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Madlala HP, Myer L, Geffen H, Meyer D, Mendham AE, Goedecke JH, Bengtson AM, Jao J, Dugas LR. Measurement of body composition in postpartum South African women living with and without HIV infection. Front Nutr 2024; 11:1280425. [PMID: 38385007 PMCID: PMC10879415 DOI: 10.3389/fnut.2024.1280425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Background While several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status. Methods Lin's concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (%BF) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias. Results The median age was 31 years (IQR, 26-35) and months postpartum were 11 (IQR, 7-16), 44% of the women had obesity. Lin's CCC for BIA and ADP vs. DXA were both 0.80 for %BF and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p < 0.01) for %BF, -0.82 ± 3.56 kg (p = 0.06) and 1.43 ± 2.68 kg (p = 0.01) for FM, -1.38 ± 3.61 kg (p = 0.01) and - 3.34 ± 2.37 kg (p < 0.01) for FFM, respectively. BIA overestimated %BF in WLHIV and underestimated it in women with obesity. Conclusion Body composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.
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Affiliation(s)
- Hlengiwe P. Madlala
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Hayli Geffen
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Demi Meyer
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Amy E. Mendham
- Riverland Academy of Clinical Excellence (RACE), Riverland Mallee Coorong Local Health Network, South Australia Health, Berri, SA, Australia
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Julia H. Goedecke
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
| | - Angela M. Bengtson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Jennifer Jao
- Division of Infectious Diseases, Department of Paediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Lara R. Dugas
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States
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Han X, Kong J, Zhang H, Zhao Y, Zheng Y, Wei C. Triglycerides Mediate the Influence of Body Mass Index on Non-Alcoholic Fatty Liver Disease in a Non-Obese Chinese Population with Normal Low-Density Lipoprotein Cholesterol Levels. Obes Facts 2024; 17:191-200. [PMID: 38266508 PMCID: PMC10987190 DOI: 10.1159/000536447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/18/2024] [Indexed: 01/26/2024] Open
Abstract
INTRODUCTION Over 25% of the world's population has non-obese or lean non-alcoholic fatty liver disease (NAFLD), and the prevalence is higher than average in Asia. The present study focused on the relationship between body mass index (BMI) and non-obese NAFLD in non-overweight people in China, particularly the influence of triglycerides (TG) in the pathogenesis of non-obese NAFLD. The findings suggest new treatments for NAFLD patients with normal BMI, as well as provide an early warning system for the understanding and prevention of NAFLD in non-obese patients. METHODS This cross-sectional study enrolled 159,959 Chinese subjects with BMI <24 kg/m2 and normal levels of low-density lipoprotein cholesterol (LDL-c). The average age was 40.21 ± 13.88 years, and males accounted for 45.7%. A total of 15,907 (9.94%) patients with NAFLD were diagnosed by ultrasonography. Biochemical indicators were measured using an automated analyzer (Abbott AxSYM). The BMI (kg/m2) was calculated from the weight (kg)/height in square meters (m2). The BMI quartile was used as the column-stratified variable to determine the baseline distribution, and logistic regression analysis was used to assess the relationship between NAFLD and its risk factors, with multiple logistic regression used to assess the relationships between BMI or TG and NAFLD and multivariate linear regression used to analyze the association between BMI and TG, while mediation analysis was used to assess the mediation effect of TG. RESULTS After adjustment of all covariates, the odds ratios were 1.788 (95% CI: 1.749-1.829; p < 0.00001) and 1.491 (95% CI: 1.451-1.532; p < 0.00001) for the association between BMI and TG with NAFLD incidence. The multivariate linear regression coefficient of BMI and TG was β = 0.027 (95% CI: 0.023-0.030; p < 0.00001). Mediation analysis showed that BMI contributed to 10.81% of lean NAFLD with a mediation effect of 2.98%. CONCLUSION In a Chinese population with BMI <24 kg/m2 and normal LDL-c levels, BMI and TG were found to be independent predictors of NAFLD. The direct effect of BMI on non-obese NAFLD was 10.41%. The TG level was found to partially mediate the association.
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Affiliation(s)
- Xixi Han
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China,
- College of Integrated Traditional Chinese and Westem Medicine, Jining Medical University, Jining, China,
| | - Jingwen Kong
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- College of Integrated Traditional Chinese and Westem Medicine, Jining Medical University, Jining, China
| | - Hemin Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yuan Zhao
- College of Integrated Traditional Chinese and Westem Medicine, Jining Medical University, Jining, China
| | - Yafeng Zheng
- Health Care Centre, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chao Wei
- College of Integrated Traditional Chinese and Westem Medicine, Jining Medical University, Jining, China
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Pavel FM, Bungau SG, Tit DM, Ghitea TC, Marin RC, Radu AF, Moleriu RD, Ilias T, Bustea C, Vesa CM. Clinical Implications of Dietary Probiotic Supplement (Associated with L-Glutamine and Biotin) in Ulcerative Colitis Patients' Body Composition and Quality of Life. Nutrients 2023; 15:5049. [PMID: 38140308 PMCID: PMC10745841 DOI: 10.3390/nu15245049] [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: 10/03/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Patients with ulcerative colitis (UC) are reported to have changes in body structure, with negative impact on the course of disease. This study explored the effects of a standardized nutritional supplement containing five bacterial strains of at least five billion bacteria (Bifidobacterium infantis, Bifidobacterium animalis, Lactobacillus bulgaricus, Lactobacillus helveticus, and Enterococcus faecium), L-glutamine, and biotin on the body composition and quality of life of patients with UC. Ninety-three patients over 18 years of age with a confirmed diagnosis of UC, for whom body composition could be accurately determined, were included in this observational follow-up randomized study. These patients were split into two groups: UC-P (44 patients with dietary counselling and supplement with probiotics) and UC-NP (49 patients with dietary counselling, without supplement). Body composition was assessed using the multifrequency bioelectrical impedance device, and the quality of life related to UC was evaluated by applying the short inflammatory bowel disease questionnaire (SIBDQ). The results showed that the average value of muscular mass (MM) and sarcopenic index (SMI) significantly increased (p = 0.043, respectively, p = 0.001) and a large fraction (p = 0.001) of patients had their SMI levels normalized in the UC-P group compared with UC-NP group. The extracellular water to total body water ratio (ECW/TBW) also had significantly different mean values (p = 0.022), favoring the UC-P group. By testing the differences between the average values of body composition parameters before and after treatment, we obtained significant results in body mass index (BMI) (p = 0.046), fat free mass (FFM) (p < 0.001), and ECW/TBW ratio (p = 0.048). The SIBDQ total score increased significantly (p < 0.001) in the UC-P group and was more strongly associated with changes in body parameters. Supplementation with probiotics associated with L-glutamine and biotin can improve body composition parameters, which in turn implies an increase in the overall quality of life of patients with UC.
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Affiliation(s)
- Flavia Maria Pavel
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (F.M.P.); (A.-F.R.); (C.M.V.)
- Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy of Oradea, University of Oradea, 410073 Oradea, Romania
| | - Simona Gabriela Bungau
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (F.M.P.); (A.-F.R.); (C.M.V.)
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania;
| | - Delia Mirela Tit
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (F.M.P.); (A.-F.R.); (C.M.V.)
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania;
| | - Timea Claudia Ghitea
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania;
| | | | - Andrei-Flavius Radu
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (F.M.P.); (A.-F.R.); (C.M.V.)
- Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy of Oradea, University of Oradea, 410073 Oradea, Romania
| | - Radu Dumitru Moleriu
- Department of Mathematics, Faculty of Mathematics and Computer Science, West University of Timisoara, 300223 Timisoara, Romania;
| | - Tiberia Ilias
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania;
| | - Cristian Bustea
- Department of Surgery, Oradea County Emergency Clinical Hospital, 410169 Oradea, Romania;
| | - Cosmin Mihai Vesa
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania; (F.M.P.); (A.-F.R.); (C.M.V.)
- Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy of Oradea, University of Oradea, 410073 Oradea, Romania
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Castro EA, Silva E, Benito PJ, Neiva CM, Pessôa Filho DM. Effects of Training on Running Cost and Aerobic Capacity in Individuals with Obesity. Int J Sports Med 2023; 44:1075-1085. [PMID: 37827497 DOI: 10.1055/a-2156-7142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
This study investigated running cost (CRun), peak oxygen consumption (V̇ O2peak), and ventilatory threshold (VT1) responses to exercise programs for individuals with obesity. Ninety-four individuals (38.2±7.7 years; 33.4±2.9 kg/m²) were assigned into strength (n=24), endurance (n=26), combined (n=22), and physical activity (control, n=22) groups for 22 weeks, plus diet recommendation. The V̇ O2peak, VT1, and CRun were assessed through a maximal incremental step test. The change of V̇ O2peak in combined (9.9%) differed from the other groups, with lower values in women than men (0.7% vs. 6.2%). The VT1 change in combined (16.4%) differed from the strength (4.9%) and physical activity (1.2%) groups, with the change in endurance (12.7%) also being higher than the physical activity group. Only men in the combined group increased absolute V̇ O2peak, while both sexes increased VT1 in the endurance and combined groups. No effects for groups and sex were significant for CRun in moderate (VT1) running zones, despite CRun changes in VT1 zones correlated with the alterations of V̇ O2peak and VT1 (r²=0.29-0.59). Therefore, moderate aerobic exercise stimulus is suitable for VT1 improvement in individuals with obesity, with the increase in CRun associated to the chances of increasing V̇ O2peak in men and when combining strength with aerobic exercises.
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Affiliation(s)
- Eliane Aparecida Castro
- Department of Physical Education, Faculty of Science (FC), São Paulo State University (UNESP) at Bauru, Brazil
- LFE Research Group, Department of Health and Human Performance. Faculty of Physical Activity and Sport Science-INEF. Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Elisangela Silva
- Federal Institute of Education, Science and Technology of South of Minas Gerais - IFSULDEMINAS at Muzambinho, Brazil
| | - Pedro J Benito
- LFE Research Group, Department of Health and Human Performance. Faculty of Physical Activity and Sport Science-INEF. Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Cassiano Merussi Neiva
- Department of Physical Education, Faculty of Science (FC), São Paulo State University (UNESP) at Bauru, Brazil
- Graduate Program in Human Developmental and Technologies, Biosciences Institute (IB), São Paulo State University (UNESP) at Rio Claro, Brazil
- College of Medicine, Ribeirão Preto University, Ribeirão Preto, Brazil
| | - Dalton Müller Pessôa Filho
- Department of Physical Education, Faculty of Science (FC), São Paulo State University (UNESP) at Bauru, Brazil
- Graduate Program in Human Developmental and Technologies, Biosciences Institute (IB), São Paulo State University (UNESP) at Rio Claro, Brazil
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Cao YT, Zhang WH, Lou Y, Yan QH, Zhang YJ, Qi F, Xiang LL, Lv TS, Fang ZY, Yu JY, Zhou XQ. Sex- and reproductive status-specific relationships between body composition and non-alcoholic fatty liver disease. BMC Gastroenterol 2023; 23:364. [PMID: 37875811 PMCID: PMC10598923 DOI: 10.1186/s12876-023-02997-9] [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: 04/01/2023] [Accepted: 10/13/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND Sex and reproductive status differences exist in both non-alcoholic fatty liver disease (NAFLD) and body composition. Our purpose was to investigate the relationship between body composition and the severity of liver steatosis and fibrosis in NAFLD in different sex and reproductive status populations. METHODS This cross-sectional study included 880 patients (355 men, 417 pre-menopausal women, 108 post-menopausal women). Liver steatosis and fibrosis and body composition data were measured using FibroScan and a bioelectrical impedance body composition analyzer (BIA), respectively, and the following parameters were obtained: liver stiffness measurement (LSM), controlled attenuation parameter (CAP), waist circumference (WC), body mass index (BMI), percent body fat (PBF), visceral fat area (VFA), appendicular skeletal muscle mass (ASM), appendicular skeletal muscle mass index (ASMI), fat mass (FM), fat free mass (FFM), and FFM to FM ratio (FFM/FM). Multiple ordinal logistic regression (MOLR) was used to analyze the independent correlation between body composition indicators and liver steatosis grade and fibrosis stage in different sex and menopausal status populations. RESULTS Men had higher WC, ASM, ASMI, FFM, and FFM/FM than pre- or post-menopausal women, while pre-menopausal women had higher PBF, VFA, and FM than the other two groups (p < 0.001). Besides, men had greater CAP and LSM values (p < 0.001). For MOLR, after adjusting for confounding factors, WC (OR, 1.07; 95% CI, 1.02-1.12; P = 0.011) and FFM/FM (OR, 0.52; 95% CI, 0.31-0.89; P = 0.017) in men and visceral obesity (OR, 4.16; 95% CI, 1.09-15.90; P = 0.037) in post-menopausal women were independently associated with liver steatosis grade. WC and visceral obesity were independently associated with liver fibrosis stage in men (OR, 1.05; 95% CI, 1.01-1.09, P = 0.013; OR, 3.92; 95% CI, 1.97-7.81; P < 0.001, respectively). CONCLUSIONS Increased WC and low FFM/FM in men and visceral obesity in post-menopausal women were independent correlates of more severe liver steatosis. In addition, increased WC and visceral obesity were independent correlates of worse liver fibrosis in men. These data support the sex- and reproductive status-specific management of NAFLD.
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Affiliation(s)
- Yu-Tian Cao
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wen-Hui Zhang
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yan Lou
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
| | - Qian-Hua Yan
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
| | - Yu-Juan Zhang
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Fang Qi
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Liu-Lan Xiang
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Tian-Su Lv
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhu-Yuan Fang
- Institute of Hypertension, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jiang-Yi Yu
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China
| | - Xi-Qiao Zhou
- Department of Endocrinology, Affiliated Hospital of Nanjing, Jiangsu Province Hospital of Chinese Medicine, University of Chinese Medicine, Nanjing, China.
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Yang J, Liang C, Liu L, Wang L, Yu G. High-Fat Diet Related Lung Fibrosis-Epigenetic Regulation Matters. Biomolecules 2023; 13:biom13030558. [PMID: 36979493 PMCID: PMC10046645 DOI: 10.3390/biom13030558] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/12/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
Pulmonary fibrosis (PF) is an interstitial lung disease characterized by the destruction of the pulmonary parenchyma caused by excessive extracellular matrix deposition. Despite the well-known etiological factors such as senescence, aberrant epithelial cell and fibroblast activation, and chronic inflammation, PF has recently been recognized as a metabolic disease and abnormal lipid signature was observed both in serum and bronchoalveolar lavage fluid (BALF) of PF patients and mice PF model. Clinically, observational studies suggest a significant link between high-fat diet (HFD) and PF as manifested by high intake of saturated fatty acids (SFAs) and meat increases the risk of PF and mice lung fibrosis. However, the possible mechanisms between HFD and PF remain unclear. In the current review we emphasize the diversity effects of the epigenetic dysregulation induced by HFD on the fibrotic factors such as epithelial cell injury, abnormal fibroblast activation and chronic inflammation. Finally, we discuss the potential ways for patients to improve their conditions and emphasize the prospect of targeted therapy based on epigenetic regulation for scientific researchers or drug developers.
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Affiliation(s)
- Juntang Yang
- State Key Laboratory of Cell Differentiation and Regulation, College of Life Science, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, Henan Normal University, Xinxiang 453007, China
| | - Chenxi Liang
- State Key Laboratory of Cell Differentiation and Regulation, College of Life Science, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, Henan Normal University, Xinxiang 453007, China
| | - Lulu Liu
- State Key Laboratory of Cell Differentiation and Regulation, College of Life Science, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, Henan Normal University, Xinxiang 453007, China
| | - Lan Wang
- State Key Laboratory of Cell Differentiation and Regulation, College of Life Science, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, Henan Normal University, Xinxiang 453007, China
| | - Guoying Yu
- State Key Laboratory of Cell Differentiation and Regulation, College of Life Science, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, Henan Normal University, Xinxiang 453007, China
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Li W, Wang Y, He F, Liu Z, Dong J, Zhang Y, Li T, Liu S, Chen E. Association between triglyceride-glucose index and nonalcoholic fatty liver disease in type 2 diabetes mellitus. BMC Endocr Disord 2022; 22:261. [PMID: 36289536 PMCID: PMC9597972 DOI: 10.1186/s12902-022-01172-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/24/2022] [Accepted: 10/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Lipid and glucose metabolism abnormalities are associated with nonalcoholic fatty liver disease (NAFLD). The triglyceride-glucose (TyG) index is a recently developed indicator that can identify individuals at risk for NAFLD. However, the applicability of the TyG index for identifying NAFLD in patients with type 2 diabetes mellitus (T2DM) is unclear. The aim of this study was to investigate the ability of the TyG index to identify individuals at risk for NAFLD in the T2DM population. METHODS A total of 2280 participants with T2DM were recruited in this cross-sectional study. The TyG index was calculated, and NAFLD was diagnosed by ultrasonography. Binary logistic regression models were used to evaluate the association of the TyG index, glycemic parameters and lipid parameters with NAFLD. RESULTS Logistic regression analysis showed that the TyG index was significantly associated with NAFLD in subjects with T2DM, the odds ratio (OR) were 3.27 (95% confidence interval [CI], 2.03-5.27; P < 0.001) for NAFLD in the highest TyG quartile after adjustment for known confounders. In stratified analysis, an elevated TyG index were more remarkably associated with NAFLD in younger patients (< 65 years; OR, 2.35; 95% CI, 1.83-3.02; P < 0.001), females (OR, 2.69; 95% CI, 1.67-4.32; P < 0.001), patients with BMI < 25 kg/m2 (OR, 2.80; 95% CI, 2.01-3.91; P < 0.0001), and with lower high-density lipoprotein cholesterol (< 1 mmol/L; OR, 2.76; 95% CI, 1.98-3.83; P < 0.001). CONCLUSION The TyG index is significantly associated with NAFLD and shows superior ability for identify NAFLD risk compared with other lipid and glycemic parameters in T2DM.
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Affiliation(s)
- Wei Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Yan Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Feng He
- Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China
| | - Zhuo Liu
- Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China
| | - Jie Dong
- Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China
| | - Yuqi Zhang
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Tianfang Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Shengyun Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
| | - En Chen
- Department of Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan Province, China.
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Said MA, Alhumaid MM, Atta II, Al-Sababha KM, Abdelrahman MA, Alibrahim MS. Lower fitness levels, higher fat-to-lean mass ratios, and lower cardiorespiratory endurance are more likely to affect the body mass index of Saudi children and adolescents. Front Public Health 2022; 10:984469. [PMID: 36276343 PMCID: PMC9582435 DOI: 10.3389/fpubh.2022.984469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/12/2022] [Indexed: 01/25/2023] Open
Abstract
Background Several studies suggest that health-related physical fitness may play a prominent role in preventing obesity in children and adolescents. Objectives The present study examined fitness levels using five components of health-related fitness in Saudi students aged 10-17 years (fat-to-lean mass ratio, cardiorespiratory endurance, upper body strength and endurance, abdominal muscle strength and endurance, and flexibility). Subsequently, the association between BMI and a health-related fitness index (HR-PFI) based on the five fitness components was investigated. Methods The study was conducted on 1,291 students with a mean age of 12.95 ± 1.72 years. Participants included 1,030 boys aged 12.80 ± 1.79 years, with 479 young boys (11.24 ± 0.81b years), and 551 adolescents (14.16 ± 1.21 years). Moreover, the study examined 261 girls averaging 13.54 ± 1.2 years old, with 66 young girls (11.92 ± 0.27 years), and 195 teenage girls (14.09 ± 0.85 years). Each participant's health-related fitness level was assessed by the following tests: Bioelectrical Impedance Analyzer (BIA) for body composition, one-mile run/walk test for cardiorespiratory endurance, curl-up test for abdominal muscle strength and endurance (AMSE), push-up test for upper body strength and endurance (UBSE), and back-saver sit-and-reach test for flexibility. Results The overall prevalence of overweight and obesity was 10.4 and 24.7% in boys and 10 and 8.4% in girls, respectively. The mean Z-scores of performances decreased from the underweight to the obese groups. BMI was positively associated with the ratio of fat mass to lean mass and negatively associated with cardiorespiratory endurance in the overall group of participants as well as in the subgroups by sex and age categories. BMI was also negatively associated with flexibility and HR-PFI in the total group, UBSE, AMSE, and HR-PFI in prepubertal boys, and UBSE in prepubertal girls. The coefficient of determination values was 0.65 in the total group, 0.72 in prepubertal boys, 0.863 in adolescent boys, 0.956 in prepubertal girls, and 0.818 in adolescent girls. Conclusions Overall health-related physical fitness, fat-to-lean mass ratio, and cardiorespiratory endurance are the factors that most affect BMI in Saudi students aged 10 to 17.
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Affiliation(s)
- Mohamed Ahmed Said
- Department of Physical Education, College of Education, King Faisal University, Al-Ahsa, Saudi Arabia,Higher Institute of Sport and Physical Education of Kef, Jendouba University, Jendouba, Tunisia,*Correspondence: Mohamed Ahmed Said ; ;
| | - Majed M. Alhumaid
- Department of Physical Education, College of Education, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Ibrahim I. Atta
- Department of Physical Education, College of Education, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Khairi Mahmoud Al-Sababha
- Department of Physical Education, College of Education, King Faisal University, Al-Ahsa, Saudi Arabia
| | | | - Mohammed Shaab Alibrahim
- Department of Physical Education, College of Education, King Faisal University, Al-Ahsa, Saudi Arabia
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9
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Tang A, Ng CH, Phang PH, Chan KE, Chin YH, Fu CE, Zeng RW, Xiao J, Tan DJH, Quek J, Lim WH, Mak LY, Wang JW, Chew NWS, Syn N, Huang DQ, Siddiqui MS, Sanyal A, Muthiah M, Noureddin M. Comparative Burden of Metabolic Dysfunction in Lean NAFLD vs Non-lean NAFLD - A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2022:S1542-3565(22)00669-3. [PMID: 35863685 DOI: 10.1016/j.cgh.2022.06.029] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/02/2022] [Accepted: 06/05/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease (NAFLD) is traditionally associated with obesity. However, there is a subtype of NAFLD, namely NAFLD in lean, that occurs without obesity. However, a recent call to redefine NAFLD to metabolic-associated fatty liver disease focuses on obesity and metabolic dysfunction. Criticism has arisen from the perceived over emphasis on systemic comorbidities, which may disadvantage the lean. The current analysis seeks to quantify the degree of metabolic dysfunction in NAFLD in lean and compare with NAFLD in overweight and obese and non-NAFLD. METHODS Medline and Embase databases were searched from inception to March 3, 2022. The inclusion criteria were articles with NAFLD in lean patients presenting with baseline metabolic parameters. Comparisons were conducted with subgroup analysis. RESULTS Eighty-five articles were included in the meta-analysis. NAFLD in lean accounted for 13.11% (95% confidence interval [CI], 10.26%-16.62%) of the global population and 14.55% (95% CI, 11.32%-18.51%) in Asia. The degree of metabolic dysfunction was weight dependent with significantly less metabolic dysfunction in NAFLD in lean subjects as compared with NAFLD in overweight counterparts. For NAFLD in lean, only 19.56% (95% CI, 15.28%-24.69%) of the subjects were diabetic, whereas 45.70% (95% CI, 35.01%-56.80%) of obese subjects with NAFLD had diabetes (P < .01). Fasting blood glucose and systolic and diastolic blood pressure values were significantly lower in subjects with NAFLD in lean than in overweight and obese. CONCLUSION The current analysis highlights the weight-dependent nature of metabolic dysfunction in NAFLD. Lean subjects with NAFLD were significantly less metabolically unhealthy than were obese and overweight persons with NAFLD. An overreliance on metabolic dysfunction in defining fatty liver will be a flaw in potentially excluding previously characterized NAFLD.
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Affiliation(s)
- Ansel Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Poh Hui Phang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Clarissa Elysia Fu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lung Yi Mak
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Jiong-Wei Wang
- Department of Surgery, Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Nicholas W S Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Nicholas Syn
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Daniel Q Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Arun Sanyal
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Mazen Noureddin
- Cedars-Sinai Fatty Liver Program, Division of Digestive and Liver Diseases, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Centre, Los Angeles, California.
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10
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He Q, Xia B, Liu A, Li M, Zhou Z, Cheung EC, Kuo ZC, Wang B, Li F, Tang Y, Zheng Z, Sun R, Hu YJ, Meng W, He Y, Yuan J, Zhang C. Association of body composition with risk of overall and site-specific cancers: A population-based prospective cohort study. Int J Cancer 2021; 149:1435-1447. [PMID: 34019699 DOI: 10.1002/ijc.33697] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/09/2021] [Accepted: 04/23/2021] [Indexed: 11/12/2022]
Abstract
Although excess adiposity has been linked with various cancers, association between body composition and some cancers remains unclear, like lung and prostate cancers. We investigated associations of body composition with risk of overall cancer and major site-specific cancers in a prospective cohort of 454 079 cancer-free participants from UK-Biobank. Body composition was measured with bioimpedance analysis. We evaluated hazard ratio (HR) and 95% confidence interval (CI) with multivariate Cox linear and nonlinear models in men and women separately. We identified 27 794 cancers over 7.6 years of follow-up. Multivariable adjusted models including fat-free mass (FFM) and fat mass (FM) showed that FFM was positively associated with overall cancer risk in men and women (HR 1.03, 95% CI 1.01-1.04 and 1.07, 1.04-1.10, respectively); while the association between FM and overall cancer disappeared after adjusting for FFM. FFM was associated with higher risks of obesity-related cancers combined, stomach (women only), malignant melanoma, postmenopausal breast, corpus uteri, prostate, kidney (men only), and blood cancers and lower risk of lung cancer. FM was associated with higher risks of obesity-related cancers combined, esophageal, colon, lung (men only), postmenopausal breast (at the lower end of FM range), and corpus uteri cancers and lower risks of rectal, malignant melanoma (women only), prostate and blood cancers. FFM and FM seemed to have different effects on cancer risk, and the effects varied substantially by cancer type, in both direction and size. Higher FM/FFM ratio was also associated with some cancers risk, and might be a useful predictor of cancer risk.
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Affiliation(s)
- Qiangsheng He
- Clinical Research Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bin Xia
- Clinical Research Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Anran Liu
- Department of Nutriology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Min Li
- Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Zhijun Zhou
- Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Eddie C Cheung
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Division of Gastroenterology, School of Medicine, University of California Davis, Davis, California, USA
| | - Zi Chong Kuo
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bo Wang
- Department of Oncology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Fangping Li
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yan Tang
- Clinical Research Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zilong Zheng
- Mega Data Application Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Rui Sun
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Division of Biostatistics, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Yanhong Jessika Hu
- Department of Pediatrics, The University of Melbourne, Melbourne, Australia
| | - Wenbo Meng
- Special Minimally Invasive Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yulong He
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Clinical Research Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Changhua Zhang
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
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11
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Fat-to-Muscle Ratios and the Non-Achievement of LDL Cholesterol Targets: Analysis of the Korean Genome and Epidemiology Study. J Cardiovasc Dev Dis 2021; 8:jcdd8080096. [PMID: 34436238 PMCID: PMC8396939 DOI: 10.3390/jcdd8080096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 08/05/2021] [Accepted: 08/10/2021] [Indexed: 12/18/2022] Open
Abstract
Maintaining optimal low-density lipoprotein (LDL) cholesterol levels is necessary to prevent cardiovascular disease (CVD). Excessive fat mass and decreased muscle mass are both associated with increased risks of developing dyslipidemia. Thus, we investigated the longitudinal relationship between the fat-to-muscle ratio (FMR) and the non-achievement of LDL cholesterol targets. We analyzed a total of 4386 participants aged 40–69 years from the Korean Genome and Epidemiology Study. FMR was defined as the ratio of total fat mass to total muscle mass, measured by bioelectrical impedance. The non-achievement of an LDL cholesterol target was defined as an LDL cholesterol level higher than the established target level according to individual CVD risk. The adjusted hazard ratios and 95% confidence interval for the incidence of non-achievement of LDL cholesterol targets for the sex-specific middle and highest tertiles vs. the referent lowest tertile of FMR were 1.56 (1.29–1.90) and 1.86 (1.47–2.31) in men and 1.40 (1.18–1.66) and 1.31 (1.06–1.62) in women after adjusting confounders. Our findings suggest that FMR, a novel indicator of the combined effects of fat and muscle mass, is useful for predicting non-achievement of LDL cholesterol targets.
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12
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The Possibility of Using Bioelectrical Impedance Analysis in Pregnant and Postpartum Women. Diagnostics (Basel) 2021; 11:diagnostics11081370. [PMID: 34441305 PMCID: PMC8391189 DOI: 10.3390/diagnostics11081370] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/22/2021] [Accepted: 07/29/2021] [Indexed: 12/14/2022] Open
Abstract
Pregnancy is a time of significant changes occurring in the composition of a woman’s body in order to provide support for the growth and development of the foetus. Bioelectrical impedance analysis (BIA) is used to assess the body composition and hydration status. This technique represents a non-invasive, reliable, and fast clinical approach, which is well tolerated by patients. A segmental impedance measurement might be advantageous in pregnant women, particularly in late pregnancy. The purpose of this paper is to provide a review of different applications of BIA in pregnant and postpartum women. It seems that BIA has a better prognostic potential for gestational and post-partum outcomes than body mass index. The BIA method can be successfully used to study the effect of excessive gestational weight gain in pregnancy on the development of obstetric complications. Studying the mother’s body composition and correlating it with her energy balance could facilitate the development of dietary recommendations for women. Evaluation of the body composition can provide important clues for diagnosis of gestational diabetes mellitus in pregnant women with a low risk of this disease. BIA is also used as one of the additional tests in assessing the risk of developing gestational hypertension and preeclampsia.
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13
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Merchant RA, Seetharaman S, Au L, Wong MWK, Wong BLL, Tan LF, Chen MZ, Ng SE, Soong JTY, Hui RJY, Kwek SC, Morley JE. Relationship of Fat Mass Index and Fat Free Mass Index With Body Mass Index and Association With Function, Cognition and Sarcopenia in Pre-Frail Older Adults. Front Endocrinol (Lausanne) 2021; 12:765415. [PMID: 35002957 PMCID: PMC8741276 DOI: 10.3389/fendo.2021.765415] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/02/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Body mass index (BMI) is an inadequate marker of obesity, and cannot distinguish between fat mass, fat free mass and distribution of adipose tissue. The purpose of this study was twofold. First, to assess cross-sectional relationship of BMI with fat mass index (FMI), fat free mass index (FFMI) and ratio of fat mass to fat free mass (FM/FFM). Second, to study the association of FMI, FFMI and FM/FFM with physical function including sarcopenia, and cognition in pre-frail older adults. METHODS Cross-sectional study of 191 pre-frail participants ≥ 65 years, 57.1% females. Data was collected on demographics, cognition [Montreal Cognitive Assessment (MoCA)], function, frailty, calf circumference, handgrip strength (HGS), short physical performance battery (SPPB) and gait speed. Body composition was measured using InBody S10. FMI, FFMI and FM/FFM were classified into tertiles (T1, T2, T3) with T1 classified as lowest and T3 highest tertile respectively and stratified by BMI. RESULTS Higher FFMI and lower FM/FFM in the high BMI group were associated with better functional outcomes. Prevalence of low muscle mass was higher in the normal BMI group. FMI and FM/FFM were significantly higher in females and FFMI in males with significant gender differences except for FFMI in ≥ 80 years old. Small calf circumference was significantly less prevalent in the highest tertile of FMI, FM/FMI and FFMI. Prevalence of sarcopenic obesity and low physical function (HGS, gait speed and SPPB scores) were significantly higher in the highest FMI and FM/FFM tertile. Highest FFMI tertile group had higher physical function, higher MoCA scores, lower prevalence of sarcopenic obesity and sarcopenia, After adjustment, highest tertile of FFMI was associated with lower odds of sarcopenia especially in the high BMI group. Highest tertile of FM/FFM was associated with higher odds of sarcopenia. Higher BMI was associated with lower odds of sarcopenia. CONCLUSION FFMI and FM/FFM may be a better predictor of functional outcomes in pre-frail older adults than BMI. Cut-off values for healthy BMI values and role of calf circumference as a screening tool for sarcopenia need to be validated in larger population. Health promotion intervention should focus on FFMI increment.
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Affiliation(s)
- Reshma Aziz Merchant
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- *Correspondence: Reshma Aziz Merchant, orcid.org/0000-0002-9032-018
| | - Santhosh Seetharaman
- Healthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore, Singapore
| | - Lydia Au
- Department of Geriatrics Medicine, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Michael Wai Kit Wong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Beatrix Ling Ling Wong
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Li Feng Tan
- Healthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore, Singapore
| | - Matthew Zhixuan Chen
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Shu Ee Ng
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - John Tshon Yit Soong
- Division of Advanced Internal Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Richard Jor Yeong Hui
- National University Polyclinics, National University Health System, Singapore, Singapore
| | - Sing Cheer Kwek
- National University Polyclinics, National University Health System, Singapore, Singapore
| | - John E. Morley
- Division of Geriatric Medicine, Saint Louis University School of Medicine, St. Louis, MO, United States
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