How Culture Influences Choice Of Intervention Sequencing In Pregnant Arab Muslim Individuals
Bibliographic record
Abstract
Previous work with the Nutrition and Exercise Lifestyle Intervention Program (NELIP) for pregnant Caucasian women showed that if the exercise component (walking, start at 25 min increasing 2 min/week until 40 min, 3 times/week) of the program was introduced first (12-18 weeks’ gestation) and nutrition (modified diabetic meal plan) introduced at 25 weeks’ gestation, achieved greater adherence than introducing the nutrition and exercise components together or offering the nutrition component first followed by exercise. Pregnant Arab Muslim (AM) individuals are at high risk for developing diabetes therefore co-designing a culturally sensitive intervention to promote high adherence is crucial. PURPOSE: To ask AM individuals who are currently or recently pregnant about their preference regarding mode of delivery of NELIP while considering their culture, where; A) nutrition and exercise are offered simultaneously; B) Nutrition is offered first followed by exercise; or C) Exercise is offered first followed by nutrition. METHODS: AM individuals were recruited via community events and purposive sampling and asked (in Arabic or English) in an interview which intervention strategy they preferred and why. After translation and transcription of the interview, content and thematic analysis was executed using NVivo software. RESULTS: Mean age was 30.9 ± 6.5 years (11 pregnant; 21 recently pregnant) with a household size of about 5 people. Mean time since immigration was 7.4 ± 7.5 years. Of the 32 interviews conducted, 18 participants (56%) preferred simultaneous and 13 (41%) preferred nutrition first before exercise, while only 1 preferred exercise first. Analysis found that: 1. Nutrition is a priority for this population over physical activity; 2. Nutrition and exercise should be given simultaneously; 3. Exercise is not encouraged in this population during pregnancy; and 4. The health of the baby is most important which is secured by adequate nutrition. CONCLUSIONS: Exercise is not considered as important as nutrition and thus for an intervention to be successful in this population, nutrition should also be included with exercise to accommodate cultural factors. Funding Source: Children’s Health Research Institute, Canadian Institutes of Health Research, Social Sciences and Humanities Research Council Supported by: Children’s Health Research Institute, Canadian Institutes of Health Research, Social Sciences and Humanities Research Council
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 | 0.019 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".