Cargando…

Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level

BACKGROUND: Cognition is multidimensional, and each domain plays a unique and crucial part in successful daily life engagement. However, less attention has been paid to multi-domain cognitive health for the elderly, and the role of lifestyle factors in each domain remains unclear. METHODS: We conduc...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Manqiong, Chen, Jia, Han, Yaofeng, Wei, Xingliang, Ye, Zirong, Zhang, Liangwen, Hong, Y. Alicia, Fang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316383/
https://www.ncbi.nlm.nih.gov/pubmed/29444740
http://dx.doi.org/10.1017/S1041610217003076
_version_ 1783384517069766656
author Yuan, Manqiong
Chen, Jia
Han, Yaofeng
Wei, Xingliang
Ye, Zirong
Zhang, Liangwen
Hong, Y. Alicia
Fang, Ya
author_facet Yuan, Manqiong
Chen, Jia
Han, Yaofeng
Wei, Xingliang
Ye, Zirong
Zhang, Liangwen
Hong, Y. Alicia
Fang, Ya
author_sort Yuan, Manqiong
collection PubMed
description BACKGROUND: Cognition is multidimensional, and each domain plays a unique and crucial part in successful daily life engagement. However, less attention has been paid to multi-domain cognitive health for the elderly, and the role of lifestyle factors in each domain remains unclear. METHODS: We conducted a cross-sectional study of 3,230 older adults aged 60+ years in Xiamen, China, in 2016. The Montreal Cognitive Assessment (MoCA) was used to measure general cognition and six specific sub-domains. To account for educational effects, we adjusted the MoCA score and divided respondents into three education-specific groups (low, moderate, and high education groups with ≤5, 6~8, and ≥9 years of education, respectively). A series of proportional odds models were used to detect the associations between two categories of lifestyle factors – substance abuse (cigarette and alcohol) and leisure activity (TV watching, reading, smartphone use, social activity, and exercise) – and general cognition and the six sub-domains in those three groups. RESULTS: Among the 3,230 respondents, 2,617 eligible participants were included with a mean age of 69.05 ± 7.07 years. Previous or current smoking/drinking was not associated with MoCA scores in the whole population, but unexpectedly, the ex-smokers in the low education group performed better in general cognition (OR = 2.22) and attention (OR = 2.05) than their never-smoking counterparts. Modest TV watching, reading, and smartphone use also contributed to better cognition among elderly participants in the low education group. For the highly educated elderly, comparatively longer reading (>3.5 hours/week) was inversely associated with general cognition (OR = 0.53), memory (OR = 0.59), and language (OR = 0.54), while adequate exercise (5~7 days/week) was positively related to these factors with OR = 1.48, OR = 1.49, and OR = 1.53, respectively. For the moderately educated elderly, only modest reading was significantly beneficial. CONCLUSIONS: Lifestyle factors play different roles in multidimensional cognitive health in different educational groups, indicating that individual intervention strategies should be designed according to specific educational groups and different cognitive sub-domains.
format Online
Article
Text
id pubmed-6316383
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-63163832019-01-11 Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level Yuan, Manqiong Chen, Jia Han, Yaofeng Wei, Xingliang Ye, Zirong Zhang, Liangwen Hong, Y. Alicia Fang, Ya Int Psychogeriatr Original Research Article BACKGROUND: Cognition is multidimensional, and each domain plays a unique and crucial part in successful daily life engagement. However, less attention has been paid to multi-domain cognitive health for the elderly, and the role of lifestyle factors in each domain remains unclear. METHODS: We conducted a cross-sectional study of 3,230 older adults aged 60+ years in Xiamen, China, in 2016. The Montreal Cognitive Assessment (MoCA) was used to measure general cognition and six specific sub-domains. To account for educational effects, we adjusted the MoCA score and divided respondents into three education-specific groups (low, moderate, and high education groups with ≤5, 6~8, and ≥9 years of education, respectively). A series of proportional odds models were used to detect the associations between two categories of lifestyle factors – substance abuse (cigarette and alcohol) and leisure activity (TV watching, reading, smartphone use, social activity, and exercise) – and general cognition and the six sub-domains in those three groups. RESULTS: Among the 3,230 respondents, 2,617 eligible participants were included with a mean age of 69.05 ± 7.07 years. Previous or current smoking/drinking was not associated with MoCA scores in the whole population, but unexpectedly, the ex-smokers in the low education group performed better in general cognition (OR = 2.22) and attention (OR = 2.05) than their never-smoking counterparts. Modest TV watching, reading, and smartphone use also contributed to better cognition among elderly participants in the low education group. For the highly educated elderly, comparatively longer reading (>3.5 hours/week) was inversely associated with general cognition (OR = 0.53), memory (OR = 0.59), and language (OR = 0.54), while adequate exercise (5~7 days/week) was positively related to these factors with OR = 1.48, OR = 1.49, and OR = 1.53, respectively. For the moderately educated elderly, only modest reading was significantly beneficial. CONCLUSIONS: Lifestyle factors play different roles in multidimensional cognitive health in different educational groups, indicating that individual intervention strategies should be designed according to specific educational groups and different cognitive sub-domains. Cambridge University Press 2018-10 2018-02-15 /pmc/articles/PMC6316383/ /pubmed/29444740 http://dx.doi.org/10.1017/S1041610217003076 Text en © International Psychogeriatric Association 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Article
Yuan, Manqiong
Chen, Jia
Han, Yaofeng
Wei, Xingliang
Ye, Zirong
Zhang, Liangwen
Hong, Y. Alicia
Fang, Ya
Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title_full Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title_fullStr Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title_full_unstemmed Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title_short Associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
title_sort associations between modifiable lifestyle factors and multidimensional cognitive health among community-dwelling old adults: stratified by educational level
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316383/
https://www.ncbi.nlm.nih.gov/pubmed/29444740
http://dx.doi.org/10.1017/S1041610217003076
work_keys_str_mv AT yuanmanqiong associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT chenjia associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT hanyaofeng associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT weixingliang associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT yezirong associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT zhangliangwen associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT hongyalicia associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel
AT fangya associationsbetweenmodifiablelifestylefactorsandmultidimensionalcognitivehealthamongcommunitydwellingoldadultsstratifiedbyeducationallevel