File Download

There are no files associated with this item.

Conference Paper: Differential role of age, education, and lifestyle on cognition in late life

TitleDifferential role of age, education, and lifestyle on cognition in late life
Authors
KeywordsCognitive reserve
Education and lifestyle
Risk reduction
Issue Date2016
PublisherAlzheimer's Disease International.
Citation
The 31st Annual International Conference of Alzheimer’s Disease International (ADI 2016), Budapest, Hungary, 21-24 April 2016. In Abstract Book, 2016, p. 91 How to Cite?
AbstractBackground and Objectives: The reported risk reduction effect of higher education and more active lifestyle on cognitive decline has been hypothesized to reflect better cognitive reserve (CR). This study examined the association between age, education, lifestyle, and global cognition in community-dwelling elderly in Hong Kong, and further investigated whether and how the two proxies of CR, namely education and lifestyle, affected the elderly’s cognitive performance differently. Methods: One thousand eight hundred and twenty participants aged 65 and above, not clinically demented at the time of data collection, were recruited using age-stratification random sampling method through 11 public rental housing estates in Hong Kong. Participants’ basic demographic information including age, gender and years of education was collected; their engagement in physical, mental, and social activities was assessed; and their cognitive abilities were measured by the validated Cantonese Chinese Montreal Cognitive Assessment (MoCA). Hierarchical regression model and moderation analysis were performed to evaluate the association between age, education, lifestyle and cognition. Results: Age was negatively associated with cognitive performance (r =-.48, adjusted R2 =2.33, p < .001), while both higher education (r = .41, R2 change = .075, p < .001) and more active participation in social, physical, and mental stimulating activities (r = .11, R2 change =.01, p < .001) were positively associated with more favorable cognitive performance after controlling for age. There was a weak moderation effect of age on the relationship between education and cognition (R2 change =.01, p < .05) after controlling other independent variables, but not on that between lifestyle and cognition. Conclusions: Age, education, and lifestyle are all significant predictors of cognition among elderly over the age of 65 in Hong Kong. Higher education and more active lifestyle as proxies of better CR associate with better cognitive performance, and could potentially delay the onset of dementia. Age appears to have a modulating effect between early-life education and later-life cognition, but it does not affect the relationship between lifestyle and cognition in late life.
DescriptionParallel Session 13 - Risk Reduction and Risk Factors - no. OC073
Persistent Identifierhttp://hdl.handle.net/10722/239106

 

DC FieldValueLanguage
dc.contributor.authorLiu, T-
dc.contributor.authorWong, GHY-
dc.contributor.authorTang, JYM-
dc.contributor.authorLum, TYS-
dc.date.accessioned2017-03-07T06:15:15Z-
dc.date.available2017-03-07T06:15:15Z-
dc.date.issued2016-
dc.identifier.citationThe 31st Annual International Conference of Alzheimer’s Disease International (ADI 2016), Budapest, Hungary, 21-24 April 2016. In Abstract Book, 2016, p. 91-
dc.identifier.urihttp://hdl.handle.net/10722/239106-
dc.descriptionParallel Session 13 - Risk Reduction and Risk Factors - no. OC073-
dc.description.abstractBackground and Objectives: The reported risk reduction effect of higher education and more active lifestyle on cognitive decline has been hypothesized to reflect better cognitive reserve (CR). This study examined the association between age, education, lifestyle, and global cognition in community-dwelling elderly in Hong Kong, and further investigated whether and how the two proxies of CR, namely education and lifestyle, affected the elderly’s cognitive performance differently. Methods: One thousand eight hundred and twenty participants aged 65 and above, not clinically demented at the time of data collection, were recruited using age-stratification random sampling method through 11 public rental housing estates in Hong Kong. Participants’ basic demographic information including age, gender and years of education was collected; their engagement in physical, mental, and social activities was assessed; and their cognitive abilities were measured by the validated Cantonese Chinese Montreal Cognitive Assessment (MoCA). Hierarchical regression model and moderation analysis were performed to evaluate the association between age, education, lifestyle and cognition. Results: Age was negatively associated with cognitive performance (r =-.48, adjusted R2 =2.33, p < .001), while both higher education (r = .41, R2 change = .075, p < .001) and more active participation in social, physical, and mental stimulating activities (r = .11, R2 change =.01, p < .001) were positively associated with more favorable cognitive performance after controlling for age. There was a weak moderation effect of age on the relationship between education and cognition (R2 change =.01, p < .05) after controlling other independent variables, but not on that between lifestyle and cognition. Conclusions: Age, education, and lifestyle are all significant predictors of cognition among elderly over the age of 65 in Hong Kong. Higher education and more active lifestyle as proxies of better CR associate with better cognitive performance, and could potentially delay the onset of dementia. Age appears to have a modulating effect between early-life education and later-life cognition, but it does not affect the relationship between lifestyle and cognition in late life.-
dc.languageeng-
dc.publisherAlzheimer's Disease International.-
dc.relation.ispartofAnnual International Conference of Alzheimer's Disease International, ADI 2016-
dc.subjectCognitive reserve-
dc.subjectEducation and lifestyle-
dc.subjectRisk reduction-
dc.titleDifferential role of age, education, and lifestyle on cognition in late life-
dc.typeConference_Paper-
dc.identifier.emailLiu, T: tianyin@hku.hk-
dc.identifier.emailWong, GHY: ghywong@hku.hk-
dc.identifier.emailTang, JYM: jennitym@hku.hk-
dc.identifier.emailLum, TYS: tlum@hku.hk-
dc.identifier.authorityWong, GHY=rp01850-
dc.identifier.authorityTang, JYM=rp01997-
dc.identifier.authorityLum, TYS=rp01513-
dc.identifier.hkuros272026-
dc.identifier.spage91-
dc.identifier.epage91-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats