Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia: the PREDIMED-Plus study

PREDIMED-Plus Investigators

doi:10.1007/s00394-019-02070-w

Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia: the PREDIMED-Plus study

PREDIMED-Plus Investigators

Obesity Research

3 Citations (Scopus)

Abstract

Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Trial registration: ISRCTN89898870. Registration date: 24 July 2014.

Original language	English
Journal	European Journal of Nutrition
ISSN	1436-6207
DOIs	https://doi.org/10.1007/s00394-019-02070-w
Publication status	Published - 1 Aug 2020

Keywords

Faculty of Science
Serum uric acid
Hyperuricemia
Non-soy legumes
PREDIMED-Plus

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00394-019-02070-w

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@article{3e95aea93139491d81871d34ef65861b,

title = "Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia: the PREDIMED-Plus study",

abstract = "Purpose: 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.Methods: 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.Results: 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.Conclusions: 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.Trial registration: ISRCTN89898870. Registration date: 24 July 2014.",

keywords = "Faculty of Science, Serum uric acid, Hyperuricemia, Non-soy legumes, PREDIMED-Plus",

author = "Nerea Becerra-Tom{\'a}s and Guillermo Mena-S{\'a}nchez and Andr{\'e}s D{\'i}az-L{\'o}pez and Mart{\'i}nez-Gonz{\'a}lez, {Miguel {\'A}ngel} and Nancy Babio and Dolores Corella and Gala Freixer and Dora Romaguera and Jes{\'u}s Vioque and Alonso-G{\'o}mez, {{\'A}ngel M} and Julia W{\"a}rnberg and Mart{\'i}nez, {J Alfredo} and Llu{\'i}s Serra-Majem and Ramon Estruch and Fern{\'a}ndez-Garc{\'i}a, {Jos{\'e} Carlos} and Jos{\'e} Lapetra and Xavier Pint{\'o} and Tur, {Josep A} and Jos{\'e} L{\'o}pez-Miranda and Aurora Bueno-Cavanillas and Gaforio, {Jos{\'e} Juan} and Pilar Mat{\'i}a-Mart{\'i}n and Lidia Daimiel and Vicente Mart{\'i}n-S{\'a}nchez and Josep Vidal and Clotilde V{\'a}zquez and Emili Ros and Cristina Razquin and {Abell{\'a}n Cano}, Iv{\'a}n and Sorli, {Jose V} and Laura Torres and Marga Morey and Navarrete-Mu{\~n}oz, {Eva Mª} and {Tojal Sierra}, Lucas and Edelys Crespo-Oliva and Zulet, {M {\'A}ngeles} and Almudena Sanchez-Villegas and Rosa Casas and Bernal-Lopez, {M Rosa} and Santos-Lozano, {Jos{\'e} Manuel} and Emili Corbella and {Del Mar Bibiloni}, Maria and Miguel Ruiz-Canela and Rebeca Fern{\'a}ndez-Carri{\'o}n and Mireia Quifer and Prieto, {Rafel M} and Noelia Fernandez-Brufal and {Salaverria Lete}, Itziar and Cenoz, {Juan Carlos} and Regina Llimona and {PREDIMED-Plus Investigators} and Arne Astrup",

note = "CURIS 2019 NEXS 258 Arne Astrup indg{\aa}r i en af styre-monitoreringsgrupperne.",

year = "2020",

month = aug,

day = "1",

doi = "10.1007/s00394-019-02070-w",

language = "English",

journal = "European Journal of Nutrition",

issn = "1436-6207",

publisher = "Springer Medizin",

}

TY - JOUR

T1 - Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia

T2 - the PREDIMED-Plus study

AU - Becerra-Tomás, Nerea

AU - Mena-Sánchez, Guillermo

AU - Díaz-López, Andrés

AU - Martínez-González, Miguel Ángel

AU - Babio, Nancy

AU - Corella, Dolores

AU - Freixer, Gala

AU - Romaguera, Dora

AU - Vioque, Jesús

AU - Alonso-Gómez, Ángel M

AU - Wärnberg, Julia

AU - Martínez, J Alfredo

AU - Serra-Majem, Lluís

AU - Estruch, Ramon

AU - Fernández-García, José Carlos

AU - Lapetra, José

AU - Pintó, Xavier

AU - Tur, Josep A

AU - López-Miranda, José

AU - Bueno-Cavanillas, Aurora

AU - Gaforio, José Juan

AU - Matía-Martín, Pilar

AU - Daimiel, Lidia

AU - Martín-Sánchez, Vicente

AU - Vidal, Josep

AU - Vázquez, Clotilde

AU - Ros, Emili

AU - Razquin, Cristina

AU - Abellán Cano, Iván

AU - Sorli, Jose V

AU - Torres, Laura

AU - Morey, Marga

AU - Navarrete-Muñoz, Eva Mª

AU - Tojal Sierra, Lucas

AU - Crespo-Oliva, Edelys

AU - Zulet, M Ángeles

AU - Sanchez-Villegas, Almudena

AU - Casas, Rosa

AU - Bernal-Lopez, M Rosa

AU - Santos-Lozano, José Manuel

AU - Corbella, Emili

AU - Del Mar Bibiloni, Maria

AU - Ruiz-Canela, Miguel

AU - Fernández-Carrión, Rebeca

AU - Quifer, Mireia

AU - Prieto, Rafel M

AU - Fernandez-Brufal, Noelia

AU - Salaverria Lete, Itziar

AU - Cenoz, Juan Carlos

AU - Llimona, Regina

AU - PREDIMED-Plus Investigators

AU - Astrup, Arne

N1 - CURIS 2019 NEXS 258 Arne Astrup indgår i en af styre-monitoreringsgrupperne.

PY - 2020/8/1

Y1 - 2020/8/1

N2 - Purpose: 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.Methods: 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.Results: 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.Conclusions: 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.Trial registration: ISRCTN89898870. Registration date: 24 July 2014.

AB - Purpose: 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.Methods: 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.Results: 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.Conclusions: 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.Trial registration: ISRCTN89898870. Registration date: 24 July 2014.

KW - Faculty of Science

KW - Serum uric acid

KW - Hyperuricemia

KW - Non-soy legumes

KW - PREDIMED-Plus

U2 - 10.1007/s00394-019-02070-w

DO - 10.1007/s00394-019-02070-w

M3 - Journal article

C2 - 31385063

SN - 1436-6207

JO - European Journal of Nutrition

JF - European Journal of Nutrition

ER -

Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia: the PREDIMED-Plus study

Abstract

Keywords

UN SDGs

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