Sensitivity and Specificity of the Body Mass Index to Determine Obesity: A Study with Brazilian Men and Women

2004 ◽  
Vol 3 (2) ◽  
pp. 71-75
Author(s):  
Paulo Roberto dos Santos Amorim ◽  
Sidney Cavalcante da Silva ◽  
Estélio Henrique Martin Dantas ◽  
José Fernandes Filho
2013 ◽  
Vol 28 (suppl 4) ◽  
pp. iv130-iv135 ◽  
Author(s):  
E. Cohen ◽  
A. Fraser ◽  
E. Goldberg ◽  
G. Milo ◽  
M. Garty ◽  
...  

1988 ◽  
Vol 77 (2) ◽  
pp. 169-173 ◽  
Author(s):  
W. D. Ross ◽  
S. M. Crawford ◽  
D. A. Kerr ◽  
R. Ward ◽  
D. A. Bailey ◽  
...  

2002 ◽  
Vol 91 (2) ◽  
pp. 627-640 ◽  
Author(s):  
Christine V. Glenn ◽  
Peter Chow

A new scale for examining attitudes toward obese people had 44 items selected from previously published scales designed to indicate attitudes toward obese people. Reliability analysis yielded a Cronbach coefficient alpha of .92 for the total sample. A factor analysis yielded four factors. Employing the Body Mass Index as an indicator of obesity, the attitudes of 239 men and women were examined. Women were significantly more positive than men in their attitude toward obese people. When examining Body Mass Index as a factor, comparisons of obese and nonobese women indicated obese women were more positive on the Diet and Exercise factor of the scale. Suggestions for improvement and research are offered.


2010 ◽  
Vol 26 (8) ◽  
pp. 1519-1527 ◽  
Author(s):  
Francisco de Assis Guedes de Vasconcelos ◽  
Braian Alves Cordeiro ◽  
Cassiano Ricardo Rech ◽  
Edio Luiz Petroski

The aim of this article was to verify the sensitivity and specificity of the body mass index (BMI) cut-off points proposed by the World Health Organization (WHO) and the Nutrition Screening Initiative (NSI) for the diagnosis of obesity in the elderly. A cross-sectional study was made with 180 healthy elderly subjects from Florianópolis, Santa Catarina State, Brazil. Body fat percentage (%BF) was determined using DEXA (dual energy X-ray absorptiometry). The BMI cut-off point of the NSI offers better sensitivity and specificity for men (73.7% and 72.5% respectively). For women, the lower the cut-off point the better the sensitivity, with a BMI of 25kg/m² (sensitivity of 76.3% and specificity of 100%) being the most accurate for diagnosing obesity in elderly women. The WHO cut-off point offered very low sensitivity (28.9%). The results of this investigation lead to the conclusion that the cut-off points proposed by the WHO and the ones adopted by the NSI and by Lipschitz are not good indicators of obesity for the elderly of either sex, since they offer low sensitivity.


Bone ◽  
2008 ◽  
Vol 43 ◽  
pp. S125
Author(s):  
Aijun Chao ◽  
Shan Zhu ◽  
Wei Hu ◽  
Zhiming Sun ◽  
Li Wang

Author(s):  
Agnes Gartner ◽  
Bernard Maire ◽  
Pierre Traissac ◽  
Jean-Pierre Massamba ◽  
Yves Kameli ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 64-64
Author(s):  
Murugesan Manoharan ◽  
Martha A. Reyes ◽  
Alan M. Nieder ◽  
Bruce R. Kava ◽  
MarkS Soloway

Author(s):  
K. Subramanyam ◽  
Dr. P. Subhash Babu

Obesity has become one of the major health issues in India. WHO defines obesity as “A condition with excessive fat accumulation in the body to the extent that the health and wellbeing are adversely affected”. Obesity results from a complex interaction of genetic, behavioral, environmental and socioeconomic factors causing an imbalance in energy production and expenditure. Peak expiratory flow rate is the maximum rate of airflow that can be generated during forced expiratory manoeuvre starting from total lung capacity. The simplicity of the method is its main advantage. It is measured by using a standard Wright Peak Flow Meter or mini Wright Meter. The aim of the study is to see the effect of body mass index on Peak Expiratory Flow Rate values in young adults. The place of a study was done tertiary health care centre, in India for the period of 6 months. Study was performed on 80 subjects age group 20 -30 years, categorised as normal weight BMI =18.5 -24.99 kg/m2 and overweight BMI =25-29.99 kg/m2. There were 40 normal weight BMI (Group A) and 40 over weight BMI (Group B). BMI affects PEFR. Increase in BMI decreases PEFR. Early identification of risk individuals prior to the onset of disease is imperative in our developing country. Keywords: BMI, PEFR.


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