Estimation model for habitual 24-hour urinary-sodium excretion using simple questionnaires from normotensive Koreans

Ji-Sook Kong, Yeon-Kyung Lee, Mi Kyung Kim, Mi-Kyeong Choi, Young-Ran Heo, Taisun Hyun, Sun Mee Kim, Eun-Soon Lyu, Se-Young Oh, Hae-Ryun Park, Moo-Yong Rhee, Hee-Kyong Ro and Mi Kyung Song

PLOS ONE, 2018, vol. 13, issue 2, 1-15

Abstract: This study was conducted to develop an equation for estimation of 24-h urinary-sodium excretion that can serve as an alternative to 24-h dietary recall and 24-h urine collection for normotensive Korean adults. In total, data on 640 healthy Korean adults aged 19 to 69 years from 4 regions of the country were collected as a training set. In order to externally validate the equation developed from that training set, 200 subjects were recruited independently as a validation set. Due to heterogeneity by gender, we constructed a gender-specific equation for estimation of 24-h urinary-sodium excretion by using a multivariable linear regression model and assessed the performance of the developed equation in validation set. The best model consisted of age, body weight, dietary behavior (‘eating salty food’, ‘Kimchi consumption’, ‘Korean soup or stew consumption’, ‘soy sauce or red pepper paste consumption’), and smoking status in men, and age, body weight, dietary behavior (‘salt preference’, ‘eating salty food’, ‘checking sodium content for processed foods’, ‘nut consumption’), and smoking status in women, respectively. When this model was tested in the external validation set, the mean bias between the measured and estimated 24-h urinary-sodium excretion from Bland-Altman plots was -1.92 (95% CI: -113, 110) mmol/d for men and -1.51 (95% CI: -90.6, 87.6) mmol/d for women. The cut-points of sodium intake calculated based on the equations were ≥4,000 mg/d for men and ≥3,500 mg/d for women, with 89.8 and 76.6% sensitivity and 29.3 and 64.2% specificity, respectively. In this study, a habitual 24-hour urinary-sodium-excretion-estimation model of normotensive Korean adults based on anthropometric and lifestyle factors was developed and showed feasibility for an asymptomatic population.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0192588

DOI: 10.1371/journal.pone.0192588

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