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Lu Z, Hu Y, Chen X, Ou Q, Liu Y, Xu T, Tu J, Li A, Lin B, Liu Q, Xi T, Wang W, Huang H, Xu D, Chen Z, Wang Z, He H, Shan G. Sex-specific associations between total and regional Fat-to-muscle Mass ratio and cardiometabolic risk: findings from the China National Health Survey. Nutr J 2024; 23:104. [PMID: 39252042 PMCID: PMC11385979 DOI: 10.1186/s12937-024-01007-2] [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: 04/19/2024] [Accepted: 08/28/2024] [Indexed: 09/11/2024] Open
Abstract
BACKGROUND The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs). METHODS 13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs. RESULTS The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05). CONCLUSIONS FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.
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Affiliation(s)
- Zhiming Lu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Xingming Chen
- Department of Otolaryngology-Head and Neck Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Qiong Ou
- Sleep Center, Department of Respiratory and Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yawen Liu
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, China
| | - Tan Xu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Ji Tu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ang Li
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Qihang Liu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Tianshu Xi
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Weihao Wang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Haibo Huang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Da Xu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Zhili Chen
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Zichao Wang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China.
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China.
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Song K, Seol EG, Yang H, Jeon S, Shin HJ, Chae HW, Kim EK, Kwon YJ, Lee JW. Bioelectrical impedance parameters add incremental value to waist-to-hip ratio for prediction of metabolic dysfunction associated steatotic liver disease in youth with overweight and obesity. Front Endocrinol (Lausanne) 2024; 15:1385002. [PMID: 38883602 PMCID: PMC11177119 DOI: 10.3389/fendo.2024.1385002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024] Open
Abstract
Introduction Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing health concern in pediatric populations due to its association with obesity and metabolic syndrome. Bioelectrical impedance analysis (BIA) offers a non-invasive and potentially effective alternative for identifying MASLD risk in youth with overweight or obesity. Therefore, this study aimed to assess the utility of BIA for screening for MASLD in the youth. Method This retrospective, cross-sectional study included 206 children and adolescents aged <20 years who were overweight and obese. The correlations between anthropometric measurements and BIA parameters and alanine aminotransferase (ALT) levels were assessed using Pearson's correlation analysis. Logistic regression analysis was performed to examine the associations between these parameters and ALT level elevation and MASLD score. Receiver operating characteristic (ROC) curves were generated to assess the predictive ability of the parameters for MASLD. Results Pearson's correlation analysis revealed that waist-to-hip ratio (WHR), percentage body fat (PBF), and BIA parameters combined with anthropometric measurements were correlated with ALT level. Logistic regression revealed that WHR, skeletal muscle mass/WHR, PBF-WHR, fat-free mass/WHR, and appendicular skeletal muscle mass/WHR were correlated with ALT level elevation after adjusting for age, sex, and puberty. WHR, PBF-WHR, and visceral fat area (VFA)-WHR were positively correlated with the MASLD score in the total population after adjusting for age, sex, and puberty. PBF-WHR and VFA-WHR were correlated with the MASLD score even in youth with a normal ALT level. The cutoff points and area under the ROC curves were 34.6 and 0.69 for PBF-WHR, respectively, and 86.6 and 0.79 for VFA-WHR, respectively. Discussion This study highlights the utility of combining BIA parameters and WHR in identifying the risk of MASLD in overweight and obese youth, even in those with a normal ALT level. BIA-based screening offers a less burdensome and more efficient alternative to conventional MASLD screening methods, facilitating early detection and intervention in youth at risk of MASLD.
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Affiliation(s)
- Kyungchul Song
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Gyung Seol
- Department of Pediatrics, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Hyejin Yang
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soyoung Jeon
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Joo Shin
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Hyun Wook Chae
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun-Kyung Kim
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Yu-Jin Kwon
- Department of Family Medicine, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin-si, Republic of Korea
| | - Ji-Won Lee
- Department of Family Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea
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Agius R, Pace NP, Fava S. Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight. Diabetes Metab Res Rev 2024; 40:e3725. [PMID: 37792999 DOI: 10.1002/dmrr.3725] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 07/23/2023] [Accepted: 08/11/2023] [Indexed: 10/06/2023]
Abstract
Over the past 4 decades, research has shown that having a normal body weight does not automatically imply preserved metabolic health and a considerable number of lean individuals harbour metabolic abnormalities typically associated with obesity. Conversely, excess adiposity does not always equate with an abnormal metabolic profile. In fact, evidence exists for the presence of a metabolically unhealthy normal weight (MUHNW) and a metabolically healthy obese (MHO) phenotype. It has become increasingly recognised that different fat depots exert different effects on the metabolic profile of each individual by virtue of their location, structure and function, giving rise to these different body composition phenotypes. Furthermore, other factors have been implicated in the aetiopathogenesis of the body composition phenotypes, including genetics, ethnicity, age and lifestyle/behavioural factors. Even though to date both MHO and MUHNW have been widely investigated and documented in the literature, studies report different outcomes on long-term cardiometabolic morbidity and mortality. Future large-scale, observational and population-based studies are required for better profiling of these phenotypes as well as to further elucidate the pathophysiological role of the adipocyte in the onset of metabolic disorders to allow for better risk stratification and a personalised treatment paradigm.
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Affiliation(s)
- Rachel Agius
- University of Malta Medical School, Msida, Malta
- Mater Dei Hospital, Msida, Malta
| | | | - Stephen Fava
- University of Malta Medical School, Msida, Malta
- Mater Dei Hospital, Msida, Malta
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Silveira EA, Vinícius-Souza G, Pereira CC, de Oliveira C, Noll M, Pagotto V. Osteosarcopenia later in life: Prevalence and associated risk factors. Clin Nutr ESPEN 2023; 58:213-220. [PMID: 38057009 DOI: 10.1016/j.clnesp.2023.08.030] [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: 09/20/2022] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND AND AIMS The identification of risk factors for osteosarcopenia in older adults is important for planning preventative strategies in clinical practice. Therefore, our study aimed to investigate the prevalence and risk factors associated with osteosarcopenia in older adults using different diagnostic criteria. METHODS The sample included 171 community-dwelling older adults with a mean age of 79.4 ± 5.9 years and mean body mass index of 25.67 ± 4.70 kg/m2. We analyzed sociodemographic, biomarkers, lifestyle, and health condition data from participants of the "Projeto Idosos - Goiânia" cohort study. The outcome osteosarcopenia was defined as the simultaneous occurrence of sarcopenia and osteopenia. Osteopenia was diagnosed by low lumbar spine bone mineral density (BMD) using dual-energy X-ray absorptiometry (DEXA). Sarcopenia was diagnosed using handgrip dynamometry and appendicular skeletal mass index assessed by DEXA following the criteria of the two European consensuses on sarcopenia (2010 and 2018). Two osteosarcopenia outcome variables were evaluated: OsteoSarc1 and OsteoSarc2 using the 2010 and 2018 European sarcopenia consensus criteria, respectively. Multivariate Poisson regression analysis was used to calculate the prevalence ratios (PRs). RESULTS The prevalence of OsteoSarc1 and OsteoSarc2 were 12.8% and 7.2%, respectively, with no significant gender differences. OsteoSarc1 was associated with low potassium (PR: 3.39, 95% confidence interval [CI]: 1.10-10.43) and malnutrition (PR: 3.84, 95% CI: 1.78-8.30). OsteoSarc2 was associated with being ≥80 years (PR: 7.64, 95% CI: 1.57-37.07), >4 years of education (PR: 3.25, 95% CI: 1.03-10.22), alcohol consumption (PR: 2.41, 95% CI: 1.01-5.77), low potassium (PR: 2.22, 95% CI: 1.45-6.87), low serum vitamin D (PR: 4.47, 95% CI: 1.68-11.88), and malnutrition (PR: 5.00, 95% CI: 1.06-23.51). CONCLUSIONS OsteoSarc1 had a higher prevalence. The risk factors associated with the two outcomes were malnutrition and potassium level, as well as other risk factors, such as alcohol consumption and low vitamin D level. These findings may contribute to the prevention or treatment of this health condition in older adults.
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Affiliation(s)
- Erika A Silveira
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil; Department of Epidemiology & Public Health, University College London, London, UK.
| | - Guilherme Vinícius-Souza
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil
| | - Cristina Camargo Pereira
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil
| | - Cesar de Oliveira
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Matias Noll
- Goiano Federal Institute, Ceres, Goiás, Brazil.
| | - Valéria Pagotto
- Graduate Program in Nursing, School of Nursing, Federal University of Goiás, Goiânia, Brazil
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Khaleghi MM, Jamshidi A, Afrashteh S, Emamat H, Farhadi A, Nabipour I, Jalaliyan Z, Malekizadeh H, Larijani B. The association of body composition and fat distribution with hypertension in community-dwelling older adults: the Bushehr Elderly Health (BEH) program. BMC Public Health 2023; 23:2001. [PMID: 37833665 PMCID: PMC10576374 DOI: 10.1186/s12889-023-16950-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND A significant proportion of the global burden of disability and premature mortality has caused by hypertension. It seems that the relationship between obesity and hypertension is not only associated with excessive body fat mass (FM) but also with body adipose distribution patterns. The present study investigated the association between regional fat distribution using dual-energy X-ray absorptiometry and hypertension in older adults. METHODS This cross-sectional study was performed using the data from Bushehr Elderly Health Program (BEH) on a total of 2419 participants aged 60 and over. Hypertension was defined as SBP of at least 140 mmHg and/or DBP of at least 90 mmHg. SBP between 120 and 139 mmHg and/or a DBP between 80 and 89 mmHg were considered prehypertension. Participants underwent body composition measurement by dual-energy x-ray absorptiometry to analyze FM, fat-free mass (FFM) in trunk and extremities composition. RESULTS The results showed that 460 (19.02%) of participants had prehypertension, and 1,818 (75.15% ) had hypertension. The odds of having prehypertension (OR: 1.06, 95%CI: 1.01-1.12) and hypertension (OR: 1.08, 95%CI: 1.03-1.13) increased with a rise in total body FM percentage. Moreover, people with a higher FM to FFM ratio had increased odds of being prehypertensive (OR: 9.93, 95%CI: 1.28-76.99) and hypertensive (OR: 16.15, 95%CI: 2.47-105.52). Having a higher android to gynoid FM ratio was related to increased odds of being prehypertensive and hypertensive. CONCLUSIONS This study showed that a higher body FM, particularly in the android region, is associated with higher odds of having hypertension in older adults.
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Affiliation(s)
| | - Ali Jamshidi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
- Department of Nutritional Sciences, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Sima Afrashteh
- Department of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Hadi Emamat
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
- Department of Nutritional Sciences, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Akram Farhadi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
| | - Iraj Nabipour
- The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | | | - Hasan Malekizadeh
- School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Chen DZ, Ganapathy A, Nayak Y, Mejias C, Bishop GL, Mellnick VM, Ballard DH. Analysis of Superficial Subcutaneous Fat Camper's and Scarpa's Fascia in a United States Cohort. J Cardiovasc Dev Dis 2023; 10:347. [PMID: 37623360 PMCID: PMC10455117 DOI: 10.3390/jcdd10080347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
Together, the Camper's and Scarpa's fasciae form the superficial fat layer of the abdominal wall. Though they have clinical and surgical relevance, little is known about their role in body composition across diverse patient populations. This study aimed to determine the relationship between patient characteristics, including sex and body mass index, and the distribution of Camper's and Scarpa's fascial layers in the abdominal wall. A total of 458 patients' abdominal CT examinations were segmented via CoreSlicer 1.0 to determine the surface area of each patient's Camper's, Scarpa's, and visceral fascia layers. The reproducibility of segmentation was corroborated by an inter-rater analysis of segmented data for 20 randomly chosen patients divided between three study investigators. Pearson correlation and Student's t-test analyses were performed to characterize the relationship between fascia distribution and demographic factors. The ratios of Camper's fascia, both as a proportion of superficial fat (r = -0.44 and p < 0.0001) and as a proportion of total body fat (r = -0.34 and p < 0.0001), showed statistically significant negative correlations with BMI. In contrast, the ratios of Scarpa's fascia, both as a proportion of superficial fat (r = 0.44 and p < 0.0001) and as a proportion of total body fat (r = 0.41 and p < 0.0001), exhibited statistically significant positive correlations with BMI. Between sexes, the females had a higher ratio of Scarpa's facia to total body fat compared to the males (36.9% vs. 31% and p < 0.0001). The ICC values for the visceral fat, Scarpa fascia, and Camper fascia were 0.995, 0.991, and 0.995, respectively, which were all within the 'almost perfect' range (ICC = 0.81-1.00). These findings contribute novel insights by revealing that as BMI increases the proportion of Camper's fascia decreases, while the ratio of Scarpa's fascia increases. Such insights expand the scope of body composition studies, which typically focus solely on superficial and visceral fat ratios.
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Affiliation(s)
- David Z. Chen
- School of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (D.Z.C.); (A.G.)
| | - Aravinda Ganapathy
- School of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (D.Z.C.); (A.G.)
| | - Yash Nayak
- School of Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA;
| | - Christopher Mejias
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.M.); (G.L.B.); (V.M.M.)
| | - Grace L. Bishop
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.M.); (G.L.B.); (V.M.M.)
| | - Vincent M. Mellnick
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.M.); (G.L.B.); (V.M.M.)
| | - David H. Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.M.); (G.L.B.); (V.M.M.)
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Brian MS, Blier AR, Alward BM, Waite EE, D'Amelio MP, Shaw MA, O'Neill DF, Chaidarun SS. Excess adiposity contributes to higher ambulatory central blood pressure and arterial stiffness in physically inactive young adults. J Sports Med Phys Fitness 2023; 63:912-920. [PMID: 37158798 PMCID: PMC11382482 DOI: 10.23736/s0022-4707.23.14860-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
BACKGROUND It remains unknown if physical inactivity and excess adiposity increases 24-h central blood pressure and arterial stiffness in young adults. This study examined 24-h central blood pressure and indirect measures of arterial stiffness (e.g., central pulse pressure) in physically inactive young adults with and without excess adiposity. METHODS Body fat and ambulatory 24-h blood pressure were measured in 31 young adults (men: 22±4 years, N.=15; women: 22±5 years, N=16). Multi-frequency bioelectrical impedance measured body fat. Normal adiposity was defined as <20% body fat in men and <32% body fat in women, whereas excess adiposity was defined as ≥20% and ≥32% in men and women, respectively. Ambulatory 24-h central blood pressure was calculated based on brachial blood pressure and volumetric displacement waveforms. RESULTS By design, the normal adiposity group had a lower body fat percentage (men: 15.5±4.6%; women: 20.8±2.5%) compared to the physically inactive excess adiposity group (men: 29.8±5.4%; women: 34.3±7.5%). Men and women with excess adiposity group had elevated central blood pressure (central systolic, P<0.05 vs. normal adiposity groups). Central pulse pressure was elevated in the excess adiposity group (men: 45±5 mmHg; women: 41±9 mmHg) compared to normal adiposity groups (men: 36±4 mmHg; women: 32±3 mmHg, P<0.05 for both), while other arterial stiffness (augmentation index and ambulatory arterial stiffness index) measures trended toward significance only in men with excess adiposity. CONCLUSIONS Physically inactive men and women with excess adiposity have increased 24h central blood pressure and pulse pressure compared to physically inactive young adults with normal adiposity.
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Affiliation(s)
- Michael S Brian
- Department Health and Human Performance, Plymouth State University, Plymouth, NH, USA -
- Department of Kinesiology, University of New Hampshire, Durham, NH, USA -
| | - Amanda R Blier
- Department Health and Human Performance, Plymouth State University, Plymouth, NH, USA
| | - Braeden M Alward
- Department Health and Human Performance, Plymouth State University, Plymouth, NH, USA
| | - Emily E Waite
- Department of Kinesiology, University of New Hampshire, Durham, NH, USA
| | - Maison P D'Amelio
- Department of Kinesiology, University of New Hampshire, Durham, NH, USA
| | - Marialena A Shaw
- Department Health and Human Performance, Plymouth State University, Plymouth, NH, USA
| | | | - Sushela S Chaidarun
- Endocrine Section, Department of Medicine, Dartmouth Hitchcock Medical Center, Dartmouth, NH, USA
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8
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Kucukdag HN, Sonmez CI. The Relationship of Body Fat Ratio to Anthropometric and Metabolic Parameters in Normal Weight and Overweight Women; The Concept of Normal Weight Obesity. EURASIAN JOURNAL OF FAMILY MEDICINE 2023. [DOI: 10.33880/ejfm.2023120104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
Aim: We aimed to underline the importance of “normal weight obesity concept”, prevent the overlooking of Normal Weight Obesity patients, administrate their treatments and explain them the risks regarding their future lives along with making emphasis on the necessity of change in polyclinical practices about the subject.
Methods: We selected 200 female patients that were either normal or overweighted for this study. Patients have been divided into 4 groups with respect to their body mass index and body fat percent values. Differences of bioelectrical impedance analysis measurements between the groups, relation of the anthropometric and metabolic parameters and those parameters’ inner correlations have been inspected.
Results: Serum levels of fasting plasma glucose, insulin, HOMA-IR, total cholesterol, LDL, triglyceride and TSH were higher in “Normal Weight Obesity” subjects than “Normal Weight Lean” subjects. The mean LDL levels were found to be higher in the Normal Weight Obesity group compared to the other groups and it was found to be statistically significant. Body fat percent was positively correlated to insulin, HOMA-IR, visceral fat rating, waist – hip circumferences, waist to height – hip to height ratios.
Conclusion: The importance of measurement of body fat percent and not to overlook the Normal Weight Obesity patients should be emphasized once more. Therefore, in the primary care, during public screening and polyclinical assessment states, patients should be checked for obesity with not only measuring their weights and heights, but also detection of their detailed body composition.
Keywords: obesity, body fat distribution, waist to height ratio
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Anderson KC, Hirsch KR, Peterjohn AM, Blue MNM, Pihoker AA, Ward DS, Ondrak KS, Smith-Ryan AE. Characterization and prevalence of obesity among normal weight college students. Int J Adolesc Med Health 2023; 35:81-88. [PMID: 33155992 DOI: 10.1515/ijamh-2020-0240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/06/2020] [Indexed: 11/15/2022]
Abstract
Normal weight obesity (NWO) describes individuals who have a normal weight body mass index (BMI), but have an unhealthy amount of body fat. Based on the life-long habits that develop during college, exploring NWO among a college-aged population may be essential in identifying and preventing obesity that develops in early adulthood. This study aimed to characterize NWO among young adults with normal weight BMI. 94 college students (Mean ± SD: Age: 19.6 ± 1.5 yrs; BMI: 21.9 ± 1.8 kg/m2) enrolled during the Fall semester (Aug-Oct) were assessed for body composition by dual energy X-ray absorptiometry to determine body fat percentage, fat mass, lean mass and trunk fat; lifestyle habits were characterized from validated questionnaires. Mean arterial pressure and metabolic biomarkers [total cholesterol, high density lipoproteins, non-high density lipoproteins, and glucose] were evaluated for cardiometabolic health. NWO was defined using data from the National Health and Nutrition Examination Survey (NHANES) for body fat percentage. Data was analyzed by group (NWO vs NWL) and sex. with independent t-tests to investigate continuous data, and chi-square test of independence for categorical data. Rates of NWO for the total sample were 13.8%. Males (n=30) had a higher rate of NWO (26.7%) compared to females (n=64; 7.8%). NWO individuals had higher fat mass (p=0.024), trunk fat (p<0.001), and larger waist to hip ratio (p<0.001) than normal weight lean. NWO also engaged in less vigorous physical activity (p=0.043). The occurrence of NWO among otherwise healthy college students is evident. Identification of these individuals may be an effective component for obesity prevention and treatment. Determining feasible methods to measure body fat in this population is essential, as BMI may mask obesity in a young adult population.
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Affiliation(s)
- Kara C Anderson
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Katie R Hirsch
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
| | - Austin M Peterjohn
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Malia N M Blue
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
| | - Alexis A Pihoker
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Dianne S Ward
- Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Kristin S Ondrak
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
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10
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Are Women with Normal-Weight Obesity at Higher Risk for Cardiometabolic Disorders? Biomedicines 2023; 11:biomedicines11020341. [PMID: 36830878 PMCID: PMC9953250 DOI: 10.3390/biomedicines11020341] [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: 12/15/2022] [Revised: 01/07/2023] [Accepted: 01/12/2023] [Indexed: 01/27/2023] Open
Abstract
OBJECTIVES This study aimed to evaluate the cardiometabolic abnormalities in women with normal-weight obesity (NWO) in comparison with lean, overweight, and obese women. METHODS This cross-sectional study evaluated the assessment of cardiometabolic abnormalities of women with NWO compared to lean, overweight, and obese women. NWO was defined as a BMI < 25 kg.m-2 and a BFP higher than 30%. Anthropometric variables, cardiometabolic abnormality markers (fasting blood glucose (FBG), blood pressure (BP), lipid profile, insulin resistance, and high-sensitivity C-reactive protein (hs-CRP)), and liver enzymes were also examined. RESULTS Significant differences were observed in HDL concentrations between NWO, lean, and obese participants (p < 0.05). There were no significant differences in FBG, insulin resistance, liver enzymes, or cholesterol between groups (p > 0.05). The prevalence of the abnormal metabolic phenotype was higher in NWO compared to the lean group (4.0% and 24.1%, respectively; p < 0.05). Women with type 2 and 3 obesity had abnormal metabolic profiles (60.9% and 73.9%, respectively) compared to NWO participants (p < 0.01). The NWO group had a significantly higher incidence of cardiometabolic abnormalities compared to the lean participants (p < 0.05), while the type 2 and 3 obese individuals had significantly higher incidences compared to the NWO group (p < 0.001 and p < 0.001, respectively). CONCLUSIONS Individuals with NWO had a significantly higher incidence of cardiometabolic abnormalities when compared to lean participants. These abnormalities strongly relate to BFP and waist circumferences.
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11
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Mohammadian Khonsari N, Baygi F, Tabatabaei-Malazy O, Mohammadpoor Nami S, Ehsani A, Asadi S, Qorbani M. Association of normal weight obesity phenotype with inflammatory markers: A systematic review and meta-analysis. Front Immunol 2023; 14:1044178. [PMID: 36923417 PMCID: PMC10010388 DOI: 10.3389/fimmu.2023.1044178] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 02/13/2023] [Indexed: 03/01/2023] Open
Abstract
Background Individuals with normal weight could suffer from obesity based on their body fat percentage (also known as normal weight obesity (NWO)), thus being at risk of significant morbidity and mortality compared to the general population. It seems that inflammatory pathways and chronic inflammation are significant contributors to the pathogenicity of NWO. This study aimed to assess and pool the association of proinflammatory and anti-inflammatory cytokines with NWO. Methods In this systematic review and meta-analysis, online international databases (PubMed, Scopus, EMBASE, Web of Science, and Google Scholar) were searched until August 2022. All observational studies with an English full text comparing the mean levels of proinflammatory and anti-inflammatory cytokines (e.g., C-reactive protein (CRP), various types of interleukins (IL) s, tumor necrosis factor-alpha (TNF)) and white blood cell (WBC) count, in subjects with NWO and "normal weight non-obese (NWNO)" were included. Two researchers independently screened, reviewed and assessed the quality of included studies. The remaining articles' data were extracted post-screening. The heterogeneity between studies was assessed using the I2 and Cochran's Q tests. A random effect model meta-analysis was used to pool the standardized mean difference (SMD) as an effect size. Results From the initial 559 studies, 21 and 19 were included in the qualitative and quantitative synthesis, respectively. In the systematic review, 8 studies reported a significant association between various proinflammatory cytokines (CRP, IL6, IL1β, and TNFα) and NWO. According to random-effect meta-analysis, the association between NWO with CRP (SMD: 0.60, 95% CI: 0.30, 0.91) and IL6 (SMD: 0.90, 95%CI: 0.14, 1.66) was statistically significant. Moreover, the mean level of TNFα in subjects with NWO and NWNO did not differ significantly (SMD: 0.67, 95% CI: -0.36, 1.70). Conclusion The findings of this study show that NWO was associated with high levels of CRP and IL6. Therefore, inflammatory pathways may play a role in the pathogenicity of NWO.
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Affiliation(s)
| | - Fereshteh Baygi
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Ozra Tabatabaei-Malazy
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Mohammadpoor Nami
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Amir Ehsani
- Department of Pediatric, Iran University of Medical Sciences, Tehran, Iran
| | - Sasan Asadi
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
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12
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Bland VL, Bea JW, Going SB, Yaghootkar H, Arora A, Ramadan F, Funk JL, Chen Z, Klimentidis YC. Metabolically favorable adiposity and bone mineral density: a Mendelian randomization analysis. Obesity (Silver Spring) 2023; 31:267-278. [PMID: 36502291 DOI: 10.1002/oby.23604] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 08/23/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE This analysis assessed the putative causal association between genetically predicted percent body fat and areal bone mineral density (aBMD) and, more specifically, the association between genetically predicted metabolically "favorable adiposity" (MFA) and aBMD at clinically relevant bone sites. METHODS Mendelian randomization was used to assess the relationship of MFA and percent body fat with whole-body, lumbar spine, femoral neck, and forearm aBMD. Sex-stratified and age-stratified exploratory analyses were conducted. RESULTS In all MR analyses, genetically predicted MFA was inversely associated with aBMD for the whole body (β = -0.053, p = 0.0002), lumbar spine (β = -0.075; p = 0.0001), femoral neck (β = -0.045; p = 0.008), and forearm (β = -0.115; p = 0.001). This negative relationship was strongest in older individuals and did not differ by sex. The relationship between genetically predicted percent body fat and aBMD was nonsignificant across all Mendelian randomization analyses. Several loci that were associated at a genome-wide significance level (p < 5 × 10-8 ) in opposite directions with body fat and aBMD measures were also identified. CONCLUSIONS This study did not support the hypothesis that MFA protects against low aBMD. Instead, it showed that MFA may result in lower aBMD. Further research is needed to understand how MFA affects aBMD and other components of bone health such as bone turnover, bone architecture, and osteoporotic fractures.
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Affiliation(s)
- Victoria L Bland
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, Arizona, USA
| | - Jennifer W Bea
- Department of Health Promotion Sciences, University of Arizona, Tucson, Arizona, USA
- The University of Arizona Cancer Center, Tucson, Arizona, USA
| | - Scott B Going
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, Arizona, USA
| | - Hanieh Yaghootkar
- Centre for Inflammation Research and Translational Medicine, Department of Life Sciences, Brunel University London, Uxbridge, UK
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Royal Devon & Exeter Hospital, Exeter, UK
| | - Amit Arora
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, USA
| | - Ferris Ramadan
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, USA
| | - Janet L Funk
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, Arizona, USA
- Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Zhao Chen
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, USA
| | - Yann C Klimentidis
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, USA
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13
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Zhang JX, Li W, Tao XJ, Chen C, Wang QA, Liu WL, Yang C, Wang KR, Qiu JW, Zhao Y, Zhang YH. Fat-to-muscle ratio as a predictor for dyslipidaemia in transitional-age youth. Lipids Health Dis 2022; 21:88. [PMID: 36123675 PMCID: PMC9487042 DOI: 10.1186/s12944-022-01697-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022] Open
Abstract
Background Although dyslipidaemia may have a crucial impact on cardiovascular health in adults, there is a lack of specific data in transitional-age youth. Therefore, this study attempted to evaluate the association of dyslipidaemia with fat-to-muscle ratio (FMR), and establish FMR thresholds for diagnosing dyslipidaemia in transitional-age youth. Methods One thousand six hundred sixty individuals aged 16 to 24 years from the baseline of a subcohort in the Northwest China Natural Population Cohort: Ningxia Project were analysed. Anthropometric characteristics were gauged by a bioelectrical impedance analyser, and dyslipidaemia components were measured using a Beckman AU480 chemistry analyser. Additionally, this study used logistic regression to estimate the risk of dyslipidaemia based on FMR quintiles, and calculate the gender-specific ideal cut-off values of dyslipidaemia and its components by the receiver operating characteristic (ROC) curve. Results Of the 1660 participants, aged 19.06 ± 1.14 years, 558 males and 1102 females. The prevalence of dyslipidaemia was 13.4% and was significantly associated with FMR quintiles among all participants (P < 0.05). The ideal values of FMR in diagnosing dyslipidaemia were 0.2224 for males and 0.4809 for females, while males had a higher AUC than females (0.7118 vs. 0.6656). Meanwhile, high FMR values were significantly associated with adverse outcomes of dyslipidaemia, hypercholesterolemia and hypertriglyceridaemia (P < 0.05). Conclusions The FMR was positively correlated with the prevalence of dyslipidaemia. The FMR can be used as an effective body composition index for diagnosing dyslipidaemia, especially in males, and preventive strategies should be initiated in transitional-age youth to decrease obesity-related dyslipidaemia.
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Affiliation(s)
- Jia-Xing Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Wen Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Xiu-Juan Tao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Chen Chen
- Department of Hospital Infection Management, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, People's Republic of China
| | - Qing-An Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Wan-Lu Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Chan Yang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Kai-Rong Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Jiang-Wei Qiu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China
| | - Yi Zhao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China. .,Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
| | - Yu-Hong Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China. .,Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
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14
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Rakhmat II, Putra ICS, Wibowo A, Henrina J, Nugraha GI, Ghozali M, Syamsunarno MRAA, Pranata R, Akbar MR, Achmad TH. Cardiometabolic risk factors in adults with normal weight obesity: A systematic review and meta-analysis. Clin Obes 2022; 12:e12523. [PMID: 35412026 DOI: 10.1111/cob.12523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/23/2022] [Accepted: 03/26/2022] [Indexed: 12/29/2022]
Abstract
Normal weight obesity (NWO) is a new emerging phenotype of obesity, defined as a normal body mass index with a high body fat percentage. While several studies have described the impact of NWO on cardiometabolic risk factors, the association between them remains uncertain. This meta-analysis systematically evaluated cardiometabolic risk factors in adults with NWO compared to adults with normal weight lean (NWL). A systematic literature search was performed from the inception until September 21, 2021 in order to comprehensively search for all observational studies that had three important variables, including adults (age ≥18 years old), NWO and cardiometabolic risk factors including metabolic syndrome, hypertension, diabetes mellitus, dyslipidaemia or all laboratory findings related to cardiometabolic risk factors. Twenty-four cross-sectional studies with a total of 75 201 subjects are included in the qualitative and quantitative analysis. Overall, older age and female sex are more likely in NWO population. Compared to NWL, NWO is significantly associated with cardiometabolic risk factors, including metabolic syndrome (OR = 2.24 [1.74, 2.89]; p < .001; I2 = 76%, Pheterogeneity < 0.001), hypertension (OR = 1.60[1.36, 1.89]; p < .001; I2 = 76%, Pheterogeneity < 0.001), diabetes mellitus (OR = 1.72[1.54, 1.92]; p < .001; I2 = 47%, Pheterogeneity < 0.001), dyslipidaemia (OR = 1.50 [1.03, 2.18]; p = .03; I2 = 94%, Pheterogeneity < 0.001) and other laboratory findings, except for C-reactive protein in both sexes group; and adiponectin levels in female group. Our meta-analysis showed that NWO was associated with cardiometabolic risk factors. Thus, the traditional definition of obesity using the BMI criteria should be challenged, as those with NWO might still be exposed to a heightened risk of cardiometabolic disorders. Nonetheless, further prospective cohort studies are needed better to understand this syndrome.
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Affiliation(s)
- Iis Inayati Rakhmat
- Department of Biochemistry, Faculty of Medicine, Jenderal Achmad Yani University, Kota Cimahi, Jawa Barat, Indonesia
| | - Iwan Cahyo Santosa Putra
- School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Arief Wibowo
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia
| | - Joshua Henrina
- School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Gaga Irawan Nugraha
- Department of Basic Medical Science, Faculty of Medicine, Padjajadran University, Bandung, Indonesia
| | - Mohammad Ghozali
- Department of Basic Medical Science, Faculty of Medicine, Padjajadran University, Bandung, Indonesia
| | - Mas Rizky A A Syamsunarno
- Department of Basic Medical Science, Faculty of Medicine, Padjajadran University, Bandung, Indonesia
| | - Raymond Pranata
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia
| | - Mohammad Rizki Akbar
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia
| | - Tri Hanggono Achmad
- Department of Basic Medical Science, Faculty of Medicine, Padjajadran University, Bandung, Indonesia
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15
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Han P, Zhang Y, Chen X, Liang Z, Yu X, Liu Y, Sang S, Mao J, Liu J, Chen W, Li J, Cheng Y, Zheng Y, Zhang Z, Li M, Guo Q. Poor Physical Capacity Combined With High Body Fat Percentage as an Independent Risk Factor for Incident Hypertension in Chinese Suburb-Dwelling Older Adults. Front Public Health 2022; 10:875041. [PMID: 35875029 PMCID: PMC9296771 DOI: 10.3389/fpubh.2022.875041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThis study examined the effects of poor physical capacity and high body fat percentage (BF%) on the incidence of hypertension in Chinese suburb-dwelling older adults.MethodsThis study was conducted on 368 Chinese suburb-dwelling participants aged ≥ 60 years without hypertension (mean age: 66.74 ± 5.59 years, 48.9% men). Poor physical capacity is defined by the Asian Working Group for Sarcopenia (AWGS) criteria as grip strength < 26 kg for men and < 18 kg for women or walking speed <0.8 m/s. High BF% was defined as values that are greater than the upper tertile for BF% as stratified by sex. The outcome was the incidence of hypertension.ResultsOverall, 5.7% of subjects had both poor physical capacity and high BF%. After the average follow-up duration of 2 years, the incidence of hypertension was 39.7%, and those experiencing both poor physical capacity and high BF% had the highest incidence (81.0%). After multivariate adjustments, the incidence of hypertension was associated with the combination of poor physical capacity and high BF% [odds ratio (OR) = 6.43, 95% CI = 1.91–21.64] but not solely with poor physical capacity (OR = 1.11, 95% CI = 0.55–2.25) or only high BF% (OR = 1.37, 95% CI = 0.80–2.34).ConclusionThe combination of poor physical capacity and high BF% can significantly increase the incidence of hypertension in Chinese suburb-dwelling older adults. For hypertension prevention, ideally, we should strive toward decreasing body fat mass while simultaneously improving physical capacity.
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Affiliation(s)
- Peipei Han
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
- Department of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
| | - Yuanyuan Zhang
- Department of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
| | - Xiaoyu Chen
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Zhenwen Liang
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Xing Yu
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yuewen Liu
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Sijia Sang
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Jiayin Mao
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Jingxuan Liu
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Wuxiong Chen
- Department of Rehabilitation Medicine, Shanghai Health Rehabilitation Hospital, Shanghai, China
| | - Junxue Li
- Department of Rehabilitation Medicine, Shanghai Health Rehabilitation Hospital, Shanghai, China
| | - Yazhou Cheng
- Department of Rehabilitation Medicine, Shanghai Health Rehabilitation Hospital, Shanghai, China
| | | | | | - Ming Li
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Qi Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
- Department of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
- *Correspondence: Qi Guo
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16
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Martin CB, Stierman B, Yanovski JA, Hales CM, Sarafrazi N, Ogden CL. Body fat differences among US youth aged 8-19 by race and Hispanic origin, 2011-2018. Pediatr Obes 2022; 17:e12898. [PMID: 35135038 PMCID: PMC9177747 DOI: 10.1111/ijpo.12898] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 12/17/2021] [Accepted: 01/11/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND The association between body mass index (BMI) and adiposity differs by race/ethnicity. OBJECTIVE To examine differences in adiposity by race/Hispanic origin among US youth and explore how those differences relate to differences in BMI using the most recent national data, including non-Hispanic Asian youth. METHODS Weight, height and DXA-derived fat mass index (FMI) and percentage body fat (%BF) from 6923 youth 8-19 years in the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were examined. Age-adjusted mean BMI, FMI and %BF were reported. Sex-specific linear regression models predicting %BF and FMI were adjusted for age, BMI category and BMI category*race/Hispanic origin interaction. RESULTS %BF was highest among Hispanic males (28.2%) and females (35.7%). %BF was lower among non-Hispanic Black (23.9%) compared with non-Hispanic White (26.0%) and non-Hispanic Asian (26.6%) males. There was no difference between non-Hispanic Black females (32.7%) and non-Hispanic White (33.2%) or non-Hispanic Asian (32.7%) females. FMI was higher among Hispanic youth compared with non-Hispanic White youth. Among youth with underweight/healthy weight, predicted %BF and FMI were lower among non-Hispanic Black males (-2.8%; -0.5) and females (-2.0%; -0.3), compared with non-Hispanic White youth, and higher among Hispanic males (0.9%; 0.2) and females (2.0%; 0.5), while %BF but not FMI was higher among non-Hispanic Asian males (1.3%) and females (1.4%). Among females with obesity, non-Hispanic Asian females had lower %BF (-2.3%) and FMI (-1.7) than non-Hispanic White females. CONCLUSIONS Differences in %BF and FMI by race/Hispanic origin were not consistent by BMI category among US youth in 2011-2018.
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Affiliation(s)
- Crescent B. Martin
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC
| | - Bryan Stierman
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC; Epidemic Intelligence Service, CDC
| | - Jack A. Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH
| | - Craig M. Hales
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC; United States Public Health Service
| | - Neda Sarafrazi
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC
| | - Cynthia L. Ogden
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC
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17
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Kahere M, Ginindza T. A cross-sectional hospital-based study of correlates of disability in patients with chronic low back pain in KwaZulu-Natal, South Africa. BMC Musculoskelet Disord 2022; 23:438. [PMID: 35546666 PMCID: PMC9092723 DOI: 10.1186/s12891-022-05397-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 05/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic low back pain (CLBP) is the leading cause of disability globally and is a major concern in public health. However, there is limited evidence on the prevalence and correlates of disability among adults in Sub-Saharan Africa. Thus, this study aimed at determining factors influencing disability among adult patients with CLBP in KwaZulu-Natal. METHODS This analytical cross-sectional hospital-based study was conducted among adult CLBP patients in KwaZulu-Natal, South Africa. Data on disability, fear avoidance beliefs and illness behavior were gathered from 554 adult participants using self-administered questionnaires. Multiple linear regression analysis was conducted to determine factors associated with disability. Statistical significance was set at p < 0.05. RESULTS Based on the multivariable linear regression, being a female (β = 0.343, p < 0.001) and fear avoidance beliefs about work (β = 0.221, p = 0.044) were significantly associated with greater disability, while, smoking 1 to 10 cigarettes per day (β = -0.106, p = 0.011) and higher illness behaviour scores (β = -0.165, p = 0.024) were significantly associated with less disability The model accounted for 20% of the total variance in Oswestry disability scores. CONCLUSION This study has concluded that disability in CLBP is predicted by multiple of factors, with psychosocial factors (fear avoidance beliefs and heavy cigarette smoking) playing a significant role. Manual work was also identified as a significant predictor of CLBP disability. Therefore, guidelines should emphasize on early identification of these yellow flags in primary care.
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Affiliation(s)
- Morris Kahere
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, 2nd Floor George Campbell Building, Mazisi Kunene Road, Durban, 4041 South Africa
| | - Themba Ginindza
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, 2nd Floor George Campbell Building, Mazisi Kunene Road, Durban, 4041 South Africa
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Bai L, Zhou J, Tong L, Ding W. Association between body composition and blood pressure in normal-weight Chinese children and adolescents. BMC Pediatr 2022; 22:240. [PMID: 35501836 PMCID: PMC9063238 DOI: 10.1186/s12887-022-03289-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 04/14/2022] [Indexed: 11/30/2022] Open
Abstract
Background The aim of this study was to assess the associations of body fat distribution and lean body mass (LBM) with blood pressure (BP) in normal-weight Chinese children and adolescents. Methods A total of 898 normal-weight Chinese children and adolescents, aged 10–18 years, were included this cross-sectional study via a cluster sampling method. The bioelectrical impedance analysis (BIA) was used to measure body composition. The participants were measured for blood pressure (BP) using a calibrated electronic sphygmomanometer according to the standard method by the "American Hypertension Education Project Working Group". Results Body composition was related to abnormal BP in normal-weight children and adolescents. After the model adjusted for age, smoking, and drinking, regression analysis showed that fat mass percentage (FMP) was negatively associated with abnormal BP, while LBM was positively associated with abnormal BP in boys(P < 0.05). Whereas FMP and visceral fat level (VFL) were positively associated with abnormal BP in girls (P < 0.05). Conclusions There are sex differences in the relationships between total body fat, visceral fat and lean body mass with abnormal BP in normal-weight youths. Therefore, it is of great significance to pay attention to the relative influence of the body composition of the boys and girls in the prevention and treatment of hypertension in youths.
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Affiliation(s)
- Ling Bai
- School of Public Health and Management, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China.,Key Laboratory of Environmental Factors and Chronic Disease Control, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Jinyu Zhou
- School of Public Health and Management, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China.,Key Laboratory of Environmental Factors and Chronic Disease Control, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Lingling Tong
- School of Public Health and Management, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China.,Key Laboratory of Environmental Factors and Chronic Disease Control, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China
| | - Wenqing Ding
- School of Public Health and Management, Ningxia Medical University, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China. .,Key Laboratory of Environmental Factors and Chronic Disease Control, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, Ningxia, China.
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19
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Munguía L, Camacho-Barcia L, Gaspar-Pérez A, Granero R, Galiana C, Jiménez-Murcia S, Dieguez C, Gearhardt AN, Fernández-Aranda F. Food addiction in Bulimia Nervosa: Analysis of body composition, psychological and problematic foods profile. Front Psychiatry 2022; 13:1032150. [PMID: 36339881 PMCID: PMC9632855 DOI: 10.3389/fpsyt.2022.1032150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/06/2022] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Food Addiction (FA) has been related with eating disorders (ED), especially Bulimia Nervosa (BN). BN + FA may have different physical characteristics than patients with BN without the comorbidity, such as body mass index (BMI) or body composition, and psychological as emotion regulation. However, the relationship between psychological and physical aspects, connected by problematic food and its influence on body composition, has been barely studied. Therefore, the aims of the present study are. AIMS (a) To explore the differences in body composition between FA positive (FA+) and negative (FA-) in women with BN; (b) to identify problematic relationship with certain food types, according with the foods mentioned in the YFAS scale questionnaire, between FA+ and FA- patients; (c) to know the psychological characteristic differences between FA+ and FA- patients, considering emotion regulation, personality traits and general psychopathological state; (d) to identify the relationship between physical and psychological traits, and the identified problematic foods, in patients with BN and FA. METHODOLOGY N = 81 BN women patients, with a mean age of 29.73 years ± 9.80 SD, who completed the questionnaires: Yale Food Addiction Scale V 1.0 (YFAS 1.0), Eating Disorder Inventory-2 (EDI-2), Symptom Checklist-90 Items-Revised (SCL-90-R), and Difficulties in Emotion Regulation Strategies (DERS). YFAS problematic foods were grouped considering their principal nutrients sources. Body composition and difference in metabolic age was determined using bioimpedance analyzer. RESULTS The 88% of patients with BN presented FA+. Patients with BN who were FA+ self-reported more problematic relationships with sweets and starches. Also presented higher emotion regulation difficulties, general psychopathology and eating symptomatology severity, than those without FA. Finally, emotional regulation difficulties were positively associated with higher eating disorder symptomatology and more types of foods self-reported as problematic, which increased indirectly fat mass. CONCLUSION The results suggest that BN + FA presented more eating and psychopathology symptomatology and higher problems with specific food types. As well, the path analysis emphasized that emotion regulation difficulties might be related with problematic food relationship in BN, impacting over the ED severity. IMPLICATIONS The results may impact the development of precise therapies for patients with BN + FA.
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Affiliation(s)
- Lucero Munguía
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Lucía Camacho-Barcia
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
| | - Anahí Gaspar-Pérez
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Roser Granero
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain.,Department of Psychobiology and Methodology, Autonomous University of Barcelona, Barcelona, Spain
| | - Carla Galiana
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Susana Jiménez-Murcia
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Carlos Dieguez
- CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain.,Department of Physiology, Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Instituto de Investigación Sanitaria, University of Santiago de Compostela, Santiago de Compostela, Spain
| | | | - Fernando Fernández-Aranda
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.,CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
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20
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Singh P, Covassin N, Marlatt K, Gadde KM, Heymsfield SB. Obesity, Body Composition, and Sex Hormones: Implications for Cardiovascular Risk. Compr Physiol 2021; 12:2949-2993. [PMID: 34964120 PMCID: PMC10068688 DOI: 10.1002/cphy.c210014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Cardiovascular disease (CVD) continues to be the leading cause of death in adults, highlighting the need to develop novel strategies to mitigate cardiovascular risk. The advancing obesity epidemic is now threatening the gains in CVD risk reduction brought about by contemporary pharmaceutical and surgical interventions. There are sex differences in the development and outcomes of CVD; premenopausal women have significantly lower CVD risk than men of the same age, but women lose this advantage as they transition to menopause, an observation suggesting potential role of sex hormones in determining CVD risk. Clear differences in obesity and regional fat distribution among men and women also exist. While men have relatively high fat in the abdominal area, women tend to distribute a larger proportion of their fat in the lower body. Considering that regional body fat distribution is an important CVD risk factor, differences in how men and women store their body fat may partly contribute to sex-based alterations in CVD risk as well. This article presents findings related to the role of obesity and sex hormones in determining CVD risk. Evidence for the role of sex hormones in determining body composition in men and women is also presented. Lastly, the clinical potential for using sex hormones to alter body composition and reduce CVD risk is outlined. © 2022 American Physiological Society. Compr Physiol 12:1-45, 2022.
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Affiliation(s)
- Prachi Singh
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | | | - Kara Marlatt
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | - Kishore M Gadde
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
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21
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Gallegos-Cabriales EC, Rodriguez-Ayala E, Laviada-Molina HA, Nava-Gonzalez EJ, Salinas-Osornio RA, Orozco L, Leal-Berumen I, Castillo-Pineda JC, Gonzalez-Lopez L, Escudero-Lourdes C, Cornejo-Barrera J, Escalante-Araiza F, Huerta-Avila EE, Buenfil-Rello FA, Peschard VG, Silva E, Veloz-Garza RA, Martinez-Hernandez A, Barajas-Olmos FM, Molina-Segui F, Gonzalez-Ramirez L, Arjona-Villicaña RD, Hernandez-Escalante VM, Gaytan-Saucedo JF, Vaquera Z, Acebo-Martinez M, Murillo-Ramirez A, Diaz-Tena SP, Figueroa-Nuñez B, Valencia-Rendon ME, Garzon-Zamora R, Viveros-Paredes JM, Valdovinos-Chavez SB, Comuzzie AG, Haack K, Thorsell AA, Han X, Cole SA, Bastarrachea RA. Replication of Integrative Data Analysis for Adipose Tissue Dysfunction, Low-Grade Inflammation, Postprandial Responses and OMICs Signatures in Symptom-Free Adults. BIOLOGY 2021; 10:1342. [PMID: 34943258 PMCID: PMC8698545 DOI: 10.3390/biology10121342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/11/2021] [Accepted: 12/12/2021] [Indexed: 11/16/2022]
Abstract
We previously reported preliminary characterization of adipose tissue (AT) dysfunction through the adiponectin/leptin ratio (ALR) and fasting/postprandial (F/P) gene expression in subcutaneous (SQ) adipose tissue (AT) biopsies obtained from participants in the GEMM study, a precision medicine research project. Here we present integrative data replication of previous findings from an increased number of GEMM symptom-free (SF) adults (N = 124) to improve characterization of early biomarkers for cardiovascular (CV)/immunometabolic risk in SF adults with AT dysfunction. We achieved this goal by taking advantage of the rich set of GEMM F/P 5 h time course data and three tissue samples collected at the same time and frequency on each adult participant (F/P blood, biopsies of SQAT and skeletal muscle (SKM)). We classified them with the presence/absence of AT dysfunction: low (<1) or high (>1) ALR. We also examined the presence of metabolically healthy (MH)/unhealthy (MUH) individuals through low-grade chronic subclinical inflammation (high sensitivity C-reactive protein (hsCRP)), whole body insulin sensitivity (Matsuda Index) and Metabolic Syndrome criteria in people with/without AT dysfunction. Molecular data directly measured from three tissues in a subset of participants allowed fine-scale multi-OMIC profiling of individual postprandial responses (RNA-seq in SKM and SQAT, miRNA from plasma exosomes and shotgun lipidomics in blood). Dynamic postprandial immunometabolic molecular endophenotypes were obtained to move towards a personalized, patient-defined medicine. This study offers an example of integrative translational research, which applies bench-to-bedside research to clinical medicine. Our F/P study design has the potential to characterize CV/immunometabolic early risk detection in support of precision medicine and discovery in SF individuals.
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Affiliation(s)
- Esther C. Gallegos-Cabriales
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | - Ernesto Rodriguez-Ayala
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Hugo A. Laviada-Molina
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | | | - Rocío A. Salinas-Osornio
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Lorena Orozco
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Irene Leal-Berumen
- Facultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua, Chihuahua 31125, Mexico;
| | - Juan Carlos Castillo-Pineda
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Laura Gonzalez-Lopez
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Claudia Escudero-Lourdes
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosi 78240, Mexico; (C.E.-L.); (M.A.-M.)
| | - Judith Cornejo-Barrera
- Departamento de Enseñanza, Postgrado e Investigación, Hospital Infantil de Tamaulipas, Ciudad Victoria 87150, Mexico;
| | - Fabiola Escalante-Araiza
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Eira E. Huerta-Avila
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Fatima A. Buenfil-Rello
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Vanessa-Giselle Peschard
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Eliud Silva
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Rosa A. Veloz-Garza
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | - Angelica Martinez-Hernandez
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Francisco M. Barajas-Olmos
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Fernanda Molina-Segui
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Lucia Gonzalez-Ramirez
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Ruy D. Arjona-Villicaña
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Victor M. Hernandez-Escalante
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Janeth F. Gaytan-Saucedo
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Zoila Vaquera
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Monica Acebo-Martinez
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosi 78240, Mexico; (C.E.-L.); (M.A.-M.)
| | - Areli Murillo-Ramirez
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Sara P. Diaz-Tena
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Benigno Figueroa-Nuñez
- Clínica de Enfermedades Crónicas y Procedimientos Especiales (CECYPE), Morelia 58249, Mexico;
| | - Melesio E. Valencia-Rendon
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Rafael Garzon-Zamora
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Juan Manuel Viveros-Paredes
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Salvador B. Valdovinos-Chavez
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | | | - Karin Haack
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | | | - Xianlin Han
- Department of Medicine, Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX 78229, USA;
| | - Shelley A. Cole
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Raul A. Bastarrachea
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
- Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA;
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22
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Normal weight obesity and unaddressed cardiometabolic health risk-a narrative review. Int J Obes (Lond) 2021; 45:2141-2155. [PMID: 34007010 DOI: 10.1038/s41366-021-00858-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 04/27/2021] [Accepted: 04/30/2021] [Indexed: 02/06/2023]
Abstract
Normal weight obesity (NWO) is defined as having a normal body mass index (BMI), but a high body fat mass. There is growing interest in individuals with NWO, which is an underdiagnosed and understudied group, because of their increased risk for cardiometabolic morbidity and mortality. In this review, we summarized the definition, prevalence, etiology, pathophysiology, and cardiovascular outcomes seen in NWO. We have also summarized the available literature on interventions for NWO. There is a wide variation in the body fat percent cutoffs used to diagnose excess body fat. Hence, the prevalence rates of NWO vary between different populations and studies. It is estimated that about 30 million Americans have NWO and the worldwide prevalence ranges from 4.5% to 22%. Genetics, diet, and physical activity are related to NWO. However, etiological factors are not clear. Changes in body composition, inflammation, oxidative stress are present in NWO in comparison to normal weight lean (NWL) who have a normal BMI and normal body fat amount. Furthermore, cardiometabolic changes are observed and some are subclinical. Thus, screening for NWO will enhance the primary prevention of cardiovascular disease. Due to the use of various body fat percent cutoffs and methods to measure body fat, it is challenging to compare between studies. Researchers working in this field should ideally work towards developing standard body fat percent cutoffs for diagnosing NWO. There are many gaps in the literature on NWO unlike for overt obesity and future studies should explore the etiology, molecular mechanisms, and adipose tissue changes of NWO as well as conduct well planned and executed randomized controlled trials testing dietary, physical, and behavioral interventions for NWO in both males and females of different racial and age groups.
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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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Stierman B, Ogden CL, Yanovski JA, Martin CB, Sarafrazi N, Hales CM. Changes in adiposity among children and adolescents in the United States, 1999-2006 to 2011-2018. Am J Clin Nutr 2021; 114:1495-1504. [PMID: 34291279 PMCID: PMC8645193 DOI: 10.1093/ajcn/nqab237] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/22/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Data from the NHANES indicate that BMI has increased in some subgroups of children and adolescents in the United States over the past 20 y; however, BMI is an indirect measure of body fatness. OBJECTIVES We assessed changes in DXA-derived measures of adiposity in a nationally representative population of US children and adolescents aged 8-19 y from 1999-2006 to 2011-2018. METHODS Using data from the NHANES, we compared the means and distributions of DXA-derived percentage body fat (%BF) and fat mass index (FMI; fat mass/height2 in kg/m2) between 1999-2006 (n = 10,231) and 2011-2018 (n = 6923) among males and females by age group, race and Hispanic origin, and BMI categories. Estimates were standardized by age and race and Hispanic origin. RESULTS From 1999-2006 to 2011-2018, mean %BF increased from 25.6% to 26.3% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P < 0.01) among all males, whereas mean %BF increased from 33.0% to 33.7% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P = 0.01) and mean FMI increased from 7.7 to 8.0 fat mass kg/m2 (change in FMI: 0.3 fat mass kg/m2; 95% CI: 0.0, 0.6 fat mass kg/m2; P = 0.02) among all females. Changes were not consistent across all age, race and Hispanic origin, and BMI categories. Both %BF and FMI increased among Mexican-American children and adolescents, but not other race and Hispanic origin groups. CONCLUSIONS Among US children and adolescents, DXA-derived measures of adiposity increased from 1999-2006 to 2011-2018, albeit not consistently in every age, race and Hispanic origin, and BMI subgroup. These data reinforce the need to consider other measures, besides BMI categories, when studying adiposity in children and adolescents.
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Affiliation(s)
| | - Cynthia L Ogden
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Jack A Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD, USA
| | - Crescent B Martin
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Neda Sarafrazi
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Craig M Hales
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA,United States Public Health Service, Rockville, MD, USA
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Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT. Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Front Psychol 2021; 12:631179. [PMID: 34305707 PMCID: PMC8299753 DOI: 10.3389/fpsyg.2021.631179] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 06/07/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.
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Affiliation(s)
- Paola Piqueras
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Alfredo Ballester
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Juan V. Durá-Gil
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Sergio Martinez-Hervas
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Josep Redón
- Department of Internal Medicine, Hospital Clínico de Valencia, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Renal Risk Research Group, Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), University of Valencia, Valencia, Spain
| | - José T. Real
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
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Fernberg U, Fernström M, Hurtig-Wennlöf A. Higher Total Physical Activity is Associated with Lower Arterial Stiffness in Swedish, Young Adults: The Cross-Sectional Lifestyle, Biomarkers, and Atherosclerosis Study. Vasc Health Risk Manag 2021; 17:175-185. [PMID: 33953561 PMCID: PMC8092620 DOI: 10.2147/vhrm.s283211] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 03/08/2021] [Indexed: 12/13/2022] Open
Abstract
Purpose Arterial stiffness describes the rigidity of the arterial walls and is associated with risk factors for cardiovascular disease (CVD). Arterial stiffness predicts future events and mortality, and the predictive value is stronger in younger versus older subjects. The aims of the present study were, firstly, to present data on physical activity (PA) and time spent sedentary, in the population of Swedish, young adults. Secondly, to explore the association between PA and arterial stiffness. Material and Methods Self-reported healthy, non-smoking, Swedish, young adults, 18–25 years old, participated in the cross-sectional Lifestyle, Biomarkers and Atherosclerosis (LBA) study. The daily PA was objectively measured with an accelerometer for 1 week. Of the 834 participants, 658 individuals had valid registrations. The arterial stiffness measures, pulse wave velocity (PWV) and augmentation index (AIx) were measured with applanation tonometry. Results Women were on overall more physically active than men, they spent 214 min/day in light PA (LPA) compared to men who spent 202 min/day. Women took significantly more steps per day than men, 7796 vs 7336 steps/day, and spent less time sedentary, 523 min/day, compared to men who spent 547 min/day sedentary. In total, 76% of the individuals spent on average at least 30 minutes per day in the recommended moderate and vigorous PA (MVPA). Lower arterial stiffness was associated with more MVPA and total PA in the total population. Conclusion We conclude that in this age group of young, self-reported healthy adults 18–25 years, it is important to highlight the health-enhancing possibilities of time spent in physical activity on the vascular function, measured as PWV and AIx. It is of high relevance in a public health perspective to expand preventive efforts beyond the high-risk groups and encourage young adults to be physically active.
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Affiliation(s)
- Ulrika Fernberg
- Cardiovascular Research Center, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden
| | - Maria Fernström
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, GIH, Stockholm, 11433, Sweden
| | - Anita Hurtig-Wennlöf
- Cardiovascular Research Center, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden.,The Biomedical Platform, Department of Natural Science and Biomedicine, School of Health and Welfare, Jönköping University, Jönköping, 55111, Sweden
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Fan L, Qiu J, Zhao Y, Yin T, Li X, Wang Q, Jing J, Zhang J, Wang F, Liu X, Liu L, Zhao Y, Zhang Y. The association between body composition and metabolically unhealthy profile of adults with normal weight in Northwest China. PLoS One 2021; 16:e0248782. [PMID: 33765000 PMCID: PMC7993598 DOI: 10.1371/journal.pone.0248782] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/05/2021] [Indexed: 12/22/2022] Open
Abstract
Objective Related evidences of metabolically unhealthy profile of adults with normal weight are not well characterized in the Chinese population. This is because they cannot be effectively identified by regular measurements (such as body mass index [BMI]). To overcome this gap in literature, this study aimed at investigating the association between body composition and metabolically unhealthy profile in Chinese adults with normal weight. Methods A total of 5427 individuals with normal-weight were recruited from 15820 people living in Ningxia Hui Autonomous Region in Northwest China. Normal-weight was defined as a BMI of 18.5–23.9 kg/m2. Metabolically unhealthy profile was assessed by the National Cholesterol Education Program Adult Treatment Panel III (ATP III). Metabolically unhealthy normal-weight (MUHNW) profile was defined in individuals who had normal weight and at least two cardiometabolic risk factors. Generalized linear model was used to investigate the association between body composition measured by bioelectrical impedance and metabolically unhealthy profile in adults with normal-weight. Results The percentage of metabolically unhealthy profile was 35.86% in adults with normal weight. Different MUHNW distributions were found between males and females depending on age. The percentage of the MUHNW profile significantly increased in women after the age of 55, contrary to men. The association between body composition and MUHNW was affected by age and sex. The increased adiposity indices (fat mass index [FMI], visceral fat level [VFL], waist circumference [WCF]), and reduced skeletal muscle mass ratio [SMR] showed significant differences between MUHNW and metabolically healthy with normal weight (MHNW) (p < 0.05). Conclusion The distribution of MUHNW differed between ages and sexes. FMI, VFL, WCF and SMR could be responsible for the MUHNW adults, providing a new insight into the potential metabolic risks for the adults with normal weight in China. This directs us in the management of the MUHNW for their early prevention.
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Affiliation(s)
- Ling Fan
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Jiangwei Qiu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Yu Zhao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Ting Yin
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Xiaoxia Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Qingan Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Jinyun Jing
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Jiaxing Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Faxuan Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Xiuying Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Lan Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
| | - Yi Zhao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
- * E-mail: (YZ); (YZ)
| | - Yuhong Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, China
- * E-mail: (YZ); (YZ)
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Gómez-Zorita S, Queralt M, Vicente MA, González M, Portillo MP. Metabolically healthy obesity and metabolically obese normal weight: a review. J Physiol Biochem 2021; 77:175-189. [PMID: 33704694 DOI: 10.1007/s13105-020-00781-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 12/23/2020] [Indexed: 02/07/2023]
Abstract
Despite the general relationship between obesity and its co-morbidities, there are both obese individuals who scarcely present the associated pathologies (metabolically healthy obese; MHO) and individuals who present obesity alterations despite having normal weight (metabolically obese normal weight; MONW). It is still difficult to define metabolically MHO and MONW individuals because different classifications have been used in the studies reported. Indeed, different inclusion criteria have been used to discriminate between metabolically healthy and metabolically unhealthy subjects. Due to this and other reasons, such as differences in ethnicity, genetics, and lifestyle of the populations, data concerning the prevalence of MHO and MONW are very variable. The main determinants of MHO are type of growth (hypertrophy or hyperplasia), anatomical location, inflammation of adipose tissue, ectopic fat accumulation, genetic factors, and lifestyles factors. In the case of MONW, the main determinants are genetic background and lifestyle factors. With regard to treatment, it is not clear whether MHO subjects would benefit from traditional lifestyle interventions, based on diet energy restriction and increased physical activity. For MONW subjects, there is still no specialized treatment, and the therapies are the same as those used in obese subjects.
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Affiliation(s)
- Saioa Gómez-Zorita
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain. .,BIOARABA Health Research Institute, Vitoria, Spain. .,CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Vitoria, Spain.
| | - Maite Queralt
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain
| | - Maria Angeles Vicente
- BIOARABA Health Research Institute, Vitoria, Spain.,Alava University Hospital (Osakidetza), Vitoria, Spain
| | - Marcela González
- Nutrition and Food Science Department, Faculty of Biochemistry and Biological Sciences, National University of Litoral and National Scientific and Technical Research Council (CONICET), 3000, Santa Fe, Argentina
| | - María P Portillo
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain.,BIOARABA Health Research Institute, Vitoria, Spain.,CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Vitoria, Spain
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Bennouar S, Bachir Cherif A, Temmar M, Fauvel JP, Bouafia MT, Abdi S. Combined effect of obesity and metabolic profile on glomerular dysfunction in hypertensive subjects. Nephrology (Carlton) 2021; 26:578-585. [PMID: 33634933 DOI: 10.1111/nep.13868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/07/2021] [Accepted: 02/19/2021] [Indexed: 11/26/2022]
Abstract
AIM The aim of this study is to explore the individual and combined effects of obesity and metabolic profile on the impairment of glomerular function among hypertensive subjects. METHODS This is a cross-sectional study enrolling 499 hypertensive subjects. Based on body mass index values and metabolic profile, they were assigned to one of four metabolic phenotype groups: MHNO: metabolically healthy non-obese, MHO: metabolically healthy but obese, MUHNO: metabolically unhealthy but non-obese, and MUHO: metabolically unhealthy and obese. The effect of the interaction between obesity and metabolic profile was tested on an additive scale, for both microalbuminuria and reduced estimated glomerular filtration rate (eGFR). RESULTS After adjustment for confounding factors, the highest risk of both microalbuminuria and decreased eGFR was found among patients of the MUHO group (OR = 6.0 [2.13], p < 0.0001, OR = 5.4 [1.26], p = 0.03, respectively). Analysis of the additive interaction indicates that 51% and 53% of the risk of microalbuminuria and its combination with low eGFR respectively is explained by the co-occurrence of obesity and metabolic disorder. The mechanism of this interaction is synergistic (synergy index = 2.6, [1.5.3]). CONCLUSION The decline of glomerular function in hypertensive subjects is significantly exacerbated by the interaction between obesity and metabolic disorders. The management of such high-risk subjects requires, in addition to the therapeutic regimen, an adequate dietary and physical program in order to preserve glomerular function.
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Affiliation(s)
- Salam Bennouar
- Central Laboratory of Clinical Biology, University Hospital Center of Blida, Blida, Algeria
| | - Abdelghani Bachir Cherif
- Department of Internal Medicine and Cardiology, University Hospital Center of Blida, Blida, Algeria
| | - Mohamed Temmar
- Department of Internal Medicine and Cardiology, University Hospital Center of Blida, Blida, Algeria
| | - Jean-Pierre Fauvel
- Department of Nephrology-Hypertension, Claude Bernard University, Lyon, France
| | - Mohamed Tahar Bouafia
- Department of Internal Medicine and Cardiology, University Hospital Center of Blida, Blida, Algeria
| | - Samia Abdi
- Central Laboratory of Clinical Biology, University Hospital Center of Blida, Blida, Algeria
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Shi YX, Chen XY, Qiu HN, Jiang WR, Zhang MY, Huang YP, Ji YP, Zhang S, Li CJ, Lin JN. Visceral fat area to appendicular muscle mass ratio as a predictor for nonalcoholic fatty liver disease independent of obesity. Scand J Gastroenterol 2021; 56:312-320. [PMID: 33535004 DOI: 10.1080/00365521.2021.1879244] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Obesity and sarcopenia are known to be closely related to nonalcoholic fatty liver disease (NAFLD). We attempted to explore the combined influence of fat and muscle tissue on NAFLD by using visceral fat area to appendicular muscle mass ratio (VAR) as a novel parameter. MATERIAL AND METHODS In this cross-sectional study, a total of 3255 adults (1399 men and 1856 women) coming for a health examination were enrolled. NAFLD was diagnosed using ultrasound and VAR was measured by bioelectrical impedance analyzer. RESULTS The prevalence of NAFLD was 46.5% in men and 26.6% in women. VAR differed significantly between subjects with and without NAFLD (4.27 vs. 3.26 in men, 7.89 vs. 5.01 in women, respectively, p < .001). Logistic regression analysis determined VAR as a risk factor for NAFLD, and the multivariable-adjusted odds ratios in the highest VAR quartile was 9.57 (95%CI: 5.98-15.30) for men and 12.37 (95%CI: 6.37-24.05) for women. From the receiver operating characteristic analysis, the area under the curve was 0.767 and 0.834, with the suitable cut-off VAR value of 3.469 and 6.357 for men and women, respectively. To control the influence of obesity, all subjects were stratified according to their BMI. For each BMI group, individuals with VAR above the cut-off value had significant higher prevalence and risk of NAFLD, with odds ratios ranging from 1.76 to 4.75. CONCLUSIONS Increased VAR is strongly associated with higher risk of NAFLD in both sexes independent of obesity and can serve as a screening reference for NAFLD.
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Affiliation(s)
- Ying-Xin Shi
- Graduate School, Tianjin Medical University, Tianjin, China.,Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Xiang-Yu Chen
- Graduate School, Tianjin Medical University, Tianjin, China.,Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Hui-Na Qiu
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Wei-Ran Jiang
- Orofacial Pain and TMJ Disorders, Eastman Institute for Oral Health, University of Rochester, New York, NY, USA
| | | | - Ya-Ping Huang
- Graduate School, Tianjin Medical University, Tianjin, China.,Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Yun-Ping Ji
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Shi Zhang
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Chun-Jun Li
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
| | - Jing-Na Lin
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China
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Wu L, Zhu W, Qiao Q, Huang L, Li Y, Chen L. Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults. Nutr Metab (Lond) 2021; 18:3. [PMID: 33407674 PMCID: PMC7788902 DOI: 10.1186/s12986-020-00536-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 12/14/2020] [Indexed: 02/10/2023] Open
Abstract
Background Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease. Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs. Results After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: − 0.227 for male, − 0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR = 1.37, female: OR = 1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female’s high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak. Conclusions AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.
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Affiliation(s)
- Lihong Wu
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Wenhua Zhu
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Qiaohua Qiao
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Lijuan Huang
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Yiqi Li
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Liying Chen
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, #3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
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Contribution of rs3211938 polymorphism at CD36 to glucose levels, oxidized low-density lipoproteins, insulin resistance, and body mass index in Mexican mestizos with type-2 diabetes from western Mexico. NUTR HOSP 2021; 38:742-748. [PMID: 33966442 DOI: 10.20960/nh.03447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction Background: type-2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by hyperglycemia, insulin resistance (IR), and abnormal fatty acid metabolism in which the CD36 receptor has been implicated in glucose and lipid dysregulation. Objective: to evaluate the contribution of polymorphism CD36 rs3211938 to metabolic profile in T2DM Mexican mestizos from western Mexico. Methods: we included 115 individuals classified as non-T2DM (NT2DM) adults and T2DM patients. Polymorphism CD36 rs3211938 was assessed by PCR-RFLP. Anthropometric and metabolic markers were measured by routine methods, and insulin and oxidized LDL (ox-LDL) were measured by ELISA. Results: the distribution of genotypes between NT2DM and T2DM patients was different (p < 0.001), as was the allele frequency (p = 0.002). NT2DM TG carriers showed the lowest levels of basal insulin and HOMA-IR index in comparison with TT carriers (p < 0.05 and p < 0.05, respectively). In the T2DM group TG carriers showed high BMI, WHR, and weight values (p = 0.001; p ≤ 0.05 and p < 0.05, respectively), and the highest levels of basal glucose, HDL-cholesterol, ox-LDL, and HOMA-IR (p < 0.001; p < 0.001; p < 0.001, and p = 0.001, respectively) in comparison with diabetic TT carriers. Conclusion: the CD36 rs3211938 TG genotype is associated with high levels of glucose, ox-LDL, HDL-cholesterol, and IR, and with increased BMI in Mexican mestizo T2DM patients from western Mexico.
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Coelho CCNDS, Bragança MLBM, de Oliveira BR, Bettiol H, Barbieri MA, Cardoso VC, Silva AAMD. Incidence of metabolic syndrome in adults with healthy weight, normal weight obesity, and overweight/obesity. Nutrition 2020; 85:111134. [PMID: 33578242 DOI: 10.1016/j.nut.2020.111134] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/01/2020] [Accepted: 12/15/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES The aim of this study was to estimate the incidence of metabolic syndrome (MetS) in individuals with a healthy weight (HWI), normal weight obesity (NWO), or overweight/obesity (OWO). METHODS In all, 787 adults belonging to a 1978/1979 birth cohort from Ribeirão Preto were placed into one of three groups: HWI (body mass index [BMI] ≥18.5 and <25 kg/m2 + ∑skinfolds ≤90th percentile); NWO (BMI ≥18.5 and <25 kg/m2 +∑skinfolds >90th percentile); and OWO (BMI ≥25 kg/m2 +∑skinfolds >90th percentile). Those diagnosed with MetS at the 23 to 25 y of age were excluded according to Joint Interim Statement criteria. The incidence of MetS and its components in individuals 37 to 39 y of age was evaluated by Poisson regression with robust estimation of variance, which was adjusted for family income; physical activity level; and daily intake of calories, lipids, and added sugar. RESULTS MetS was detected in 279 adults at 37 to 39 y of age. NWO and OWO individuals showed higher risk ratios (RRs) for the development of MetS (RR,1.87; 95% confidence interval [CI], 1.36-2.57; RR, 1.61; 95% CI, 1.29-2.03), increased blood glucose levels (RR, 1.77; 95% CI, 1.12-2.79; RR, 1.51; 95% CI, 1.12-2.04), and increased waist circumferences (RR, 1.46; 95% CI, 1.32-1.61; RR, 1.50; 95% CI, 1.38-1.62). There was a higher risk for increased blood pressure (RR, 1.72; 95% CI, 1.35-2.19) among OWO individuals, but not among those with NWO. CONCLUSION Individuals with NWO have a risk ratio for MetS similar to individuals with OWO. This demonstrates the need to assess body fat percentages, even in BMI-designated normal weight individuals, both for prevention and management of obesity.
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Affiliation(s)
| | | | - Bianca Rodrigues de Oliveira
- Postgraduation Program of Collective Health, Department of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil
| | - Heloisa Bettiol
- Department of Puericulture and Pediatrics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Brazil
| | - Marco Antônio Barbieri
- Department of Puericulture and Pediatrics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Brazil
| | - Viviane Cunha Cardoso
- Department of Puericulture and Pediatrics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Brazil
| | - Antônio Augusto Moura da Silva
- Postgraduation Program of Collective Health, Department of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil
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Cardiometabolic risk and health behaviours in adolescents with normal-weight obesity: a systematic review. Public Health Nutr 2020; 24:870-881. [PMID: 33256881 DOI: 10.1017/s1368980020004863] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To analyse the presence of cardiometabolic risk factors in adolescents with normal-weight obesity (NWO), as well as to investigate health behaviours related to the phenotype. DESIGN The study was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines and the bibliographic search was carried out in the PubMed, Scielo and ScienceDirect databases. SETTING School, university and population. PARTICIPANTS Adolescents between 10 and 19 years old. RESULTS A total of eight papers were included. Most studies have found a relationship between NWO and the presence of cardiometabolic risk factors, such as high waist circumference, unfavourable lipid and glycid profile. As for health behaviours, three of the eight studies included evaluated eating habits; however, the results were not conclusive. In addition, four studies analysed the practice of physical activity or physical fitness, which was lower in NWO. CONCLUSIONS The available evidence indicates that NWO is related to the early development of cardiometabolic changes, physical inactivity and less physical fitness in adolescents. The results also reveal the importance of early detection of the phenotype, as well as the need for further research on the associated factors to prevent future diseases. Registration (PROSPERO: CRD42020161204).
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Fernström M, Fernberg U, Hurtig-Wennlöf A. The importance of cardiorespiratory fitness and sleep duration in early CVD prevention: BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18-25 years : The cross-sectional lifestyle, biomarkers and atherosclerosis (LBA) study. BMC Public Health 2020; 20:1715. [PMID: 33198684 PMCID: PMC7667815 DOI: 10.1186/s12889-020-09801-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 10/30/2020] [Indexed: 12/04/2022] Open
Abstract
Background Cardiorespiratory fitness (CRF) and sleep habits are lifestyle factors with potential to prevent cardiovascular disease (CVD). CVD is the leading cause of death worldwide. It is therefore important to establish a healthy lifestyle at a young age. In the Lifestyle, Biomarkers and Atherosclerosis (LBA) study we have examined 834 healthy non-smoking adults, aged 18–25 years. The general purpose of the LBA study was to study the effect of lifestyle on traditional biomarkers known to influence CVD risk. The aims of the present study were to evaluate sleep habits of young adult women and men participating in the LBA study, and to compare the importance of sleep and other lifestyle habits on clinically relevant biomarkers for CVD. An additional aim was to find easy and reliable non-invasive biomarkers to detect young adults with increased risk of developing CVD later in life. Methods The participants had previously been examined for lifestyle factors, biomarkers and CVD risk score. They filled in a validated computerized questionnaire about their general physical and mental health. The questionnaire included questions on sleep duration and experienced quality of sleep. Results In total 27% of the young adult participants reported difficulties falling asleep or experienced troubled sleep with frequent awakenings per night. The experienced troubled sleep was not related to a higher CVD risk score, but sleep quality and duration were correlated. Shorter sleep duration was significantly associated to higher body mass index (BMI), body fat (%), homeostasis model assessment of insulin resistance (HOMA-IR) and CVD risk. The modifiable lifestyle factor with the highest odds ratio (OR) for CVD risk was CRF. Sleep duration was the second most influential lifestyle factor, more important than moderate- and vigorous physical activity (MVPA) and food habits. Correlations between CRF and heart rate (HR), (P < 0.01) and HOMA-IR and BMI (P < 0.01) were observed, indicating that BMI and resting HR in combination with questions about sleep patterns are easy and reliable non-invasive biomarkers to detect young adults who need counselling on a healthy lifestyle. Conclusion Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.
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Affiliation(s)
- Maria Fernström
- Åstrand Laboratory of Work Physiology, The Swedish school of sport and health science, GIHLidingövägen 1, Box 5626, 114 86, Stockholm, Sweden.
| | - Ulrika Fernberg
- School of Health Sciences, Faculty of Medicine and Health, Örebro University, 701 82, Örebro, Sweden
| | - Anita Hurtig-Wennlöf
- School of Health Sciences, Faculty of Medicine and Health, Örebro University, 701 82, Örebro, Sweden
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The relationship between body fat ratio and blood pressure in school-age children. J Hum Hypertens 2020; 34:826-832. [PMID: 33060798 DOI: 10.1038/s41371-020-00401-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 07/08/2020] [Accepted: 08/06/2020] [Indexed: 11/08/2022]
Abstract
Hypertension (HTN) and obesity prevalences are rising in childhood and it is important to evaluate associations of these situations. The objective of this study is to investigate the relationship between HTN and body fat ratios (BFR) in children. This cross-sectional study was conducted among 134 participants who were directed to pediatric nephrology outpatient clinic with the prediagnosis of primary HTN. Weight, height, body fat ratio, blood pressure, and ambulatory blood pressure monitor (ABPM) was carried out for all the participants. Of the participants, 70 of them were diagnosed as hypertension with ABPM and included in the patient group, 64 of them had elevated office blood pressure (BP) but normotensive according to ABPM were included in the control group. Body fat ratio (BFR) levels of the patient group were higher than the control group (p < 0.05). There were significant linear correlation between night systolic blood pressure (SBP), night diastolic blood pressure (DBP), night mean arterial pressure (MAP), and BFR in the patient group (p < 0.05). There was a negative correlation between BFR and dipper (p = 0.022; p < 0.05) in the patient group. There was no correlation between BFR and blood pressures or dipper in the control group. According to our results BFR levels have significant association with HTN. According to our findings high BFR especially effects night BP, pulses, nondipping, and nighttime values can be evaluated only with ABPM. For prevention of HTN in children, caution should be given to monitor and lower BFR values.
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Meng H, Gorniak SL. Effects of adiposity on postural control and cognition in older adults. Gait Posture 2020; 82:147-152. [PMID: 32927221 DOI: 10.1016/j.gaitpost.2020.09.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 08/19/2020] [Accepted: 09/01/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Understanding the impacts of increased adiposity on postural control and cognitive deficits in adults is critical for health practitioners in recommending or prescribing effective weight loss regimens. Despite prior work in this area, the knowledge of increased adiposity impacts on postural control and cognitive deficits in older adults (OAs) is still limited. RESEARCH QUESTION The purposes of the current study were: (a) to assess the relationship between postural measures and adiposity measures by using regression model analyses and, (b) to examine the impacts of increased adiposity and age on cognitive performance. METHODS A total of thirty (30) individuals aged 60+ years participated in the study. Participants were classified into three groups based upon their BMI scores at the onset of the study. The normal weight (NW) (BMI: 18.5-24.9 kg/m2), the overweight (OW) (BMI: 25-29.9 kg/m2), and the obese (OB) groups (BMI: 30-40 kg/m2) each had five females and five males. Participants were required to perform two test sessions: (1) anthropometry assessment and body composition scanning; and (2) evaluation of plantar tactile function, postural control, and cognitive function. RESULTS Overall, our findings indicate that increased adiposity in OAs is associated with declines in both cognitive function and postural control. SIGNIFICANCE Our data also indicate that measures such as BMI and abdominal fat mass amounts/ratios offer the best insight to the impact of adiposity on cognitive function and postural control measures. However, further work is still needed to clarify the mechanistic links between adiposity and cognitive-postural deficits.
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Affiliation(s)
- Hao Meng
- Department of Health and Human Performance, University of Houston, Houston, TX 77204, United States
| | - Stacey L Gorniak
- Department of Health and Human Performance, University of Houston, Houston, TX 77204, United States.
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Miao Z, Alvarez M, Ko A, Bhagat Y, Rahmani E, Jew B, Heinonen S, Muñoz-Hernandez LL, Herrera-Hernandez M, Aguilar-Salinas C, Tusie-Luna T, Mohlke KL, Laakso M, Pietiläinen KH, Halperin E, Pajukanta P. The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance. PLoS Genet 2020; 16:e1009018. [PMID: 32925908 PMCID: PMC7515203 DOI: 10.1371/journal.pgen.1009018] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 09/24/2020] [Accepted: 07/29/2020] [Indexed: 01/06/2023] Open
Abstract
Reverse causality has made it difficult to establish the causal directions between obesity and prediabetes and obesity and insulin resistance. To disentangle whether obesity causally drives prediabetes and insulin resistance already in non-diabetic individuals, we utilized the UK Biobank and METSIM cohort to perform a Mendelian randomization (MR) analyses in the non-diabetic individuals. Our results suggest that both prediabetes and systemic insulin resistance are caused by obesity (p = 1.2×10-3 and p = 3.1×10-24). As obesity reflects the amount of body fat, we next studied how adipose tissue affects insulin resistance. We performed both bulk RNA-sequencing and single nucleus RNA sequencing on frozen human subcutaneous adipose biopsies to assess adipose cell-type heterogeneity and mitochondrial (MT) gene expression in insulin resistance. We discovered that the adipose MT gene expression and body fat percent are both independently associated with insulin resistance (p≤0.05 for each) when adjusting for the decomposed adipose cell-type proportions. Next, we showed that these 3 factors, adipose MT gene expression, body fat percent, and adipose cell types, explain a substantial amount (44.39%) of variance in insulin resistance and can be used to predict it (p≤2.64×10-5 in 3 independent human cohorts). In summary, we demonstrated that obesity is a strong determinant of both prediabetes and insulin resistance, and discovered that individuals' adipose cell-type composition, adipose MT gene expression, and body fat percent predict their insulin resistance, emphasizing the critical role of adipose tissue in systemic insulin resistance.
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Affiliation(s)
- Zong Miao
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- Bioinformatics Interdepartmental Program, UCLA, Los Angeles, California, United States of America
| | - Marcus Alvarez
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Arthur Ko
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Yash Bhagat
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Elior Rahmani
- Computer Science Department in the School of Engineering, UCLA, Los Angeles, California, United States of America
| | - Brandon Jew
- Bioinformatics Interdepartmental Program, UCLA, Los Angeles, California, United States of America
- Computer Science Department in the School of Engineering, UCLA, Los Angeles, California, United States of America
| | - Sini Heinonen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Linda Liliana Muñoz-Hernandez
- Unidad de Investigación en Enfermedades Metabólicas, Dirección de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, México
| | - Miguel Herrera-Hernandez
- Departamento de Cirugía, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
| | - Carlos Aguilar-Salinas
- Unidad de Investigación en Enfermedades Metabólicas, Dirección de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, México
| | - Teresa Tusie-Luna
- Unidad de Biología Molecular y Medicina Genómica Instituto de Investigaciones Biomédicas UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, Mexico City, Mexico
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kirsi H. Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Obesity Center, Endocrinology, Abdominal Center, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Eran Halperin
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- Computer Science Department in the School of Engineering, UCLA, Los Angeles, California, United States of America
- Department of Computational Medicine, UCLA, Los Angeles, California, United States of America
- Department of Anesthesiology and Perioperative Medicine, UCLA, Los Angeles, California, United States of America
- Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- Bioinformatics Interdepartmental Program, UCLA, Los Angeles, California, United States of America
- Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- * E-mail:
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Furlong MA, Klimentidis YC. Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank. ENVIRONMENTAL RESEARCH 2020; 185:109364. [PMID: 32247148 PMCID: PMC7199644 DOI: 10.1016/j.envres.2020.109364] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 03/08/2020] [Indexed: 05/06/2023]
Abstract
Air pollution has consistently been associated with cardiometabolic outcomes, although associations with obesity have only been recently reported. Studies of air pollution and adiposity have mostly relied on body mass index (BMI) rather than body fat percentage (BF%), and most have not accounted for noise as a possible confounder. Additionally, it is unknown whether genetic predisposition for obesity increases susceptibility to the obesogenic effects of air pollution. To help fill these gaps, we used the UK Biobank, a large, prospective cohort study in the United Kingdom, to explore the relationship between air pollution and adiposity, and modification by a polygenic risk score for BMI. We used 2010 annual averages of air pollution estimates from land use regression (NO2, NOX, PM2.5, PM2.5absorbance, PM2.5-10, PM10), traffic intensity (TI), inverse distance to road (IDTR), along with examiner-measured BMI, waist-hip-ratio (WHR), and impedance measures of BF%, which were collected at enrollment (2006-2010, n = 473,026) and at follow-up (2012-2013, n = 19,518). We estimated associations of air pollution with BMI, WHR, and BF% at enrollment and follow-up, and with obesity, abdominal obesity, and BF%-obesity at enrollment and follow-up. We used linear and logistic regression and controlled for noise and other covariates. We also assessed interactions of air pollution with a polygenic risk score for BMI. On average, participants at enrollment were 56 years of age, 54% were female, and 32% had completed college or a higher degree. Almost all participants (~95%) were white. All air pollution measures except IDTR were positively associated with at least one continuous measure of adiposity at enrollment. However, NO2 was negatively associated with BMI but positively associated with WHR at enrollment, and IDTR was also negatively associated with BMI. At follow-up (controlling for enrollment adiposity), we observed positive associations for PM2.5-10 with BMI, PM10 with BF%, and TI with BF% and BMI. Associations were similar for binary measures of adiposity, with minor differences for some pollutants. Associations of NOX, NO2, PM2.5absorbance, PM2.5 and PM10, with BMI at enrollment, but not at follow-up, were stronger among individuals with higher BMI polygenic risk scores (interaction p <0.05). In this large, prospective cohort, air pollution was associated with several measures of adiposity at enrollment and follow-up, and associations with adiposity at enrollment were modified by a polygenic risk score for obesity.
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Affiliation(s)
- Melissa A Furlong
- University of Arizona, Mel and Enid Zuckerman College of Public Health, Department of Community, Environment, and Policy, Division of Environmental Health Sciences, United States.
| | - Yann C Klimentidis
- University of Arizona, Mel and Enid Zuckerman College of Public Health, Department of Epidemiology and Biostatistics, United States
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Seo Y, Song HJ, Song YR. Fat-to-muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults. J Cachexia Sarcopenia Muscle 2020; 11:710-725. [PMID: 32030917 PMCID: PMC7296262 DOI: 10.1002/jcsm.12548] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 07/31/2019] [Accepted: 01/07/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The present study evaluated the associations of the fat-to-muscle ratio (FMR) with metabolic syndrome (MetS) and insulin resistance (IR) in Korean adults using nationally representative survey data. METHODS A two-stage stratified sampling method was reflected in a cross-sectional study involving a total of 13 032 participants aged ≥ 19 years who participated in the fourth and fifth Korea National Health and Nutrition Examination Surveys. The homeostasis model assessment for IR (HOMA-IR) was used to evaluate IR and was calculated as follows: [fasting plasma glucose level (mg/dL) × fasting plasma insulin level (uIU/mL)]/405. MetS was defined using the 2006 International Diabetes Federation criteria, and FMR was measured using whole-body dual-energy X-ray absorptiometry and calculated as follows: total fat mass (kg) divided by total lean mass (kg). In addition, the optimal FMR cut-off values for detecting MetS and the odds ratios (ORs) for MetS risk were determined according to the FMR quartile and sex. RESULTS Among all participants, the proportion of women was 58.4%, and the mean age was 44.22 ± 0.26 years. The FMR significantly differed between men and women (0.30 ± 0.002 vs. 0.53 ± 0.003, respectively, P < 0.001), and the prevalence of MetS and IR gradually increased as FMR increased (P for trend: <0.001). The optimal FMR cut-off value for detecting MetS was higher in women than in men (0.555 vs. 0.336, respectively). The negative predictive value was the highest in normal-weight participants (0.9992 in women and 0.9986 in men), while the positive predictive value was the highest in obese participants (0.5994 in women and 0.5428 in men). Based on the derived cut-off FMR, a high FMR was associated with poor outcomes in terms of cardiometabolic risk markers (P < 0.001). The multivariable-adjusted ORs for MetS, abdominal obesity, and IR (HOMA-IR ≥ 3) were 5.35 [95% confidence interval (CI): 4.39-6.52], 7.67 (95% CI: 6.33-9.30), and 3.25 (95% CI: 2.70-3.92), respectively, in men and 5.59 (95% CI: 4.66-6.72), 7.48 (95% CI: 6.35-8.82), and 2.55 (95% CI: 2.17-3.00), respectively, in women. CONCLUSIONS In the present study, a high FMR was significantly associated with the prevalence of MetS and IR. The present findings also showed that FMR can be a novel indicator for detecting the absence or presence of MetS, particularly in metabolically healthy normal-weight individuals and metabolically obese obese-weight individuals.
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Affiliation(s)
- Young‐Gyun Seo
- Department of Family MedicineHallym University Sacred Heart HospitalAnyangGyeonggi‐doRepublic of Korea
| | - Hong Ji Song
- Department of Family MedicineHallym University Sacred Heart HospitalAnyangGyeonggi‐doRepublic of Korea
| | - Young Rim Song
- Department of Internal MedicineHallym University Sacred Heart HospitalDongan‐guAnyangGyeonggi‐doRepublic of Korea
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Bernardi M, Fedullo AL, Bernardi E, Munzi D, Peluso I, Myers J, Lista FR, Sciarra T. Diet in neurogenic bowel management: A viewpoint on spinal cord injury. World J Gastroenterol 2020; 26:2479-2497. [PMID: 32523306 PMCID: PMC7265150 DOI: 10.3748/wjg.v26.i20.2479] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/14/2020] [Accepted: 05/12/2020] [Indexed: 02/06/2023] Open
Abstract
The aim of this review is to offer dietary advice for individuals with spinal cord injury (SCI) and neurogenic bowel dysfunction. With this in mind, we consider health conditions that are dependent on the level of lesion including skeletal muscle atrophy, autonomic dysreflexia and neurogenic bladder. In addition, SCI is often associated with a sedentary lifestyle, which increases risk for osteoporosis and diseases associated with chronic low-grade inflammation, including cardiovascular and chronic kidney diseases. The Mediterranean diet, along with exercise and dietary supplements, has been suggested as an anti-inflammatory intervention in individuals with SCI. However, individuals with chronic SCI have a daily intake of whole fruit, vegetables and whole grains lower than the recommended dietary allowance for the general population. Some studies have reported an increase in neurogenic bowel dysfunction symptoms after high fiber intake; therefore, this finding could explain the low consumption of plant foods. Low consumption of fibre induces dysbiosis, which is associated with both endotoxemia and inflammation. Dysbiosis can be reduced by exercise and diet in individuals with SCI. Therefore, to summarize our viewpoint, we developed a Mediterranean diet-based diet and exercise pyramid to integrate nutritional recommendations and exercise guidelines. Nutritional guidelines come from previously suggested recommendations for military veterans with disabilities and individuals with SCI, chronic kidney diseases, chronic pain and irritable bowel syndrome. We also considered the recent exercise guidelines and position stands for adults with SCI to improve muscle strength, flexibility and cardiorespiratory fitness and to obtain cardiometabolic benefits. Finally, dietary advice for Paralympic athletes is suggested.
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Affiliation(s)
- Marco Bernardi
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome 00185, Italy
- Italian Paralympic Committee, Rome 00191, Italy
- Federazione Italiana Pallacanestro In Carrozzina (FIPIC), Rome 00188, Italy
| | - Anna Lucia Fedullo
- Federazione Italiana Pallacanestro In Carrozzina (FIPIC), Rome 00188, Italy
| | - Elisabetta Bernardi
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari "Aldo Moro", Bari 70121, Italy
| | - Diego Munzi
- Joint Veteran Center, Scientific Department, Army Medical Center, Rome 00184, Italy
| | - Ilaria Peluso
- Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA-AN), Rome 00178, Italy
| | - Jonathan Myers
- VA Palo Alto Health Care System and Stanford University, Cardiology Division, Palo Alto, CA 94025, United States
| | | | - Tommaso Sciarra
- Joint Veteran Center, Scientific Department, Army Medical Center, Rome 00184, Italy
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Zou Q, Su C, Du W, Ouyang Y, Wang H, Wang Z, Ding G, Zhang B. The association between physical activity and body fat percentage with adjustment for body mass index among middle-aged adults: China health and nutrition survey in 2015. BMC Public Health 2020; 20:732. [PMID: 32429924 PMCID: PMC7238529 DOI: 10.1186/s12889-020-08832-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 05/01/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The inverse association between physical activity and body fat percentage (%) varies among different populations. We aim to examine whether the significant association between them was uniform across the subpopulations after taking into account body mass index (BMI). METHODS Our study relied on data from China Health and Nutrition Surveys in 2015, including 5763 participants aged 40-64 years from 15 regions. Physical activity was calculated as metabolic equivalent task hours per day (MET·h/d). Body fat% was measured by bioelectrical impedance analysis. Body mass index < 24 kg/m2 was defined as normal weight and BMI ≥ 24 kg/m2 was overweight/obese. The effects of physical activity on body fat% were estimated using the Kruskal-Wallis test among sex, age, BMI groups, education, income, region and urbanization. Quantile regression analyses were utilized to describe the relationship between physical activity and body fat% distribution. RESULTS Older adults, overweight/obese, higher education, higher income, residents of central China and those living in areas of higher urbanization had the lower physical activity. Participants who engaged in the highest level of physical activity had 2.0 and 1.5% lower body fat% than the lowest level of physical activity group (23.4, 34.8%) for men and women, respectively. There were 10.4 and 8.8% of normal weight males and females called normal weight obese. Overall, 1 h extra 4.5 MET•h/d was significantly associated with 0.079 and 0.110% less total body fat% at the 75th and 90th percentiles in normal weight males, with 0.071% less at the 25th percentiles in overweight/obese males, with 0.046-0.098% less at the 25th to 90th percentiles in normal weight females, and with 0.035-0.037% less from the 50th to 90th percentiles in overweight/obese females. The inverse association between physical activity and total body fat% was stronger in normal weight obese participants than other subgroups. CONCLUSIONS In middle-aged Chinese adults, the inverse association between physical activity and body fat% was only in particular subpopulations rather than the entire population. We should pay much attention to normal weight obese and give a suitable physical activity guideline taking into account people with different body fat%.
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Affiliation(s)
- Qinpei Zou
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
- Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Wenwen Du
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yifei Ouyang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
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Seok Lee H, Park YM, Han K, Yang JH, Lee S, Lee S, Yoo S, Kim SR. Obesity-related hypertension: Findings from The Korea National Health and Nutrition Examination Survey 2008-2010. PLoS One 2020; 15:e0230616. [PMID: 32315310 PMCID: PMC7173931 DOI: 10.1371/journal.pone.0230616] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 03/04/2020] [Indexed: 01/21/2023] Open
Abstract
We aimed to investigate the association of various obesity parameters and phenotypes with hypertension in nationally representative Korean adults. Among adults aged 19 years and older who participated in the Korea National Health and Nutrition Examination Survey in 2008-2010, a total of 16,363 subjects (8,184 men and 8,179 women) were analyzed. Hypertension was defined as blood pressure of 140/90 mm Hg or higher or taking antihypertensive medication. Multiple logistic regression analysis was used to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Higher obesity parameters [body mass index (BMI) representing general obesity, waist circumference (WC) representing central obesity, and percentage body fat (PBF) representing elevated body fat] were consistently associated with increased odds of prevalent hypertension (OR, 7.54; 95% CI, 5.89-9.65 for BMI ≥30 vs. 18.5-23; OR, 3.97; 95% CI, 3.41-4.63 for WC ≥95 cm in males and ≥90 cm in females vs. <85 cm in males and <80 cm in females; OR, 3.56; 95% CI, 3.05-4.15 for PBF, highest vs. lowest quartile; all p trends<0.0001). These associations were stronger in the younger age group (<40 years), and were observed in both sexes. Furthermore, even in individuals with normal BMI (18.5-23), the odds of prevalent hypertension were consistently increased in those with central obesity (WC≥90 cm in males, WC≥80 cm in females; normal weight central obesity phenotype) (OR, 1.89; 95% CI, 1.63-2.19) and those with high PBF (highest quartile of PBF; normal weight obesity phenotype) (OR, 1.49; 95% CI, 1.25-1.77). These associations were consistent with updated hypertension guidelines in 2017. Obesity may be positively associated with hypertension, regardless of obesity parameters. Even within normal BMI range, high WC and high PBF may be associated with hypertension.
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Affiliation(s)
- Hong Seok Lee
- Division of Cardiology, Department of Medicine, Mayo Clinic, Scottsdale, AZ, United States of America
- Division of Cardiology, Department of Medicine, University of California Riverside, Riverside, CA, United States of America
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Yong-Moon Park
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, United States of America
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Jin-Hong Yang
- Department of Emergency Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seungwon Lee
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seong‐Su Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Soonjib Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sung Rae Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- * E-mail:
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Correa-Rodríguez M, González-Ruíz K, Rincón-Pabón D, Izquierdo M, García-Hermoso A, Agostinis-Sobrinho C, Sánchez-Capacho N, Roa-Cubaque MA, Ramírez-Vélez R. Normal-Weight Obesity Is Associated with Increased Cardiometabolic Risk in Young Adults. Nutrients 2020; 12:E1106. [PMID: 32316150 PMCID: PMC7230158 DOI: 10.3390/nu12041106] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/03/2020] [Accepted: 04/03/2020] [Indexed: 12/11/2022] Open
Abstract
Normal-weight obesity (NWO) has been shown to be associated with cardiometabolic dysfunction. However, little is known regarding this potential relationship in early adulthood. The aim of this study was to investigate the associations between NWO and cardiometabolic risk factors in a large population of Colombian young adults. A cross-sectional study was conducted on 1354 subjects (61% women), aged from 18 to 30. Anthropometric data, including body mass index (BMI) and waist circumference (WC), were estimated, and the percentage of fat mass was measured through bioelectrical impedance analysis (BIA). Muscular fitness was determined by using a handgrip strength test and normalized grip strength (NGS = handgrip (kg)/body mass (kg)). A cardiometabolic risk Z-score was derived by assessing WC, triglycerides, high-density lipoprotein cholesterol (HDL-C) cholesterol, fasting glucose, and systolic blood pressure. NWO was defined by the combination of excess %BF (over 25.5% for men and 38.9% for women) and a BMI < 25 kg/m2. The overall prevalence of NWO was 29.1%. Subjects with NWO have an increased risk of cardiometabolic risk compared to the normal-weight lean group (OR = 3.10). Moreover, NWO was associated with an increased risk of presenting low HDL-C (OR = 2.34), high abdominal obesity (OR = 7.27), and low NGS (OR = 3.30), p < 0.001. There is a high prevalence of NWO in American Latin young adults and this condition is associated with an increased cardiovascular risk, high blood pressure, low HDL-C, high abdominal obesity, and low muscular strength early in life. Screening for adiposity in subjects with a normal BMI could help to identify young adults at a high risk of cardiometabolic abnormalities.
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Affiliation(s)
- María Correa-Rodríguez
- Faculty of Health, Department of Nursing, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain;
| | - Katherine González-Ruíz
- Grupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá DC 110231, Colombia;
| | - David Rincón-Pabón
- ZIPATEFI (Zona de Investigaciones de Posgrados, Terapia Respiratoria y Fisioterapia de Areandina), Fundación Universitaria del Área Andina, Pereira 110231, Colombia;
| | - Mikel Izquierdo
- Department of Health Sciences, Public University of Navarra, Navarrabiomed- IdiSNA, Complejo Hospitalario de Navarra (CHN), 31008 Pamplona, Spain; (M.I.); (A.G.-H.)
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Antonio García-Hermoso
- Department of Health Sciences, Public University of Navarra, Navarrabiomed- IdiSNA, Complejo Hospitalario de Navarra (CHN), 31008 Pamplona, Spain; (M.I.); (A.G.-H.)
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile
| | | | - Nohora Sánchez-Capacho
- Facultad de Ciencias de la Salud- Universidad de Boyacá, Tunja 150003, Colombia; (N.S.-C.); (M.A.R.-C.)
| | | | - Robinson Ramírez-Vélez
- Department of Health Sciences, Public University of Navarra, Navarrabiomed- IdiSNA, Complejo Hospitalario de Navarra (CHN), 31008 Pamplona, Spain; (M.I.); (A.G.-H.)
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
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Thompson AA, Duckham RL, Desai MM, Choy CC, Sherar LB, Naseri T, Soti-Ulberg C, Reupena MS, Wetzel AI, Hawley NL. Sex differences in the associations of physical activity and macronutrient intake with child body composition: A cross-sectional study of 3- to 7-year-olds in Samoa. Pediatr Obes 2020; 15:e12603. [PMID: 31925928 PMCID: PMC7060109 DOI: 10.1111/ijpo.12603] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 09/25/2019] [Accepted: 10/21/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Overweight/obesity is prevalent among children in the Pacific Islands, but its aetiology is poorly understood. Few studies have considered body composition in addition to body mass index-based measures. OBJECTIVES To describe body composition among Samoan children and determine sex-specific associations among dietary intake, physical activity, and body composition. METHODS Body composition (percent body fat [%BF], lean mass, and trunk-to-peripheral fat ratio) of n = 83 Samoan children (3-7 y) was assessed using dual-energy X-ray absorptiometry. Children completed 7 days of objective physical activity monitoring. Mothers reported child nutritional intake using a 115-item food frequency questionnaire. Stepwise generalized linear regression was used to determine independent associations of nutritional intake and physical activity with body composition. RESULTS Samoan children had higher average %BF than reported among other ethnic groups but lower trunk-to-peripheral fat ratios. In sex-stratified analyses, quartile of carbohydrate intake was negatively associated with %BF (β = -2.02 SE = 0.58; P < .001) in girls only. Among boys, physical activity (quartile of accelerometer counts per minute) was negatively associated with %BF (β = -1.66 SE = 0.55; P < .01). CONCLUSIONS Sex differences in the associations among nutritional intake, physical activity, and body composition may be important to consider as interventions are developed to address overweight/obesity among Samoan children.
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Affiliation(s)
- Avery A. Thompson
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Rachel L. Duckham
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia
| | - Mayur M. Desai
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Courtney C. Choy
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Lauren B. Sherar
- Center for Global Health and Human Development, School of Sport and Exercise Sciences, Loughborough University, Loughborough, UK
| | | | | | | | - Abigail I. Wetzel
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
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Wang L, Jin G, Yu C, Lv J, Guo Y, Bian Z, Yang L, Chen Y, Hu Z, Chen F, Chen Z, Li L, Shen H. Cancer incidence in relation to body fatness among 0.5 million men and women: Findings from the China Kadoorie Biobank. Int J Cancer 2020; 146:987-998. [PMID: 31115907 PMCID: PMC7614994 DOI: 10.1002/ijc.32394] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 03/27/2019] [Accepted: 04/18/2019] [Indexed: 11/11/2022]
Abstract
High body mass index (BMI) has been associated with an increased risk of several cancers. Evidence relating body fatness, especially based on different anthropometric measures, to risk of major cancers in China from prospective cohort studies is lacking. The prospective China Kadoorie Biobank study recruited 0.5 million adults aged 30-79 years from 10 diverse areas across China during 2004-2008, recording 21,474 incident cancers during 8.95 years of follow-up. BMI, body fat percentage (BFP), waist circumference (WC) and waist-to-hip ratio (WHR) were measured at baseline. We assessed the associations of body fatness with 15 major cancers by calculating Cox regression yielded adjusted hazard ratios (HRs). Each 5 kg/m2 increase in BMI was associated with an increased risk of endometrial (HR, 2.01; 95% CI, 1.72-2.35), postmenopausal breast (HR, 1.29; 95% CI, 1.18-1.40), colorectal (HR, 1.17; 95% CI, 1.10-1.25) and cervical (HR, 1.15; 95% CI, 1.03-1.29) cancer, whereas it was associated with a reduced risk of esophageal (HR, 0.73; 95% CI, 0.67-0.79), lung (HR, 0.78; 95% CI, 0.74-0.82), liver (HR, 0.85; 95% CI, 0.79-0.92) and gastric (HR, 0.88; 95% CI, 0.82-0.94) cancer. Significant linear trends of BMI-cancer associations were observed, excluding for lung, gastric and cervical cancer (both overall and nonlinear p < 0.05). The relation between BFP, WC and WHR and the above cancers was similar to that of BMI. Our study indicates that either high or low body fatness contributes to the incidence of different types of cancer in China.
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Affiliation(s)
- Lu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Feng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Chinese Academy of Medical Sciences, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
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Kim SA, Kim J, Jun S, Wie GA, Shin S, Joung H. Association between dietary flavonoid intake and obesity among adults in Korea. Appl Physiol Nutr Metab 2020; 45:203-212. [PMID: 31999468 DOI: 10.1139/apnm-2019-0211] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
This study aimed to investigate the association between dietary flavonoid intake and the prevalence of obesity using body mass index (BMI), waist circumference, and percent body fat (%BF) according to sex among Korean adults. Based on the Korean Health and Nutrition Examination Survey 2008-2011, 23 118 adults in Korea were included. Dietary intakes were obtained using 24-h dietary recall data. A higher total intake of flavonoid was associated with a lower prevalence of obesity in women, based on %BF (odds ratio [95% confidence interval] = 0.82 [0.71-0.94]), and abdominal obesity (0.81 [0.71-0.92]). The intake of flavonols (0.88 [0.78-0.99]), flavanones (0.81 [0.72-0.92]), flavanols (0.85 [0.74-0.97]), isoflavones (0.85 [0.75-0.96]), and proanthocyanidins (0.81 [0.71-0.92]) was inversely associated with abdominal obesity, and a higher intake of flavanones (0.87 [0.76-0.99]) and proanthocyanidins (0.85 [0.75-0.98]) was associated with a lower prevalence of obesity, with respect to %BF in women. In contrast, the intake of flavonols (1.16 [1.02-1.33]), flavanones (1.18 [1.04-1.35]), and anthocyanidins (1.27 [1.11-1.46]) was positively associated with obesity based on BMI in men. In conclusion, high intake of dietary flavonoids may be associated with a decreased prevalence of abdominal obesity and obesity, based on %BF, among women. Novelty Higher flavonoid intake was associated with decreased prevalence of abdominal obesity and obesity based on %BF in Korean women. However, in men, the intake of flavonols, flavanones, and anthocyanidins was positively associated with obesity as given by BMI.
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Affiliation(s)
- Seong-Ah Kim
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, Korea
| | - Jiyoon Kim
- Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Shinyoung Jun
- Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA
| | - Gyung-Ah Wie
- Department of Clinical Nutrition, Research Institute and Hospital, National Cancer Center, Goyang 10408, Korea
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, Korea
| | - Hyojee Joung
- Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.,Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
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Dual-energy X-ray absorptiometry-assessed adipose tissues in metabolically unhealthy normal weight Asians. Sci Rep 2019; 9:17698. [PMID: 31776349 PMCID: PMC6881341 DOI: 10.1038/s41598-019-53557-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Accepted: 10/14/2019] [Indexed: 12/23/2022] Open
Abstract
Normal body mass index (BMI) is associated with lower risk for cardiometabolic diseases. However, there is a subset of individuals with BMI in this range who present with this metabolic abnormality (called metabolically unhealthy normal weight, MUHNW). Here we aimed to assess the adipose characteristics of people with MUHNW using dual-energy X-ray absorptiometry (DXA). This study included 3259 people with normal BMI who underwent health examinations from January 1, 2007 through December 31, 2016. Body fat percentage (%BF), android-gynoid percent fat ratio (AG ratio), and visceral adipose tissue (VAT) were measured simultaneously using DXA CoreScan software. Those with MUHNW comprised 12.67% of the sample. Among those with MUHNW, 71.6% of the women and 56.5% of the men showed high VAT amounts, but less than 40% of either showed high %BFs. Furthermore, considering the combined effects of fat amount and distribution, a normal BMI accompanied by high AG ratio and/or high VAT mass but low %BF presents a much higher risk for metabolic syndrome than when %BF is high, most predominantly in women. In conclusion, using DXA-measured abdominal fat, particularly VAT accumulation, is clinically more important than using %BF when assessing metabolic syndrome in those with normal BMI.
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Characterization of Cardiometabolic Risks in Different Combination of Anthropometric Parameters and Percentage Body Fat. Sci Rep 2019; 9:14104. [PMID: 31575927 PMCID: PMC6773757 DOI: 10.1038/s41598-019-50606-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 09/16/2019] [Indexed: 01/10/2023] Open
Abstract
The prevalence of obesity was increasing and became a growing problem worldwide. Obesity increased the risk of developing metabolic abnormalities and was associated adverse health outcomes. Our aim was to examine the associations among different combinations of obesity phenotypes (high body mass index > 27 kg/m2 (O), high waist circumference (male > 90 cm, female > 80 cm) (W), fatty liver (F) and percentage body fat in top 40% (P)) and cardiometabolic diseases (type 2 diabetes mellitus (DM), hypertension (HTN), metabolic syndrome (MetS)). A total of 48426 eligible subjects were categorized based on the different definitions. After adjusting for all covariables, participants with O + F + P combination were more likely associated with the presence of DM. Participants with O + W combination were more associated with the presence of HTN than others. Participants with O + W + F + P had higher risk for the presence of MetS than others. The study addressed the associations between different obesity phenotypes and DM and HTN in the adult population. Better understanding the pathophysiological mechanisms underlined individual vulnerability and progression of cardiometabolic insults.
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Park SK, Ryoo JH, Oh CM, Choi JM, Chung PW, Jung JY. Body fat percentage, obesity, and their relation to the incidental risk of hypertension. J Clin Hypertens (Greenwich) 2019; 21:1496-1504. [PMID: 31498558 DOI: 10.1111/jch.13667] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Revised: 06/22/2019] [Accepted: 07/08/2019] [Indexed: 01/24/2023]
Abstract
Studies have indicated that increased body fat is associated with cardiovascular risk factors including hypertension. However, there is only limited information about the influence of body fat percentage (BF%) on incident hypertension. In a cohort of Korean genome epidemiology study (KoGES), 4864 non-hypertensive participants were divided into 5 quintile groups, and followed-up for 10 years to monitor incident hypertension. Cox proportional hazard model was used to evaluate the hazard ratio (HRs) and 95% confidence interval (CI) for hypertension (adjusted HRs [95% CI]) according to BF% quintile groups. Subgroup analysis was conducted by low or high level of BF% (cutoff: 22.5% in men and 32.5% in women) and low or high level of body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR). In adjusted model, compared with BF% quintile 1, the risk of incident hypertension significantly increased over BF% quintile 3 (BF% ≥19.9%) in men (quintile 3:1.42 [1.10-1.85], quintile 4:1.58 [1.22-2.05], quintile 5:1.82 [1.40-2.36]), and quintile 4 (BF% ≥32.5%) in women (quintile 4:1.48 [1.12-1.94], quintile 5:1.56 [1.20-2.04]). Subgroup analysis showed that individuals with high BF% were significantly associated with the increased risk of hypertension even in individuals with low BMI, WC, and WHR. The risk of hypertension increased proportionally to BF% over the specific level of BF% in Koreans. Even in non-obese individuals, increase in BF% was significantly associated with the increased risk of hypertension.
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Affiliation(s)
- Sung Keun Park
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae-Hong Ryoo
- Department of Occupational and Environmental Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Chang-Mo Oh
- Department of Occupational and Environmental Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Joong-Myung Choi
- Department of Occupational and Environmental Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Pil-Wook Chung
- Department of Neurology, College of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ju Young Jung
- Total Healthcare Center, School of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University, Seoul, Korea
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