Evidence map›Paper›PMID 31999164›Full record

ArticleNeuropsychology2020

Body mass index predicts cognitive aging trajectories selectively for females: Evidence from the Victoria Longitudinal Study.

Linzy Bohn, G Peggy McFall, Sandra A Wiebe, Roger A Dixon

Abstract read
In one paragraph

Article in Neuropsychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

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

17 citing papers in PubMed.

  1. Article
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  4. Body Mass Index and Memory Across 18 Years in the Wisconsin Longitudinal Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 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

4 authors.

Linzy BohnDepartment of Psychology.ORCID 0000-0002-9412-1422
G Peggy McFallDepartment of Psychology.
Sandra A WiebeDepartment of Psychology.ORCID 0000-0002-6267-4268
Roger A DixonDepartment of Psychology.

Funding

LONGITUDINAL STUDY OF COGNITIVE AGINGR01AG008235 · NIA · UNIVERSITY OF VICTORIA · PI DIXON, ROGER A · 1989 to 2017
$2.3M
Canada Research Chairs ProgramCanadian Consortium on Neurodegeneration in AgingCIHRNational Institutes of Health; National Institute on AgingNIA NIH HHS R01 AG008235Social Sciences and Humanities Research Council of Canada
6 · The paper itself

Abstract

objectiveElevated body weight in midlife is an established risk factor for accelerated cognitive decline, impairment, and dementia. Research examining the impact of later-life body mass index (BMI) on normal cognitive aging has produced mixed results. There is a need for longitudinal designs, replication across multiple cognitive domains, and consideration of BMI effects in the context of important moderators. The present research examined (a) BMI prediction of neuropsychological performance and decline in executive function (EF), neurocognitive speed, and memory and (b) sex stratification of BMI effects.

methodParticipants (

resultsHigher BMI predicted less decline in EF, neurocognitive speed, and memory. Interestingly, when the data were stratified by sex, higher BMI predicted less neuropsychological decline across domains for females only. BMI was unrelated to cognitive aging trajectories for males.

conclusionsWe found that elevated BMI was a risk-reducing factor for cognitive decline only for females. Results may be used to enhance the precision with which intervention protocols may target specific subgroups of older adults. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Indexed as

Body Mass IndexAgedAged, 80 and overCognitive AgingCognitive DysfunctionExecutive FunctionFemaleHumansLongitudinal StudiesMaleMemoryMiddle AgedNeuropsychological TestsObesityPredictive Value of TestsPsychomotor Performance

Identifiers

PMID31999164
PMCPMC7182480

What OpenQuestion holds

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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 OpenQuestion graph.