Physical activity patterns in Greenland: A country in transition
Bibliographic record
Abstract
AIMS: To examine differences in physical activity patterns among Inuit in Greenland in relation to social transition. The Inuit in Greenland are an indigenous population in the circumpolar north who are experiencing rapid social transition. METHODS: Physical activity patterns were assessed by the International Physical Activity Questionnaire (long version). The population was divided into six groups according to different stages of social change, measured on the basis of education, current residence and occupation. Data were collected in a country-wide cross-sectional population survey among adult Inuit in Greenland from 2005 to 2009. RESULTS: Men with long vocational or academic education living in towns (latest stage of social change) spent significantly less time on occupational physical activity (p = 0.001) compared with hunters and fishermen in villages (earliest stage of social change) (trend test p = 0.01). Women in the latest stage of change spent significantly less time on domestic physical activity (p < 0.001) (trend test p = 0.06) compared with women in the earliest stage of social change. This was also found for physical activity during transportation (p = 0.02 and p = 0.01 for men and women, respectively). No significant difference was found for leisure time physical activity. Men and women in the latest stage of social change spent more time on sedentary activity (p < 0.001). CONCLUSIONS: Differences in physical activity patterns among Inuit in Greenland included decreasing time spent on domestic and occupational physical activity and increasing time spent on sedentary activities along with social change. Knowledge of changes in physical activity patterns in relation to social transition is important in prevention of obesity, type 2 diabetes and lifestyle diseases.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".