Evidence map›Paper›PMID 29444740›Full record

ArticleInternational psychogeriatrics2018

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

Manqiong Yuan, Jia Chen, Yaofeng Han, Xingliang Wei, Zirong Ye, Liangwen Zhang, Y Alicia Hong, Ya Fang

Abstract read
In one paragraph

Article in International psychogeriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Manqiong YuanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Jia ChenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Yaofeng HanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Xingliang WeiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Zirong YeState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Liangwen ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.
Y Alicia HongSchool of Public Health,Texas A&M University,College Station,TX,USA.
Ya FangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University,Xiamen 361102,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ABSTRACTBackground: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.

methodsWe 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.

resultsAmong 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.

conclusionsLifestyle 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.

Indexed as

Educational StatusIndependent LivingLeisure ActivitiesLife StyleAgedAged, 80 and overChinaCognitionCross-Sectional StudiesExerciseFemaleHumansMaleMemoryMiddle AgedNeuropsychological Testseducation-specificlifestyle factorsmulti-domain cognitive healthproportional odds modelthe elderly

Identifiers

PMID29444740
PMCPMC6316383

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.