scholarly journals Effect of Manual Data Cleaning on Nutrient Intakes using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24)

Author(s):  
Yasmine Y Bouzid ◽  
Joanne E Arsenault ◽  
Ellen L Bonnel ◽  
Eduardo Cervantes ◽  
Annie Kan ◽  
...  

Abstract Background Automated dietary assessment tools such as ASA24® are useful for collecting 24-hour recall data in large-scale studies. Modifications made during manual data cleaning may affect nutrient intakes. Objectives We evaluated the effects of modifications made during manual data cleaning on nutrients intakes of interest: energy, carbohydrate, total fat, protein, and fiber. Methods Differences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired t-tests. Chi-squared test was used to determine whether unsupervised recalls had more open-ended text responses that required modification than supervised recalls. We characterized food types of text response modifications. Correlations between predictive energy requirements, measured total energy expenditure (TEE), and mean energy intake from raw and modified data were examined. Results After excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in this analysis. We found significant differences before and after modifications for energy, carbohydrate, total fat, and protein intakes for all recalls (p < 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p < 0.02). There was not a significantly greater proportion of text responses requiring modification for home compared to supervised recalls (p = 0.271). Predicted energy requirements correlated highly with TEE. There was no significant difference in correlation of mean energy intake with TEE for modified compared to raw data. Mean intake for individual subjects was significantly different for energy, protein, and fat intakes following cleaning modifications (p < 0.001). Conclusions Manual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 124-124
Author(s):  
Nurgul Fitzgerald ◽  
Shailja Mathur

Abstract Objectives To examine the dietary intake patterns of South Asian adults by using three different assessment methods. Methods The participants were a convenience sample of 62 adults from South Asian descent, who lived in the United States and participated in a community-based diabetes self-management program. Dietary intake data were collected through Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24), self-administered Diet History Questionnaire III (self-DHQ), and researcher-administered DHQ III (res-DHQ) (National Cancer Institute). Thirty-seven participants completed ASA24 and self-DHQ back-to-back during in-person sessions, and 25 participants completed res-DHQ through video conferencing sessions with the researcher. Group level data were examined using IBM SPSS Statistics software. Results On average, participants’ daily energy intake levels were estimated to be 805.8 ± 551.3, 1686.4 ± 985.9 and 1469.7 ± 887.5 kcal/d by self-DHQ, ASA24, and res-DHQ, respectively. Self-DHQ produced the lowest of the estimates (mean ± SD) for daily protein (28.9 ± 18.8 vs 63.1 ± 35.2, and 53.1 ± 27.9 g/d), carbohydrate (106.4 ± 68.0 vs 224.9 ± 128.4 and 199.9 ± 119.7 g/d), and total fat (31.7 ± 29.2 vs. 63.5 ± 46.5 and 56.2 ± 40.9 g/d) intakes in comparison to ASA24 and res-DHQ, respectively. Conclusions In this study, self-administered DHQ produced substantially lower estimates of daily macronutrient and energy intake levels. The ASA24 or researcher-administered DHQ were relatively more reliable methods of dietary assessment in this sample of South Asian adults. Funding Sources NJ Department of Health, Office of Minority and Multicultural Health.


2004 ◽  
Vol 91 (3) ◽  
pp. 469-478 ◽  
Author(s):  
Jeongseon Kim ◽  
Mabel M. Chan

This is the first study to investigate how food and nutrient intakes vary with the levels of acculturation of Korean Americans using a dietary assessment tool tested for validity and reliability. The respondents were Korean Americans (n 486) resident in the Greater New York metropolitan area, USA. They were divided into two groups according to the total score of acculturation: low- and high-acculturated groups. Using a food-frequency questionnaire and a modified Suinn-Lew Asian self-identity acculturation scale, differences in the frequencies of food items, food groups and nutrient intakes consumed were analysed by level of acculturation. The low-acculturated group tended to consume significantly more rice, mixed rice, soyabean paste chigae (pot stew), saengsun (fish) chigae, kimchi chigae, other fish broiled or baked, eggs, kimchi, spinach, persimmons, and white or brown sugar in coffee or tea. The high-acculturated group demonstrated a statistically greater tendency to consume bread, cereal, spaghetti, ham, green salad, sweetcorn, chocolate, candies and diet soft drinks. The more acculturated an individual, the more significant was the tendency to consume sweets. The more acculturated group had significantly (P<0·05) higher intakes of % energy from total fat, thiamin, vitamin E and folate, while the low-acculturated group consumed greater amounts of Na, niacin and dietary fibre. The information from the present study can be used to describe dietary habits according to various aspects of acculturation, and allows a better understanding of the dynamics of acculturation and dietary habits.


2021 ◽  
pp. 1-26
Author(s):  
Traci A. Bekelman ◽  
Corby K. Martin ◽  
Susan L. Johnson ◽  
Deborah H. Glueck ◽  
Katherine A. Sauder ◽  
...  

Abstract The limitations of self-report measures of dietary intake are well known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in 2, 3-day dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake (TDEI) between assessments, and between each assessment method and the EER. Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (p=0.0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (p = 0.008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, p = 0.09). Median satisfaction and ease of use scores were 5 out of 6 for both methods. A higher proportion of parents reported that the ASA24 was more time consuming than the RFPM (74.4% vs. 25.6%, p = 0.002). Utilization of both methods is warranted given their high satisfaction among parents.


2021 ◽  
Vol 8 ◽  
pp. 205566832110140
Author(s):  
Anuprita Kanitkar ◽  
Sanjay T Parmar ◽  
Tony J Szturm ◽  
Gayle Restall ◽  
Gina Rempel ◽  
...  

Introduction A computer game-based upper extremity (CUE) assessment tool is developed to quantify manual dexterity of children with Cerebral Palsy (CP). The purpose of this study was to determine test-retest reliability of the CUE performance measures (success rate, movement onset time, movement error, and movement variation) and convergent validity with the Peabody Developmental Motor Scale version 2 (PDMS-2) and the Quality of Upper Extremity Skills Test (QUEST). Methods Thirty-five children with CP aged four to ten years were tested on two occasions two weeks apart. Results CUE performance measures of five chosen object manipulation tasks exhibited high to moderate intra-class correlation coefficient (ICC) values. There was no significant difference in the CUE performance measures between test periods. With few exceptions, there was no significant correlation between the CUE performance measures and the PDMS-2 or the QUEST test scores. Conclusions The high to moderate ICC values and lack of systematic errors indicate that the CUE assessment tool has the ability to repeatedly record reliable performance measures of different object manipulation tasks. The lack of a correlation between the CUE and the PDMS-2 or QUEST scores indicates that performance measures of these assessment tools represent distinct attributes of manual dexterity.


2016 ◽  
Vol 5 ◽  
Author(s):  
Sanna Nybacka ◽  
Heléne Bertéus Forslund ◽  
Elisabet Wirfält ◽  
Ingrid Larsson ◽  
Ulrika Ericson ◽  
...  

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd  2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.


Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1545 ◽  
Author(s):  
Lily Ding ◽  
Nazimah Hamid ◽  
Daniel Shepherd ◽  
Kevin Kantono

More people working at offices are choosing to eat meals at their desks, making “desktop dining” an increasingly common phenomenon. Previous studies have reported that environmental distractors, such as television viewing, can influence meal intake and subsequent snack intake. However, the impact of stressful mental tasks on eating behavior has received relatively less attention, focusing only on subsequent meal intake or concurrent snack intake. This study sets out to determine whether eating while working influenced current meal energy intake. This research also examined the relationship between dietary restraint status and energy intake. A crossover experimental design was employed requiring participants (14 males and 29 females) to eat pizza quietly and at rest (control), and while working on a computer (work). Measurements included BMI, energy intake, state anxiety, restrained eating behavior, stress levels (pre- and post-eating), and appetite (before and after both work and control sessions). The findings showed that consuming food while working on a computer significantly increased stress but had no influence on energy intake compared to the control condition. However, post-eating hunger levels were significantly higher in the work condition compared to the control condition. As expected, satiety levels decreased significantly from pre- to post-eating for both work and control conditions. In addition, no significant relationship was observed between restrained eating behavior and energy intake in both work and control conditions. These results suggest that eating while working affected satiety of normal weight participants, as indicated by the significant difference in post-meal satiety levels between work and control conditions.


2021 ◽  
Vol 8 (10) ◽  
Author(s):  
Jeneva J. Diez ◽  
Emiernafe M. Ebro ◽  
Ronna Joy C. Dequito ◽  
Tomas Jr A. Diquito

<p>The new normal education policy in response to the pandemic crisis pushed institutions to shift from traditional face-to-face to asynchronous instruction that posed challenges particularly to science courses in higher education. The purpose of this study was to understand the learning experiences of the students and the implications of asynchronous teaching instruction in the Science, Technology, and Society course. This study utilized a convergent parallel mixed method of research employing descriptive-comparative and descriptive phenomenological research designs. There were 100 respondents for the quantitative part and 12 participants for the qualitative part. Based on the quantitative findings, the overall implementation of asynchronous instruction in the course was "excellent." Specifically, the level of implementation was "very satisfactory" in terms of Content and Course Evaluation, while "excellent" in terms of Instructional Design, Student Assessment, and Technology. There was no significant difference in the level of implementation of the course asynchronous instruction when analyzed by specialization. Moreover, based on the qualitative analysis, the learning experiences of students in asynchronous instruction were both positive and negative that implied two-way learning experiences. The general recommendation gleaned from the students was science, technology, and society asynchronous delivery improvement that covered teacher improvement, SIM improvement, and assessment tool improvement. The general recommendations of this study were improving asynchronous instruction delivery through teachers training proposals, modification of self-instructional materials, increasing the awareness and effective use of the varied assessment tools in sustaining the needs and interest of students in studying the course, creating a safe learning environment for the students, and conducting future researches to reveal significant factors which affect the learning experiences of students and the other points that the current researchers have not yet explored.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0893/a.php" alt="Hit counter" /></p>


2009 ◽  
Vol 12 (2) ◽  
pp. 222-227 ◽  
Author(s):  
Vivienne A Vance ◽  
Sarah J Woodruff ◽  
Linda J McCargar ◽  
Janice Husted ◽  
Rhona M Hanning

AbstractObjectiveThe purpose of the present paper was to assess dietary energy reporting as a function of sex and weight status among Ontario and Alberta adolescents, using the ratio of energy intake (EI) to estimated BMR (BMRest).DesignData were collected using the FBQ, a validated web-based dietary assessment tool (including a 24 h dietary recall, FFQ, and food and physical activity behavioural questions). BMI was calculated from self-reported height and weight and participants were classified as normal weight, overweight or obese. BMR was calculated using the WHO equations (based on weight). Reporting status was identified using the ratio EI:BMRest.SettingData were collected in public, Catholic and private schools in Ontario and Alberta, Canada.SubjectsA total of 1917 (n876 male andn1041 female) students (n934 grade 9 andn984 grade 10) participated.ResultsThe mean EI:BMRestratio across all participants was 1·4 (sd0·6), providing evidence of under-reporting for the total sample. Females under-reported more than males (t= 6·27,P< 0·001), and under-reporting increased with increasing weight status for both males (F= 33·21,P< 0·001) and females (F= 14·28,P< 0·001). After removing those who reported eating less to lose weight, the EI:BMRestwas 1·56 (sd0·6) for males and 1·4 (sd0·6) for females.ConclusionThe present study highlights methodological challenges associated with self-reported dietary data. Systematic differences in under-reporting of dietary intake by gender and weight status were observed using a web-based survey, similar to observations made using paper-based 24 h recalls and dietitian interviews.


CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S111-S111
Author(s):  
V. Boucher ◽  
V. Boucher ◽  
M. Lamontagne ◽  
J. Lee ◽  
M. Émond

Introduction: Geriatric Emergency Department (ED) guidelines recommend systematic screening of older patients for geriatric syndromes. However, compliance issues to this recommendation have already been observed. Self-assessment tools could be an interesting solution as self-assessed general, mental and physical health was shown to be predictive of functional decline and mortality. The Older Americans Resources and Services scale (OARS), is a simple geriatric functional assessment scale that is widely used by professionals to quantify patients’ ability to perform activities of daily living (ADL) and instrumental activities of daily living (IADL). However, its use as a self-assessment tool has never been tested. Objective: to evaluate the feasibility of the self-assessed OARS compared to its standard administration by a research assistant (RA) in older ED patients. Methods: A planned sub-analysis of a single center randomized crossover pilot study in 2018 was realized. Patients aged ≥65 who consulted to the ED for any medical reason were included. Patients were excluded if they: 1) required resuscitation (CTAS 1); 2) were unable to consent/to speak French; 3) had a physical condition preventing the use of an electronic tablet. Patients were randomized 1:1 to either 1) tablet-based functional status self-assessment or 2) the RAs questionnaire administration at first, after which they crossed-over to the other assessment method. Paired t-tests were used to assess the score differences. Results: 60 patients were included. Mean age was 74.4 ± 7.6 and 34 (56.7%) participants were women. Mean OARS score according to RA was 25.1 ± 3.3 and mean self-assessed OARS score was 26.4 ± 2.5 (p < 0.0001). There was also differences when looking at the AVQ and AIVQ separately. Mean AVQ scores were 12.5 ± 1.8 and 13.5 ± 0.9 (p < 0.0001) and mean AIVQ scores were 12.6 ± 1.8 and 12.9 ± 1.8 (p = 0.04) for RA assessment and self-assessment, respectively. Conclusion: Our results show a statistically significant difference between RA assessment and patient self-assessment of functional status, and this difference seems to be more pronounced regarding AVQ than AIVQ. The study confirms that self-assessment of functional status by older ED patients is feasible, but further testing is required in order to confirm the validity and psychometric values of this self-administered version of the OARS.


10.2196/15619 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15619 ◽  
Author(s):  
Wael Khazen ◽  
Jean-François Jeanne ◽  
Laëtitia Demaretz ◽  
Florent Schäfer ◽  
Guy Fagherazzi

Food intake and usual dietary intake are among the key determinants of health to be assessed in medical research and important confounding factors to be accounted for in clinical studies. Although various methods are available for gathering dietary data, those based on innovative technologies are particularly promising. With combined cost-effectiveness and ease of use, it is safe to assume that mobile technologies can now optimize tracking of eating occasions and dietary behaviors. Yet, choosing a dietary assessment tool that meets research objectives and data quality standards remains challenging. In this paper, we describe the purposes of collecting dietary data in medical research and outline the main considerations for using mobile dietary assessment tools based on participant and researcher expectations.


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