{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T11:22:03Z","timestamp":1788434523658,"version":"build-2803163510"},"reference-count":30,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T00:00:00Z","timestamp":1756339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T00:00:00Z","timestamp":1756339200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["P30DK020572"],"award-info":[{"award-number":["P30DK020572"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Community Health Equity Research &amp; Policy"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Prediabetes is a risk factor for type 2 diabetes. The transition from prediabetes to type 2 diabetes is inequitable, with Latinos reporting an increased risk than other groups. Stress can affect this transition; however, we have no means of measuring prediabetes-related stress.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research Design and Study Sample<\/jats:title>\n                    <jats:p>We used group concept-mapping, a participatory mixed-methods approach to collect data from English- and Spanish-speaking Latino adults (18+\u00a0years old) living with prediabetes, or clinical providers, in the United States. Participants were invited to multiple activities. First, brainstorming around focal questions about the stress of prediabetes diagnosis and management. Second, individually sorting 86 brainstormed statements into like groups, and rating these statements based on perceived importance. Third, interpreting quantitative results. Post-concept mapping, we invited participants to complete cognitive interviews of the initial English and Spanish versions of the scale.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Forty participants engaged in one or more activities. Results from the sorting and rating activities resulted in 10 clusters that reflect how participants grouped the 86 statements. The clusters were shared with participants to support the interpretation of the data. Cognitive interviews revealed participant suggestions to improve comprehension of instructions, response options, and items. This iterative process resulted in a 29-item scale developed in English and Spanish.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We centered participant experiences to create the first scale that focuses on the emotional health related to prediabetes diagnosis and management. This scale can support diabetes prevention research by measuring prediabetes-specific stress and support clinical interactions to inform tailored conversations between patients and providers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/2752535x251372277","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T16:40:54Z","timestamp":1756399254000},"page":"37-47","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Using Participatory Methods to Develop the Prediabetes-Related Stress Scale (PRSS)"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1300-6957","authenticated-orcid":false,"given":"Deshira D.","family":"Wallace","sequence":"first","affiliation":[{"name":"UNC Gillings School of Global Public Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiffiany","family":"Portacio","sequence":"additional","affiliation":[{"name":"UNC Gillings School of Global Public Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paris","family":"Wiechecki Vergara","sequence":"additional","affiliation":[{"name":"UNC Gillings School of Global Public Health"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,8,28]]},"reference":[{"key":"e_1_3_8_2_2","volume-title":"National diabetes statistics report","author":"Centers for Disease and Control (CDC)","year":"2024","unstructured":"Centers for Disease and Control (CDC). National diabetes statistics report. https:\/\/www.cdc.gov\/diabetes\/php\/data-research\/index.html (2024b, accessed 10 August 2024)."},{"key":"e_1_3_8_3_2","unstructured":"Centers for Disease Control and Prevention (CDC). What is the national DPP? https:\/\/www.cdc.gov\/diabetes-prevention\/programs\/what-is-the-national-dpp.html#cdc_generic_section_3-key-component-the-lifestyle-change-program (2024c May 10 2024)."},{"key":"e_1_3_8_4_2","volume-title":"National diabetes prevention program","author":"Centers for Disease Control and Prevention (CDC)","year":"2024","unstructured":"Centers for Disease Control and Prevention (CDC). National diabetes prevention program. https:\/\/www.cdc.gov\/diabetes\/communication-resources\/ndpp-prevent-type-2-diabetes.html (2024a, accessed 15 May 2024)."},{"key":"e_1_3_8_5_2","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000005324"},{"key":"e_1_3_8_6_2","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.92.4.543"},{"key":"e_1_3_8_7_2","first-page":"1","article-title":"Racial, ethnic, and urban\/rural differences in transitions into diabetes: evidence from the health and retirement survey biomarker and self-reported data","volume":"37","author":"Chung H","year":"2022","unstructured":"Chung H, Arends-Kuenning M. Racial, ethnic, and urban\/rural differences in transitions into diabetes: evidence from the health and retirement survey biomarker and self-reported data. 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