Stress and Eating Behavior: A Daily Diary Study in Youngsters

Debeuf, Taaike; Verbeken, Sandra; Beveren, Marie-Lotte Van; Michels, Nathalie; Braet, Caroline

doi:10.3389/fpsyg.2018.02657

Cited by 47 publications

(43 citation statements)

References 92 publications

(150 reference statements)

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“…Emotional eating is a very common eating disorder among youth. It occurs especially in many different emotional conditions related to stress 11 . This study was conducted to determine the effect of sociodemographic characteristics of university students on emotional eating behavior and was discussed with the relevant literature.…”

Section: Discussionmentioning

confidence: 99%

The effect of sociodemographic characteristics of university students on emotional eating behavior

Işık

Cengi̇z

2020

Perspect Psychiatr Care

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Purpose: This descriptive study was conducted for the purpose of determining the effect of sociodemographic characteristics of university students on emotional eating behavior. Design and Methods: The study was completed with a total of 537 students. A descriptive questionnaire and the Emotional Eating Scale were used. Descriptive statistics, correlation, and regression analyses were used. Finding: It was found that emotional eating was positively correlated with body mass index and weight. It was determined that variables such as will, anger, body mass index, and weight were predictors of emotional eating. Practical Implications: Emotional eating is a coping response with negative emotions. It is suggested that will is the most important factor affecting emotional eating. Thus, psychological dimension of wrong eating habit should definitely be addressed.

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Section: Discussionmentioning

confidence: 99%

The effect of sociodemographic characteristics of university students on emotional eating behavior

Işık

Cengi̇z

2020

Perspect Psychiatr Care

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“…Previous diary-based research has suggested that having more data points per day, as opposed to general daily stress reports, will be better able to capture the relationship between stress and behavior [11]. While these authors suggested that increased reporting could lead to increased burden and decreased willingness in participants, wearable monitoring might nevertheless facilitate data sampling hence decreasing burden.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…Additionally, people have a tendency to forget emotional peaks within 24 hours [7]. Diary methods have been used successfully in treatment and research, but often show decreased use over time [10,11]. Wearables could help collect data between sessions that is less subject to bias and such automatic registration could reduce the load and hereby potentially increase adherence to data collection between sessions.…”

Section: Introductionmentioning

confidence: 99%

Making Wearable Technology Available for Mental Healthcare through an Online Platform with Stress Detection Algorithms: The Carewear Project

Debard

Witte²,

Sels

et al. 2020

Journal of Sensors

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Over the past years, mobile health (mHealth) applications and specifically wearables have become able and available to collect data of increasing quality of relevance for mental health. Despite the large potential of wearable technology, mental healthcare professionals are currently lacking tools and knowledge to properly implement and make use of this technology in practice. The Carewear project is aimed at developing and evaluating an online platform, allowing healthcare professionals to use data from wearables in their clinical practice. Carewear implements data collection through self-tracking, which is aimed at helping people in their behavioral change process, as a component of a broader intervention or therapy guided by a mental healthcare professional. The Empatica E4 wearables are used to collect accelerometer data, electrodermal activity (EDA), and blood volume pulse (BVP) in real life. This data is uploaded to the Carewear platform where algorithms calculate moments of acute stress, average resting heart rate (HR), HR variability (HRV), step count, active periods, and total active minutes. The detected moments of acute stress can be annotated to indicate whether they are associated with a negative feeling of stress. Also, the mood of the day can be elaborated on. The online platform presents this information in a structured way to both the client and their mental healthcare professional. The goal of the current study was a first assessment of the accuracy of the algorithms in real life through comparisons with comprehensive annotated data in a small sample of five healthy participants without known stress-related complaints. Additionally, we assessed the usability of the application through user reports concerning their experiences with the wearable and online platform. While the current study shows that a substantial amount of false positives are detected in a healthy sample and that usability could be improved, the concept of a user-friendly platform to combine physiological data with self-report to inform on stress and mental health is viewed positively in our pilots.

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“…An increasing number of studies point to "stress" as an important factor in the development and maintenance of childhood obesity [8,74,79,110]. For example, families with an obese child experience more stress [102], and daily hassles seem to have a significant impact on children's eating behavior [44,110]. However, although the contributing role of stress in obesity is well studied, treatment options have not been developed in response.…”

Section: Introductionmentioning

confidence: 99%

Emotion regulation training in the treatment of obesity in young adolescents: protocol for a randomized controlled trial

Debeuf

Verbeken

Boelens

et al. 2020

Trials

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Background: The prevalence rates of childhood obesity are increasing. The current multidisciplinary treatments for (childhood) obesity are effective but only moderately and in the short term. A possible explanation for the onset and maintenance of childhood obesity is that it reflects a maladaptive mechanism for regulating high levels of stress and emotions. Therefore, the current RCT study aims to test the effectiveness of adding an emotion regulation training to care as usual (multidisciplinary obesity treatment) in young inpatients (10-14) involved in an obesity treatment program compared to care as usual alone. The research model for this RCT study states that when high levels of stress are regulated in a maladaptive way, this can contribute to the development of obesity. Methods: The current study will recruit 140 youngsters (10-14 years) who are involved in an inpatient multidisciplinary obesity treatment (MOT) program. After giving consent to participate in the study, youngsters will be randomly assigned, during consecutive waves, to one of two conditions: care as usual (receiving MOT) or intervention (receiving MOT in addition to emotion regulation training). The training itself consists of 12 weekly sessions, followed by a booster session after 3 and 5 months. The participants will be tested pretraining, posttraining, and at 6 months' follow-up. We hypothesize that, compared to the control condition, youngsters in the intervention condition will (1) use more adaptive emotion regulation strategies and (2) report less emotional eating, both primary outcome measures. Moreover, on the level of secondary outcome measures, we hypothesize that youngsters in the intervention condition, compared with the control condition, will (3) report better sleep quality, (4) undergo improved weight loss and weight loss maintenance, and (5) experience better long-term (6-months) psychological well-being.Discussion: This study will add to both the scientific and clinical literature on the role of emotion regulation in the development and maintenance of different psychopathologies, as emotion regulation is a transdiagnostic factor.

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Stress and Eating Behavior: A Daily Diary Study in Youngsters

Cited by 47 publications

References 92 publications

The effect of sociodemographic characteristics of university students on emotional eating behavior

The effect of sociodemographic characteristics of university students on emotional eating behavior

Making Wearable Technology Available for Mental Healthcare through an Online Platform with Stress Detection Algorithms: The Carewear Project

Emotion regulation training in the treatment of obesity in young adolescents: protocol for a randomized controlled trial

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