Evidence map›Paper›PMID 26347646›Full record

ArticleFrontiers in aging neuroscience2015

Elevated body mass index and maintenance of cognitive function in late life: exploring underlying neural mechanisms.

Chun Liang Hsu, Michelle W Voss, John R Best, Todd C Handy, Kenneth Madden, Niousha Bolandzadeh, Teresa Liu-Ambrose

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  8. The Association of Obesity and Overweight with Executive Functions in Community-Dwelling Older Women.International journal of environmental research and public health · 2023
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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

7 authors at 3 institutions in 2 countries.

Chun Liang HsuAging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia Vancouver, BC, Canada ; Vancouver Health Research Institute Vancouver, BC, Canada ; Djavad Mowafaghian Centre for Brain Health, University of British Columbia Vancouver, BC, Canada ; Center for Hip Health and Mobility, Vancouver General Hospital Vancouver, BC, Canada.
Michelle W VossHealth, Brain, and Cognition Lab, University of Iowa Iowa City, IA, USA ; Department of Psychology, University of Iowa Iowa City, IA, USA.
John R BestAging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia Vancouver, BC, Canada ; Vancouver Health Research Institute Vancouver, BC, Canada ; Djavad Mowafaghian Centre for Brain Health, University of British Columbia Vancouver, BC, Canada ; Center for Hip Health and Mobility, Vancouver General Hospital Vancouver, BC, Canada.
Todd C HandyDepartment of Psychology, University of British Columbia Vancouver, BC, Canada.
Kenneth MaddenDepartment of Medicine, University of British Columbia Vancouver, BC, Canada.
Niousha BolandzadehAging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia Vancouver, BC, Canada ; Vancouver Health Research Institute Vancouver, BC, Canada ; Djavad Mowafaghian Centre for Brain Health, University of British Columbia Vancouver, BC, Canada ; Center for Hip Health and Mobility, Vancouver General Hospital Vancouver, BC, Canada.
Teresa Liu-AmbroseAging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia Vancouver, BC, Canada ; Vancouver Health Research Institute Vancouver, BC, Canada ; Djavad Mowafaghian Centre for Brain Health, University of British Columbia Vancouver, BC, Canada ; Center for Hip Health and Mobility, Vancouver General Hospital Vancouver, BC, Canada.
University of British Columbia · CAVancouver Coastal Health Research Institute · CAUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is associated with vascular risk factors that in turn, may increase dementia risk. However, higher body mass index (BMI) in late life may be neuroprotective. The possible neural mechanisms underlying the benefit of higher BMI on cognition in older adults are largely unknown. Thus, we used functional connectivity magnetic resonance imaging (fcMRI) to examine: (1) the relationship between BMI and functional brain connectivity; and (2) the mediating role of functional brain connectivity in the association between baseline BMI and change in cognitive function over a 12-month period.

methodsWe conducted a 12-month, prospective study among 66 community-dwelling older adults, aged 70 to 80 years, who were categorized as: normal weight (BMI from 18.50 to 24.99); overweight (BMI from 25.00 to 29.99); and obese (BMI ≥ 30.00). At baseline, participants performed a finger-tapping task during fMRI scanning. Relevant neural networks were initially identified through independent component analysis (ICA) and subsequently examined through seed-based functional connectivity analysis. At baseline and 12-months, we measured three executive cognitive processes: (1) response inhibition; (2) set shifting; and (3) working memory.

resultsObese individuals showed lower task-related functional connectivity during finger tapping in the default mode network (DMN) compared with their healthy weight counterparts (p < 0.01). Lower task-related functional connectivity in the DMN at baseline was independently associated with better working memory performance at 12-months (p = 0.02). Finally, DMN functional connectivity during finger tapping significantly mediated the relationship between baseline BMI and working memory at 12-months (indirect effect: -0.155, 95% confidence interval [-0.313, -0.053]).

conclusionsThese findings suggest that functional connectivity of the DMN may be an underlying mechanism by which higher BMI confers protective effects to cognition in late life.

Indexed as

body mass indexdefault mode network (DMN)executive functionsmediation analysisolder adults

Identifiers

PMID26347646
PMCPMC4539697
OpenAlexW1912589144

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.