Longitudinal changes in energy expenditure in an elderly German population: a 12-year follow-up

• Published in: European journal of clinical nutrition 2009-08, Vol.63 (8), p.986-992
• Main Authors: Lührmann, P M, Bender, R, Edelmann-Schäfer, B, Neuhäuser-Berthold, M
• Format: Article
• Language: English
• Subjects: Activity patterns; Age; Aged; Aging; Aging - metabolism; Basal Metabolism; Bioenergetics; Biological and medical sciences; Body Composition; Body weight; Calorimetry; Calorimetry, Indirect; Clinical Nutrition; Cohort Studies; Energy expenditure; Energy Intake; Energy metabolism; Energy Metabolism - physiology; Epidemiology; Exercise; Exercise for the aged; Feeding. Feeding behavior; Female; Fundamental and applied biological sciences. Psychology; Geriatrics; Germany; Health aspects; Health Surveys; Humans; Internal Medicine; Longitudinal studies; Male; Medical sciences; Medicine; Medicine & Public Health; Metabolic Diseases; Metabolic rate; Metabolism; Middle Aged; Motor Activity; Nutrition; Older people; original-article; Physical activity; Public Health; Rest; Sex Factors; Statistical analysis; Vertebrates: anatomy and physiology, studies on body, several organs or systems; Women
• ISSN: 0954-3007; 1476-5640
• DOI: 10.1038/ejcn.2009.1

Background/Objectives: This study investigates age-dependent changes in different components of energy expenditure (EE) within the longitudinal study on nutrition and health status in an aging population in Giessen, Germany (GISELA). Subjects/Methods: Between 1994 and 2006, data obtained at a total of 3033 visits from 363 women and 153 men with a mean initial age of 67.4±5.9 and 66.9±5.2 years, respectively, were evaluated. The mean duration of follow-up was 8 years. Resting metabolic rate (RMR) was assessed by indirect calorimetry and physical activity patterns were assessed by questionnaire. EE of physical activity and total EE (TEE) were calculated using multipliers for RMR. Energy intake was determined through a validated 3-day estimated dietary record. Linear mixed models were used to analyze the influence of age on EE adjusted for covariates. Results: Resting metabolic rate decreased in women and men by 158 and 326 kJ/d per decade, respectively; after considering changes in body composition and fat distribution, respective decreases were 81 and 286 kJ/d per decade. EE of physical activity decreased similarly in both sexes (472 kJ/d per decade). TEE dropped in women and men by 540 and 823 kJ/d per decade, respectively. No statistically significant changes in energy intake and body weight were observed in the course of follow-up. Conclusions: The age-dependent decrease in TEE is mainly due to a decrease in physical activity. The stable energy intake and body weight of the GISELA subjects may be indicators for a relatively good health status.