P626 - COMPARATIVE STUDY OF 24-HOUR RECALL AND FOOD FREQUENCY QUESTIONNAIRE IN ASSESSING DIETARY INTAKE IN RURAL POPULATIONS - A STUDY IN VILLAGES @ SITAPUR DISTRICT, UTTAR PRADESH, INDIA.

P626

COMPARATIVE STUDY OF 24-HOUR RECALL AND FOOD FREQUENCY QUESTIONNAIRE IN ASSESSING DIETARY INTAKE IN RURAL POPULATIONS - A STUDY IN VILLAGES @ SITAPUR DISTRICT, UTTAR PRADESH, INDIA.

R. Singh^1,*

¹Community Nutrition, NutrutionPunch, Lucknow, India

Rationale: Accurate dietary assessment is essential for designing effective nutrition interventions in rural areas. The 24-Hour Recall (24HR) and Food Frequency Questionnaire (FFQ) are widely used tools, but their applicability and accuracy can vary based on literacy, recall ability, and food diversity. This study aimed to compare these two methods in rural populations of Sitapur District, Uttar Pradesh, to identify the more reliable tool for community-based nutritional assessments.

Methods: A cross-sectional study was conducted among 770 adult participants (aged 18–59 years) across five villages near Sitapur. Dietary data were collected using both a single-day 24HR and a semi-quantitative FFQ, administered on alternate days by trained field workers. Nutrient intake was calculated using standard Indian food composition tables. Correlation, Bland–Altman analysis, and paired t-tests were used to evaluate agreement and differences between the two methods.

Results: Both tools identified common dietary patterns, but the FFQ consistently overestimated energy and micronutrient intakes compared to 24HR. Moderate correlation coefficients (r = 0.55–0.68) were observed for energy, protein, and iron intake. Bland–Altman plots indicated wide limits of agreement, suggesting poor interchangeability. The 24HR showed better sensitivity in capturing seasonal and day-to-day dietary variations.

Conclusion:  

While the FFQ is useful for identifying general dietary trends, the 24-Hour Recall provides a more accurate estimate of actual intake in rural populations. For community-level nutritional assessments in Sitapur and similar settings, a combination approach or repeated 24HRs may enhance data reliability.

Disclosure of Interest: R. Singh Other: NO Conflict of Interest