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- Title
Validity and reproducibility of a semi‐quantitative food frequency questionnaire for Iranian adults.
- Authors
Mohammadifard, Noushin; Haghighatdust, Fahimeh; Kelishadi, Roya; Bahonar, Ahmad; Dianatkhah, Minoo; Heidari, Hossien; Maghroun, Maryam; Dehghan, Mahshid
- Abstract
Aim: To validate a semi‐quantitative food frequency questionnaire (SFFQ) and assess the dietary intake of Iranian adults. Methods: This study was conducted among 113 healthy adults in Iran. We administered twelve 24‐hour dietary recalls (24DRs) during a year as a reference method. The 165‐item SFFQ was administered twice, along with the first and last 24DRs. To examine validity and reproducibility of SFFQ, the correlation coefficients (r) and de‐attenuated correlation coefficients and intra‐class correlation coefficient (ICC) between 24DRs and SFFQ were calculated. The Bland‐Altman method was used to assess agreement between the two methods. Results: De‐attenuated correlations varied from 0.42 (polyunsaturated fatty acids) to 0.62 (energy) (all P <.001) for nutrients and from 0.48 (oils and fats) to 0.65 (sweets) for food groups (all P <.05). We found reasonable reproducibility of SFFQ for both nutrients and food groups. ICC (95%CI) varied from 0.47 (0.15‐0.74) for saturated fatty acids to 0.64 (0.47‐0.76) for energy and from 0.43 (0.15‐0.62) for oils and fats to 0.58 for grains (0.31‐0.69). According to the Bland‐Altman plots, we observed an acceptable level of agreement between the two methods. Conclusions: We found reasonable relative validity and acceptable reproducibility of SFFQ. This SFFQ can be used to classify individuals based on their dietary intake in our population.
- Subjects
IRAN; STATISTICS; UNSATURATED fatty acids; PILOT projects; RESEARCH evaluation; CONFIDENCE intervals; RESEARCH methodology evaluation; SATURATED fatty acids; INGESTION; FOOD diaries; NUTRITIONAL requirements; REGRESSION analysis; TEST validity; FOOD portions; QUESTIONNAIRES; INTRACLASS correlation; FOOD; STATISTICAL correlation; DATA analysis; DATA analysis software; GRAIN
- Publication
Nutrition & Dietetics, 2021, Vol 78, Issue 3, p305
- ISSN
1446-6368
- Publication type
Article
- DOI
10.1111/1747-0080.12666