PHYSICAL ACTIVITY FROM CHILDHOOD AND ADOLESCENCE TO ADULTHOOD IN MALES AND FEMALES
Bibliographic record
Abstract
A physically active lifestyle in childhood and adolescence is believed to contribute to a physically active lifestyle and health in adult years. There is limited support for this contention from longitudinal studies. Although it is important to establish the nature of the relationship of physical activity from childhood and adolescence to adult years, it is equally significant to understand the reasons underlying this relationship. The purpose of this study was to describe the influence of childhood and adolescent physical activity on adult physical activity attitudes and behaviors. Subjects from the Saskatchewan Growth and Development Study (1964–1973) were recruited to participate in a follow up investigation (1997–1998) when the males and females were 40 and 35 to 39 years of age, respectively. From ages 7 to 16, self-report physical activity questionnaires were completed which provided an overall rating for level of physical activity. Subjects were divided into activity groups using a rank order analysis in which the top 25%, middle 50% and bottom 25% were considered active, average, and inactive respectively. One on one, semi-structure, in-depth interviews were conducted with males (n = 16) and females (n = 15). Data was analyzed using thematic analyses separately for the males and females. In the males, “significant others”, “size and maturation”, and “perception of ability” influenced their adult physical activity attitudes and behaviors. In these three themes, there were clear distinctions among the active, average and inactive males. In the females, “transitions”, “body image concerns”, and “significant others” influenced their adult physical activity attitudes and behaviors. There were no clear differences between the active and inactive females in the themes from their childhood and adolescence. All but two of the active women noted a decrease in their level of physical activity in the transition from elementary to secondary school. Most women developed body image concerns in their adult years and used physical activity as a method of weight control. These results suggest that specific relationships, circumstances and perceptions formed in childhood and adolescence had a lasting influence on adult physical activity attitudes and behaviors in males and females. Supported by a Canadian Fitness and Lifestyles Research Institute Grant % % % %
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".