Association of adiposity indices with prehypertension among Chinese adults: A cross‐sectional study

Xiao, Mengyuan; Chen, Chaolei; Wang, Jiabin; Cai, Anping; Zhou, Dan; Liu, Guangyan; Feng, Yingqing

doi:10.1111/jch.14622

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…It is worth noting that the calculation of the new anthropometric index BRI is complex compared to traditional AHIs with the addition of WC and Height, but better re ects visceral adipose tissue and body fat [26]. Several cross-sectional studies have shown that BRI levels exhibit strong associations with blood pressure in Mexican populations [30]; another study based on a Chinese population similarly showed a strong correlation between BRI and the development of hypertension in non-obese populations [20]; Wu et al demonstrated that among non-Hispanic whites, non-Hispanic blacks, and other populations, only non-Hispanic whites had a strong association between BRI and hypertension (P for interaction < 0.05) [31]; Xiao et al also noted that the strength of the association between BRI and hypertension was greater in men and urban populations compared with women and rural populations (P < 0.05) [32]. The results of a longitudinal study based in China showed that the risk of hypertension increased with increasing BRI, and the risk of new-onset hypertension was greater in participants < 40 years of age (P for interaction < 0.05) [26].…”

Section: Disscussionmentioning

confidence: 99%

Body roundness index and risk of developing hypertension: A prospective cohort study in southwest China

Zhan,

Liu,

Wang

et al. 2024

Preprint

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Background Body roundness index (BRI) is an obesity-related anthropometric index that combines waist circumference (WC) and height to better reflect body fat. This study aims to prospectively explore the relationship between BRI and the risk of hypertension based on a population cohort of the Chinese Western region. Methods The study data came from a natural population cohort of Guizhou province established in 2010, and a total of 9,280 people in 48 townships in 12 districts (counties) were surveyed at baseline using multistage stratified randomized whole cluster sampling. Follow-up surveys were completed from 2016 to 2020, and after excluding deaths, lost visits, baseline hypertension, unclear follow-up hypertension diagnosis, and missing relevant variables, a final 5,230 people entered the analysis. Cox proportional risk models were used to analyze the association between BRI and the development of hypertension and to calculate hazard ratios (HRs) and 95% CIs. Analyzing the relationship between BRI and time to onset of hypertension using the time failure acceleration model. Results The total person-years (PYs) of follow-up were 36,950.24 years, with a median follow-up time of 6.64 years. During the follow-up period 1157 study subjects developed new hypertension with an incidence density of 31.31/1000 PYs. After adjusting for confounding variables, BRI increased the risk of hypertension by 17% per unit increase (HR = 1.17,95% CI: 1.108–1.235, P trend < 0.001). Compared with the population in the first quartile (Q1) of BRI, the risk of hypertension in the population in the third quartile (Q3) and fourth quartile (Q4) is 1.309 (95% CI: 1.1-1.558) and 1.534 (95% CI: 1.282–1.837), respectively. For each unit increase in BRI, the onset of hypertension is advanced by 0.255 years (95% CI: -0.348-0.162). Conclusion There is a significant correlation between elevated body mass index (BRI) and an increased propensity for hypertension, BRI could serve as a valuable instrument for weight management among individuals already diagnosed with hypertension.

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Section: Disscussionmentioning

confidence: 99%

Body roundness index and risk of developing hypertension: A prospective cohort study in southwest China

Zhan,

Liu,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

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Association of adiposity indices with prehypertension among Chinese adults: A cross‐sectional study

Xiao

Chen

Wang

et al. 2023

J of Clinical Hypertension

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The association of adiposity indices with prehypertension remains unclear in the Chinese non‐hypertensive population. This study aimed to compare the association of adiposity indices, including waist circumference (WC), waist‐to‐height ratio, body roundness index (BRI), a body shape index (ABSI), and conicity index (CI), and prehypertension in the Chinese population. We recruited 61 475 participants from a population‐based screening project in Guangdong province, China. Multiple logistic regression analyses were performed to detect the association between the six adiposity indices and prehypertension. Receiver operator characteristic curve (ROC) analysis was used to evaluate the predictive values of adiposity indices to prehypertension. The individuals were divided into two categories by blood pressure (BP) levels: normotension (<120/80 mmHg) and prehypertension (120–139/80–89 mmHg). A total of 33 233 people had prehypertension, with a prevalence of 54.04% and 42% males. Both logistics regression models presented a positive association between each adiposity index and prehypertension (p < .05), except for ABSI. The body mass index (BMI) was slightly more correlated with prehypertension than any other index. The standardized ORs for the six indices were 1.392, 1.361, 1.406, 1.039, 1.372, and 1.151, respectively. Compared to other adiposity indices, the WC had a significantly higher area under the curve (AUC) for predicting prehypertension (AUC: .619, sensitivity: 57%, specificity: 60.6%). In conclusion, WC and BMI might be the best indicators for prehypertension. Increasing evidence supports avoiding obesity as a preferred primary prevention strategy for prehypertension while controlling other major hypertension risk factors.

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Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study

Qin,

Chen,

Wang

et al. 2023

BMC Cardiovasc Disord

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Background Cardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) with CMM among Chinese adults. Methods Data of 101,973 participants were collected from a population-based screening project in Southern China. CMM was defined as having two or more of the following diseases: coronary heart disease, stroke, hypertension, and diabetes. The relationship between the six adiposity indices and CMM was investigated by multivariate logistic regression and restricted cubic splines. Receiver operator characteristic curve, C-statistic and net reclassification index were used to estimate the discriminative and incremental values of adiposity indices on CMM. Results Logistic regression models showed the six adiposity indices were all significantly associated with the odds of CMM with non-linear relationships. For per SD increment, WC (Odds ratio [OR]: 1.66; 95% confidence interval (CI): 1.62–1.70) and WHtR (OR, 1.61; 95% CI, 1.58–1.65) were more significantly associated with a higher prevalence of CMM than BMI (OR, 1.55; 95% CI, 1.52–1.58) (all P < 0.05). In addition, WC, WHtR, and BRI displayed significantly better performance in detecting CMM compared with BMI (all P < 0.05). Their respective area under the curve (AUC) values were 0.675 (95% CI: 0.670–0.680), 0.679 (95% CI: 0.675–0.684), and 0.679 (95% CI: 0.675–0.684), while BMI yielded an AUC of 0.637 (95% CI: 0.632–0.643). These findings hold true across all subgroups based on sex and age. When Adding WC, WHtR, or BRI to a base model, they all provided larger incremental values for the discrimination of CMM compared with BMI (all P < 0.05). Conclusions Adiposity indices were closely associated with the odds of CMM, with WC and WHtR demonstrating stronger associations than BMI. WC, WHtR, and BRI were superior to BMI in discriminative ability for CMM. Avoidance of obesity (especially abdominal obesity) may be the preferred primary prevention strategy for CMM while controlling for other major CMM risk factors.

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Association of adiposity indices with prehypertension among Chinese adults: A cross‐sectional study

Cited by 4 publications

References 33 publications

Body roundness index and risk of developing hypertension: A prospective cohort study in southwest China

Body roundness index and risk of developing hypertension: A prospective cohort study in southwest China

Association of adiposity indices with prehypertension among Chinese adults: A cross‐sectional study

Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study

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