AnthropoAge, a novel approach to integrate body composition into the estimation of biological age

Methods to estimate biological age (BA) capture different aspects of aging. Here, we consider the role of changes in body composition related to aging as a starting point to incorporate anthropometry into the estimation of BA. To that end, we developed AnthropoAge, a metric to estimate 10-year mortality risk as a proxy of BA using anthropometric and linked mortality data from NHANES-III (n=11,865) and validated it in NHANES-IV (n=7,065). We identified that thigh circumference, arm circumference, body-mass index (BMI), waist-to-height ratio (WHtR) and arm length were useful to predict BA in men, whilst weight, thigh circumference, subscapular and tricipital skinfolds and WHtR in women. We also developed a simplified version of AnthropoAge (S-AnthropoAge) which used only BMI and WHtR, with strong concordance with the complete metric. Both AnthropoAge and S-AnthropoAge were useful to predict 10-year mortality independent of ethnicity, sex, and comorbidities. In comparison to PhenoAge, AnthropoAge/S-AnthropoAge were superior for prediction of cardiovascular, cerebrovascular, cancer-related and nephritis/nephrosis related mortality risk in contrast with other causes. Accelerated aging metrics AnthropoAgeAccel/S-AnthropoAgeAccel identified males with phenotypes of decreased lean and fat mass and females with phenotypes of increased fat mass and increased abdominal adiposity, which likely reflected sexual dimorphisms related to accelerated body composition aging. When jointly assessing PhenoAge and AnthropoAge/S-AnthropoAge, we identified unique aging trajectories with differential mortality risk and comorbidity clustering. AnthropoAge is a useful proxy of BA, which captures cause-specific mortality risk; assessing aging using different BA measures may be useful to better characterize the heterogeneity of the aging process.

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COVID-19 severity is predicted by earlier evidence of accelerated aging

10.1101/2020.07.10.20147777 ◽

2020 ◽

Cited By ~ 1

Author(s):

Chia-Ling Kuo ◽

Luke C. Pilling ◽

Janice L Atkins ◽

Jane AH Masoli ◽

João Delgado ◽

...

Keyword(s):

Clinical Chemistry ◽

Accelerated Aging ◽

Biological Age ◽

Chronological Age ◽

Biological Aging ◽

Severe Illness ◽

Mortality Data ◽

Age Related ◽

Underlying Mechanisms ◽

The Uk

AbstractWith no known treatments or vaccine, COVID-19 presents a major threat, particularly to older adults, who account for the majority of severe illness and deaths. The age-related susceptibility is partly explained by increased comorbidities including dementia and type II diabetes [1]. While it is unclear why these diseases predispose risk, we hypothesize that increased biological age, rather than chronological age, may be driving disease-related trends in COVID-19 severity with age. To test this hypothesis, we applied our previously validated biological age measure (PhenoAge) [2] composed of chronological age and nine clinical chemistry biomarkers to data of 347,751 participants from a large community cohort in the United Kingdom (UK Biobank), recruited between 2006 and 2010. Other data included disease diagnoses (to 2017), mortality data (to 2020), and the UK national COVID-19 test results (to May 31, 2020) [3]. Accelerated aging 10-14 years prior to the start of the COVID-19 pandemic was associated with test positivity (OR=1.15 per 5-year acceleration, 95% CI: 1.08 to 1.21, p=3.2×10−6) and all-cause mortality with test-confirmed COVID-19 (OR=1.25, per 5-year acceleration, 95% CI: 1.09 to 1.44, p=0.002) after adjustment for demographics including current chronological age and pre-existing diseases or conditions. The corresponding areas under the curves were 0.669 and 0.803, respectively. Biological aging, as captured by PhenoAge, is a better predictor of COVID-19 severity than chronological age, and may inform risk stratification initiatives, while also elucidating possible underlying mechanisms, particularly those related to inflammaging.

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Body Composition by CT vs. DXA: Long-Term Prediction of Mortality in the Health Health ABC Cohort

Innovation in Aging ◽

10.1093/geroni/igaa057.770 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 239-239

Author(s):

Samaneh Farsijani ◽

Lingshu Xue ◽

Robert Boudreau ◽

Adam Santanasto ◽

Stephen Kritchevsky ◽

...

Keyword(s):

Body Composition ◽

Fat Mass ◽

Mortality Risk ◽

Subcutaneous Fat ◽

Thigh Muscle ◽

Muscle Area ◽

Muscle Density ◽

Long Term Follow Up

Abstract Background: Early work in the Health ABC cohort found that strength, but not muscle size predicted mortality. Recent literature suggests that body composition by computerized tomography (CT) and magnetic resonance imaging (MRI) predicts adverse health outcomes in diverse populations, but has not been directly compared to dual-energy X-ray absorptiometry (DXA) for predicting mortality. Objective: With long term follow-up, we reexamined body composition and mortality in Health ABC, comparing DXA and CT measures of muscle and fat. Methods: The Health ABC study assessed body composition in 2911 older adults (age 73.6±2.9 years) in 1996-97. Mid-thigh CTs were read for muscle area, inter-muscular, subcutaneous-fat areas and muscle density (HU). DXAs were read for whole body fat mass and appendicular lean mass (ALM). Mortality was assessed every 6-months through 2014 (maximum 17.4 years). Cox proportional hazards models, adjusting for age, sex, race, height, weight, physical activity, smoking and comorbidities were used to assess mortality risk. Results: Strong correlations were observed between mid-thigh muscle and subcutaneous fat areas by CT and leg lean and fat mass by DXA (P<0.05). Lower mortality rates, per SD, were associated with higher CT muscle area (HR-men=0.76 [95%CI: 0.68-0.86]; HR-women=0.84 [0.75-0.94]), muscle density (HR-men=0.86 [0.79-0.93]; HR-women=0.89 [0.81-0.97]) and higher subcutaneous-fat (HR-men=0.90 [0.81-0.99]; HR-women=0.87 [0.77-0.98]), adjusting for covariates. Similarly for DXA, greater ALM (HR-men=0.56 [0.44-0.71]; HR-women=0.77 [0.59-1.01]) and higher total fat mass (HR-men=0.53 [0.40-0.72]; HR-women=0.58 [0.37-0.90]) were associated with lower risk of death. Conclusion: With long term follow-up, both CT and DXA assessments of body composition predicted all-cause mortality risk.

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Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

British Journal Of Nutrition ◽

10.1017/s0007114521001550 ◽

2021 ◽

pp. 1-27

Author(s):

Masoome Piri Damaghi ◽

Atieh Mirzababaei ◽

Sajjad Moradi ◽

Elnaz Daneshzad ◽

Atefeh Tavakoli ◽

...

Keyword(s):

Body Composition ◽

Whey Protein ◽

Lean Body Mass ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Soy Protein ◽

Protein Supplementation ◽

Body Fat Percentage ◽

Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

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Effects of 60-Day Saccharomyces boulardii and Superoxide Dismutase Supplementation on Body Composition, Hunger Sensation, Pro/Antioxidant Ratio, Inflammation and Hormonal Lipo-Metabolic Biomarkers in Obese Adults: A Double-Blind, Placebo-Controlled Trial

Nutrients ◽

10.3390/nu13082512 ◽

2021 ◽

Vol 13 (8) ◽

pp. 2512

Author(s):

Mariangela Rondanelli ◽

Niccolò Miraglia ◽

Pietro Putignano ◽

Ignazio Castagliuolo ◽

Paola Brun ◽

...

Keyword(s):

Vitamin D ◽

Superoxide Dismutase ◽

Body Composition ◽

Uric Acid ◽

Fat Mass ◽

Intervention Group ◽

Saccharomyces Boulardii ◽

Homa Index ◽

Obese Adults ◽

Hunger Sensation

In animals it has been demonstrated that Saccharomyces boulardii and Superoxide Dismutase (SOD) decrease low-grade inflammation and that S. boulardii can also decrease adiposity. The purpose of this study was to evaluate the effect of a 60-day S. boulardii and SOD supplementation on circulating markers of inflammation, body composition, hunger sensation, pro/antioxidant ratio, hormonal, lipid profile, glucose, insulin and HOMA-IR, in obese adults (BMI 30–35 kg/m2). Twenty-five obese adults were randomly assigned to intervention (8/4 women/men, 57 ± 8 years) or Placebo (9/4 women/men, 50 ± 9 years). Intervention group showed a statistically significant (p < 0.05) decrease of body weight, BMI, fat mass, insulin, HOMA Index and uric acid. Patients in intervention and control groups showed a significant decrease (p < 0.05) of GLP-1. Intervention group showed an increase (p < 0.05) of Vitamin D as well. In conclusion, the 60-day S. boulardii-SOD supplementation in obese subjects determined a significant weight loss with consequent decrease on fat mass, with preservation of fat free mass. The decrease of HOMA index and uric acid, produced additional benefits in obesity management. The observed increase in vitamin D levels in treated group requires further investigation.

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Metabolic-endocrine disruption due to preterm birth impacts growth, body composition, and neonatal outcome

Pediatric Research ◽

10.1038/s41390-021-01566-8 ◽

2021 ◽

Author(s):

Lea Sophie Möllers ◽

Efrah I. Yousuf ◽

Constanze Hamatschek ◽

Katherine M. Morrison ◽

Michael Hermanussen ◽

...

Keyword(s):

Body Composition ◽

Preterm Birth ◽

Postnatal Development ◽

Endocrine Disruption ◽

Fat Mass ◽

Neonatal Morbidity ◽

Neonatal Outcomes ◽

Endocrine Function ◽

List Type ◽

Term Infants

Abstract Despite optimized nutrition, preterm-born infants grow slowly and tend to over-accrete body fat. We hypothesize that the premature dissociation of the maternal–placental–fetal unit disrupts the maintenance of physiological endocrine function in the fetus, which has severe consequences for postnatal development. This review highlights the endocrine interactions of the maternal–placental–fetal unit and the early perinatal period in both preterm and term infants. We report on hormonal levels (including tissue, thyroid, adrenal, pancreatic, pituitary, and placental hormones) and nutritional supply and their impact on infant body composition. The data suggest that the premature dissociation of the maternal–placental–fetal unit leads to a clinical picture similar to panhypopituitarism. Further, we describe how the premature withdrawal of the maternal–placental unit, neonatal morbidities, and perinatal stress can cause differences in the levels of growth-promoting hormones, particularly insulin-like growth factors (IGF). In combination with the endocrine disruption that occurs following dissociation of the maternal–placental–fetal unit, the premature adaptation to the extrauterine environment leads to early and fast accretion of fat mass in an immature body. In addition, we report on interventional studies that have aimed to compensate for hormonal deficiencies in infants born preterm through IGF therapy, resulting in improved neonatal morbidity and growth. Impact Preterm birth prematurely dissociates the maternal–placental–fetal unit and disrupts the metabolic-endocrine maintenance of the immature fetus with serious consequences for growth, body composition, and neonatal outcomes. The preterm metabolic-endocrine disruption induces symptoms resembling anterior pituitary failure (panhypopituitarism) with low levels of IGF-1, excessive postnatal fat mass accretion, poor longitudinal growth, and failure to thrive. Appropriate gestational age-adapted nutrition alone seems insufficient for the achievement of optimal growth of preterm infants. Preliminary results from interventional studies show promising effects of early IGF-1 supplementation on postnatal development and neonatal outcomes.

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Effects of Resistance Circuit-Based Training on Body Composition, Strength and Cardiorespiratory Fitness: A Systematic Review and Meta-Analysis

Biology ◽

10.3390/biology10050377 ◽

2021 ◽

Vol 10 (5) ◽

pp. 377

Author(s):

Domingo Jesús Ramos-Campo ◽

Luis Andreu Caravaca ◽

Alejandro Martínez-Rodríguez ◽

Jacobo Ángel Rubio-Arias

Keyword(s):

Systematic Review ◽

Body Composition ◽

Cardiorespiratory Fitness ◽

Fat Mass ◽

Meta Analysis ◽

Aerobic Performance ◽

Favorable Effect ◽

Post Intervention ◽

Strength Performance ◽

Rest Time

We assessed the effects of resistance circuit-based training (CT) on strength, cardiorespiratory fitness, and body composition. A systematic review with meta-analysis was conducted in three databases, ending on March, 2020. Meta-analysis and subgroup analysis were used to analyze the effects of pre–post-intervention CT and differences from control groups (CG). Of the 830 studies found, 45 were included in the meta-analysis (58 experimental groups (n = 897) and 34 CG (n = 474)). The CT interventions led to increases in muscle mass (1.9%; p < 0.001) and decreases in fat mass (4.3%; p < 0.001). With regard to cardiorespiratory fitness, CT had a favorable effect on VO2max (6.3%; p < 0.001), maximum aerobic speed or power (0.3%; p = 0.04), and aerobic performance (2.6%; p = 0.006) after training. Concerning strength outcome, the CT increased the strength of the upper and lower extremities. Only the magnitude of strength performance appears to be influenced by the training (number of sessions and frequency) and the training status. Moreover, low and moderate intensities and short rest time between exercise increase the magnitude of change in fat mass loss. Therefore, CT has been shown to be an effective method for improving body composition, cardiorespiratory fitness, and strength of the lower and upper limbs.

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The Effects of Intermittent Fasting Combined with Resistance Training on Lean Body Mass: A Systematic Review of Human Studies

Nutrients ◽

10.3390/nu12082349 ◽

2020 ◽

Vol 12 (8) ◽

pp. 2349

Author(s):

Stephen Keenan ◽

Matthew B. Cooke ◽

Regina Belski

Keyword(s):

Body Composition ◽

Resistance Training ◽

Lean Body Mass ◽

Body Mass ◽

Fat Mass ◽

Energy Restriction ◽

Human Studies ◽

Future Research ◽

Intermittent Fasting ◽

Eligibility Criteria

Diets utilising intermittent fasting (IF) as a strategic method to manipulate body composition have recently grown in popularity, however, dietary practices involving fasting have also been followed for centuries for religious reasons (i.e., Ramadan). Regardless of the reasons for engaging in IF, the impacts on lean body mass (LBM) may be detrimental. Previous research has demonstrated that resistance training promotes LBM accrual, however, whether this still occurs during IF is unclear. Therefore, the objective of this review is to systematically analyse human studies investigating the effects of variations of IF combined with resistance training on changes in LBM in previously sedentary or trained (non-elite) individuals. Changes in body weight and fat mass, and protocol adherence were assessed as a secondary objective. This review followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. MEDLINE, CINAHL, PubMed and SportDiscus databases were searched for articles investigating IF, combined with resistance training that reported measures of body composition. Eight studies met the eligibility criteria. LBM was generally maintained, while one study reported a significant increase in LBM. Body fat mass or percentage was significantly reduced in five of eight studies. Results suggest that IF paired with resistance training generally maintains LBM, and can also promote fat loss. Future research should examine longer-term effects of various forms of IF combined with resistance training compared to traditional forms of energy restriction. Prospero registration CRD42018103867.

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The impact of legs fat mass and legs lean fat mass on thigh circumference according cardiovascular risk: a population-based study

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.252 ◽

2021 ◽

Vol 28 (Supplement_1) ◽

Author(s):

M Chlabicz ◽

M Paniczko ◽

J Jamolkowski ◽

P Sowa ◽

M Lapinska ◽

...

Keyword(s):

Adipose Tissue ◽

Regression Analysis ◽

Linear Regression ◽

Muscle Tissue ◽

Fat Mass ◽

Linear Regression Analysis ◽

Population Based ◽

Thigh Circumference ◽

Tissue Model ◽

The Mean

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University of Bialystok, Poland Introduction A low thigh circumference is associated with an increased risk of high blood pressure, diabetes, cardiovascular diseases, and total mortality. Objectives The aim of the study was to investigate the relationship between the thigh circumference and cardiovascular (CV) risk classes, and to assess what type of tissue, adipose tissue or muscle tissue affects the thigh circumference. Methods The longitudinal, population-based, Polish study was conducted in 2017-2020. A total of 931 individuals aged 20-79 were analyzed. Pol-SCORE system was used to assess the 10-year risk of fatal CV based on the following risk factors: age, gender, smoking, systolic blood pressure, and total cholesterol for individuals aged 40-70. Then, CV risk classes were assessed using the 2019 ESC/EAS guidelines. The measurement of thigh circumference were performed directly below the gluteal fold of the thigh. Both thighs were measured and the mean value was calculated as the final thigh circumference. Body composition was assessed using Dual Energy X-ray Absorptiometry (DEXA). Results The mean age was 49.1 ± 15.5 years and 43.2% male. The mean thigh circumference was 58.2 ± 5.9 cm, the mean legs fat mass was 7.7 ± 2.8kg, and the mean legs lean mass was 16.9 ± 4.0kg. Lower thigh circumference was associated with higher CV risk classes in univariate linear regression analysis (β -0.516, p = 0.002), as well adjusted by age and sex (β -0.839, p = 0.008), adjusted by age, sex, BMI (β -0.886, p <0.001), and age, sex, WHR (β -0.988, p <0.001). In linear regression analysis legs adipose tissue and muscle tissue were related to the thigh circumference independently of CV risk classes (Model 1) and Pol-SCORE value (Model 2). However, fatty tissue (Model 1: β 0.746, p < 0.001; Model 2: β 0.749, p < 0.001) affects the thigh circumference more than the muscle tissue (Model 1: β 0.479, p < 0.001; Model 2: β 0.442, p < 0.001) (Fig. 1). Conclusion Smaller thigh circumference was associated with higher CV risk classes. Thigh circumference was more influenced by adipose tissue than by muscle tissue, regardless of the Pol-SCORE or CV risk classes. Table 1. Variable Model 1 Model 2 Beta p R2 Beta p R2 Legs fat mass 0.746 <0.001 0.785 0.749 <0.001 0.760 Legs lean mass 0.479 <0.001 0.785 0.442 <0.001 0.760 Model 1: adjusted for Cardiovascular risk classesModel 2: adjusted for Pol-SCOREResults of the linear regression analysis thigh circumference in the general population Abstract Figure 1.

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Decreased Muscle-to-Fat Mass Ratio Is Associated with Low Muscular Fitness and High Alanine Aminotransferase in Children and Adolescent Boys in Organized Sports Clubs

Journal of Clinical Medicine ◽

10.3390/jcm10112272 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2272

Author(s):

Kai Ushio ◽

Yukio Mikami ◽

Hiromune Obayashi ◽

Hironori Fujishita ◽

Kouki Fukuhara ◽

...

Keyword(s):

Body Composition ◽

Children And Adolescents ◽

Fat Mass ◽

Alanine Aminotransferase ◽

Mass Ratio ◽

Adolescent Boys ◽

Muscular Fitness ◽

Children And Adolescent ◽

Sports Clubs ◽

Fat Mass Ratio

Decreased muscle-to-fat mass ratio (MFR) is associated with pediatric nonalcoholic fatty liver disease (NAFLD) and may reduce muscular fitness. Regular exercise in sports clubs has not led to reductions in obesity in children and adolescents; they may have decreased MFR. Decreased MFR could cause reduced muscular fitness, which may put them at risk for NAFLD development. We investigated whether MFR is related to muscular fitness and serum alanine aminotransferase (ALT), to determine whether MFR could be used to screen for NAFLD in children and adolescent boys belonging to sports clubs. Altogether, 113 participants (aged 7–17 years) who underwent body composition, laboratory, and muscular fitness measurements during a medical checkup were divided into tertiles according to their MFR. Lower extremity muscular fitness values were significantly decreased in the lowest MFR tertile (p < 0.001); conversely, serum ALT levels were significantly increased (p < 0.01). Decreased MFR significantly increased the risk of elevated ALT, which requires screening for NAFLD, after adjusting for age, obesity, muscular fitness parameters, and metabolic risk factors (odds ratio = 8.53, 95% confidence interval = 1.60–45.6, p = 0.012). Physical fitness and body composition assessments, focusing on MFR, can be useful in improving performance and screening for NAFLD in children and adolescents exercising in sports clubs.

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Mortality Outcomes in People Experiencing Homelessness Across England: a population-based study

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.1350 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

D Menezes ◽

D Lewer ◽

A Yavlinsky ◽

M Tinelli ◽

R Aldridge

Keyword(s):

Hospital Discharge ◽

Mortality Risk ◽

Meta Analysis ◽

Population Based ◽

Mortality Data ◽

Additive Interaction ◽

Population Based Study ◽

Group A ◽

Healthcare Interventions ◽

Discharge From Hospital

Abstract Introduction The number of people experiencing homelessness in England has increased since 2010 and a recent systematic review and meta-analysis demonstrated high levels of mortality in this group across high-income countries. In this study we examine the death rates in people experiencing homelessness after discharge from hospital. Methods This is a study of linked hospital admission records and mortality data for two groups. First, a “Homeless group”: people seen by 17 specialist homeless discharge schemes between 1 November 2013 and 30 November 2016. Second, an “IMD5 group”: A matched group of patients who live in deprived areas and have the same age and sex, and were discharged from the same hospital in the same year as the homeless patient. Our analysis entailed calculating mortality rates across each group and by the number of comorbidities. Results The mortality rate for the IMD5 group was 1,935 deaths per 100,000 person years, compared with 5,691 for the homeless group, giving a rate ratio of 2.9 (95% CI 2.5-3.5). The mortality risk increased with the number of comorbidities. Individuals in the IMD5 group with zero comorbidities had a death rate of 831 per 100,000 person-years, compared with the homeless group for which the corresponding figure was 2,598 and or those with 4+ comorbidities were 7,324 (IMD5) and 12,714 (homeless). This suggests a 'super-additive' interaction in which the effect of morbidity on mortality risk after discharge is greater for homeless patients. Survival at 5 years for the homelessness group was for men 80% (95% CI 77-85) and women 85 (95% CI 81-87). Conclusions This study shows that the well-established inequity in mortality for people experiencing homelessness exists after discharge from hospital and is greatest for the most unwell patients. Our results suggest a need for greater emphasis on prevention of homelessness, early healthcare interventions and improved hospital discharge arrangements for this population. Key messages The well-established inequity in mortality for people experiencing homelessness exists after discharge from hospital and is greatest for the most unwell patients. Our results suggest a need for greater emphasis on prevention of homelessness, early healthcare interventions and improved hospital discharge arrangements for this population.

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