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Record W3198389565 · doi:10.1177/17455065211042182

Barriers to nutritional pregnancy preparation and support needs in women and men: Qualitative study based on the Theoretical Domains Framework

2021· article· en· W3198389565 on OpenAlexafffund
Fareeha Quayyum, Stephan U Dombrowski

Bibliographic record

VenueWomen s Health · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of New Brunswick
FundersFondation de la recherche en santé du Nouveau-Brunswick
KeywordsQualitative researchPregnancyPsychologyMedicineObstetricsGerontologySociologySocial scienceBiology

Abstract

fetched live from OpenAlex

PURPOSE: Eating behaviours prior to conception may impact the health of the offspring at birth and throughout life. Women and men of childbearing age often follow a nutritionally poor preconception diet. Nutritional support before pregnancy has the potential to improve the health of future offspring. This study examined barriers to nutritional preparation for pregnancy and perceived support needs of women and men of childbearing age. DESIGN: Qualitative interviews based on the Theoretical Domains Framework. SETTING: Online. PARTICIPANTS: Eligible individuals were (1) New Brunswick residents (all genders), (2) over 19 years old, and (3) intended to have offspring in the future. METHODS: Interviews were conducted via online instant messenger and analysed thematically. RESULTS: Interviews of participants (n = 19, age = 19-23 years, 14 women, 5 men) gave rise to five key theoretical domains: lack of knowledge; lack of beliefs about capabilities; suboptimal environmental context and resources; unfavourable social influences; and restrictive social roles. Suggestions to address pregnancy preparation support needs included healthcare professional consultations; accessible and credible references; increasing access to healthy food; proactive engagement; and gender-specific support. CONCLUSION: Women and men called for various types of preconception support to address identified barriers, ranging from healthcare professional advice and credible informational resources to broader interventions such as making healthy food more affordable and normalizing discussion of preconception health throughout the life course.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.371
Teacher spread0.353 · 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 designQualitative
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

Citations8
Published2021
Admission routes2
Has abstractyes

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