Clinical Use of the Edmonton Obesity Staging System for the Assessment of Weight Management Outcomes in People with Class 3 Obesity

Kodsi, Raymond; Medveczky, David; Grudzinskas, Kathy; Atlantis, Evan; Tahrani, Abd A.; Kormas, Nic; Piya, Milan K.

doi:10.3390/nu14050967

Cited by 1 publication

(1 citation statement)

References 47 publications

(65 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It categorizes obesity into 5 stages (stage 0–4), stage 0 indicates no obesity-related risk factors or any health impairments; and stage 4 indicates severe disabilities from obesity-related chronic diseases. [46] The risk of chronic diseases such as T2DM, coronary heart disease, and stroke rises exponentially with BMI units, [47] the WHO recognizes that these reported dangers occur at lower BMI cutoff lines for overweight and obesity in certain Asian communities. [14] We suggest adding EOSS to the anthropometric classification in Indonesia since EOSS could be a useful method in stratifying the presence and severity of weight-related health concerns and has been deemed to be a better predictor of mortality than BMI.…”

Section: Diagnosis and Clinical Evaluationmentioning

confidence: 99%

The urgency in proposing the optimal obesity cutoff value in Indonesian population: A narrative review

et al. 2022

View full text Add to dashboard Buy / Rent full text

In developing nations such as Indonesia, obesity and central obesity have emerged as major public health issues. Many studies have revealed that morbidity and death from obesity-related diseases are already significant in some “Asian” communities at low body mass index (BMI) levels. A recent study showed that the obesity prevalence in Indonesia is underestimated when using the current BMI cutoff (obese ≥ 27.0). Indonesia faced an increase in obesity-related chronic diseases despite having a lower obesity prevalence than developed countries, which may be explained by the underestimation of obesity levels in Indonesia. This creates a huge global health problem, as well as an economic burden. Another recent study on the Indonesian population depicted the new proposed cutoff of waist circumference (WC), which is lower than the World Health Organization (WHO) standard for detecting the early detection of type 2 diabetes mellitus (T2DM), one of the comorbidities and a strong correlation with obesity. An analysis of 58 studies in 2021 that included Indonesian adult subjects revealed enormous differences and ambiguities in defining obesity cutoffs values among Indonesian researchers. Additionally, we advocate adding the Edmonton Obesity Staging System (EOSS) staging to the anthropometric classification for a better clinical evaluation of obesity. Considering the urgency of obesity determination in Indonesia for clinical application and study purposes, this review highlights the need to revise the optimal cutoff value for obesity to warrant early prevention and control of diabetes complications.

show abstract

Section: Diagnosis and Clinical Evaluationmentioning

confidence: 99%