Literature DB >> 25184937

Correlation between psoriasis' severity and waist-to-height ratio.

Gleison Vieira Duarte1, Larissa Porto da Silva2.   

Abstract

In the absence of ideal biomarkers, the research for clinical markers correlated to the severity of psoriasis and/or its comorbidities becomes crucial. Recently, studies have shown positive correlation between body mass index and prevalence and severity of psoriasis. Abdominal circumference showed stronger correlation with disease severity than body mass index. We evaluated the waist-to-height ratio in a sample of 297 adult patients with psoriasis and observed that it has a significant correlation with body mass index and PASI, and together with body mass index allows the identification of central obesity, reducing its subdiagnosis.

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Year:  2014        PMID: 25184937      PMCID: PMC4155976          DOI: 10.1590/abd1806-4841.20142854

Source DB:  PubMed          Journal:  An Bras Dermatol        ISSN: 0365-0596            Impact factor:   1.896


We have previously demonstrated that the severity of psoriasis measured by PASI (Psoriasis Area Severity Index) in a Brazilian population presents a significant correlation with anthropometric measurements, such as Body Mass Index (BMI), Waist-to-Hip Ratio (WHR) and Waist Circumference (WC), especially the last two.[1] Recent studies show that Waist-to-height Ratio (WhtR) has a stronger correlation with cardiovascular diseases than WC.[2,3] Paller and cols. (2013) demonstrated that children with psoriasis have greater averages of WhtR than non-affected children. As it is not adequate for different ethnicities/ages, muscle mass levels, bone structure and not measuring central adiposity, BMI does not seem to be the best method for follow-up of patients with psoriasis even though it is still the most recommended by all guidelines.[5,6,7] We performed a cross-sectional study in which minimum sampling size (292) was calculated based on obesity prevalence in Bahia, around 5%, according to data from IBGE 2002 - 2005 Pesquisa de Orçamentos Familiares (Family Budgets Survey). A prevalence variation of 5% was considered, and then the formula N = z.p.q/d2 was used, where Z=1.96, P=prevalence, Q=(1-P) and d=error margin (±2.5%). New and subsequent patients were enrolled, totaling 296 patients in the period from October/2008 to August/2010. We evaluated WhtR in a sample of 297 adult patients with psoriasis, 289 of which had complete anthropometric measurements. A structured questionnaire was used for data collection. The results of the obesity prevalence study were previously published[1]. Descriptive statistics were done with the help of SPSS version 20.0 for Windows, the continuous variables described through means (± standard deviation) as well as medians and interquartiles, while categorical variables were described as proportions. The quantitative variables studied were submitted to the normality test of Kolmogorov-Smirnov. The significance level adopted was of 5%. The mean ± standard deviation (SD) of PASI for the sample was of 8.1 ± 7.8 (median 5.3; p25=2.7 and p75=10.9). WhtR varied from 0.38-0.92 with mean ± SD of 0.57 ± 0.08 and median of 0.56. PASI for the 243 patients with WhtR >0.5 had a median of 5.7, significantly greater than in the 48 patients with WhtR <0.5, 3.7 (Mann Whitney; p=0.03). Correlation between WhtR and BMI was of 0.86 (Spearman, p<0.01). Correlation between WhtR and PASI was of 0.14 (Spearman, p=0.01). Among 243 patients with alteration in anthropometric measure (BMI or WhtR), only 82 (33%) were detected by BMI (Table 1). In table 2 we observed that 110 patients whose WhtR showed obesity were classified as "overweight" instead of "obese" by BMI. When WhtR was <0.5, no obese patient was found according to BMI.
TABLE 1

Comparison of abnormal findings of WhtR and BMI based on cutoff points for obesity

AnthropometryBMI < 30kg/m2BMI > 30kg/m2Total
WhtR < 0.546046
WhtR > 0.516182243
Total20782289
TABLE 2

Distribution of WhtR frequencies and description of subgroups as per BMI cutoff points ("normal", "overweight" and "obese"). BMI in kg/m2

WhtR frequenciesN; %BMI < 25BMI > 25<30BMI > 30kg
0.38├ 0.4411;3%11 (100%)00
0.44├0.535;12%33 (94%)02 (6%)0
0.5├┤0.92243;84%51 (21%)110 (45%)82 (33%)
Comparison of abnormal findings of WhtR and BMI based on cutoff points for obesity Distribution of WhtR frequencies and description of subgroups as per BMI cutoff points ("normal", "overweight" and "obese"). BMI in kg/m2 The importance of a clinical marker correlated to the severity of psoriasis resides in the fact that we still do not have ideal biomarkers.[8] WhtR is found to be an accessible method, with an equal cutoff point for both sexes, correlated to obesity, cardiovascular disease and diabetes mellitus.[2,3] Considering that there is still no consensus about which is the best method, WhtR in this sample was quite correlated with obesity in patients with psoriasis, avoiding the problems of using BMI alone, besides presenting a positive correlation with PASI values.
  8 in total

Review 1.  Psoriasis and obesity: literature review and recommendations for management.

Authors:  Gleison Vieira Duarte; Ivonise Follador; Carolina M Alves Cavalheiro; Thadeu S Silva; Maria de Fátima S P de Oliveira
Journal:  An Bras Dermatol       Date:  2010 May-Jun       Impact factor: 1.896

2.  Necessity of both waist circumference and waist-to-height ratio for better evaluation of central obesity.

Authors:  Ichiro Wakabayashi
Journal:  Metab Syndr Relat Disord       Date:  2013-03-01       Impact factor: 1.894

3.  Update on biomarkers in psoriatic arthritis: a report from the GRAPPA 2010 annual meeting.

Authors:  Oliver Fitzgerald; Vinod Chandran
Journal:  J Rheumatol       Date:  2012-02       Impact factor: 4.666

4.  Association between obesity measured by different parameters and severity of psoriasis.

Authors:  Gleison Vieira Duarte; Maria de Fatima S P Oliveira; Thiago M Cardoso; Ivonise Follador; Thadeu S Silva; Carolina M A Cavalheiro; Walker Nonato; Edgar M Carvalho
Journal:  Int J Dermatol       Date:  2012-09-24       Impact factor: 2.736

5.  Waist-to-height ratio is the best indicator for undiagnosed type 2 diabetes.

Authors:  Z Xu; X Qi; A K Dahl; W Xu
Journal:  Diabet Med       Date:  2013-04-04       Impact factor: 4.359

6.  Association of pediatric psoriasis severity with excess and central adiposity: an international cross-sectional study.

Authors:  Amy S Paller; Katherine Mercy; Mary J Kwasny; Siew Eng Choon; Kelly M Cordoro; Giampiero Girolomoni; Alan Menter; Wynnis L Tom; Anne M Mahoney; Annet M Oostveen; Marieke M B Seyger
Journal:  JAMA Dermatol       Date:  2013-02       Impact factor: 10.282

Review 7.  National Psoriasis Foundation clinical consensus on psoriasis comorbidities and recommendations for screening.

Authors:  Alexa B Kimball; Dafna Gladman; Joel M Gelfand; Kenneth Gordon; Elizabeth J Horn; Neil J Korman; Gretchen Korver; Gerald G Krueger; Bruce E Strober; Mark G Lebwohl
Journal:  J Am Acad Dermatol       Date:  2008-03-04       Impact factor: 11.527

Review 8.  Obesity in psoriasis: the metabolic, clinical and therapeutic implications. Report of an interdisciplinary conference and review.

Authors:  W Sterry; B E Strober; A Menter
Journal:  Br J Dermatol       Date:  2007-07-11       Impact factor: 9.302

  8 in total
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1.  The Role of the Skin and Gut Microbiome in Psoriatic Disease.

Authors:  Di Yan; Naiem Issa; Ladan Afifi; Caleb Jeon; Hsin Wen Chang; Wilson Liao
Journal:  Curr Dermatol Rep       Date:  2017-04-22

2.  Presence of selected metabolic syndrome components in patients with psoriasis vulgaris.

Authors:  Sebastian Uczniak; Zofia A Gerlicz; Magdalena Kozłowska; Andrzej Kaszuba
Journal:  Postepy Dermatol Alergol       Date:  2016-05-16       Impact factor: 1.837

Review 3.  Psoriasis and Cardiovascular Comorbidities: Focusing on Severe Vascular Events, Cardiovascular Risk Factors and Implications for Treatment.

Authors:  Stephen Chu-Sung Hu; Cheng-Che E Lan
Journal:  Int J Mol Sci       Date:  2017-10-21       Impact factor: 5.923

4.  Prevalence of smoking, alcohol consumption and metabolic syndrome in patients with psoriasis.

Authors:  Esra Adışen; Selda Uzun; Funda Erduran; Mehmet Ali Gürer
Journal:  An Bras Dermatol       Date:  2018-03       Impact factor: 1.896

Review 5.  Epidemiology and treatment of psoriasis: a Brazilian perspective.

Authors:  Gleison V Duarte; Larissa Porto-Silva; Maria de Fátima Paim de Oliveira
Journal:  Psoriasis (Auckl)       Date:  2015-04-17
  5 in total

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