Validation of a novel image-weighed technique for monitoring food intake and estimation of portion size in hospital settings: A pilot study
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Validation of a novel image-weighed technique for monitoring food intake and estimation of portion size in hospital settings : A pilot study. / Ofei, Kwabena T.; Mikkelsen, Bent E.; Scheller, Rudolf A.
In: Public Health Nutrition, Vol. 22, No. 7, 2019, p. 1203-1208.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Validation of a novel image-weighed technique for monitoring food intake and estimation of portion size in hospital settings
T2 - A pilot study
AU - Ofei, Kwabena T.
AU - Mikkelsen, Bent E.
AU - Scheller, Rudolf A.
N1 - Publisher Copyright: © 2018 The Authors.
PY - 2019
Y1 - 2019
N2 - Objective: Optimal nutrition for hospital patients is crucial and routine monitoring of patients' nutrient intake is imperative. However, personalised monitoring and customised intervention using traditional methods is challenging and labour-intensive, consequently it is often neglected in hospital settings. The present pilot study aimed to examine the reliability and validity of the Dietary Intake Monitoring System (DIMS) against the weighed food method (WFM). Design: The DIMS 2.0 is composed of an integrated digital camera, weighing scale, radio-frequency identification sensor and WIFI connection for real-time image and weight dietary data acquisition and analysis. The DIMS equipment was used to collect data for a paired set of meals both before and after meal consumption at lunchtime. Setting: Odense University Hospital, Denmark. Subjects: Photos and weights of seventeen patient meals were captured. Results: The results showed a significant correlation between DIMS and WFM for energy (r=0.99, P<0.01) and protein intake (r=0.98, P<0.01). Intraclass correlation coefficients (ICC) revealed a high degree of agreement among the four non-trained assessors for estimates of portion size of each food item before (0.88, P<0.01) and after consumption (0.99, P<0.01). The ICC for energy and protein intake were 0.99 (P<0.01) and 0.99 (P<0.01), respectively. Bland-Altman plots revealed no systematic bias. Conclusions: Considering the huge benefits associated with routine monitoring, technological advances have made it possible to develop a novel, easy-to-use DIMS that, according to the findings, is a valid alternative for use in hospital settings.
AB - Objective: Optimal nutrition for hospital patients is crucial and routine monitoring of patients' nutrient intake is imperative. However, personalised monitoring and customised intervention using traditional methods is challenging and labour-intensive, consequently it is often neglected in hospital settings. The present pilot study aimed to examine the reliability and validity of the Dietary Intake Monitoring System (DIMS) against the weighed food method (WFM). Design: The DIMS 2.0 is composed of an integrated digital camera, weighing scale, radio-frequency identification sensor and WIFI connection for real-time image and weight dietary data acquisition and analysis. The DIMS equipment was used to collect data for a paired set of meals both before and after meal consumption at lunchtime. Setting: Odense University Hospital, Denmark. Subjects: Photos and weights of seventeen patient meals were captured. Results: The results showed a significant correlation between DIMS and WFM for energy (r=0.99, P<0.01) and protein intake (r=0.98, P<0.01). Intraclass correlation coefficients (ICC) revealed a high degree of agreement among the four non-trained assessors for estimates of portion size of each food item before (0.88, P<0.01) and after consumption (0.99, P<0.01). The ICC for energy and protein intake were 0.99 (P<0.01) and 0.99 (P<0.01), respectively. Bland-Altman plots revealed no systematic bias. Conclusions: Considering the huge benefits associated with routine monitoring, technological advances have made it possible to develop a novel, easy-to-use DIMS that, according to the findings, is a valid alternative for use in hospital settings.
KW - Energy and protein intake
KW - Hospital setting
KW - Portion size
KW - Routine monitoring
KW - Technology
U2 - 10.1017/S1368980018001064
DO - 10.1017/S1368980018001064
M3 - Journal article
C2 - 29759093
AN - SCOPUS:85047105136
VL - 22
SP - 1203
EP - 1208
JO - Public Health Nutrition
JF - Public Health Nutrition
SN - 1368-9800
IS - 7
ER -
ID: 345861111