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The present studies investigated whether an individual's likelihood of demonstrating resilience in their trajectory of depressive symptoms would be associated with positive adjustment in psychological, functional, and health\u2010related domains following exposure to spinal cord injury, bereavement, and heart attack. In each study, we utilized growth mixture and robust linear mixed\u2010effects modeling to examine the associations between depression\u2010based trajectories and multiple domains of positive adjustment. Results from all three studies indicated that, on average, individuals who exhibited trajectories of resilience in relation to depressive symptoms concurrently experienced better quality of life, perceived manageability, self\u2010esteem, cognition, and body mass index (BMI). Further, a higher probability of belonging to the resilient trajectory class was linked to higher quality of life,\n                    <jats:italic>B<\/jats:italic>\n                    \u00a0=\u00a033.78, 95% CI [24.31, 42.91]; perceived manageability,\n                    <jats:italic>B<\/jats:italic>\n                    \u00a0=\u00a03.44, 95% CI [1.54, 5.21]; cognitive functioning,\n                    <jats:italic>B<\/jats:italic>\n                    \u00a0=\u00a02.30, 95% CI [1.32, 3.27]; and healthier BMI,\n                    <jats:italic>B<\/jats:italic>\n                    \u00a0=\u00a0\u22121.02, 95% CI [\u22121.89, \u22120.17]. Together, these findings illustrate that it is possible to utilize symptoms of depression to predict patterns of resilience across several clinically meaningful domains.\n                  <\/jats:p>","DOI":"10.1002\/jts.23140","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T00:18:47Z","timestamp":1742257127000},"page":"434-446","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Trajectories of depression predict patterns of resilience following loss and potentially traumatic events"],"prefix":"10.1002","volume":"38","author":[{"given":"Kan T.","family":"Long","sequence":"first","affiliation":[{"name":"Department of Psychiatry New York Presbyterian Hospital Columbia University Irving Medical Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isaac R.","family":"Galatzer\u2010Levy","sequence":"additional","affiliation":[{"name":"Department of Psychiatry New York University School of Medicine  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George A.","family":"Bonanno","sequence":"additional","affiliation":[{"name":"Department of Counseling and Clinical Psychology Teachers College Columbia University  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,3,17]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Asparouhov T. &Muth\u00e9n B.(2021).Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model.https:\/\/www.statmodel.com\/examples\/webnotes\/webnote21.pdf"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1037\/0003\u2010066X.59.1.20"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev\u2010psych\u2010011123\u2010024224"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0029256"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.bp.114.145516"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/1077559514557932"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1037\/ccp0000805"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2012.02.022"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/0956797614551750"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpr.2018.05.008"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/PHM.0000000000001773"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/368324"},{"key":"e_1_2_8_14_1","volume-title":"Public use dataset","author":"Health and Retirement Study","year":"1992"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.sc.3100745"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1348\/135910709X478222"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/13548500903012848"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/wps.20482"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpsychires.2021.10.043"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v075.i06"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2023.04.036"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525\u20101497.2001.016009606.x"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/pon.1876"},{"key":"e_1_2_8_24_1","first-page":"251","volume-title":"The Oxford handbook of stress and mental health","author":"Long K.","year":"2020"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1037\/met0000643"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev\u2010clinpsy\u2010081219\u2010120307"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1037\/hea0000481"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.ecolsys.28.1.341"},{"key":"e_1_2_8_29_1","volume-title":"Changing Lives of Older Couples (CLOC): A study of spousal bereavement in the Detroit area, 1987\u20131993","author":"Nesse R. 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