Which anthropometric measurements is most closely related to elevated blood pressure?

Yalçın, Bektaş Murat; Şahin, Erkan Melih; Yalçın, Esra

doi:10.1093/fampra/cmi043

Cited by 50 publications

(42 citation statements)

References 26 publications

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“…Moreover, BMI and waist circumference are considered the markers of adiposity. The present study finding according to correlations between blood pressure and body mass index was supported by previous studies related to the fact that BMI and adiposity are strong independent determinants for blood pressure and the effects of central obesity (android obesity) on blood pressure (18). However, in another study, despite an increasing trend in abdominal obesity, decreasing trends were seen in HDL-c levels (29), The results of our study related to negative correlations between HDL-c and abdominal obesity according to body mass index and waist circumference are consistent with what was mentioned in that study (29).…”

Section: Discussionsupporting

confidence: 91%

“…Puberty in men, compared to women, with later onset can be another reason for lower blood pressure in men (17). Additionally, a progressive increase in the prevalence of HTN can be found with higher adipose tissue or waist circumference as another component of MetS (18). Body Mass Index (BMI) is considered an independent risk factor for HTN in women (18), rooting from steroid hormones and weight in women (19).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, a progressive increase in the prevalence of HTN can be found with higher adipose tissue or waist circumference as another component of MetS (18). Body Mass Index (BMI) is considered an independent risk factor for HTN in women (18), rooting from steroid hormones and weight in women (19). Studies have found that changes in weight and adipose tissue contents can affect insulin resistance.…”

Section: Introductionmentioning

confidence: 99%

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Role of Gender in the Prevalence of Metabolic Syndrome and Its Related Risk Factors in Shiraz Healthy Heart Center Population

Eftekhari¹,

Sohrabi²,

Parsa³

et al. 2015

Int Cardiovasc Res J

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obesity secondary to medication and genetic or endocrine disorders were excluded from the study. Weight and height were measured for calculating Body Mass Index (BMI). Waist circumference and blood pressure were measured, as well. Plasma glucose, serum High Density Lipoprotein-cholesterol (HDL-c), and Triglyceride (TG) were also analyzed. The presence of MetS was determined using Adult Treatment Panel-III (ATP-III) criteria. Results:The results showed significant correlations between age and waist circumference, Fasting Blood Sugar (FBS), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP). Moreover, statistically significant relationships were found between waist circumference and TG, SBP, DBP, and BMI. Significant correlations were also observed between FBS and TG, SBP, and DBP. Besides, there were strong correlations between TG and HDL-c, SBP, DBP, and BMI. Moreover, BMI, SBP, and DBP were significantly correlated. In addition, serum HDL-c was negatively associated with most of the variables. The prevalence of pre-diabetes, pre-hypertension, and hypertriglyceridemia was higher among males. On the other hand, the prevalence of hypertension, diabetes, high waist circumference, and MetS was significantly higher among the female participants. Conclusions: A better understanding of the role of gender in the prevalence of MetS is important in developing prevention and treatment strategies.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Role of Gender in the Prevalence of Metabolic Syndrome and Its Related Risk Factors in Shiraz Healthy Heart Center Population

Eftekhari¹,

Sohrabi²,

Parsa³

et al. 2015

Int Cardiovasc Res J

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“…This suggests that different environmental factors have a positive effect to the increase of the blood pressure. The present study is consistent with the findings reported by several studies [16,21].…”

Section: Discussionsupporting

confidence: 94%

Age specific relation in blood pressure with some anthropometrical variables of women in Latvia: a rural-urban comparison

Kažoka

Vētra

2013

PoA

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The aims of this study were to describe and compare the relationships between some variables of anthropometrical measurements and the blood pressure of women according to the age group categories in the urban and the rural population in Latvia. For this purpose 369 women (urban, 197 and rural, 172) were anthropometrically examined during the period of [2001][2002][2003][2004][2005]. The body height, the body weight, three circumferences (chest, waist, hip) and four skinfolds (biceps, triceps, subscapular, suprailiac) were measured. The body mass index (BMI) was calculated and studied. The difference between rural and urban women in systolic, diastolic and mean arterial blood pressure was found to be statistically significant. All the variables of the anthropometrical measurements and the age were significantly positive with blood pressure. The relationships between the variables of anthropometrical measurements and the age were assessed through the stepwise multiple regression analysis. All the anthropometrical variables appear as significant predictors of blood pressure and enter the regression equations in urban and rural populations of women in Latvia. Future studies, based on the interpretation of anthropometric measurements and their changes in the urban and rural women aged 21-45 years in Latvia, should also be carried out.

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“…It is possible that a particular body size will encourage acquisition of certain skills and force gravitation towards a specific playing position: this is likely to occur before maturity so that the individual will tend to favour one positional role before playing at senior level [32]. The waist to hip ratio (WHR) has been shown to be related to the risk of coronary heart disease [38,39,40]. Mid-upper arm circumference (MUAC) is a measure of nutritional status [38,41].…”

Section: Discussionmentioning

confidence: 99%

Anthropometric, Physical, Cardiorespiratory Fitness and Lipids and Lipoproteins Profile of Young Indian Children of 10-16 Years Age Group

Manna¹,

Pan²,

Chowdhury³

2014

AJSSM

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Sports talent may be identified from young children when they show interest in different sports.Anthropometric, physical, cardiorespiratory fitness and lipids profiles contribute to selection procedures. The present study was undertaken to investigate the anthropometric, physical, cardiorespiratiory fitness and lipids and lipoprotein profiles of 10-16 yrs children, in order to identify sports talent in them. A total of 225 male children of 10-16 yrs age volunteered for this study; were divided equally into 3 groups (i) Prepubertal (age-11.0 ± 0.8yrs, n=75); (ii) Pubertal (age 13.5 ± 0.5 yrs, n=75); (iii) Postpubertal (age 15.5 ± 0.5 yrs, n=75). Selected anthropometric, physical and cardiorespiratiory fitness variables were measured for each group. A significantly (P<0.05) greater height, body mass, BSA, LBM, mid upper arm circumference, hip and trunk flexibility, grip strengths, abdominal strength, elastic leg strength, maximum speed, peak power, VO 2max , FVC, FEV1, PEFR, blood pressure and serum HDL-C level were observed in Postpubertal children when compared to Prepubertal and Pubertal children. However, a significantly (P<0.05) lower percent body fat, reaction time, maximal heart rate, recovery heart rates and serum triglyceride level were noted in Postpubertal children when compared to Prepubertal and Pubertal children. The waist-hip ratio of pubertal children was noted significantly higher (P<0.05) when compared to prepubertal and postpurbertal children. No significant change was reported in BMI, resting heart rate, serum total cholesterol and LDL-C levels among the groups. Identification of children at early stage of their growth and development may produce elite athletes in the future. Talent identification also can be used as a counseling technique that helps to discover and explore areas of talent for particular athletes.

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Which anthropometric measurements is most closely related to elevated blood pressure?

Abstract: In primary care waist circumference should be a useful tool screening for and following android obesity in patients with elevated blood pressure.

Cited by 50 publications

References 26 publications

Role of Gender in the Prevalence of Metabolic Syndrome and Its Related Risk Factors in Shiraz Healthy Heart Center Population

Role of Gender in the Prevalence of Metabolic Syndrome and Its Related Risk Factors in Shiraz Healthy Heart Center Population

Age specific relation in blood pressure with some anthropometrical variables of women in Latvia: a rural-urban comparison

Anthropometric, Physical, Cardiorespiratory Fitness and Lipids and Lipoproteins Profile of Young Indian Children of 10-16 Years Age Group

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