Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

Hwu, Chii‐Min; Hsiao, Chin‐Fu; Sheu, Wayne H‐H; D, Pei; Tai, Tong-Yuan; Quertermous, Thomas; Rodríguez, Beatriz L.; Pratt, Richard E.; Chen, Y.-D. I.; Ho, Low Tone

doi:10.1038/sj.jhh.1001532

Cited by 18 publications

(21 citation statements)

References 25 publications

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“…However, as Inuit are undergoing a dietary transition, which also involves decreases in physical activity due to modern-day conveniences and sedentary jobs, the rates of obesity and of obesity-related chronic diseases including type 2 diabetes mellitus (DM) are increasing (3)(4)(5). Therefore, an evaluation of the extent to which anthropometric measures relate to indices of insulin sensitivity (6,7) among Inuit, as has been shown among other populations (8)(9)(10), was conducted.…”

Section: Introductionmentioning

confidence: 99%

Inuit anthropometry and insulin resistance

Charbonneau-Roberts

Young²,

Egeland³

2007

International Journal of Circumpolar Health

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Objectives. Due to the increasing prevalence of obesity among Inuit, a study was conducted in an Inuit community to evaluate the anthropometric correlates of indices of insulin resistance using the homeostasis model assessment index (IR HOMA ) and the insulin sensitivity index (ISI 0,120 ). Study Design. Data were collected as part of a health screening in a Baffin community in Nunavut, Canada, among adults 18 years of age and above. Methods. A total of 52 Inuit participated in the health screening of which 46 completed both the fasting and the 2-hour blood tests. Insulin sensitivity indices could be calculated on 45 participants. Results. Results for women indicated that in age-adjusted linear regression analyses, body mass index, waist circumference (WC) and percent body fat (%BF) predicted IR HOMA , and ISI 0,120 (p<0.05). For men, %BF predicted IR HOMA , and WC and %BF predicted ISI 0,120 (p≤0.05). Conclusions. The present study suggests that increasing rates of obesity among Inuit will have health consequences and that anthropometry is a useful tool to indirectly assess insulin resistance/ sensitivity. (Int J Circumpolar Health 2007; 66(2) [129][130][131][132][133][134]

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Section: Introductionmentioning

confidence: 99%

Inuit anthropometry and insulin resistance

Charbonneau-Roberts

Young²,

Egeland³

2007

International Journal of Circumpolar Health

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“…Los estudios que citan en su metodología el equipo empleado en la medición del DAS se refieren al calibre abdominal Holtain-Kahn Abdominal Caliper ® (Holtain; Dyfed Wales, Reino Unido), con brazo móvil y precisión de 0,1 cm. Además del equipo descrito, para la medición es necesaria una mesa de examen rígida 12,13,18,21,22,[24][25][26]30,[36][37][38][39][40] . La medida del DAS se debe obtener en el milímetro más próximo, cuando el brazo móvil del compás toca levemente el abdomen, sin compresión, después del movimiento espiratorio normal.…”

Section: Protocolos De Medición Del Dasunclassified

“…La mayoría de los estudios utilizan la medida del DAS como un parámetro aislado para evaluar la adiposidad central 3,20,21,24,[28][29][30][38][39][40][41]50 . Sin embargo, en algunos estudios se evaluó el IS, también conocido como índice de diámetro abdominal (IDA) 13,18,27 o índice de diámetro sagital (IDS) 36 , a partir de una combinación del DAS con el Pmuslo.…”

Section: Utilización Del Das: Valor Absoluto Y Cálculo De íNdices O Iunclassified

Diámetro abdominal sagital: aplicaciones en la práctica clínica

Silva-Ferreira

Azevedo-Abreu

Cunha-Oliveira-Dos-Santos-Lopes

et al. 2012

Rev Esp Nutr Hum Diet

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El exceso de tejido adiposo visceral se asocia con factores de riesgo cardiovascular. Recientemente, el diámetro abdominal sagital (DAS) se ha convertido en un indicador de obesidad central y puede ayudar en la predicción del riesgo cardiovascular. El objetivo del estudio es revisar la literatura científica sobre la utilización del DAS para evaluación nutricional de adultos. Se llevó a cabo una búsqueda de artículos científicos en las bases de datos electrónicas SciELO , MEDLINE (PubMed) y Biblioteca Virtual de Salud. El DAS se asocia con la grasa abdominal (especialmente visceral) y diferentes factores de riesgo cardiovascular, como resistencia a la insulina, presión arterial y lipoproteínas plasmáticas, en mayor magnitud que indicadores tradicionales como el índice de masa corporal y la relación cintura/cadera. El DAS se puede utilizar en combinación con otras medidas antropométricas. Todavía no hay puntos de corte establecidos para la clasificación. El DAS puede ser una alternativa para estimar la grasa visceral, pero el pequeño número de estudios y la falta de consenso sobre la referencia anatómica para el registro de medidas dificultan la determinación del punto de corte para su interpretación.

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“…The study population has been reported previously. 12,13 The SAPPHIRe Network consists of six field centres in San Francisco, Hawaii and Taiwan. In the present study, 228 (119 men, 109 women) hypertensive patients who received IST to evaluate their in vivo insulin sensitivity were included for analysis.…”

Section: Subjectsmentioning

confidence: 99%

“…12 Each subject was subjected to a 75 g oral glucose tolerance test (OGTT) thereafter. 13 Fasting blood samples were collected for the measurements of PG and insulin. Then, 75 g glucose monohydrate (in 300 ml water) was administered to the subject to drink off within 5 min.…”

Section: Clinical Examinationmentioning

confidence: 99%

Surrogate estimates of insulin sensitivity in subjects with hypertension

et al. 2007

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The purpose of the study is to compare surrogate estimates of insulin sensitivity with a directly measured insulin sensitivity index, steady-state plasma glucose (SSPG) from insulin suppression test (IST), in subjects with hypertension. Two hundred and twenty-eight hypertensive patients who received IST for SSPG were included for analysis. Estimates from fasting measurements alone, homeostasis model assessment for insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI)), and indices from fasting and/or 2 h samples (ISI 0,120 and ISI TX ) were calculated. In addition to Pearson and partial correlations, variancecomponent models were used to test the relationship between surrogate estimates of insulin sensitivity and SSPG. A large proportion of variance owing to covariates in the variance-component models indicated the goodness of model fit, irrespective of the independence among variables. SSPG was positively correlated with logarithmic transformation (Log) (HOMA-IR) and negatively correlated with QUICKI, Log (ISI 0,120 ) and ISI TX (all Po0.0001). Log (ISI 0,120 ) seemed to have a better correlation with SSPG (r ¼ À0.72) than other measures in partial correlation. The proportion of variance owing to all covariates of Log (ISI 0,120 ) and ISI TX were larger than those of Log (HOMA-IR) and QUICKI in the variancecomponent models. After adjustments for demographic and obesity covariates, the proportion of variance explained by Log (ISI 0,120 ) were largest among the surrogate measures in the variance-component models. Our results showed that ISI 0,120 and ISI TX correlated better with SSPG than those used fasting measures alone (HOMA-IR and QUICKI). Log (ISI 0,120 ) currently showing the strongest association with SSPG than other estimates is adaptable for use in large studies of hypertension.

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Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

Cited by 18 publications

References 25 publications

Inuit anthropometry and insulin resistance

Inuit anthropometry and insulin resistance

Diámetro abdominal sagital: aplicaciones en la práctica clínica

Surrogate estimates of insulin sensitivity in subjects with hypertension

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