Britta Renner

Prof. Britta Renner

Department of Psychology, University of Konstanz, PO Box 47, D-78457 Konstanz, Germany
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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1 August 2012 in Appetite
Verified
Journal Article
Closed access
BRBritta Renner
Britta Renner
GSGudrun Sproesser
Gudrun Sproesser
SSStefanie Strohbach
Stefanie Strohbach
HSHarald T. Schupp
Harald T. Schupp

1 May 2012 in Vaccine
Verified
Journal Article
Closed access
CBCornelia Betsch
Cornelia Betsch
NBNoel T. Brewer
Noel T. Brewer
PBPauline Brocard
Pauline Brocard
PDPatrick Davies
Patrick Davies
WGWolfgang Gaissmaier
Wolfgang Gaissmaier
MSMarybelle Stryk
Marybelle Stryk

28 July 2019 in Obesity Reviews
Verified
Journal Article
Open access
KVKaroline Villinger
Karoline Villinger
DWDeborah R. Wahl
Deborah R. Wahl
HBHeiner Boeing
Heiner Boeing
HSHarald T. Schupp
Harald T. Schupp
BRBritta Renner
Britta Renner
Summary: A systematic review and meta‐analysis were conducted to assess the effectiveness of app‐based mobile interventions for improving nutrition behaviours and nutrition‐related health outcomes, including obesity indices (eg, body mass index [BMI]) and clinical parameters (eg, blood lipids). Seven databases were searched for studies published between 2006 and 2017. Forty‐one of 10 132 identified records were included, comprising 6348 participants and 373 outcomes with sample sizes ranging from 10 to 833, including 27 randomized controlled trials (RCTs). A beneficial effect of app‐based mobile interventions was identified for improving nutrition behaviours (g = 0.19; CI, 0.06‐0.32, P = .004) and nutrition‐related health outcomes (g = 0.23; CI, 0.11‐0.36, P < .001), including positive effects on obesity indices (g = 0.30; CI, 0.15‐0.45, P < .001), blood pressure (g = 0.21; CI, 0.01‐0.42, P = .043), and blood lipids (g = 0.15; CI, 0.03‐0.28, P = .018). Most interventions were composed of four behaviour change technique (BCT) clusters, namely, “goals/planning,” “feedback/monitoring,” “shaping knowledge,” and “social support.” Moderating effects including study design, type of app (commercial/research app), sample characteristics (clinical/non‐clinical sample), and intervention characteristics were not statistically significant. The inclusion of additional treatment components besides the app or the number or type of BCTs implemented did not moderate the observed effectiveness, which underscores the potential of app‐based mobile interventions for implementing effective and feasible interventions operating at scale for fighting the obesity epidemic in a broad spectrum of the population.

24 May 2018 in Nutrients
Verified
Journal Article
Open access
PDF file
MSMarijn Stok
Marijn Stok
BRBritta Renner
Britta Renner
PCPeter Clarys
Peter Clarys
NLNanna Lien
Nanna Lien
JLJeroen Lakerveld
Jeroen Lakerveld
TDTom Deliens
Tom Deliens
Introduction: Eating behavior often becomes unhealthier during the transition from adolescence to young adulthood, but not much is known about the factors that drive this change. We assess the available evidence on this topic through a literature review and pay special attention to the research designs employed in the studies available as well as the modifiability of the factors investigated in previous research. Method: We systematically conducted a scoping review by searching literature published in or after 2000 in three databases that described one or more factors associated with eating behavior or changes in eating behavior during the transition from adolescence to adulthood in the general population. Our search identified eighteen articles meeting these inclusion criteria. The socio-ecological DONE (Determinants of Nutrition and Eating) framework, a recently developed dynamic framework of factors shaping dietary behavior, was used to structure and categorize the factors identified. Results: Most factors identified in the literature were individual-level factors (67%) such as food beliefs, time constraints, and taste preferences; on the other hand, interpersonal-level factors (e.g., social support), environmental-level factors (e.g., product characteristics) and policy-level factors (e.g., market regulations) have been reported on less extensively. Furthermore, most factors discussed in the literature have been classified in the DONE framework as not easily modifiable. Moreover, previous studies largely used static research designs and focused primarily on one specific population (US freshmen). Discussion: This systematic scoping review identified several gaps in the available literature that hinder insight into the drivers of eating behavior (change) during the transition from adolescence to young adulthood. There is an urgent need for research on broader populations, employing dynamic repeated-measures designs, and taking modifiability of factors into account.

2 February 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MSMarijn Stok
Marijn Stok
SHStefan Hoffmann
Stefan Hoffmann
DVDorothee Volkert
Dorothee Volkert
HBHeiner Boeing
Heiner Boeing
RERegina Ensenauer
Regina Ensenauer
BRBritta Renner
Britta Renner
The question of which factors drive human eating and nutrition is a key issue in many branches of science. We describe the creation, evaluation, and updating of an interdisciplinary, interactive, and evolving “framework 2.0” of Determinants Of Nutrition and Eating (DONE). The DONE framework was created by an interdisciplinary workgroup in a multiphase, multimethod process. Modifiability, relationship strength, and population-level effect of the determinants were rated to identify areas of priority for research and interventions. External experts positively evaluated the usefulness, comprehensiveness, and quality of the DONE framework. An approach to continue updating the framework with the help of experts was piloted. The DONE framework can be freely accessed (http://uni-konstanz.de/DONE) and used in a highly flexible manner: determinants can be sorted, filtered and visualized for both very specific research questions as well as more general queries. The dynamic nature of the framework allows it to evolve as experts can continually add new determinants and ratings. We anticipate this framework will be useful for research prioritization and intervention development.

1 October 2006 in Journal of Personality Assessment
Verified
Journal Article
Open access
BRBritta Renner
Britta Renner
Curiosity refers to the desire for acquiring new information. The aim of this study was to develop a questionnaire to assess social curiosity, that is, interest in how other people think, feel, and behave. The questionnaire was administered to 312 participants. Factor analyses of the 10-item Social Curiosity Scale (SCS) yielded 2 factors: General Social Curiosity and Covert Social Curiosity. Evidence of convergent validity was provided by moderately high correlations of the SCS with other measures of curiosity and self-perceived curiosity, whereas discriminant validity was demonstrated by low correlations of the SCS with other personality traits, such as neuroticism and agreeableness. Of interest, social interaction anxiety was observed to facilitate covert social curiosity while inhibiting general social curiosity.