The Additive Interaction between Body Mass Index and Hypertension Family History in Han and Yugur: The China National Health Survey (CNHS)

Yu, Chengdong; Zhao, Hongjun; Pan, Li; Jia, Zhang; Wang, Xiaoyang; Chang, Lijun; Tuo, Ya; Xi, Jinen; Lü, Bin; Wang, Ye; Ren, Huiru; He, Huijing; Ren, Xiaolan; Shan, Guangliang

doi:10.1155/2019/8268573

Cited by 12 publications

(9 citation statements)

References 36 publications

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“…Compared with Han people, the dietary pattern of Yugur people tends to be traditionally rich in beef, mutton, and alcohol, which might increase the risk of hypertension. Our previous study had confirmed that the prevalence of hypertension in Yugur was higher than in Han [6] . Therefore, identifying individuals who are at high risk of hypertension and establishing a risk prediction model will help to improve the efficiency of primary prevention strategies.…”

Section: Introductionmentioning

confidence: 88%

A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS)

Ren

Cui

et al. 2023

Chinese Medical Journal

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Background:The prevalence of hypertension is high among Chinese adults, thus, identifying non-hypertensive individuals at high risk for intervention will help to improve the efficiency of primary prevention strategies.Methods:The cross-sectional data on 9699 participants aged 20 to 80 years were collected from the China National Health Survey in Gansu and Hebei provinces in 2016 to 2017, and they were nonrandomly split into the training set and validation set based on location. Multivariable logistic regression analysis was performed to develop the diagnostic prediction model, which was presented as a nomogram and a website with risk classification. Predictive performances of the model were evaluated using discrimination and calibration, and were further compared with a previously published model. Decision curve analysis was used to calculate the standardized net benefit for assessing the clinical usefulness of the model.Results:The Lasso regression analysis identified the significant predictors of hypertension in the training set, and a diagnostic model was developed using logistic regression. A nomogram with risk classification was constructed to visualize the model, and a website (https://chris-yu.shinyapps.io/hypertension_risk_prediction/) was developed to calculate the exact probabilities of hypertension. The model showed good discrimination and calibration, with the C-index of 0.789 (95% confidence interval [CI]: 0.768, 0.810) through internal validation and 0.829 (95% CI: 0.816, 0.842) through external validation. Decision curve analysis demonstrated that the model was clinically useful. The model had a higher area under receiver operating characteristic curves in training and validation sets compared with a previously published diagnostic model based on Northern China population.Conclusion:This study developed and validated a diagnostic model for hypertension prediction in Gansu Province. A nomogram and a website were developed to make the model conveniently used to facilitate the individualized prediction of hypertension in the general population of Han and Yugur.

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Section: Introductionmentioning

confidence: 88%

A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS)

Ren

Cui

et al. 2023

Chinese Medical Journal

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“…If the 95% CIs of AP and SI did not include 0 and 1, respectively, then the additive interaction is presented. RERI, AP, and SI were estimated using the regression coefficients and a covariance matrix obtained from the logistic regression models ( 25 , 26 ). The delta method was used to calculate the 95% CIs of RERI, AP, and SI ( 25 , 27 ).…”

Section: Methodsmentioning

confidence: 99%

Joint Effect of Beer, Spirits Intake, and Excess Adiposity on Hyperuricemia Among Chinese Male Adults: Evidence From the China National Health Survey

Pan

Ren

et al. 2022

Front. Nutr.

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Alcohol intake and excess adiposity are associated with serum uric acid (SUA), but their interaction effect on hyperuricemia (HUA) remains unclear. Using data from the China National Health Survey (CNHS) (2012–2017), we analyzed the additive interaction of beer, spirits intake, excess adiposity [measured by body mass index (BMI), body fat percentage (BFP), and visceral fat index (VFI)] with HUA among male participants aged 20–80 from mainland China. The relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP), and the synergy index (SI) were calculated to assess the interaction effect on the additive scale. Both RERI and AP larger than 0 and SI larger than 1 indicate a positive additive interaction. Among 12,592 male participants, the mean SUA level was 367.1 ± 85.5 μmol/L and 24.1% were HUA. Overweight/obese men who were presently drinking spirits had an odds ratio (OR) of 3.20 (95%CI: 2.71–3.79) than the never drink group, with RERI, AP, and SI of 0.45 (95%CI: 0.08–0.81), 0.14 (95%CI: 0.03–0.25), and 1.25 (95%CI: 1.02–1.54), respectively. However, although combined exposures on beer intake and excess adiposity had the highest OR compared with no beer intake and nonobese participants, there was no additive interaction, with RERI, AP, and SI in the overweight/obesity and the beer intake group of 0.58 (−0.41–1.57), 0.17 (−0.08–0.41), and 1.30 (0.85–1.97), respectively. Other excess adiposity indexes revealed similar estimates. Our findings suggested that the exposures of both excess adiposity and alcohol drink could result in an additive interaction effect on HUA: the combined risk of excess adiposity with spirits intake but not with beer was greater than the sum of the effects among Chinese male adults.

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“…The Body Mass Index predicts the risk of hypertension in Western countries. [31] try to estimate the value of the Body Mass Index for Thailand in the period 2005-2013. The results show that there is a positive relationship between the Body Mass Index and hypertension in Thailand.…”

Section: Literature Reviewmentioning

confidence: 99%

The Prediction of Hypertension Risk

Massaro¹,

Giardinelli²,

Cosoli³

et al. 2022

SSRN Journal

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The Additive Interaction between Body Mass Index and Hypertension Family History in Han and Yugur: The China National Health Survey (CNHS)

Cited by 12 publications

References 36 publications

A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS)

A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS)

Joint Effect of Beer, Spirits Intake, and Excess Adiposity on Hyperuricemia Among Chinese Male Adults: Evidence From the China National Health Survey

The Prediction of Hypertension Risk

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