Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours
ABSTRACT Ecological Momentary Assessment (EMA) involves repeated, real-time
sampling of health behaviours in context. We present the state-of-knowledge in EMA …
sampling of health behaviours in context. We present the state-of-knowledge in EMA …
A systematic review and meta-analysis of studies of reactivity to digital in-the-moment measurement of health behaviour
Self-report measures of health behaviour have several limitations including measurement
reactivity, ie, changes in people's behaviour, cognitions or emotions due to taking part in …
reactivity, ie, changes in people's behaviour, cognitions or emotions due to taking part in …
Optimizing clinical nutrition research: the role of adaptive and pragmatic trials
Evidence-based nutritional recommendations address the health impact of suboptimal
nutritional status. Efficacy randomized controlled trials (RCTs) have traditionally been the …
nutritional status. Efficacy randomized controlled trials (RCTs) have traditionally been the …
Impact of obesity and diet on brain structure and function: A gut–brain–body crosstalk
Most societies witness an ever increasing prevalence of both obesity and dementia, a
scenario related to often underestimated individual and public health burden. Overnutrition …
scenario related to often underestimated individual and public health burden. Overnutrition …
A study on food value estimation from images: Taxonomies, datasets, and techniques
Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …
addition, regular dietary assessment can improve and maintain the physical and mental …
An end-to-end food portion estimation framework based on shape reconstruction from monocular image
Dietary assessment is a key contributor to monitoring health status. Existing self-report
methods are tedious and time-consuming with substantial biases and errors. Image-based …
methods are tedious and time-consuming with substantial biases and errors. Image-based …
Evaluating machine learning technologies for food computing from a data set perspective
Food plays an important role in our lives that goes beyond mere sustenance. Food affects
behavior, mood, and social life. It has recently become an important focus of multimedia and …
behavior, mood, and social life. It has recently become an important focus of multimedia and …
Unpacking norms, narratives, and nourishment: A feminist hci critique on food tracking technologies
Food tracking applications (apps) can provide benefits (eg, hel** diagnose food
intolerances) but can also create harm (eg, facilitating disordered eating). However, food …
intolerances) but can also create harm (eg, facilitating disordered eating). However, food …
[HTML][HTML] The PICOTS-ComTeC framework for defining digital health interventions: an ISPOR special interest group report
Objectives Digital health definitions are abundant, but often lack clarity and precision. We
aimed to develop a minimum information framework to define patient-facing digital health …
aimed to develop a minimum information framework to define patient-facing digital health …
Investigation of Ukrainian refugees' eating behavior, food intake, and psychological distress: Study protocol and baseline data
Since the start of the war in Ukraine, almost 8 million people left the country; more than 1
million of them relocated to Germany. It is to be expected that the war puts considerable …
million of them relocated to Germany. It is to be expected that the war puts considerable …