Association between lean mass and dietary protein intake in postmenopausal women

2016 ◽  
Author(s):  
Vladyslav Povoroznyuk ◽  
Nataliia Dzerovych ◽  
Roksolana Povorooznyuk
2016 ◽  
Vol 19 (4) ◽  
pp. 525
Author(s):  
Vladyslav Povoroznyuk ◽  
Nataliia Dzerovych ◽  
Roksolana Povoroznyuk ◽  
Iryna Syzonenko

2019 ◽  
Vol 122 (03) ◽  
pp. 322-330 ◽  
Author(s):  
Eunjin So ◽  
Seul Ki Choi ◽  
Hyojee Joung

AbstractThe present study investigated the association between protein intake and lean mass according to obesity status over a 12-year period. Data on 4412 participants aged 40–69 years were obtained from the Korean Genome and Epidemiology Study. The usual dietary protein intake of these participants was assessed at baseline using a semi-quantitative FFQ. Body composition was measured using bioelectrical impedance analysis at baseline and after a 12-year follow-up. Linear mixed-effects models were used to examine the associations between lean mass after a 12-year follow-up and protein intake at baseline. After adjusting for covariates and lean mass at baseline, comparisons between the highest and lowest tertiles revealed that dietary protein intake was positively associated with lean mass in both men (β = 0·79, P = 0·001) and women (β = 0·28, P = 0·082) after the 12-year period; however, those differences were attenuated after additional adjustment for fat mass at baseline and were stronger in the normal-weight group (men, β = 0·85, P = 0·002; women, β = 0·97, P < 0·001) but were not detected in the obese group. In the obese group, age (men, β = 4·08, P < 0·001; women, β = 2·61, P < 0·001) and regular physical activity (men, β = 0·88, P = 0·054; women, β = 0·76, P < 0·001) were significantly associated with lean mass after 12 years of follow-up. The results of the present study showed that protein intake may contribute to the prevention of ageing-related lean mass loss; however, the impact of this intake may vary depending on obesity status. Therefore, the maintenance of a healthy body weight during ageing through enhanced protein intake is likely to confer health benefits.


2008 ◽  
Vol 87 (1) ◽  
pp. 150-155 ◽  
Author(s):  
Denise K Houston ◽  
Barbara J Nicklas ◽  
Jingzhong Ding ◽  
Tamara B Harris ◽  
Frances A Tylavsky ◽  
...  

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 512-512
Author(s):  
Colleen McKenna ◽  
Amadeo Salvador ◽  
Andrew Askow ◽  
Kevin J.M. Paulussen ◽  
Alexander Keeble ◽  
...  

Abstract Objectives The loss of muscle mass with age increases not only risk of functional impairment, but also development and exacerbation of cardiometabolic disease. While dietary protein intake and habitual resistance exercise are traditional strategies to offset age-related decrements in lean mass, it is important to define the role of other regulatory nutrients in this process. Dietary vitamin D (VD) has received particular interest as muscle vitamin D receptor (VDR) is associated with hypertrophy. Importantly, beyond being a significant source of high-quality protein, animal-based protein foods are also rich in VD. While previous efforts have investigated the provision of protein and/or VD supplements during a resistance training program, the influence of dietary protein composition and diet-derived VD on resistance exercise adaptations remains unknown. Methods Forty-one middle-aged adults (mean ± SD: age 50 ± 8 y, BMI 27 ± 4 kg/m2, M = 19, F = 22) were stratified and randomized to consume either high (1.68 ± 0.26 g/kg/d) or moderate (1.16 ± 0.19 g/kg/d) amounts of animal-based protein during a 10-week dietary counseling-controlled resistance training program. Dietary intake was monitored by biweekly 3d diet records (ASA24). Dual-energy x-ray absorptiometry and muscle biopsies were performed pre- and post-intervention. Total RNA was extracted and reverse-transcribed for muscle gene expression by quantitative polymerase chain reaction. Intervention outcomes and their relationships were analyzed using linear mixed effects models and repeated measures correlation, respectively, by R. Results VDR gene expression increased regardless of condition (P = 0.007; 95% CI: 0.13, 0.84). Upregulation of VDR expression was correlated with gains in appendicular lean mass (r = 0.44; P = 0.011; CI: 0.10, 0.68). While protein intake did not affect VDR expression, animal-based protein diet density (servings/1000 kcal) was modestly correlated with VDR expression (r = 0.42; P = 0.014; CI: 0.08, 0.67). There was no relationship between dietary VD and VDR expression. Conclusions Our results suggests that moderate dietary protein intake is sufficient to support resistance exercise-induced VDR upregulation and lean mass gain in middle-aged adults. Funding Sources Funded in part by the Beef Checkoff. CFM funded by JBT Fellowship, UIUC.


2010 ◽  
Vol 3 ◽  
pp. CMED.S4619 ◽  
Author(s):  
Kristian K. Green ◽  
Jennifer L. Shea ◽  
Sudesh Vasdev ◽  
Edward Randell ◽  
Wayne Gulliver ◽  
...  

Background Increased protein proportions in the diet combined with energy restriction has been shown to enhance weight loss during dietary intervention. It is not known if the beneficial effect of dietary protein exists in the general population under normal living conditions without a negative energy balance. Methods A total of 1834 participants (n = 443 men, n = 1391 women) were recruited from the CODING study. Participants' dietary macronutrient compositions were determined through a Willett FFQ. Body composition variables including percent body fat (%BF), percent trunk fat (%TF), percent total lean mass (%LM), and percent trunk lean mass (%TLM) were determined using DXA. Major confounding factors including age, physical activity levels, total caloric intake, carbohydrate intake, menopausal status, smoking status and medication use were controlled for in all analyses. Results Significant inverse relationships were observed between dietary protein intake (g/kg body weight/day) and weight, waist circumference, waist-to-hip ratio, BMI, %BF, and %TF ( P ≤ 0.001). Significant positive relationships were observed with %LM and %TLM ( P ≤ 0.001). Additionally, significant differences in weight (12.7 kg in men, 11.4 kg in women), BMI (4.1 BMI units in men, 4.2 units in women), and %BF (7.6% in men, 6.0% in women) were observed between low and high dietary protein consuming groups ( P ≤ 0.001). Dietary protein explained 11% of the total variation in %BF in the NL population. Conclusion This study provides strong evidence that higher protein intake, even in the absence of energy restriction, is associated with a more favorable body composition in the general population.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Liset Elstgeest ◽  
Laura Schaap ◽  
Martijn Heymans ◽  
Linda Hengeveld ◽  
Denise Houston ◽  
...  

A lower dietary protein intake has been associated with muscle mass loss, a decline in physical performance and more mobility limitations over time in old age. Current guidelines for protein intake advise ≥ 0.8 g/kg body weight (BW)/d, while experts propose a higher intake for older adults (1.0–1.2 g/kg BW/d), irrespective of sex. It is unknown whether the association between protein intake and loss of muscle mass is different for men and women, and whether there is an optimal protein intake to prevent this loss. Therefore, we investigated the shape of the association between protein intake and change in appendicular lean mass (aLM) over 3 years in community-dwelling older adults, separately for men and women. Data of men (n = 935) and women (n = 1061) aged 70–81 years and participating in the Health, Aging and Body Composition study were used. Dietary protein intake, measured in 1998/1999 using a food frequency questionnaire, was expressed in daily grams of protein per kg adjusted BW (g/kg aBW/d) by using healthy instead of actual BW. aLM was assessed by dual-energy X-ray absorptiometry at baseline and after 3 years. Restricted cubic spline functions with 3 knots in linear regression models were used as well as linear regression analyses. The fit of both models was compared using the likelihood ratio test. All analyses were stratified by sex and adjusted for demographics, lifestyle factors, chronic conditions, height and baseline aLM. Mean (SD) protein intake was 70.8 (26.2) g in men and 61.0 (22.5) g in women, or 0.93 (0.36) and 0.95 (0.36) g/kg aBW/d, respectively. Over 3 years, mean loss of aLM was 0.61 (1.16) kg in men and 0.35 (0.95) kg in women. In both men and women, the likelihood ratio was not significant (P = 0.57 and 0.67, respectively), indicating that the spline regression model did not fit the data better than the linear regression model. In men, the linear model showed no association between protein intake and change in aLM (adjusted B per 0.1 g/kg aBW/d = 18.1, P = 0.34). In women, a higher protein intake was associated with a smaller loss of aLM (adjusted B per 0.1 g/kg aBW/d = 34.5, P = 0.017). This study suggests a linear association between protein intake and 3-year loss of aLM in older women; however, no association was found in older men. Future studies into sex differences in associations with other physical outcomes are needed. For both sexes, an optimal protein intake could not be detected.


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