Group-Based Nutrition Interventions to Promote Health and Mobility in Community-Dwelling Older Adults: A Systematic Review
Bibliographic record
Abstract
Abstract Objective: To identify the efficacy of group-based nutrition interventions to increase healthy eating, reduce nutrition risk, improve nutritional status, and improve physical mobility among community-dwelling older adults.Design: Systematic review. Electronic databases MEDLINE, CINAHL, EMBASE, PsycINFO, and Sociological Abstracts were searched on July 15, 2020, for studies published in English since January 2010. Study selection, critical appraisal (using the Joanna Briggs Institute’s critical appraisal tools), and data extraction were performed in duplicate by two independent reviewers.Setting: Nutrition interventions delivered to groups in community-based settings were eligible. Studies delivered in acute or long-term care settings were excluded.Participants: Community-dwelling older adults aged 55+ years. Studies targeting specific disease populations or promoting weight loss were excluded.Results: Thirty-one experimental and quasi-experimental studies with generally unclear-high risk of bias were included. A broad range of interventions were identified, including nutrition education with behaviour change techniques (e.g., goal setting, interactive cooking demonstrations) (n=21), didactic nutrition education (n=4), interactive nutrition education (n=2), food access (n=2), and nutrition education with behaviour change techniques and food access (n=2). Group-based nutrition education with behaviour change techniques demonstrated the most promise in improving food and fluid intake, nutritional status, and healthy eating knowledge compared to baseline or control. The impact on mobility outcomes was unclear. Conclusions: Our findings should be interpreted with caution related to generally low certainty, unclear-high risk of bias, and high heterogeneity across interventions and outcomes in this body of literature. Quality research in group-based nutrition education for older adults is needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".