The association between body composition and metabolically unhealthy profile of adults with normal weight in Northwest China

Qiu, Jiangwei; Zhao, Yu; Yin, Tao; Li, Xiaoxia; Wang, Qingan; Jing, Jinyun; Zhang, Jiaxing; Wang, Faxuan; Liu, Xiuying; Liu, Lan; Zhao, Yaping; Zhang, Yuhong

doi:10.1371/journal.pone.0248782

Cited by 10 publications

(7 citation statements)

References 33 publications

(38 reference statements)

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“…19,20 Increased visceral fat relative to BMI or subcutaneous fat has been postulated to explain the high prevalence of metabolic abnormalities in Asians, particularly among those with normal BMI. 20,22 In our study, although NAFLD patients with MS had larger areas of fat in visceral, subcutaneous, and muscle compartments compared to those without MS, only VFA remained significantly different on multivariate analysis.…”

Section: Discussionmentioning

confidence: 46%

Metabolic abnormalities, liver and body fat in American versus Chinese patients with non‐alcoholic fatty liver disease

Zhang

Kaza

et al. 2022

JGH Open

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Background and Aim Non‐alcoholic fatty liver disease (NAFLD) is common in the United States and China. We compared prevalence of metabolic syndrome (MS), hepatic steatosis and fibrosis, and quantity and quality of body fat between American versus Chinese patients with NAFLD. Methods NAFLD patients were prospectively recruited from the University of Michigan Health System (UMHS) in the United States and Peking University Health Sciences Center (PUHSC) in China. All patients had baseline computed tomography (CT), laboratory tests and Fibroscan® controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Comparisons were made for overall cohorts and matched cohorts (matched for sex, age, and body mass index [BMI] category). Logistic regression was performed to identify independent predictors of moderate and severe steatosis and lack of advanced fibrosis. Results One‐hundred and one American and One‐hundred and sixty Chinese patients were included. UMHS patients were older, with higher prevalence of MS, had higher LSM and CAP scores, and more fat in liver, visceral, subcutaneous, and muscle compartments than PUHSC patients. Differences in LSM, visceral fat Hounsfield unit, and subcutaneous fat area (SFA) persisted in the matched cohort. NAFLD patients with MS had significantly higher LSM, and more fat in liver, visceral, subcutaneous and muscle compartments than those without. Moderate or severe steatosis was independently associated with MS, visceral fat quality, and SFA, while the absence of advanced fibrosis was associated with Asian race and not having MS. Conclusion American patients with NAFLD had more liver fibrosis than Chinese patients despite having better quality visceral fat and after matching for age, sex, and BMI category.

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Section: Discussionmentioning

confidence: 46%

Metabolic abnormalities, liver and body fat in American versus Chinese patients with non‐alcoholic fatty liver disease

Zhang

Kaza

et al. 2022

JGH Open

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“…In a cohort of 5,427 nonobese Chinese adults (35-74 y, women 59.6%), those with at least two cardiometabolic risk factors were compared with those without risk factors. 55 Regardless of age, VAT was always higher in women with cardiometabolic risk factors than in those without risk factors. These results may suggest an increased occurrence of cardiovascular events as shown by the Women's Health Initiative study, which followed 2,683 postmenopausal women with normal BMI and no cardiovascular disease for 17.9 years.…”

Section: Variability Of Blood Pressure and Blood Tests Explained By V...mentioning

confidence: 93%

Association of adiposity evaluated by anthropometric, BIA, and DXA measures with cardiometabolic risk factors in nonobese postmenopausal women: the CoLaus/OsteoLaus cohort

et al. 2022

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Objective: After menopause, body composition changes with body fat accumulation, and an increase in cardiometabolic risk factors. Total fat mass, regional fat mass, and visceral adipose tissue (VAT) may be estimated with anthropometric measures, bioelectrical impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA). The aim of our study was to assess which measurement correlated best with cardiometabolic risk factors in healthy nonobese postmenopausal women.Methods: The CoLaus/OsteoLaus cohort included 1,500 postmenopausal women (age range 50-80). We analyzed correlations between: 1) measurements of body composition assessed by anthropometric measures, BIA, and DXA and 2) these measurements and different selected cardiometabolic risk factors, such as blood pressure, lipid markers (cholesterol subtypes and triglycerides), and metabolic markers (glucose, insulin, adiponectin, and leptin). Spearman correlation coefficient, stepwise forward regression, and linear regression analyses were used to determine association between anthropometric measurements and cardiometabolic risk factors.Results: In the 803 included participants (mean age 62.0 AE 7.1 y, mean body mass index 25.6 kg/m2 AE 4.4), correlations between total fat mass measured by BIA and total fat mass, android fat, gynoid fat, or VAT measured by DXA are very strong (from r ¼ 0.531, [99% confidence interval (CI), 0.443-0.610] to r ¼ 0.704, [99% CI, 0.640-0.758]). Body mass index and waist circumference have a higher correlation with VAT (r ¼ 0.815, [99% CI, 0.772-0.851] and r ¼ 0.823 [99% CI, 0.782-0.858], respectively) than BIA (r ¼ 0.672 [99% CI, 0.603-0.731]). Among the anthropometric measurement and the measurements derived from DXA and BIA, VAT is the parameter most strongly associated with cardiometabolic risk factors. VAT better explains the variation of most of the cardiometabolic risk factors than age and treatment. For example, nearly 5% of the variability of the diastolic blood pressure (9.9 vs 4.9), nearly 15% of the variability of high-density lipoprotein cholesterol (20.3 vs 3.8) and triglyceride (21.1 vs 6.5), 25.3% of the variability of insulin (33.3 vs 8.1), and 37.5% of the variability of leptin (37.7 vs 1.1) were explained by VAT.Conclusions: BIA seems not to be a good tool to assess VAT. At the population level, waist circumference and body mass index seem to be good tools to estimate VAT. VAT measured by DXA is the parameter most correlated with cardiometabolic risk factors and could become a component of the cardiometabolic marker on its own.

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“…In a Spanish population, the risk of MONW at the age of > 75 years was as much as 12.5 times higher than the risk at the age of 18-30 years [53]. Fan et al also emphasised that the prevalence of MONW in women increased significantly after the age of 55 years, in contrast to men [34]. Consequently, the studies conducted among older age groups may indicate a higher prevalence of the phenotype in women than in men.…”

Section: Prevalence Of Monw and Transitions Between Phenotypesmentioning

confidence: 98%

Prevalence and factors related to the metabolically obese normalweight (MONW) phenotype: a review

Suliga¹,

Głuszek-Osuch²,

Głuszek³

2023

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The aim of this review was to assess the prevalence and factors related to the metabolic obesity with normal weight (MONW) phenotype. Studies published in English up to December 2021 in the PubMed, Science Direct and Google Scholar databases were searched. The prevalence of MONW is estimated to range from 1.0% to 28.6%, depending on the age of the study participants and the definition of MONW used in the studies. Difficulties in determining the genetic causes of MONW result primarily from the lack of a uniform definition and from the complexity of the disorder. Each component of MONW may be determined by different genes. A person's lifestyle, in particular their diet, seems to be a significant factor in the development of MONW. Studies have so far been unable to determine the optimal type and duration of dietary intervention needed to improve the metabolic parameters in individuals with MONW. StreszczenieCelem pracy była ocena częstości występowania i czynników związanych z fenotypem metabolicznej otyłości z prawidłową masy ciała (MONW). Dokonano przeglądu prac dotyczących rozpowszechnienia MONW, opublikowanych w języku angielskim do grudnia 2021 r. w bazach PubMed, Science Direct i Google Scholar. Występowanie MONW w różnych populacjach jest szacowane na 1-28,6%, w zależności od wieku uczestników i definicji fenotypu przyjętej przez autorów badania. Trudności związane z określeniem uwarunkowań genetycznych MONW wynikają przede wszystkim z braku jednolitej definicji oraz ze złożoności zespołu. Każdy komponent MONW może być determinowany przez różne geny. Wydaje się, że istotną rolę w rozwoju tego fenotypu odgrywa styl życia, w szczególności sposób żywienia. Dotąd nie wyjaśniono jednak, jaki rodzaj i czas trwania interwencji dietetycznej byłby najbardziej skuteczny w poprawie parametrów metabolicznych u osób z MONW.

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The association between body composition and metabolically unhealthy profile of adults with normal weight in Northwest China

Cited by 10 publications

References 33 publications

Metabolic abnormalities, liver and body fat in American versus Chinese patients with non‐alcoholic fatty liver disease

Metabolic abnormalities, liver and body fat in American versus Chinese patients with non‐alcoholic fatty liver disease

Association of adiposity evaluated by anthropometric, BIA, and DXA measures with cardiometabolic risk factors in nonobese postmenopausal women: the CoLaus/OsteoLaus cohort

Prevalence and factors related to the metabolically obese normalweight (MONW) phenotype: a review

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