{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T16:46:02Z","timestamp":1791477962195,"version":"4.3.4"},"reference-count":36,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"unspecified","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Camb. prisms Glob. ment. health"],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Mental well-being is a growing but underrecognized public health priority in rapidly urbanizing, resource-constrained settings. Conventional mean-based analyses obscure important heterogeneity within vulnerable populations. We aimed to identify distinct mental well-being profiles among adults living in urban slums of Gorakhpur, India, using a person-centered approach. A cross-sectional survey (2023\u20132024) was conducted among 406 adults (\u226518 years) from eight randomly selected slum settlements. Mental well-being was measured using the Short Warwick\u2013Edinburgh Mental Well-being Scale (SWEMWBS). Standardized item scores were analyzed using K-means clustering, with the optimal cluster solution determined by the elbow method and validated using silhouette and Davies\u2013Bouldin indices. Associations with sociodemographic and psychological factors were examined using chi-square tests, ANOVA, and multiple linear regression. Three profiles emerged: High (n\u00a0=\u00a0133), Moderate (n\u00a0=\u00a0137), and Low well-being (n\u00a0=\u00a0136). SWEMWBS scores differed significantly across clusters (F(2,403)\u00a0=\u00a0482.1; p\u00a0&lt;\u00a00.001). The Low well-being group reported substantially higher stress, depression, and anxiety, and women were disproportionately represented (\n                    <jats:italic>\u03c7<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    (2)\u00a0=\u00a029.30; p\u00a0&lt;\u00a00.001). Longer sleep duration, higher household education, and lower stress independently predicted better wellbeing. Mental well-being is highly heterogeneous within urban slum populations. Cluster-based profiling enables more precise, equitable, and context-sensitive mental health interventions.\n                  <\/jats:p>","DOI":"10.1017\/gmh.2026.10132","type":"journal-article","created":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T09:13:16Z","timestamp":1769418796000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":1,"title":["Uncovering mental well-being profiles in urban slums of Gorakhpur, India: A cluster-based approach using SWEMWBS"],"prefix":"10.1017","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8059-9364","authenticated-orcid":false,"given":"U.","family":"Venkatesh","sequence":"first","affiliation":[{"name":"All India Institute of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arshad","family":"Ahmed","sequence":"additional","affiliation":[{"name":"All India Institute of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashoo","family":"Grover","sequence":"additional","affiliation":[{"name":"Indian Council of Medical Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashish","family":"Joshi","sequence":"additional","affiliation":[{"name":"The University of Memphis School of Public Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Om Prakash","family":"Bera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anand Mohan","family":"Dixit","sequence":"additional","affiliation":[{"name":"All India Institute of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hari Shanker","family":"Joshi","sequence":"additional","affiliation":[{"name":"Indian Council of Medical Research, Regional Medical Research Centre"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Durga","sequence":"additional","affiliation":[{"name":"Independent Researcher"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2026,1,26]]},"reference":[{"key":"S2054425126101320_r21","doi-asserted-by":"publisher","DOI":"10.1080\/21645515.2015.1066052"},{"key":"S2054425126101320_r22","doi-asserted-by":"publisher","DOI":"10.1080\/00207411.2015.1035081"},{"key":"S2054425126101320_r34","first-page":"291","article-title":"Systematic quality evaluation of mobile health applications using selenium web scraping approach","volume":"79","author":"Venkatesh","year":"2025","journal-title":"Przeglad 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The Author(s), 2026. Published by Cambridge University Press","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http:\/\/creativecommons.org\/licenses\/by\/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}],"article-number":"e18"}}