Search

Background: Maternal anemia, miscarriage, low birth weight (LBW), preterm birth (PTB), intrauterine growth restriction (IUGR), prenatal and infant mortality, morbidity, and the risk of chronic disease later in life are all increased by a lack of dietary diversity during pregnancy. However, evidence for the effect of nutrition education on the dietary diversity score (DDS) among pregnant women was sparse in Ethiopia, particularly in the study areas. This study aimed to assess the effect of nutrition education on dietary diversity among pregnant women in urban settings in Southeast Ethiopia. Methods: A community-based two-arm parallel cluster randomized controlled trial was conducted among 447 randomly selected pregnant women attending antenatal care (224 intervention group and 223 control group) at health facilities from February to December 2021. A multistage cluster sampling technique, followed by systematic sampling, was used to select the pregnant women. Pregnant women who participated in the interventions were given nutrition education starting at 16 weeks of gestation and continuing for 6 months. We used a pre-tested, interviewer-administered, structured questionnaire to collect the data. A 24-hour qualitative dietary recall was used to calculate the dietary diversity score (DDS). A multivariable generalized estimating equation (GEE) model was conducted to evaluate the intervention effect. Results: After the intervention, the proportion of adequate dietary diversity was 14.15% higher in the intervention arm compared to the control group (45.09% versus 30.94%, P = 0.002). The overall difference in adequate dietary diversity between the two groups was 8.5%. After adjusting for background characteristics, the multivariable GEE binary logistic model revealed that having received intervention [(AOR = 1.89, 95% CI: 1.27, 2.79)], being literate [(AOR = 3.41, 95% CI: 1.13, 10.23)], and having high wealth [(AOR = 1.60, 95% CI: 1.09, 2.35)] significantly improved adequate dietary diversity. Conclusion: The findings indicated that having received the intervention, being literate, and having a high level of wealth significantly improved maternal dietary diversity. Efforts should be made to increase nutrition education using the health belief model (HBM) and the theory of planned behavior (TPB). Moreover, there is a need to improve literacy and economic empowerment through income-generating activities to enhance adequate dietary diversification during pregnancy. Trial registration: Clinicaltrials.gov (PACTR202201731802989, Retrospectively registered on 24 January 2022). [ABSTRACT FROM AUTHOR]

Background: The location and time of snack consumption may influence the composition, nutrient content and portion sizes of snacks. In this study, we aimed to determine and compare the time, location and frequency of snack consumption among different age groups of Canadians.Methods: Nationally representative dietary data from the 2015 Canadian Community Health Survey (CCHS) were used (19,677 participants aged ≥2 years). Dietary data were obtained using 24-h dietary recalls. Participants were categorized according to the frequency of snack consumption (1 time, 2-3 times, ≥4 times). The snack consumption over 24 h was divided into four time periods: before 10 am, 10 am to 3 pm, 3 pm to 8 pm and 8 pm to 12 am. Meal and snack location was categorized as at home; someone else's home; restaurants; and other.Results: Snacking 2-3 times per day was the most common reported frequency (53.0%). Snacking at home (73.0%) was more prevalent than snacking away from home (27.0%). The most frequently reported time for snacking among Canadians was 3 pm to 8 pm (36.3%), and the least frequently reported time was before 10 am (8.1%). Snacking contributed to a high proportion of Milk and Alternatives (23.7%) and Vegetables and Fruit (23.4%) food groups and lesser proportions of Grain Products (15.4%) and Meat & Alternatives (9.4%) food groups among Canadians.Conclusions: Home is the main location, 3 pm to 8 pm is the main time, and 2-3 times per day is the most common reported frequency for snacking. A full understanding of snacking behaviors is needed in order to develop targeted strategies to improve the quality of snack food choices. [ABSTRACT FROM AUTHOR]