Value of Body Mass Index in the Diagnosis of Obesity According to DEXA in Well-controlled RA Patients

Tello-Winniczuk, Nina; Vega‐Morales, David; García-Hernández, Pedro Alberto; Esquivel‐Valerio, Jorge Antonio; Garza‐Elizondo, Mario Alberto; Arana-Guajardo, Ana Cecilia

doi:10.1016/j.reumae.2016.02.006

Cited by 4 publications

(6 citation statements)

References 14 publications

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“…Studies using CT or MRI applied a cut-off of ≥ 100 cm 2 or ≥ 130 cm 2 of visceral adipose tissue area to provide reference data for both women and men. Fourteen studies were community-based 44 , 46 , 51 , 58 , 62 – 64 , 66 – 68 , 70 , 73 , 75 , 76 , 78 , fourteen were primary care– or hospital-based 45 , 47 , 49 , 50 , 52 – 54 , 57 , 59 – 61 , 69 , 72 , 74 , 77 , two were community- and hospital-based 43 , 48 , 55 , 56 , one study was based in the army 65 and one did not report its setting 71 . Six studies included patients with various diseases or physical or cognitive disabilities 50 , 52 – 54 , 59 , 61 , 66 , 74 .…”

Section: Resultsmentioning

confidence: 99%

“…Of the included studies, we rated the risk of bias for six as low 52 , 53 , 58 , 60 , 63 , 67 , 70 , for 16 as unclear 43 – 47 , 54 – 57 , 59 , 62 , 65 , 66 , 69 , 71 , 73 – 75 , 77 and for ten as high 48 – 51 , 61 , 64 , 68 , 72 , 76 , 78 . The reasons for the high risk of bias ratings included convenience sampling, inappropriate exclusion criteria for study participants and lack of predefined thresholds for index and reference tests.…”

Section: Resultsmentioning

confidence: 99%

“…The reasons for the high risk of bias ratings included convenience sampling, inappropriate exclusion criteria for study participants and lack of predefined thresholds for index and reference tests. Eleven studies were conducted in Asia 44 , 46 , 47 , 49 , 51 , 60 , 63 , 68 , 70 , 71 , 75 , 78 , ten studies in North America 50 , 52 – 54 , 58 , 65 , 66 , 72 – 74 , 77 , eight in South America 43 , 45 , 55 – 57 , 59 , 61 , 62 , 67 , 69 and three 48 , 64 , 76 in Europe. Twenty-two studies were publicly funded, eight studies did not report their funding 48 , 49 , 64 , 65 , 68 , 69 , 71 , 76 and two received sponsoring from pharmaceutical companies 57 , 61 .…”

Section: Resultsmentioning

confidence: 99%

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The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis

Sommer

Teufer

Szelag

et al. 2020

Sci Rep

102

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the aim of this systematic review was to assess the performance of anthropometric tools to determine obesity in the general population (CRD42018086888). Our review included 32 studies. To detect obesity with body mass index (BMI), the meta-analyses rendered a sensitivity of 51.4% (95% CI 38.5-64.2%) and a specificity of 95.4% (95% CI 90.7-97.8%) in women, and 49.6% (95% CI 34.8-64.5%) and 97.3% (95% CI 92.1-99.1%), respectively, in men. For waist circumference (WC), the summary estimates for the sensitivity were 62.4% (95% CI 49.2-73.9%) and 88.1% for the specificity (95% CI 77.0-94.2%) in men, and 57.0% (95% CI 32.2-79.0%) and 94.8% (95% CI 85.8-98.2%), respectively, in women. The data were insufficient to pool the results for waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) but were similar to BMI and WC. In conclusion, BMI and WC have serious limitations for use as obesity screening tools in clinical practice despite their widespread use. No evidence supports that WHR and WHtR are more suitable than BMI or WC to assess body fat. However, due to the lack of more accurate and feasible alternatives, BMI and WC might still have a role as initial tools for assessing individuals for excess adiposity until new evidence emerges. Obesity is widely recognised as a pandemic public health problem. According to the World Health Organization (WHO), in 2016 more than 650 million adults worldwide were obese 1. These numbers have almost tripled since 1975 2. Obesity increases the risk for many chronic diseases, such as diabetes mellitus, cardiovascular diseases and cancers 3 , and is possibly associated with mental health disorders 4. Associations have been shown to be strongest between obesity and the incidence of diabetes mellitus, particularly in women (risk ratio [RR] 12.41, 95% confidence interval [CI] 9.03-17.06). Primary care is considered one of the main settings for the prevention, screening and management of obesity 5. Individual studies indicate that patients are more likely to lose weight when they receive recommendations for lifestyle changes from their primary care physicians 6. Because it can be difficult for physicians to accurately determine obesity solely through visually inspecting their patients 7 , they need a reliable, efficient screening tool in order to ensure that those who need management and treatment receive it. WHO conceptualises obesity as "abnormal or excessive fat accumulation that may impair health" 1. It is most commonly assessed using body mass index (BMI), a simple and quick anthropometric tool that has a low cost. Adults with a BMI greater than or equal to 30 are classified as being obese 1 (Table 1). However, several researchers and professional associations 8-14 consider the use of BMI as the primary clinical index of obesity insufficient. They have called for a new definition that fully accounts for the complexity of the disease relating to the quantity, distribution and secretory function of adipose tissue. A substantial body of evidence has shown that obesity (BMI ≥ 30) is ass...

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis

Sommer

Teufer

Szelag

et al. 2020

Sci Rep

102

View full text Add to dashboard Cite

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“…RA patients are more than 60% more likely to have a BMI (body mass index) that is higher than the average (above 25 kg/m2). (14).…”

Section: Resultsmentioning

confidence: 99%

Study of Nepheroblastoma Overexpressed Protein (NOV/CCN3) as a Biomarker in Serum of Iraqi Patients with Rheumatoid Arthritis

Hamid¹,

Hassan²,

Hafidh³

et al. 2022

PJMHS

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Rheumatoid arthritis (RA) is a systemic autoimmune condition that is chronic, inflammatory, and can affect any joint in the body. Rheumatoid arthritis is defined by symmetric inflammation of synovial joints, which can eventually lead to the erosion of cartilage and bone. The objective of this study was to measure CCN3, CRP, I.R, Insulin .F.G, and Lipid profiles in patients with Rheumatoid arthritis. The current study comprised a total of 120 participants, who were separated into two groups. Group1 contained 70 Rheumatoid arthritis patients, and group2 controls 50; the samples were extracted from women and man, the levels of CCN3, CRP, I.R .F.G, Insulin, Cholesterol, TG, VLDL, LDL, and HDL were evaluated. The levels of PTX3 and Insulin were determined using an enzyme-linked immunosorbent assay (ELISA), and the stories of F.G, Cholesterol, TG, CRP, VLDL, LDL, and HDL, were assayed using a spectrophotometer. The result of CCN3 shows a high significant change among two groups' patients RA and control. Systole, Diastole, and LDL values have non-significant change in their levels in RA patients. Triglyceride, Cholesterol, HDL, VLDL, CRP, Insulin, F.G, and I.R values have a significant change in their levels in patients RA. Conclusion: According to the presented results CCN3, CRP, I.R .F.G, Insulin, T.G, Cholesterol, VLDL, and HDL all have an effect on RA patients. RA patients are not affected by their systole, diastole, or LDL levels.

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“…Few studies have established clear cut-off points for defining obesity by DXA in children and adolescents. Tello-Winniczuk et al [26] and Velázquez-Alba et al [27] propose diagnosing obesity starting from a total fat percentage of 35%; however, these studies were carried out in adults. William et al [3] in 1992 had already shown that a body fat percentage higher than 25% in boys and 30% in girls was a risk factor for cardiovascular disease (p < 0.05), without defining these patients as obese.…”

Section: Comparison With the Literaturementioning

confidence: 99%

Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents

Monasor-Ortolá

Quesada

Nso-Roca

et al. 2021

IJERPH

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Obesity is caused by fat accumulation. BMI Z-score is used to classify the different degrees of weight status in children and adolescents. However, this parameter does not always express the true percentage of body fat. Our objective was to determine the degree of agreement between the fat mass percentage measured by DXA and the stratification of weight according to BMI Z-score in the pediatric age group. We designed a descriptive cross-sectional study. The patients were classified as underweight/normal weight with Z-scores between −2 and +0.99, overweight from 1 to 1.99, obese from 2 to 2.99, and very obese ≥3. We included 551 patients (47% girls), with a mean age of 11.5 ± 2.8 years (3.7–18 years). Higher BMI Z-scores were associated with a higher percentage of total fat (p < 0.001). However, there were important overlaps between both parameters, such that the BMI Z-score classified patients with the same percentage of total fat mass as having a different nutritional status classification. In conclusion, the stratification of weight status according to BMI Z-score revealed that 46.7% of patients had a fat percentage that did not correspond to their classification. For a more accurate weight assessment in clinical practice, we recommend combining anthropometric indices with diagnostic tools that better correlate with DXA, such as electrical bioimpedance.

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Value of Body Mass Index in the Diagnosis of Obesity According to DEXA in Well-controlled RA Patients

Cited by 4 publications

References 14 publications

The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis

The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis

Study of Nepheroblastoma Overexpressed Protein (NOV/CCN3) as a Biomarker in Serum of Iraqi Patients with Rheumatoid Arthritis

Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents

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