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Record W2900692888 · doi:10.1108/qaoa-11-2017-0044

Impact of a home-based nutrition and exercise intervention in improving functional capacity associated with falls among rural seniors in Canada

2018· article· en· W2900692888 on OpenAlexaffabout
Shanthi Johnson, Bill McLeod, Sabyasachi Gupta, Katherine M. McLeod

Bibliographic record

VenueQuality in Ageing and Older Adults · 2018
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsAcadia UniversityUniversity of Regina
Fundersnot available
KeywordsMedicineFlexibility (engineering)Context (archaeology)Physical therapyIntervention (counseling)GerontologyRandomized controlled trialNutrition EducationPhysical medicine and rehabilitationNursing

Abstract

fetched live from OpenAlex

Purpose A six-month randomized controlled trial was conducted to examine the impact of a home-based nutrition and exercise intervention on functional capacity to prevent falls among rural seniors. The paper aims to discuss this issue. Design/methodology/approach Men and women ( n =134), aged 60 and older were assigned to one of four groups: exercise, nutrition, exercise-nutrition, and control. Participants in the exercise and exercise-nutrition groups performed a home-based exercise program (Home Support Exercise Program), and the nutrition and exercise-nutrition groups received a liquid nutritional supplement (Ensure®) for six months. Participants were assessed at baseline and six months on functional mobility, balance, flexibility and endurance. Findings There were significant group differences over time for functional reach and the Timed Up and Go test, with significant differences existing between exercise and nutrition-exercise, and exercise and nutrition groups respectively. Overall, the exercise group out-performed the other groups in terms of functional capacity and psychological well-being. Research implications Improvement of functional health among rural seniors is achievable through the delivery of a home-based intervention focusing on exercise and nutrition. Practical implications The study also shows that the effective delivery of an intervention to successfully address a fundamental and persistent problem is possible using existing resources; however, it requires a commitment of focus and energy over considerable time. Social implications The approach and findings helps seniors to age in place in a rural context. It shows feasibility of delivering a practical intervention in the rural setting through the health care infrastructure of home care. Originality/value Apart from the rural context, the study was innovative at many levels. Specifically, this intervention addressed a significant health issue (functional capacity, falls and injuries), involved frail rural seniors (often hard to reach through community-based programs), provided a feasible intervention (multiple component exercise program), used existing infrastructure (e.g. home care), and espoused community development principles (active involvement of community partners, researchers, and trainees). As well, the study had built-in mechanisms for monitoring and support through the involvement of home service workers who received training. This approach created a strong research to practice connection (another innovation) and was critical for the credibility of the investigation, as well as the sustainability of the intervention. Another innovation was the inclusion of a population health perspective as the study framework. From the population health perspective, this research addressed several determinants of health in rural and urban areas that include: physical environment (intervention within people’s home and rural context), social environment and social support networks (through existing infrastructures of home support workers), health services (availability of health promotion strategy delivered through the health care system) and personal health practices and coping skills (exercise).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.652

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.263
Teacher spread0.250 · 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.

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

Citations7
Published2018
Admission routes2
Has abstractyes

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