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3Although there is some evidence that total dietary antioxidant capacity (TDAC) is inversely associated with the presence of obesity, no longitudinal studies have been performed investigating the effect of TDAC on comprehensive measures of body composition over time. In this study, we included 4595 middle-aged and elderly participants from the Rotterdam Study, a population-based cohort. We estimated TDAC among these individuals by calculating a ferric reducing ability of plasma (FRAP) score based on data from food-frequency questionnaires. Body composition was assessed by means of dual X-ray absorptiometry at baseline and every subsequent 3-5 years. From these data, we calculated fat mass index (FMI), fat-free mass index (FFMI), android-to-gynoid fat ratio (AGR), body fat percentage (BF%) and body mass index (BMI). We also assessed hand grip strength at two time points and prevalence of sarcopenia at one time point in a subset of participants. Data were analyzed using linear mixed models or multinomial logistic regression models with multivariable adjustment. We found that higher FRAP score was associated with higher FFMI (0.091 kg/m2 per standard deviation (SD) higher FRAP score, 95% CI 0.031; 0.150), lower AGR (-0.028, 95% CI -0.053; -0.003), higher BMI (0.115, 95% CI 0.020; 0.209) and lower BF% (-0.223, 95% CI -0.383; -0.064) across follow-up after multivariable adjustment. FRAP score was not associated with hand grip strength or sarcopenia. Additional adjustment for adherence to dietary guidelines and exclusion of individuals with comorbid disease at baseline did not change our results. In conclusion, dietary intake of antioxidants may positively affect the amount of lean mass and overall body composition among the middle-aged and elderly.
DOCUMENT
Aims: This systematic review and meta-analysis evaluates the additional effect of exercise to hypocaloric diet on body weight, body composition, glycaemic control and cardio-respiratory fitness in adults with overweight or obesity and type 2 diabetes.
Methods: Embase, Medline, Web of Science and Cochrane Central databases were evaluated, and 11 studies were included. Random-effects meta-analysis was performed on body weight and measures of body composition and glycaemic control, to compare the effect of hypocaloric diet plus exercise with hypocaloric diet alone.
Results: Exercise interventions consisted of walking or jogging, cycle ergometer training, football training or resistance training and duration varied from 2 to 52 weeks. Body weight and measures of body composition and glycaemic control decreased during both the combined intervention and hypocaloric diet alone. Mean difference in change of body weight (−0.77 kg [95% CI: −2.03; 0.50]), BMI (−0.34 kg/m2 [95% CI: −0.73; 0.05]), waist circumference (−1.42 cm [95% CI: −3.84; 1.00]), fat-free mass (−0.18 kg [95% CI: −0.52; 0.17]), fat mass (−1.61 kg [95% CI: −4.42; 1.19]), fasting glucose (+0.14 mmol/L [95% CI: −0.02; 0.30]), HbA1c (−1 mmol/mol [95% CI: −3; 1], −0.1% [95% CI: −0.2; 0.1]) and HOMA-IR (+0.01 [95% CI: −0.40; 0.42]) was not statistically different between the combined intervention and hypocaloric diet alone. Two studies reported VO2max and showed significant increases upon the addition of exercise to hypocaloric diet.
Conclusions: Based on limited data, we did not find additional effects of exercise to hypocaloric diet in adults with overweight or obesity and type 2 diabetes on body weight, body composition or glycaemic control, while cardio-respiratory fitness improved.
DOCUMENT
Background: A positive association between obesity based on body mass index (BMI) and periodontitis has been reported. Fat tissue-related systemic inflammation acts as the link to periodontal comorbidities of obesity. However, the BMI is unable to distinguish fat and fat-free tissues. More precise measures are required to evaluate body composition, including fat and fat-free tissues. This study aimed to determine the sex differences in the association between dual-energy x-ray absorptiometry (DXA)-measured body composition (i.e., fat mass and muscle mass) and phenotypes with periodontitis. Methods: Cross-sectional data of 3892 participants from the National Health and Nutrition Examination Survey (NHANES) study 2011‒2014 were analyzed. Adiposity indices (fat mass index [FMI] and percentage body fat [%BF]) and muscle mass index (MMI) were calculated. The participants were categorized by the quintiles of FMI, MMI, and %BF. Body composition phenotypes were categorized as: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM), or high adiposity-high muscle (HA-HM), respectively. Periodontitis was defined by the CDC/AAP (Centers for Disease Control and Prevention/American Academy of Periodontology) criteria. Multivariable logistic regression analysis was conducted, stratified by sex. We further adjusted for white blood cell (WBC) counts in the sensitivity analysis. Results: Restricted cubic splines revealed non-linear associations between body composition indices and periodontitis risk. Women with a higher FMI (odds ratio for Q5 vs. Q1 [ORQ5vs1] = 1.787, 95% confidence interval: 1.209–2.640) or %BF (ORQ5vs1 = 2.221, 1.509–3.268) had increased odds of periodontitis. In addition, women with HA-LM phenotype were more likely to develop periodontitis (OR = 1.528, 1.037–2.252). Interestingly, the WBC count, a systemic inflammatory biomarker, attenuated these associations. No statistically significant associations were found in men. Conclusions: The association between DXA-measured body composition and phenotypes with periodontitis differs per sex. Only in women higher adiposity indices and HA-LM phenotype were associated with an increased risk of periodontitis.
DOCUMENT
Objectives
Body weight and muscle mass loss following an acute hospitalization in older patients may be influenced by malnutrition and sarcopenia among other factors. This study aimed to assess the changes in body weight and composition from admission to discharge and the geriatric variables associated with the changes in geriatric rehabilitation inpatients.
Design
RESORT is an observational, longitudinal cohort.
Setting and Participants
Geriatric rehabilitation inpatients admitted to geriatric rehabilitation wards at the Royal Melbourne Hospital, Melbourne, Australia (N = 1006).
Methods
Changes in body weight and body composition [fat mass (FM), appendicular lean mass (ALM)] from admission to discharge were analyzed using linear mixed models. Body mass index (BMI) categories, (risk of) malnutrition (Global Leadership Initiative on Malnutrition), sarcopenia (European Working Group on Sarcopenia in Older People), dependence in activities of daily living (ADL), multimorbidity, and cognitive impairment were tested as geriatric variables by which the changes in body weight and composition may differ.
Results
A total of 1006 patients [median age: 83.2 (77.7–88.8) years, 58.5% female] were included. Body weight, FM (kg), and FM% decreased (0.30 kg, 0.43 kg, and 0.46%, respectively) and ALM (kg) and ALM% increased (0.17 kg and 0.33%, respectively) during geriatric rehabilitation. Body weight increased in patients with underweight; decreased in patients with normal/overweight, obesity, ADL dependence and in those without malnutrition and sarcopenia. ALM% and FM% decreased in patients with normal/overweight. ALM increased in patients without multimorbidity and in those with malnutrition and sarcopenia; ALM% increased in patients without multimorbidity and with sarcopenia.
Conclusions and Implications
In geriatric rehabilitation, body weight increased in patients with underweight but decreased in patients with normal/overweight and obesity. ALM increased in patients with malnutrition and sarcopenia but not in patients without. This suggests the need for improved standard of care independent of patients’ nutritional risk.
DOCUMENT
The retirement phase is an opportunity to integrate healthy (nutrition/exercise) habits into daily life. We conducted this systematic review to assess which nutrition and exercise interventions most effectively improve body composition (fat/muscle mass), body mass index (BMI), and waist circumference (WC) in persons with obesity/overweight near retirement age (ages 55–70 y). We conducted a systematic review and network meta-analysis (NMA) of randomized controlled trials, searching 4 databases from their inception up to July 12, 2022. The NMA was based on a random effects model, pooled mean differences, standardized mean differences, their 95% confidence intervals, and correlations with multi-arm studies. Subgroup and sensitivity analyses were also conducted. Ninety-two studies were included, 66 of which with 4957 participants could be used for the NMA. Identified interventions were clustered into 12 groups: no intervention, energy restriction (i.e., 500–1000 kcal), energy restriction plus high-protein intake (1.1–1.7 g/kg/body weight), intermittent fasting, mixed exercise (aerobic and resistance), resistance training, aerobic training, high protein plus resistance training, energy restriction plus high protein plus exercise, energy restriction plus resistance training, energy restriction plus aerobic training, and energy restriction plus mixed exercise. Intervention durations ranged from 8 wk to 6 mo. Body fat was reduced with energy restriction plus any exercise or plus high-protein intake. Energy restriction alone was less effective and tended to decrease muscle mass. Muscle mass was only significantly increased with mixed exercise. All other interventions including exercise effectively preserved muscle mass. A BMI and/or WC decrease was achieved with all interventions except aerobic training/resistance training alone or resistance training plus high protein. Overall, the most effective strategy for nearly all outcomes was combining energy restriction with resistance training or mixed exercise and high protein. Health care professionals involved in the management of persons with obesity need to be aware that an energy-restricted diet alone may contribute to sarcopenic obesity in persons near retirement age.
This network meta-analysis is registered at https://www.crd.york.ac.uk/prospero/ as CRD42021276465.
MULTIFILE
Background&aims
Obesity and sarcopenia are major health concerns, particularly among older populations. Dietary protein may help preserve muscle mass and function, but high-protein diets, especially from animal sources, may also increase adipose mass. We investigated associations of total, animal, and plant protein intake with body composition trajectories, sarcopenia, and sarcopenic obesity.
Methods
We included 4576 participants (mean age 65.1 years, 56 % women) from the population-based Rotterdam Study. Dietary protein was measured using food-frequency questionnaires at baseline (2004–2009). Body composition was measured every 4–5 years using dual X-ray-absorptiometry. Handgrip strength (HGS) was assessed starting 2006 using a hydraulic dynamometer. Sarcopenia was determined based on low appendicular skeletal muscle and HGS; and sarcopenic obesity risk based on measures of lean mass, HGS and body fat. Analyses used linear mixed models and generalized estimate equation models.
Results
Higher total protein intake was associated with increased BMI over time (mean difference [95 %-confidence interval (CI)]: 0.86 kg/m2 [0.01,1.71] per 5E% increase), and increased fat-mass index (1.33 [0.67,1.99]), body-fat-percentage (4.54[2.76,6.31]), and both gynoid and android fat percentage. Higher protein intake was also associated with a higher sarcopenic obesity risk (−0.85[-1.5,-0.2]), but with a lower sarcopenia risk (odds ratio: 0.62 [0.43,0.90]). These associations were mainly driven by animal protein.
Conclusion
Higher protein intake, particularly from animal food sources, is protective against sarcopenia but also linked to a higher obesity risk. A balanced protein intake advice for older persons should be formulated based on individual needs and health status to prevent sarcopenia, obesity, and sarcopenic obesity.
MULTIFILE
Objective
The Plants for Joints (PFJ) intervention significantly improved pain, stiffness, and physical function, and metabolic outcomes, in people with metabolic syndrome-associated osteoarthritis (MSOA). This secondary analysis investigated its effects on body composition.
Method
In the randomized PFJ study, people with MSOA followed a 16-week intervention based on a whole-food plant-based diet, physical activity, and stress management, or usual care. For this secondary analysis, fat mass, muscle mass, and bone mineral density were measured using dual-energy X-ray absorptiometry (DEXA) for all participants. Additionally, in a subgroup (n = 32), hepatocellular lipid (HCL) content and composition of visceral adipose tissue (VAT) were measured using magnetic resonance spectroscopy (MRS). An intention-to-treat analysis with a linear-mixed model adjusted for baseline values was used to analyse between-group differences.
Results
Of 66 people randomized, 64 (97%) completed the study. The PFJ group experienced significant weight loss (−5.2 kg; 95% CI –6.9, −3.6) compared to controls, primarily from fat mass reduction (−3.9 kg; 95% CI –5.3 to −2.5). No significant differences were found in lean mass, muscle strength, or bone mineral density between groups. In the subgroup who underwent MRI scans, the PFJ group had a greater reduction in HCL (−6.5%; 95% CI –9.9, 3.0) compared to controls, with no observed differences in VAT composition.
Conclusion
The PFJ multidisciplinary intervention positively impacted clinical and metabolic outcomes, and appears to significantly reduce body fat, including liver fat, while preserving muscle mass and strength.
MULTIFILE
Background & aims:
Body composition and energy metabolism (BC and EM) assessments inform patients’ nutritional status and allow the identification, diagnosis, and management of core nutritional problems. However, a structured approach or care model for integrating these assessments into the nutrition care process is currently lacking. This manuscript describes the protocol for a planning project aimed at convening a multidisciplinary team of researchers, healthcare providers, provincial managers, and industry partners to identify a practical pathway for implementing BC methods and indirect calorimetry for EM assessment in targeted clinical settings.
Methods:
Using purposive sampling, dietitians from six specialty areas (oncology, liver or kidney diseases, critical care, weight management/bariatric surgery, and inpatient care) within Alberta Health Services are invited to participate in this two-phase planning project. In phase 1, participants attend a 4-h evidence-based educational session to establish a baseline understanding of BC and EM. In phase 2, seven 4-h focus group discussions are conducted, facilitated by trained moderators using a semi-structured interview guide. Discussions are audio-recorded and will be transcribed verbatim. Data will be analyzed using an inductive, descriptive qualitative content analysis approach. The Consolidated Framework for Implementation Research will inform barriers and facilitators identification, and the Expert Recommendations for Implementing Change will inform implementations strategies. Peer debriefings and reflexivity will ensure trustworthiness of the findings.
Conclusions:
The proposed pathway will serve as a roadmap to dietitians and other healthcare professionals involved in nutrition assessment and a catalyst for practice improvement. Beyond outlining the proposed pathway, this initiative will inform the development of a larger implementation project focused on evaluating the feasibility and cost-effectiveness of BC and EM assessments in daily practice. Ultimately, a structured approach to integrating these assessments into routine care may enhance patient outcomes and improve nutrition care standards.
DOCUMENT
Background: Body composition and energy metabolism assessments are central to nutrition care but remain underused. This study evaluated dietitians’ access, use, education, and beliefs toward these assessments, and the impact of an educational session. Methods: Dietitians (≥1 year experience) within Alberta Health Services completed online surveys on their access, use, education, confidence, and clinical protocol awareness regarding body composition and energy metabolism assessments. Participants attended a 4-h virtual educational session on these topics, with presession and postsession knowledge recall compared using Wilcoxon signed rank test. Results: We surveyed 36 participants (97% women), primarily from inpatient care (36%) or oncology (31%). Most (86%) never used body composition methods, despite access to computerized tomography (CT; 31%), ultrasound (US; 25%), bioelectrical impedance analysis (BIA; 6%), and dual-energy x-ray absorptiometry (DXA; 3%). Although 67% received body composition education (47% BIA, 31% DXA, 22% CT, 8% US), 64% lacked confidence. Protocol awareness was 67% for malnutrition and 8% for sarcopenia. Most never (58%) or occasionally (19%) used energy metabolism methods; Q-NRG (COSMED; 28%) and standard metabolic carts (19%) were the most available devices. Although 67% received energy metabolism education (53% metabolic cart, 31% Q-NRG), 50% were not confident in using these methods. After the educational session, body composition knowledge recall improved (median, +20% [IQR, 10–30]; P < 0.001), whereas energy metabolism scores were unchanged (P = 0.530). Conclusion: Despite prior education, dietitians used body composition and energy metabolism assessments inconsistently because of limited access, insufficient applied knowledge, lack of protocols, and low confidence. These results underscore the need to strengthen curriculum and professional development to support adoption.
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