식사 전후의 사진 비교를 통한 스마트폰 앱의 영양소섭취량 타당도 평가
Purpose: This study was conducted to evaluate the validity of the Gene-Health application in terms of estimating energy and macronutrients. Methods: The subjects were 98 health adults participating in a weight-control intervention study. They recorded their diets in the Gene-Health application, took...
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Veröffentlicht in: | Journal of nutrition and health 2020, 53(3), , pp.319-328 |
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Zusammenfassung: | Purpose: This study was conducted to evaluate the validity of the Gene-Health application in terms of estimating energy and macronutrients. Methods: The subjects were 98 health adults participating in a weight-control intervention study. They recorded their diets in the Gene-Health application, took photographs before and after every meal on the same day, and uploaded them to the Gene-Health application. The amounts of foods and drinks consumed were estimated based on the photographs by trained experts, and the nutrient intakes were calculated using the CAN-Pro 5.0 program, which was named 'Photo Estimation'. The energy and macronutrients estimated from the Gene-Health application were compared with those from a Photo Estimation. The mean differences in energy and macronutrient intakes between the two methods were compared using paired t-test. Results: The mean energy intakes of Gene-Health and Photo Estimation were 1,937.0 kcal and 1,928.3 kcal, respectively. There were no significant differences in intakes of energy, carbohydrate, fat, and energy from fat (%) between two methods. The protein intake and energy from protein (%) of the Gene-Health were higher than those from the Photo Estimation. The energy from carbohydrate (%) for the Photo Estimation was higher than that of the Gene-Health. The Pearson correlation coefficients, weighted Kappa coefficients, and adjacent agreements for energy and macronutrient intakes between the two methods ranged from 0.382 to 0.607, 0.588 to 0.649, and 79.6% to 86.7%, respectively. Conclusion: The Gene-Health application shows acceptable validity as a dietary intake assessment tool for energy and macronutrients. Further studies with female subjects and various age groups will be needed. 본 연구는 만 19세 이상 60세 미만 성인남녀 98명을 대상으로 스마트폰 앱인 Gene-Health 이용하여 식사 기록을 통해 분석된 영양소섭취량과 동일한 날의 식사 섭취 전과 후의 사진비교를 통해 섭취량을 추정하여 분석된 영양소섭취량을 비교함으로 Gene-Health의 타당도를 조사하기 위해 수행되었다. 주요 결과는 다음과 같다. 첫째, Gene-Health의 영양소섭취량과 사진을 통해 추정한 영양소섭취량을 비교한 결과 에너지, 탄수화물, 지방, 지방으로부터의 에너지 섭취비율은 통계적으로 유의한 차이가 없었으나 단백질 섭취량과 단백질로부터의 에너지 섭취 비율은 Gene-Health가 높았고, 탄수화물로부터의 에너지 섭취비율은 사진추정군이 높았다. 둘째, Gene-Health와 사진을 통한 영양소섭취량의 상관성은 에너지, 탄수화물, 단백질, 지방섭취량과 탄수화물 비율, 단백질 비율, 지질 비율은 모두 상관계수 0.382-0.708로 유의적인 양의 상관관계를 보였다. 셋째, Gene-Health와 사진을 통한 에너지, 탄수화물, 단백질, 지방섭취량과 탄수화물 비율, 단백질 비율, 지질 비율의 가중 카파 계수는 0.588-0.662로 상당히 일치하는 경향을 보였다. 에너지와 다량영양소, 다량영양소 섭취 비율의 same agreement는 41.8%-48.0%이며 adjacent agreement는 75.5%-88.8%였다. 본 연구를 통하여 Gene-Health는 에너지와 다량영양소 섭취량을 추정하기 위한 타당한 도구 |
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ISSN: | 2288-3886 2288-3959 |
DOI: | 10.4163/jnh.2020.53.3.319 |