J Nutr Health.  2018 Feb;51(1):103-119. 10.4163/jnh.2018.51.1.103.

Development and relative validity of semi-quantitative food frequency questionnaire for Korean adults

• Kim S
• Lee JS
• Hong KH
• Yeom HS
• Nam YS
• Kim JY
• Park YK

• KMID: 2410329
• DOI: http://doi.org/10.4163/jnh.2018.51.1.103

Abstract

PURPOSE
This study was implemented to develop and validate the semi-quantitative food frequency questionnaire (SQ-FFQ) to assess energy, carbohydrates, fat, protein, minerals, and vitamins as well as fatty acids and alcohol in Korean adults.
METHODS
The SQ-FFQ consisted of 88 food items, and 12 food groups were selected based on information of frequently consumed foods from the Korean Health and Nutrition Examination survey. Each portion size was categorized as one of three amounts: small (0.5 times), medium (1 time), and large (1.5 times). A total of 111 subjects finished 3-day diet records and the SQ-FFQ. The relative validity of SQ-FFQ was assessed by comparison with the 3-day diet records.
RESULTS
The mean nutrient intakes obtained from the SQ-FFQ were estimated to be greater than those of the two 3-day dietary records. Spearman's correlation coefficient between the two methods was the highest for energy (r = 0.583; p < 0.001) and lowest for saturated fatty acid (r = 0.121). Correlation coefficients were energy (r = 0.583; p < 0.001), carbohydrates (r = 0.500; p < 0.001), protein (r = 0.466; p < 0.001), fat (r = 0.411; p < 0.001), dietary fiber (r = 0.467; p < 0.001), alcohol (r = 0.527; p < 0.001), calcium (r = 0.409; p < 0.001), phosphorus (r = 0.499; p < 0.001), potassium (r = 0.418; p < 0.001), magnesium (r = 0.427; p < 0.001), and zinc (r = 0.464; p < 0.001), respectively, for all subjects.
CONCLUSION
The developed SQ-FFQ in this study seems to be useful for estimating nutritional status, particularly energy, carbohydrates, protein, fat, dietary fiber, alcohol, calcium, phosphorus, potassium, magnesium, and zinc of Korean adults.

Keyword

relative validity; 3-day diet records; Semi-quantitative Food Frequency Questionnaire (SQ-FFQ)

MeSH Terms

Adult*
Calcium
Carbohydrates
Diet Records
Dietary Fats
Dietary Fiber
Fatty Acids
Humans
Magnesium
Minerals
Miners
Nutritional Status
Phosphorus
Portion Size
Potassium
Vitamins
Zinc
Calcium
Carbohydrates
Dietary Fats
Fatty Acids
Magnesium
Minerals
Phosphorus
Potassium
Vitamins
Zinc

Figure

• 

  Fig. 1 Diagram to develop semi-quantitative food frequency questionnaire.

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