Nutrition Perspectives and Attitudes Among Ghanaian Pregnant Adolescents and Adolescent Mothers
Bibliographic record
Abstract
OBJECTIVE: To explore the attitudes and perspectives of pregnant adolescents and adolescent mothers on nutrition during pregnancy and infancy. DESIGN: A qualitative community-based cross-sectional study using focus group discussions. SETTING: Nine communities across 3 municipalities and 2 districts in the Central Region of Ghana. PARTICIPANTS: Thirty-five participants, comprising 13 pregnant adolescents and 22 adolescent mothers aged 12-19 years, were selected through door-to-door and snowball sampling methods from households and health centers. PHENOMENON OF INTEREST: Themes on attitudes and perspectives on nutrition during pregnancy and infancy. ANALYSIS: Data was analyzed using Braun and Clarke's reflexive thematic analysis framework in MAXQDA Analytics Pro 2020. RESULTS: Five central themes emerged: health and well-being, infant nutrition, dietary habits, nutrition information sources, and social support. Participants reported that exclusive breastfeeding for 6 months was impractical, leading to the use of complementary foods. Economic constraints often led them to rely on less nutritious street foods. CONCLUSIONS AND IMPLICATIONS: Adolescent mothers tend to diverge from recommended practices for infant and young child feeding. Future studies may explore coping strategies pregnant adolescents and adolescent mothers use to ensure food security for their children and themselves in this study region.
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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".