Frank J. Blaauw

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HowNutsAreTheDutch (Dutch: HoeGekIsNL) is a national crowdsourcing study designed to investigate multiple continuous mental health dimensions in a sample from the general population (n = 12,503). Its main objective is to create an empirically based representation of mental strengths and vulnerabilities, accounting for (i) dimensionality and heterogeneity,(More)
The emergence of wearables and smartwatches is making sensors a ubiquitous technology to measure daily rhythms in physiological measures, such as movement and heart rate. An integration of sensor data from wearables and self-report questionnaire data about cognition, behaviors, and emotions can provide new insights into the interaction of mental and(More)
Each person is different and should be treated as such. Comparing personal data to group averages can give basic ideas about personal conditions, but does not suffice for providing ‘true’ personalized feedback. In health psychology, a paradigm shift is taking place from a general population approach towards a more person-centered one. Instead of comparing a(More)
OBJECTIVE Recent developments in research and mobile health enable a quantitative idiographic approach in health research. The present study investigates the potential of an electronic diary crowdsourcing study in the Netherlands for (1) large-scale automated self-assessment for individual-based health promotion and (2) enabling research at both the(More)
E-mental health applications have gained popularity recently as a result of applying developing technologies to leverage advantages over traditional care. First, e-mental health applications are inherently scalable, whereas traditional care involves one-to-one relations between patient and clinician. Second, electronic data formats can facilitate(More)
The attention for personalized mental health care is thriving. Research data specific to the individual, such as time series sensor data or data from intensive longitudinal studies, is relevant from a research perspective, as analyses on these data can reveal the heterogeneity among the participants and provide more precise and individualized results than(More)
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