Mitochondrial Fitness Science Communication for Aging Adults: Prospective Formative Pilot Study
Bibliographic record
Abstract
BACKGROUND: A key driver that leads to age-associated decline and chronic disease is mitochondrial dysfunction. Our previous work revealed strong community interest in the concept of mitochondrial fitness, which led to the development of a video-based science communication intervention to prompt behavior change in adults aged 50 years and older. OBJECTIVE: This study aimed to conduct formative and summative evaluations of MitoFit, an instructional, biologically based communication intervention aimed at improving physical activity in older adults aged 50 years and older. METHODS: In the phase-1 formative evaluation, community-dwelling older adults (N=101) rated the acceptability, appropriateness, and helpfulness of our MitoFit video series, titled "How to Slow Down Aging Through Mitochondrial Fitness." In the phase-2 summative evaluation, a subgroup of phase-1 participants (n=19) participated in a 1-month MitoFit intervention prototype to evaluate the intervention and data collection feasibility. RESULTS: In phase 1, participants (mean age 67.8, SD 8.9 y; 75/100, 75% female) rated the MitoFit videos as acceptable (≥4 out of 5 on a Likert-scale survey; from 97/101, 96% to 100/101, 99%), appropriate (101/101, 100%), and helpful (from 95/101, 94% to 100/101, 99%) to support adaptation and continued work on our novel approach. Previous knowledge of mitochondria ranged from 52% (50/97; What are mitochondria?) to 80% (78/97; What are the primary functions of mitochondria?). In phase 2, participants (mean age 71.4, SD 7.9 y; 13/19, 72% female) scored better than the national average (50) on the Patient-Reported Outcomes Measurement Information System-19 for physical function (57), social activities (55.5), depression (41), fatigue (48.6), and sleep disturbance (49.6) but worse for anxiety (55.3) and pain interference (52.4). Additionally, 95% (18/19) of participants demonstrated MitoFit competencies within 2 attempts (obtaining pulse: 19/19, 100%; calculating maximum and zone 2 heart rate: 18/19, 95%; and demonstration of exercises: 19/19, 100%). At 1 month after instruction, 68% (13/19) had completed a self-initiated daily walking/exercise plan and submitted a daily activity log. A walking pulse was documented by 85% (11/13) of participants. The time needed to walk 1 mile ranged from 17.4 to 27.1 minutes. The number of miles walked in 1 month was documented by 62% (8/13) of participants and ranged from 10 miles to 31 miles. The number of days of strength training ranged from 2 to 31 days/month. Intervention feasibility scores ranged from 89% (17/19; seems easy to follow) to 95% (18/19; seems implementable, possible, and doable). Overall, 79% (15/19) stated an intention to continue the MitoFit intervention. Furthermore, 4 weeks after delivery of the prototype intervention, the percentage of participants doing aerobic activity for regular moderate activity increased from 35% (6/17) to 59% (10/17; P=.03). CONCLUSIONS: MitoFit was enthusiastically embraced and is a cost-effective, scalable, and potentially efficacious intervention to advance with community-dwelling older adults.
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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 | 0.031 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".