Fuzzy Obesity Index for Evaluating Obesity and Bariatric Surgery Indication
Author Information
Author(s): Miyahira Susana Abe, João Luiz Moreira Coutinho, Ernesto Araújo
Primary Institution: Universidade Federal de São Paulo (UNIFESP)
Hypothesis
The study aims to validate the Miyahira-Araujo Fuzzy Obesity Index (MAFOI) as a more accurate method for evaluating obesity and indicating bariatric surgery.
Conclusion
The MAFOI is a feasible alternative for classifying obesity and indicating bariatric surgery.
Supporting Evidence
- The MAFOI showed a higher percentage of obesity classification compared to BMI alone.
- Correlation between BMI and MAFOI was strong for both genders.
- The study included a diverse sample of patients from different demographics.
Takeaway
This study created a new way to measure obesity that combines two methods, making it easier to decide if someone needs surgery to lose weight.
Methodology
The study evaluated 72 patients using both BMI and body fat percentage to create the MAFOI.
Potential Biases
The study's reliance on self-reported data and the exclusion of certain patient groups may introduce bias.
Limitations
The MAFOI may not accurately reflect the obesity classification for men and could be influenced by the chosen membership functions.
Participant Demographics
Among the 72 patients, 42 were female and 30 were male, with a mean age of 39.5 years for women and 43.5 years for men.
Statistical Information
P-Value
<0.001
Confidence Interval
95%
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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