Predictors of Major Dietary Patterns Among Pregnant Women Attending Public Health Facilities in Eastern Ethiopia: A New Epidemiological Approach.

dietary pattern factor analysis food frequency ordinal logistic regression pregnant

Journal

Frontiers in nutrition

ISSN: 2296-861X

Titre abrégé: Front Nutr

Pays: Switzerland

ID NLM: 101642264

Informations de publication

Date de publication:
2022

Historique:

received: 04 02 2022

accepted: 10 03 2022

entrez: 13 5 2022

pubmed: 14 5 2022

medline: 14 5 2022

Statut: epublish

Résumé

Dietary pattern analysis is a robust statistical procedure that efficiently characterize the dietary intakes of individuals. However, there is a lack of robust dietary intake evidence beyond nutrient intake in Ethiopia. This study was to answer, what are the major dietary consumption patterns and its predictors among pregnant women in Ethiopia. A facility-based survey among 380 randomly selected pregnant women using a contextualized food frequency questionnaire (FFQ) over 1 month recall was used. The frequency of food consumption was standardized to daily frequency equivalents, and a sequential exploratory factor analysis was used to derive major dietary patterns. A multivariable ordinary logistic regression model was fitted with all its assumptions. Three major dietary patterns ("fruits and animal-source foods," "cereals, tubers, and sweet foods," "legumes and vegetables"), explaining 65% of the total variation were identified. Women snacks (AOR = 1.93; 1.23-2.75), without food aversion (AOR = 1.59; 1.08-2.35), non-fasting (AOR = 0.75; 1.12-2.12), and receiving nutritional counseling (AOR = 1.96; 1.25-3.07) were significantly positively associated with a higher tercile of fruits and animal-source food consumption. Non-working mothers (AOR = 1.8;1.23-2.76), chronic disease (AOR = 1.88; 1.14-3.09), or received nutritional counseling (AOR = 1.33; 0.88-2.01), were fasting (AOR = 1.33;0.88-2.01), and no food cravings (AOR = 4.27;2.67-6.84), and aversion (AOR = 1.60;1.04-2.44) had significantly higher odds of consuming cereals, tubers, and sweet foods. Literacy (AOR = 1.87; 1.14-3.09), urban residence (AOR = 2.10; 1.10-3.93), low socioeconomic class (AOR = 2.68; 1.30-5.23), and skipping meals (AOR = 1.73; 1.15-2.62) were associated with higher odds of legume and vegetable consumption. Socioeconomic class, literacy, occupation, getting nutritional counseling, habits of food craving, food aversion, and fasting can predict a woman's dietary pattern.

Sections du résumé

Background UNASSIGNED

Methods UNASSIGNED

A facility-based survey among 380 randomly selected pregnant women using a contextualized food frequency questionnaire (FFQ) over 1 month recall was used. The frequency of food consumption was standardized to daily frequency equivalents, and a sequential exploratory factor analysis was used to derive major dietary patterns. A multivariable ordinary logistic regression model was fitted with all its assumptions.

Results UNASSIGNED

Three major dietary patterns ("fruits and animal-source foods," "cereals, tubers, and sweet foods," "legumes and vegetables"), explaining 65% of the total variation were identified. Women snacks (AOR = 1.93; 1.23-2.75), without food aversion (AOR = 1.59; 1.08-2.35), non-fasting (AOR = 0.75; 1.12-2.12), and receiving nutritional counseling (AOR = 1.96; 1.25-3.07) were significantly positively associated with a higher tercile of fruits and animal-source food consumption. Non-working mothers (AOR = 1.8;1.23-2.76), chronic disease (AOR = 1.88; 1.14-3.09), or received nutritional counseling (AOR = 1.33; 0.88-2.01), were fasting (AOR = 1.33;0.88-2.01), and no food cravings (AOR = 4.27;2.67-6.84), and aversion (AOR = 1.60;1.04-2.44) had significantly higher odds of consuming cereals, tubers, and sweet foods. Literacy (AOR = 1.87; 1.14-3.09), urban residence (AOR = 2.10; 1.10-3.93), low socioeconomic class (AOR = 2.68; 1.30-5.23), and skipping meals (AOR = 1.73; 1.15-2.62) were associated with higher odds of legume and vegetable consumption.

Conclusion UNASSIGNED

Socioeconomic class, literacy, occupation, getting nutritional counseling, habits of food craving, food aversion, and fasting can predict a woman's dietary pattern.

Identifiants

DOI: 10.3389/fnut.2022.855149 PMID: 35548559 PMC: PMC9085216

pubmed: 35548559

doi: 10.3389/fnut.2022.855149

pmc: PMC9085216

doi:

Types de publication

Journal Article

Langues

eng

Pagination

855149

Informations de copyright

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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