Critical overview of current anthropometric methods in comparison with a new index to make early detection of overweight in Spanish university students: the Normalised Weight-Adjusted Index

Doménech-Asensi, Guillermo; Gómez-Gallego, Carlos; Ros‐Berruezo, Gaspar; García‐Alonso, Francisco Javier; Canteras-Jordana, Manuel

doi:10.20960/nh.1189

Cited by 5 publications

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“…The cutoff points for obesity vary with age [ 25 ]. Conicity index [ 26 ] is calculated as follows:

NWAI (normalized weight-adjusted index) [ 27 ]: The formula is (weight/10)−(10 × height) + 10, expressing weight in kg and height in meters. Body surface index [ 28 ] is calculated as follows: BSI = weight/BSA BSA (body surface area) = weight 0.425 × height 0.725 × 0.007184 (weight in (kg) and height in (cm)).…”

Section: Methodsmentioning

confidence: 99%

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Relationship between Atherogenic Dyslipidaemia and Lipid Triad with Different Scales of Overweight and Obesity in 418,343 Spanish Workers

Busquets-Cortés¹,

López²,

Paublini³

et al. 2022

Journal of Nutrition and Metabolism

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Obesity induces alterations in lipid biochemistry, evolving toward dyslipidaemia atherogenesis, a critical factor in the development of cardiovascular events. Two relevant forms of lipid abnormalities are atherogenic dyslipidaemia (AD) and lipid triad (LT), which involve alterations in triglyceride levels, HDL-c, and LDL-c. The aim of this study was to assess the linkage of atherogenic AD and LT with different scales of overweight and obesity. We carried out a cross-sectional study including 418,343 Spanish adult workers, recruited from workplace health assessments. Atherogenic dyslipidaemia was defined as triglyceride levels ≥ 150 mg/dL, HDL values < 40 mg/dL in men and <45 mg/dL in women, and normal LDL. Additionally, if LDL levels were >160 mg/dL, LT was considered. Subjects affected by AD and LT in the study exhibited significantly higher mean values than those without AD and LT in all overweight, obesity, and body fat related scales studied. VAI (visceral adiposity index) was the strongest predictor of AD (AUC = 0.934, 95% CI: 0.933 to 0.936) and LT (AUC = 0.926, 95% CI: 0.923 to 0.928). Atherogenic dyslipidaemia and LT positively correlate with different scales of overweight and obesity. Further studies should aim to identify other contributory factors. Our obtained data might be useful in laying the groundwork for future works on AD and LT.

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“…The cutoff points for obesity vary with age [ 25 ]. Conicity index [ 26 ] is calculated as follows:

Section: Methodsmentioning

confidence: 99%

“…NWAI (normalized weight-adjusted index) [ 27 ]: The formula is (weight/10)−(10 × height) + 10, expressing weight in kg and height in meters.…”

Section: Methodsmentioning

confidence: 99%

Relationship between Atherogenic Dyslipidaemia and Lipid Triad with Different Scales of Overweight and Obesity in 418,343 Spanish Workers

Busquets-Cortés¹,

López²,

Paublini³

et al. 2022

Journal of Nutrition and Metabolism

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“…We used the following scales to estimate overweight and obesity: Clínica Universitaria de Navarra Body Adiposity Estimator (CUN BAE), 9 Equation Córdoba Estimator Body Fat (ECORE-BF), 10 Palafolls’s formula, 11 Deurenberg’s formula, 12 relative fat mass, 13 visceral adiposity index (VAI), 14 dysfunctional adiposity index, 15 body roundness index, 16 body surface index (BSI), 17 conicity index, 18 body shape index (ABSI), 19 and normalized weight-adjusted index (NWAI). 20 To measure insulin resistance we used the following indices: triglyceride glucose index, triglyceride glucose index-BMI, triglyceride glucose index-waist. 21 For cardiometabolic risk: waist triglyceride index, 22 cardiometabolic index, 23 fatty liver index, 24 hepatic steatosis index (HSI), 25 Zhejian University index (ZJU), 26 fatty liver disease index (FLD), 27 BARD scoring system, 28 Framingham steatosis index, 29 and lipid accumulation product.…”

Section: Methodsmentioning

confidence: 99%

“…O sobrepeso e a obesidade são estimados com diferentes escalas: Estimador de Adiposidade Corporal da Clínica Universitária de Navarra (CUN BAE) 9 , Estimador de Adiposidade Corporal Equação Córdoba (ECORE-BF) 10 , fórmula Palafolls 11 , equação de Deurenberg 12 , índice de massa gorda relativa 13 , índice de adiposidade visceral (VAI) 14 , índice de adiposidade disfuncional 15 , índice de redondeza corporal 16 , índice de superfície corporal (BSI) 17 , índice de conicidade 18 , índice de forma corporal (ABSI) 19 e índice normalizado de peso ajustado (NWAI) 20 . A resistência à insulina é estimada com o índice de triglicerídeo glicêmico, índice de triglicerídeo glicêmico-IMC, índice de triglicerídeo glicêmico-cintura 21 .…”

Section: Critérios De Inclusãounclassified

Determination of cardiovascular risk in Spanish veterinarians using different scaling methods

López-González¹,

Miguel²,

Bote³

et al. 2023

Rev Bras Med Trab

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As doenças cardiovasculares são responsáveis por uma taxa de morbimortalidade significativa no mundo. Devido às características do seu trabalho, os profissionais de saúde, incluindo veterinários, são mais propensos a apresentar este tipo de patologia. Objetivos: Determinar o nível de risco cardiovascular utilizando diferentes escalas num grupo veterinários. Métodos: Estudo descritivo e transversal em 610 veterinários em que foram avaliadas diferentes escalas relacionadas com o risco cardiovascular, incluindo 14 escalas de excesso de peso e obesidade, seis de fígado gordo, seis de risco cardiovascular, quatro índices aterogênicos e três de síndrome metabólica. Resultados: A prevalência da obesidade foi de 7,95% nas mulheres e 17,53% nos homens. A hipertensão estava presente em 15,23% das mulheres e 24,68% dos homens. A dislipidemia afetou 45% das mulheres e 58,64% dos homens. A prevalência da síndrome metabólica com critérios da International Diabetes Federation foi ligeiramente superior a 10% enquanto valores moderados ou elevados da escala Registre Gironí del Cor foram encontrados em 10,90% das mulheres e 14,93% dos homens. Conclusões: Neste grupo de veterinários, o nível de risco cardiovascular pode ser considerado de moderado a elevado. Palavras-chave | doenças cardiovasculares; obesidade; risco; médicos veterinários. ABSTRACT | Introduction:Cardiovascular diseases are responsible for a significant morbimortality rate around the world. Due to the characteristics of their work, health care professionals, including veterinarians, are more prone to present this type of pathology. Objectives: To determine the level of cardiovascular risk using different scales in a group of veterinarians. Methods: A descriptive and cross-sectional study of 610 Spanish veterinarians was conducted to assess cardiovascular risk scores, including 14 overweight and obesity scales, six fatty liver scales, six cardiovascular risk scales, four atherogenic indices, and three metabolic syndrome scales. Results: The prevalence of obesity among women was 7.95%, and 17.53% among men. Hypertension was present in 15.23% of women and 24.68% of men. Dyslipidemia affected 45% of women and 58.64% of men. The prevalence of metabolic syndrome according to the International Diabetes Federation criteria was slightly over 10% while 10.90% of women and 14.93% of men showed moderate to high values on the Registre Gironí del Cor scale. Conclusions: There is a moderate to high level of cardiovascular risk among veterinarians in this group.

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“…Other indicators related to overweight and obesity: Visceral adiposity index (VAI) 15 Body roundness index 16 Body shape index (ABSI). 19 Normalized weight-adjusted index (NWAI) 20 :…”

Section: Inclusion Criteriamentioning

confidence: 99%

Differences in cardiovascular risk levels between cleaning staff and hotel housekeepers

López-González

Manzanero²,

Miguel³

et al. 2022

Journal of Occupational Health

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Background and objective Cardiovascular diseases are the leading cause of morbidity and mortality worldwide, with a greater incidence in the most disadvantaged social classes. In this study, we aimed to evaluate the level of cardiovascular risk in cleaning workers. Methods This was a descriptive, cross‐sectional study in 46.632 cleaning workers (40.169 women and 6.463 men). Thirty‐one different scales related to cardiovascular risk were studied (14 assessing overweight and obesity, 5 determining the risk of nonalcoholic fatty liver disease, 5 scales of cardiovascular risk, 4 atherogenic indices, and 3 scales of metabolic syndrome, among others). The results obtained were divided between personnel who perform their cleaning tasks in the hotel and catering industry and those in other sectors. Results The prevalence of obesity and arterial hypertension in cleaning workers was over 20% in both sexes. A similar amount was observed in moderate or high values on the REGICOR (Registre GIroní del COR) scale. More than 15% presented metabolic syndrome according to the NCEP ATPIII (National Cholesterol Education Program‐Adult Treatment Program III) criteria, while over 10% of women and 20% of men had a high risk of nonalcoholic fatty liver disease assessed with the fatty liver index. Conclusion Cardiovascular risk is higher, in both sexes, in the group of cleaning workers who work in companies other than hotels.

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Critical overview of current anthropometric methods in comparison with a new index to make early detection of overweight in Spanish university students: the Normalised Weight-Adjusted Index

Abstract: differences between anthropometric methods for overweight and cardiovascular disease risk classification were confirmed. Classical cut-off point may misdiagnose overweight or health risk in Spanish university students depending of the method employed.

Cited by 5 publications

References 0 publications

Relationship between Atherogenic Dyslipidaemia and Lipid Triad with Different Scales of Overweight and Obesity in 418,343 Spanish Workers

Relationship between Atherogenic Dyslipidaemia and Lipid Triad with Different Scales of Overweight and Obesity in 418,343 Spanish Workers

Determination of cardiovascular risk in Spanish veterinarians using different scaling methods

Differences in cardiovascular risk levels between cleaning staff and hotel housekeepers

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