Bahadoran Zahra, Mirmiran Parvin, Norouzirad Reza, Ghasemi Asghar, Azizi Fereidoun
Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Biochemistry, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran.
Nutr Metab (Lond). 2022 Mar 15;19(1):19. doi: 10.1186/s12986-022-00658-4.
We aimed to estimate salt intake among an Iranian population using spot urine-based equations and a dietary-based method.
Adult men and women (n = 2069) were recruited from the Tehran Lipid and Glucose Study (2014-2017). Urinary sodium (Na), potassium (K), and creatinine (Cr) concentrations were measured in the morning spot urine samples. The 24-h urinary Na excretion and predicted salt intake was estimated using five equations, i.e., Kawasaki, Tanaka, Intersalt, Toft, and Whitton. A validated food frequency questionnaire (FFQ) was used to obtain dietary intake of salt. The agreement of each urinary- and FFQ-based salt estimation with the overall mean of the methods, considered as the gold standard, was assessed using the Bland-Altman method.
Mean age of the participants was 45.6 ± 14.8 y, and 45.4% were men. Mean (SD) estimated salt intake, derived from the overall mean of the methods, was 9.0 ± 2.2 g/d (10.2 ± 2.1 and 7.9 ± 1.7 g/d in men and women, respectively). Mean bias of the estimations from the overall mean ranged from - 0.2.42 to 2.75 g/d, with the Tanaka equation having the least bias (mean bias = 0.13 ± 1.10, 95% CI - 2.37, 2.30 g/d). Tanaka estimated a mean salt intake of 8.9 g/d (range 2.1 to 18.7 g/d); accordingly, only 5.1% of participants adhered to the recommendation (< 5 g/d salt intake), whereas 26.8% and 2.4% exceeded the recommendation by 2- and threefold.
The Tanaka equation could provide a more accurate mean-population estimated salt intake from casual urinary Na concentration in our population. About 95% of the Iranian population exceeded the current recommendations of salt intake.
我们旨在使用基于随机尿样的公式和基于饮食的方法来估计伊朗人群的盐摄入量。
从德黑兰血脂与血糖研究(2014 - 2017年)中招募成年男性和女性(n = 2069)。测量早晨随机尿样中的尿钠(Na)、钾(K)和肌酐(Cr)浓度。使用五个公式,即川崎公式、田中公式、国际盐摄入协作组公式、托夫特公式和惠顿公式,来估计24小时尿钠排泄量和预测的盐摄入量。使用经过验证的食物频率问卷(FFQ)来获取盐的饮食摄入量。使用布兰德 - 奥特曼方法评估基于尿样和FFQ的每种盐估计值与被视为金标准的方法总体均值之间的一致性。
参与者的平均年龄为45.6 ± 14.8岁,男性占45.4%。从方法总体均值得出的平均(标准差)估计盐摄入量为9.0 ± 2.2克/天(男性和女性分别为10.2 ± 2.1克/天和7.9 ± 1.7克/天)。估计值与总体均值的平均偏差范围为 - 0.242至2.75克/天,田中公式的偏差最小(平均偏差 = 0.13 ± 1.10,95%可信区间 - 2.37,2.30克/天)。田中公式估计的平均盐摄入量为8.9克/天(范围2.1至18.7克/天);因此,只有5.1%的参与者符合建议(盐摄入量<5克/天),而26.8%和2.4%的参与者超出建议量两倍和三倍。
田中公式可以根据我们人群中随机尿钠浓度更准确地估计总体人群的平均盐摄入量。约95%的伊朗人群超过了目前的盐摄入量建议。