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Important psychosocial factors to target in nutrition interventions to improve diet in Inuvialuit communities in the Canadian Arctic

2010· article· en· W1511258455 on OpenAlexaffabout
Erin L. Mead, Joel Gittelsohn, E. De Roose, Sangita Sharma

Bibliographic record

VenueJournal of Human Nutrition and Dietetics · 2010
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of AlbertaGovernment of Northwest Territories
Fundersnot available
KeywordsPsychosocialMedicinePsychological interventionFood frequency questionnaireSocioeconomic statusEnvironmental healthGerontologyPopulationDemography

Abstract

fetched live from OpenAlex

BACKGROUND: With increasing chronic disease amongst Inuvialuit in the Canadian Arctic, research on dietary behaviours and their determinants in this population is needed to develop nutritional behaviour change intervention strategies. The present study aimed to assess the knowledge, self-efficacy and intentions towards healthy eating and healthy eating behaviours of Inuvialuit adults in the Northwest Territories (NWT), Canada. METHODS: The Adult Impact Questionnaire was developed from behavioural theories and workshops held in the communities. It was conducted with adult Inuvialuit (≥19 years) from randomly selected households in three NWT communities to collect data on the psychosocial constructs of healthy food knowledge, self-efficacy and intentions, and the dietary behaviours of healthy and unhealthy food acquisition and preparation. Associations between demographic, socioeconomic, psychosocial constructs and behaviours were analysed using multivariate linear regression. RESULTS: The 228 participants [mean (SD) age 43.4 (13.6) years; response rates 65-85%] acquired non-nutrient-dense foods a mean (SD) of 2.7 (3.0) times more frequently than nutrient-dense, low sugar and low fat foods. Increased intention was associated with a greater frequency of acquiring healthy foods (β=0.17, P=0.012) and a lower frequency of acquiring unhealthy foods (β=-0.18, P=0.008). Overall, participants reported using food preparation methods that reduce fat content slightly more than methods that add fat [mean (SD) score 0.3 (1.9)]. Use of healthier food preparation methods was associated with higher levels of healthy food knowledge (β=0.26, P<0.001), self-efficacy (β=0.29, P<0.001) and intentions (β=0.22, P=0.001). CONCLUSIONS: Healthy food intention was the construct most significantly associated with all three healthier dietary behaviours. Interventions that target intentions to change food choice and preparation may be effective strategies to improve dietary intake in Inuvialuit populations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.908
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

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

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 head0.065
GPT teacher head0.404
Teacher spread0.340 · 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.

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

Citations32
Published2010
Admission routes2
Has abstractyes

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