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Updated: May 8, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Association between anthropometric indices and hypertension: identifying optimal cutoff points for U.S. adults across
Xueliang Zhang1, Yan Nie2, Dan Li1
1Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Objective:
This study compares the relationships between five anthropometric indices, a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI) and waist-to-height ratio (WHtR), and hypertension, assessing their predictive capacities. The aim is to determine the specific numerical changes in hypertension incidence, systolic blood pressure (SBP) and diastolic blood pressure (DBP) for each increase in standard deviation of these indices, and to identify the optimal predictive indicators for different populations, including the calculation of cutoff values.
Methods:
This study used data from the NHANES datasets spanning 2007 to 2018. Logistic regression analysis was used to quantify the associations between these anthropometric indices and hypertension, calculating β coefficients and odds ratios (ORs). Receiver operating characteristic (ROC) analysis was used to evaluate the predictive ability of each index for hypertension.
Results:
For each increase in standard deviation in WC, BMI, WHtR, ABSI and BRI, the prevalence of hypertension increased by 33% (95% CI: 27%-40%), 32% (95% CI: 26%-38%), 35% (95% CI: 28%-42%), 9% (95% CI: 4%-16%) and 32% (95% CI: 26%-38%), respectively. The SBP correspondingly increased by 2.36 mmHg (95% CI: 2.16-2.56), 2.41 mmHg (95% CI: 2.21-2.60), 2.48 mmHg (95% CI: 2.28-2.68), 0.42 mmHg (95% CI: 0.19-0.66) and 2.46 mmHg (95% CI: 2.26-2.66), respectively. Similarly, DBP increased by 1.83 mmHg (95% CI: 1.68-1.98), 1.72 mmHg (95% CI: 1.58-1.87), 1.72 mmHg (95% CI: 1.57-1.88), 0.44 mmHg (95% CI: 0.27-0.62) and 1.64 mmHg (95% CI: 1.48-1.79). In the youth and middle-aged groups, WC had the best predictive ability, with AUCs of 0.749 and 0.603, respectively. Among the elderly group, the AUCs for all five indices ranged between 0.5 and 0.52.
Conclusion:
Increases in WC, BMI, WHtR and BRI are significantly associated with higher incidences of hypertension and increases in SBP and DBP, while the impact of ABSI on blood pressure is relatively weak. Stratified analysis indicates significant age-related differences in the predictive value of these indices, with the strongest associations observed in the youth group, followed by the middle age group, and the weakest in the elderly. WC demonstrates excellent predictive ability across youth populations.
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Hypertension and Regulation of Blood Pressure
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Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
Pre-Procedural Guidelines for Assessing Blood Pressure
Factors affecting Blood pressure
Physiological Factors:
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Prepare for the Procedure:
Assessment of blood pressure in brachial artery(two-step method)