A proposal for a primary screening tool: `Keep your waist circumference to less than half your height’

Ashwell, Margaret; Gibson, Sigrid

doi:10.1186/s12916-014-0207-1

Cited by 166 publications

(185 citation statements)

References 27 publications

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“…It is well recognized that WHtR is a good predictor for morbidity and mortality (28). Even though BMI is commonly used as a measure of overall adiposity and classify risk level to various chronic illnesses (29,32), growing evidence suggests that a central (abdominal) fat distribution pattern, evidenced by a higher waist circumference or WHtR, might be a better measure of risk (33)(34)(35)(36)(37)(38)(39)(40)(41).…”

Section: Discussionmentioning

confidence: 99%

Prevalence of overweihgt, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina

Zapata

Bibiloni

2016

Nutr Hosp

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ResumenIntroducción: el objetivo de este trabajo fue evaluar la prevalencia de sobrepeso, obesidad, obesidad abdominal y baja estatura entre la población adulta de Rosario (Argentina). Material y métodos: se llevó a cabo un estudio nutricional transversal en Rosario (2012Rosario ( -2013, entrevistando una muestra aleatoria (n = 1.194) de la población adulta (18-70 años). Se realizaron mediciones antropométricas y un cuestionario general de características sociodemográfi cas, estilo de vida, nivel de educación y actividad física. Resultados: este estudio encontró una alta prevalencia de sobrepeso y obesidad entre la población adulta en Rosario. La prevalencia de sobrepeso fue del 32,7% (43,9% en hombres y 27,6% en las mujeres, p < 0,001), de obesidad fue 23,5% (21,6% en hombres y 24,3% en las mujeres) y de obesidad abdominal fue de 57,5% (63,5% en los hombres y 54,8% en las mujeres, p < 0,005). El análisis multivariado mostró que la prevalencia de sobrepeso/obesidad y obesidad abdominal aumentó según la edad y la obesidad abdominal se redujo en hombres con elevada práctica de actividad física. En las mujeres, la prevalencia de sobrepeso/obesidad y obesidad abdominal aumentó con la edad, el estado civil (casado o en pareja), la presencia de al menos un niño en casa y bajo nivel educativo. Conclusión: la prevalencia de talla baja fue mayor en las mujeres (16,4% vs. 8,4%, p < 0,001) y estaba relacionada con la edad, el sobrepeso y la obesidad abdominal. AbstractIntroduction: The aim of this work was to assess the prevalence of overweight, obesity, abdominal-obesity and short stature among Rosario (Argentina) adult population. Materials and methods: A cross-sectional nutritional survey was carried out in Rosario (2012Rosario ( -2013. A random sample (n = 1194) of adult population (18-70 years old) was interviewed. Anthropometric measurements and a general questionnaire incorporating questions related to socio-demographic and lifestyle characteristics, education level and physical activity were used. Results: The current study detected a high prevalence of overweight and obesity among adult population in Rosario. The prevalence of overweight was 32.7% (43.9% in men and 27.6% in women, p < 0.001), of obesity was 23.5% (21.6% in men and 24.3% in women), and of abdominal obesity was 57.5% (63.5% in men vs. 54.8% in women, p < 0.005). Multivariate analysis showed that the prevalence of overweight/obesity and abdominal obesity increased according the age and abdominal obesity decreased with high physical activity in men. In women prevalence of overweight/obesity, and abdominal obesity increased with age, marital status (married or coupled), presence of at least one child at home and low educational level. Conclusion: The prevalence of short stature was higher in women (16.4% vs. 8.4%, p < 0.001) and was related with age, overweight and abdominal obesity.

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Section: Discussionmentioning

confidence: 99%

Prevalence of overweihgt, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina

Zapata

Bibiloni

2016

Nutr Hosp

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“…[12][13][14][15] This boundary value has Strengths and limitations of this study ▪ The use of the waist-to-height ratio (WHtR) addresses a current dilemma of how best to identify 'early health risk' with a very simple, low cost, anthropometric measure. ▪ The predictive value of WHtR is backed by systematic reviews and meta-analyses in many different populations.…”

Section: Introductionmentioning

confidence: 99%

Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’ based on BMI and waist circumference

Ashwell

Gibson²

2016

BMJ Open

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408

312

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ObjectivesThere is now good evidence that central obesity carries more health risks compared with total obesity assessed by body mass index (BMI). It has therefore been suggested that waist circumference (WC), a proxy for central obesity, should be included with BMI in a ‘matrix’ to categorise health risk. We wanted to compare how the adult UK population is classified using such a ‘matrix’ with that using another proxy for central obesity, waist-to-height ratio (WHtR), using a boundary value of 0.5. Further, we wished to compare cardiometabolic risk factors in adults with ‘healthy’ BMI divided according to whether they have WHtR below or above 0.5.Setting, participants and outcome measuresRecent data from 4 years (2008–2012) of the UK National Diet and Nutrition Survey (NDNS) (n=1453 adults) were used to cross-classify respondents on anthropometric indices. Regression was used to examine differences in levels of risk factors (triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), TC: HDL, glycated haemoglobin (HbA1c), fasting glucose, systolic (SBP) and diastolic blood pressure (DBP)) according to WHtR below and above 0.5, with adjustment for confounders (age, sex and BMI).Results35% of the group who were judged to be at ‘no increased risk’ using the ‘matrix’ had WHtR ≥0.5. The ‘matrix’ did not assign ‘increased risk’ to those with a ‘healthy’ BMI and ‘high’ waist circumference. However, our analysis showed that the group with ‘healthy’ BMI, and WHtR ≥0.5, had some significantly higher cardiometabolic risk factors compared to the group with ‘healthy’ BMI but WHtR below 0.5.ConclusionsUse of a simple boundary value for WHtR (0.5) identifies more people at ‘early health risk’ than does a more complex ‘matrix’ using traditional boundary values for BMI and WC. WHtR may be a simpler and more predictive indicator of the ‘early heath risks’ associated with central obesity.

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“…Bel/boy oranının abdominal obezite ve hastalık riskleri ile olan ilişkisi ilk kez 1990'lı yıllarda öne çıkmıştır. Bel/boy oranı ile ilgili son yıllarda yapı-lan çalışmalar, bel/boy oranının BKİ, bel çevresi ve bel/kalça oranına göre kardiyometabolik risk ile tip 2 diyabet riskinin belirlenmesinde daha iyi bir ölçüm olduğu üzerinde durmaktadır (Ashwell, Gunn, & Gibson, 2012;Savva, Lamnisos, & Kafatos, 2013;Ashwell & Gibson, 2014;Bohr, Laurson, & McQueen, 2016). Tip 2 diyabet risk faktörleri ve risk grupları ile ilgili yapılan bir ça-lışmada abdominal obezite ve sedanter yaşam tarzı risk faktörleriyle ilgili olarak hemşirelerde tip 2 diyabet riskinin diğer sağlık profesyonellerine kı-yasla daha yüksek olduğu belirlenmiştir (Almeida, Zanetti, Almeida, & Damasceno, 2011).…”

Section: Introductionunclassified

The Assesment of Relation Between Waist/Height Ratio and Type 2 Diabetes Risk Among Nursing Students

Gezer¹

2017

J Food Health Sci

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Öz:Bu araştırmada hemşirelik bölümü öğrencilerinin tip 2 diyabet riski ile bel/boy oranı ve tip 2 diyabet riski iliş-kisinin değerlendirilmesi amaçlanmıştır. Vücut ağırlığı, boy uzunluğu, bel ve kalça çevresi ölçümleri tekniğine uygun olarak yapılmış ve Finlandiya tip 2 diyabet riski anketi uygulanmıştır. Öğrencilerin %67.1'inin 10 yıllık tip 2 diyabet riskinin %1, %28.5'inin 10 yıllık diyabet riskinin %4, %2.2'sinin 10 yıllık tip 2 diyabet riskinin %16 ve %2.2'sinin 10 yıllık tip 2 diyabet riskinin %33 olduğu saptanmıştır. Tip 2 diyabet riski ile bel/boy oranı ve beden kütle indeksi arasındaki ilişki orta dü-zeyde olup bel/boy oranı, tip 2 diyabet riski ile korelasyon katsayısı en yüksek olan ölçümdür. Gençlerde tip 2 diyabet riskinin girişimsel olmayan yöntemlerle belirlenebilmesi riskin azaltılmasında etkili olabilir.Anahtar Kelimeler: Diabetes mellitus, Obezite, Abdominal, Öğrenciler, Hemşirelik Abstract: THE ASSESMENT OF RELATION BETWEEN WAIST/HEIGHT RATIO AND TYPE 2 DIABETES RISK AMONG NURSING STUDENTSIn this study it's aimed to evaluate type 2 diabetes risk and the relation between type 2 diabetes and waist/height ratio in nursing students. Body weight, height, waist and hip circumferences were performed by following the appropriate techniques and Finnish type 2 diabetes risk score questionnarie was applied. The ratio of students whose ten years risk of type 2 diabetes risk were %1, %4, %16 and %33 assesed as %67.1, %28.5, %2.2 and %2.2, respectively. While type 2 diabetes risk correlated with both waist/height ratio and body mass index at medium level, waist/height ratio had the highest correlation coefficient with type 2 diabetes. The assesment of type 2 diabetes risk of youth with noninasive techniques could be effective for decreasing the risk.

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A proposal for a primary screening tool: `Keep your waist circumference to less than half your height’

Cited by 166 publications

References 27 publications

Prevalence of overweihgt, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina

Prevalence of overweihgt, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina

Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’ based on BMI and waist circumference

The Assesment of Relation Between Waist/Height Ratio and Type 2 Diabetes Risk Among Nursing Students

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