Evidence map›Paper›PMID 36781598›Full record

ArticleGeroScience2023

Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults.

Brittany Intzandt, Safa Sanami, Julia Huck, PREVENT-AD Research group, Sylvia Villeneuve, Louis Bherer, Claudine J Gauthier

Abstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The PREVENT-AD cohort: Accelerating Alzheimer's disease research and treatment in Canada and beyond.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Review
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.

Brittany IntzandtSchool of Graduate Studies, Concordia University, Montreal, H3G 1N1, Canada.
Safa SanamiPERFORM Centre, Concordia University, Montreal, H4B 1R6, Canada.
Julia HuckPERFORM Centre, Concordia University, Montreal, H4B 1R6, Canada.
PREVENT-AD Research group
Sylvia VilleneuveDouglas Mental Health University Institute, Montreal, H4H 1R3, Canada.
Louis BhererCentre de Recherche de L'Institut Universitaire de Gériatrie de Montréal, Montréal, H3W 1W6, Canada.
Claudine J GauthierPERFORM Centre, Concordia University, Montreal, H4B 1R6, Canada. claudine.gauthier@concordia.ca.

Funding

CIHR
6 · The paper itself

Abstract

Independently, obesity and physical activity (PA) influence cerebral structure in aging, yet their interaction has not been investigated. We examined sex differences in the relationships among PA, obesity, and cerebral structure in aging with 340 participants who completed magnetic resonance imaging (MRI) acquisition to quantify grey matter volume (GMV) and white matter volume (WMV). Height and weight were measured to calculate body mass index (BMI). A PA questionnaire was used to estimate weekly Metabolic Equivalents. The relationships between BMI, PA, and their interaction on GMV Regions of Interest (ROIs) and WMV ROIs were examined. Increased BMI was associated with higher GMV in females, an inverse U relationship was found between PA and GMV in females, and the interaction indicated that regardless of BMI greater PA was associated with enhanced GMV. Males demonstrated an inverse U shape between BMI and GMV, and in males with high PA and had normal weight demonstrated greater GMV than normal weight low PA revealed by the interaction. WMV ROIs had a linear relationship with moderate PA in females, whereas in males, increased BMI was associated with lower WMV as well as a positive relationship with moderate PA and WMV. Males and females have unique relationships among GMV, PA and BMI, suggesting sex-aggregated analyses may lead to biased or non-significant results. These results suggest higher BMI, and PA are associated with increased GMV in females, uniquely different from males, highlighting the importance of sex-disaggregated models. Future work should include other imaging parameters, such as perfusion, to identify if these differences co-occur in the same regions as GMV.

Indexed as

White MatterAgedAgingCerebral CortexFemaleGray MatterHumansMaleObesityGray matter volumeObesityPhysical activitySexual dimorphisms

Identifiers

PMID36781598
PMCPMC10400512

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.