Psychometric Assessment of an Adapted Social Provisions Survey in a Sample of Adults with Prediabetes

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This study validated a six-factor Social Provisions Scale for weight management in adults with prediabetes, demonstrating acceptable model fit and measurement invariance across demographic subgroups.

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This paper evaluated the factor structure and measurement invariance of an adapted Social Provisions Scale tailored to weight management (SPS-WM) among 599 adults participating in a diabetes prevention trial. Using confirmatory analyses, the authors found that removing two collinear items yielded acceptable model fit and supported six correlated factors representing distinct components of weight-management–specific social provisions, with invariance across gender, weight status, education level, and age. A key limitation explicitly noted is that the work is a preprint and therefore not peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Background: The relevance of social support for weight management is not well documented in people with prediabetes. An important consideration is the adequate assessment of social provisions related to weight management in this population. Purpose: To assess the factor structure and measurement invariance of an adapted Social Provisions Scale specific to weight management (SPS-WM). Methods: Participants of a diabetes prevention trial (n=599) completed a demographic survey, and the SPS-WM. Confirmatory analyses tested the factor structure of the SPS-WM, and measurement invariance was assessed for gender, weight status, education level, and age. Results: Removal of two collinear items resulted in acceptable model fit, supporting six correlated factors for social provisions specific to weight management. Measurement invariance was supported across all subgroups. Conclusion: Results support score interpretations for these scales reflecting distinct components of social support specific to weight management in alignment with those of the original survey.
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Wilson, Tzeyu L. Michaud, Cynthia Castro Sweet, Jeffrey A. Katula, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-966071/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Background: The relevance of social support for weight management is not well documented in people with prediabetes. An important consideration is the adequate assessment of social provisions related to weight management in this population. Purpose: To assess the factor structure and measurement invariance of an adapted Social Provisions Scale specific to weight management (SPS-WM). Methods: Participants of a diabetes prevention trial (n=599) completed a demographic survey, and the SPS-WM. Confirmatory analyses tested the factor structure of the SPS-WM, and measurement invariance was assessed for gender, weight status, education level, and age. Results: Removal of two collinear items resulted in acceptable model fit, supporting six correlated factors for social provisions specific to weight management. Measurement invariance was supported across all subgroups. Conclusion: Results support score interpretations for these scales reflecting distinct components of social support specific to weight management in alignment with those of the original survey. Psychology Preventive Medicine social support perceived support diabetes prevention factorial validity measurement invariance Full Text Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-966071","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":56621857,"identity":"89cf1c36-b986-4303-a040-47bf79cabd5f","order_by":0,"name":"Kathryn E. 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