{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:47:14Z","timestamp":1793296034088,"version":"4.5.0"},"reference-count":34,"publisher":"BMJ","issue":"10","license":[{"start":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T00:00:00Z","timestamp":1665100800000},"content-version":"unspecified","delay-in-days":6,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"crossref","award":["Project Grant GNT 1087006"],"award-info":[{"award-number":["Project Grant GNT 1087006"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2022,2,25]]},"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Prevalence of lifetime-induced abortion in female sex workers (FSWs) in Kenya was previously estimated between 43% and 86%. Our analysis aimed at assessing lifetime prevalence and correlates, and incidence and predictors of induced abortions among FSWs in Kenya.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This is a secondary prospective cohort analysis using data collected as part of the WHISPER or SHOUT cluster-randomised trial in Mombasa, assessing effectiveness of an SMS-intervention to reduce incidence of unintended pregnancy. Eligible participants were current FSWs, 16\u201334 years and not pregnant or planning pregnancy. Baseline data on self-reported lifetime abortion, correlates and predictors were collected between September 2016 and May 2017. Abortion incidence was measured at 6-month and 12-month follow-up. A multivariable logistic regression model was used to assess correlates of lifetime abortion and discrete-time survival analysis was used to assess predictors of abortions during follow-up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 866 eligible participants, lifetime abortion prevalence was 11.9%, while lifetime unintended pregnancy prevalence was 51.2%. Correlates of lifetime abortions were currently not using a highly effective contraceptive (adjusted OR (AOR)=1.76 (95% CI=1.11 to 2.79), p=0.017) and having ever-experienced intimate partner violence (IPV) (AOR=2.61 (95% CI=1.35 to 5.06), p=0.005). Incidence of unintended pregnancy and induced abortion were 15.5 and 3.9 per 100 women-years, respectively. No statistically significant associations were found between hazard of abortion and age, sex work duration, partner status, contraceptive use and IPV experience.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Although experience of unintended pregnancy remains high, lifetime prevalence of abortion may have decreased among FSW in Kenya. Addressing IPV could further decrease induced abortions in this population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration number<\/jats:title>\n                    <jats:p>ACTRN12616000852459.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2021-053218","type":"journal-article","created":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T12:10:15Z","timestamp":1665144615000},"page":"e053218","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":9,"title":["Assessment of the lifetime prevalence and incidence of induced abortion and correlates among female sex workers in Mombasa, Kenya: a secondary cohort analysis"],"prefix":"10.1136","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5245-8388","authenticated-orcid":false,"given":"Anne Marieke","family":"Simmelink","sequence":"first","affiliation":[{"name":"Department of Population Health, The Aga Khan University, Nairobi, Nairobi, Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline M","family":"Gichuki","sequence":"additional","affiliation":[{"name":"Department of Population Health, The Aga Khan University, Nairobi, Nairobi, Kenya"},{"name":"International Centre for Reproductive Health Kenya, Mombasa, Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frances H","family":"Ampt","sequence":"additional","affiliation":[{"name":"Burnet Institute, Melbourne, Victoria, Australia"},{"name":"Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Griffins","family":"Manguro","sequence":"additional","affiliation":[{"name":"International Centre for Reproductive Health Kenya, Mombasa, Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Megan S C","family":"Lim","sequence":"additional","affiliation":[{"name":"Burnet Institute, Melbourne, Victoria, Australia"},{"name":"Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Agius","sequence":"additional","affiliation":[{"name":"Burnet Institute, Melbourne, Victoria, Australia"},{"name":"Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margaret","family":"Hellard","sequence":"additional","affiliation":[{"name":"Burnet Institute, Melbourne, Victoria, Australia"},{"name":"Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia"},{"name":"Department of Infectious Diseases, The Alfred Hospital, Melbourne, Victoria, Australia"},{"name":"Doherty Institute and School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walter","family":"Jaoko","sequence":"additional","affiliation":[{"name":"Department of Medical Microbiology and Immunology, University of Nairobi, Nairobi, Nairobi, Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark A","family":"Stoov\u00e9","sequence":"additional","affiliation":[{"name":"Burnet Institute, Melbourne, Victoria, Australia"},{"name":"Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia"},{"name":"School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly","family":"L'Engle","sequence":"additional","affiliation":[{"name":"School of Nursing and Health Professions, University of San Francisco, San Francisco, California, 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