معرفی
Marcus Bendtsen is an Assistant Professor at Linköping University, affiliated with the Department of Society and Health within the Faculty of Medicine. He also teaches across both the Faculty of Medicine and the Faculty of Technology, demonstrating his interdisciplinary approach to academic work. His position involves active participation in e-health teaching at master's and medical programs, epidemiology at doctoral level, and serving as semester manager and examiner for IT engineers' project semester.
Bendtsen's research focuses on digital lifestyle interventions, particularly mobile phone-based approaches to help individuals reduce alcohol consumption and quit smoking. His work emphasizes quantitative estimates of intervention effects on populations and individuals, identifying for whom interventions have the greatest impact, and how these interventions affect mediating psychosocial factors. He advocates for Bayesian statistics as an alternative to traditional point-estimating methods, promoting its use through publications, seminars, and application in his own research. His work spans multiple projects including TOPHAT (mobile support for reducing alcohol consumption), NEXit (SMS-based smoking cessation for pre-surgery patients), AMADEUS (SMS support for students with risky alcohol consumption), and NEXit junior (smoking cessation for high school students).
Analysis of Bendtsen's recent publications reveals a strong focus on mental health among college students across multiple countries, digital health interventions for behavior change, and the application of statistical methods to evaluate intervention effectiveness. His work frequently appears in high-impact journals covering psychiatry, public health, and digital health domains, demonstrating consistent contributions to understanding both mental health disorders and effective digital interventions.
Bendtsen actively participates in multiple research initiatives focused on developing and evaluating digital health tools for various populations including college students, high school students, pregnant women, and individuals seeking to change health behaviors. His work bridges statistical methodology with practical applications in public health, particularly in the Swedish context but with growing international collaborations.
