Hypertension and its correlate with general and central adiposity: A study among urban population of Delhi

Dhall, Meenal; Devi, Kshetrimayum Surmala; Nilupher,; Gupta, Urvashi; Tyagi, Renu; Kapoor, Satwanti

doi:10.1016/j.dsx.2018.05.008

Cited by 7 publications

(18 citation statements)

References 17 publications

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“…Respondents who have a body mass index ≥ 25 kg / m 2 or are categorized as obese have a 5.2 times greater risk of suffering from hypertension when compared to respondents who have normal weight. The results of this study are in line with previous studies that there is a linear relationship between body mass index and blood pressure 22,23 .…”

Section: Table 3 Distribution Of Body Mass Index Waist Circumferencsupporting

confidence: 92%

The Relationship of the Body Mass Index and Waist Circumference With Blood Pressure at Karang Asam Public Health Center Samarinda

Dewi

Furqon²,

Danial³

2020

J. Ilmu Kesehat.

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Hypertension is the most common cause of cardiovascular disease and it is a major problem in both developed and developing countries. Obesity is one of the main risk factors of hypertension. Hypertension and obesity are health problems which its prevalence is continues to increase in Indonesia. The anthropometric index that can be used to determine nutritional status are the body mass index (BMI) and waist circumference measurement. This study was an observational analytic with cross sectional method. The sample of this study was 275 respondent who were selected using the consecutive sampling method in Karang Asam public health center Samarinda. Data of this study were obtained from direct measurement of height, weight, waist circumference and blood pressure of respondent and data were analyzed by using chi square test. The result of statistical test showed that there was relationship between body mass index (p = 0,000 ; OR= 5,234 ; 95% CI= 3,090-8,865) and waist circumference (p = 0,000; OR=5,489 ; 95% CI= 3,233 – 9,318) with blood pressure. There was a significant relationship between body mass index and waist circumference with blood pressure at Karang Asam Public Health Center Samarinda.

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Section: Table 3 Distribution Of Body Mass Index Waist Circumferencsupporting

confidence: 92%

The Relationship of the Body Mass Index and Waist Circumference With Blood Pressure at Karang Asam Public Health Center Samarinda

Dewi

Furqon²,

Danial³

2020

J. Ilmu Kesehat.

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“…This result is in agreement with those reported previously [ 33 , 34 ]. In contrast, other studies have reported that central obesity and general obesity are associated with hypertension [ 15 , 17 ]. These differences suggest the need for large-scale epidemiological data to be gathered across different ethnic groups to redefine the cut-off points for these anthropometric and BIA measures.…”

Section: Discussionmentioning

confidence: 82%

Comparative Assessment of the Utility of Anthropometric and Bioelectrical Impedance Indices as Potential Predictors of Hypertension within a Ghanaian Adult Population: A Cross-Sectional Study

Boakye

Adedia

Hunkpe

et al. 2022

International Journal of Hypertension

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Background. Hypertension is an important public health concern that is claiming millions of lives worldwide. In sub-Saharan African countries, where some of the highest prevalence rates are being recorded, sufficient attention has not been given to its control. Objective. The aim of this study was to determine the association and predictive potential of different anthropometric and bioelectrical impedance analysis (BIA) measures for hypertension. Methods. A total of 812 individuals (204 men and 608 women) were enrolled, and their blood pressure measurement was determined. Direct anthropometric measures (weight, height, waist circumference (WC), and hip circumference) and derived anthropometric measures (body mass index, conicity index, abdominal volume index (AVI), and body adiposity index) were determined. BIA indices investigated included visceral fat level (VF), percentage body fat (%BF), resting metabolic rate (RMR), and skeletal muscle mass. Results. A prevalence of 31.28% was observed for hypertension in the total study population, with males having a slightly higher prevalence than females. Except for the skeletal muscle mass, all the other indices measured showed an increasing trend from normotension to prehypertension and hypertension. Age and visceral fat level showed the highest correlation with systolic blood pressure for both genders. Receiver operator characteristic analysis showed that age was the best predictor of hypertension in both genders, whereas, in predicting prehypertension, RMR was the best predictor in males, and WC was the best predictor in females. VF, WC, and AVI were other good predictors of hypertension in this study population. However, BMI and % BF had a low predictive value for hypertension. Conclusion. The result of this study shows that within this study population in addition to age, measures of central obesity rather than general obesity are the likely drivers of the hypertension epidemic; thus, measures aimed at controlling central obesity may offer some therapeutic and preventive advantage.

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“… Ponderal index (PI): weight (kg)/height 3 (cm) [ 20 ]. Body roundness index (BRI): 364.2 − 365.5 × {1 − [(WC (m)/2 π )/(0.5 × height (m)] 2 } 0.5 [ 17 – 19 ] Body adiposity index (BAI): {hip circumference (cm)/height (m) 1.5 } − 18 [ 18 , 20 , 23 ]. A body shape index (ABSI, m 11/6 kg −2/3 ): WC (m)/[BMI 2/3 (kg/m 2 )] [height 1/2 (m)] [ 17 , 23 ].…”

Section: Methodsmentioning

confidence: 99%

“…Body roundness index (BRI): 364.2 − 365.5 × {1 − [(WC (m)/2 π )/(0.5 × height (m)] 2 } 0.5 [ 17 – 19 ]…”

Section: Methodsmentioning

confidence: 99%

“…However, emergent markers such as the body roundness index (BRI) have been suggested as an alternative for WHtR [ 13 ], because it possesses a predictive capacity for CVD [ 14 , 15 ], principally for HTN [ 14 , 16 , 17 ]. In addition, the body adiposity index (BAI), abdominal volume index (AVI), body shape index (ABSI), or conicity index (CI) could have a predictive ability for evaluating HTN [ 16 – 19 ], while the ponderal index (PI) could do the same for preHTN [ 20 ]. The emergent anthropometric measurements are suggested to assess the risk of morbidity and mortality in the population given the fact that they are simple, inexpensive, and noninvasive tools.…”

Section: Introductionmentioning

confidence: 99%

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Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex

Zaragoza-García

Gutiérrez-Pérez

Floody

et al. 2022

International Journal of Hypertension

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Background. Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults. Methods. A cross-sectional study was conducted in 1,150 participants aged 18–80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values’ upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN. Results. The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08, p < 0.001 ) and conicity index (CI) (OR = 1.37, p = 0.044 ) were associated with preHTN, while CI (OR = 2.47, p < 0.001 ) and waist to height squared (W/Ht2) (OR = 2.19, p < 0.001 ) were associated with HTN. Furthermore, in both sexes, BRI was the main predictor of preHTN (AUC: 0.634 and 0.656, respectively). Particularly, according to sex and age range, the predictive emergent anthropometric indices in men were the body shape index (ABSI) and waist to height cubic (W/Ht3) (AUC = 0.777 and 0.771, respectively), whereas in women, the predictors were CI and ABSI (AUC = 0.737 and 0.729, respectively). In men ≤40 years old, central body fat indices were predictors of preHTN and HTN, but in men >40 years old, the predictor indices were W/Ht3 and W/Ht2. In women ≤40 years, the pulse mass index (PMI) was the best main predictor (AUC = 0.909) of HTN. Conclusion. CI, PMI, W/Ht3, W/Ht2, and ABSI could represent differential predictors of preHTN and HTN between men and women according to age range.

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Hypertension and its correlate with general and central adiposity: A study among urban population of Delhi

Cited by 7 publications

References 17 publications

The Relationship of the Body Mass Index and Waist Circumference With Blood Pressure at Karang Asam Public Health Center Samarinda

The Relationship of the Body Mass Index and Waist Circumference With Blood Pressure at Karang Asam Public Health Center Samarinda

Comparative Assessment of the Utility of Anthropometric and Bioelectrical Impedance Indices as Potential Predictors of Hypertension within a Ghanaian Adult Population: A Cross-Sectional Study

Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex

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