Different adiposity indices and their associations with hypertension among Chinese population from Jiangxi province

Hu, Lihua; Hu, Guiping; Huang, Xiao; Zhou, Wei; You, Chunjiao; Li, Juxiang; Li, Ping; Wu, Qinghua; Wang, Zengwu; Gao, Runlin; Bao, Huihui; Cheng, Xiaoshu

doi:10.1186/s12872-020-01388-2

Cited by 23 publications

(27 citation statements)

References 33 publications

(45 reference statements)

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“…Regarding to gender-speci c effect of adiposity indices for hypertension, we found that female were more likely in higher risk of hypertension incidence than male in line with previous studies (25,26). Those results could be explained by the following points.…”

Section: Discussionsupporting

confidence: 90%

“…It is con rmed that metabolic health is a transient phenotype. Subgroups of obese individuals with metabolic abnormalities or not may have different risk of cardiovascular disease (CVD) (25,26). On the other hand, metabolically unhealthy individuals are at high risk of CVD irrespective of BMI (27).While the association between obesity and the metabolic status (MS) has been widely studied, it is still proposed merely a dose-response relationship (27)(28)(29).…”

Section: Introductionmentioning

confidence: 99%

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Gender-specific Predictive Ability for the Risk of Hypertension Incidence Related to Baseline Level or Trajectories of Adiposity Indices: Cohort Study of Functional Community in Beijing Urban from 2015 to 2019 year

Lu¹,

Dong²,

Sun³

et al. 2020

Preprint

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Background: Early prevention of hypertension is important for global cardiovascular disease morbidity and mortality. The current study aims to exploit better predictor for hypertension incidence related to baseline level or trajectories of adiposity indices, as well as the gender-specific effect.Methods: 6085 subjects from a functional community cohort in urban Beijing participated in our study. Restricted cubic splines were used to estimated nonlinear associations of BMI and WHtR as continuous variable with risk of hypertension. Stepwise logistic regression model was performed to estimate the RRs of adiposity indices and metabolic status, adjusted for covariates. Nomogram models and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive power of BMI trajectory groups and WHtR trajectory groups. Further, all analysis were performed by gender.Results: The risk of hypertension incidence was significant related to BMI trajectory groups (persistent overweight: RR=1.99, 95%CI: 1.57-2.52; persistent obese: RR=3.07, 95%CI: 2.40-3.93; persistent the highest: RR=4.55, 95%CI: 3.37-6.14) and WHtR trajectory groups (persistent medium: RR=2.90, 95%CI: 2.23-3.77; persistent high: RR=4.48, 95%CI: 3.41-5.89; increasing to higher: RR=7.77, 95%CI:5.48-11.0). In total population, BMI trajectories and WHtR trajectories showed similar ability to predict the risk of hypertension incidence with AUC 0.713 and 0.720, respectively. After stratified by gender, BMI trajectories showed higher power in female than male butsimilar in WHtR trajectories (BMI trajectories: 0.762 vs. 0.662; WHtR trajectories: 0.769 vs. 0.663). Conclusions: BMI and WHtR trajectories have higher predictive power for hypertension incidence compared to baseline data. Women are more vulnerable to obese and abnormal MS than man.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Gender-specific Predictive Ability for the Risk of Hypertension Incidence Related to Baseline Level or Trajectories of Adiposity Indices: Cohort Study of Functional Community in Beijing Urban from 2015 to 2019 year

Lu¹,

Dong²,

Sun³

et al. 2020

Preprint

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“…In addition, we found that the VFA's advantage in identifying hypertension in women was gradually replaced by BMI with age. The reason for this change might be related to the secretion of free fatty acids and angiotensinogen, and sympathetic nervous system activation [ 35 ], which could slowly decrease the influence of visceral fat. Given the superiority of VFA in identifying females with hypertension, the mechanism of visceral fat's influence on female hypertension is worthy of further study.…”

Section: Discussionmentioning

confidence: 99%

Comparison of bioelectrical body and visceral fat indices with anthropometric measures and optimal cutoffs in relation to hypertension by age and gender among Chinese adults

Zhang

Fan

Wang

et al. 2021

BMC Cardiovasc Disord

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Background Few studies have compared bioelectrical body and visceral fat indices with anthropometric measures, or evaluated their optimal cutoffs in relation to hypertension among Asians. We compared the efficiencies of bioelectrical indices (percentage of body fat, PBF; visceral fat area, VFA) with anthropometric measures (body mass index, BMI; waist-hip ratio, WHR) for hypertension and re-evaluated the optimal cutoffs of each index by age and gender. Methods We conducted a cross-sectional survey among 8234 adults for health examination. PBF, VFA, BMI, WHR, and data on hypertension and behaviors were collected. Receiver operating characteristic (ROC) curve and areas under curves (AUCs) were used to analyze the efficiencies of the indices for hypertension, optimal cutoffs were estimated using the Youden index. Results A total of 8234 individuals aged 21–91 with median age 44 (interquartile range [IQR] 33–56) years were included and 40.56% were men. The overall prevalence of hypertension was 27.47%. The studied indices were all associated with hypertension in all age-specific groups both among men and women except for WHR in 21–29 years old men and PBF in in 21–29 years old women. Among males, there were no statistical differences in powers of four indices for hypertension in all age-specific groups, except for 40–49 years, in which WHR was better than VFA. Among females, no differences were found among the indices in 30–39 and 70–79 years groups, while WHR was the best in 21–29 years group, VFA was better than PBF in 30–39 and 50–59 years groups, BMI was better than PBF and WHR in 60–69 years group. The optimal cutoffs of PBF, VFA, BMI and WHR ranged from 23.9 to 28.7%, 86.4 to 106.9cm2, 23.5 to 27.1 kg/m2, 0.92 to 0.96 across the age categories in males, and 32.8 to 36.3%, 75.9 to 130.9cm2, 21.9 to 26.4 kg/m2, 0.84 to 0.95 across the age categories in females, respectively. Conclusions The obesity indices’ efficiencies for hypertension varied by age and gender, and their cutoff values varied across the age categories and gender. Specific indices and cutoffs based on person’s age and gender should be used to identify individuals with hypertension.

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“…Since then, ABSI has received more and more attention. Subsequent studies revealed the relationship between ABSI and arterial stiffness [19], carotid atherosclerosis [20], hypertension [21], metabolic syndrome [22], diabetes and CVD [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Association between a body shape index and abdominal aortic calcification in the general population: National Health and Nutrition Examination Survey 2013-2014

Wang

Xie

et al. 2022

Preprint

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Background: The relationship between a body shape index (ABSI) and abdominal aortic calcification (AAC) is still unclear, so we tried to prove the relationship between ABSI and AAC in the general population free from cardiovascular disease. Methods: The present study included 3140 participants aged 40-80 years from the 2013-2014 National Health and Nutrition Examination Survey. Logistic regression analysis and Receiver Operating Characteristic (ROC) curves were used to tested the association between ABSI and AAC. Results: Participants with higher ABSI showed significantly higher proportion of AAC. Participants with higher ABSI had an increased risk of developing AAC in the crude model (ABSI as a continuous variable: OR = 2.485, 95% CI: 2.099-2.942, P < 0.001; as a categorical variable: OR = 2.132, 95% CI: 1.826-2.489, P < 0.001), while higher ABSI remained to be an independent risk predictor of AAC with the increase of confounding factors (all adjusted P < 0.05). Further subgroup analyses showed that higher ABSI (regarding lower ABSI as reference) was consistently positively correlated with AAC in eleven subgroups, including sex, age, smoking history, hypertension, diabetes, sleep disorder, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose and low-density lipoprotein cholesterol (P for interaction > 0.05). However, in the osteoporosis and hemoglobin A1c subgroups, the correlation was no longer synchronized (P for interaction < 0.05). The ROC curves analysis showed that the discriminant ability of ABSI was significantly higher than that of other models. Conclusions: Independent of the related confounding factors, higher ABSI was significantly associated with higher prevalent AAC in the general population free from cardiovascular disease.

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Different adiposity indices and their associations with hypertension among Chinese population from Jiangxi province

Cited by 23 publications

References 33 publications

Gender-specific Predictive Ability for the Risk of Hypertension Incidence Related to Baseline Level or Trajectories of Adiposity Indices: Cohort Study of Functional Community in Beijing Urban from 2015 to 2019 year

Gender-specific Predictive Ability for the Risk of Hypertension Incidence Related to Baseline Level or Trajectories of Adiposity Indices: Cohort Study of Functional Community in Beijing Urban from 2015 to 2019 year

Comparison of bioelectrical body and visceral fat indices with anthropometric measures and optimal cutoffs in relation to hypertension by age and gender among Chinese adults

Association between a body shape index and abdominal aortic calcification in the general population: National Health and Nutrition Examination Survey 2013-2014

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