scholarly journals Lower resting and total energy expenditure in postmenopausal compared with premenopausal women matched for abdominal obesity

2014 ◽  
Vol 3 ◽  
Author(s):  
Leanne Hodson ◽  
Karin Harnden ◽  
Rajarshi Banerjee ◽  
Belen Real ◽  
Kyriakoula Marinou ◽  
...  

AbstractThe menopause is accompanied by increased risk of obesity, altered body fat distribution and decreased skeletal muscle mass. The resulting decrease in RMR should be accompanied by a compensatory change in energy balance to avoid weight gain. We aimed to investigate habitual energy intake and expenditure in pre- and postmenopausal women matched for abdominal obesity. We recruited fifty-one healthy Caucasian women, BMI > 18·5 and <35 kg/m2, aged 35–45 years (premenopausal, n 26) and 55–65 years (postmenopausal, n 25). Energy intake was measured using 3 d diet diaries and dietary fat quality assessed using adipose tissue fatty acid biomarkers. RMR was measured using indirect calorimetry, and total energy expenditure (TEE) and activity energy expenditure using a combined accelerometer and heart rate monitor. Postmenopausal women had lower RMR and TEE and spent significantly less time undertaking moderate exercise than premenopausal women. Postmenopausal women had a tendency for a lower energy intake, and a similar macronutrient intake but a significantly lower adipose tissue n-6:n-3 ratio (24·6 (se 1·6) v. 37·7 (se 3·1); P < 0·001). The main lifestyle determinant of bone mineral density (which was significantly lower in postmenopausal women) was TEE for premenopausal women, and dietary n-6:n-3 ratio for postmenopausal women. The present results suggest that weight maintenance is achieved in the post- compared with premenopausal status through a combination of reduced energy intake and reduced TEE in a regimen that compromises micronutrient intake and has a negative impact on lean tissue mass. However, lower n-6:n-3 fatty acid intake in postmenopausal women is associated with greater bone mineral density.

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 674.2-675
Author(s):  
A. Efremova ◽  
N. Toroptsova ◽  
N. Demin ◽  
O. Dobrovolskaya ◽  
O. Nikitinskaya

Background:Chronic inflammatory rheumatic diseases are risk factors of bone loss and fractures. Systemic sclerosis (SSc) has been recognized to be another potential inflammatory joint disease that may affect bone tissue.Objectives:to evaluate bone mineral density (BMD) and risk factors of low BMD in women with SSc.Methods:173 women, among them 110 postmenopausal (median age 60[55,63] years) and 63 premenopausal (median age 35[31,44] years). BMD was measured at lumbar spine (LS), femoral neck (FN) and total hip (TH) by dual energy X-ray absorptiometry (DXA, Hologic 4500A). Low BMD was diagnosed if the T-score was < -1.0 standard deviation (SD) in postmenopausal women and if the Z-score was < -2.0 SD in premenopausal women. The relationship between BMD and SSc patients’ characteristics was evaluated using univariate linear regression analysis.Results:Low BMD was found in 66% patients: 79% - in postmenopausal and 18% - in premenopausal women. Among postmenopausal persons osteoporosis was discovered in 47% and osteopenia – in 32% cases. In postmenopausal woman BMD of LS, FN and TH were associated with body mass index (BMI) (β=0.27, p=0.010; β=0.47, p<0,001 and β=0.45, p<0,001, respectively), duration of glucocorticoids (GCs) using (β=-0.31, p=0.008; β=-0.34, p=0.003 and β=-0.27, p=0.022, respectively); BMD of FN and TH with C-reactive protein (β= -0.32, p=0.016 and β= -0.29, p=0.029, respectively) and LS BMD with current and cumulative GCs dose (β= -0.24, p=0.039 and β= -0.29, p=0.014, respectively). In premenopausal women BMD of LS, FN and TH were associated with BMI (β=0.51, p<0,001; β=0.45, p=0.003 and β=0.47, p=0.002, respectively), duration of GCs using (β= -0.45, p=0.004; β= -0.47, p=0.003 and β= -0.48, p=0.002, respectively) and GCs cumulative dose (β= -0.48, p=0.002; β= -0.51, p=0.001 and β= -0.46, p=0.004, respectively); BMD of FN and TH with 25(ОН)D level (β=0.52, p=0.008 and β=0.54, p=0.005, respectively), and LS BMD with SSc duration (β= -0.44, p=0.004).Conclusion:Low BMD was diagnosed in 66% of women with SSc. Low BMI, GCs cumulative dose and duration of GCs using were independent risk factors for low BMD in both premenopausal and postmenopausal persons. Additional factors as SSc duration and low vitamin D level were found out for premenopausal and current GCs dose and C-reactive protein level for postmenopausal women.Disclosure of Interests:None declared


2005 ◽  
Vol 93 (5) ◽  
pp. 671-676 ◽  
Author(s):  
Colette Montgomery ◽  
John J. Reilly ◽  
Diane M. Jackson ◽  
Louise A. Kelly ◽  
Christine Slater ◽  
...  

Accurate measurement of energy intake (EI) is essential in studies of energy balance in all age groups. Reported values for EI can be validated against total energy expenditure (TEE) measured using doubly labelled water (DLW). Our previous work has indicated that the use of the standardized 24 h multiple pass recall (24 h MPR) method produces slight overestimates of EI in pre-school children which are inaccurate at individual level but acceptable at group level. To extend this work, the current study validated EI by 24 h MPR against TEE by DLW in sixty-three (thirty-two boys) school-aged children (median age 6 years). In both boys and girls, reported EI was higher than TEE, although this difference was only significant in the girls (median difference 420 kJ/d, P=0·05). On analysis of agreement between TEE and EI, the group bias was an overestimation of EI by 250 kJ/d with wide limits of agreement (−2880, 2380 kJ/d). EI was over-reported relative to TEE by 7 % and 0·9 % in girls and boys, respectively. The bias in the current study was lower than in our previous study of pre-school children, suggesting that estimates of EI become less inaccurate as children age. However, the current study suggests that the 24 h MPR is inaccurate at the individual level.


2001 ◽  
Vol 131 (8) ◽  
pp. 2215-2218 ◽  
Author(s):  
Neilann K. Horner ◽  
Johanna W. Lampe ◽  
Ruth E. Patterson ◽  
Marian L. Neuhouser ◽  
Shirley A. Beresford ◽  
...  

2020 ◽  
Vol 37 ◽  
pp. 121-128
Author(s):  
Jessica Ericson ◽  
Lars Lundell ◽  
Mats Lindblad ◽  
Fredrik Klevebro ◽  
Magnus Nilsson ◽  
...  

1993 ◽  
Vol 93 (5) ◽  
pp. 572-579 ◽  
Author(s):  
Alison E Black ◽  
Andrew M Prentice ◽  
Gail R Goldberg ◽  
Susan A Jebb ◽  
Sheila A Bingham ◽  
...  

1999 ◽  
Vol 2 (3a) ◽  
pp. 335-339 ◽  
Author(s):  
Marleen A. Van Baak

AbstractEnergy expenditure rises above resting energy expenditure when physical activity is performed. The activity-induced energy expenditure varies with the muscle mass involved and the intensity at which the activity is performed: it ranges between 2 and 18 METs approximately. Differences in duration, frequency and intensity of physical activities may create considerable variations in total energy expenditure. The Physical Activity Level (= total energy expenditure divided by resting energy expenditure) varies between 1.2 and 2.2–2.5 in healthy adults. Increases in activity-induced energy expenditure have been shown to result in increases in total energy expenditure, which are usually greater than the increase in activity-induced energy expenditure itself. No evidence for increased spontaneous physical activity, measured by diary, interview or accelerometer, was found. However, this does not exclude increased physical activity that can not be measured by these methods. Part of the difference may also be explained by the post-exercise elevation of metabolic rate.If changes in the level of physical activity affect energy balance, this should result in changes in body mass or body composition. Modest decreases of body mass and fat mass are found in response to increases in physical activity, induced by exercise training, which are usually smaller than predicted from the increase in energy expenditure. This indicates that the training-induced increase in total energy expenditure is at least partly compensated for by an increase in energy intake. There is some evidence that the coupling between energy expenditure and energy intake is less at low levels of physical activity. Increasing the level of physical activity for weight loss may therefore be most effective in the most sedentary individuals.


1993 ◽  
Vol 264 (5) ◽  
pp. E706-E711 ◽  
Author(s):  
M. I. Goran ◽  
W. H. Carpenter ◽  
E. T. Poehlman

There is a sparsity of data on energy expenditure in young children. We therefore examined the components of daily energy expenditure in a group of 30 children (16 boys, 14 girls; age 4–6 yr) characterized for body weight, height, heart rate, and body composition from bioelectrical resistance. Total energy expenditure (TEE) was measured over 14 days under free living conditions by doubly labeled water, resting energy expenditure (REE) from indirect calorimetry, and activity energy expenditure was estimated from the difference between TEE and REE. Mean TEE was 1,379 +/- 290 kcal/day, which was 475 +/- 202 kcal/day lower than energy intake recommendations for this age group. Activity-related energy expenditure was estimated to be 267 +/- 203 kcal/day. TEE was most significantly related to fat-free mass (FFM; r = 0.86; P < 0.001), body weight (r = 0.83; P < 0.001), and REE (r = 0.80; P < 0.001). When TEE was adjusted for FFM, a significant correlation with heart rate was observed (partial r = 0.54; P = 0.002). Collectively, 86% of interindividual variation in TEE was accounted for by FFM, heart rate, and REE. We conclude that, in young 4- to 6-yr-old children, 1) TEE is approximately 25% lower than current recommendations for energy intake and 2) combined measurement of FFM, heart rate, and REE explain 86% of interindividual variation in TEE, thus providing a possible alternative method to estimate TEE in young children.


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