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Wang X, Gao L, Xiong J, Cheng H, Liu L, Dong H, Huang Y, Fan H, Wang X, Shan X, Xiao P, Liu J, Yan Y, Mi J. The life-course changes in muscle mass using dual-energy X-ray absorptiometry: The China BCL study and the US NHANES study. J Cachexia Sarcopenia Muscle 2024. [PMID: 38952048 DOI: 10.1002/jcsm.13522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 04/13/2024] [Accepted: 05/15/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Sarcopenia is an important indicator of ill health and is linked to increased mortality and a reduced quality of life. Age-associated muscle mass indices provide a critical tool to help understand the development of sarcopenia. This study aimed to develop sex- and age-specific percentiles for muscle mass indices in a Chinese population and to compare those indices with those from other ethnicities using the National Health and Nutrition Examination Survey (NHANES) data. METHODS Whole-body and regional muscle mass was measured by dual-energy X-ray absorptiometry (DXA) in participants of the China Body Composition Life-course (BCL) study (17 203 healthy Chinese aged 3-60 years, male 48.9%) and NHANES (12 663 healthy Americans aged 8-59 years, male 50.4%). Age- and sex-specific percentile curves were generated for whole-body muscle mass and appendicular skeletal muscle mass using the Generalized Additive Model for Location Scale and Shape statistical method. RESULTS Values of upper and lower muscle mass across ages had three periods: an increase from age 3 to a peak at age 25 in males (with the 5th and 95th values of 41.5 and 66.4 kg, respectively) and age 23 in females (with the 5th and 95th values of 28.4 and 45.1 kg, respectively), a plateau through midlife (30s-50s) and then a decline after their early 50s. The age at which muscle mass began to decline was 52 years in men with the 5th and 95th percentile values of 43.5 and 64.6 kg, and 51 years in women with the 5th and 95th percentile values of 31.6 and 46.9 kg. Appendicular skeletal muscle mass decreased earlier than whole body muscle mass, especially leg skeletal muscle mass, which decreased slightly after age 49 years in both sexes. In comparison with their US counterparts in the NHANES, the Chinese participants had lower muscle mass indices (all P < 0.001) and reached a muscle mass peak earlier with a lower muscle mass, with the exception of similar values compared with adult Mexican and White participants. The muscle mass growth rate of Chinese children decreased faster than that of other races after the age of 13. CONCLUSIONS We present the sex- and age-specific percentiles for muscle mass and appendicular skeletal muscle mass by DXA in participants aged 3-60 from China and compare them with those of different ethnic groups in NHANES. The rich data characterize the trajectories of key muscle mass indices that may facilitate the clinical appraisal of muscle mass and improve the early diagnosis of sarcopenia in the Chinese population.
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Affiliation(s)
- Xi Wang
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Liwang Gao
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- School of Public Health, Capital Medical University, Beijing, China
| | - Jingfan Xiong
- Children and Adolescents Chronic Disease Prevention and Control Department, Chronic Disease Prevention and Control Center, Shenzhen, China
| | - Hong Cheng
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Li Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Hongbo Dong
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yiwen Huang
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Hongmin Fan
- North China University of Science and Technology, Tangshan, China
| | - Xia Wang
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xinying Shan
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Pei Xiao
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Junting Liu
- Child Health Big Data Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Yinkun Yan
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Jie Mi
- Center for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
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Alkhatib A, Obita G. Childhood Obesity and Its Comorbidities in High-Risk Minority Populations: Prevalence, Prevention and Lifestyle Intervention Guidelines. Nutrients 2024; 16:1730. [PMID: 38892662 PMCID: PMC11175158 DOI: 10.3390/nu16111730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/28/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
The prevalence of childhood obesity and its associated comorbidities is a growing global health problem that disproportionately affects populations in low- and middle-income countries (LMICs) and minority ethnicities in high-income countries (HICs). The increased childhood obesity disparities among populations reflect two concerns: one is HICs' ineffective intervention approaches in terms of lifestyle, nutrition and physical activity in minority populations, and the second is the virtually non-existent lifestyle obesity interventions in LMICs. This article provides guidelines on childhood obesity and its comorbidities in high-risk minority populations based on understanding the prevalence and effectiveness of preventative lifestyle interventions. First, we highlight how inadequate obesity screening by body mass index (BMI) can be resolved by using objective adiposity fat percentage measurements alongside anthropometric and physiological components, including lean tissue and bone density. National healthcare childhood obesity prevention initiatives should embed obesity cut-off points for minority ethnicities, especially Asian and South Asian ethnicities within UK and USA populations, whose obesity-related metabolic risks are often underestimated. Secondly, lifestyle interventions are underutilised in children and adolescents with obesity and its comorbidities, especially in minority ethnicity population groups. The overwhelming evidence on lifestyle interventions involving children with obesity comorbidities from ethnic minority populations shows that personalised physical activity and nutrition interventions are successful in reversing obesity and its secondary cardiometabolic disease risks, including those related to cardiorespiratory capacity, blood pressure and glucose/insulin levels. Interventions combining cultural contextualisation and better engagement with families are the most effective in high-risk paediatric minority populations but are non-uniform amongst different minority communities. A sustained preventative health impact can be achieved through the involvement of the community, with stakeholders comprising healthcare professionals, nutritionists, exercise science specialists and policy makers. Our guidelines for obesity assessment and primary and secondary prevention of childhood obesity and associated comorbidities in minority populations are fundamental to reducing global and local health disparities and improving quality of life.
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Affiliation(s)
- Ahmad Alkhatib
- College of Life Sciences, Birmingham City University, City South Campus, Edgbaston, Birmingham B15 3TN, UK
- School of Health and Life Sciences, Teesside University, Tees Valley, Middlesbrough TS1 3BX, UK;
| | - George Obita
- School of Health and Life Sciences, Teesside University, Tees Valley, Middlesbrough TS1 3BX, UK;
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Zhao Y, Gong JX, Ji YT, Zhao XY, He L, Cai SZ, Yan XM. Cross-sectional study of characteristics of body composition of 24,845 children and adolescents aged 3-17 years in Suzhou. BMC Pediatr 2023; 23:358. [PMID: 37442965 PMCID: PMC10339479 DOI: 10.1186/s12887-023-04134-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND We aimed to analyze the characteristics of the body composition of children and adolescents aged 3-17 in Suzhou, China. METHODS A cross-sectional study between January 2020 and June 2022 using bioelectrical impedance was conducted to determine the fat mass (FM), fat-free mass (FFM), skeletal muscle mass, and protein and mineral contents of 24,845 children aged 3-17 who attended the Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, China. Measurement data was presented in tables as mean ± SD, and groups were compared using the independent samples t-test. RESULTS FM and fat-free mass increased with age in both boys and girls. The fat-free mass of girls aged 14-15 decreased after reaching a peak, and that of boys in the same age group was higher than that of the girls (p < 0.05). There were no significant differences in FM between boys and girls younger than 9- and 10-years old. The percentage body fat (PBF) and FM index of girls increased rapidly between 11 and 15 years of age (p < 0.05), and those of boys aged 11-14 were significantly lower (p < 0.05), suggesting that the increase in body mass index (BMI) was mainly contributed by muscle mass (MM) in boys. CONCLUSIONS The body composition of children and adolescents varies according to their age and sex. A misdiagnosis of obesity made on the basis of BMI alone can be avoided if BMI is used in combination with FM index, percentage body fat, and other indexes.
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Affiliation(s)
- Yan Zhao
- Department of Pediatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215003, China
| | - Jin-Xin Gong
- Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China
| | - Yi-Ting Ji
- Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China
| | - Xiao-Yun Zhao
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China
| | - Lu He
- Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China
| | - Shi-Zhong Cai
- Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China.
| | - Xiang-Ming Yan
- Department of Urology, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China.
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van Beijsterveldt IALP, Dorrepaal DJ, de Fluiter KS, de Ridder MAJ, Hokken-Koelega ACS. Skinfold-based-equations to assess longitudinal body composition in children from birth to age 5 years. Clin Nutr 2023; 42:1213-1218. [PMID: 37225558 DOI: 10.1016/j.clnu.2023.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 04/05/2023] [Accepted: 04/26/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND & AIMS In order to identify children at risk for excess adiposity, it is important to determine body composition longitudinally throughout childhood. However, most frequently used techniques in research are expensive and time-consuming and, therefore, not feasible for use in general clinical practice. Skinfold measurements can be used as proxy for adiposity, but current anthropometry-based-equations have random and systematic errors, especially when used longitudinally in pre-pubertal children. We developed and validated skinfold-based-equations to estimate total fat mass (FM) longitudinally in children aged 0-5 years. METHODS This study was embedded in the Sophia Pluto study, a prospective birth cohort. In 998 healthy term-born children, we longitudinally measured anthropometrics, including skinfolds and determined FM using Air Displacement Plethysmography (ADP) by PEA POD and Dual energy X-ray Absorptiometry (DXA) from birth to age 5 years. Of each child one random measurement was used in the determination cohort, others for validation. Linear regression was used to determine the best fitting FM-prediction model based on anthropometric measurements using ADP and DXA as reference methods. For validation, we used calibration plots to determine predictive value and agreement between measured and predicted FM. RESULTS Three skinfold-based-equations were developed for adjoined age ranges (0-6 months, 6-24 months and 2-5 years), based on FM-trajectories. Validation of these prediction equations showed significant correlations between measured and predicted FM (R: 0.921, 0.779 and 0.893, respectively) and good agreement with small mean prediction errors of 1, 24 and -96 g, respectively. CONCLUSIONS We developed and validated reliable skinfold-based-equations which may be used longitudinally from birth to age 5 years in general practice and large epidemiological studies.
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Affiliation(s)
- Inge A L P van Beijsterveldt
- Department of Pediatrics, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands; Dutch Growth Research Foundation, Rotterdam, the Netherlands.
| | - Demi J Dorrepaal
- Department of Pediatrics, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | | | - Maria A J de Ridder
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Anita C S Hokken-Koelega
- Department of Pediatrics, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands; Dutch Growth Research Foundation, Rotterdam, the Netherlands
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Lewis JI, Friis H, Mupere E, Wells JC, Grenov B. Calibration of Bioelectrical Impedance Analysis Against Deuterium Dilution for Body Composition Assessment in Stunted Ugandan Children. J Nutr 2023; 153:426-434. [PMID: 36894235 DOI: 10.1016/j.tjnut.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/09/2022] [Accepted: 12/28/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND BIA represents an important tool in body composition (BC) assessment, especially in low-income settings in which simple and affordable options are preferred. There is a particular need to measure BC in stunted children, in which cases population-specific BIA estimating equations are lacking. OBJECTIVES We calibrated an equation to estimate body composition from BIA using deuterium dilution (2H) as the criterion method in stunted children. METHODS We measured BC with 2H and performed BIA in stunted Ugandan children (n = 50). Multiple linear regression models were constructed to predict 2H-derived FFM from BIA-derived whole-body impedance and other relevant predictors. Model performance was expressed as adjusted R2 and RMSE. Prediction errors were also calculated. RESULTS Participants were aged 16-59 mo, of whom 46% were girls, and their median (IQR) height-for-age z-score (HAZ) was -2.58 (-2.92 to -2.37) according to the WHO growth standards. Impedance index (height2/impedance measured at 50 kHz) alone explained 89.2% variation in FFM and had an RMSE of 583 g (precision error 6.5%). The final model contained age, sex, impedance index, and height-for-age z-score as predictors and explained 94.5% variation in FFM with an RMSE of 402 g (precision error 4.5%). CONCLUSIONS We present a BIA calibration equation for a group of stunted children with a relatively low prediction error. This may help evaluate the efficacy of nutritional supplementation in large-scale trials in the same population. J Nutr 20XX;xxx:xx.
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Affiliation(s)
- Jack I Lewis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ezekiel Mupere
- Department of Paediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Jonathan C Wells
- Childhood Nutrition Research Centre, Population, Policy, and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Benedikte Grenov
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
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van Beijsterveldt IA, Myers PN, Snowden SG, Ong KK, Brix S, Hokken-Koelega AC, Koulman A. Distinct infant feeding type-specific plasma metabolites at age 3 months associate with body composition at 2 years. Clin Nutr 2022; 41:1290-1296. [DOI: 10.1016/j.clnu.2022.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/08/2022] [Accepted: 04/11/2022] [Indexed: 11/03/2022]
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Body Composition Assessment by Air-Displacement Plethysmography Compared to Dual-Energy X-ray Absorptiometry in Full-Term and Preterm Aged Three to Five Years. J Clin Med 2022; 11:jcm11061604. [PMID: 35329930 PMCID: PMC8952802 DOI: 10.3390/jcm11061604] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/28/2022] [Accepted: 03/07/2022] [Indexed: 11/17/2022] Open
Abstract
It is important to monitor body composition longitudinally, especially in children with atypical body composition trajectories. Dual-energy X-ray absorptiometry (DXA) can be used and reference values are available. Air-displacement plethysmography (ADP) is a relatively new technique, but reference values are lacking. In addition, estimates of fat-free mass density (Dffm), needed in ADP calculations, are based on children aged >8 years and may not be valid for younger children. We, therefore, aimed to investigate whether DXA and ADP results were comparable in young children aged 3−5 years, either born full-term or preterm, and if Dffm estimates in the ADP algorithm could be improved. In 154 healthy children born full-term and 67 born < 30 weeks of the inverse pressure-volume gestation, aged 3−5 years, body composition was measured using ADP (BODPOD, with default Lohman Dffm estimates) and DXA (Lunar Prodigy). We compared fat mass (FM), fat mass percentage (FM%) and fat-free mass (FFM), between ADP and DXA using Bland−Altman analyses, in both groups. Using a 3-compartment model as reference method, we revised the Dffm estimates for ADP. In full-term-born children, Bland−Altman analyses showed considerable fixed and proportional bias for FM, FM%, and FFM. After revising the Dffm estimates, agreement between ADP and DXA improved, with mean differences (LoA) for FM, FM%, and FFM of −0.67 kg (−2.38; 1.04), −3.54% (−13.44; 6.36), and 0.5 kg (−1.30; 2.30), respectively, but a small fixed and proportional bias remained. The differences between ADP and DXA were larger in preterm-born children, even after revising Dffm estimates. So, despite revised and improved sex and age-specific Dffm estimates, results of ADP and DXA remained not comparable and should not be used interchangeably in the longitudinal assessment of body composition in children aged 3−5 years, and especially not in very preterm-born children of that age.
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