{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T09:27:08Z","timestamp":1787563628886,"version":"build-2736575974"},"reference-count":54,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T00:00:00Z","timestamp":1693440000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018956","name":"NIHR Cambridge Biomedical Research Centre","doi-asserted-by":"publisher","award":["IS\u2010BRC\u20101215\u201020014"],"award-info":[{"award-number":["IS\u2010BRC\u20101215\u201020014"]}],"id":[{"id":"10.13039\/501100018956","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011054","name":"Danish International Development Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018562","name":"Steno Diabetes Center Copenhagen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018562","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aim<\/jats:title>\n                    <jats:p>Fatty Liver Index (FLI) is a simple clinical scoring system estimating non\u2010alcoholic fatty liver disease (NAFLD). It is validated in European\u2010descent and Asian populations, but not in sub\u2010Saharan Africans. The aim of this study is to evaluate the validity of the FLI for predicting NAFLD in a population from Kenya.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Participants were recruited from a community\u2010based study conducted in Kenya. NAFLD was diagnosed using hepatic ultrasonography. Clinical, anthropometrical, biochemical and lifestyle data were obtained. The accuracy and cut\u2010off point of the FLI to detect NAFLD were evaluated by area under the receiver operator characteristic curve and the maximum Youden index analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 640 participants (94 with NAFLD) were included. Mean age was 37.4\u2009\u00b1\u20090.4\u2009years and 58.7% were women. Mean body mass index (BMI) was 22.3 \u00b1\u20090.2\u2009kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      and waist circumference (WC) 79.1\u2009\u00b1\u20090.4\u2009cm. A total of 15 (2.3%) participants were diagnosed with type 2 diabetes and 65 (10.2%) with obesity (BMI\u2009\u2265\u200930\u2009kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ). AUROC of FLI for predicting NAFLD was 0.80 (95% CI 0.74\u20130.85), which was significantly higher compared to individual components gamma\u2010glutamyl transferase and triglycerides (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05), but not compared to anthropometric parameters BMI (AUROC of 0.83, 95% CI 0.79\u20130.88) and WC (AUROC of 0.81, 95% CI 0.76\u20130.87).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>FLI is a simple valid scoring system to use in rural and urban Kenyan adults. However, this index might not be superior to BMI or WC to predict NAFLD, and those measurements might therefore be more appropriate in limited settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/tmi.13927","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T07:33:36Z","timestamp":1693467216000},"page":"830-838","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Validation of the\n                    <scp>Fatty Liver Index<\/scp>\n                    for identifying non\u2010alcoholic fatty liver disease in a Kenyan population"],"prefix":"10.1111","volume":"28","author":[{"given":"Fannie","family":"Lajeunesse\u2010Trempe","sequence":"first","affiliation":[{"name":"School of Nutrition Laval University  Quebec City Quebec Canada"},{"name":"Quebec Heart and Lung Institute Laval University  Quebec City Quebec Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael K.","family":"Boit","sequence":"additional","affiliation":[{"name":"Department of Physical, Exercise and Sport Science Kenyatta University  Nairobi Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lydia U.","family":"Kaduka","sequence":"additional","affiliation":[{"name":"Centre for Public Health Research KEMRI  Nairobi Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuella","family":"De Lucia\u2010Rolfe","sequence":"additional","affiliation":[{"name":"NIHR Cambridge Biomedical Research Centre\u2010Diet, Anthropometry and Physical Activity Group, MRC Epidemiology Unit, Institute of Metabolic Science University of Cambridge  Cambridge UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexis","family":"Baass","sequence":"additional","affiliation":[{"name":"Lipids, Nutrition and Cardiovascular Prevention Clinic of the Montreal Clinical Research 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