BUSCADOR RECOLECTA

Objetivo: Estudiar la correlación de la Telephone Interview for Cognitive Status modificada en español(STICS-m) con el Mini-Mental State Examination (MMSE) y predecir la capacidad de la primera para detectar el desarrollo de demencia. Método: Ciento seis sujetos de un estudio de intervención dietética fueron evaluados personalmente con el MMSE y por teléfono con la STICS-m. La correlación entre ambos se midió con el coeficiente de correlación intraclase (CCI) de consistencia. Además, 932 participantes mayores de 55 años de la cohorte 'Seguimiento Universidad de Navarra' fueron evaluados con la STICS-m. Durante una mediana de seguimiento de 6,5 años, se recogió información sobre el desarrollo de demencia. Mediante regresión logística se estudió la asociación entre la puntuación de la STICS-m o el cambio a 2 años en la puntuación y el riesgo de desarrollar demencia, ajustando por apolipoproteína E, edad y años de educación universitaria. Resultados: El CCI entre el MMSE y la STICS-m fue de 0,31 (intervalo de confianza del 95% [IC95%]:0,13-0,48). La odds ratio (OR) ajustada para el desarrollo de demencia para cada punto adicional en la puntuación basal de la STICS-m fue de 0,85 (IC95%: 0,72-1,02; p = 0,084). Al considerar el cambio en la puntuación a los 2 años como variable independiente, la OR fue de 0,79 (IC95%: 0,67-0,93; p = 0,006)., Objective: To compare the Spanish version of the modified Telephone Interview of Cognitive Status(STICS-m) with the Mini-Mental State Examination (MMSE) and predict its ability to detect the development of dementia. Method: 106 participants in a dietary intervention trial underwent face-to-face evaluation with the MMSE, and phone interview with the STICS-m. The correlation between STICS-m and MMSE was assessed with the intraclass correlation coefficient (ICC) of consistency. Secondly, 932 participants over 55 years old from the ‘Seguimiento Universidad de Navarra’ cohort were evaluated with the STICS-m and data ondementia diagnosis were gathered (median follow-up time of 6.5 years). A logistic regression model evaluated the association between STICS-m score or 2-year changes in STICS-m score and risk of developing dementia, adjusting for ApoE, age and years of university education. Results: The ICC between the MMSE and the STICS-m was 0.31 (95% confidence interval [95%CI]: 0.13-0.48). The adjusted odds ratio (OR) for the development of dementia for each additional point in the baseline STICS-m score was 0.85 (95%CI: 0.72-1.02; p = 0.084). When considering the 2-year change inthe STICS-m score as exposure, the OR for the development of dementia was 0.79 (95%CI: 0.67-0.93; p = 0.006). Conclusions: The weak correlation between the STICS-m and the MMSE reflects moderate-low concurrent validity. Even so, the STICS-m can be regarded as an useful tool in the epidemiological setting since increasing scores appear to be able to predict a lower risk of developing dementia., The SUN Project has received funding from the Spanish Government-Instituto de Salud Carlos III, and the European Regional Development Fund (FEDER) (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615,PI14/01668, PI14/01798, PI14/01764, and G03/140), the Navarra Regional Government (45/2011, 122/2014), and the University of Navarra. The PREDIMED Plus-NAVARRA trial has received fundingfrom the European Research Council (Advanced Research Grant2013-2018; 340918) granted to MAMG, the Instituto de Salud Carlos III (PI13/01090, PI16/01522).

Objective: To study the association between health-related quality of life (HRQoL) and all-cause mortality in a
healthy middle-aged Mediterranean cohort.
Methods: We included 15,390 participants –mean age 42.8 years at first HRQoL ascertainment, all university
graduates–. HRQoL was assessed with the self-administered Medical Outcomes Study Short Form-36 (SF-36)
twice, with a 4-year gap. We used multivariable-adjusted Cox regression models to address the relation between
self-reported health and Physical or Mental Component Summary (PCS-36 or MCS-36) and mortality, and their
interaction with prior comorbidities or adherence to the Mediterranean diet (MedDiet).
Results: Over 8.7 years of median follow-up time, 266 deaths were identified. Hazard ratio (HR) for the excellent
vs. poor/fair category in self-reported health was 0.30 (95 % confidence interval (CI), 0.16–0.57) in the model
with repeated measurements of HRQoL. Both the PCS-36 (HRquartile4(Q4)vs.Q1 0.57 [95%CI, 0.36–0.90], ptrend <
0.001; HRper+10points: 0.64 [95%CI, 0.54–0.75]) and the MCS-36 (HRQ4vs.Q1 0.67 [95%CI, 0.46–0.97], ptrend =
0.025; HRper+10points: 0.86 [95%CI, 0.74–0.99]) were inversely associated with mortality in the model with
repeated measurements of HRQoL. Previous comorbidities or adherence to the MedDiet did not modify these
associations.
Conclusions: Self-reported HRQoL –assessed as self-reported health, PCS-36 and MCS-36– obtained with the
Spanish version of the SF-36 were inversely associated with mortality risk, regardless of the presence of previous
comorbidities or adherence to the MedDiet., This project was made possible by funding from the Spanish Government-Instituto de Salud Carlos III, and the European Regional Development Fund (FEDER) (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI18/00631, PI20/00564 and G03/140), from the Government of Navarra (27/2011, 45/2011, 122/2014), from the National Plan on Drugs (2020/021) as well as from the University of Navarra.

Purpose: Vitamin D deficiency has been associated with multiple chronic diseases, including metabolic disorders such as insulin resistance and type 2 diabetes (T2D). The aim of the study was to analyze the association between validated predicted serum vitamin D status and the risk of developing T2D in a large prospective cohort based on a Mediterranean population. Methods: The SUN project is a prospective and dynamic Spanish cohort that gathers university graduates who have answered lifestyle questionnaires, including a validated Food Frequency Questionnaire. The association between predicted serum vitamin D and the risk of T2D was assessed through Cox regression models according to quartiles (Q) of predicted vitamin D at baseline. The models were adjusted for potential confounders and sensitivity analyses were performed to ensure the robustness of our findings. Results: Our study included a total of 18,594 participants and after a total follow-up of 238,078 person-years (median follow-up of 13.5 years), 209 individuals were diagnosed with incident T2D. We found a significant inverse association between predicted levels of serum vitamin D and the risk of developing T2D, after adjusting for potential confounders and performing different sensitivity analyses (hazard ratio Q4 vs. Q1: 0.48, 95% CI 0.26¿0.88; p for trend = 0.032). Conclusion: The outcomes suggest that higher levels of vitamin D at baseline may be associated with a reduced risk of developing T2D., Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The SUN project has received funding from the Spanish Government-Instituto de Salud Carlos III, the European Regional Development Fund (FEDER) (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564, PI23/01332, and G03/140), the Navarra Regional Government (27/2011, 45/2011, 122/2014), the National Plan on Drugs (2020/021), and the University of Navarra.

Objectives: Novel findings indicate links between unhealthy lifestyles and depression based on active inflammatory processes. Thus, identifying participants with poor habits could reveal differences in trends of incident depression. This study aimed to examine the association between an objective lifestyle assessment, as measured by the Lifestyle and Well-Being Index (LWB-I), and incident depression in healthy participants of a Spanish cohort. Study design: This was a longitudinal analysis of a subsample of 10,063 participants from the Seguimiento Universidad de Navarra cohort study. Methods: Group comparisons and Cox proportional hazard models were conducted using the LWB-I, which categorizes the sample into groups with healthy and unhealthy lifestyles and well-being. The main outcome was incident depression as well as secondary outcomes. Results: Those classified to the transition category of LWB-I were associated with a hazard ratio of 0.67 (95% confidence interval: 0.52-0.87), and those in the excellent category showed a hazard ratio of 0.44 (95% confidence interval: 0.33-0.58), which in both groups reflects a significantly lower risk of incident depression compared with the group including those classified in the poor LWB-I level. Moreover, the available sensitivity analyses concerning time of depression diagnosis or antidepressant treatment further supported the role of nutrition and physical activity on incident depression. Interestingly, throughout the follow-up, incident depression was inversely related to healthier daily habits as measured by the LWB-I. Conclusions: A global assessment of lifestyles such as the LWB-I provides valuable insight into the complex relationship between lifestyle factors and their link to depression risk., Funding was received from the Spanish Government-Instituto de Salud Carlos III , the European Regional Development Fund (FEDER; RD 06/0045, CIBER-OBN, grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564 and G03/140), the Navarra Regional Government (27/2011, 45/2011, 122/2014), the National Plan on Drugs (2020/021), and the University of Navarra.

Antecedentes
La calidad de vida relacionada con la salud es un elemento importante en la valoración integral del sobrepeso y la obesidad.
Objetivo
Evaluar el impacto de la obesidad y la ganancia de peso sobre la calidad de vida relacionada con la salud en la cohorte dinámica Seguimiento Universidad de Navarra.
Materiales y métodos
Los análisis incluyeron a 10.033 participantes de la cohorte dinámica prospectiva del Proyecto Seguimiento Universidad de Navarra, con una tasa de respuesta de aproximadamente el 90%. La calidad de vida fue medida con la versión abreviada de la Encuesta de Salud (SF-36) (0: peor calidad de vida, 100: mejor calidad de vida). El análisis estadístico se realizó con modelos lineales generalizados (media de cada dominio del SF-36 e IC al 95%). Una diferencia de 3 puntos fue considerada como clínicamente relevante.
Resultados
El análisis del SF-36 mostró que la función física, la salud general y la variable física sumario fueron inferiores en las personas con sobrepeso y obesidad al inicio del estudio que en los individuos con normopeso.
La población a estudio con sobrepeso u obesidad sin cambios tras 2 años de seguimiento presentó peores puntuaciones en los dominios del SF-36 correspondientes a la función física, dolor corporal, variable física sumario y salud general que los individuos que mantuvieron la categoría del normopeso según el IMC (kg/m2).
Conclusiones
La obesidad parece asociarse a un impacto negativo sobre la calidad de vida relacionada con la salud, que afecta más significativamente al área física que a la psicosocial.

Background: The health-related quality of life is an important element for the comprehensive assessment of overweight and obesity. Objective: To assess the impact of obesity and weight gain on the health-related quality of life of the dynamic cohort of the Follow-up Program of the University of Navarra.
Material and methods: The analysis included 10, 033 participants of the prospective dynamic cohort of the Follow-up Project of the University of Navarra, with a response rate of approximately 90%. The quality of life was measured with the Short Form 36 Health Survey (SF-36) (0, worst quality of life; 100, best quality of life). The statistical analysis was performed with generalized lineal models (mean of each SF-36 domain and 95% CI). A difference of 3 points was considered clinically relevant.
Results: The SF-36 analysis showed that physical function, general health and the physical component summary were inferior in individuals with excess weight and obesity at the start of the study, compared with individuals with normal weight. The study population with unchanged excess weight or obesity after 2 years of follow-up presented lower scores on the SF-36 domains corresponding to physical function, body pain, physical component summary and general health than individuals who maintained the normal weight category according to BMI (kg/m2).
Conclusions: Obesity appears to be associated with a negative impact on health-related quality of life, affecting the physical area more significantly than the psychosocial.