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López-Herrera JA, Castillo AN, Ordoñez-Betancourth JE, Martínez Quiroz WDJ, Higuita-Gutiérrez LF, Suarez-Ortegon MF. Metabolically Unhealthy Normal Weight: Prevalence and Associated Factors in an Adult Population from Northwest Colombia. Diabetes Metab Syndr Obes 2024; 17:1337-1357. [PMID: 38525161 PMCID: PMC10959303 DOI: 10.2147/dmso.s449213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/11/2024] [Indexed: 03/26/2024] Open
Abstract
Background and Aim Individuals with a normal weight may have metabolic alterations at risk for chronic non-communicable diseases. The prevalence of this condition and associated factors have not been reported in Latin American populations. We aimed to estimate the presence and associated factors of Metabolically Unhealthy Normal Weight (MUNW) in adults from a public program for the control and prevention of chronic diseases in Medellín, Colombia. Methods Cross-sectional study. Overweight and normal weight were characterized according to the absence or presence of one or more components of the metabolic syndrome, obtaining four phenotypes: Metabolically Healthy Normal Weight (MHNW), MUNW (phenotype of interest), Metabolically Healthy Overweight (MHO), and Metabolically Unhealthy Overweight (MUO). The association of these phenotypes with sociodemographic variables of lifestyles and increased waist circumference was conducted by using logistic regression. Results In 37,558 individuals (72.7% women), the prevalence of MUNW was 23.3%. Among the additional phenotypes, MUO was found to be more prevalent (71.6%), while MHNW and MHO were very slightly common, 2% and 3.1%, respectively. In a multiple model, the factors associated with MUNW were age over 60 years (trend [OR 1.56 95% CI 0.97-2.52] p-value = 0.066), living in a rural area ([OR 1.58 95% CI 1.09-2.29] p-value = 0.015), and increased waist circumference ([OR 1.68 95% CI 1.45-1.95] p-value < 0.001). Male gender was inversely associated with all phenotypes (P < 0.05). Conclusion Almost a quarter of the analyzed population presented MUNW. People living in a rural area and over 60 years old were more likely to present MUNW. Men were less likely to present the weight phenotypes studied, although they could have been underrepresented.
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Affiliation(s)
- Julián Andrés López-Herrera
- Departamento de Salud Pública, Facultad de Ciencias de la Salud, Pontificia Universidad Javeriana Seccional Cali, Cali, Colombia
| | - Adriana Nathaly Castillo
- Departamento de nutrición y dietética, Institución Universitaria Escuela Nacional del Deporte, Cali, Colombia
| | | | | | - Luis Felipe Higuita-Gutiérrez
- School of Medicine, Universidad Cooperativa de Colombia, Medellín, Colombia
- School of Microbiology, Universidad de Antioquia, Medellín, Colombia
| | - Milton F Suarez-Ortegon
- Departamento de Alimentación y Nutrición, Facultad de Ciencias de la Salud, Pontificia Universidad Javeriana Seccional Cali, Cali, Colombia
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Ye J, Guo K, Li X, Yang L, Zhou Z. The Prevalence of Metabolically Unhealthy Normal Weight and Its Influence on the Risk of Diabetes. J Clin Endocrinol Metab 2023; 108:2240-2247. [PMID: 36916473 DOI: 10.1210/clinem/dgad152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023]
Abstract
CONTEXT Diabetes is a major health problem and metabolically unhealthy is an important risk factor. OBJECTIVE To conduct the first nationally representative study on epidemiological data of metabolically unhealthy normal weight (MUNW) focused only on nondiabetic subjects and determine the predictive effect on diabetes in China. METHODS A longitudinal study was conducted using data from the Rich Healthcare Group in China. Metabolic status was determined by the revised National Cholesterol Education Program Adult Treatment Panel III criteria, and individuals with 2 or more criteria were categorized as MUNW and diagnosed with metabolic syndrome (MetS) if they met 3 or more. RESULTS Of a total of 63 830 nondiabetic normal-weight individuals, 8935 (14.0%) were classified as MUNW and 1916 (3.00%) were diagnosed with MetS. After adjusting for potential confounders, individuals with MUNW had a greater diabetes risk (4.234, 95% CI 3.089-5.803) than those without MUNW during an average of 3.10 years of follow-up. Also, the multivariable-adjusted hazard ratios for developing diabetes were 3.069 (95% CI 1.790-5.263), 7.990 (95% CI 4.668-13.677), and 11.950 (95% CI 6.618-21.579) for participants with 1, 2, and 3 or more components, respectively, compared with those without any components. Further analyses suggested that the number of MetS components present is associated with the risk of diabetes, especially in metabolically unhealthy normal-weight young male adults. Multivariable-adjusted hazard ratios (95% CI) for incident diabetes among individuals with 1, 2, and at least 3 components were 4.45 (1.45-13.72), 9.82 (3.05-31.64), and 15.13 (3.70-61.84) for participants aged ≤44 years, and 3.55 (1.81-6.97), 8.52 (4.34-16.73), and 13.69 (6.51-28.77) for male participants, respectively. CONCLUSIONS The prevalence of MUNW is 14% in Chinese normal-weight nondiabetic individuals, and active intervention is necessary for this category of people. The presence of MUNW significantly increases the risk of diabetes, and the risk of diabetes is associated with the number of MetS components present in the patient.
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Affiliation(s)
- Jianan Ye
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Keyu Guo
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Lin Yang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, Second Xiangya Hospital of Central South University, Changsha, 410011, China
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Abstract
PURPOSE OF REVIEW This review aims to detail the current global research state of metabolically healthy obesogenesis with regard to metabolic factors, disease prevalence, comparisons to unhealthy obesity, and targeted interventions to reverse or delay progression from metabolically healthy to unhealthy obesity. RECENT FINDINGS As a long-term condition with increased risk of cardiovascular, metabolic, and all-cause mortality risks, obesity threatens public health on a national level. The recent discovery of metabolically healthy obesity (MHO), a transitional condition during which obese persons carry comparatively lower health risks, has added to confusion about the true effect of visceral fat and subsequent long-term health risks. In this context, the evaluation of fat loss interventions, such as bariatric surgery, lifestyle changes (diet/exercise), and hormonal therapies require re-evaluation in light of evidence that progression to high-risk stages of obesity relies on metabolic status and that strategies to protect the metabolism may be useful in the prevention of metabolically unhealthy obesity. Typical calorie-based exercise and diet interventions have failed to reduce the prevalence of unhealthy obesity. Holistic lifestyle, psychological, hormonal, and pharmacological interventions for MHO, on the other hand, may at least prevent progression to metabolically unhealthy obesity.
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Affiliation(s)
- Bryan J Mathis
- International Medical Center, University of Tsukuba Hospital, Tsukuba, Ibaraki, 305-8576, Japan.
| | - Kiyoji Tanaka
- Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan
| | - Yuji Hiramatsu
- International Medical Center, University of Tsukuba Hospital, Tsukuba, Ibaraki, 305-8576, Japan
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Prevalence and predictors of metabolically healthy obesity in severely obese Asian children. Pediatr Res 2022; 92:1374-1380. [PMID: 35132129 DOI: 10.1038/s41390-022-01941-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 12/01/2021] [Accepted: 12/20/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Obese individuals who have little or no metabolic syndrome components are proposed to be "metabolically healthy obese (MHO)". This study aim to evaluate the prevalence of MHO and examine the predictors associated with MHO in a multi-ethnic Asian cohort of severely obese children. METHODS This study included a cross-sectional cohort of 406 Chinese, Malay and Indian children aged 5-20 years old with BMI for age ≥ 97th percentile. Metabolic syndrome (MS) and metabolic health (MH) definitions based on the presence or absence of metabolic abnormalities (High triglycerides, low HDL cholesterol, elevated blood pressure and high glucose) were used to define MHO in the cohort. RESULTS The prevalence of MHO is 63.5% by MS definition and 22.4% by MH definition. Maternal healthy metabolic status (OR: 2.47), age (OR: 0.83, 0.80), paternal obesity (OR: 0.48, 0.53), Malay (OR: 1.97) and Indian ethnicity (OR: 6.38, 3.21) (compared to Chinese ethnicity) are independent predictors for MHO phenotype based on different MHO definitions. CONCLUSIONS Adiposity measures are not associated with MHO phenotype, but instead younger age, maternal healthy metabolic status, absence of paternal obesity, Malay and Indian ethnicity are independent predictors for MHO phenotype in a multi-ethnic Asian cohort of severely obese children. IMPACT The prevalence of metabolically healthy obese (MHO) in our multi-ethnic Asian cohort of severely obese children is 63.5% and 22.4%, respectively, based on different MHO definitions. Adiposity measures are not associated with the MHO phenotype. There are other factors that contribute to the metabolic phenotype in obese individuals. Younger age, maternal healthy metabolic status, absence of paternal obesity, Malay and Indian ethnicity are independent predictors for MHO phenotype. Parental influence is important in predicting metabolic health in obese individuals.
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Wang Z, He Y, Li L, Zhang M, Ruan H, Zhu Y, Wei X, Wei J, Chen X, He S. New metabolic health definition might not be a reliable predictor for mortality in the nonobese Chinese population. BMC Public Health 2022; 22:1629. [PMID: 36038857 PMCID: PMC9422146 DOI: 10.1186/s12889-022-14062-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 08/22/2022] [Indexed: 11/17/2022] Open
Abstract
Background Recently, a new metabolic health (MH) definition was developed from NHANES-III. In the origin study, the definition may stratify mortality risks in people who are overweight or normal weight. We aimed to investigate the association between the new MH definition and all-cause mortality in a nonobese Chinese population. Methods The data were collected in 1992 and then again in 2007 from the same group of 1157 participants. The association between the new MH definition and all-cause mortality were analyzed by Cox regression models with overlap weighting according to propensity score (PS) as primary analysis. Results At baseline in 1992, 920 (79.5%) participants were categorized as MH, and 237 (20.5%) participants were categorized as metabolically unhealthy (MUH) based on this new definition. During a median follow-up of 15 years, all-cause mortality occurred in 17 (1.85%) participants in MH group and 13 (5.49%) in MUH group, respectively. In the crude sample, Kaplan–Meier analysis demonstrated a significantly higher all-cause mortality in MUH group when compared to MH group (log-rank p = 0.002), and MUH was significantly associated with increased all-cause mortality when compared to MH with HR at 3.04 (95% CI: 1.47–6.25, p = 0.003). However, Kaplan–Meier analysis with overlap weighting showed that the cumulative incidence of all-cause mortality was not significantly different between MH and MUH groups (adjusted p = 0.589). Furthermore, in the primary multivariable Cox analysis with overlap weighting, adjusted HR for all-cause mortality was 1.42 (95% CI: 0.49—4.17, p = 0.519) in MUH group in reference to MH group. Other additional PS analyses also showed the incidence of all-cause mortality was not significantly different between the two groups. Conclusion The new MH definition may be not appropriate for mortality risk stratification in non-obese Chinese people. Further investigations are needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14062-3.
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Affiliation(s)
- Ziqiong Wang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yan He
- Department of Interventional Operating Room, Mianyang People's Hospital, Mianyang, China
| | - Liying Li
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Muxin Zhang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China.,Department of Cardiology, First People's Hospital, Longquanyi District, Chengdu, China
| | - Haiyan Ruan
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China.,Department of Cardiology, Hospital of Traditional Chinese Medicine, Shuangliu District, Chengdu, China
| | - Ye Zhu
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xin Wei
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China.,Department of Cardiology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China
| | - Jiafu Wei
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiaoping Chen
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Sen He
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
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Wang D, Mai Q, Yang X, Chi X, Li R, Jiang J, Luo L, Fang X, Yun P, Liang L, Yang G, Song K, Fang L, Chen Y, Zhang Y, He Y, Li N, Pan Y. Microduplication of 16p11.2 locus potentiates hypertrophic obesity in association with imbalanced triglyceride metabolism in white adipose tissue. Mol Nutr Food Res 2022; 66:e2100241. [PMID: 35072981 PMCID: PMC9286681 DOI: 10.1002/mnfr.202100241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 11/29/2021] [Indexed: 11/10/2022]
Abstract
Scope Copy number variation (CNV) of 16p11.2 is a common genetic factor contributing to the etiology of abnormal weight status, while the underlying mechanism is not fully elucidated yet. Methods and Results The 16p11.2 CNV mouse model with microduplication of the 7Slx1b‐Sept1 region (dp/+) is evaluated under normal chow conditions. Compared to the wild type littermates (WT), the dp/+ mice exhibit obvious obese phenotype characterized by significant increase in body mass index, fat pad mass, and fat ratio, with visceral‐dominant fat deposits at 12‐week age. White adipose tissue (WAT), liver tissue, and plasma are sampled to assess the comorbid metabolic syndrome. In dp/+ mice, histopathologic analyses reveal hypertrophic adipocytes and hepatic steatosis; serological examinations show hyperlipemia and hyperinsulinemia. Further, by comparing lipidomic and transcriptomic profiling of epididymal WAT between dp/+ and WT mice, the study finds the triglyceride (TG) accumulation in dp/+ mice in association with the dysfunction of lipid droplets. Validation of TG‐metabolism‐associated genes in WAT and in primary cultured adipocytes show enhanced TG synthesis and declined TG hydrolysis in the dp/+ model. Conclusion This study elucidates that the imbalanced TG synthesis/hydrolysis in adipocytic lipid droplets may contribute to the hypertrophic obesity and metabolic disorders in mice with 16p11.2 microduplication.
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Affiliation(s)
- Dilong Wang
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Qiuyan Mai
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xiuyan Yang
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xinjin Chi
- Department of Anesthesiology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Ruohan Li
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Jian Jiang
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Liang Luo
- Department of Emergency, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xiaoyi Fang
- Department of Pediatric, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Peng Yun
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Liyang Liang
- The Second Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Guang Yang
- Department of Burn and Plastic Surgery, Department of Wound Repair, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Kun Song
- Southern University of Science and Technology, Shenzhen, China
| | - Liang Fang
- Southern University of Science and Technology, Shenzhen, China
| | - Yun Chen
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Ying Zhang
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yulong He
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Ningning Li
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yihang Pan
- Tomas Lindahl Nobel Laureate Laboratory, Precision Medicine Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
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Pluimakers VG, van Santen SS, Fiocco M, Bakker MCE, van der Lelij AJ, van den Heuvel-Eibrink MM, Neggers SJCMM. Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review. Obes Rev 2021; 22:e13312. [PMID: 34258851 PMCID: PMC8596408 DOI: 10.1111/obr.13312] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/11/2021] [Accepted: 06/09/2021] [Indexed: 12/26/2022]
Abstract
Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.
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Affiliation(s)
| | - Selveta S van Santen
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.,Department of Medicine, Endocrinology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Marta Fiocco
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.,Medical Statistics, Department of Biomedical Data Science, Leiden UMC, Leiden, Netherlands.,Mathematical Institute, Leiden University, Leiden, Netherlands
| | - Marie-Christine E Bakker
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.,Department of Medicine, University Medical Center Utrecht, Netherlands
| | - Aart J van der Lelij
- Department of Medicine, Endocrinology, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Sebastian J C M M Neggers
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.,Department of Medicine, Endocrinology, Erasmus Medical Center, Rotterdam, Netherlands
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Wang WQ, Wei B, Song YP, Guo H, Zhang XH, Wang XP, Yan YZ, Ma JL, Wang K, Keerman M, Zhang JY, Ma RL, Guo SX, He J. Metabolically healthy obesity and unhealthy normal weight rural adults in Xinjiang: prevalence and the associated factors. BMC Public Health 2021; 21:1940. [PMID: 34696765 PMCID: PMC8547082 DOI: 10.1186/s12889-021-11996-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 10/13/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND This study aimed to describe the prevalence of metabolically healthy obesity (MHO) and metabolically unhealthy normal weight (MUNW) rural adults in Xinjiang and to explore their influencing factors. METHODS We selected 13,525 Uyghur, Kazakh and Han participants in Kashi, Yili and Shihezi areas in Xinjiang from 2009 to 2010. Weight status was classified according to body mass index. Metabolic phenotype was further defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS The prevalence of normal weight, overweight, and obesity were 51.6, 30.2, and 14.4%, respectively. The mean age of the population was 45.04 years. The prevalence of MHO was 5.5% overall and was 38.5% among obese participants. The prevalence of MUNW was 15.5% overall and was 30.1% among normal weight participants. A metabolically healthy phenotype among obese individuals was positively associated with females and vegetable consumption ≥4 plates per week. However, this was inversely associated with higher age, red meat consumption ≥2 kg per week, and larger waist circumference (WC). Conversely, a metabolically unhealthy phenotype among normal-weight individuals was positively associated with higher age, red meat consumption ≥2 kg per week, and larger WC; this was however inversely associated with vegetable consumption ≥4 plates per week. CONCLUSIONS The prevalence of MHO among obese adults in Xinjiang is higher than that of Han adults, while the prevalence of MUNW among normal weight adults is lower than that among Han adults. In obese and normal weight participants, higher age, more red meat consumption, and larger WC increase the risk of metabolic abnormality, and more vegetable consumption reduces the risk of metabolic abnormality.
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Affiliation(s)
- Wen-Qiang Wang
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Bin Wei
- The First Affiliated Hospital of Shihezi University Medical College, Shihezi, 832000, Xinjiang, China
| | - Yan-Peng Song
- The First Affiliated Hospital of Shihezi University Medical College, Shihezi, 832000, Xinjiang, China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Xiang-Hui Zhang
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Xin-Ping Wang
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Yi-Zhong Yan
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Jiao-Long Ma
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Kui Wang
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Mulatibieke Keerman
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Jing-Yu Zhang
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Ru-Lin Ma
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China
| | - Shu-Xia Guo
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China. .,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, 832000, Xinjiang, China.
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832000, Xinjiang, China. .,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, 832000, Xinjiang, China.
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Liu X, Wu Q, Yan G, Duan J, Chen Z, Yang P, Bragazzi NL, Lu Y, Yuan H. Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype. J Endocrinol Invest 2021; 44:1253-1261. [PMID: 32909175 DOI: 10.1007/s40618-020-01417-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/01/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE People with the metabolically obese normal weight (MONW) phenotype are considered as an extremely high-risk group for unfavorable health consequences, but they are frequently undetected due to deceptive body mass index (BMI) and complex assessment. This study aimed to explore the clinical usefulness of cardiometabolic index (CMI) in identifying MONW individuals. METHODS This cross-sectional study involved a total of 47,683 normal-weight subjects aged ≥ 18 years. Participants underwent anthropometrics, routine biochemical tests, and questionnaires for a full evaluation of the metabolic profile. The odds ratio (OR) of CMI and MONW phenotype was determined by the Logistic regression models and the diagnostic accuracy of CMI was evaluated by the receiver operating characteristic (ROC) curve analysis. RESULTS The prevalence of MONW phenotype was 11.0%. After multivariate adjustment, the ORs for MONW in the highest compared with the lowest quartile of CMI was 71.20 (95% CI 55.19-91.86), and 1-SD increment of CMI brought a 54% additional risk. In ROC analysis, compared with BMI and waist circumference, CMI showed superior performance for identifying MONW individuals with an AUC of 0.853 (95% CI 0.847-0.860) in men and 0.912 (95% CI 0.906-0.918) in women, respectively. Moreover, CMI exhibited the highest diagnostic accuracy in younger age groups (aged 18-34 for men; aged 18-34 and 35-44 for women), in which AUCs surpassed 0.9 in both sexes. CONCLUSIONS CMI could be served as a valuable indicator to identify MONW phenotype of Chinese adults, particularly for young people.
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Affiliation(s)
- X Liu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - Q Wu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - G Yan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - J Duan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China
| | - Z Chen
- Department of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - P Yang
- Department of Health Examination Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - N L Bragazzi
- Centre for Disease Modelling, York University, Toronto, ON, Canada
| | - Y Lu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China.
- National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, Hunan, China.
| | - H Yuan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tong-Zi-Po Road, Changsha, 410013, Hunan, China.
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China.
- National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, Hunan, China.
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10
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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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11
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Kouda K, Fujita Y, Ohara K, Tachiki T, Tamaki J, Yura A, Moon JS, Kajita E, Uenishi K, Iki M. Associations between trunk-to-peripheral fat ratio and cardiometabolic risk factors in elderly Japanese men: baseline data from the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study. Environ Health Prev Med 2021; 26:35. [PMID: 33743595 PMCID: PMC7980554 DOI: 10.1186/s12199-021-00959-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/11/2021] [Indexed: 12/02/2022] Open
Abstract
Background Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men. Methods We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat. Results Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes (“user group”; N = 347) were significantly larger than those who did not use such medication (“non-user group”; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199). Conclusion The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.
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Affiliation(s)
- Katsuyasu Kouda
- Department of Hygiene and Public Health, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka, 573-1010, Japan.
| | - Yuki Fujita
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Kumiko Ohara
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Takahiro Tachiki
- Chukyo Gakuin University Faculty of Nursing, 2216 Tokicho, Mizunami, Gifu, 509-6192, Japan
| | - Junko Tamaki
- Department of Hygiene and Public Health, Osaka Medical College, 2-7 Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Akiko Yura
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Jong-Seong Moon
- Department of Nursing, Kio University, 4-2-2 Umami-naka, Koryo-cho, Nara, 635-0832, Japan
| | - Etsuko Kajita
- Chukyo Gakuin University Faculty of Nursing, 2216 Tokicho, Mizunami, Gifu, 509-6192, Japan
| | - Kazuhiro Uenishi
- Laboratory of Physiological Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado, Saitama, 350-0288, Japan
| | - Masayuki Iki
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
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12
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Shi M, Zhou X, Zheng C, Pan Y. The association between parity and metabolic syndrome and its components in normal-weight postmenopausal women in China. BMC Endocr Disord 2021; 21:8. [PMID: 33413314 PMCID: PMC7792174 DOI: 10.1186/s12902-020-00674-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 12/22/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Studies analyzing the association between parity and normal-weight metabolic syndrome (MetS) in postmenopausal women of normal weight remain limited, this study aimed to explore the association between parity and MetS among Chinese normal-weight postmenopausal women. METHODS In total, 776 normal-weight undiagnosed type 2 diabetes postmenopausal women who visited the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University for a routine health check-up between 1 January 2017 and 31 December 2019 were included in the cross-sectional study. All individuals had fully completed information records encompassing standardized electronic medical records, physical examinations, and biochemical measurements. Metabolic health was defined as fewer than 2 parameters of the MetS were present, in combination with normal weight. Continuous variables which were normally distributed were expressed as means and standard deviation. Comparisons among normally distributed continuous variables were made using one-way ANOVA while that among non-normal distribution parameters were made using Kruskal-Wallis. The association between parity and MetS was analyzed using multivariate logistic regression. All of the analyses were performed with SPSS statistical software (Version 23.0, SPSS, Inc., Chicago, IL, USA) and the statistical software package EmpowerStats ( http://www.empowerstats.com , X&Y Solutions, Inc., Boston, MA). RESULTS After adjusting for potential confounding factors including hip circumference, parity was failed to show a significantly relationship with MetS in normal-weight women(P=0.054). Women with a higher parity (≥3) had an increased OR of abdominal obesity, while the OR (95% CI) of the parity 3 group was 2.06 (1.13, 3.77) and that of the parity ≥4 group was 3.08(1.42, 6.66) the P for trend was 0.002 after adjusting for potential confounding factors. No significant differences were detected for other metabolic disorders including high levels of triglycerides (TG), blood pressure, fasting plasma glucose (FPG), and decreased high-density lipoprotein cholesterol (HDL-C) in different parity groups. CONCLUSIONS Higher parity was not associated with a higher risk of MetS in normal weight Chinese postmenopausal women. As for the components of MetS, only waist circumference was associated with multiparity even after controlling for hip circumference.
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Affiliation(s)
- Mengte Shi
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, No. 109, Xueyuanxi Road, Wenzhou, Zhejiang, 325000, China
| | - Xinhe Zhou
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, No. 109, Xueyuanxi Road, Wenzhou, Zhejiang, 325000, China
| | - Chao Zheng
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, No. 109, Xueyuanxi Road, Wenzhou, Zhejiang, 325000, China.
- The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
| | - Youjin Pan
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, No. 109, Xueyuanxi Road, Wenzhou, Zhejiang, 325000, China.
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Deletion of Trim28 in committed adipocytes promotes obesity but preserves glucose tolerance. Nat Commun 2021; 12:74. [PMID: 33397965 PMCID: PMC7782476 DOI: 10.1038/s41467-020-20434-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 12/01/2020] [Indexed: 12/19/2022] Open
Abstract
The effective storage of lipids in white adipose tissue (WAT) critically impacts whole body energy homeostasis. Many genes have been implicated in WAT lipid metabolism, including tripartite motif containing 28 (Trim28), a gene proposed to primarily influence adiposity via epigenetic mechanisms in embryonic development. However, in the current study we demonstrate that mice with deletion of Trim28 specifically in committed adipocytes, also develop obesity similar to global Trim28 deletion models, highlighting a post-developmental role for Trim28. These effects were exacerbated in female mice, contributing to the growing notion that Trim28 is a sex-specific regulator of obesity. Mechanistically, this phenotype involves alterations in lipolysis and triglyceride metabolism, explained in part by loss of Klf14 expression, a gene previously demonstrated to modulate adipocyte size and body composition in a sex-specific manner. Thus, these findings provide evidence that Trim28 is a bona fide, sex specific regulator of post-developmental adiposity and WAT function.
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14
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Płaczkowska S, Pawlik-Sobecka L, Kokot I, Piwowar A. The association between serum uric acid and features of metabolic disturbances in young adults. Arch Med Sci 2021; 17:1277-1285. [PMID: 34522256 PMCID: PMC8425241 DOI: 10.5114/aoms.2020.93653] [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: 03/06/2018] [Accepted: 10/06/2018] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION The increase in the number of people affected by different metabolic disturbances, especially among young people, is alarming. It seems worthwhile to reappraise the usefulness of commonly used laboratory parameters potentially associated with metabolic and metabolically obese normal weight syndrome. Serum uric acid may be considered as an indicator and/or a predictor of metabolic disorders. We evaluated serum uric acid concentration in relation to metabolic syndrome, as well as metabolically obese normal weight features, and examined its usefulness in improving metabolic and metabolically obese normal weight syndrome diagnosis in young people. MATERIAL AND METHODS In 349 apparently healthy people, aged 18-31, features of metabolic and metabolically obese normal weight syndrome and serum uric acid concentration were examined under fasting conditions. RESULTS Prevalence of metabolic syndrome increased in uric acid quartiles, while the percentage of metabolically obese normal weight syndrome was at a similar level in all uric acid quartiles. A relationship between uric acid concentration and features of metabolic disorders in quartile and correlation analysis was revealed. Data mining techniques did not indicate the usefulness of uric acid for distinguishing people with metabolic syndrome from those with metabolically obese normal weight syndrome. CONCLUSIONS We confirmed that in young people an increase in uric acid levels is more closely related to metabolic syndrome features than insulin resistance. Serum uric acid concentration could not be recommended as an independent, strong marker of metabolic or metabolically obese normal weight syndrome occurrence in young people, but finding its elevated concentration should be an indicator for screening for other disturbances associated with metabolic syndrome.
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Affiliation(s)
- Sylwia Płaczkowska
- Diagnostics Laboratory for Teaching and Research, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
| | - Lilla Pawlik-Sobecka
- Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
| | - Izabela Kokot
- Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
| | - Agnieszka Piwowar
- Department of Toxicology, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
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Zheng Q, Lin W, Liu C, Zhou Y, Chen T, Zhang L, Zhang X, Yu S, Wu Q, Jin Z, Zhu Y. Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population. BMC Public Health 2020; 20:487. [PMID: 32293373 PMCID: PMC7161294 DOI: 10.1186/s12889-020-08630-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 04/01/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND There is metabolic heterogeneity in normal-weight individuals, however, there has been limited research in the Chinese population. This study aimed to investigate the prevalence, distribution and epidemiological determinants of metabolically obese but normal-weight (MONW) in a Chinese population. METHODS A total of 17,876 normal-weight individuals were recruited from 37,815 individuals in Zhejiang province in southeastern China. Normal-weight was defined as a body mass index (BMI) of 18.5-23.9 kg/m2. Metabolically abnormal traits were assessed by metabolic syndrome criteria from the International Diabetes Federation (IDF) in 2015. MONW was defined as individuals who had at least two metabolically abnormal trait but normal weight. Multiple logistic regression was used to investigate MONW risk factors, adjusting for potential confounders. RESULTS The prevalence of metabolic abnormality was 34.1% in normal-weight individuals, and the overall prevalence of MONW was 16.1% in the general population. Different MONW distributions were found between men and women depending on age. Compared with women, men had a significantly higher MONW prevalence among those aged < 45 years old, and there was a lower prevalence for those aged ≥50 years old. Higher BMI or waist circumference (WC), central obesity, menopause, and family histories of hypertension, diabetes, and cardiovascular diseases, increased MONW risk. Higher education levels, regular alcohol drinking, and balanced or vegetarian food preferences reduced MONW risk. CONCLUSIONS Normal-weight individuals have metabolic heterogeneity in China. The MONW distribution between men and women depends on age. BMI, WC, dietary factors, and family history of chronic diseases, are associated with metabolic status.
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Affiliation(s)
- Qianqian Zheng
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Weihua Lin
- Hangzhou MetaWell Technology Co., Hangzhou, China
| | - Chengguo Liu
- Putuo District People's Hospital, Zhoushan, 316100, Zhejiang, China
| | - Yaohan Zhou
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Tianhui Chen
- Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, Zhejiang Province, China
| | - Liqun Zhang
- Putuo District People's Hospital, Zhoushan, 316100, Zhejiang, China
| | - Xuhui Zhang
- Hangzhou Center for Disease Control and Preventio, Hangzhou, 310051, Zhejiang, China
| | - Senhai Yu
- Daicun Town Community Health Service Center, Xiaoshan District, Hangzhou, Zhejiang, China
| | - Qiong Wu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Ziqi Jin
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Yimin Zhu
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
- Department of Respiratory Diseases, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, 310020, Zhejiang, China.
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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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