
http://dx.doi.org/10.1136/jech.2010.123232
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