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Such challenges include cataloguing multiple trends, developing multiple complex aetiological explanations, and modelling the collective large\u2010scale dynamics of these trends. Using a case\u2010based complexity approach, this study engaged in a richly described case study to demonstrate the utility of computational modelling for primary care research. N\u00a0=\u00a0259 people were subsampled from the<jats:italic>Diamond<\/jats:italic>database, one of the largest primary care depression cohort studies worldwide. A global measure of depressive symptoms (PHQ\u20109) and physical health (PCS\u201012) were assessed at 3, 6, 9, and 12\u00a0months and then annually for a total of 7\u00a0years. Eleven trajectories and 2 large\u2010scale collective dynamics were identified, revealing that while depression is comorbid with poor physical health, chronic illness is often low dynamic and not always linked to depression. Also, some of the cases in the unhealthy and oscillator trends remain ill without much chance of improvement. Finally, childhood abuse, partner violence, and negative life events are greater amongst unhealthy trends. Computational modelling offers a major advance for health researchers to account for the diversity of primary care patients and for developing better prognostic models for team\u2010based interdisciplinary care.<\/jats:p>","DOI":"10.1111\/jep.13042","type":"journal-article","created":{"date-parts":[[2018,10,2]],"date-time":"2018-10-02T10:45:37Z","timestamp":1538477137000},"page":"1293-1309","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Exploring comorbid depression and physical health trajectories: A case\u2010based computational modelling approach"],"prefix":"10.1111","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8763-8052","authenticated-orcid":false,"given":"Brian","family":"Castellani","sequence":"first","affiliation":[{"name":"Department of Sociology Durham University Durham UK"},{"name":"Department of Psychiatry Northeastern Ohio Medical University Rootstown OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frances","family":"Griffiths","sequence":"additional","affiliation":[{"name":"Division of Health Sciences University of Warwick Coventry UK"},{"name":"University of the Witwatersrand Johannesburg South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajeev","family":"Rajaram","sequence":"additional","affiliation":[{"name":"Department of Mathematics Kent State University Kent OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jane","family":"Gunn","sequence":"additional","affiliation":[{"name":"Department of General Practice University of Melbourne Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,10,2]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6963-6-88"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00127-010-0330-z"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.genhosppsych.2006.11.005"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1748-5908-8-110"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.genhosppsych.2014.01.013"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.4088\/JCP.14com09504"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.4088\/JCP.14m09147"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(07)61415-9"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijs.12357"},{"key":"e_1_2_8_11_1","first-page":"1","article-title":"Bywood P. co\u2010morbidity of mental and physical illness: meeting unmet care needs","volume":"18","author":"Lunnay B","year":"2011","journal-title":"Prim Health Care Res Info Serv"},{"key":"e_1_2_8_12_1","unstructured":"MathersC.The global burden of disease: 2004 update. 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