{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T23:42:30Z","timestamp":1789688550937,"version":"4.0.1"},"reference-count":72,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T00:00:00Z","timestamp":1656547200000},"content-version":"unspecified","delay-in-days":180,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100011132","name":"Rutgers University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100011132","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Gamble Family Foundation"},{"name":"Center for African Studies, Harvard University"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Glob. Ment. Health"],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S2054425122000280_sec_a1\"><jats:title>Objectives<\/jats:title><jats:p>Policy measures to slow the spread of coronavirus disease 2019 (COVID-19), such as curfews and business closures, may have negative effects on mental health. Populations in low- and middle-income countries (LMICs) may be particularly affected due to high rates of poverty and less comprehensive welfare systems, but the evidence is scarce. We evaluated predictors of depression, anxiety, and psychological distress in Uganda, which implemented one of the world's most stringent lockdowns.<\/jats:p><\/jats:sec><jats:sec id=\"S2054425122000280_sec_a2\" sec-type=\"methods\"><jats:title>Methods<\/jats:title><jats:p>We conducted a mobile phone-based cross-sectional survey from December 2020 through April 2021 among individuals aged 18 years or over in Uganda. We measured depression, anxiety, and psychological distress using the Patient Health Questionnaire (PHQ)-2, the Generalized Anxiety Disorder (GAD)-2, and the PHQ-4. We applied linear regression to assess associations between experiences of COVID-19 (including fear of infection, social isolation, income loss, difficulty accessing medical care, school closings, and interactions with police) and PHQ-4 score, adjusted for sociodemographic characteristics.<\/jats:p><\/jats:sec><jats:sec id=\"S2054425122000280_sec_a3\" sec-type=\"results\"><jats:title>Results<\/jats:title><jats:p>29.2% of 4066 total participants reported scores indicating moderate psychological distress, and 12.1% reported scores indicating severe distress. Distress was most common among individuals who were female, had lower levels of education, and lived in households with children. Related to COVID-19, PHQ-4 score was significantly associated with difficulty accessing medical care, worries about COVID-19, worries about interactions with police over lockdown measures, and days spent at home.<\/jats:p><\/jats:sec><jats:sec id=\"S2054425122000280_sec_a4\" sec-type=\"conclusions\"><jats:title>Conclusions<\/jats:title><jats:p>There is an urgent need to address the significant burden of psychological distress associated with COVID-19 and policy responses in LMICs. Pandemic mitigation strategies must consider mental health consequences.<\/jats:p><\/jats:sec>","DOI":"10.1017\/gmh.2022.28","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T07:20:08Z","timestamp":1656573608000},"page":"274-284","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":16,"title":["Levels of depression, anxiety, and psychological distress among Ugandan adults during the first wave of the COVID-19 pandemic: cross-sectional evidence from a mobile phone-based population survey"],"prefix":"10.1017","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8306-2375","authenticated-orcid":false,"given":"Emma","family":"Clarke-Deelder","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9176-373X","authenticated-orcid":false,"given":"Slawa","family":"Rokicki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0131-3466","authenticated-orcid":false,"given":"Mark E.","family":"McGovern","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine","family":"Birabwa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica L.","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Waiswa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine","family":"Abbo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2022,6,30]]},"reference":[{"key":"S2054425122000280_ref4","doi-asserted-by":"publisher","DOI":"10.1080\/09540121.2013.764385"},{"key":"S2054425122000280_ref53","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2020.589618"},{"key":"S2054425122000280_ref59a","unstructured":"United Nations Population Division (2019) World Population Prospects. 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