scholarly journals ANTHROPOMETRIC INDICATORS AS PREDICTORS OF HIGH BLOOD PRESSURE IN YOUNG FEMALES OF NORTH INDIA

2018 ◽  
Vol 6 (1.3) ◽  
pp. 4977-4981
Author(s):  
Kamaljeet kaur ◽  
◽  
Sween Walia ◽  
Author(s):  
Martina Pintea-Trifu

Erectile dysfunction (ED) and premature ejaculation (PE) are among the most common male sexual dysfunctions. Meta-analytical studies and systematic reviews describe the frequently comorbid appearance of these two pathologies, being correlated with less favorable experiences with young females. People affected by these pathologies are more likely to have anxiety or depression and have a lower prevalence of organic comorbidities such as diabetes, high blood pressure or dyslipidemia (1,2).


Author(s):  
Keila De Oliveira Diniz ◽  
Saulo Vasconcelos Rocha ◽  
Antonio Cesar Cabral de Oliveira

DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n1p31 High blood pressure is a leading cause of mortality worldwide and a risk factor for several diseases. The aim of this study was to determine the predictive power of anthropometric indicators of obesity and establish their cutoff points as discriminators of hypertension and identify the anthropometric indicator of obesity that best discriminates high blood pressure in the elderly. This is a cross-sectional study with a sample of 300 older adults, 167 (56.5%) women. The following anthropometric indicators of obesity were measured: body mass index (BMI), waist circumference (WC), waist / height ratio (WHtR) and conicity index. Moreover, systolic and diastolic blood pressure measurements were collected. To identify hypertension predictors, the analysis of receiver operating curves (ROC) with 95% confidence interval was adopted. Subsequently, cutoff points with their respective sensitivities and specificities were identified. Analyses were carried out considering 5% significance level. It was observed that some anthropometric indicators of obesity showed area under the curve (AUC) significant with BMI = 0.60 (0.50 to 0.70); WHtR = 0.61 (0.51 to 0.71); conicity index = 0.58 (0.58 to 0.68) in men. The different cutoff points of anthropometric indicators with better predictive power and their respective sensitivities and specificities were identified. The best areas under the ROC curve were for BMI, WHtR and conicity index for men; however, such measures were not satisfactory to predict high blood pressure in women.


2013 ◽  
Vol 19 (4) ◽  
pp. 360-367 ◽  
Author(s):  
João de Souza Leal Neto ◽  
Raildo da Silva Coqueiro ◽  
Roberta Souza Freitas ◽  
Marcos Henrique Fernandes ◽  
Daniela Sousa Oliveira ◽  
...  

2018 ◽  
Vol 22 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Diego G.D. Christofaro ◽  
Breno Q. Farah ◽  
Luiz Carlos M. Vanderlei ◽  
Leandro D. Delfino ◽  
William R. Tebar ◽  
...  

2017 ◽  
Vol 50 (4) ◽  
pp. 237
Author(s):  
André De Araújo Pinto ◽  
Gaia Salvador Claumann ◽  
Lohana Cardoso Amaral ◽  
Andreia Pelegrini

Introdução: comportamentos como a inatividade física, sedentarismo e os maus hábitos alimentares adotados atualmente pelos adolescentes têm facilitado o desenvolvimento de doenças cardiovasculares destacando-se a hipertensão arterial. Modelo do estudo: estudo epidemiológico transversal de base escolar. Objetivo: analisar a prevalência de pressão arterial elevada (PAE) e sua associação com indicadores antropométricos. Métodos: participaram do estudo 202 adolescentes de São José-SC. Foram mensurados a massa corporal, estatura e perímetro da cintura (PerC), para cálculo dos indicadores antropométricos de Índice de Massa Corporal (IMC), Índice de Conicidade (ÍndiceC) e Razão Cintura/ Estatura (RCE). A pressão arterial foi mensurada por meio do aparelho digital Omron HEM 742. Resultados: a prevalência de PAE nos adolescentes foi de 10,9%. Aqueles com excesso de peso (OR= 5,68; IC95%= 1,99-16,24), e com PerC (OR=7,67; IC95%= 2,54-23,19) e RCE (OR= 5,88; IC95%= 1,71- 20,25) elevados tiveram maior chance de apresentar PAE quando comparados com seus respectivos pares com peso normal, PerC e RCE saudáveis. Conclusão: os resultados do presente estudo mostraram que um em cada dez adolescentes apresentou PAE, sendo que o IMC (excesso de peso), PerC e RCE (fora das recomendações de saúde) foram os indicadores que se associaram com o desfecho.


2013 ◽  
Vol 4 (3) ◽  
pp. 14-22
Author(s):  
Temsutola Maken ◽  
Lalmunlien Robert Varte

Objective: Hypertension is related to increased body fat, which can be evaluated by anthropometric indicators among the Aos, a tribe of North-East India. Methods: Cross-sectional study with a sample of 1804 Ao adults (male= 890) (females= 914) aged 18 to 70 years. We considered the following anthropometric indicators: body mass index, waist circumference, waist-tohip ratio and waist-to-stature ratio. To identify predictors of high blood pressure, we adopted the analysis of receiver operating characteristic curves with a confidence interval of 95%. Result: For males, the area under curve with confidence intervals were BMI = 0.691 (0.67-0.712); waist circumference=0.757 (0.739-0.775); waist-to-hip ratio=0.692 (0.671-0.713); waist-to-stature ratio = 0.763 (0.745-0.781) and Conicity index = 0.734 (0.716-0.716). For females, the values were BMI = 0.754 (0.732-0.776); waist circumference = 0.762 (0.74-0.784); waist-to-hip ratio = 0.690 (0.668-0.784), waist-to-stature ratio=0.776 (0.753-0.799) and Conicity index=0.722 (0.701-0.743). Different cut off points of anthropometric indicators with better predictive power and their relevant sensitivities and specificities were identified. Conclusion: BMI does not show a very good area under the ROC curve. It seems that waist-to-stature ratio is the best predictor, followed by waist circumference and Conicity index among the males and results in high sensitivity and specificity to hypertension. We suggest the use of both waistto- stature ratio and waist circumference to predict hypertension among males. Among females, waist-to-stature ratio is the best predictor, followed by waist circumference and body mass index. DOI: http://dx.doi.org/10.3126/ajms.v4i3.6275 Asian Journal of Medical Sciences 4(2013) 15-22


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