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Impact of Workplace Physical Activity Interventions on Physical Activity and Cardiometabolic Health Among Working-Age Women

2017· review· en· W2980841182 on OpenAlexafffund
Jennifer L. Reed, Stéphanie A. Prince, Cara Elliott, Kerri‐Anne Mullen, Heather Tulloch, Swapnil Hiremath, Lisa M. Cotie, Andrew Pipe, Robert D. Reid

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2017
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchUniversity of Ottawa Heart Institute FoundationUniversity of Ottawa
KeywordsPsychological interventionMedicineGerontologyMetabolic equivalentGrading (engineering)Confidence intervalCohort studyDemographyPhysical therapyPhysical activityNursingInternal medicine

Abstract

fetched live from OpenAlex

Background— Cardiovascular disease is the leading cause of death among women in high-income Organization for Economic Co-operation and Development countries. Physical activity is protective for cardiovascular disease. The realities of modern life require working-age women to address work-related, family, and social demands. Few working-age women meet current moderate-to-vigorous–intensity physical activity (MVPA) recommendations. Given that working-age women spend a substantial proportion of their waking hours at work, places of employment may be an opportune and a controlled setting to implement programs, improving MVPA levels and enhancing cardiometabolic health. Methods and Results— Eight electronic databases were searched to identify all prospective cohort and experimental studies reporting an MVPA outcome of workplace interventions for working-age women (mean age, 18–65 years) in high-income Organization for Economic Co-operation and Development countries. Risk of bias was assessed using the Cochrane risk of bias tool; quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. A qualitative synthesis was performed for all studies, and meta-analyses were conducted where possible. Twenty-four studies met the inclusion criteria; 20 studies were included in the meta-analyses. Workplace interventions significantly increased minutes per week of metabolic equivalents (4 studies; standardized mean differences, 2.07; 95% confidence interval [CI], 1.44 to 2.69), but not minutes per week of MVPA (13 studies; standardized mean differences, 0.38; 95% CI, −0.15 to 0.92) or metabolic equivalents per week (3 studies; standardized mean differences, 0.11; 95% CI, −0.48 to 0.71). Workplace interventions also significantly decreased body mass (7 studies; mean differences, −0.83 kg; 95% CI, −1.64 to −0.02), body mass index (6 studies; mean differences, −0.35 kg/m 2 ; 95% CI, −0.62 to −0.07), low-density lipoprotein (4 studies; mean differences, −0.11 mmol/L; 95% CI, −0.17 to −0.04), and blood glucose (2 studies; mean differences, −0.18 mmol/L; 95% CI, −0.29 to −0.07). These workplace interventions targeting MVPA levels and known beneficial cardiometabolic health sequelae were of lower quality evidence. Conclusions— Workplace interventions variably improve MVPA levels and related cardiometabolic health sequelae of working-age women in high-income Organization for Economic Co-operation and Development countries. Our findings underscore the need for ongoing research in this area but also increased dissemination of the existing programs and knowledge.

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)0.007
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.010
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.327
GPT teacher head0.508
Teacher spread0.181 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations72
Published2017
Admission routes2
Has abstractyes

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