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

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3029
Author(s):  
Kyoung-Yun Kim ◽  
Ha-Rin Moon ◽  
Jung-Mi Yun
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Rapid Screening ◽  
Roc Curve Analysis ◽  
Time Saving ◽  
Cross Sectional ◽  
Combined Application ◽  
Health And Nutrition ◽  
Risk Condition

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.

scholarly journals Neck Circumference as an Anthropometric Indicator of Central Obesity in Patients with Prediabetes: A Cross-Sectional Study

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Thunyarat Anothaisintawee ◽  
Nakarin Sansanayudh ◽  
Sangsulee Thamakaison ◽  
Dumrongrat Lertrattananon ◽  
Ammarin Thakkinstian
Keyword(s):  
Waist Circumference ◽  
Central Obesity ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Youden Index ◽  
Sectional Study ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Pairwise Correlation ◽  
Glucose Levels

Measurement of waist circumference has substantial variability and some limitations, while neck circumference is a simple and reliable anthropometric measure. This study aimed to assess the association between neck circumference and waist circumference and to identify the best cutoff of neck circumference that could predict central obesity in prediabetic patients. This cross-sectional study included adult patients with prediabetes, defined as having fasting plasma glucose levels ranging from 100 to 125 mg/dL or HbA1c ranging from 5.7 to 6.49%, who visited the outpatient clinic of Family Medicine Department, Ramathibodi Hospital, Thailand, during October 2014 and March 2016. Neck circumference was measured from the level just below the laryngeal prominence perpendicular to the long axis of the neck. Central obesity was defined as having waist circumference measurements greater than 90 and 80 cm for males and females, respectively. The correlation between neck circumference and waist circumference was explored by applying pairwise correlation coefficient. Receiver operating characteristic (ROC) curve analysis was performed and Youden index equal to “sensitivity – (1-specificity)” was calculated. Neck circumference that yielded the maximum Youden index was determined as the optimal cutoff point for prediction of central obesity. There were 1,534 patients eligible for this study. After adjusting for covariables, neck circumference was found to be significantly associated with waist circumference in both females and males, with β-coefficients of 1.01 (95% CI: 0.83, 1.20) and 0.65 (95% CI: 0.46, 0.85), respectively. After applying the ROC analysis, neck circumferences ≥ 32 cm in females and ≥ 38 cm in males were determined as the best cutoff values to predict central obesity. Neck circumference is strongly correlated with waist circumference in prediabetics and should be considered as an alternative to the waist circumference measurement in screening for central obesity.

scholarly journals Correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in a hospital from northern Peru: a cross-sectional study

2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Abdominal Circumference ◽  
Homogeneous Distribution ◽  
Sectional Study ◽  
Cross Sectional ◽  
Anthropometric Parameter

Abstract Background We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. Methods This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Results Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. Conclusions In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

scholarly journals The Association between Sleep Duration and Metabolic Syndrome: The NHANES 2013/2014

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2582 ◽  
Author(s):  
Abbas Smiley ◽  
David King ◽  
Aurelian Bidulescu
Keyword(s):  
Metabolic Syndrome ◽  
Sleep Duration ◽  
Severity Score ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Sitting Time ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Actual Measurement ◽  
Health And Nutrition

Background: We aimed to assess the association of sleep with metabolic syndrome in the 2013/2014 National Health and Nutrition Examination Survey (NHANES). Methods: Sample size included 2737 out of 2013 and 2014 NHANES surveys. Cross-sectional study of metabolic syndrome and sleep duration was conducted. Metabolic syndrome was defined according to NCEP ATPIII (National Cholesterol Education Program Adult Treatment Panel III) criteria. Metabolic syndrome severity score was calculated based on actual measurement of each component, adjusted for sex and race. The generalized additive model (GAM) was built to assess the smooth relationship between metabolic syndrome/metabolic syndrome severity score and sleep duration. Adjustment of models were done for age, sex, race, and sitting time. The value of effective degree of freedom (EDF) formed by the GAM model shows the degree of curvature of the relationship. A value of 1 for EDF is translated as the linear shape of relationship. Values larger than one denote a more complex relationship between the response variable and the predicting one. Results: There was a U-shaped association between sleep duration and metabolic syndrome in univariable GAM (EDF = 2.43, p = 0.06) and multivariable GAM (EDF = 2.03, p = 0.20). The lowest risk of metabolic syndrome was observed in people sleeping 7 hours/night. There was a significant U-shaped association between sleep duration and metabolic syndrome severity score in multivariable GAM (EDF = 2.94, p = 0.0004). Similarly, the lowest mean metabolic syndrome severity score was observed in people sleeping 7 hours/night. There was an effect modification of sex and sleep duration indicating strong U-shaped relationship of metabolic syndrome severity score and sleep duration in women (EDF = 3.43, p = 0.00002) and semi-linear association in men (EDF = 1.76, p = 0.04). Conclusion: Short and long sleep duration was associated with higher risk of metabolic syndrome and higher scores of metabolic syndrome severity score in women. Short sleep duration was associated with higher risk of metabolic syndrome and higher scores of metabolic syndrome severity score in men.

scholarly journals Negative Association between Acrylamide Exposure and Metabolic Syndrome Markers in Adult Population

2021 ◽  
Vol 18 (22) ◽  
pp. 11949
Author(s):  
Chun-Chi Hung ◽  
Yung-Wen Cheng ◽  
Wei-Liang Chen ◽  
Wen-Hui Fang
Keyword(s):  
Metabolic Syndrome ◽  
Animal Studies ◽  
Adult Population ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Environmental Chemicals ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
High Fasting Plasma Glucose ◽  
Adjusted Model

Metabolic syndrome encompasses multiple conditions that increase the risk of cardiovascular disease, and exposure to environmental chemicals can cause metabolic syndrome. This cross-sectional study analyzed data from the US National Health and Nutrition Examination Survey (2003–2006) on 4318 adult participants to assess the association between acrylamide (AA) exposure and metabolic syndrome. Concentrations of hemoglobin-adducted AA (HbAA) and hemoglobin-adducted glycidamide (HbGA) were evaluated. Metabolic syndrome markers related to HbAA and HbGA and the effect of exposure to AA and GA on the prevalence of metabolic syndrome were studied by ANOVA and multivariate logistic regression analyses, respectively. HbAA concentration inversely correlated with the number of metabolic syndrome markers (p < 0.05). An increased HbAA concentration was noted with reduced high triglyceride and low high-density lipoprotein cholesterol levels in the adjusted model (p < 0.05). High fasting plasma glucose level significantly correlated with HbGA concentration in the adjusted model. In conclusion, AA exposure alters metabolic syndrome markers in adults. Additional clinical and animal studies will clarify the role of AA exposure at different stages in the progression of metabolic syndrome-related diseases.

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

2020 ◽  
Vol 14 (3) ◽  
pp. 265-273 ◽  
Author(s):  
Issarayus Laohabut ◽  
Kamol Udol ◽  
Pochamana Phisalprapa ◽  
Weerachai Srivanichakorn ◽  
Thanet Chaisathaphol ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Metabolic syndrome and lung function in Korean children and adolescents: A cross-sectional study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Minji Kim ◽  
Seoheui Choi ◽  
Soo-Han Choi ◽  
Seon-Hee Shin ◽  
Sung Koo Kim ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Lung Function ◽  
Children And Adolescents ◽  
Fasting Glucose ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Korean Children ◽  
Health And Nutrition ◽  
Significant Difference

Abstract This study aimed to investigate whether obesity and metabolic syndrome (MetS) are associated with pulmonary function in Korean children and adolescents. Data from the 2009–2011 Korea National Health and Nutrition Examination Survey which is cross-sectional, nationwide, and representative survey were used. Adjusted regression analysis was performed to evaluate the association of obesity and MetS with lung function in children and adolescents. A total of 763 children and adolescents aged 10–18 years were evaluated. We found no significant difference in FEV1% predicted, FVC% predicted, and FEV1/FVC ratio among the obesity groups. Subjects with MetS showed a significantly lower FEV1 predicted (91.54 ± 0.74% vs 94.64 ± 0.73%, P = 0.004), lower FVC% predicted (91.86 ± 0.63% vs 95.20 ± 0.63%, P < 0.001), and lower FEV1/FVC ratio (76.76 ± 0.43% vs 80.13 ± 0.43%, P < 0.001) than those without MetS. Elevated waist circumference (WC), systolic blood pressure, fasting glucose, and lower high-density lipoprotein cholesterol (HDL-C) were independently associated with lower FEV1/FVC ratio (all P < 0.05, respectively). Among MetS components, increased WC was the most important factor influencing lower FEV1/FVC ratio. In conclusion, lung function in MetS patients was significantly lower, and the MetS component was independently associated.

scholarly journals The Study of Relationship between Breastfeeding and Metabolic Syndrome and its Components in Premenopausal Parous Women: From the Korean National Health and Nutrition Examination Survey, 2010-2016

2020 ◽  
Vol 24 (3) ◽  
pp. 154-161
Author(s):  
Minji Kim ◽  
Jusuk Lee ◽  
Taehong Kim
Keyword(s):  
Metabolic Syndrome ◽  
National Health ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
The Metabolic Syndrome ◽  
Nationally Representative

Purpose: Here we aimed to examine the association of breastfeeding (BF) with the metabolic syndrome (Mets) and its components among premenopausal parous Korean women.Methods: We conducted a cross-sectional study on 7,116 Korean women by using nationally representative data from the Korea National Health and Nutrition Examination Survey, between 2010 and 2016. Multivariate logistic regression analysis was performed for examining the association of BF with Mets and its components.Results: A total 7,116 women were selected for this study. Mets was present in 12.9% of the study participants. The prevalence of Mets in the BF group (12.38%) was lower than that of the non-BF group (14.69 %) (p<0.05). The prevalence of hypertension and hypertriglyceridemia was significantly higher in the non-BF group compared to that of the BF group. For each of Mets components, the total cholestrol level and systolic blood pressure were significantly higher in the non-BF group, compared to those of the BF group (p<0.05). The BF group was associated with a decreased risk of Mets (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.68–0.99). and lower risks of hypo-high-density lipoprotein-cholesterolemia (OR, 0.78; 95% CI, 0.62–0.68), compared to those of the non-BF group.Conclusion: BF is an important factor in reducing the risks of Mets. These results provide fundamental evidence for the establishment of policies for promoting BF.

scholarly journals Correlation of Neck Circumference With Abdominal Circumference and Body Mass Index in Patients With Metabolic Syndrome in a Hospital From Northern Peru: A Cross-sectional Study

2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Abdominal Circumference ◽  
Homogeneous Distribution ◽  
Sectional Study ◽  
Cross Sectional ◽  
Anthropometric Parameter

Abstract We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

scholarly journals Neck circumference as marker of overweight and obesity among secondary adolescents aged 12-19 years in southwestern Uganda: a cross-sectional survey

2021 ◽  
Author(s):  
Godfrey Katamba ◽  
David Collins Agaba ◽  
Francis Muzaale ◽  
Agnes Namaganda ◽  
Rosemary Namayanja ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Neck Circumference ◽  
Female Adolescents ◽  
Roc Curve Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract Background Overweight and obesity have become more common among adolescents. Various indicators have been used to assess this burden across populations. Recent findings elsewhere have found neck circumference to be useful in defining overweight and obesity. However, the use of neck circumference as marker of overweight and obesity needs to be further explored among adolescents in Uganda. Objective To assess the usefulness of neck circumference as a marker of overweight and obesity. Methods A cross sectional study was conducted among secondary adolescents aged 12–19 years from May to August in 2018, Height was measured using a wall mount height board and weight using a standard weighing scale. Neck circumference was measured using an inelastic measuring tape. We defined overweight as BMI = 25.0-29.9kg/m2 while obesity as BMI ≥ 30.0kg/m2 among the study participants. Pearson correlation coefficient was used to determine the correlation between neck circumference, height, weight and body mass index. Receiver operating characteristic (ROC) curve analysis was used to determine the suitable cutoff of neck circumference for overweight and obesity. Results We enrolled 616 adolescents aged 12–19 years, with mean age of 15.6 ± 2.0 years. Most (65.6%) were female. The overall prevalence of overweight was 30.5% while that of obesity was 3.4%. Neck circumference was significantly correlated with height (r = 0.561, P < 0.001), weight (r = 0.547, P < 0.001) and body mass index (r = 0.193, P < 0.001). The best cutoff of neck circumference to identify participants with obesity were ≥ 31.0 cm with AUC of 0.83[0.73–0.94] and ≥ 32.0cm with an AUC of 0.59[0.11-1.00] among the females and males respectively. Conclusion Neck circumference was useful in defining and hence classifying for overweight or obesity among the female adolescents in our study population. It could useful for screening for overweight and obesity among the female adolescents.

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