Body image in and out of the lab: Correspondence between lab-based attentional bias data and body shape dissatisfaction experiences in daily life

Fuller‐Tyszkiewicz, Matthew; Vuong, Hao; Linardon, Jake; Krug, Isabel; Broadbent, Jaclyn; Rodgers, Rachel F.

doi:10.1016/j.bodyim.2019.11.002

Cited by 10 publications

(7 citation statements)

References 48 publications

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“…First, in keeping with emotion regulation-based models of ED, further research should explore persistence of negative mood in daily life once initiated. Recent work by Fuller-Tyszkiewicz et al (2020) used a cutoff of 5 and above (out of 10) to indicate elevated state body dissatisfaction, and then derived a measure of persistence by evaluating change in state body dissatisfaction levels by the subsequent timepoint (~1-2 h later) [23]. The authors found that for individuals with elevated appearance-related attentional bias, heightened state body dissatisfaction tended to decrease by a smaller magnitude than for individuals with a lower level of this attentional bias.…”

Section: State-level Data Predicting Trait-level Ed Severitymentioning

confidence: 99%

State-Based Markers of Disordered Eating Symptom Severity

Fuller‐Tyszkiewicz

Krug

Smyth

et al. 2020

JCM

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Recent work using naturalistic, repeated, ambulatory assessment approaches have uncovered a range of within-person mood- and body image-related dynamics (such as fluctuation of mood and body dissatisfaction) that can prospectively predict eating disorder behaviors (e.g., a binge episode following an increase in negative mood). The prognostic significance of these state-based dynamics for predicting trait-level eating disorder severity, however, remains largely unexplored. The present study uses within-person relationships among state levels of negative mood, body image, and dieting as predictors of baseline, trait-level eating pathology, captured prior to a period of state-based data capture. Two-hundred and sixty women from the general population completed baseline measures of trait eating pathology and demographics, followed by a 7 to 10-day ecological momentary assessment phase comprising items measuring state body dissatisfaction, negative mood, upward appearance comparisons, and dietary restraint administered 6 times daily. Regression-based analyses showed that, in combination, state-based dynamics accounted for 34–43% variance explained in trait eating pathology, contingent on eating disorder symptom severity. Present findings highlight the viability of within-person, state-based dynamics as predictors of baseline trait-level disordered eating severity. Longitudinal testing is needed to determine whether these dynamics account for changes in disordered eating over time.

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Section: State-level Data Predicting Trait-level Ed Severitymentioning

confidence: 99%

State-Based Markers of Disordered Eating Symptom Severity

Fuller‐Tyszkiewicz

Krug

Smyth

et al. 2020

JCM

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“…Future EMA researchers might therefore investigate the time course for state BD decline by supplementing state BD measurement with questions that contextualise the reported BD experiences during specific time points. For instance, participants may be asked whether they ruminated about their appearance or whether they engaged in other appearance‐related behaviours (e.g., Fuller‐Tyszkiewicz et al., 2020; Seidel et al., 2016). Alternatively, to capture the potentially transient effect, whilst considering participant burden, future research could utilise event‐contingent scheduling whereby participants respond to surveys (i.e., assessing BD, DE urges, and negative mood) every time a specific event occurs (i.e., engaging with videoconferencing platforms; Hall et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Effects of videoconferencing use on momentary changes in disordered eating urges, body dissatisfaction, and mood

Portingale,

Kenny,

Fuller‐Tyszkiewicz

et al. 2023

Euro Eating Disorders Rev

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The coronavirus disease 2019 (COVID‐19) pandemic led to a global surge in videoconferencing use for work/study‐related reasons. Although these platforms heighten exposure to one's image, the implications of videoconferencing use on body image and eating concerns remain scantly examined. This study sought to investigate, in an Australian sample, whether videoconferencing for work/study‐related reasons predicted increases in body dissatisfaction (BD), urge to engage in disordered eating (DE; restrictive eating, exercise, overeating/purging), and negative mood at the state level. Participants (N = 482, 78.8% women, Mage = 20.5 years [SD = 5.3]) completed baseline demographic measures, accompanied by an ecological momentary assessment (EMA) of videoconferencing for work/study‐related reasons, BD, DE urges, and negative mood six times a day for 7 days via a smartphone application. Most participants (n = 429; 89.0%) reported state‐based videoconferencing use during the EMA phase. Consistent with expectations, state‐based videoconferencing use was associated with an increase in state‐level urges to engage in exercise. However, contrary to predictions, state‐based videoconferencing use was linked to a decrease in state‐level BD at the next assessment point and failed to predict negative mood and urges to engage in restrictive eating or overeating/purging at the state level. Given the simplified measure of videoconferencing use, the current research is considered preliminary and future replication and extension, using more nuanced measures, is warranted.

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“…Body image disturbances are known correlates of DR and EDs and are related to quality-of-life measures [ 77 ]. Susceptibility to attentional biases toward appearance-related information might be one vulnerability factor in the prolonged persistence of body image disturbances in daily life [ 78 ]. Cohort data found that the adolescent drive for thinness continues into adulthood and may predict compulsive eating behavior (reward-based eating) and greater BMI independent of childhood weight [ 79 ].…”

Section: Ultra-processed Food Addiction and Body Image Disturbancementioning

confidence: 99%

Clinical Considerations of Ultra-processed Food Addiction Across Weight Classes: an Eating Disorder Treatment and Care Perspective

Wiss

2022

Curr Addict Rep

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Purpose of Review To examine the prevalence rates of ultra-processed food addiction across different weight classes and offer guidelines for diagnosis and treatment. Clinicians are provided with practical considerations in the assessment of ultra-processed food addiction beyond the use of validated instruments. Recent Findings The weighted mean prevalence of ultra-processed food addiction is approximately 20% worldwide and varies widely based on the sample. At first glance, there appears a linear relationship between ultra-processed food addiction and BMI class. Further investigation indicates a J-shaped curve with heightened prevalence among the underweight. These findings highlight the need to assess for additional factors that may increase objective or subjective food addiction symptoms including eating disorders, dietary restraint, and other mental health diagnoses. Summary While clinical considerations across different weight classes vary, overemphasis on weight status may detract from the clinical utility of the ultra-processed food addiction construct. Considering weight status in conjunction with other psychiatric symptoms helps to better understand the various biopsychosocial mechanisms that influence eating behavior and can inform individualized treatment strategies.

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Body image in and out of the lab: Correspondence between lab-based attentional bias data and body shape dissatisfaction experiences in daily life

Cited by 10 publications

References 48 publications

State-Based Markers of Disordered Eating Symptom Severity

State-Based Markers of Disordered Eating Symptom Severity

Effects of videoconferencing use on momentary changes in disordered eating urges, body dissatisfaction, and mood

Clinical Considerations of Ultra-processed Food Addiction Across Weight Classes: an Eating Disorder Treatment and Care Perspective

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