Tracking Of Physical Activity Patterns From Late Childhood To Young Adulthood
Bibliographic record
Abstract
Physical activity is a critical component of a healthy lifestyle throughout the lifespan and has been shown to be positively related to a variety of health outcomes. Despite these benefits and the speculation that activity levels during childhood tracks into adulthood, little is known about tracking of physical activity patterns due to the paucity of prospective data linking childhood and adult physical activity. PURPOSE: To investigate trends and tracking of physical activity from late childhood into young adulthood. METHODS: Between 1991 and 1993, 253 subjects (chronologically aged (CA) 8 to 15 years) were recruited into a mixed-longitudinal study examining the role of physical activity (PA) on body composition development during childhood and adolescence. In 2007, 169 participants remained in the study (CA 23 to 30 years). Biological age (BA) was calculated as years from peak height velocity. PA was assessed using the PAQ C/A/AD questionnaires. For this analysis subjects' required measurements in childhood and adulthood. PA was correlated at three, six, nine, and 12 year intervals. Paired-samples t-tests were used to find differences in PA levels between time points. RESULTS: Physical activity was found to decrease (p<0.05) after 10 years of age reaching a plateau between 15 and 17 years (p>0.05). When aligned by BA PA peaked prior to PHV and declined thereafter (p<0.05), before reaching a plateau at a BA of +4 years. Males were more active than females between the ages of 10 and 16 years (p<0.05); however, no PA differences between genders were found at any BA (p>0.05). Interage CA correlations ranged from r = 0.31-0.69, 0.17-0.67,-0.04-0.5 and -0.21-0.4 at three, six-, nine- and 12-year intervals, respectively. Correlations of BA intervals ranged from r = 0.05-0.81 (p<0.05) over the same interval lengths. CONCLUSION: PA decreases with increasing CA and BA age, plateauing at 16 and 18 years (4 years after PHV) respectively for males and females. Tracking of PA was low to moderate and decreased in sensitivity with increasing interval time. These results suggest that high childhood PA does not predict high adult PA. Maintenance of PA throughout childhood, adolescence and young adulthood may be most beneficial for adult PA levels and positive health outcomes.
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 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 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".