Electronic screen technology use and connection to nature in Canadian adolescents: a mixed methods study
Bibliographic record
Abstract
OBJECTIVES: Declines in exposure to nature may deprive young people of experiences that are positive for their mental health. One factor that may interfere with connections to nature is use of electronic screen technologies. The objectives of this study are to (1) document variations in the perceived importance of connections to nature nationally among adolescents; (2) explore relationships between these connections and the use of electronic screens, both epidemiologically and qualitatively; and (3) integrate core findings from both strands in order to provide evidence-based recommendations for health promotion. METHODS: The study involved a mixed methods design. Strand 1 involved a qualitative study of 74 Canadians (ages 10-18, years 2016-2018) with data collected through focus groups and interviews. Strand 2 involved a cross-sectional observational analysis of a national survey of 23,920 Canadians (ages 11-15, years 2013-2014). Findings from both strands were integrated through an established protocol. RESULTS: Increased use of electronic screen technology was consistently associated with lower perceived importance of connections to nature. Barriers to connecting to nature included choices that young people are making, the addictive properties of technology, and beliefs that being indoors is more comfortable and safer than being outdoors. When young people disconnected, their appreciation of being outdoors increased. INTERPRETATION: This novel study showed, quantitatively, that the time young people spend with electronic screens displaces time that they spend engaging in outdoor activities. Deeper reasons why such associations occur emerged in the qualitative strand. Temporary disconnection from screens may lead to renewed opportunities for outdoor exposures.
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 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 | 0.003 | 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 | 0.001 |
| 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".