Obesity: knowledge, care, and commitment, but not yet cure

Geloneze, Bruno; Mancini, Márcio C.; Coutinho, Walmir

doi:10.1590/s0004-27302009000200001

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…It is too early to tell whether weight-loss campaigns have had an effect, but we do know that while surgical efforts have shown promise in reversing diabetes and other medical consequences of obesity, they have not increased longevity [7]. So, while prevention efforts and medical treatments have helped, but not reversed the obesity problem, clearly, there remains no cure for obesity [8]. …”

Section: Introductionmentioning

confidence: 99%

Further developments in the neurobiology of food and addiction: Update on the state of the science

et al. 2012

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Over the past three decades obesity has become a major public health crisis in the United States. The prevalence of obesity in the United States and in other parts of the World has led to the new word, globesity, now being used to describe the problem. As a result of this increased emphasis on understanding the causes and consequences of obesity, novel theories have stimulated new research aimed to prevent, intervene with, and ameliorate the effects and reduce the incidence and medical consequences of globesity. One theory that has gained popularity in recent years, which we described and analyzed in our previous paper Neurobiology of Food Addiction, is based on the idea that excessive intake of highly-palatable foods shares similarities with the effects on brain and behavior that are seen with some drugs of abuse. While this theory is not new, empirically-based translational research has only recently provided strong support for this hypothesis. In this article, we review the present state of the science in this area and describe a variety of newer clinical and preclinical works that shed light on innovative and interesting overlaps between excessive palatable food intake and drug use.

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Section: Introductionmentioning

confidence: 99%

Further developments in the neurobiology of food and addiction: Update on the state of the science

et al. 2012

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“…Recently, obesity and related diseases (comorbidities), including diabetes mellitus , hypertension, coronary artery disease, cancer, sleep apnea, and osteoartrosis, have replaced tobacco use as a leading cause of death, where obesity contributes directly to the severity of the comorbities [12-15]. …”

Section: Introductionmentioning

confidence: 99%

Fuzzy obesity index (MAFOI) for obesity evaluation and bariatric surgery indication

2011

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BackgroundThe Miyahira-Araujo Fuzzy Obesity Index (MAFOI) for being used as an alternative in bariatric surgery indication (BSI) is validated in this paper. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. Body mass index (BMI) is considered the main criteria for obesity treatment and BSI. Nevertheless, the fat excess related to the percentage of Body Fat (%BF) is actually the principal harmful factor in obesity disease that is usually neglected. The aim of this research is to validate a previous fuzzy mechanism by associating BMI with %BF that yields the Miyahira-Araujo Fuzzy Obesity Index (MAFOI) for obesity evaluation, classification, analysis, treatment, as well for better indication of surgical treatment.MethodsSeventy-two patients were evaluated for both BMI and %BF. The BMI and %BF classes are aggregated yielding a new index (MAFOI). The input linguistic variables are the BMI and %BF, and the output linguistic variable is employed an obesity classification with entirely new types of obesity in the fuzzy context, being used for BSI, as well.ResultsThere is gradual and smooth obesity classification and BSI criteria when using the Miyahira-Araujo Fuzzy Obesity Index (MAFOI), mainly if compared to BMI or %BF alone for dealing with obesity assessment, analysis, and treatment.ConclusionThe resulting fuzzy decision support system (MAFOI) becomes a feasible alternative for obesity classification and bariatric surgery indication.

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“…Recently, obesity and related diseases (comorbidities), including diabetes mellitus, hypertension, coronary artery disease, cancer, sleep apnea, and osteoartrosis, have replaced tobacco use as a leading cause of death, where obesity contributes directly to the severity of the comorbities [12][13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic as a decision-making support system for the indication of bariatric surgery based on an index (MAFOI) generated by the association between body fat and body mass index.

Miyahira¹,

Azevedo²,

Filho³

2011

Nature Precedings

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Background: A Fuzzy Obesity Index (OBESINDEX) for being used as an alternative in bariatric surgery indication (BSI) is presented. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. BMI (body mass index) is considered the main criteria for obesity treatment and BSI. Nevertheless, the fat excess related to the percentage of Body Fat (%BF) is actually the principal harmful factor in obesity disease that is usually neglected. This paper presents a new fuzzy mechanism for evaluating obesity by associating BMI with %BF that yields a fuzzy obesity index for obesity evaluation and treatment and allows building up a Fuzzy Decision Support System (FDSS) for BSI. Methods: Seventy-two patients were evaluated for both BMI and %BF. These data are modified and treated as fuzzy sets. Afterwards, the BMI and %BF classes are aggregated yielding a new index (OBESINDEX) for input linguistic variable are considered the BMI and %BF, and as output linguistic variable is employed the OBESINDEX, an obesity classification with entirely new classes of obesity in the fuzzy context as well as is used for BSI. Results: There is gradual, smooth obesity classification and BSI when using the proposed fuzzy obesity index when compared with other traditional methods for dealing with obesity.Conclusion: The BMI is not adequate for surgical indication in all the conditions and that the fuzzy logic becomes an alternative for decision making in bariatric surgery indication based on the OBESINDEX.

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Obesity: knowledge, care, and commitment, but not yet cure

Cited by 6 publications

References 5 publications

Further developments in the neurobiology of food and addiction: Update on the state of the science

Further developments in the neurobiology of food and addiction: Update on the state of the science

Fuzzy obesity index (MAFOI) for obesity evaluation and bariatric surgery indication

Fuzzy logic as a decision-making support system for the indication of bariatric surgery based on an index (MAFOI) generated by the association between body fat and body mass index.

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