Association between the Mediterranean-style Dietary Pattern Score and Physical Performance: Results from TRELONG Study.

OBJECTIVE: To determine the association between Mediterranean-Style Dietary Pattern Score and physical performance. DESIGN: Data analysis of a longitudinal study of a representative, age stratified, population sample. SETTING: The TREVISO LONGEVA (TRELONG) Study, in Treviso, Italy. PARTICIPANTS: In 2010, 123 men and 181 women, age 77 years and over (mean age 86.3 ± 6.8 years). MEASUREMENTS: Performing a logistic regression in a multivariate analysis, hand grip strength and Short Physical Performance Battery (SPPB) were tested in relation to Mediterranean-Style Dietary Pattern Score (MSDPS). RESULTS: The hand grip mean value was 10.9 kg (± 9.5) and the SPPB score was 6.3 (± 3.8). The MSDPS mean value in this study sample was 38.1/100 (± 8.1). A significant association (p=0.036) between a high adherence to the Mediterranean diet (fourth quartile) and higher performance lower limbs (SPPB>7) was found. No correlation was reported for the hand grip strength. CONCLUSION: We found an association statistically significant between a high adherence to the Mediterranean diet and higher physical performance.

Body mass index, lifestyles, physical performance and cognitive decline: the "Treviso Longeva (TRELONG)" study.

OBJECTIVES: The relative contributions of risk factors, as body mass index (BMI), depression, chronic diseases, smoking, and lifestyles (as physical and performance activity, social contacts and reading habit) to cognitive decline in the elderly are unclear. We explored these variables in relation to 7-year cognitive decline in long-lived Italian elderly. DESIGN: Secondary data analysis of a longitudinal study of a representative, age-stratified, population sample. SETTING: The TREVISO LONGEVA (TRELONG) Study, in Treviso, Italy. PARTICIPANTS: 120 men and 189 women, age 77 years and older (mean age 80.2 ± 6.9 years) survivors after seven years of follow up. MEASUREMENTS: Cognitive decline measured as difference between Mini-Mental State Examination (MMSE) score in 2003 and in 2010; Body mass index (BMI), handgrip, Short Physical Performance Battery (SPPB) score, social contacts, reading habit, sight, hearing, schooling, mediterranean diet and multiple clinical and survey data recorded at baseline in 2003. RESULTS: In separate univariate analyses, age, SPPB score < 5, depressive symptoms (GDS) and more comorbidities (CCI) were associated with greater cognitive decline. Otherwise higher BMI, higher handgrip, reading habit, non-deteriorated sight and hearing, and schooling were protective. In a final multivariate model, age and higher BMI were associated with greater cognitive decline while reading habits was protective. SPPB score < 5 tends, though weakly, to be associated with greater cognitive decline. These associations remained with multivariate adjustment for gender, schooling, Charlson co-morbidity index (CCI) and baseline MMSE. CONCLUSION: Age and higher baseline BMI, independent of gender, and other confounding factors, are risk factors for cognitive decline. Reading habit plays a protective role seven years later among northern Italian adults aged 70 years or older. Low physical performance tends, though weakly, to be associated with greater cognitive decline.

The Treviso Dementia (TREDEM) Study: A Biomedical, Neuroradiological, Neuropsychological and Social Investigation of Dementia in North-Eastern Italy.

BACKGROUND: The incidence of dementia increases exponentially with age but knowledge of real disease-modifying interventions is still limited. OBJECTIVES: To describe the study design and methods of a large prospective cohort study aimed at exploring the complex underlying relationships existing among cognition, frailty, and health-related events in older persons with cognitive impairment. DESIGN: Prospective cohort study of a representative population of outpatients attending the Treviso Cognitive Impairment Center between 2000 and 2010. SETTING: The TREVISO DEMENTIA (TREDEM) Study conducted in Treviso, Italy. PARTICIPANTS: 490 men and 874 women, mean age 79.1 ± 7.8 years (range 40.2-100 years). MEASUREMENTS: Physiological data, biochemical parameters, clinical conditions, neuroradiological parameters (e.g., brain atrophy and cerebral vascular lesions identified by computerized tomography scans), neuropsychological assessment, and physical function markers were measured at baseline. Patients were followed-up to 10 years. RESULTS: The final sample included in the study was predominantly composed of women and characterized by an initial physical function impairment and increased vascular risk profile. Cognitive function of the sample population showed moderate cognitive impairment (Mini Mental State Examination 20.2 ± 6.3; Clinical Dementia Rating 1.2 ± 0.7), and a prevalence of vascular dementia of 26.9%. Cortical, subcortical and hippocampus atrophy were all significantly correlated with age and cognitive function. CONCLUSION: Results obtained from the preliminary analyses conducted in the TREDEM study suggest that the database will support the accomplishment of important goals in understanding the nature of cognitive frailty and neurodegenerative diseases.

The Treviso Longeva (Trelong) study: a biomedical, demographic, economic and social investigation on people 70 years and over in a typical town of North-East of Italy.

Longevity is a complex process resulting from genetic and environmental factors, as well as their interaction. These factors are poorly understood, and the comparison among health status, socio-economics, demographic and other characteristics of the elderly people can help in understanding these complex interactions. Such an interdisciplinary approach is necessary to allow an appropriate evaluation of longevity. Here we report the methodology and the first results of a representative study performed in 2003-2004 on people of 70 years and over, living in a typical town of North-East of Italy. In the research we collected biomedical, demographic, socio-economic and quality of life (QoL) data.