Isabel Slurink

Dr. Isabel Slurink is a Researcher at the Department of Medical and Clinical Psychology, Tilburg School of Social and Behavioral Sciences, Tilburg University. She holds a PhD in Psychology, awarded in November 2024, with a dissertation focused on dairy consumption and prediabetes risk. Her research is interdisciplinary, bridging clinical psychology, nutritional epidemiology, and public health.

• Institution: Tilburg University
• School: Tilburg School of Social and Behavioral Sciences
• Department: Department of Medical and Clinical Psychology
• Role: Researcher
• Email: I.A.L.Slurink@tilburguniversity.edu
• ORCID: https://orcid.org/0000-0002-3310-0329

Her research centers on the psychological and nutritional determinants of chronic diseases. Key interests include prediabetes and type 2 diabetes risk in relation to dairy intake, health outcomes following bariatric surgery, and the multifaceted symptomatology of long COVID. She employs advanced methodologies such as meta-analysis, network analysis, latent class modeling, and longitudinal data analysis. Her work contributes to UN Sustainable Development Goals related to good health and well-being.

The 15 most recent articles (limited here to 2024) show a strong trend toward epidemiological and clinical psychology research with public health implications. She frequently investigates dietary patterns (especially dairy), mental health predictors, and long-term health trajectories. Her publications appear in journals such as Clinical Nutrition, Current Developments in Nutrition, and Journal of Psychosomatic Research, and include original research, reviews, and a doctoral thesis.

While no formal scientific awards are listed in the provided text, her work has received media attention, including coverage by 9 news outlets, expert commentary, and social media engagement, indicating public impact.

Dr. Slurink has not been explicitly mentioned as supervising students, but her role as a recent PhD graduate and active researcher suggests potential advisory or mentoring activities. She collaborates extensively with researchers such as Sabita Soedamah-Muthu, Tom Smeets, and Nicole Kupper. Her research is supported by data from large cohort studies and involves both primary analysis and synthesis of existing evidence.

She is involved in network-based research examining how dietary behaviors, sociodemographic factors, and cardiometabolic risks interrelate in the context of prediabetes. Her work on long COVID uses innovative network and latent class approaches to uncover symptom clusters, contributing to a better understanding of this complex condition.