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Physical Activity Levels and Cardiometabolic Risk Factors in Adults with Asthma-COPD Overlap Syndrome (ACOS).

2017· article· en· W2617801857 on OpenAlexaffabout
David Jagroop, Joshua Good, Shilpa Dogra

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2017
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMedicineAsthmaCOPDNational Health and Nutrition Examination SurveyBody mass indexLogistic regressionPhysical therapyCross-sectional studyDiseaseInternal medicinePhysical activityEnvironmental healthPathologyPopulation

Abstract

fetched live from OpenAlex

Asthma-COPD overlap syndrome (ACOS) is characterized by persistent airflow limitation and symptoms associated with both asthma and chronic obstructive pulmonary disease (COPD). However, those with ACOS have worse health outcomes than those with asthma or COPD alone. Regular physical activity may be important in the management of ACOS and the prevention of cardiometabolic comorbidities. PURPOSE: To investigate the association between physical activity and the presence of ACOS, and second, to investigate the association between physical activity levels and cardiometabolic disease risk factors in adults with ACOS aged 45 years and older. METHODS: The Canadian Community Health Survey (CCHS) is a cross sectional survey that collects information pertaining to the health determinants, health care utilization, and health status of Canadians. Data from respondents with ACOS (n= 1,569) and those without a respiratory condition (n= 64,175) from CCHS version 1.0, 2013 were analyzed. Self-reported physical activity was used to categorize respondents as active or inactive. Self-perceived health, body mass index and physician-diagnosed high blood pressure were used as outcomes. Descriptive statistics were used to calculate the frequencies of outcomes (physical activity level, self-perceived health, high blood pressure, and BMI) within the ACOS and no respiratory disease groups. Logistic regression analyses were conducted to determine the association between physical activity and ACOS, and between physical activity levels and cardiometabolic disease risk factors in ACOS. RESULTS: Those with ACOS were 59% less likely to be physically active than those without a respiratory condition (OR = 0.59, CI = 0.50-0.71). Physically active adults with ACOS had higher odds of good self-perceived health (OR = 2.66, CI = 1.71-4.16), and were 60% less likely to report high blood pressure (OR = 0.60, CI = 0.43-0.86) than those who were inactive. BMI seemed to be an important correlate for self-perceived health, and high blood pressure, but was not significant when used as an outcome. CONCLUSION: Physical activity levels among adults with ACOS are low. This may increase their risk for poor health outcomes. Future research is needed to determine the effectiveness of exercise within this population.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.499
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.308
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes2
Has abstractyes

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