Neck circumference as a predictor of metabolic syndrome: A cross-sectional study

Laohabut, Issarayus; Udol, Kamol; Phisalprapa, Pochamana; Srivanichakorn, Weerachai; Chaisathaphol, Thanet; Sitasuwan, Tullaya; Chouriyagune, Charoen; Auesomwang, Chonticha

doi:10.1016/j.pcd.2019.08.007

Cited by 13 publications

(19 citation statements)

References 33 publications

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“…In both men and women, those with MetS had a greater NC than those without MetS (data not shown) (39.5 cm vs. 37.5 cm in men and 34.6 cm vs. 32.3 cm in women, p < 0.001). A previous study from Thailand, published in 2020 [ 29 ], also found that the mean NC was significantly higher in participants with MetS (35.0 cm vs. 31.6 cm in women, p < 0.001) than those without MetS. These results support the possibility of using NC to predict MetS.…”

Section: Discussionsupporting

confidence: 72%

Neck Circumference as a Predictor of Metabolic Syndrome in Koreans: A Cross-Sectional Study

Kim¹,

Moon

Yun

2021

Nutrients

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Metabolic syndrome (MetS) is a complex metabolic disorder and a high-risk condition for type 2 diabetes and cardiovascular disease. Rapid screening of at-risk individuals using accurate and time-saving tools is effective in disease management. Using the Korea National Health and Nutrition Examination Survey (KNHANES) data, we collected data from 2234 participants suitable for the study design, of which 974 (43.6%) were men and 1260 (56.4%) were women. We used receiver operating characteristic (ROC) curve analysis to estimate the optimal sex-specific neck circumference (NC) cut-off point to predict the MetS risk. To analyze the risk of MetS according to the estimated NC, logistic regression analysis was performed to identify the confounding factors. The result of the ROC analysis showed that the optimal neck cut-off points for predicting the risk of MetS were 38.25 cm (AUC: 0.759, 95% CI: 0.729–0.790) in men and 33.65 cm (AUC: 0.811, 95% CI: 0.782–0.840) in women. In the upper NC cut-off point compared to the lower NC cut-off point, NC was associated with an increased MetS risk by 2.014-fold (p = 0.010) in men and 3.650-fold (p < 0.001) in women, after adjustments. The current study supports NC as an effective anthropometric indicator for predicting the risk of MetS. It is suggested that more studies should be conducted to analyze the disease prediction effect of the combined application of anthropometric indicators currently in use and NC.

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Section: Discussionsupporting

confidence: 72%

Neck Circumference as a Predictor of Metabolic Syndrome in Koreans: A Cross-Sectional Study

Kim¹,

Moon

Yun

2021

Nutrients

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Section: Discussionmentioning

confidence: 99%

“…Neck circumference was suggested as a new promising indicator of metabolic syndrome and cardiovascular risk [ 21 , 22 , 27 ]. ROC curve analysis performed by Laohabut et al showed that neck circumference may be a useful tool for metabolic syndrome prediction [ 22 ]. Yang et al presented that larger neck circumference is associated with an increased risk of coronary heart disease [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

“…Neck circumference (NC) is one of the anthropometric indicators of obesity, but also cardiovascular risk and metabolic syndrome [ 21 , 22 ]. It seems that since the metabolic syndrome consists of excess body weight, insulin resistance, and hypertension, the combination of NC and TyG may appear more accurate than either of these indicators alone.…”

Section: Introductionmentioning

confidence: 99%

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Newly proposed insulin resistance indexes called TyG-NC and TyG-NHtR show efficacy in diagnosing the metabolic syndrome

Mirr

Skrypnik

Bogdański

et al. 2021

J Endocrinol Invest

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Purpose Obesity and insulin resistance are considered cardinal to the pathophysiology of metabolic syndrome. Several simple indexes of insulin resistance calculated from biochemical or anthropometric variables have been proposed. The study aimed to assess the diagnostic accuracy of indirect insulin resistance indicators in detecting metabolic syndrome in non-diabetic patients, including TG/HDLc, METS-IR, TyG, TyG-BMI, TyG-WC, TyG-WHtR, and new indicators TyG-NC (TyG-neck circumference) and TyG-NHtR (Tyg-neck circumference to height ratio). Methods The diagnostic accuracy of eight insulin resistance indexes was assessed using the receiver operating characteristic curves (ROC curves) in 665 adult non-diabetic patients. Then, the analysis was performed after the division into groups with proper body mass index, overweight and obese. Results All indexes achieved significant diagnostic accuracy, with the highest AUC (area under the curve) for TyG (0.888) and Tg/HDLc (0.874). The highest diagnostic performance in group with the proper body mass index was shown for TyG (0.909) and TyG-BMI (0.879). The highest accuracy in the group of overweight individuals was presented by TyG (0.884) and TG/HDLc (0.855). TG/HDLc and TyG showed the highest AUC (0.880 and 0.877, respectively) in the group with obesity. Both TyG-NC and TyG-NHtR reached significant areas under the curve, which makes them useful diagnostic tests in metabolic syndrome. Conclusions Indirect indices of insulin resistance, including proposed TyG-NC and TyG-NHtR, show an essential diagnostic value in diagnosing metabolic syndrome. TyG and TG/HDLc seem to be the most useful in the Caucasian population.

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“…Obesity is influenced by various factors such as dietary behaviors, specific lifestyles, and is associated with reduced microbial diversity [64]. Obesity is also a principal feature of metabolic syndrome and anthropometrics measurements (a simple and useful method for predicting metabolic syndrome [65,66]), which are further increased in obese subjects with respect to normal and overweight subjects.…”

Section: Discussionmentioning

confidence: 99%

Increased Colonic Permeability and Lifestyles as Contributing Factors to Obesity and Liver Steatosis

et al. 2020

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Intestinal permeability (IP) is essential in maintaining gut-metabolic functions in health. An unequivocal evaluation of IP, as marker of intestinal barrier integrity, however, is missing in health and in several diseases. We aimed to assess IP in the whole gastrointestinal tract according to body mass index (BMI) and liver steatosis. In 120 patients (61F:59M; mean age 45 ± SEM 1.2 years, range: 18–75), IP was distinctively studied by urine recovery of orally administered sucrose (SO, stomach), lactulose/mannitol ratio (LA/MA, small intestine), and sucralose (SA, colon). By triple quadrupole mass-spectrometry and high-performance liquid chromatography, we measured urinary recovery of saccharide probes. Subjects were stratified according to BMI as normal weight, overweight, and obesity, and answered questionnaires regarding dietary habits and adherence to the Mediterranean Diet. Liver steatosis was assessed by ultrasonography. IP at every gastrointestinal tract was similar in both sexes and decreased with age. Stomach and small intestinal permeability did not differ according to BMI. Colonic permeability increased with BMI, waist, neck, and hip circumferences and was significantly higher in obese than in lean subjects. As determined by logistic regression, the odds ratio (OR) of BMI increment was significantly higher in subjects in the highest tertile of sucralose excretion, also after adjusting for age and consumption of junk food. The presence of liver steatosis was associated with increased colonic permeability. Patients with lower score of adherence to Mediterranean diet had a higher score of ‘junk food’. Intestinal permeability tended to increase in subjects with a lower adherence to Mediterranean diet. In conclusion, colonic (but not stomach and small intestinal) permeability seems to be linked to obesity and liver steatosis independently from dietary habits, age, and physical activity. The exact role of these last factors, however, requires specific studies focusing on intestinal permeability. Results should pave the way to both primary prevention measures and new therapeutic strategies in metabolic and liver diseases.

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Neck circumference as a predictor of metabolic syndrome: A cross-sectional study

Cited by 13 publications

References 33 publications

Neck Circumference as a Predictor of Metabolic Syndrome in Koreans: A Cross-Sectional Study

Neck Circumference as a Predictor of Metabolic Syndrome in Koreans: A Cross-Sectional Study

Newly proposed insulin resistance indexes called TyG-NC and TyG-NHtR show efficacy in diagnosing the metabolic syndrome

Increased Colonic Permeability and Lifestyles as Contributing Factors to Obesity and Liver Steatosis

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