Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study

Wang, Qing; Wang, Zhuoqun; Yao, Wei; Wu, Xiaohu; Huang, Jingjing; Huang, Lei; Sun, Yingxian

doi:10.12659/msm.908257

Cited by 11 publications

(8 citation statements)

References 33 publications

(30 reference statements)

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“…Inconsistent with our findings, some cross-sectional studies have indicated that other obesity indices better predict hypertension than WHR and WHtR. For instance, In some studies, BMI and WC have been suggested to better predict HTN [ 35 , 43 , 44 ]. BMI cannot distinguish between fat mass and muscle mass, leading to underestimating health risks; therefore, using only height and weight to screen for health risks is becoming obsolete [ 45 ].…”

Section: Discussionsupporting

confidence: 83%

Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study

et al. 2022

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Background Obesity is one of the major determinants of blood pressure. This study aimed to determine the optimal sex- and age-specific cut-off points of anthropometric indices, including body mass index (BMI), waist circumference (WC), hip circumference (HC), wrist circumference (WrC), waist-hip ratio (WHR), and waist-height ratio (WHtR), to screen for hypertension (HTN) in a cohort of Iranian adults aged 35 to 70 years, and to compare the predictive performance of the indices based on receiver operating characteristic (ROC) curves. Methods This population-based study was carried out on the participants aged 35 to 70 years of the Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Using the area under the receiver operating characteristic curve (AUC) and Youden's J index, optimal sex- and age-specific cut-off points of the anthropometric indices in association with HTN were calculated. Results This study included a total of 2256 females and 1722 males. HTN was diagnosed in 736 females (32.6%) and 544 males (31.6%). The optimal cut-off of WC for HTN was 90 cm in males and 95 cm in females, with an area under the ROC curve (AUROC) of 0.60 and 0.64, respectively. For HC, the optimal cut-off was 95 cm for males and 108 cm for females (AUROC = 0.54 for both). Moreover, WrC optimal cut-offs were 17 cm for males (AUROC = 0.56) and 15 cm for females (AUROC = 0.57). As for BMI, the optimal cut-off was 25 kg/m2 in males and 27 kg/m2 in females (AUROC of 0.59 and 0.60, respectively). Also, a cut-off of 0.92 was optimal for WHR in males (AUROC = 0.64) and 0.96 in females (AUROC = 0.67). On the other hand, WHtR optimal cut-offs were 0.52 for males and 0.60 for females (AUROC of 0.63 and 0.65, respectively). Conclusions WHR and WHtR, as anthropometric indices of obesity, were demonstrated to be significant predictors of HTN. Further, we suggest using WHR (cut-off point of 0.92 for males and 0.96 for females) and WHtR (cut-off point of 0.52 for males and 0.60 for females) as measures of preference to predict HTN among the southern Iranian population. Further multicenter longitudinal studies are recommended for a more accurate prediction of HTN.

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Section: Discussionsupporting

confidence: 83%

Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study

et al. 2022

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“…The investigation of Karthikeyan et al [ 60 ] highlighted that failure of the MMP/TIMP system (through plasma and genetic alterations) for controlling the extracellular matrix remodeling may lead to gestational hypertension and preeclampsia. Furthermore, vascular remodeling disorders of the uterine and placenta hypoperfusion have been generally recognized in prior years [ 61 ]. A number of studies have evaluated the key role of matrix metalloproteinase-2 and -9 in healthy [ 62 , 63 , 64 , 65 ] and complicated pregnancies [ 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 ].…”

Section: Impaired Types I and Iv Collagen Turnover In Preeclampsiamentioning

confidence: 99%

Role of Gelatinases MMP-2 and MMP-9 in Healthy and Complicated Pregnancy and Their Future Potential as Preeclampsia Biomarkers

Николов

Popovski

2021

Diagnostics

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Gelatinases (matrix metalloproteinase-2 and -9) are enzymes from the matrix metalloproteinases (MMPs) family, which are associated with collagen degradation. MMP-2 is capable of cleaving gelatine, types I and IV collagens, while MMP-9 is incapable of direct proteolysis of collagen I and digests collagen type IV. MMP-2 and -9 are both important regulators of vascular and uterine remodeling in a healthy pregnancy. Alterations in the collagen structure of the uterus and spiral arteries are observed in women with hypertensive disorders of pregnancy. Dysregulation of MMP-2 and MMP-9 has been implicated in abnormal vasodilation, placentation, and uterine expansion in preeclampsia. Early preeclampsia detection is paramount for risk stratification and prevention of further complications. Understanding the role of MMP-2 and-9 in uteroplacental and vascular remodeling could help design new approaches for prediction and management of preeclampsia. This review presents a general survey of MMP-2 and MMP-9 faulty regulation and impaired collagen types I and IV turnover in complicated pregnancies. Their potential role as circulating markers for diagnosis, prognosis, and monitoring of preeclampsia development is discussed as well.

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“…Moreover, a body shape index (ABSI) and body roundness index (BRI) are new comprehensive adiposity indices for estimating body fat distributions 12 . The relationship between prehypertension and some obesity anthropometric indices has been studied in some countries and regions, but the optimal adiposity indices to predict prehypertension remains uncertain and controversial 13–15 . Furthermore, there is a lack of studies comparatively examining the association of ABSI and BRI with prehypertension.…”

Section: Introductionmentioning

confidence: 99%

“… 12 The relationship between prehypertension and some obesity anthropometric indices has been studied in some countries and regions, but the optimal adiposity indices to predict prehypertension remains uncertain and controversial. 13 , 14 , 15 Furthermore, there is a lack of studies comparatively examining the association of ABSI and BRI with prehypertension. Additionally, no research has compared the discriminatory power of obesity‐related indicators for prehypertension in a single large Chinese population.…”

Section: Introductionmentioning

confidence: 99%

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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Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study

Cited by 11 publications

References 33 publications

Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study

Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study

Role of Gelatinases MMP-2 and MMP-9 in Healthy and Complicated Pregnancy and Their Future Potential as Preeclampsia Biomarkers

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

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