Distress tolerance across self-report, behavioral and psychophysiological domains in women with eating disorders and healthy controls

Yiu, Angelina; Christensen, Kara A.; Arlt, Jean M.; Chen, Eunice

doi:10.1101/170217

Cited by 1 publication

(1 citation statement)

References 63 publications

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“…A number of the studies reviewed supported construct validity of these sensors for measuring physiological arousal associated with stress in individuals with EDs by identifying statistically significant changes in autonomic features during physical and psychological stressors. Construct validity among individuals with EDs was identified for ECG (Brunner et al, 1989; Lapidus et al, 2020; Messerli‐Burgy et al, 2010; Rommel et al, 2015), chest‐worn heart rate sensors (Het et al, 2015, Het et al, 2020; Lonigro et al, 2020; Schmalbach, Herhaus, Passler, Runst, et al, 2021), palm‐worn electrodes for the measurement of heart rate and electrodermal activity (Reichel et al, 2014; Yiu et al, 2018), finger plethysmography (Friederich et al, 2006; Gordon et al, 2001; Messerli‐Burgy et al, 2010), and automated sphygmomanometer (Brunner et al, 1989; Friederich et al, 2006; Hilbert et al, 2011; Vogele et al, 2009).…”

Section: Resultsmentioning

confidence: 99%

Sensor technology in eating disorders research: A systematic review

Presseller

Patarinski

Fan

et al. 2022

Intl J Eating Disorders

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Objective Sensor technologies offer exciting potential to objectively measure psychopathological correlates of eating pathology and eating disorder (ED) research utilizing sensors has rapidly proliferated in the past several years. The aims of the present review are: (1) characterize the types of sensors that have been utilized in ED research, (2) identify the psychopathological factors relevant to EDs that have been assessed using sensors, (3) describe the data supporting the validity and reliability of these sensors, (4) discuss limitations associated with these sensors, and (5) identify gaps that persist within the ED literature with regard to use of sensor technologies. Method A systematic search was conducted of PubMed, PsycINFO, Web of Science, ProQuest, and “gray” literature sources. Eligible publications were empirical studies that utilized sensors to measure at least one psychological variable among clinical ED populations. Results Sensors have been utilized with ED samples to measure eating behaviors, physical activity, sleep, autonomic nervous system activity, eyeblink startle response, visual attention, and visual‐haptic object integration. The reliability and validity of these sensors varies widely and there are a number of significant gaps that remain in the literature with regard to the types of sensors utilized, context in which sensors have been used, and populations studied. Discussion The existing literature utilizing sensors within ED research largely support the feasibility and acceptability of these tools. Sensors should continue to be utilized within the field, with a specific focus on examining the reliability and validity of these tools within ED samples and increasing the diversity of samples studied. Public Significance Statement Sensor technologies, such as those included in modern smartwatches, offer new opportunities to measure factors that may maintain or contribute to symptoms of eating disorders. This article describes the types of sensors that have been used in eating disorders research, challenges that may arise in using these sensors, and discusses new applications of these sensors that may be pursued in future research.

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