Prevalence of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) in Chinese Beijing urban subjects

Zhang, Yan; Fu, Jing; Yang, Shuwen; Yang, Ming; Liu, Annan; Wang, Leilei; Cao, Suyan; Sun, Xin; Wang, Fang; Liu, Deping

doi:10.5582/bst.2017.01016

Cited by 25 publications

(27 citation statements)

References 30 publications

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“…However, we found different distributions between men and women. In one study, male gender was found to be a MONW risk factor [22], while females ha ad higher MONW prevalence in another study [14]. This inconsistency could be well explained by our findings.…”

Section: Discussionmentioning

confidence: 40%

“…The MONW prevalence around the world varies greatly [4,6,13,14,17]. Previous studies have indicated that the global MONW prevalence ranges from as low as 5% to as high as 45%.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies mainly focused on Caucasians and people of African descent; research in this space on Asians is very limited. In 2017, Zhang et al [14] reported that metabolic syndrome prevalence was 8.14% among normal-weight individuals in Beijing, China. However, individuals in this study were recruited from a health examination center, and this may have led to selection bias due to the low representativeness of these individuals; hence, the results might be difficult to extrapolate.…”

mentioning

confidence: 99%

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Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population

Zheng¹,

Lin²,

Liu³

et al. 2020

BMC Public Health

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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/m 2 . 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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Section: Discussionmentioning

confidence: 40%

“…The MONW prevalence around the world varies greatly [4,6,13,14,17]. Previous studies have indicated that the global MONW prevalence ranges from as low as 5% to as high as 45%.…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population

Zheng¹,

Lin²,

Liu³

et al. 2020

BMC Public Health

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“…This phenomenon affects mainly the skeletal muscles (peripheral IR) and/or liver and adipose tissue cells (central IR) [1]. Current studies indicate that insulin resistance affects large population groups of working-age, and is particularly associated with overweight and obesity [2,3], However, an increasing number of reports show that insulin resistance may also affect young people with normal body weight, with no overt metabolic disorders or positive family history of metabolic disturbances [4].…”

Section: Introductionmentioning

confidence: 99%

Estimation of reference intervals of insulin resistance (HOMA), insulin sensitivity (Matsuda), and insulin secretion sensitivity indices (ISSI-2) in Polish young people

Płaczkowska

Pawlik-Sobecka

Kokot

et al. 2020

Ann Agric Environ Med.

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Introduction. Insulin resistance is becoming an increasingly widespread problem worldwide. For its determination indirect indices of insulin resistance or insulin sensitivity have used. Those indices based on simultaneous measurements of blood glucose and insulin concentrations under fasting conditions or during the Oral Glucose Tolerance Test. Objective. The aim of the study was to estimate reliable reference values for the indices used in insulin resistance diagnosis. Materials and method. 191 selected participants, aged 18-31, were enrolled into the reference population. 130 participants from the reference population with fasting glucose ≤5.5 mmol/L, BMI<25 kg/m 2 , and without metabolic syndrome, were finally included in the reference group. The following insulin resistance indices were calculated: HOMA1-IR, HOMA2, HOMA2 from C-peptide, QUICKI, Matsuda Index and Insulin Secretion-Sensitive Index-2. Determination of reference intervals for indirect indices of insulin resistance was conducted in accordance with the C28-A3 procedure recommended by the Clinical & Laboratory Standards Institute (CLSI). Results. The reference intervals for indirect insulin resistance indices examined according to CLSI protocol were: ≤4.00, ≤2.27, ≤4.10, ≥0.31 for HOMA1-IR, HOMA2, HOMA2 C-pep., and QUICKI, respectively. For insulin sensitivity, the value of the Matsuda Index was established as ≥3.19 and for beta cell pancreatic function ISSI-2 as ≥206. Conclusions. Establishing a reference intervals for these indices enable the proper identification and differentiation of the types of insulin resistance in particular populations. The early detection of metabolic disorders allows for introduction of effective preventive action.

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“…MUHNW individuals were those who presented with MetS with a normal body mass index (BMI) (18.5-24.9 kg/m 2 ) [6]. Nowadays, information on the global prevalence of MUHNW is scarce and inconsistent for different criteria of metabolic abnormalities [7][8][9]. Zheng et al concluded that the prevalence of metabolic abnormality was 34.1% in normalweight individuals [16].…”

Section: Introductionmentioning

confidence: 99%

The Association Between Parity and Metabolically Unhealthy Normal-Weight in Chinese Postmenopausal Women

Shi¹,

Zhou²,

Zheng³

et al. 2020

Preprint

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BackgroundStudies analyzing the association between parity and metabolically unhealthy normal-weight (MUHNW) individuals in postmenopausal women remain limited, this study aimed to explore the association between parity and MUHNW among Chinese postmenopausal women.MethodsIn 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 study. All individuals had fully completed information records encompassing standardized electronic medical records, physical examinations, and biochemical measurements. The association between parity and MUHNW was analyzed using multivariate logistic regression.ResultsCompared to women with a parity of one, the odds ratios (OR) [95% confidence interval (CI)] of the parity 2, 3, and ≥4 groups were observed to be 1.40 (0.89, 2.20), 2.00 (1.16, 3.44) and 1.87 (0.96, 3.62), respectively, with P for trend < 0.05 after adjusting for potential confounding factors. Women with a higher parity (≥3) had an increased OR of abdominal obesity, while the OR (95% CI) of the parity 3 group was 2.54 (1.46, 4.40) and that of the parity 4 group was 4.25 (2.11, 8.56), the P for trend < 0.001 after adjusting for age, body mass index (BMI), education level, first-degree relatives of patients with diabetes, smoking status, alcohol drinking status, physical activity, pregnancy losses, age at menarche, and duration of reproductive years. 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.ConclusionHigher parity was associated with a higher risk of MUHNW in Chinese postmenopausal women. Accordingly, it may be plausible that parity serves as a risk factor for metabolic disorders irrespective of BMI, and abdominal obesity may play an important role in metabolic disorders.

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Prevalence of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) in Chinese Beijing urban subjects

Cited by 25 publications

References 30 publications

Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population

Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population

Estimation of reference intervals of insulin resistance (HOMA), insulin sensitivity (Matsuda), and insulin secretion sensitivity indices (ISSI-2) in Polish young people

The Association Between Parity and Metabolically Unhealthy Normal-Weight in Chinese Postmenopausal Women

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