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 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 Association between demographics, socioeconomic status and metabolic syndrome in American adults: a cross-sectional study

2019 ◽  
Author(s):  
Yang Liu ◽  
Liyan Jiang ◽  
Mengru Zeng
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Family Income ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Race Ethnicity

Abstract Background Evidence regarding the association between demographics, socioeconomic status and metabolic syndrome is limited. We aim to investigate whether demographics and socioeconomic status are correlated with metabolic syndrome using data from National Health and Nutrition Examination Survey through 2013/2014 to 2015/2016.Methods A total of 4313 selected participants were included in this cross-sectional study. The independent variables were demographics (age, gender,and race/ethnicity) and socioeconomic status (the ratio of family income to poverty). The dependent variable was metabolic syndrome. The covariates included data release cycle, education level, marital status, dietary data, health insurance, average alcoholic drinks, current smoking, sedentary activity hours, physical activity minutes, and body mass index. Logistic regression analysis was used to evaluate the association between demographics, socioeconomic status and metabolic syndrome.Results In fully-adjusted models, we found that age was positively associated with metabolic syndrome (OR:1.05, 95%CI:1.04-1.05); compared with the male group, female was positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR:1.84, 95%CI:1.07-3.18) whereas it was negatively associated with metabolic syndrome in those with body mass index equal to or greater than 30 kg/m 2 (OR:0.62, 95%CI:0.48-0.81); compared with Mexican American, non-Hispanic Asian and other race/ethnicity were positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR: 7.30, 95%CI: 1.50-35.62 and OR: 6.09, 95%CI: 1.25-29.74, respectively) while non-Hispanic Black was negatively associated with metabolic syndrome in participants with body mass index equal to or greater than 25 kg/m 2 and less than 30 kg/m 2 (OR:0.58, 95%CI:0.36-0.92); there was no significant association between the ratio of family income to poverty and metabolic syndrome.Conclusions Among the population of nationally representative non-pregnant American adults, there is a correlation between demographics and metabolic syndrome whereas no correlation between socioeconomic status and metabolic syndrome after multivariates adjustment. Healthcare interventions targeting those with metabolic syndrome including older individuals, obese males, along with females, non-Hispanic Asian and other race/ethnicity with BMI under 25 kg/m 2 are required to address these disparities.

scholarly journals Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257306
Author(s):  
Solomon Mekonnen Abebe ◽  
Abayneh Girma Demisse ◽  
Shitaye Alemu ◽  
Bewketu Abebe ◽  
Nebiyu Mesfin
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Northwest Ethiopia ◽  
Kappa Statistics ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Awareness Campaigns

Background Metabolic syndrome (MetS) is becoming a major public health problem globally; it is clear that the burden of MetS is rapidly increasing the rates of non-communicable diseases (NCD). In Ethiopia studies done so far have shown a large disparity in magnitude of the prevalence of MetS and were mainly institution-based studies. Therefore, this study assess the prevalence of MetS among adults who are residing in Gondar city using Adult Treatment Panel III (ATP III) and the International Diabetes Federation (IDF) assessment tool. The findings are imperative to developing and strengthening national NCD prevention and control programs. Methods This study was conducted in Gondar city Northwest Ethiopia in 2018. It employs a community-based cross-sectional study design among 3,227 individuals 18 years of age or older. Data was collected using the WHO stepwise tool, lipid profile, blood pressure (BP), waist circumference (WC) body mass index (BMI), fasting blood glucose levels (FG), and anthropometric measurements. The prevalence estimation was made along with a 95% confidence interval (CI). The Kappa statistic was used to analyze the statistical agreement between ATP III and IDF definitions of the MetS. Stratified analysis was also performed for description and analysis components using ATP III and IDF as an outcome. Result Of the total study participants (3227), 3059 (94.8%) were included in the final analysis and 52.5% were female. The mean (±SD) age of the study participant was 40.8 years (16.2 ±SD). The overall prevalence of MetS using ATP III was 11.2% [95%CI: 10.1, 12.3] and using IDF was 11.9% [95%CI: 10.8, 13.2]. The sex-specific proportion was high in females rather than males irrespective of the criteria. The overall level of agreement between ATP III and IDF prevalence was 91.7% and the Kappa statistics was 0.594. Older age, low-density lipoprotein cholesterol, body mass index, being female, born in an urban area, consumption of an alcoholic drink in the preceding 30 days, and non-fasting practice was significantly associated with MetS. Conclusion and recommendation There was a higher prevalence of metabolic syndrome among females than males irrespective of metabolic syndrome diagnostic criteria. This also shows good agreement between ATP III and IDF. Being female, urban birthplace, frequent alcohol consumption in the last 30 days, and non-fasting practice are factors associated with higher rates of metabolic syndrome. Hence, awareness campaigns, physical exercise, and nutrition education intervention should be undertaken to promote health behavioral practice.

scholarly journals CORRELATION OF LIPID PROFILE & BODY MASS INDEX (BMI) OF PATIENTS AT A TERTIARY CARE HOSPITAL: A CROSS SECTIONAL STUDY

2019 ◽  
Vol 3 (8) ◽  
Author(s):  
Shorya Taliyan ◽  
Sandeep Kumar Yadav ◽  
Bharat Kumar Gupta
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Lipid Profile ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Group 2 ◽  
Group 1

Background: Sedentary daily life have an impact on the prevalence and incidence of metabolic syndrome disorder and results in development of type 2 diabetes mellitus, Dyslipidemia and metabolic disorders that aggravate the risk in the development of cardiovascular diseases (CVD). Methods: In our study Data of 92 males and 112 females, from the age group of 25 to 55 years were selected from December 2018 to July 2019 in a cross sectional manner. Blood sample (3 ml) was collected from each subject. Serum was separated by centrifuging blood at 3000 rpm for 10 min and analyzed for lipid profile by Siemens Dimension RXL max, wet chemistry analyzer. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. Results: In our hospital based study we estimated the lipid profile in individuals categorized into two groups. (Group 1 BMI <25) and (Group 2 BMI ≥25), we found the values of  Triglycerides, LDL and VLDL in Group 1 are lower as compared to Group 2 values for same analytes. Conclusion: Our study found positive correlation between lipid profile and obesity. Results of this cross sectional study again prove that, Obesity predisposes individuals to metabolic syndrome associated ailments. Keywords: BMI, Lipid Profile, Metabolic Syndrome, Obesity, Dyslipidemia

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