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Record W2148549408 · doi:10.1186/1475-9276-5-10

Mastery, perceived stress and health-related behaviour in northeast Arnhem Land: a cross-sectional study

2006· article· en· W2148549408 on OpenAlexaff
Mark Daniel, Alex Brown, JGarnggulkpuy Dhurrkay, Margaret Cargo, Kerin O’Dea

Bibliographic record

VenueInternational Journal for Equity in Health · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteUniversité de Montréal
FundersNational Health and Medical Research CouncilMedical Research CouncilUniversity of MelbourneMenzies School of Health Research
KeywordsPsychosocialIndigenousPublic healthCross-sectional studyGerontologyMedicinePopulationDisadvantagedCommunity healthPopulation healthSocioeconomic statusDemographyEnvironmental healthPsychologyPsychiatryEcology

Abstract

fetched live from OpenAlex

BACKGROUND: Indigenous peoples in Australia are disadvantaged on all markers of health and social status across the life course. Psychosocial factors are implicated in the aetiology of chronic diseases and in pathways underpinning social health disparities. Minimal research has investigated psychosocial factors and health in Indigenous peoples. This study evaluated associations between mastery, perceived stress, and health-related behaviour for a remote Indigenous population in Australia. METHODS: Complete data on mastery (the degree to which individuals feel in control of their lives), perceived stress, physical activity, and fruit and vegetable consumption were obtained for 177 participants in a community-based chronic disease risk factor survey. Psychosocial questionnaires were completed as an option during community screening (response rate = 61.9%). Extensive consultation facilitated the cross-cultural adaptation of measures. RESULTS: Mastery was inversely correlated with perceived stress measures (p < 0.009): recent stress, r = -0.47; chronic stress, r = -0.41; and youth stress, r = -0.30. Relationships between mastery and behaviour varied according to age group (<25 or > or =25 years) for physical activity (p = 0.001) and vegetable consumption (p = 0.005). Individuals aged > or =25 years engaging in < or =2 bouts of physical activity/week had lower mastery than individuals engaging in > or =3 bouts/week, with means (95% CI) of 14.8 (13.7-15.8) and 17.1 (15.3-19.0), respectively (p = 0.026). Individuals aged > or =25 years eating vegetables < or =3 times/week had lower mastery than those eating vegetables > or =4 times/week (p = 0.009) [means 14.7 (13.8-15.5) and 17.3 (15.5-19.1), respectively]. Individuals <25 years engaging in < or =2 bouts of physical activity/week had greater mastery than individuals engaging in > or =3 bouts/week (p = 0.022) [means 17.2 (15.2-19.2) and 13.8 (11.9-15.7), respectively]. For men > or =25 years and women > or =15 years, mastery was inversely related to age (p < 0.002). Men <25 years had less mastery than women of equivalent age (p = 0.001) [means 13.4 (12.1-14.7) and 17.5 (15.3-19.8), respectively]. CONCLUSION: Consistent with previous research, this study provides additional support for a link between mastery and health-related behaviour, and extends evidence of this association to a remote Indigenous population. Mastery's association with perceived stress, its age-specific association with health behaviour, and findings of low mastery amongst young men, highlights a need for life course research accounting for contextual factors affecting Indigenous peoples.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.454
Teacher spread0.385 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations45
Published2006
Admission routes1
Has abstractyes

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