Helena J. M. Pennings

Dr. Helena J. M. Pennings

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 December 2022 in Sensors
Verified
Journal Article
Open access
PDF file
Herman Jaap de VriesHerman Jaap de Vries
Herman Jaap de Vries
HPHelena J. M. Pennings
Helena J. M. Pennings
CSCees P. van der Schans
Cees P. van der Schans
RSRobbert Sanderman
Robbert Sanderman
HOHilbrand Klaas Evert Oldenhuis
Hilbrand Klaas Evert Oldenhuis
WKWim Kamphuis
Wim Kamphuis
The effects of stress may be alleviated when its impact or a decreased stress-resilience are detected early. This study explores whether wearable-measured sleep and resting HRV in police officers can be predicted by stress-related Ecological Momentary Assessment (EMA) measures in preceding days and predict stress-related EMA outcomes in subsequent days. Eight police officers used an Oura ring to collect daily Total Sleep Time (TST) and resting Heart Rate Variability (HRV) and an EMA app for measuring demands, stress, mental exhaustion, and vigor during 15–55 weeks. Vector Autoregression (VAR) models were created and complemented by Granger causation tests and Impulse Response Function visualizations. Demands negatively predicted TST and HRV in one participant. TST negatively predicted demands, stress, and mental exhaustion in two, three, and five participants, respectively, and positively predicted vigor in five participants. HRV negatively predicted demands in two participants, and stress and mental exhaustion in one participant. Changes in HRV lasted longer than those in TST. Bidirectional associations of TST and resting HRV with stress-related outcomes were observed at a weak-to-moderate strength, but not consistently across participants. TST and resting HRV are more consistent predictors of stress-resilience in upcoming days than indicators of stress-related measures in prior days.

13 November 2024 in Journal of Vocational Education & Training
Verified
Journal Article
Open access
GKGabi Kaffka
Gabi Kaffka
MSMarieke van der Schaaf
Marieke van der Schaaf
YBY. Baggen
Y. Baggen
HPHelena J. M. Pennings
Helena J. M. Pennings
JTJ. van Tartwijk
J. van Tartwijk

26 February 2025 in Teaching in Higher Education
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Journal Article
Open access
GOGemma O’sUllivan
Gemma O’sUllivan
YBYvette Baggen
Yvette Baggen
CTCassandra Tho
Cassandra Tho
DGDespoina Georgiou
Despoina Georgiou
HPHelena J. M. Pennings
Helena J. M. Pennings
ABAntoine Van den Beemt
Antoine Van den Beemt

3 September 2022 in Military Psychology
Verified
Journal Article
Open access
THTineke Hof
Tineke Hof
PZPauline M. Zuidema
Pauline M. Zuidema
HPHelena J. M. Pennings
Helena J. M. Pennings
Quitting Basic Military Training (BMT) is a problem in the Dutch Armed Forces. Previous research focused on physical factors. Yet, contemporary research focuses on psychosocial characteristics, study skills, and quality of life factors associated with recruits’ intention to quit BMT. We combined several factors to identify the key factors affecting recruits’ intentions to quit BMT. We also studied gender and rank position differences. Three hundred fifty-five recruits enrolled in BMT participated by completing a self-report questionnaire. Multiple regression analysis showed that being highly engaged with BMT, having a high sense of belonging, and being highly proactive resulted in lower intention to quit. Having a high sense of responsibility resulted in higher intention to quit BMT. For gender, significant differences were found in study skills and self-esteem. For rank positions, significant differences were found in several psychosocial characteristics, study skills, quality of life factors, and intention to quit; with officer rank recruits showing higher intentions to quit than noncommissioned officer rank recruits. These identified factors can be used to improve conditions for BMT recruits. It is further advised to investigate the origin of gender and rank position differences that affect associations between psychosocial characteristics, study skills, quality of life factors, and recruits’ intention to quit, so that these differences can be minimized in the future.

7 February 2026 in International Journal of Educational Research
Verified
Journal Article
Open access
LBLisette J.M.E. van Bruggen
Lisette J.M.E. van Bruggen
DGDespoina Georgiou
Despoina Georgiou
NBNico Den Breejen
Nico Den Breejen
MSMarieke F. van der Schaaf
Marieke F. van der Schaaf
HPHelena J. M. Pennings
Helena J. M. Pennings

26 February 2025 in International Medical Education
Verified
Journal Article
Open access
PDF file
RPRahul Pandit
Rahul Pandit
RERens L. Essers
Rens L. Essers
HPHelena J. M. Pennings
Helena J. M. Pennings
Community engaged learning (CEL) is a teaching methodology which aims to bridge the gap between academia and society by collaborating on community-based projects. Inspired by theories of experiential learning and social constructivism, CEL celebrates learning by doing and is a rather novel teaching methodology within the predominantly theoretical bachelor medical curriculum. Despite CEL’s potential benefits, its implementation faces significant challenges. Here, we investigated how students, accustomed to traditional academic teaching, learn during CEL-infused courses, specifically studying student perception of their learning and identifying the various facilitators and barriers to learning during CEL. The study conducted at Utrecht University’s Faculty of Medicine included second-year medical students participating in a newly introduced CEL course. Using thematic analysis, the study analyzed students’ written reflections collected before and after completion of the course. CEL contributed to developing valuable competencies like empathy, leadership, and communication skills, which go beyond the realm of textbook and classroom-based knowledge. The study further identified key barriers and facilitators, both at personal and organizational levels influencing learning outcome of students. Based on these data, several recommendations have been formulated for all involved parties (students, academic institutions, community partners) which could contribute towards a sustainable embedding of CEL.