Prevalence and correlates of meeting 24-hour movement guidelines and its associations with physical fitness and depressive symptoms among adults: a provincial surveillance in China
Bibliographic record
Abstract
BACKGROUND: 24-hour movement behaviors integrating physical activity (PA), sedentary behavior (SB), and sleep are important components influencing adults' health. Canadian 24-hour movement guidelines for adults were launched in 2020. However, there is little evidence on the prevalence and correlates of guideline compliance and its associations with health outcomes among Chinese adults. The purposes of this study were to investigate the prevalence and correlates of meeting 24-hour movement guidelines and examine its association with physical fitness and depressive symptoms among Chinese adults. METHODS: A total of 7059 adults (45.73 ± 14.56 years, age range: 20-79 years, 52% female) were recruited by stratified cluster random sampling from health surveillance of Hubei, China, between 25-Jul and 19-Nov 2020 during the COVID-19 pandemic. Participants completed a self-reported questionnaire including movement behaviors (PA, SB, and sleep), depressive symptoms, and demographic information. In addition, eight objectively measured physical fitness tests (body mass index, waist-hip ratio, body fat percentage, vital capacity, handgrip strength, flexibility, balance, and choice reaction time) were conducted. SPSS 28.0 was used to perform Generalized Linear Mixed Models analysis to examine the correlates of movement guidelines and its association with fitness and depressive symptoms. RESULTS: 25.54% of participants met all three movement guidelines, while 48.62% met only two, 23.10% met one, and 2.75% met none. Participants who were older adults (OR = 2.24; P = .017), unmarried (OR = 0.21; P < .001), and living near PA facilities (OR = 1.58; P = .017) were more likely to meet all three movement guidelines. Meeting more movement recommendations was associated with less likelihood of depressive symptoms (OR = 0.41; P < .001), while no significant associations were observed between meeting 24-hour movement guidelines and physical fitness indicators (P > .05). CONCLUSIONS: The findings of this study indicate the need to promote adherence to all movement guidelines among Chinese adults. Future promoting strategies to meet movement guidelines should emphasize the demographic differences of the targeting population, especially age, marital status, and accessibility of PA facilities. Future interventions should be applied to affirm the effects of compliance with overall 24-hour movement guidelines to mitigate depressive symptoms among 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".