A Nagel1, A Jungert, A Spinneker, M Neuhäuser-Berthold. 1. Dr. Monika Neuhäuser-Berthold, Institute of Nutritional Science, Justus-Liebig-University, Goethestrasse 55, D-35390 Giessen, Germany; Email: Monika.Neuhaeuser-Berthold@ernaehrung.uni-giessen.de; Tel.: +49 641 99 39067; Fax: +49 641 99 39069.
Abstract
OBJECTIVES: Ageing has been associated with increasing multimorbidity. This study investigated whether the number of diseases is a predictor of resting metabolic rate (RMR) and its long-term changes in community-dwelling elderly women. SUBJECTS AND DESIGN: Cross-sectional and longitudinal data, obtained over ten years with repeated follow-ups, from 180 women aged 60 - 86 years and with a BMI of 18 - 43 kg/m2 at baseline were analyzed. MEASUREMENTS: RMR was measured using indirect calorimetry and body composition by bioelectrical impedance analysis. Diagnosed diseases were assessed by a questionnaire comprising 23 disease categories. Subjects with 0 - 2 diseases were classified as relatively healthy and with > 2 diseases as multimorbid. RESULTS: At baseline, relatively healthy (N = 75) and multimorbid (N = 105) women did not differ in RMR. During the ten-year follow-up, the median (range) number of diseases increased from 2 (0 - 2) to 4 (0 - 8) in relatively healthy and from 5 (3 - 11) to 7 (3 - 15) in multimorbid women. In the longitudinal analyses, only women who were multimorbid at baseline showed a significant increase in RMR of 31 kJ/d per additional disease (P = 0.015), adjusted for fat-free mass, fat mass, waist circumference and age. CONCLUSION: Increasing multimorbidity in community-dwelling women is associated with an increase in RMR independently of body composition and age.
OBJECTIVES: Ageing has been associated with increasing multimorbidity. This study investigated whether the number of diseases is a predictor of resting metabolic rate (RMR) and its long-term changes in community-dwelling elderly women. SUBJECTS AND DESIGN: Cross-sectional and longitudinal data, obtained over ten years with repeated follow-ups, from 180 women aged 60 - 86 years and with a BMI of 18 - 43 kg/m2 at baseline were analyzed. MEASUREMENTS: RMR was measured using indirect calorimetry and body composition by bioelectrical impedance analysis. Diagnosed diseases were assessed by a questionnaire comprising 23 disease categories. Subjects with 0 - 2 diseases were classified as relatively healthy and with > 2 diseases as multimorbid. RESULTS: At baseline, relatively healthy (N = 75) and multimorbid (N = 105) women did not differ in RMR. During the ten-year follow-up, the median (range) number of diseases increased from 2 (0 - 2) to 4 (0 - 8) in relatively healthy and from 5 (3 - 11) to 7 (3 - 15) in multimorbid women. In the longitudinal analyses, only women who were multimorbid at baseline showed a significant increase in RMR of 31 kJ/d per additional disease (P = 0.015), adjusted for fat-free mass, fat mass, waist circumference and age. CONCLUSION: Increasing multimorbidity in community-dwelling women is associated with an increase in RMR independently of body composition and age.
Authors: M J Müller; J Böttcher; O Selberg; S Weselmann; K H Böker; M Schwarze; A von zur Mühlen; M P Manns Journal: Am J Clin Nutr Date: 1999-06 Impact factor: 7.045
Authors: Marta Zampino; Richard D Semba; Fatemeh Adelnia; Richard G Spencer; Kenneth W Fishbein; Jennifer A Schrack; Eleanor M Simonsick; Luigi Ferrucci Journal: J Gerontol A Biol Sci Med Sci Date: 2020-11-13 Impact factor: 6.053