The determinants, and Nutritional implications of Food Aversion among Pregnant Women in Boricha Woreda, Sidama Regional State, Southern Ethiopia.Dataset on prevalence, reasons, and risk factors of food aversion and its link to maternal undernutrition.The data was collected to Bridge a Research Gap Regarding how Behavioral Dietary Changes (Specifically Food aversions) impact Maternal Nutritional outcomes in high-malnutrition Hotspots. The scope covers both Quantitative Prevalence Metrics and Qualitative Community Perspectives Regarding why these aversions manifest.Maternal Demographics & Socio-Economics: Age distribution (Predominantly 19–49 years), Urban vs. Rural Residence, Religious Affiliation (Majority Protestant), Maternal/Paternal Educational Attainment, and a multi-Tiered Household wealth index (Computed Via Principal Component Analysis). Obstetric & Maternal Health: Current Gestational Trimester (2nd and 3rd trimesters), Parity (Primiparous vs. Multiparous), and Utilization of Antenatal Care (ANC) services.Clinical/Symptomatic Indicators: Self-Reported incidents and Severity of Morning Sickness, Specifically Tracking Standalone Nausea, Vomiting, or Concurrent Nausea and Vomiting.Nutritional Status Metrics: Mid-Upper Arm Circumference (MUAC) measurements Calibrated to the nearest 0.1 cm, used to categorically classify mothers as undernourished (<23.0 cm) or well-nourished (≥23.0 cm) based on Sphere Project standards.Dietary Patterns & Aversions: Data tracks daily meal frequencies, meal-skipping patterns (e.g., lunch vs. dinner skips), consumption of required additional gestational meals, detailed tracking of specific averted food categories (such as staple cereals, enset products, and animal proteins), and maternal justifications for the aversion.Quantitative Data: Generated via pre-tested, validated, and structured face-to-face questionnaires administered directly by five diploma-holding nurses and overseen by two Public Health Officers. Data was cleaned and processed using Epi Info (v7.1.4.0) before being exported to IBM SPSS (v20) for descriptive analysis and logistic regression modeling.Qualitative Data: Consists of five audio-recorded Focus Group Discussions (FGDs) facilitated by open-ended prompts, manually transcribed into the local Sidamic language, and translated into English for thematic content analysis.

• Pregnancy
• Food aversions
• Nutritional status
• Southern Ethiopia

1. Abel Yalew, 2. Wondwosen Tekle Silasie, 3. Anchamo Anato and 4. Anteneh Fikrie

The determinants, and Nutritional implications of Food Aversion among Pregnant Women in Boricha Woreda, Sidama Regional State, Southern Ethiopia.Dataset on prevalence, reasons, and risk factors of food aversion and its link to maternal undernutrition.The data was collected to Bridge a Research Gap Regarding how Behavioral Dietary Changes (Specifically Food aversions) impact Maternal Nutritional outcomes in high-malnutrition Hotspots. The scope covers both Quantitative Prevalence Metrics and Qualitative Community Perspectives Regarding why these aversions manifest.Maternal Demographics & Socio-Economics: Age distribution (Predominantly 19–49 years), Urban vs. Rural Residence, Religious Affiliation (Majority Protestant), Maternal/Paternal Educational Attainment, and a multi-Tiered Household wealth index (Computed Via Principal Component Analysis). Obstetric & Maternal Health: Current Gestational Trimester (2nd and 3rd trimesters), Parity (Primiparous vs. Multiparous), and Utilization of Antenatal Care (ANC) services.Clinical/Symptomatic Indicators: Self-Reported incidents and Severity of Morning Sickness, Specifically Tracking Standalone Nausea, Vomiting, or Concurrent Nausea and Vomiting.Nutritional Status Metrics: Mid-Upper Arm Circumference (MUAC) measurements Calibrated to the nearest 0.1 cm, used to categorically classify mothers as undernourished (<23.0 cm) or well-nourished (≥23.0 cm) based on Sphere Project standards.Dietary Patterns & Aversions: Data tracks daily meal frequencies, meal-skipping patterns (e.g., lunch vs. dinner skips), consumption of required additional gestational meals, detailed tracking of specific averted food categories (such as staple cereals, enset products, and animal proteins), and maternal justifications for the aversion.Quantitative Data: Generated via pre-tested, validated, and structured face-to-face questionnaires administered directly by five diploma-holding nurses and overseen by two Public Health Officers. Data was cleaned and processed using Epi Info (v7.1.4.0) before being exported to IBM SPSS (v20) for descriptive analysis and logistic regression modeling.Qualitative Data: Consists of five audio-recorded Focus Group Discussions (FGDs) facilitated by open-ended prompts, manually transcribed into the local Sidamic language, and translated into English for thematic content analysis.

Copy url