A systematic review of ecological momentary assessment studies on weight stigma and a call for a large-scale collaboration.
Hugh BidstrupLeah BrennanLeah M KaufmannAngela MeadowsXochitl de la Piedad GarciaPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2023)
Consistent with previous research, studies from this review suggest weight stigma leads to adverse outcomes. EMA has the potential to overcome many of the limitations present in cross-sectional research on weight stigma and provide more ecologically valid and reliable results. We argue for a collaborative data-sharing consortium with standardized EMA methodologies, so researchers worldwide can contribute to and make use of a large, collective dataset on weight stigma and health correlates (see osf.io/s5ru6/).
Keyphrases
- mental health
- mental illness
- hiv aids
- weight loss
- body mass index
- social support
- physical activity
- weight gain
- cross sectional
- body weight
- healthcare
- human health
- public health
- health information
- case control
- electronic health record
- risk assessment
- social media
- big data
- antiretroviral therapy
- deep learning
- artificial intelligence
- hiv infected
- health promotion