Body Mass Index an Important Anthropometric Parameter to Predict Health-Risk in Adult Population of Bastar Region of Chhattisgarh: A cross sectional study at GMC Jagdalpur

2016 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Mohammad Mujahid Ansari ◽  
M. Ashraf Khan ◽  
R. K. Zargar
2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  

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.


2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  

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.


2013 ◽  
Vol 44 (10) ◽  
pp. 2231-2240 ◽  
Author(s):  
Z. Ul-Haq ◽  
D. F. Mackay ◽  
E. Fenwick ◽  
J. P. Pell

BackgroundThe evidence is conflicting as to whether body mass index (BMI) is associated with mental health and, if so, to what extent it varies by sex and age. We studied mental health across the full spectrum of BMI among the general population, and conducted subgroup analyses by sex and age.MethodWe undertook a cross-sectional study of a representative sample of the Scottish adult population. The Scottish Health Survey provided data on mental health, measured by the General Health Questionnaire-12 (GHQ), BMI, demographic and life-style information. Good mental health was defined as a GHQ score <4, and poor mental health as a GHQ score ⩾4. Logistic regression models were applied.ResultsOf the 37 272 participants, 5739 (15.4%) had poor mental health. Overall, overweight participants had better mental health than the normal-weight group [adjusted odds ratio (OR) 0.93, 95% confidence interval (CI) 0.87–0.99, p = 0.049], and individuals who were underweight, class II or class III obese had poorer mental health (class III obese group: adjusted OR 1.26, 95% CI 1.05–1.51, p = 0.013). There were significant interactions of BMI with sex (p = 0.013) and with age (p < 0.001). Being overweight was associated with significantly better mental health in middle-aged men only. In contrast, being underweight at all ages or obese at a young age was associated with significantly poorer mental health in women only.ConclusionsThe adverse associations between adiposity and mental health are specific to women. Underweight women and young women who are obese have poorer mental health. In contrast, middle-aged overweight men have better mental health.


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