Comparison of chatbot and paper-based FFQs in participants who underwent colorectal or gastric cancer screening.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
95 participants (50 men and 45 women, aged 24-79 yrs) who underwent gastroscopy or colonoscopy for cancer screening at Dongguk University Ilsan Hospital between April and August 2022.
I · Intervention 중재 / 시술
gastroscopy or colonoscopy for cancer screening at Dongguk University Ilsan Hospital between April and August 2022
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] These findings indicate good comparability between chatbot- and paper-based FFQs. A chatbot-based mobile FFQ can provide comparable dietary intake rankings, making it a viable tool for evaluating the associations between diet and various disease risks in longitudinal studies.
[BACKGROUND/OBJECTIVES] The food frequency questionnaire (FFQ) is a commonly used tool for assessing the usual diet of groups and individuals.
APA
Lim EY, Lim YJ, et al. (2025). Comparison of chatbot and paper-based FFQs in participants who underwent colorectal or gastric cancer screening.. Nutrition research and practice, 19(6), 932-942. https://doi.org/10.4162/nrp.2025.19.6.932
MLA
Lim EY, et al.. "Comparison of chatbot and paper-based FFQs in participants who underwent colorectal or gastric cancer screening.." Nutrition research and practice, vol. 19, no. 6, 2025, pp. 932-942.
PMID
41377599 ↗
Abstract 한글 요약
[BACKGROUND/OBJECTIVES] The food frequency questionnaire (FFQ) is a commonly used tool for assessing the usual diet of groups and individuals. This study developed a chatbot-based mobile FFQ, embedded within KakaoTalk, Korea's most popular mobile instant messenger. This study compared the energy and nutrient intake reported by participants using a chatbot versus a paper-based FFQ.
[SUBJECTS/METHODS] This study included 95 participants (50 men and 45 women, aged 24-79 yrs) who underwent gastroscopy or colonoscopy for cancer screening at Dongguk University Ilsan Hospital between April and August 2022. The participants completed both the chatbot and paper-based FFQs within a 3-mon period. The comparability of the chatbot-based FFQ with traditional paper-based FFQ was examined by comparing the log-transformed intakes of energy and nutrients using Pearson correlation coefficients. The Cohen's Kappa coefficients, Bland-Altman plots, and cross-classification percent agreement were used to evaluate the compatibility.
[RESULTS] The Pearson correlation coefficients of energy and energy-adjusted nutrients ranged from 0.74 (niacin) to 0.90 (vitamin A), with a median coefficient of 0.85. The Cohen kappa coefficients varied from 0.42 (niacin) to 0.64 (n-6 fatty acid). The Bland-Altman plots suggested that most of the data points fell between the lower and upper limits of agreement, and 88% to 98% of the participants were classified into the same or adjacent quartiles for energy-adjusted nutrients.
[CONCLUSION] These findings indicate good comparability between chatbot- and paper-based FFQs. A chatbot-based mobile FFQ can provide comparable dietary intake rankings, making it a viable tool for evaluating the associations between diet and various disease risks in longitudinal studies.
[SUBJECTS/METHODS] This study included 95 participants (50 men and 45 women, aged 24-79 yrs) who underwent gastroscopy or colonoscopy for cancer screening at Dongguk University Ilsan Hospital between April and August 2022. The participants completed both the chatbot and paper-based FFQs within a 3-mon period. The comparability of the chatbot-based FFQ with traditional paper-based FFQ was examined by comparing the log-transformed intakes of energy and nutrients using Pearson correlation coefficients. The Cohen's Kappa coefficients, Bland-Altman plots, and cross-classification percent agreement were used to evaluate the compatibility.
[RESULTS] The Pearson correlation coefficients of energy and energy-adjusted nutrients ranged from 0.74 (niacin) to 0.90 (vitamin A), with a median coefficient of 0.85. The Cohen kappa coefficients varied from 0.42 (niacin) to 0.64 (n-6 fatty acid). The Bland-Altman plots suggested that most of the data points fell between the lower and upper limits of agreement, and 88% to 98% of the participants were classified into the same or adjacent quartiles for energy-adjusted nutrients.
[CONCLUSION] These findings indicate good comparability between chatbot- and paper-based FFQs. A chatbot-based mobile FFQ can provide comparable dietary intake rankings, making it a viable tool for evaluating the associations between diet and various disease risks in longitudinal studies.
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