Adherence to a priori dietary indexes and baseline prevalence of cardiovascular risk factors in the PREDIMED-Plus randomised trial
Purpose Cardiovascular disease remains the global leading cause of death. We evaluated at baseline the association between the adherence to eight a priori high-quality dietary scores and the prevalence of individual and clustered cardiovascular risk factors (CVRF) in the PREDIMED-Plus cohort. Methods All PREDIMED-Plus participants (6874 men and women aged 55–75 years, with overweight/obesity and metabolic syndrome) were assessed. The prevalence of 4 CVRF (hypertension, obesity, diabetes, and dyslipidaemia), using standard diagnoses criteria, were considered as outcomes. The adherence to eight a priori-defined dietary indexes was calculated. Multivariable models were fitted to estimate differences in mean values of factors and prevalence ratios for individual and clustered CVRF. Results Highest conformity to any dietary pattern did not show inverse associations with hypertension. The modified Mediterranean Diet Score (PR = 0.95; 95% CI 0.90–0.99), Mediterranean Diet Adherence Score (MEDAS) (PR = 0.94; 95% CI 0.89–0.98), the pro-vegetarian dietary pattern (PR = 0.95; 95% CI 0.90–0.99) and the Alternate Healthy Eating Index 2010 (PR = 0.92; 95% CI 0.87–0.96) were inversely associated with prevalence of obesity. We identified significant inverse trend among participants who better adhered to the MEDAS and the Prime Diet Quality Score (PDQS) in the mean number of CVRF across categories of adherence. Better adherence to several high-quality dietary indexes was associated with better blood lipid profiles and anthropometric measures. Conclusions Highest adherence to dietary quality indexes, especially Mediterranean-style and PDQS scores, showed marginal associations with lower prevalence of individual and clustered CVRF among elderly adults with metabolic syndrome at high risk of cardiovascular disease.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2019 |
|---|---|
| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:59 |
|---|---|
| Enthalten in: |
European journal of nutrition - 59(2019), 3 vom: 09. Mai, Seite 1219-1232 |
| Sprache: |
Englisch |
|---|
| Links: |
Volltext [lizenzpflichtig] |
|---|
| BKL: | |
|---|---|
| Themen: |
Dietary pattern |
| RVK: |
|---|
| Anmerkungen: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
|---|
| doi: |
10.1007/s00394-019-01982-x |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
OLC2117115705 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2117115705 | ||
| 003 | DE-627 | ||
| 005 | 20230504125327.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230504s2019 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00394-019-01982-x |2 doi | |
| 035 | |a (DE-627)OLC2117115705 | ||
| 035 | |a (DE-He213)s00394-019-01982-x-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 630 |a 640 |a 610 |q VZ |
| 084 | |a ELIB10 |q VZ |2 rvk | ||
| 084 | |a ELIB09 |q VZ |2 rvk | ||
| 084 | |a ELIB24 |q VZ |2 rvk | ||
| 084 | |a 44.21$jErnährung$XMedizin |2 bkl | ||
| 100 | 1 | |a Alvarez-Alvarez, Ismael |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Adherence to a priori dietary indexes and baseline prevalence of cardiovascular risk factors in the PREDIMED-Plus randomised trial |
| 264 | 1 | |c 2019 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © Springer-Verlag GmbH Germany, part of Springer Nature 2019 | ||
| 520 | |a Purpose Cardiovascular disease remains the global leading cause of death. We evaluated at baseline the association between the adherence to eight a priori high-quality dietary scores and the prevalence of individual and clustered cardiovascular risk factors (CVRF) in the PREDIMED-Plus cohort. Methods All PREDIMED-Plus participants (6874 men and women aged 55–75 years, with overweight/obesity and metabolic syndrome) were assessed. The prevalence of 4 CVRF (hypertension, obesity, diabetes, and dyslipidaemia), using standard diagnoses criteria, were considered as outcomes. The adherence to eight a priori-defined dietary indexes was calculated. Multivariable models were fitted to estimate differences in mean values of factors and prevalence ratios for individual and clustered CVRF. Results Highest conformity to any dietary pattern did not show inverse associations with hypertension. The modified Mediterranean Diet Score (PR = 0.95; 95% CI 0.90–0.99), Mediterranean Diet Adherence Score (MEDAS) (PR = 0.94; 95% CI 0.89–0.98), the pro-vegetarian dietary pattern (PR = 0.95; 95% CI 0.90–0.99) and the Alternate Healthy Eating Index 2010 (PR = 0.92; 95% CI 0.87–0.96) were inversely associated with prevalence of obesity. We identified significant inverse trend among participants who better adhered to the MEDAS and the Prime Diet Quality Score (PDQS) in the mean number of CVRF across categories of adherence. Better adherence to several high-quality dietary indexes was associated with better blood lipid profiles and anthropometric measures. Conclusions Highest adherence to dietary quality indexes, especially Mediterranean-style and PDQS scores, showed marginal associations with lower prevalence of individual and clustered CVRF among elderly adults with metabolic syndrome at high risk of cardiovascular disease | ||
| 650 | 4 | |a Hypertension | |
| 650 | 4 | |a Obesity | |
| 650 | 4 | |a Type 2 diabetes | |
| 650 | 4 | |a Dyslipidemias | |
| 650 | 4 | |a Dietary pattern | |
| 650 | 4 | |a Mediterranean diet | |
| 700 | 1 | |a Toledo, Estefanía |4 aut | |
| 700 | 1 | |a Lecea, Oscar |4 aut | |
| 700 | 1 | |a Salas-Salvadó, Jordi |4 aut | |
| 700 | 1 | |a Corella, Dolores |4 aut | |
| 700 | 1 | |a Buil-Cosiales, Pilar |4 aut | |
| 700 | 1 | |a Zomeño, María Dolores |4 aut | |
| 700 | 1 | |a Vioque, Jesús |4 aut | |
| 700 | 1 | |a Martinez, J. Alfredo |4 aut | |
| 700 | 1 | |a Konieczna, Jadwiga |4 aut | |
| 700 | 1 | |a Barón-López, Francisco J. |4 aut | |
| 700 | 1 | |a López-Miranda, José |4 aut | |
| 700 | 1 | |a Estruch, Ramon |4 aut | |
| 700 | 1 | |a Bueno-Cavanillas, Aurora |4 aut | |
| 700 | 1 | |a Alonso-Gómez, Ángel M. |4 aut | |
| 700 | 1 | |a Tur, Josep A. |4 aut | |
| 700 | 1 | |a Tinahones, Francisco J. |4 aut | |
| 700 | 1 | |a Serra-Majem, Lluís |4 aut | |
| 700 | 1 | |a Martín, Vicente |4 aut | |
| 700 | 1 | |a Ortega-Calvo, Manuel |4 aut | |
| 700 | 1 | |a Vázquez, Clotilde |4 aut | |
| 700 | 1 | |a Pintó, Xavier |4 aut | |
| 700 | 1 | |a Vidal, Josep |4 aut | |
| 700 | 1 | |a Daimiel, Lidia |4 aut | |
| 700 | 1 | |a Delgado-Rodríguez, Miguel |4 aut | |
| 700 | 1 | |a Matía, Pilar |4 aut | |
| 700 | 1 | |a González, José I. |4 aut | |
| 700 | 1 | |a Díaz-López, Andrés |4 aut | |
| 700 | 1 | |a Paz-Graniel, Indira |4 aut | |
| 700 | 1 | |a Muñoz, Miguel A. |4 aut | |
| 700 | 1 | |a Fito, Montse |4 aut | |
| 700 | 1 | |a Pertusa-Martinez, Salvador |4 aut | |
| 700 | 1 | |a Abete, Itziar |4 aut | |
| 700 | 1 | |a García-Ríos, Antonio |4 aut | |
| 700 | 1 | |a Ros, Emilio |4 aut | |
| 700 | 1 | |a Ruiz-Canela, Miguel |4 aut | |
| 700 | 1 | |a Martínez-González, Miguel Á. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t European journal of nutrition |d Springer Berlin Heidelberg, 1999 |g 59(2019), 3 vom: 09. Mai, Seite 1219-1232 |h Online-Ressource |w (DE-627)254910963 |w (DE-600)1463312-7 |w (DE-576)091204844 |x 1436-6215 |7 nnns |
| 773 | 1 | 8 | |g volume:59 |g year:2019 |g number:3 |g day:09 |g month:05 |g pages:1219-1232 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s00394-019-01982-x |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_32 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_74 | ||
| 912 | |a GBV_ILN_90 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_100 | ||
| 912 | |a GBV_ILN_101 | ||
| 912 | |a GBV_ILN_105 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_120 | ||
| 912 | |a GBV_ILN_138 | ||
| 912 | |a GBV_ILN_150 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_152 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_171 | ||
| 912 | |a GBV_ILN_187 | ||
| 912 | |a GBV_ILN_206 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_224 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_250 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_281 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_636 | ||
| 912 | |a GBV_ILN_647 | ||
| 912 | |a GBV_ILN_702 | ||
| 912 | |a GBV_ILN_711 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2007 | ||
| 912 | |a GBV_ILN_2008 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2010 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2015 | ||
| 912 | |a GBV_ILN_2018 | ||
| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_2021 | ||
| 912 | |a GBV_ILN_2025 | ||
| 912 | |a GBV_ILN_2026 | ||
| 912 | |a GBV_ILN_2027 | ||
| 912 | |a GBV_ILN_2031 | ||
| 912 | |a GBV_ILN_2034 | ||
| 912 | |a GBV_ILN_2037 | ||
| 912 | |a GBV_ILN_2038 | ||
| 912 | |a GBV_ILN_2039 | ||
| 912 | |a GBV_ILN_2044 | ||
| 912 | |a GBV_ILN_2048 | ||
| 912 | |a GBV_ILN_2049 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2056 | ||
| 912 | |a GBV_ILN_2057 | ||
| 912 | |a GBV_ILN_2059 | ||
| 912 | |a GBV_ILN_2061 | ||
| 912 | |a GBV_ILN_2064 | ||
| 912 | |a GBV_ILN_2065 | ||
| 912 | |a GBV_ILN_2068 | ||
| 912 | |a GBV_ILN_2070 | ||
| 912 | |a GBV_ILN_2086 | ||
| 912 | |a GBV_ILN_2088 | ||
| 912 | |a GBV_ILN_2093 | ||
| 912 | |a GBV_ILN_2106 | ||
| 912 | |a GBV_ILN_2107 | ||
| 912 | |a GBV_ILN_2108 | ||
| 912 | |a GBV_ILN_2110 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_2112 | ||
| 912 | |a GBV_ILN_2113 | ||
| 912 | |a GBV_ILN_2116 | ||
| 912 | |a GBV_ILN_2118 | ||
| 912 | |a GBV_ILN_2119 | ||
| 912 | |a GBV_ILN_2122 | ||
| 912 | |a GBV_ILN_2129 | ||
| 912 | |a GBV_ILN_2134 | ||
| 912 | |a GBV_ILN_2143 | ||
| 912 | |a GBV_ILN_2144 | ||
| 912 | |a GBV_ILN_2147 | ||
| 912 | |a GBV_ILN_2148 | ||
| 912 | |a GBV_ILN_2152 | ||
| 912 | |a GBV_ILN_2153 | ||
| 912 | |a GBV_ILN_2188 | ||
| 912 | |a GBV_ILN_2190 | ||
| 912 | |a GBV_ILN_2232 | ||
| 912 | |a GBV_ILN_2336 | ||
| 912 | |a GBV_ILN_2446 | ||
| 912 | |a GBV_ILN_2470 | ||
| 912 | |a GBV_ILN_2474 | ||
| 912 | |a GBV_ILN_2507 | ||
| 912 | |a GBV_ILN_2522 | ||
| 912 | |a GBV_ILN_2548 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4242 | ||
| 912 | |a GBV_ILN_4246 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4251 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4313 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4326 | ||
| 912 | |a GBV_ILN_4333 | ||
| 912 | |a GBV_ILN_4334 | ||
| 912 | |a GBV_ILN_4335 | ||
| 912 | |a GBV_ILN_4336 | ||
| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4393 | ||
| 912 | |a GBV_ILN_4700 | ||
| 936 | r | v | |a ELIB10 |
| 936 | r | v | |a ELIB09 |
| 936 | r | v | |a ELIB24 |
| 936 | b | k | |a 44.21$jErnährung$XMedizin |q VZ |0 106409557 |0 (DE-625)106409557 |
| 951 | |a AR | ||
| 952 | |d 59 |j 2019 |e 3 |b 09 |c 05 |h 1219-1232 | ||