Comparative analysis of anthropometric indicators for diagnosing obesity and predicting cardiometabolic risk in Mexican adolescents

Hernández, Mauricio Megchún; Raya, Judith Espinosa; Parra, Esmeralda García; Gómez-Pliego, Raquel; Pérez, Manuela Castellanos; Aranda, Alfredo Briones

doi:10.20960/nh.03897

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Buddy roundness index BRI was estimated as 364.2 − 365.5 √1 − (WC/(2π)) 2 /(0.5Ht) 2 , the resulting number was between 0 and 1, 1 represents the most linear state possible and 0 represents the roundest state (Thomas et al, 2013). CI was calculated using the following formula :WC / 0.109 √Wt / Ht (Martins et al, 2015; Valdez, 1991). In all equations weight was in kilograms, height and WC were in centimeters.…”

Section: Methodsmentioning

confidence: 99%

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study

et al. 2022

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Background Results of studies on the effects of plant and animal proteins on lipid profile are controversial. So we aimed to assess the relationship between plant and animal protein intake with lipid profile and novel anthropometric indices in healthy individuals. Method In this cross-sectional study, 236 participants have selected from Shiraz medical centers (Iran) through random cluster sampling. Food intakes were assessed using a 168-items food frequency questionnaire (FFQ). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were measured. Anthropometric indices including a body shape index (ABSI), abdominal volume index (AVI), buddy roundness index (BRI), and conicity index (CI) were calculated. Results In the crude and fully adjusted models, more consumption of plant proteins was associated with TG levels (OR = 2.31; 95% CI: 1.08, 4.95; P = 0.03 and OR = 2.39; 95% CI: 1.03, 5.15; P = 0.04). Also, there was a significant direct association between plant proteins and BRI in the curd model (OR = 3.55; 95% CI: 1.32, 9.54; P = 0.01), and after adjusting for age and energy intake (OR = 3.32; 95% CI: 1.21, 9.14; P = 0.01). More consumption of plant proteins was related to higher CI in the crude model (OR = 3.06; 95% CI: 1.12, 8.31; P = 0.03), but not in the fully adjusted model. Conclusion We found that a higher intake of plant proteins was associated with a higher TG level, BRI, and CI index. However, more research is needed to confirm these relations and provide the evidence needed to exert these findings into clinical practice.

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Section: Methodsmentioning

confidence: 99%

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study

et al. 2022

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“…Se han utilizado distintos marcadores para estimar su capacidad predictiva en RCV y actuar precozmente: circunferencia del cuello y relación cintura-talla 3 , y porcentaje de grasa corporal, circunferencia de la cintura e IMC 4 , entre otros.…”

Section: Introductionunclassified

Relación predictiva de los índices de adiposidad visceral y adiposidad disfuncional con el riesgo cardiovascular en población laboral

Vicente-Herrero,

Egea Sancho,

Ramírez Iñiguez de la Torre

et al. 2023

Rev Clín Med Fam

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Objetivo: estimar la capacidad predictiva de los índices de adiposidad visceral (VAI) y disfuncional (DAI) en riesgo cardiovascular (RCV) de población laboral española. Métodos: análisis descriptivo en 418.343 trabajadores españoles de diferentes sectores durante la vigilancia de la salud en sus empresas. Se calculó el VAI y el DAI ajustándose a sus ecuaciones y el RCV mediante Registre Gironí del Cor (REGICOR), Systematic Coronary Risk Evaluation (SCORE) y estudio DORICA. Se estimó fortaleza asociativa mediante curvas de características operativas del receptor (ROC). El programa estadístico fue SPSS 27.0, considerando significación estadística p < 0,05. Resultados: los valores de RCV con los tres métodos son más elevados en hombres (p < 0,0001). El RCV más alto en mujeres se obtiene con REGICOR (1,58%) y en hombres con Score (11,28%). Con los métodos de valoración de RCV utilizados en ambos sexos, los valores medios de VAI y DAI van aumentando según lo hace el RCV. VAI y DAI son estimadores útiles de RCV en mujeres con DORICA AUC (área bajo la curva)-VAI 0,865 (intervalo de confianza [IC] 95%: 0,836-0,894) y AUC-DAI 0,859 (IC 95%: 0,829-0,888). En hombres, solo muestran moderada capacidad predictiva (valores AUC-VAI 0,774 (IC 95%: 0,768-0,780), AUC-DAI 0,762 (IC 95%: 0,756-0,768). La fortaleza asociativa es baja en ambos sexos con Score y REGICOR (AUC < 0,7). Conclusión: VAI y DAI aumentan sus valores medios según aumenta el RCV estimado con REGICOR, SCORE y DORICA. VAI y DAI tienen elevada capacidad predictiva con el RCV estimado con DORICA en mujeres y moderada fortaleza en hombres. Palabras clave: riesgo cardiovascular, índice de adiposidad visceral, índice de adiposidad disfuncional, salud laboral.

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Comparative analysis of anthropometric indicators for diagnosing obesity and predicting cardiometabolic risk in Mexican adolescents

Abstract: Comparative analysis of anthropometric indicators for diagnosing obesity and predicting cardiometabolic risk in Mexican adolescentsAnálisis comparativo de indicadores antropométricos para el diagnóstico de obesidad y predicción del riesgo cardiometabólico en adolescentes mexicanos

Cited by 2 publications

References 21 publications

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study

Relación predictiva de los índices de adiposidad visceral y adiposidad disfuncional con el riesgo cardiovascular en población laboral

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