Validación de índices antropométricos alternativos como marcadores del riesgo cardiovascular

Pérez, Luis Miguel Luengo; Gálvez, Juan Manuel Urbano; Miranda, M. Pérez

doi:10.1016/s1575-0922(09)72964-x

Cited by 13 publications

(10 citation statements)

References 19 publications

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“…In the case of women under 50, the WHtR and BMI showed a greater correlation with cardiovascular risk. For women 50 years of age and older, only WHR presented a significant correlation 27 .…”

Section: Others Variables and Cvd/dmmentioning

confidence: 89%

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Anthropometric measures as predictors of cardiovascular risk in a population of employees

Morantes-Rolon¹,

González-Correa²,

Coca-Patiño³

2022

RCCAR

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Background: There are several scales to calculate the cardiovascular risk of patients at the outpatient level; however, most of them require the measurement of parameters that involve high costs or waiting time for the results. Objective: The objective of this study was to show the capacity of some anthropometric measures for the prediction of cardiovascular risk in an adult population of a Colombian State University. Materials and methods: Ninety-eight working individuals of a State university with an average age of 50.6 ± 7.5 years were evaluated in 2014. For each person, the variables gender, age, height, weight, percentage body fat (%BF), body mass index, blood pressure (BP), percentage of hand grip strength (%HGS), midline level waist circumference (MLW), waist-to-hip ratio, waist-to-height ratio, fruit and vegetable portions ingested per day, and cigarette smoking were recorded. Subsequently, in 2018, the participants were contacted and were asked about new medical diagnoses of cardiovascular type that they would have had in the time elapsed since the evaluation. Results: Eighty-three individuals participated in the new evaluation (2018). The MLW was an independent risk factor associated with type 2 diabetes mellitus (DM) OR: 1214 (95% CI, p = 0.010) and the %BF associated with high BP (HBP) OR: 1137 (95% CI, p = 0.028). Conclusion: MLW and %BF are economic anthropometric measurements techniques that can help predict the risk of developing DM and HBP at 4 years.

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Section: Others Variables and Cvd/dmmentioning

confidence: 89%

“…The study by Luengo-Pérez et al 27 showed a much more important relationship. The research showed that in men up to 50 years, the WHR remains the one that shows the highest correlation with cardiovascular risk, followed by WHtR.…”

Section: Others Variables and Cvd/dmmentioning

confidence: 91%

Anthropometric measures as predictors of cardiovascular risk in a population of employees

Morantes-Rolon¹,

González-Correa²,

Coca-Patiño³

2022

RCCAR

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“…These were evaluated given that some of them are incorporated in the definition of emergent indices considered in this study, such as: the arm-waist index (AWI), hip-wrist index (HWrI), waist-wrist index (WWrI), waist to hip to height ratio (WHHR), waist to height square (W/Ht 2 ), waist to height cubic (W/Ht 3 ), height cubic to waist cubic (H 3 /W 3 ), waist-corrected BMI (wBMI), ponderal index (PI), body roundness index (BRI), body adiposity index (BAI), a body shape index (ABSI), conicity index (CI), body fat distribution index (BFDI), abdominal volume index (AVI), and pulse mass index (PMI). The emergent anthropometric indices were derived using the following formulae: Arm-waist index (AWI, cm): WC (cm)/left arm circumference (cm) Hip-wrist index (HWrI, cm): hip circumference (cm)/left wrist circumference (cm) [ 22 ]. Waist-wrist index (WWrI, cm): WC (cm)/left wrist circumference (cm) [ 22 ].…”

Section: Methodsmentioning

confidence: 99%

“…The emergent anthropometric indices were derived using the following formulae: Arm-waist index (AWI, cm): WC (cm)/left arm circumference (cm) Hip-wrist index (HWrI, cm): hip circumference (cm)/left wrist circumference (cm) [ 22 ]. Waist-wrist index (WWrI, cm): WC (cm)/left wrist circumference (cm) [ 22 ]. Waist to hip to height ratio (WHHR, m −1 ): WHR/height (m) [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

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Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex

Zaragoza-García

Gutiérrez-Pérez

Floody

et al. 2022

International Journal of Hypertension

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Background. Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults. Methods. A cross-sectional study was conducted in 1,150 participants aged 18–80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values’ upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN. Results. The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08, p < 0.001 ) and conicity index (CI) (OR = 1.37, p = 0.044 ) were associated with preHTN, while CI (OR = 2.47, p < 0.001 ) and waist to height squared (W/Ht2) (OR = 2.19, p < 0.001 ) were associated with HTN. Furthermore, in both sexes, BRI was the main predictor of preHTN (AUC: 0.634 and 0.656, respectively). Particularly, according to sex and age range, the predictive emergent anthropometric indices in men were the body shape index (ABSI) and waist to height cubic (W/Ht3) (AUC = 0.777 and 0.771, respectively), whereas in women, the predictors were CI and ABSI (AUC = 0.737 and 0.729, respectively). In men ≤40 years old, central body fat indices were predictors of preHTN and HTN, but in men >40 years old, the predictor indices were W/Ht3 and W/Ht2. In women ≤40 years, the pulse mass index (PMI) was the best main predictor (AUC = 0.909) of HTN. Conclusion. CI, PMI, W/Ht3, W/Ht2, and ABSI could represent differential predictors of preHTN and HTN between men and women according to age range.

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Effect of an aerobic and strength exercise combined program on oxidative stress and inflammatory biomarkers in patients undergoing hemodialysis: a single blind randomized controlled trial

et al. 2022

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Validación de índices antropométricos alternativos como marcadores del riesgo cardiovascular

Cited by 13 publications

References 19 publications

Anthropometric measures as predictors of cardiovascular risk in a population of employees

Anthropometric measures as predictors of cardiovascular risk in a population of employees

Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex

Effect of an aerobic and strength exercise combined program on oxidative stress and inflammatory biomarkers in patients undergoing hemodialysis: a single blind randomized controlled trial

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