scholarly journals P1-79 Association between changes in anthropometric measures through adolescence and cardiovascular risk factors at 17 years of age

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A89-A89
Author(s):  
J. Araujo ◽  
E. Ramos
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Anthropometric Measures

Abstract #604: Detection of Cardiovascular Risk Factors by Anthropometric Measures in Adults Living in an Urban Setting in Sri Lanka

2015 ◽  
Vol 21 ◽  
pp. 114-115
Author(s):  
Kavinga Gunawardane ◽  
Noel Somasundaram ◽  
Neil Thalagala ◽  
Pubudu Chulasiri ◽  
Sudath Fernando
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Sri Lanka ◽  
Cardiovascular Risk Factors ◽  
Urban Setting ◽  
Anthropometric Measures

Evaluation of Waist Circumference to Predict Cardiovascular Risk Factors in an Overweight Tehranian Population: Findings from Tehran Lipid and Glucose Study

2005 ◽  
Vol 75 (5) ◽  
pp. 347-356 ◽  
Author(s):  
Esmaillzadeh ◽  
Mirmiran ◽  
Azizi
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Waist Circumference ◽  
Cardiovascular Risk Factors ◽  
Age Groups ◽  
Anthropometric Measures ◽  
Predictive Values ◽  
Biochemical Analyses ◽  
Adequate Evidence

This study was conducted to evaluate the waist circumference (WC) cut-off points to predict cardiovascular risk factors in the overweight Tehranian population. Anthropometric measures, blood pressure, and biochemical analyses were evaluated for the 15,005 participants of the Tehran Lipid and Glucose Study. Three thousand sixty-five subjects aged 18–74 years with a body mass index of 25–29.9 were enrolled in this study. Abdominal obesity was defined as WC ≥ 102 cm for men and ≥ 88 cm for women. Sensitivity of WC ≥ 102 cm to detect various cardiovascular risk factors for men aged 35–54 years was between 5% and 14%, and for men aged 55–74 years, was between 12% and 19%. The specificity of this cut-off point was between 93% and 98% and between 86% and 96% for corresponding age-categories, respectively. WC ≥ 88 cm had a sensitivity of between 28% and 41% for identifying cardiovascular risk factors in women aged 18–34 years. Sensitivity tended to increase with age and specificity tended to decrease with age in both genders. These cut-off points had the highest positive predictive value for the more prevalent risk factors in both genders. The negative predictive values were different for various risk factors among age groups. The classic cut-off points of WC failed to provide adequate evidence for the use of WC in detecting cardiovascular risk factors. Further studies should be conducted to determine optimal WC cut-off points for Iranians.

scholarly journals Relationship between Anthropometric Measures and Cardiovascular Risk Factors in Children and Adolescents

2013 ◽  
Author(s):  
Miria Suzana Burgos ◽  
Leandro Tibiriçá Burgos ◽  
Marcelo Dias Camargo ◽  
Silvia Isabel Rech Franke ◽  
Daniel Prá ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Children And Adolescents ◽  
Cardiovascular Risk Factors ◽  
Anthropometric Measures

scholarly journals Fatores de Risco Cardiovascular e Medidas Antropométricas em Crianças e Adolescentes / Cardiovascular Risk Factors and Anthropometric Measures in Children and Adolescents

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Jayne Ramos Araujo Moura ◽  
Eugênio Barbosa de Melo Júnior ◽  
Mayara Vidal Torres Pimenta ◽  
Cyléa Abdalla de Miranda Silva ◽  
Ana Míria De Oliveira Batista ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Children And Adolescents ◽  
Cardiovascular Risk Factors ◽  
High Density ◽  
High Density Lipoproteins ◽  
Anthropometric Measures

O objetivo do estudo foi analisar a associação entre alterações nas medidas antropométricas e a frequência de fatores de risco cardiovascular em crianças e adolescentes. Estudo transversal, com amostra de 421 crianças e adolescentes. A coleta de dados foi realizada no período de agosto a novembro de 2014, por meio do preenchimento do formulário com informações referentes a identificação, aos aspectos socioeconômicos, às medidas antropométricas, à aferição da pressão arterial e de prática de atividades físicas, além de exames bioquímicos.Os principais resultados encontrados foram: 59,6% eram do sexo feminino, com idade média de 11,4 anos. Aqueles que apresentaram maiores índices de massa corporal e/ou circunferência da cintura alterada tinham mais chances de apresentar pressão arterial sistólica elevada, triglicerídeo elevado e high density lipoproteins – colesterol baixo.Conclui-se que aqueles que estavam acima do peso e/ou com excesso de adiposidade central apresentaram expressivas frequências de fatores de risco, como hipertensão arterial e desordens no perfil lipídico, para o desenvolvimento de doenças cardiovasculares.

Prevalence of cardiovascular risk factors among 28,000 employees

VASA ◽  
2017 ◽  
Vol 46 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Martin Scheerbaum ◽  
Constantin Langenbach ◽  
Petra Scheerbaum ◽  
Franziska Heidemann ◽  
Henrik C. Rieß ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Vascular Diseases ◽  
Lipid Lowering ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Screening Programs ◽  
The Mean

Abstract. Background: Cardiovascular diseases are the leading cause of death in Germany. The knowledge of causal risk factors and their distribution is of utmost importance to design screening programs. Probands and methods: In this cross-sectional study design we used STROBE criteria to achieve the highest comparability possible. Anthropometric measures (height and weight), total cholesterol, glucose level, and blood pressure were measured. Probands’ history was collected by using a standardized questionnaire. The data was age- and gender-adjusted for the working population 16 to 70 years of age, derived from the micro census, the 1 %-sample census of the German statistical office. For each study year weight factors were calculated. Logistic regression analysis was conducted regarding the cardiovascular risk factors: smoking, arterial hypertension, diabetes, hypercholesterolemia, and obesity. Results: Between 2006 and 2015 a total of 28,293 employees took part in the ongoing company screenings. The mean age was 42.3 years for both sexes (median: 43 years). The mean body mass index (BMI) was 25.6 kg/m2 (men: 26.5 kg/m2, women: 24.7 kg/m2). A history of hypertension was present in 16 % of the employees (men: 17.8 %, women: 13.8 %). Of the respondents 2 % suffered from diabetes (men: 2.4 %, women: 1.6 %). Lipid-lowering drugs were taken by 2.8 % of all employees (3.6 % men and 1.9 % women). 23.3 % of the men and women indicated to be active smokers. In the regression analysis obesity was associated with a four times higher risk of hypertension and a three times higher risk of elevated glucose levels, thus manifesting as main contributor for vascular diseases. Meanwhile the risk for obesity was 140 % higher in probands who are former smokers. Conclusions: We regard obesity as the number one cardiovascular risk which should be assessed by various medical, legislative, and socio-economic actions to limit future mortality and health-care costs in Germany.

scholarly journals Association of Anthropometric Measures with Cardiovascular Risk Factors and Metabolic Syndrome in Normal-Weight Children and Adolescents: The CASPIAN III Study

Obesity Facts ◽  
2013 ◽  
Vol 6 (5) ◽  
pp. 483-492 ◽  
Author(s):  
Mostafa Qorbani ◽  
Roya Kelishadi ◽  
Yasin Farrokhi-Khajeh-Pasha ◽  
Mohammad Motlagh ◽  
Tahere Aminaee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiovascular Risk ◽  
Children And Adolescents ◽  
Cardiovascular Risk Factors ◽  
Normal Weight ◽  
Anthropometric Measures

P2.28: The association between anthropometric measures and cardiovascular risk factors. Preliminary results of the Heinz Nixdorf Recall Study

2004 ◽  
Vol 46 (S1) ◽  
pp. 135-135
Author(s):  
Andreas Stang ◽  
Axel Schmermund ◽  
Susanne Moebus ◽  
Stefan Möhlenkamp ◽  
Nico Dragano ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Anthropometric Measures ◽  
Preliminary Results ◽  
Heinz Nixdorf Recall Study
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