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Record W2150528913 · doi:10.1093/heapro/dap061

What makes the everyday life of Swedish adolescent girls less stressful: a qualitative analysis

2010· article· en· W2150528913 on OpenAlexaboutno aff
Katarina Haraldsson, Eva‐Carin Lindgren, Cathrine Hildingh, Bertil Marklund

Bibliographic record

VenueHealth Promotion International · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsEveryday lifePsychologyPromotion (chess)Developmental psychologyQualitative researchCharterContent analysisTheme (computing)PopulationSocial psychologyMedicineSociologyPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

Stress is a widespread phenomenon in society today, not least among children and adolescents. Stress-related ill-health has increased in this population and affects girls to a greater extent than boys. Against this background, it is important to acquire knowledge about measures that prevent stress, especially in girls. The aim of this study was therefore to illuminate adolescent girls' experiences and reflections about what makes everyday life less stressful. An explorative design, qualitative content analysis, was used. In-depth interviews were conducted with fifteen 17-year-old girls. The analysis comprised both manifest and latent content and revealed the girls' own experiences of and reflections about what makes everyday life less stressful. Three categories, 'Enjoyment and Recovery', 'Trust' and 'Insight and Influence', and nine subcategories emerged. The latent content of these categories is described by the theme 'access to sources of strength'. It is essential that persons in the girls' surroundings are aware of all sources that provide the strength to resist and prevent stress in everyday life. A climate has to be created in all arenas of the girls' everyday life in which they can access these sources of strength. Utilizing the girls' experiences and views about what needs to be done is the first step towards a preventive and promotive mode of working on their own circumstances and wishes. This approach is consistent with the Ottawa Charter for Health Promotion, which emphasizes the importance of involving the target group.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.136
GPT teacher head0.540
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2010
Admission routes1
Has abstractyes

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