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Record W6981725224

Examining the prevalence of sarcopenic obesity and its association with frailty in community-dwelling middle aged and older females

2022· dissertation· en· W6981725224 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsSarcopenic obesityWaistSarcopeniaObesityBody mass indexPopulationMuscle mass
DOInot available

Abstract

fetched live from OpenAlex

Sarcopenic obesity is the co-existence of low muscle mass and excess fat mass and can place frail individuals at increased risk of disability, chronic diseases, and mortality. Due to a lack of standardized criteria, the prevalence of sarcopenic obesity varies across definitions. The purpose of this cross-sectional study is to determine the prevalence of sarcopenic obesity using different published diagnostic criteria and its association with frailty in a population of Manitoba females, aged 55 years and older. Further, the prevalence of sarcopenic obesity and its association with frailty with the addition of handgrip strength (HGS) stratified by Body Mass Index (BMI) to sarcopenic obesity diagnostic criteria was examined to determine if the inclusion of HGS as part of existing diagnostic criteria strengthens the association between sarcopenic obesity and frailty. Finally, the relationship between BMI, waist circumference (WC) and frailty were explored to determine if a U-shaped relationship was observed in the study cohort. The relationship between Percentage Body Fat (%BF), WC, and frailty was also explored to determine if %BF exhibits a similar relationship with frailty compared to BMI. Diagnostic criteria were selected for analysis if body composition was measured using Bioelectric impedance analysis (BIA) and sex-specific (female) cut-off values were included. 20 diagnostic criteria were considered for analysis. The association between frailty and sarcopenic obesity was determined using a Spearman’s correlation. An unpaired t-test was performed in any models that were correlated in order to compare the frailty index scores between sarcopenic obesity levels. The prevalence of sarcopenic obesity ranged from 0% - 39%. Sarcopenic obesity was only significantly associated with frailty when using weight-adjusted or unadjusted diagnostic criteria, whereas there was no difference in frailty index scores in height-adjusted definitions. The addition of HGS lowered the prevalence of sarcopenic obesity in this cohort, ranging from 0%-5% and did not change the association with frailty in any criteria that did not already demonstrate an association. Lastly, a U-shaped relationship was not observed in this cohort, however, frailty index scores were higher in those within the top two BMI (30.1-35 kg/m2 and >35kg/m2) and top two %BF (37-41.7% and >41.8%) categories in the high WC group. This research expands the understanding of current sarcopenic obesity published diagnostic criteria and their association with frailty. The research revealed that weight-adjusted sarcopenic obesity criteria detect differences in frailty. Further, this thesis demonstrated that the inclusion of HGS in criteria did not improve the association between sarcopenic obesity and frailty. Finally, the cohort did not have a U-shaped relationship between frailty and BMI, or frailty and %BF in either low or high WC groups.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.298
Teacher spread0.212 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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