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Association of metabolic syndrome with cognitive function: The role of sex and age
- Source :
- Clinical Nutrition. 27:747-754
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
Abstract
- Summary Background & aims Cognitive impairment is a prevalent condition in older populations, independently associated with disability and mortality. Some studies have suggested a negative correlation between metabolic syndrome (MetS) and cognitive functioning, but results in older subjects are controversial. The aim of this study was to evaluate the association of cognitive performance with MetS in an older unselected population. Methods We evaluated the association of the Hodkinson Abbreviated Mental Test (AMT) score with MetS, as defined by the National Cholesterol Education Program's ATP-III criteria, in all 353 subjects aged 75+ living in Tuscania (Italy). Results MetS was positively associated with the AMT score in multivariable linear regression analysis, after adjusting (B = 0.45, 95% CI = 0.04–0.90; p = 0.03). When the same regression model was analyzed after stratifying for sex, such an association was significant in women (B = 0.76, 95% CI = 0.16–1.36; p = 0.01), but not in men. Also, when the regression model was analyzed in women, MetS was associated with better cognition (B = 1.41, 95% CI = 0.51–2.30; p Conclusions MetS is associated with better cognitive performance in community-dwelling elderly; such an association seems to depend upon the oldest female subjects.
- Subjects :
- Male
Gerontology
Aging
medicine.medical_specialty
Epidemiology
Cognitive performance
Elderly
Metabolic syndrome
Critical Care and Intensive Care Medicine
Cognition
Sex Factors
medicine
Humans
Effects of sleep deprivation on cognitive performance
Cognitive skill
Association (psychology)
National Cholesterol Education Program
Aged
Aged, 80 and over
Intelligence Tests
Metabolic Syndrome
Sex Characteristics
Nutrition and Dietetics
business.industry
Settore MED/09 - MEDICINA INTERNA
Age Factors
Regression analysis
medicine.disease
Italy
Linear Models
Female
business
Demography
Subjects
Details
- ISSN :
- 02615614
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Clinical Nutrition
- Accession number :
- edsair.doi.dedup.....55de1db8c02776f883634873c453a611