The Relationship Between Diet Quality, Nutrition Self-Efficacy and Sources of Nutrition Information in Australian Pregnant Women: A Cross-Sectional Analysis
Year: 2025
Type: article
Study design: Observational Study
Abstract: Purpose To assess diet quality and nutrition self-efficacy in pregnant women, the relationship between diet quality and nutrition self-efficacy, and differences in diet quality and self-efficacy when information obtained from health and non-health professionals. Design Observational cross-sectional study. Setting Online survey. Sample Australian pregnant women. Measures Australian Eating Survey measured diet quality, Ralf Schwarzer and Britta Renner nutrition self-efficacy scale measured nutrition self-efficacy. Analysis Spearman’s correlation measured the association between diet quality and nutrition self-efficacy. Linear regression examined the influence of nutrition self-efficacy on diet quality. T-tests examined differences in diet quality and nutrition self-efficacy scores in groups who did/did not obtain nutrition information from health professionals. Results Participants (n = 171) (mean (SD) age 32.5 (3.9) years, 81.9% born in Australia) reported a mean diet quality score of 33.9 (8.7) out of 73 and mean nutrition self-efficacy score of 14.7 (3.7) out of 20. A moderate positive linear relationship was observed between diet quality and nutrition self-efficacy ( r s = 0.27, P < .001). Nutrition information was obtained by 88%, most commonly via the internet. Diet quality scores were not significantly different when nutrition information was obtained from health professionals ( t (24) = −0.823, P = .32), however, nutrition self-efficacy scores were significantly higher ( U = 856, z = 2.18, P = .03). Conclusion Pregnant women report poor diet quality. Improving nutrition self-efficacy may be effective for improving diet quality. Evidence-based nutrition information should be accessible via the internet and promoted by health authorities.
Authors: Akela Phillips, Tamara Bucher, Penta Pristijono, Sasha Fenton
Language: English
Subfield: Nutrition and Dietetics
Field: Nursing
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
OpenAlex ID: W4409657770
