Acceptability of and Willingness to Use Virtual Reality Exergames for Weight Loss Among Young Adults With Overweight or Obesity in China: Qualitative Study
Bibliographic record
Abstract
Background: Overweight and obesity seriously affect physical and psychological health worldwide. They are common public health issues in young adults who are considered a "vulnerable group" prone to adopt unhealthy lifestyles that can lead to overweight and obesity. Virtual reality exergames could help increase balance performance among patients with Parkinson disease and improve depression and pain interference among individuals with chronic neck pain. Still, limited research has been conducted on the use of virtual reality exergames among young adults with overweight and obesity, and their willingness and acceptability remain unclear. objectives: This study aimed to assess the acceptability of and willingness to use virtual reality exergames for weight loss among young adults with overweight or obesity. Methods: This was a qualitative study. Sixteen young adults with overweight or obesity were recruited in Guangzhou, China, and divided into 4 focus groups. They were interviewed between September and October 2023 through semistructured interviews. NVivo (version 14; Lumivero) was used to transcribe, code, and thematically analyze interviews. Results: Four main themes and 8 subthemes emerged from the data. The main themes included perception of previous weight loss measures (regarded exercise and diet as the main measures for weight loss and difficulties in holding on to the weight loss methods), acceptability of virtual reality exergames (increasing opportunities for exercise, a powerful means for propelling doing exercise, positive impact on psychological well-being, and more appealing to office workers than students), willingness to use virtual reality exergames, and concerns (weight loss effect and other concerns). Conclusions: Virtual reality exergames were seen as beneficial for maintaining exercise and promoting psychological well-being among young adults with overweight or obesity, despite concerns about effectiveness, cost, and privacy. Almost all young adults indicated their willingness to try these kinds of games if given the opportunity. These findings suggested that virtual reality exergames could be a promising tool for weight management in this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".