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Sex Differences In The Relationships Among Grey Matter Volume, Physical Activity And Obesity In Aging

2022· article· en· W4294840800 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Perception and Purchasing Behavior
Canadian institutionsMcGill UniversityUniversité de MontréalConcordia University
Fundersnot available
KeywordsGrey matterVolume (thermodynamics)Physical activityObesityPsychologyDemographyMedicinePhysical medicine and rehabilitationInternal medicinePhysicsSociologyThermodynamics

Abstract

fetched live from OpenAlex

SYNOPSIS: In aging, those with obesity have worsened structural integrity compared to lean. Conversely, those with greater physical activity levels (PA) have enhanced cerebral structure. Thus, the protective effects of PA could alleviate the negatives of obesity. As there are known sex differences in structural integrity, the relationships between obesity and PA were investigated separately by sex. We identified that females with higher PA, regardless of obesity, had enhanced grey matter volume (GMV), whereas overweight males with higher PA had higher GMV compared to lower PA overweight. PURPOSE: to identify potential sex differences in the relationships among physical activity and fitness, obesity and GMV in aging. METHODS: Two unique datasets were combined; 226 females (62.8 yo ± 4.8) and 88 (63.2 yo ± 4.7) males participated in this study. Participants underwent a 3 T Magnetic resonance imaging scan, with a T1-weighted acquisition to quantify GMV. Height and weight was measured to calculate body mass index (BMI). Fitness was measured for study 1 with a VO2peak test (referred to as PA here), whereas study 2 was a PA questionnaire used to quantify weekly total Metabolic Equivalents. For each study, BMI and PA outcomes were converted to sex-specific z-scores. PA was median-split into high PA and low PA groups, and each sex groups was separated into: i) lean; ii) high PA overweight; and iii) low PA overweight. RESULTS: Females with high compared to low PA demonstrated increased GMV in frontal, temporal and hippocampal regions (all p’s < 0.05). No differences between lean, and high and low Fitness/PA overweight groups (p > 0.05) were found in females. Males showed no significant difference in GMV between PA level (p > 0.05). However, lean males had higher GMV than high and low PA overweight, and overweight high PA males had greater GMV than overweight low PA males in frontal, parietal, and temporal regions (p < 0.05). CONCLUSION: Sex-specific relationships among GMV, PA and obesity were revealed. Thus, suggesting enhanced GMV occurs in lean males, yet in those who are overweight, having greater PA levels is seemingly able to alleviate the effects of obesity on the brain. Future work should include other imaging parameters, such as perfusion, to identify if these differences are co-occurring in the same GMV regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.269
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it