The aim of this cross-sectional study is to evaluate the effect of nutrition education on nutritional knowledge levels of pregnant women. The study was undertaken on a sample of pregnant women (i = 743) attending health centers in Istanbul for prenatal care. Nutrition knowledge scores were significantly higher in posttest (23.0) than pretest (16.0) after receiving nutrition education (p < .001). Significant differences in pretest (p < .05) but not posttest (p > .05) scores were found for factors, such as education level, work status, and the number of pregnancies; significant differences in both test scores were found for age and nutrition information (p < .05). In conclusion, pregnant women need to be given adequate and appropriate nutrition education for maternal and child health according to sociodemographic characteristics.

Download full-text PDF

Source
http://dx.doi.org/10.1080/03670244.2018.1544561DOI Listing

Publication Analysis

Top Keywords

pregnant women
12
nutrition education
12
nutrition knowledge
8
evaluation nutrition
4
knowledge pregnant
4
nutrition
4
women nutrition
4
education sociodemographic
4
sociodemographic characteristics
4
characteristics aim
4

Similar Publications

The implication of pericardial effusion in the third trimester for preeclampsia and heart failure in high-risk pregnant women.

J Echocardiogr

January 2025

Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.

Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.

Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.

View Article and Find Full Text PDF

Background: There is evidence that exercise may reduce the risk of gestational diabetes mellitus (GDM) and improve other obstetric outcomes in overweight or obese pregnant women. However, the available evidence is of low quality and inconclusive. The purpose of this study is to assess the effects of exercise, compared with usual care, in reducing GDM and other obstetric risks, in overweight and obese pregnant women.

View Article and Find Full Text PDF

Introduction: Optimising the micronutrient status of women before and during reproduction confers benefits to them and their offspring. Antenatal multiple micronutrient supplements (MMS), given as a daily tablet with nutrients at ~1 recommended dietary allowance (RDA) or adequate intake (AI) reduces adverse birth outcomes. However, at this dosage, MMS may not fully address micronutrient deficiencies in settings with chronically inadequate diets and infection.

View Article and Find Full Text PDF

Digital health technologies enabling the transition from pregnancy to early parenthood: A scoping review.

Z Evid Fortbild Qual Gesundhwes

January 2025

Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.

Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.

View Article and Find Full Text PDF

Readability, quality and accuracy of generative artificial intelligence chatbots for commonly asked questions about labor epidurals: a comparison of ChatGPT and Bard.

Int J Obstet Anesth

December 2024

Department of Anesthesiology, 8700 Beverly Blvd #4209, Cedars-Sinai Medical Center, Los Angeles, CA 90064, United States. Electronic address:

Introduction: Over 90% of pregnant women and 76% expectant fathers search for pregnancy health information. We examined readability, accuracy and quality of answers to common obstetric anesthesia questions from the popular generative artificial intelligence (AI) chatbots ChatGPT and Bard.

Methods: Twenty questions for generative AI chatbots were derived from frequently asked questions based on professional society, hospital and consumer websites.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!