Philip S. Santangelo

Prof. Dr. Philip S. Santangelo

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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17 November 2020 in International Journal of Bipolar Disorders
Verified
Journal Article
Open access
PDF file
UEUlrich W. Ebner-Priemer
Ulrich W. Ebner-Priemer
EMEsther Mühlbauer
Esther Mühlbauer
ANAndreas B. Neubauer
Andreas B. Neubauer
HHHolger Hill
Holger Hill
FBFabrice Beier
Fabrice Beier
ESEmanuel Severus
Emanuel Severus
Background: Digital phenotyping promises to unobtrusively obtaining a continuous and objective input of symptomatology from patients’ daily lives. The prime example are bipolar disorders, as smartphone parameters directly reflect bipolar symptomatology. Empirical studies, however, have yielded inconsistent findings. We believe that three main shortcomings have to be addressed to fully leverage the potential of digital phenotyping: short assessment periods, rare outcome assessments, and an extreme fragmentation of parameters without an integrative analytical strategy. Methods: To demonstrate how to overcome these shortcomings, we conducted frequent (biweekly) dimensional and categorical expert ratings and daily self-ratings over an extensive assessment period (12 months) in 29 patients with bipolar disorder. Digital phenotypes were monitored continuously. As an integrative analytical strategy, we used structural equation modelling to build latent psychopathological outcomes (mania, depression) and latent digital phenotype predictors (sleep, activity, communicativeness). Outcomes: Combining gold-standard categorical expert ratings with dimensional self and expert ratings resulted in two latent outcomes (mania and depression) with statistically meaningful factor loadings that dynamically varied over 299 days. Latent digital phenotypes of sleep and activity were associated with same-day latent manic psychopathology, suggesting that psychopathological alterations in bipolar disorders relate to domains (latent variables of sleep and activity) and not only to specific behaviors (such as the number of declined incoming calls). The identification of latent psychopathological outcomes that dimensionally vary on a daily basis will enable to empirically determine which combination of digital phenotypes at which days prior to an upcoming episode are viable as digital prodromal predictors.

19 January 2018 in Nutrients
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Journal Article
Open access
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TKTobias Kockler
Tobias Kockler
PSPhilip S. Santangelo
Philip S. Santangelo
UEUlrich W. Ebner-Priemer
Ulrich W. Ebner-Priemer
With great interest, we read the recently published review on emotion regulation in binge eating disorder (BED) by Dingemans et al. [1].

15 July 2020 in Journal of American College Health
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Journal Article
Closed access
SKSusanne Koudela-Hamila
Susanne Koudela-Hamila
JSJoshua M. Smyth
Joshua M. Smyth
PSPhilip S. Santangelo
Philip S. Santangelo
UEUlrich Ebner-Priemer
Ulrich Ebner-Priemer
Academic examinations are a frequent and significant source of student stress, but multimodal, psychophysiological studies are still missing. Participants & methods: Psychological and physiological...

27 June 2025 in Journal of Medical Internet Research
Verified
Journal Article
Open access
MFMessaline Fomo
Messaline Fomo
LBLiyousew Gebremedhin Borga
Liyousew Gebremedhin Borga
TAThomas Abel
Thomas Abel
PSPhilip S. Santangelo
Philip S. Santangelo
SRSara Riggare
Sara Riggare
IPIvana Paccoud
Ivana Paccoud
Background: Patient empowerment is widely recognized for improving health outcomes, increasing patient satisfaction, and enhancing the overall effectiveness of health care. Digital health technologies (DHTs) contribute to this empowerment by keeping patients informed, involved, and engaged in their own health. However, more evidence is needed to better understand which aspects of empowerment patients value when using DHTs and how DHTs can support these values. Objective: Drawing on Sen’s capability approach, this paper conceptualizes patient empowerment in digital health by defining distinct capabilities, resources, and conversion factors that contribute to patient empowerment through DHTs. Methods: We based our scoping review on the methodology recommended by the Joanna Briggs Institute Manual for evidence synthesis and an a priori registered protocol. Papers were included if they focused on patient empowerment in relation to DHTs among patients with chronic diseases (cardiovascular diseases, diabetes, cancer, chronic respiratory diseases, and neurodegenerative diseases), with particular emphasis on the patient perspective. PubMed, Scopus, and Web of Science were searched for evidence published from January 2013 to April 2024. Data were extracted and thematically analyzed via a multidisciplinary workshop to identify empowerment components relevant to the capability framework, such as capabilities, DHTs as resources, and conversion factors. Results: Our analysis identified 3 core capabilities to achieve patient empowerment supported by DHTs: health information and knowledge management, self-management, and emotional and social support. DHTs as resources supported these capabilities through distinct functional components, including informing patients, communication with the health care team, monitoring, behavior change interventions, individualized feedback, or peer support, each contributing to a varying degree. Conversion factors such as demographic and socioeconomic status, digital literacy, disease status, perceived value of DHTs, sociocultural values and norms, doctor-patient relationship, connectivity, and cost influenced the development of empowering capabilities resulting from using DHTs. Conclusions: While the capabilities related to patient empowerment in DHTs were clearly distinguishable, our analysis revealed a notable interconnectedness among these components. Our conceptualization of patient empowerment serves as a valuable resource for researchers seeking to understand or assess patient empowerment via DHTs. It also provides guidance for DHT developers, helping them design DHTs that enhance valued capabilities and account for the conversion factors and ultimately promote patient empowerment across diverse population groups.

24 November 2020 in Borderline Personality Disorder and Emotion Dysregulation
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Journal Article
Open access
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PSPhilip S. Santangelo
Philip S. Santangelo
TKTobias D. Kockler
Tobias D. Kockler
MZMarie-Luise Zeitler
Marie-Luise Zeitler
RKRebekka Knies
Rebekka Knies
NKNikolaus Kleindienst
Nikolaus Kleindienst
UEUlrich W. Ebner-Priemer
Ulrich W. Ebner-Priemer
Background: Borderline personality disorder (BPD) is defined by a pervasive pattern of instability. According to prior findings and clinical theories, self-esteem instability and affective instability are key features of BPD. Previous e-diary studies showed that instability in self-esteem is heightened and that it is highly intertwined with affective instability in BPD in comparison to healthy controls (HC). The present study sought to extend these findings by adding symptomatologically remitted BPD patients (BPD-REM), i.e. former patients with BPD who met four or fewer BPD criteria within the past year, as a comparison group. Methods: To examine differences regarding self-esteem instability and affective instability, we used e-diaries for repeatedly collecting data on self-esteem, valence, and tense arousal 12 times a day for four consecutive days while participants underwent their daily life activities. Determining three different state-of-the-art instability indices and applying multilevel analyses, we compared 35 BPD-REM participants with previously reported 60 acute BPD patients (BPD-ACU) and 60 HC. Results: Our results revealed that self-esteem instability was significantly lower in the BPD-REM compared to the BPD-ACU group, irrespective of the instability index. In contrast, there were no significant differences regarding affective instability between the BPD-REM participants and those in the BPD-ACU group. The comparison between the BPD-REM with the HC indicated both a significantly higher instability in self-esteem as well as significantly heightened affective instability in the BPD-REM participants. Moreover, even though the associations were not significant, we found tentative support for the assumption that affective changes that are accompanied by changes in self-esteem are experienced as more burdensome and negatively impact the quality of life of remitted BPD participants. Conclusions: This study builds on growing evidence for the importance of self-esteem instability in BPD. Whereas affective instability has been reported in various psychiatric disorders and might indeed constitute a transdiagnostic marker of affective dysregulation, our results indicate that self-esteem instability might be a specific symptom that construes the unique pathology in BPD.

8 October 2021 in Borderline Personality Disorder and Emotion Dysregulation
Verified
Journal Article
Open access
PDF file
AWAnna Walenda
Anna Walenda
BKBarbara Kostecka
Barbara Kostecka
PSPhilip S. Santangelo
Philip S. Santangelo
KKKatarzyna Kucharska
Katarzyna Kucharska
Background: Inefficient mechanisms of emotional regulation appear essential in understanding the development and maintenance of binge-eating disorder (BED). Previous research focused mainly on a very limited emotion regulation strategies in BED, such as rumination, suppression, and positive reappraisal. Therefore, the aim of the study was to assess a wider range of emotional regulation strategies (i.e. acceptance, refocusing on planning, positive refocusing, positive reappraisal, putting into perspective, self-blame, other-blame, rumination, and catastrophizing), as well as associations between those strategies and binge-eating-related beliefs (negative, positive, and permissive), and clinical variables (eating disorders symptoms, both anxiety, depressive symptoms, and alexithymia). Methods: Women diagnosed with BED (n = 35) according to the DSM-5 criteria and healthy women (n = 41) aged 22–60 years were assessed using: the Eating Attitudes Test-26, the Eating Beliefs Questionnaire-18, the Hospital Anxiety and Depression Scale, the Toronto Alexithymia Scale-20, the Cognitive Emotion Regulation Questionnaire, and the Difficulties in Emotion Regulation Scale. Statistical analyses included: Student t - tests or Mann–Whitney U tests for testing group differences between BED and HC group, and Pearson’s r coefficient or Spearman’s rho for exploring associations between the emotion regulation difficulties and strategies, and clinical variables and binge-eating-related beliefs in both groups. Results: The BED group presented with a significantly higher level of emotion regulation difficulties such as: nonacceptance of emotional responses, lack of emotional clarity, difficulties engaging in goal-directed behavior, impulse control difficulties, and limited access to emotion regulation strategies compared to the healthy controls. Moreover, patients with BED were significantly more likely to use maladaptive strategies (rumination and self-blame) and less likely to use adaptive strategies (positive refocusing and putting into perspective). In the clinical group, various difficulties in emotion regulation difficulties occurred to be positively correlated with the level of alexithymia, and anxiety and depressive symptoms. Regarding emotion regulation strategies, self-blame and catastrophizing were positively related to anxiety symptoms, but solely catastrophizing was related to the severity of eating disorder psychopathology. Conclusions: Our results indicate an essential and still insufficiently understood role of emotional dysregulation in BED. An especially important construct in this context seems to be alexithymia, which was strongly related to the majority of emotion regulation difficulties. Therefore, it might be beneficial to pay special attention to this construct when planning therapeutic interventions, as well as to the maladaptive emotion regulation strategies self-blame and catastrophizing, which were significantly related to BED psychopathology.