Association between the Prime Diet Quality Score and depressive symptoms in a Mediterranean population with metabolic syndrome. Cross-sectional and 2-year follow-up assessment from PREDIMED-PLUS study.

The burden of depression is increasing worldwide, specifically in older adults. Unhealthy dietary patterns may partly explain this phenomenon. In the Spanish PREDIMED-Plus study, we explored (1) the cross-sectional association between the adherence to the Prime Diet Quality Score (PDQS), an a priori-defined high-quality food pattern, and the prevalence of depressive symptoms at baseline (cross-sectional analysis) and (2) the prospective association of baseline PDQS with changes in depressive symptomatology after 2 years of follow-up. After exclusions, we assessed 6612 participants in the cross-sectional analysis and 5523 participants in the prospective analysis. An energy-adjusted high-quality dietary score (PDQS) was assessed using a validated FFQ. The cross-sectional association between PDQS and the prevalence of depression or presence of depressive symptoms and the prospective changes in depressive symptoms were evaluated through multivariable regression models (logistic and linear models and mixed linear-effects models). PDQS was inversely associated with depressive status in the cross-sectional analysis. Participants in the highest quintile of PDQS (Q5) showed a significantly reduced odds of depression prevalence as compared to participants in the lowest quartile of PDQS (Q1) (OR (95 %) CI = 0·82 (0·68, 0·98))). The baseline prevalence of depression decreased across PDQS quintiles (Pfor trend = 0·015). A statistically significant association between PDQS and changes in depressive symptoms after 2-years follow-up was found (ß (95 %) CI = -0·67 z-score (-1·17, -0·18). A higher PDQS was cross-sectionally related to a lower depressive status. Nevertheless, the null finding in our prospective analysis raises the possibility of reverse causality. Further prospective investigation is required to ascertain the association between PDQS and changes in depressive symptoms along time.

Psychological and metabolic risk factors in older adults with a previous history of eating disorder: A cross-sectional study from the Predimed-Plus study.

GOALS: To explore affective and cognitive status, later in life, in individuals with and without previous history of eating disorder (ED), and also its association with higher risk for metabolic syndrome (MetS) symptomatology. METHODS: A cross-sectional analysis of 6756 adults, aged 55-75 years with overweight/obesity and MetS participating in the Predimed-Plus study was conducted. Participants completed self-reported questionnaires to examine lifetime history of ED, according to DSM-5 criteria, and other psychopathological and neurocognitive factors. Anthropometric and metabolic measurements were also collected. RESULTS: Of the whole sample, 24 individuals (0.35%) reported a previous history of ED. In this subsample, there were more women and singles compared to their counterparts, but they also presented higher levels of depressive symptoms and higher cognitive impairment, but also higher body mass index (BMI) and severe obesity, than those without lifetime ED. CONCLUSIONS: This is one of the first studies to analyse the cognitive and metabolic impact of a previous history of ED. The results showed that previous ED was associated with greater affective and cognitive impairment, but also with higher BMI, later in life. No other MetS risk factors were found, after controlling for relevant variables.

[Obesity associated risk using Edmonton staging in bariatric surgery]. / Riesgo asociado a obesidad según estadiaje de Edmonton en cirugía bariátrica.

UNLABELLED: With a prevalence of Morbid Obesity of 1,2% of the Spanish population, the current criteria for Bariatric Surgery do not classify patients taking into consideration co-morbidities or functional status. We need new staging systems useful in predicting mortality and able to support prioritizing treatments. AIM: Applying Edmonton staging system to patients awaiting Bariatric Surgery. METHOD: Data collected from 81 patients from 2011- 2013 after pre-surgery protocol. Weight, height, waist, BMI, biochemical parameters and blood pressure are registered. Also taken down are hepatic, renal, osteoarticular diseases, sleep-apnea syndrome and/or gastro-oesophageal reflux, if present. Edmonton staging of ten variables is applied to each patient. RESULTS: 81 patients: 67% women, average age 47y, 18% below 30y. Average BMI of 47, 90% of patients have a BMI >40. 34% of patients show sleep-apnea syndrome and 25% gastro-oesophageal reflux. 9% of the patients have a BMI >45, diabetes mellitus and sleep-apnea syndrome. Applying the Edmonton Staging, nine patients (11%) are in the highest risk range (stage 3), 70% are in the high-risk range (stage 2) and 15 patients (18%) are included in the low-risk range. No patient was found to be in stage 0 without obesity risk factors. CONCLUSIONS: The Edmonton staging system provides us with information on presence or extent of co-morbidities that guide decision making in individuals. The mortality- predictive ability of Edmonton proposal could help to assist in determining the urgency of Bariatric Surgery and establish better criteria to prioritize these group of patients.

Con una prevalencia de obesidad mórbida del 1,2% en población española, los criterios de indicación para Cirugía Bariátrica (CB) no consideran comorbilidades ni estado funcional. Es necesaria una aproximación diagnóstica capaz de predecir mortalidad y sustentar criterios de priorización terapéutica. Objetivo: Aplicar la propuesta Edmonton como sistema de estadiaje clínico para la clasificación de pacientes en lista de espera de CB. Método: Se recogen datos de 81 pacientes (2011 ­ 2013), tras protocolo prequirúrgico. Se registra peso, talla, IMC, cintura, determinaciones bioquímicas, TA, presencia de enfermedad hepática, renal, osteoarticular, síndrome apnea-hipopnea del sueño (SAHS) y reflujo gastroesofágico. Se aplica a cada persona la propuesta de estadiaje de Edmonton, con 10 variables. Resultados: 67% mujeres. Edad media: 47 años, 18% con edad inferior a 30 años. IMC medio: 47 (37-67), 90% IMC > de 40. El 34% de los pacientes presentan SHAS y el 25% enfermedad por reflujo. Un 9% asocia IMC > 45, disglucosis- diabetes mellitus y SAHS. Aplicando el modelo de Edmonton, nueve pacientes (11%) se sitúan en el rango de mayor riesgo (estadío 3), 70% en rango de riesgo elevado (estadío 2), y 15 pacientes (18%), están incluidos en la condición de bajo riesgo. Ningún paciente se situaba en estadio 0, sin factores de riesgo asociados a obesidad. Conclusiones: El estadiaje de Edmonton nos aporta información sobre la presencia y extensión de co-mobilidades, que apoye la toma de decisiones terapéuticas. La capacidad predictiva de mortalidad de la propuesta de Edmonton podría ser útil para establecer criterios de priorización quirúrgica.