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Lubasinski N, Thabit H, Nutter PW, Harper S. What Is the Tech Missing? Nutrition Reporting in Type 1 Diabetes. Nutrients 2024; 16:1690. [PMID: 38892623 PMCID: PMC11174934 DOI: 10.3390/nu16111690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
INTRODUCTION Type 1 Diabetes (T1D) presents self-management challenges, requiring an additional 180 daily decisions to regulate blood glucose (BG) levels. Despite the potential, T1D-focused applications have a 43% attrition rate. This work delves into the willingness of people living with T1D (PwT1D) to use technology. METHOD An online questionnaire investigated the current practices for carbohydrate estimation, nutritional tracking, and attitudes towards technology engagement, along with hypothetical scenarios and preferences regarding technology use. RESULTS Thirty-nine responses were collected from PwT1D (n = 33) and caregivers (n = 6). Nutrition reporting preferences varied, with 50% favoring 'type and scroll' while 30% preferred meal photographing. Concerning the timing of reporting, 33% reported before meals, 55% after, and 12% at a later time. Improved Time in Range (TIR) was a strong motivator for app use, with 78% expressing readiness to adjust insulin doses based on app suggestions for optimizing TIR. Meal descriptions varied; a single word was used in 42% of cases, 23% used a simple description (i.e., "Sunday dinner"), 30% included portion sizes, and 8% provided full recipes. CONCLUSION PwT1D shows interest in using technology to reduce the diabetes burden when it leads to an improved TIR. For such technology to be ecologically valid, it needs to strike a balance between requiring minimal user input and providing significant data, such as meal tags, to ensure accurate blood glucose management without overwhelming users with reporting tasks.
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Affiliation(s)
- Nicole Lubasinski
- Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK; (P.W.N.); (S.H.)
| | - Hood Thabit
- Diabetes, Endocrine & Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS, Manchester M13 9WL, UK;
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Science, The University of Manchester, Manchester M13 9PL, UK
| | - Paul W. Nutter
- Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK; (P.W.N.); (S.H.)
| | - Simon Harper
- Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK; (P.W.N.); (S.H.)
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Matalenas LA, McLaughlin AC. Training flexible spatial-cognitive estimation strategies using augmented reality. ERGONOMICS 2024:1-19. [PMID: 38557313 DOI: 10.1080/00140139.2024.2332768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/14/2024] [Indexed: 04/04/2024]
Abstract
We investigated the potential for augmented reality (AR) as a training aid for spatial estimation skills. Though there are many tools to support spatial judgments, from measuring cups to rulers, not much is known about training spatial skills for retention and transfer. Display of AR was manipulated to train the spatial skill of portion estimation. In Experiment 1, an AR-aided strategy of creating smaller portions out of a larger example amount was compared to a no-AR control condition. This manipulation was based on previous non-AR experiments where amorphous foods were better estimated when divided into smaller portions. There was a significant benefit of estimating using a solid AR shape. In Experiment 2, cognitive anchoring was manipulated. Using meaningful AR anchors resulted in the best performance and most learning. We conclude that spatial estimation skills can be combined with mental strategies and trained via AR.
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Sinclair J, Dillon S, Lowe NM, Melia A. Effects of a Nutrition Education Programme in Stage IV Cardiac Rehabilitation Patients: A 3-Arm Randomised Controlled Trial. Life (Basel) 2023; 14:63. [PMID: 38255678 PMCID: PMC10817625 DOI: 10.3390/life14010063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/23/2023] [Accepted: 12/26/2023] [Indexed: 01/24/2024] Open
Abstract
This trial examined the influence of two nutrition intervention programmes on health-related and nutritional intake indices pertinent to cardiovascular disease compared to usual care in stage IV cardiac rehabilitation patients. Sixty-six patients were recruited from the Heartbeat North-West cardiac rehabilitation centre in Preston (United Kingdom). Patients were randomly assigned to Usual care, Biggest loser or Nutrition education arms. Usual care undertook their usual two exercise classes per week without nutritional support, Biggest loser underwent weekly education sessions focussing on weight loss using the themes within the British Heart Foundation 'So You Want to Lose Weight for Good' guidelines, and Nutrition education followed the same themes as Biggest loser but in a more focussed manner informed by patient focus groups. In total, this was a 12-week trial in which patients spent 6 weeks engaged in their allocated intervention arm, after which all participants switched to Usual care. The primary outcome was systolic blood pressure, and secondary measures of anthropometric, blood biomarker, nutritional knowledge (via the Mediterranean Diet Assessment Tool) and nutritional intake indices were measured at baseline, 6 weeks, and 12 weeks (follow-up). Intention-to-treat analyses revealed no significant alterations in the primary outcome (Usual care: baseline = 130.45 mmHg, 6 weeks = 127.83 mmHg, and follow-up = 126.35 mmHg, Biggest loser: baseline = 133.50 mmHg, 6 weeks = 123.06 mmHg, and follow-up = 135.22 mmHg, or Nutrition education: baseline = 135.23 mmHg, 6 weeks = 129.20 mmHg, and follow-up = 126.26 mmHg) between arms. However, at 6 weeks, improvements in triglycerides were significantly greater in Usual care (baseline = 1.61 mmol/L and 6 weeks = 1.43 mmol/L) group compared to Nutrition education (baseline = 1.70 mmol/L and 6 weeks = 2.21 mmol/L). Improvements in nutrition knowledge were significantly greater in Nutrition education (baseline = 8.48, 6 weeks = 9.77, and follow-up = 10.07) compared to Usual care (baseline = 7.71, 6 weeks = 8.00, and follow-up = 8.00) and Biggest loser (baseline = 7.71, 6 weeks = 8.73, and follow-up = 8.36). At 6 weeks, the Biggest loser group (baseline = 4.75 g and 6 weeks = 3.83 g) exhibited significantly greater improvements in salt intake compared to Usual care (baseline = 4.87 g and 6 weeks = 4.28 g) and Nutrition education (baseline = 19.25 g and 6 weeks = 16.78 g) in saturated fatty acids compared to Usual care (baseline = 20.26 g and 6 weeks = 21.34 g). This trial shows the effectiveness of nutritional interventions for improving nutritional knowledge and dietary practices in stage IV cardiac rehabilitation, but the mechanisms and longer-term effects of increased triglyceride levels in the Nutrition education group requires further exploration.
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Affiliation(s)
- Jonathan Sinclair
- Centre for Global Development, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
- Research Centre for Applied Sport, Physical Activity and Performance, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
| | - Stephanie Dillon
- Research Centre for Applied Sport, Physical Activity and Performance, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
| | - Nicola M. Lowe
- Research Centre for Applied Sport, Physical Activity and Performance, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
| | - April Melia
- Centre for Global Development, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
- Research Centre for Applied Sport, Physical Activity and Performance, School of Health, Social Work & Sport, University of Central Lancashire, Preston PR1 2HE, Lancashire, UK
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Jonathan A, Reid K, Radcliffe T. Managing food waste in the inpatient population. BMJ Open Qual 2023; 12:e002436. [PMID: 38123474 DOI: 10.1136/bmjoq-2023-002436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023] Open
Abstract
INTRODUCTION For medical students, food is rarely discussed from the clinical perspective. Yet, in hospitals reduced food intake poses the risk of malnutrition, along with increased morbidity and mortality. The issue of food waste, a cause of inadequate dietary intake and a common issue within the National Health Service, is rarely addressed. The implementation of protected mealtimes has done little to solve this. This quality improvement project aimed to reduce the average amount of inpatient food waste by 20% by May 2022. METHODS A standardised meal size intervention was tested. Meals were weighed before and after meal services to collect baseline and postintervention data. The percentage consumed and the percentage wasted were then calculated. Finally, the overall average of the percentage wasted across both meal services was determined. RESULTS Quantitative data showed a change in the average amount of food waste from 70.16% to 65.75%, a decrease of 4.41%. Survey results also found an increase of 3% in patient satisfaction with meal sizes. CONCLUSION Standardising meal sizes is shown to improve inpatient food waste and may serve as a starting point for healthcare providers to devise further strategies to reduce wastage in hospitals.
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Affiliation(s)
- Adrienne Jonathan
- University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, UK
| | - Kim Reid
- East Lancashire Hospitals NHS Trust, Blackburn, UK
| | - Tim Radcliffe
- Estates & Facilities Division, East Lancashire Hospitals NHS Trust, Blackburn, UK
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Contillo AT, Chun OK, Rodriguez NR. Considerations for a protein-focused screening instrument in clinical nutrition assessment. Clin Nutr ESPEN 2023; 58:111-116. [PMID: 38056993 DOI: 10.1016/j.clnesp.2023.09.915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 09/11/2023] [Accepted: 09/16/2023] [Indexed: 12/08/2023]
Abstract
Physiological stress during injury and surgery negatively impacts protein balance and muscle mass maintenance. Adequate perioperative protein intake may attenuate muscle atrophy to maintain and facilitate functional recovery, particularly in older adults; yet, screening tools routinely used in clinical settings do not specifically assess protein intake when assessing nutrition risk. Although assessing malnutrition is a priority, suboptimal protein intake in non-malnourished patients should also be identified given protein's critical role in muscle health. This opinion paper highlights the potential for using a clinically appropriate protein-focused screener for rapid and efficient characterization of protein intake.
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Affiliation(s)
- Allison T Contillo
- University of Connecticut, Department of Nutritional Sciences, Storrs, CT, 06269, USA.
| | - Ock K Chun
- University of Connecticut, Department of Nutritional Sciences, Storrs, CT, 06269, USA.
| | - Nancy R Rodriguez
- University of Connecticut, Department of Nutritional Sciences, Storrs, CT, 06269, USA.
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Casey JL, Meijer JL, IglayReger HB, Ball SC, Han-Markey TL, Braun TM, Burant CF, Peterson KE. Comparing Self-Reported Dietary Intake to Provided Diet during a Randomized Controlled Feeding Intervention: A Pilot Study. DIETETICS (BASEL, SWITZERLAND) 2023; 2:334-343. [PMID: 38107624 PMCID: PMC10722558 DOI: 10.3390/dietetics2040024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Systematic and random errors based on self-reported diet may bias estimates of dietary intake. The objective of this pilot study was to describe errors in self-reported dietary intake by comparing 24 h dietary recalls to provided menu items in a controlled feeding study. This feeding study was a parallel randomized block design consisting of a standard diet (STD; 15% protein, 50% carbohydrate, 35% fat) followed by either a high-fat (HF; 15% protein, 25% carbohydrate, 60% fat) or a high-carbohydrate (HC; 15% protein, 75% carbohydrate, 10% fat) diet. During the intervention, participants reported dietary intake in 24 h recalls. Participants included 12 males (seven HC, five HF) and 12 females (six HC, six HF). The Nutrition Data System for Research was utilized to quantify energy, macronutrients, and serving size of food groups. Statistical analyses assessed differences in 24 h dietary recalls vs. provided menu items, considering intervention type (STD vs. HF vs. HC) (Student's t-test). Caloric intake was consistent between self-reported intake and provided meals. Participants in the HF diet underreported energy-adjusted dietary fat and participants in the HC diet underreported energy-adjusted dietary carbohydrates. Energy-adjusted protein intake was overreported in each dietary intervention, specifically overreporting beef and poultry. Classifying misreported dietary components can lead to strategies to mitigate self-report errors for accurate dietary assessment.
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Affiliation(s)
- James L. Casey
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer L. Meijer
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA
- Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
| | - Heidi B. IglayReger
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sarah C. Ball
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
| | - Theresa L. Han-Markey
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas M. Braun
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Charles F. Burant
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Karen E. Peterson
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA
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Wilson HK, Castillo-Hernandez IM, Evans EM, Williams ER, Berg AC. Diet Quality Outcomes of a Cooperative Extension Diabetes Prevention Program. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2023; 55:734-742. [PMID: 37480887 DOI: 10.1016/j.jneb.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 07/24/2023]
Abstract
OBJECTIVE The effectiveness of the National Diabetes Prevention Program (DPP) in improving diet quality (DQ) in community settings is largely unknown. This study aimed to evaluate the DQ changes of Extension DPP participants. METHODS A single-group, repeated-measures design was used to evaluate an Extension-implemented DPP using the PreventT2 curriculum. Participants were overweight adults with or at high risk for prediabetes (n = 88). Weight and DQ (Healthy Eating Index-2015, Dietary Screener Questionnaire) were evaluated using mixed-effects regression. RESULTS There was no change in the Healthy Eating Index-2015 total score. Predicted fiber, fruit, and vegetable intake increased (P < 0.05) but remained below recommendations. CONCLUSIONS AND IMPLICATIONS Clinically meaningful DQ changes of Extension DPP participants were limited. The effect of the DPP on DQ in Extension and other implementation settings should be evaluated through randomized controlled trials. Diabetes Prevention Program curriculum revisions that include more specific dietary goals and educational tools may promote greater DQ changes in DPP participants.
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Affiliation(s)
- Hannah K Wilson
- Department of Nutrition, Dietetics and Exercise Science, Concordia College, Moorhead, MN.
| | | | - Ellen M Evans
- Department of Kinesiology, Indiana University Bloomington, Bloomington, IN
| | - Ewan R Williams
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC
| | - Alison C Berg
- Department of Nutritional Sciences, University of Georgia, Athens, GA
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Response to Ahmed G et al. concerning 'Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults'. J Nutr Sci 2023; 12:e23. [PMID: 36843974 PMCID: PMC9947745 DOI: 10.1017/jns.2023.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
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Serving size estimates using digital food photographs among Japanese adults: a critical analysis. J Nutr Sci 2023; 12:e21. [PMID: 36843968 PMCID: PMC9947618 DOI: 10.1017/jns.2023.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 12/29/2022] [Indexed: 02/17/2023] Open
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Langley‐Evans SC. The Covid‐19 pandemic and publishing in nutrition and dietetics. J Hum Nutr Diet 2022; 35:1012-1015. [DOI: 10.1111/jhn.13060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Determinants of consumer acceptance and use of personalized dietary advice: A systematic review. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults. J Nutr Sci 2022; 11:e105. [PMID: 36452397 PMCID: PMC9705702 DOI: 10.1017/jns.2022.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 11/25/2022] Open
Abstract
We evaluated the accuracy of the estimated serving size using digital photographs in a newly developed food atlas. From 209 food items in the food atlas, we selected 14 items with various appearances for evaluation. At the study site, fifty-four participants aged 18-33 years were served fourteen foods in the amount they usually ate. After they left, each food item was weighed by a researcher. The following day, the participants estimated the quantity of each food they served based on food photographs using a web-based questionnaire. We compared the weights of the foods the participants served (true serving sizes) and those determined based on the photographs (estimated serving sizes). For ten of the fourteen food items, significant differences were observed between the estimated and true serving sizes, ranging from a 29⋅8 % underestimation (curry sauce) to a 34⋅0 % overestimation (margarine). On average, the relative difference was 8⋅8 %. Overall, 51⋅6 % of the participants were within ±25 % of the true serving size, 81⋅9 % were within ±50 % and 93⋅4 % were within ±75 %. Bland-Altman plots showed wide limits of agreement and increased variances with larger serving sizes for most food items. Overall, no association was found between estimation errors and participant characteristics. The food atlas has shown potential for assessment of portion size estimation. Further development, refinement and testing are needed to improve the usefulness of the digital food photographic atlas as a portion size estimation aid.
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Rijnaarts I, de Roos N, Zoetendal EG, de Wit N, Witteman BJM. Development and validation of the FiberScreen: A short questionnaire to screen fibre intake in adults. J Hum Nutr Diet 2021; 34:969-980. [PMID: 34378249 PMCID: PMC9290675 DOI: 10.1111/jhn.12941] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/28/2021] [Indexed: 01/10/2023]
Abstract
Background Health effects of dietary fibres are the topic of many studies. Eligibility criteria often include a certain fibre intake, which requires dietary screening during recruitment. However, dietary assessment methods are extensive and burdensome for both the researcher and participant. Therefore, we developed and validated a short questionnaire (FiberScreen) to screen fibre intake. Methods The initial five‐item questionnaire assessed fruit, vegetable, whole grain, pasta/rice/potato and legume intake. The optimised FiberScreen included 18 items, which further specified intake of the above‐mentioned categories, and included nuts and seeds. The FiberScreen was completed during two fibre promoting interventions. In Study A, participants without constipation completed the five‐item FiberScreen and a food frequency questionnaire (FFQ) during screening (n = 131), and the 18‐item FiberScreen and a FFQ at 3‐month follow‐up (n = 87). In Study B, 29 constipated participants completed the 18‐item FiberScreen at screening and a FFQ during the first study visit. Results The fibre estimate from the five‐item FiberScreen and the FFQ was moderately correlated (r = 0.356, p < 0.001). Importantly, the 18‐item FiberScreen and FFQ, when data of both studies were combined, had a strong correlation (r = 0.563, p < 0.001). The 18‐item FiberScreen had a lower fibre estimate compared to the FFQ (Δ = 1.2 ± 5.9 g, p = 0.030) but the difference was relatively small. Bland–Altman plots showed a good agreement between the questionnaires. Completion time of the 18‐item FiberScreen was 4.2 ± 2 min. Conclusions The 18‐item FiberScreen is a suitable short screening questionnaire for ranking the fibre intake of adults. The 18‐item FiberScreen can help to reduce screening burden for both the participant and researcher. Dietary screening during recruitment is more elaborate than is often needed, and burdensome for both the researcher and participant. An 18‐item FiberScreen questionnaire to screen fibre intake was developed and validated in Dutch adults with and without gastrointestinal complaints. The 18‐item FiberScreen had a good agreement with a food frequency questionnaire.
Completion time of the 18‐item FiberScreen was around 4 min, compared to 45–60 min for the food frequency questionnaire.
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Affiliation(s)
- Iris Rijnaarts
- Division of Human Nutrition & Health, Wageningen University & Research, Wageningen, The Netherlands.,Laboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands.,Wageningen Food and Biobased Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Nicole de Roos
- Division of Human Nutrition & Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Erwin G Zoetendal
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands
| | - Nicole de Wit
- Wageningen Food and Biobased Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Ben J M Witteman
- Division of Human Nutrition & Health, Wageningen University & Research, Wageningen, The Netherlands.,Department of Gastroenterology and Hepatology, Hospital Gelderse Vallei, Ede, The Netherlands
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