{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T07:56:15Z","timestamp":1791186975660,"version":"4.1.0"},"reference-count":52,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Rapid urbanization in low\u2010 and middle\u2010income countries has intensified health inequalities within informal settlements, yet empirical analyses often isolate behavioral factors from structural determinants. In Bangladesh, unplanned urban growth has produced vulnerable settlements where social inequalities intersect with infrastructural deficits, particularly in secondary coastal cities such as Barishal, a climate\u2010sensitive region characterized by migration, poverty, and weak municipal capacity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>This study examines the socio\u2010demographic and socioeconomic patterning of self\u2010reported health status among households residing in informal settlements in Barishal, Bangladesh, and assesses whether treatment\u2010seeking behavior independently influences health outcomes or whether structural determinants play a more significant role.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross\u2010sectional quantitative research design was employed with 151 households selected through systematic random sampling from the Palashpur informal settlement under the Barishal City Corporation. Data were collected through face\u2010to\u2010face structured interviews using a pre\u2010tested questionnaire. Health status was measured using the Veterans RAND 12\u2010item composite index. Drawing on the Social Determinants of Health framework, we analyzed the effects of age, gender, education, income, household size, and treatment\u2010seeking behavior using correlation and multiple linear regression models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The regression model explains 46.3% of the variance in health status (adjusted\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20090.444,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Age emerges as the strongest predictor (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.567,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), followed by years of schooling (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.213,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002) and household income (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.159,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.015). Gender becomes significant after controlling for structural variables (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.197,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005), while treatment\u2010seeking behavior shows no independent association with health status. Environmental assessment revealed severe infrastructural deprivation: 62.3% share water sources with over 20 households, 88.7% share latrines with 10 or more households, 76.2% report poor or no drainage, and 90.1% receive no municipal waste collection.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Findings indicate that health disparities in informal settlements are primarily structured by demographic positioning and socioeconomic resources rather than individual treatment choices. The study contributes localized evidence from a secondary coastal city and underscores the centrality of structural determinants in shaping urban health inequalities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.73157","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T05:09:16Z","timestamp":1788325756000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Health Status in Informal Urban Settlements of Barishal, Bangladesh: Social Determinants, Environmental Risks, and Treatment\u2010Seeking Behavior as Structural Drivers"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2744-2493","authenticated-orcid":false,"given":"Md. Ohidur","family":"Zaman","sequence":"first","affiliation":[{"name":"University of Barishal Barishal Bangladesh"},{"name":"University of Lucknow Lucknow Uttar Pradesh India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farjana","family":"Afroz","sequence":"additional","affiliation":[{"name":"University of Barishal Barishal Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nahida","family":"Sultana","sequence":"additional","affiliation":[{"name":"University of Barishal Barishal Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dipti Ranjan","family":"Sahu","sequence":"additional","affiliation":[{"name":"University of Lucknow Lucknow Uttar Pradesh India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,1]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjgh-2019-001501"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)31650-6"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/1472-698X-7-2"},{"issue":"1","key":"e_1_2_12_5_1","first-page":"18","article-title":"Assessing the Factors Affecting the Growth of Informal Sectors in Bangladesh: An Empirical Study on Barishal City","volume":"17","author":"Abir T. 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