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Determinants of dietary patterns of Ghanaian mother-child dyads: A Demographic and Health Survey — Europe PMC PMID:37963127

Source
Europe PMC (en)
Original
https://europepmc.org/article/MED/37963127
DOI
10.1371/journal.pone.0294309
License (as archived)
CC0-1.0
Archived
2026-10-07T11:59:06.133Z
SHA-256 of the archived text
80148db7ac3c86d7643bdabe8d8d0fc92969a0b6a0ac053dfabc5754780636a1
Stable URL of this page
https://metraipolis.com/documento/dc_7690e793a2da

How to cite

Determinants of dietary patterns of Ghanaian mother-child dyads: A Demographic and Health Survey — Europe PMC PMID:37963127 — Europe PMC (en), https://europepmc.org/article/MED/37963127 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7690e793a2da (Metraipolis archive dc_7690e793a2da, sha256 80148db7ac3c86d7643bdabe8d8d0fc92969a0b6a0ac053dfabc5754780636a1)
BibTeX
@misc{dc7690e793a2da,
  title = {Determinants of dietary patterns of Ghanaian mother-child dyads: A Demographic and Health Survey — Europe PMC PMID:37963127},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/37963127},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7690e793a2da; sha256 80148db7ac3c86d7643bdabe8d8d0fc92969a0b6a0ac053dfabc5754780636a1},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/37963127. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Having a comprehensive understanding of a population's dietary patterns is a key component of any effective strategy for preventing malnutrition, planning, and putting nutrition interventions and policies into place. It's interesting to note that information on dietary patterns of Ghana's vulnerable subpopulations of women and children is lacking. The purpose of this study is to characterize the dietary patterns of women (15-49 years old) and their young children (0-3 years old), as well as to investigate into the socioeconomic and demographic factors influencing the characterized dietary patterns. The sociodemographic information and food consumption of mother-child dyads (n = 1,548) were collected for this nationally representative cross-sectional study. Principal component analysis and multiple variable logistic regression were used, respectively, to determine the dietary patterns of dyads and the determinants of the identified dietary patterns. For women and children, respectively, four dietary patterns ('Beverage & sugary based', 'Meat based', 'Indigenous- tuber based' and 'Indigenous- grain based') and two ('Indigenous' and 'Milk, Meat, & cereal based') emerged. Ethnicity, wealth quintiles, parity, seasonality, dyad's age, body mass index, education, residency, marital status, and household size were the socioeconomic / demographic determinants of the dietary patterns. To sum up for women and children, meat based and indigenous staple based dietary patterns were identified, with several important socioeconomic and demographic variables acting as predictors of the dietary patterns. The identified dietary patterns and their determinants may serve as a basis for nutrition intervention and policies for women and children in Ghana.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2023 (prima pubblicazione 2023-11-14).
Identificativi: PMID 37963127 · PMCID PMC10645331 · DOI 10.1371/journal.pone.0294309.
Descrittori MeSH principali: Mother-Child Relations; Ethnicity.
Pagina: https://europepmc.org/article/MED/37963127 — https://doi.org/10.1371/journal.pone.0294309. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-07T11:29:04.400Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.