Desiree A. Lucassen

Desiree A. Lucassen
Wageningen University & Research | WUR · Division of Human Nutrition and Health

RD PhD

About

13
Publications
2,214
Reads
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102
Citations
Additional affiliations
February 2022 - present
Wageningen University & Research
Position
  • Researcher
June 2020 - February 2022
Eindhoven University of Technology
Position
  • PostDoc Position
November 2017 - February 2022
Wageningen University & Research
Position
  • PhD Student
Education
September 2014 - July 2016
Maastricht University
Field of study
  • Health Education and Promotion
September 2007 - July 2011
HAN University of Applied Sciences
Field of study
  • Nutrition and Dietetics

Publications

Publications (13)
Article
Full-text available
Background: Conventional dietary assessment methods are affected by measurement error. We developed a smartphone-based 2-hour recall (2hR) methodology to reduce participant burden and memory-related bias. Objective: Assessing the validity of the 2hR method against traditional 24-hour recalls (24hRs) and objective biomarkers. Methods: Dietary i...
Article
Full-text available
Objective To examine individual outcomes after tailored lifestyle (PROfeel) or generic dietary advice as self‐management intervention for persistent fatigue in adolescents and young adults with a chronic condition, to compare participants who did and did not benefit and to explore changes to factors in the biopsychosocial model of fatigue after PRO...
Article
Full-text available
Objectives To evaluate the use of two self‐management intervention strategies for persistent fatigue in adolescents and young adults with a fatigue syndrome or rheumatic condition. Design A randomized crossover trial administering tailored lifestyle advice and generic dietary advice, each 12 weeks, with a four‐week washout period between. Methods...
Article
Full-text available
The relationship among the various causal factors of obesity is not well understood, and there remains a lack of viable data to advance integrated, systems models of its etiology. The collection of big data has begun to allow the exploration of causal associations between behavior, built environment, and obesity-relevant health outcomes. Here, we c...
Article
Full-text available
A healthy diet during pregnancy has been associated with beneficial child and maternal health outcomes but is challenging to achieve. Recent technological advances offer new opportunities to support pregnant women in their food choices-for instance, via apps. This is already reflected by a wide availability of pregnancy-related apps, but health car...
Article
Full-text available
During recent years, the integration of technology has substantially improved self-reported dietary assessment methods, such as food frequency questionnaires (FFQ), food records, and 24-h recalls. To further reduce measurement error, additional innovations are urgently needed. Memory-related measurement error is one of the aspects that warrants att...
Article
Full-text available
Overweight, obesity and cardiometabolic diseases are major global health concerns. Lifestyle factors, including diet, have been acknowledged to play a key role in the solution of these health risks. However, as shown by numerous studies, and in clinical practice, it is extremely challenging to quantify dietary behaviors as well as influencing them...
Article
Full-text available
Prenatal nutrition is a key predictor of early-life development. However, despite mass campaigns to stimulate healthy nutrition during pregnancy, the diet of Dutch pregnant women is often suboptimal. Innovative technologies offer an opportunity to develop tailored tools, which resulted in the release of various apps on healthy nutrition during preg...
Article
Full-text available
Background Inaccurate self‐report of portion sizes is a major cause of measurement error in dietary assessment. To reduce this error, different portion size estimation aids (PSEAs) have been developed, including food images (image based, IB‐PSE) and textual descriptions of portion sizes (text‐based, TB‐PSE). We assessed the accuracy of portion size...
Article
Full-text available
To collect dietary intake data in a fast and reliable manner, a flexible and innovative smartphone application (app) called Traqq was developed (iOS/Android). This app can be used as a food record and 24-h recall (or shorter recall periods). Different sampling schemes can be created on either prespecified or random days/times within a predetermined...
Chapter
Self-reported methods of recall and real-time recording are the most commonly used approaches to assess dietary intake, both in research as well as the health-care setting. The traditional versions of these methods are limited by various methodological factors and burdensome for interviewees and researchers. Technology-based dietary assessment tool...

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