Correction to: Dietary folate intake and metabolic syndrome in participants of PREDIMED‑Plus study: a cross‑sectional study

[Purpose]: We examined the association between dietary folate intake and a score of MetS (metabolic syndrome) and its components among older adults at higher cardiometabolic risk participating in the PREDIMED-Plus trial. [Methods]: A cross-sectional analysis with 6633 with overweight/obesity participants with MetS was conducted. Folate intake (per 100 mcg/day and in quintiles) was estimated using a validated food frequency questionnaire. We calculated a MetS score using the standardized values as shown in the formula: [(body mass index + waist-to-height ratio)/2] + [(systolic blood pressure + diastolic blood pressure)/2] + plasma fasting glucose–HDL cholesterol + plasma triglycerides. The MetS score as continuous variable and its seven components were the outcome variables. Multiple robust linear regression using MM-type estimator was performed to evaluate the association adjusting for potential confounders.[Results]: We observed that an increase in energy-adjusted folate intake was associated with a reduction of MetS score (β for 100 mcg/day = − 0.12; 95% CI: − 0.19 to − 0.05), and plasma fasting glucose (β = − 0.03; 95% CI: − 0.05 to − 0.02) independently of the adherence to Mediterranean diet and other potential confounders. We also found a positive association with HDL-cholesterol (β = 0.07; 95% CI: 0.04–0.10). These associations were also observed when quintiles of energy-adjusted folate intake were used instead.[Conclusion]: This study suggests that a higher folate intake may be associated with a lower MetS score in older adults, a lower plasma fasting glucose, and a greater HDL cholesterol in high-risk cardio-metabolic subjects.The PREDIMED-Plus trial was supported by grants from the Instituto de Salud Carlos III, co-financed by the Fondo Europeo de Desarrollo Regional-FEDER including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, and PI17/00926; the Cohorte PREDIMED-Plus grant; the European Research Council (Advanced Research Grant 2013–2018, 340918) to M.Á.M.-G., the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to J.S.-S., the Recercaixa grant to J.S.-S. (2013ACUP00194), grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, and PI0137/2018), a grant from the Generalitat Valenciana (PROMETEO/2017/017), a SEMERGEN grant, and funds from the European Regional Development Fund (CB06/03 and CB12/03), The International Nut & Dried Fruit Council—FESNAD (Long-term effects of an energy-restricted Mediterranean diet on mortality and cardiovascular disease 2014–2015, No. 201302) [M.A.M.-G.]; the AstraZeneca Young Investigators Award in Category of Obesity and T2D 2017 [D.R.], EU-COST Action CA16112, Grant of support to research groups no. 35/2011 from the Balearic Islands Government, Grants from Balearic Islands Health Research Institute (IDISBA). This work is partially supported by ICREA under the ICREA Academia programme.Peer reviewe