Laura M. König

ORCID: 0000-0003-3655-8842
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About
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Research Areas
  • Behavioral Health and Interventions
  • Mobile Health and mHealth Applications
  • Obesity, Physical Activity, Diet
  • Nutritional Studies and Diet
  • Consumer Attitudes and Food Labeling
  • Eating Disorders and Behaviors
  • Physical Activity and Health
  • Climate Change Communication and Perception
  • Misinformation and Its Impacts
  • Digital Mental Health Interventions
  • Environmental Education and Sustainability
  • Scientific Computing and Data Management
  • Sensory Analysis and Statistical Methods
  • COVID-19 and Mental Health
  • Innovative Human-Technology Interaction
  • Media Influence and Health
  • Mental Health Research Topics
  • Child Development and Digital Technology
  • Meta-analysis and systematic reviews
  • Impact of Technology on Adolescents
  • Diet and metabolism studies
  • Health and Medical Studies
  • Obesity and Health Practices
  • Organic Food and Agriculture
  • Agriculture Sustainability and Environmental Impact

University of Bayreuth
2021-2025

University of Vienna
2023-2025

University of Konstanz
2014-2024

University of Cambridge
2019-2023

The Open University
2023

Hôpital Beau-Séjour
2023

Charité - Universitätsmedizin Berlin
2017-2022

Chemnitz University of Technology
2021

University of Münster
2019

Background Nutrition apps are effective in changing eating behavior and diet-related health risk factors. However, while they may curb growing overweight obesity rates, widespread adoption is yet to be achieved. Hence, profound knowledge regarding factors motivating hindering (long-term) nutrition app use crucial for developing design guidelines aimed at supporting uptake prolonged of apps. Objective In this systematic review, we synthesized the literature on barriers facilitators across...

10.2196/20037 article EN cc-by JMIR mhealth and uhealth 2021-06-19

Although mobile technologies such as smartphone apps are promising means for motivating people to adopt a healthier lifestyle (mHealth apps), previous studies have shown low adoption and continued use rates. Developing the address this issue requires further understanding of mHealth app nonusers processes. This study utilized stage model approach based on Precaution Adoption Process Model (PAPM), which proposes that pass through qualitatively different motivational stages when adopting...

10.2196/mhealth.8261 article EN cc-by JMIR mhealth and uhealth 2018-03-13

Research suggests that "healthy" food choices such as eating fruits and vegetables have not only physical but also mental health benefits might be a long-term investment in future well-being. This view contrasts with the belief high-caloric foods taste better, make us happy, alleviate negative mood. To provide more comprehensive assessment of choice well-being, we investigated in-the-moment happiness by assessing complete, real life dietary behaviour across eight days using smartphone-based...

10.1038/s41598-017-17262-9 article EN cc-by Scientific Reports 2017-11-30

Reducing harmful consumption of food (including non-alcoholic drinks) and alcoholic drinks would prevent much disease. Evidence from tobacco control shows that placing health warning labels (HWLs) on these products reduces their selection consumption. A systematic review with meta-analysis was conducted using Cochrane methods to assess the impact hypothetical selection) or image-and-text (sometimes termed ‘pictorial’) text-only HWLs placed products. Studies were required be randomised...

10.31234/osf.io/jt52m preprint EN 2019-06-24

Dietary guidelines typically specify rather complex goals and indicators for healthy food choices, such as nutrient energy content patterns. However, translating these into practice in real life is often a major obstacle many people. The present studies propose an intervention strategy boosting choices by prompting consumers at meaningful moment with simple behavioural trigger, that to eat colourful lunch. Effectivity feasibility of this were tested two laboratory experiments one real-life,...

10.1186/s12889-019-7306-z article EN cc-by BMC Public Health 2019-07-22

Why do we eat? Our motives for eating are diverse, ranging from hunger and liking to social norms affect regulation. Although can vary event event, which implies substantial moment-to-moment differences, current ways of measuring rely on single timepoint questionnaires that assess as situation-stable dispositions (traits). However, mobile technologies including smartphones allow events be captured in real time life, thus capturing experienced in-the-moment (states).This study aimed examine...

10.2196/13191 article EN cc-by JMIR mhealth and uhealth 2019-09-26

Background Establishing a methodology for assessing nutritional behavior comprehensively and accurately poses great challenge. Mobile technologies such as mobile image-based food recording apps enable eating events to be assessed in the moment real time, thereby reducing memory biases inherent retrospective records. However, users might find it challenging take images of they consume at every event over an extended period, which lead incomplete records (missing events). Objective Analyzing...

10.2196/15430 article EN cc-by JMIR mhealth and uhealth 2020-08-04

Digital interventions are increasingly utilized as a lever to promote population health, yet not everyone may equally benefit from them. This umbrella review pooled the insights available systematic and scoping reviews regarding potential social inequalities in digital intervention uptake, engagement effectiveness, focusing on promotion of weight-related behaviors (diet, physical activity, sedentary behavior) weight loss (maintenance) adults. Six databases were searched 1970 October 2023....

10.1038/s41746-024-01405-0 article EN cc-by-nc-nd npj Digital Medicine 2025-01-06

Well-designed effective interventions promoting sustainable diets are urgently needed to benefit both human and planetary health. This study evaluated the feasibility, acceptability, potential impact of a pilot blended digital intervention aimed at diets. We conducted series ABA n-of-1 trials with baseline, intervention, follow-up phases over course year, involving twelve participants. The included text messages, individualized online feedback sessions. Quantitative data on diet composition...

10.1038/s41598-025-85307-5 article EN cc-by-nc-nd Scientific Reports 2025-01-15

Food-based dietary guidelines aim at promoting healthy choices. Poor adherence has been partially explained by a lack of nutrition knowledge. Yet, little attention paid to the specific understanding referenced food groups, which is however essential translate into practice. In this study, we therefore investigated people’s groups via their choices as rection prompts (typical, healthy, low-calorie, low-sugar meals). Ninety-six participants (66.7% female, mean age 22.8 years) self-served four...

10.31234/osf.io/m6uq4 preprint EN 2025-01-23

Abstract Objectives Online videos are becoming increasingly popular for obtaining nutrition‐related information. Learning theories suggest that may differ in their effectiveness of conveying knowledge depending on the correspondence between audio and visual content. We thus tested whether two video formats, i.e. talking‐head animated s, differed regarding transfer ability to stimulate content sharing. Design 2 format x 3 topic between‐subjects experiment. Methods A total 358 participants who...

10.1111/bjhp.12786 article EN cc-by British Journal of Health Psychology 2025-02-01

Ecological Momentary Assessment (EMA) has become popular to assess dietary intake in real life and time. Available tools differ substantially the type number of implemented features including what how much was consumed. The require qualitatively different input that might exert differential impact on participants’ cognitions behaviours while taking part study. This preregistered online experimental study aimed test whether more complex assessment tools, indicated by features, induce active...

10.31234/osf.io/j3xbg_v1 preprint EN 2025-03-28
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