Optimizing the Validity of the Multidimensional Assessment of Interoceptive Awareness to Predict Disordered Eating

Principal Investigator/Project Director

Janell Mensinger

Colleges / Centers

College of Psychology

Funder

U.S. DHHS - National Institutes of Health (NIH)

Start Date

4-2024

Abstract

The overarching goal of this R16 SuRE project is to optimize the validity of the Multidimensional Assessment of Interceptive Awareness, version 2 (MAIA) for evaluating mind-body interventions that target the mechanistic effects of interoceptive skills. Interoception is defined as one’s ability to adaptively interpret and respond to signals from within the body. Without it, we would not know when to eat or drink, rest, how to get warm, cool off, or react to danger. In essence, life would lack the sentient element of being human, including experiences of joy and social connection thereby diminishing emotional, social, and cognitive capacities. Many of interoceptive responses are autonomically driven; others are within the realm of subjective experience. The subjective facet is termed ‘interoceptive sensibility,’ and it is measured using self-report questionnaires—of which the MAIA is the most comprehensive and broadly adopted. Interoceptive sensibility has wide-ranging implications on human health. Deficits in interoceptive sensibility are a well-established transdiagnostic feature of eating disorders and psychopathology in general. Therefore, better understanding this trait has implications for phenotyping multiple mental health conditions. Frameworks for targeting interoceptive sensibility in mind-body interventions is a growing area of research. However, operationalizing this construct has been limited by measurement inconsistencies and problems with validity. We recently conducted preliminary validity tests of the MAIA’s underlying common factor model (N=1294) and supported the original eight-dimension factor structure. Our preliminary data also suggested measurement non-invariance across demographic groups and potential unobserved population heterogeneity, which limit our ability to use the tool to evaluate interventions as intended. This proposal aims to address these concerns. We will collect survey data from a US Census-matched sample of adults (N~2000) using an online platform. Our first aim will apply moderated nonlinear factor analysis (MNLFA) to create person-specific factor scores that optimize the validity of using the MAIA to make group comparisons, predict distal outcomes, and measure change. The MNLFA procedure identifies which questions on the MAIA have differential item functioning across a group of relevant background and psychosocial characteristics, including biological sex, age, body mass index, disordered eating, negative body image, and traumatic stress. MNLFA adjusts the scoring algorithms for the components of the MAIA to account for population heterogeneity. Our second aim will apply latent profile analysis (LPA) to identify typologies of interceptive sensibility by clustering unobserved groups of people who tend to score similarly on the multiple dimensions of the scale. LPA applies a person-centered approach instead of the more dominant variable-centered approaches (such as confirmatory factor analysis) as an alternative dimension reduction technique. The resulting typologies will serve as prototypes of interoceptive sensibility with which we will generate and test hypotheses about how the components of the MAIA interact to predict disordered eating and the associated risk factors of negative body image and traumatic stress. In summary, one of the most impactful long-term contributions of this project is to increase the rigor of the MAIA measurement model to expand the field’s capacity to evaluate the next generation of targeted, accessible, and broadly effective MHealth mind-body interventions.

This document is currently not available here.

Share

COinS