Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Eur J Nutr. 2020 Aug;59(5):2195-2206. doi: 10.1007/s00394-019-02070-w. Epub 2019 Aug 5.
To assess the association between the consumption of non-soy legumes and different subtypes of non-soy legumes and serum uric acid (SUA) or hyperuricemia in elderly individuals with overweight or obesity and metabolic syndrome.
A cross-sectional analysis was conducted in the framework of the PREDIMED-Plus study. We included 6329 participants with information on non-soy legume consumption and SUA levels. Non-soy legume consumption was estimated using a semi-quantitative food frequency questionnaire. Linear regression models and Cox regression models were used to assess the associations between tertiles of non-soy legume consumption, different subtypes of non-soy legume consumption and SUA levels or hyperuricemia prevalence, respectively.
Individuals in the highest tertile (T3) of total non-soy legume, lentil and pea consumption, had 0.14 mg/dL, 0.19 mg/dL and 0.12 mg/dL lower SUA levels, respectively, compared to those in the lowest tertile (T1), which was considered the reference one. Chickpea and dry bean consumption showed no association. In multivariable models, participants located in the top tertile of total non-soy legumes [prevalence ratio (PR): 0.89; 95% CI 0.82-0.97; p trend = 0.01, lentils (PR: 0.89; 95% CI 0.82-0.97; p trend = 0.01), dry beans (PR: 0.91; 95% C: 0.84-0.99; p trend = 0.03) and peas (PR: 0.89; 95% CI 0.82-0.97; p trend = 0.01)] presented a lower prevalence of hyperuricemia (vs. the bottom tertile). Chickpea consumption was not associated with hyperuricemia prevalence.
In this study of elderly subjects with metabolic syndrome, we observed that despite being a purine-rich food, non-soy legumes were inversely associated with SUA levels and hyperuricemia prevalence.
ISRCTN89898870. Registration date: 24 July 2014.
评估非大豆豆类及其不同类型的非大豆豆类的消费与超重或肥胖及代谢综合征老年人的血清尿酸(SUA)或高尿酸血症之间的关联。
在 PREDIMED-Plus 研究框架内进行了一项横断面分析。我们纳入了 6329 名参与者,他们提供了非大豆豆类消费和 SUA 水平的信息。非大豆豆类消费使用半定量食物频率问卷进行评估。线性回归模型和 Cox 回归模型分别用于评估非大豆豆类消费三分位、不同类型的非大豆豆类消费与 SUA 水平或高尿酸血症患病率之间的关系。
与最低三分位(T1)相比,总非大豆豆类、扁豆和豌豆摄入量最高的 T3 个体的 SUA 水平分别低 0.14 mg/dL、0.19 mg/dL 和 0.12 mg/dL,T1 被认为是参考值。鹰嘴豆和干豆的消费与 SUA 水平无关联。在多变量模型中,总非大豆豆类摄入量最高的参与者[比值比(PR):0.89;95%置信区间(CI)0.82-0.97;p 趋势=0.01]、扁豆(PR:0.89;95%CI 0.82-0.97;p 趋势=0.01)、干豆(PR:0.91;95%CI 0.84-0.99;p 趋势=0.03)和豌豆(PR:0.89;95%CI 0.82-0.97;p 趋势=0.01)的高尿酸血症患病率较低(与最低三分位相比)。鹰嘴豆的消费与高尿酸血症的患病率无关。
在这项针对代谢综合征老年患者的研究中,我们观察到,尽管非大豆豆类富含嘌呤,但它们与 SUA 水平和高尿酸血症的患病率呈负相关。
ISRCTN89898870。注册日期:2014 年 7 月 24 日。