All Components of Metabolic Syndrome Are Associated with Microalbuminuria in a Chinese Population

Lee, Yi-Yen; Yang, Chih‐Kai; Weng, Yiming; Chuang, Chung-Hsun; Yu, Wei; Chen, Jih-Chang; Li, Wencheng

doi:10.1371/journal.pone.0157303

Cited by 10 publications

(9 citation statements)

References 48 publications

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“…BP and fasting glucose were consistently found to be two main risk factors associated with MAU, which was also clearly shown in our study. However, the associations between MAU and abdominal obesity, HDL and TG levels were inconsistent in previous studies 8 9 16. Thus far, two studies have reported an association between MAU and risk of MetS, with ORs of 5.13 (95% CI 1.96 to 13.45) and 2.71 (95% CI 1.69 to 4.36),14 15 which is consistent with our finding.…”

Section: Discussionsupporting

confidence: 87%

“…Some studies have evaluated the relationship between MetS and MAU as a marker for early-stage chronic kidney disease 8–11. Significant associations between MetS and MAU have been demonstrated in Japanese,9 Korean10 12 and Chinese populations 13–16. However, data concerning the relationship between individual MetS components and MAU have been inconsistent, and a causal relationship between MAU and MetS remains unclear despite the predictive value MAU showed in the aforementioned studies.…”

Section: Introductionmentioning

confidence: 99%

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Association of microalbuminuria and high–normal 24-hour urinary albumin excretion with metabolic syndrome and its components in the general Chinese population: cross-sectional study

Chen

et al. 2019

BMJ Open

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ObjectiveMicroalbuminuria (MAU) has been described as a risk factor for metabolic syndrome (MetS). However, the association between MetS components with MAU and 24-hour urinary albumin excretion (UAE) has not been clearly explained in the general Chinese population. We aimed to analyse the associations between MAU and high–normal 24-hour UAE with MetS and its components.DesignCross-sectional observational study.SettingFour selected counties/districts in China’s Shandong and Jiangsu Provinces.ParticipantsA total of 2261 participants aged 18–69 years were included in this study. Participants with missing physical examination data or incomplete urine collection were not included in the analysis.ResultsThe prevalence of MAU was 9%, and the mean 24-hour UAE was 18 mg/d. The prevalence of MAU was significantly higher for the MetS, high blood pressure (BP), high triglyceride (TG) levels, low high-density lipoprotein cholesterol (HDL-C) and hyperglycaemia groups but not for the central obesity group. Both MAU and mean 24-hour UAE were significantly increased in association with a number of MetS components. The adjusted prevalence OR (POR) for MetS with MAU was 2.95 (95% CI 2.15 to 4.04) compared with those without MAU. MAU was significantly associated with three components of MetS: high BP (POR=1.86, 95% CI 1.31 to 2.64), high TG levels (POR=1.80, 95% CI 1.31 to 2.46) and hyperglycaemia (POR=1.84, 95% CI 1.34 to 2.53). No significant association between MAU and central obesity or low HDL-C was found. The presence of MetS gradually increased according to the normal-range 24-hour UAE quartiles: POR=1.00, POR=1.22, POR=1.14 and POR=2.02, respectively. Hyperglycaemia also increased significantly according to the normal-range 24-hour UAE quartiles.ConclusionsMAU and elevated 24-hour UAE within the normal range were closely associated with MetS in the Chinese population, which may provide a basis for the development of early interventions to decrease the effects of MetS.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Association of microalbuminuria and high–normal 24-hour urinary albumin excretion with metabolic syndrome and its components in the general Chinese population: cross-sectional study

Chen

et al. 2019

BMJ Open

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“…A recent review showed that microalbuminuria might not simply be regarded as a risk predictor but become itself an independent target for treatment of cardiovascular events [23,24]. Metabolic syndrome and all its components were associated with the presence of microalbuminuria in a health checkup population in China [25]. Our present study showed that level of Log UAE was increasing with the number of suffering diseases increasing, and there was positive correlation between Log UAE and CFPWV.…”

Section: Discussionsupporting

confidence: 55%

Cross-Sectional Relationship between Carotid-Femoral Pulse Wave Velocity and Biomarkers in Vascular-Related Diseases

Liu

Wang

Liu

et al. 2020

International Journal of Hypertension

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Objectives. The present study was done to investigate the relationship between carotid-femoral pulse wave velocity (CFPWV) and biomarkers such as homocysteine (Hcy), N-terminal pro-brain natriuretic peptide (NT-proBNP), and urine albumin (microalbumin) (UAE) in vascular-related diseases. Methods. 656 subjects were enrolled into our study. There were 377 patients with hypertension, 231 with coronary heart disease, 154 with diabetes mellitus, and 186 healthy subjects. They were divided into four groups according to the number of suffered diseases: group 1 had only one of three diseases, group 2 had two, and group 3 had all of three diseases. CFPWV was measured by Complior apparatus. Results. CFPWV was significantly higher in group 3 than in the healthy group, group 1, and group 2 (12.71 ± 2.38 vs 10.11 ± 2.28, 10.70 ± 2.12, and 11.92 ± 2.55, all p<0.05). The level of Hcy was significantly higher in group1, group 2, and group 3 than in healthy subjects, respectively. Levels of Log NT-proBNP and Log UAE were significantly higher in group 3 than in group 1 (2.27 ± 0.4 vs 2.10 ± 0.4, 1.00 ± 0.65 vs 0.68 ± 0.56, both p<0.05). Positive correlation between CFWV and Hcy, Log UAE, and Log NT-proBNP was found in the entire study group (r = 0.109, 0.196, and 0.119, all p<0.05). Multivariate analysis showed that pulse pressure, age, fasting plasma glucose, diastolic blood pressure, body mass index, and Log UAE were independent associating factors of CFPWV in all subjects (β = 0.334, p<0.001; β = 0.333, p<0.001; β = 0.126, p=0.004; β = 0.137, p=0.003; β = −0.142, p=0.002; and β = 0.098, p=0.031). Conclusions. CFPWV was significantly higher in subjects with hypertension, CHD, and DM. There was correlation between CFPWV and biomarkers such as NT-proBNP, Hcy, and urine albumin (microalbumin).

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“…The cut-offs of BMI were 27 kg/m 2 for mild obesity, 30 kg/m 2 moderate obesity, and 35 kg/m 2 severe obesity (Chu, 2005;Chang et al, 2017). Central obesity was defined by a WC ≥ 90 cm in males and 80 cm in females (Ma et al, 2013), a WHR of over 0.9 in males and 0.85 in females (Lin et al, 2004), and WHtR of over 0.6 (Lee et al, 2016b). All analysis was done using STATA (version 13, StataCorp, TX, United States).…”

Section: Discussionmentioning

confidence: 99%

Association of Physical Fitness Performance Tests and Anthropometric Indices in Taiwanese Adults

Chen

Wang

et al. 2020

Front. Physiol.

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BackgroundThe association between physical fitness performance tests and anthropometric indices is not clear. The study aims to explore the association between physical fitness performance and anthropometric indices in Taiwanese community-dwelling adults. This may help in monitoring anthropometric indices to improve physical fitness.MethodsWe recruited 2216 participants aged 23–64 years between 2014 and 2017. Physical fitness performance, including abdominal muscular endurance (60-s sit-up test), flexibility (sit-and-reach test), and cardiorespiratory endurance (3-min step test), was evaluated in all participants. The association of the physical fitness performance and anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), was analyzed using linear regression, with adjustments for age and gender.ResultsBody mass index was negatively associated with abdominal muscular endurance (p < 0.001) and cardiorespiratory endurance (p < 0.001). Neither BMI, WC, WHR, nor WHtR were significantly associated with flexibility. Abdominal muscle endurance, flexibility, and cardiorespiratory endurance were significantly lower in obese participants when obesity was defined using a BMI of ≥27, 30, and 35 kg/m2. Participants with central obesity that was defined as WC ≥ 90 cm in men and 80 cm in women and WHtR ≥ 0.6 had lower abdominal muscular endurance than those without central obesity.ConclusionBody mass index is associated with abdominal muscular endurance and cardiorespiratory endurance in a reverse J-shaped manner. None of the anthropometric indices are significantly associated with flexibility. Obesity defined by BMI is linked to worse physical fitness performance and obesity defined using WHtR is linked to lower abdominal muscular endurance in Taiwanese community-dwelling adults.

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All Components of Metabolic Syndrome Are Associated with Microalbuminuria in a Chinese Population

Cited by 10 publications

References 48 publications

Association of microalbuminuria and high–normal 24-hour urinary albumin excretion with metabolic syndrome and its components in the general Chinese population: cross-sectional study

Association of microalbuminuria and high–normal 24-hour urinary albumin excretion with metabolic syndrome and its components in the general Chinese population: cross-sectional study

Cross-Sectional Relationship between Carotid-Femoral Pulse Wave Velocity and Biomarkers in Vascular-Related Diseases

Association of Physical Fitness Performance Tests and Anthropometric Indices in Taiwanese Adults

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