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We describe AMR trends in zoonotic bacteria and identify risk factors associated with AMR occurrence in animals and derived food in Portugal. Data from the Portuguese AMR surveillance programme on food\u2010producing animals, 2014\u20132018, were used. AMR frequencies were calculated for <jats:italic>Escherichia coli<\/jats:italic>, <jats:italic>Campylobacter<\/jats:italic> and <jats:italic>Salmonella<\/jats:italic> in broilers, turkeys, pig populations and their derived food products. AMR\u2010associated factors were studied for <jats:italic>Salmonella<\/jats:italic> isolates: population, sampling stage (farm, slaughterhouse and processing plant), sample type (environmental, carcase and food), sampler (HACCP, industry, official and official and industry), sample context (control and eradication programmes and monitoring), year (2014\u20132018) and season. Logistic regression was applied to estimate crude odds ratio and adjusted odds ratio (aOR) with 95% confidence intervals (95% CI). The final models were obtained using a backward stepwise method. This study included 2,157 <jats:italic>Escherichia coli<\/jats:italic>, 561 <jats:italic>Campylobacter<\/jats:italic> and 1,071 <jats:italic>Salmonella<\/jats:italic> isolates. The highest prevalence estimates amongst tested antimicrobials for each bacterial species in 2014\u20132018 had the following ranges: (i) (fluoro)quinolones: <jats:italic>E.\u00a0coli<\/jats:italic>: 84%\u201393%, <jats:italic>Campylobacter<\/jats:italic>: 94%\u201398%; (ii) tetracyclines: <jats:italic>E.\u00a0coli<\/jats:italic>: 68%\u201391%, <jats:italic>Campylobacter<\/jats:italic>: 87%\u201391%, <jats:italic>Salmonella<\/jats:italic>: 72%; (iii)\u00a0penicillins: <jats:italic>E.\u00a0coli<\/jats:italic>: 82%\u2013100%; (iv) sulphonamides: <jats:italic>E.\u00a0coli<\/jats:italic>: 68%\u201382%. Compared with the reference categories for host (broiler), year (2014), season (winter) and sampler (HACCP own checks), resistance to at least one antimicrobial in <jats:italic>Salmonella<\/jats:italic> was significantly less likely in laying hens (aOR 0.28; 95% CI: 0.18\u20130.42), 2016 (aOR 0.56; 95% CI: 0.33\u20130.93), 2017 (aOR 0.29; 95% CI: 0.17\u20130.51) and 2018 (aOR 0.35; 95% CI: 0.20\u20130.61), autumn (aOR 0.63; 95% CI: 0.40\u20130.97) and more likely to occur in broiler products (aOR 5.14; 95% CI: 2.61\u201310.54), pork products (aOR 6.84; 95% CI: 3.74\u201312.98) and official and industry combined sampling (aOR 2.16; 95% CI: 1.06\u20134.47). This study reveals a high prevalence of <jats:italic>Salmonella<\/jats:italic> resistance, especially during the summer and in post\u2010farm stages of the Portuguese food system to nearly all antimicrobials and in the summer in farms to (fluoro)quinolones. Measures to tackle resistance are required.<\/jats:p>","DOI":"10.1111\/zph.12920","type":"journal-article","created":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T03:45:24Z","timestamp":1644291924000},"page":"312-324","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Assessing antimicrobial resistance occurrence in the Portuguese food system: Poultry, pigs and derived food, 2014\u20132018"],"prefix":"10.1111","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2496-7729","authenticated-orcid":false,"given":"Miguel","family":"Costa","sequence":"first","affiliation":[{"name":"NOVA National School of Public Health, Public Health Research Centre Universidade NOVA de Lisboa  Lisboa Portugal"},{"name":"Comprehensive Health Research Center (CHRC) Universidade NOVA de Lisboa  Lisboa Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Cardo","sequence":"additional","affiliation":[{"name":"Directorate\u2010General of Food and Veterinary Veterinary Public Health Department  Lisbon Portugal"},{"name":"CIISA \u2013 Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine University of Lisbon  Lisbon Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Cara d'Anjo","sequence":"additional","affiliation":[{"name":"Directorate\u2010General of Food and Veterinary Veterinary Public Health Department  Lisbon Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreia","family":"Leite","sequence":"additional","affiliation":[{"name":"NOVA National School of Public Health, Public Health Research Centre Universidade NOVA de Lisboa  Lisboa Portugal"},{"name":"Comprehensive Health Research Center (CHRC) Universidade NOVA de Lisboa  Lisboa Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,2,7]]},"reference":[{"issue":"6","key":"e_1_2_9_2_1","first-page":"5709","article-title":"Technical specifications on harmonised monitoring of antimicrobial resistance in zoonotic and indicator bacteria from food\u2010producing animals and food","volume":"17","author":"Aerts M.","year":"2019","journal-title":"EFSA Journal"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/tbed.13346"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodres.2013.10.041"},{"key":"e_1_2_9_5_1","volume-title":"A new instrument for microbial epidemiology: Empowering antimicrobial resistance data analysis","author":"Berends M. 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