An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course

Objective: Information is required regarding cognitive health beliefs and behaviours from across the life in order to inform the design of interventions to optimise cognitive health and reduce the risk of cognitive impairment. Methods: A survey of Australian adults aged 20–89 was administered via Co...

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Main Authors: Diane E. Hosking, Kerry A. Sargent-Cox, Kaarin J. Anstey
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:Preventive Medicine Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335515000789
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spelling doaj-493a1a9c715a4f299f858d663faa20f02020-11-24T20:42:53ZengElsevierPreventive Medicine Reports2211-33552015-01-012C49850410.1016/j.pmedr.2015.06.008An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life courseDiane E. HoskingKerry A. Sargent-CoxKaarin J. AnsteyObjective: Information is required regarding cognitive health beliefs and behaviours from across the life in order to inform the design of interventions to optimise cognitive health and reduce the risk of cognitive impairment. Methods: A survey of Australian adults aged 20–89 was administered via Computer Assisted Telephone Interviewing (CATI) software to respondents recruited by random digit dialling (N = 900). Socio-demographic and self-reported health information was collected to investigate associations with cognitive health responses. Results: Alcohol abuse was nominated by the highest proportion of respondents (34.3%) as detrimental for brain health. Fewer than 5% nominated elevated cholesterol, blood pressure, obesity, poor education, or ageing. The most frequently endorsed protective activity was socialising (70%). Socio-demographic factors predicted responses. Age-group differences were apparent in the proportions nominating alcohol (X2 = 24.2; p < .001), drugs (X2 = 56.8; p < .001), smoking (X2 = 13.1; p = .001), nutrition (X2 = 20.4; p < .001), and mental activity (X2 = 12.8; p = .002) as relevant to brain health. Activities undertaken for cognitive benefit also differed by age. Across all ages the perceived benefit of activities was not supported by intentions to undertake activities. Conclusions: Interventions are needed to inform and motivate people across the life-course to undertake behaviours specifically to optimise their cognitive health.http://www.sciencedirect.com/science/article/pii/S2211335515000789CognitionPreventive medicineSurveysBeliefsBehaviourAdults
collection DOAJ
language English
format Article
sources DOAJ
author Diane E. Hosking
Kerry A. Sargent-Cox
Kaarin J. Anstey
spellingShingle Diane E. Hosking
Kerry A. Sargent-Cox
Kaarin J. Anstey
An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
Preventive Medicine Reports
Cognition
Preventive medicine
Surveys
Beliefs
Behaviour
Adults
author_facet Diane E. Hosking
Kerry A. Sargent-Cox
Kaarin J. Anstey
author_sort Diane E. Hosking
title An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
title_short An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
title_full An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
title_fullStr An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
title_full_unstemmed An Australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
title_sort australian survey of cognitive health beliefs, intentions, and behaviours through the adult life course
publisher Elsevier
series Preventive Medicine Reports
issn 2211-3355
publishDate 2015-01-01
description Objective: Information is required regarding cognitive health beliefs and behaviours from across the life in order to inform the design of interventions to optimise cognitive health and reduce the risk of cognitive impairment. Methods: A survey of Australian adults aged 20–89 was administered via Computer Assisted Telephone Interviewing (CATI) software to respondents recruited by random digit dialling (N = 900). Socio-demographic and self-reported health information was collected to investigate associations with cognitive health responses. Results: Alcohol abuse was nominated by the highest proportion of respondents (34.3%) as detrimental for brain health. Fewer than 5% nominated elevated cholesterol, blood pressure, obesity, poor education, or ageing. The most frequently endorsed protective activity was socialising (70%). Socio-demographic factors predicted responses. Age-group differences were apparent in the proportions nominating alcohol (X2 = 24.2; p < .001), drugs (X2 = 56.8; p < .001), smoking (X2 = 13.1; p = .001), nutrition (X2 = 20.4; p < .001), and mental activity (X2 = 12.8; p = .002) as relevant to brain health. Activities undertaken for cognitive benefit also differed by age. Across all ages the perceived benefit of activities was not supported by intentions to undertake activities. Conclusions: Interventions are needed to inform and motivate people across the life-course to undertake behaviours specifically to optimise their cognitive health.
topic Cognition
Preventive medicine
Surveys
Beliefs
Behaviour
Adults
url http://www.sciencedirect.com/science/article/pii/S2211335515000789
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