ABSTRACT
INTRODUCTION AND OBJECTIVES: The ankle-brachial index (ABI) is an indicator of peripheral artery disease (PAD). The aim of this study was to assess the association between PAD, measured with the ABI, and cognitive function in persons with overweight or obesity and metabolic syndrome. METHODS: Cross-sectional study conducted with baseline data from the PREDIMED-Plus study, which included 4898 participants (after exclusion of those without ABI measurements) aged between 55 and 75 years, and with overweight or obesity and metabolic syndrome. At the baseline assessment, we measured the ABI with a standardized protocol and assessed the presence of other cardiovascular risk factors (eg, diabetes, dyslipidemia, hypertension). Cognitive function was evaluated using several tests validated for the Spanish population (mini-mental state examination [MMSE], phonological and semantic verbal fluency test, WAIS-III working memory index [WMI], parts A and B of the trail making test (TMT), and clock drawing test). Generalized linear models were used to assess the association between the ABI and cognitive function. RESULTS: Among the participants, 3.4% had PAD defined as ABI ≤ 0.9, and 3.3% had arterial calcification defined as ABI ≥ 1.4. PAD was associated with age, systolic blood pressure and obesity indicators, while arterial calcification was also associated with obesity and diabetes. No significant associations were observed between cognitive function and ABI or PAD. CONCLUSIONS: In our sample, the presence of PAD increased with age, blood pressure, and obesity. No significant association was observed between ABI, PAD, or cognitive function.
Subject(s)
Hypertension , Peripheral Arterial Disease , Aged , Ankle Brachial Index , Cognition , Cross-Sectional Studies , Humans , Middle Aged , Peripheral Arterial Disease/complications , Peripheral Arterial Disease/diagnosis , Peripheral Arterial Disease/epidemiology , Risk FactorsABSTRACT
Objectives: Few studies have evaluated the long-term effects of educational interventions on antibiotic prescription and the results are controversial. This study was aimed at assessing the effect of a multifaceted practice-based intervention carried out 6 years earlier on current antibiotic prescription for respiratory tract infections (RTIs). Methods: The 210 general practitioners (GPs) who completed the first two registrations in 2008 and 2009 were invited to participate in a third registration. The intervention held before the second registration consisted of discussion about the first registration of results, appropriate use of antibiotics for RTIs, patient brochures, a workshop and the provision of rapid tests. As in the previous registrations, GPs were instructed to complete a template for all the patients with RTIs during 15 working days in 2015. A new group of GPs from the same areas was also invited to participate and acted as controls. A multilevel logistic regression analysis was performed considering the prescription of antibiotics as the dependent variable. Results: A total of 121 GPs included in the 2009 intervention (57.6%) and 117 control GPs registered 22â¯247 RTIs. On adjustment for covariables, compared with the antibiotic prescription observed just after the intervention, GPs assigned to intervention prescribed slightly more antibiotics 6 years later albeit without statistically significant differences (OR 1.08, 95% CI 0.89-1.31, P = 0.46), while GPs in the control group prescribed significantly more antibiotics (OR 2.74, 95% CI 2.09-3.59, P < 0.001). Conclusions: This study shows that a single multifaceted intervention continues to reduce antibiotic prescribing 6 years later.
