{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:23:07Z","timestamp":1787836987425,"version":"build-2784847793"},"reference-count":68,"publisher":"BMJ","issue":"3","license":[{"start":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T00:00:00Z","timestamp":1787788800000},"content-version":"unspecified","delay-in-days":57,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["bmjph"],"accepted":{"date-parts":[[2026,7,21]]},"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Neighbourhood characteristics are critical determinants of mental health; however, few studies have applied a multidimensional approach to examine neighbourhood profiles and their association with leading mental health outcomes. In this cross-sectional study, we leveraged data from the All of Us Research Program to identify neighbourhood profiles and examine associations with depression, anxiety and post-traumatic stress disorder (PTSD) in the USA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>First, profiles were derived using latent profile analysis of self-reported neighbourhood characteristics, including accessibility\/resources, safety, social cohesion, physical disorder and social disorder. Next, logistic regression models tested associations between neighbourhood profiles and self-reported diagnoses of PTSD, depression and anxiety, adjusting for age, education, income, housing status, health insurance, geographic region and neighbourhood socioeconomic disadvantage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among the 153\u2009712 participants (76% non-Hispanic white; 67% female), a diagnosis of PTSD was self-reported by 12%, depression by 37% and anxiety by 28%. Five neighbourhood profiles were identified: high-access\/moderate\u2013risk, high-access\/high-risk, high-access\/low-safety, low-access\/protective and high-access\/protective. Significant ethnoracial and socioeconomic inequities emerged: the majority of non-Hispanic white participants lived in low-access\/protective neighbourhoods, while ethnoracially minoritised and socioeconomically disadvantaged individuals disproportionately lived in high-access\/high-risk neighbourhoods. Compared with the high-access\/protective profile, all other profiles were associated with an increased likelihood of mental health diagnoses (\n                      <jats:italic>\n                        ps\n                        <jats:sub>adj<\/jats:sub>\n                      <\/jats:italic>\n                      &lt;0.001). The high-access\/high-risk profile was associated with the highest likelihood of reporting PTSD (OR=1.87), depression (OR=1.52) and anxiety (OR=1.46).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Using a profiling approach, results reveal that more accessible neighbourhoods with low physical\/social disorder and high safety and cohesion are associated with a lower likelihood of a mental health diagnosis. More accessible neighbourhoods may confer both benefits (eg, resources) and risks (eg, higher crime exposure). Evaluating the mechanisms by which multiple neighbourhood exposures influence PTSD, depression and anxiety may better inform interventions aimed at reducing the prevalence of these conditions and narrowing mental health inequities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjph-2025-004435","type":"journal-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:05:30Z","timestamp":1787835930000},"page":"e004435","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-sectional analysis of neighbourhood profiles and mental health conditions in the USA: insights from the All of Us Research Program"],"prefix":"10.1136","volume":"4","author":[{"given":"Grace E","family":"Rowland","sequence":"first","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henri","family":"Garrison-Desany","sequence":"additional","affiliation":[{"name":"Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan A","family":"Kimbrel","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA"},{"name":"Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4993-7836","authenticated-orcid":false,"given":"E Kate","family":"Webb","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2026,8,27]]},"reference":[{"key":"2026082706051735000_4.3.e004435.1","doi-asserted-by":"crossref","DOI":"10.4088\/JCP.21m14116","article-title":"The Economic Burden of Posttraumatic Stress Disorder in the United States From a Societal Perspective","volume":"83","author":"Davis","year":"2022","journal-title":"J Clin Psychiatry"},{"key":"2026082706051735000_4.3.e004435.2","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2020.27935","article-title":"Association of Posttraumatic Stress and Depressive Symptoms With Mortality in Women","volume":"3","author":"Roberts","year":"2020","journal-title":"JAMA Netw Open"},{"key":"2026082706051735000_4.3.e004435.3","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2023.37011","article-title":"Depressive Symptoms and Mortality Among US Adults","volume":"6","author":"Zhang","year":"2023","journal-title":"JAMA Netw Open"},{"key":"2026082706051735000_4.3.e004435.4","unstructured":"Post-Traumatic Stress Disorder (PTSD). 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