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The current study aims to test a third-wave based IWB intervention paired with a standard BWLP delivered through video conferencing software.
Full description
Internalized weight bias (IWB), has been shown to impact mental (e.g., depression and anxiety) and physical health (e.g., cardiometabolic functioning), as well as weight loss and weight loss associated behaviors (e.g., interference with exercise and healthy eating). These associated behaviors especially pose a risk for weight regain and disruption of healthy weight loss. Therefore, given the association between IWB and weight loss associated behaviors, as well as the psychological and health risks associated with IWB, it is clear that IWB interventions are also needed independently and in conjunction with behavioral weight loss programs (BWLPs). Interventions using third-wave strategies (such as acceptance commitment therapy; ACT) have begun to show promise in reducing IWB, but have not yet looked at this therapy in conjunction with a BWLP. Finally, there has also been a growing interest in and need for telehealth-based programs and interventions. The COVID19 pandemic demonstrated a clear need for efficacious telehealth programs, and a further benefit is that these programs may reach populations with limited access to resources (i.e., rural populations). Thus, the current study aims to examine a third-wave based IWB intervention paired with a standard BWLP delivered through video conferencing software.
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Inclusion and exclusion criteria
Inclusion:
Interested in weight loss
18 or older
BMI of 25 kg/m2 or greater
Higher-than-average levels of IWB
Access to internet, along with a web camera and sound, and be able to use video conferencing software and attend weekly online groups, and access to a reliable scale to weigh themselves weekly
Exclusion:
Individuals with current use of medication prescribed for weight loss (such as orlistat, sibutramine, or rimonabant)
Pregnant or planning to become pregnant
Primary purpose
Allocation
Interventional model
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28 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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