{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:18:08Z","timestamp":1787015888784,"version":"build-2736575974"},"reference-count":38,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2021,3,5]],"date-time":"2021-03-05T00:00:00Z","timestamp":1614902400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100001680","name":"Charles H. Hood Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100001680","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000097","name":"National Center for Research Resources","doi-asserted-by":"publisher","award":["UL1 TR001102"],"award-info":[{"award-number":["UL1 TR001102"]}],"id":[{"id":"10.13039\/100000097","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["K23ES022242"],"award-info":[{"award-number":["K23ES022242"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["T32 HD052458"],"award-info":[{"award-number":["T32 HD052458"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Paediatric Perinatal Epid"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Mental health symptoms, stress, and low psychosocial resources are associated with preterm delivery. It is unknown if there are groups of women who experience similar patterns of these adverse psychosocial factors during pregnancy and if the risk of preterm delivery differs among these groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify groups of women with similar patterns of adverse psychosocial factors during pregnancy and determine whether the risk of preterm delivery differs among these groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Spontaneous Prematurity and Epigenetics of the Cervix (SPEC) is a prospective cohort study of pregnant women, aged 18 and older. In this analysis, we included women who enrolled after 24 August 2014 and delivered by 20 January 2019. As women could enrol more than once, our cohort included 774 women with 787 pregnancies. We conducted a latent class analysis to identify groups of women with similar patterns of adverse psychosocial factors during pregnancy based on their responses to measures assessing depression, perceived stress, anxiety (pregnancy\u2010related and generalised), stressful life events, resilience, and social support (partner and friend\/family). After identifying the latent classes, we used log\u2010binomial regression to compare the incidence of preterm delivery among the classes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The median age among participants was 33.2\u00a0years (interquartile range 30.3\u201036.3), and the majority were non\u2010Hispanic white (56.9%). We identified three classes of adverse psychosocial factors (few, some, and many factors). In total, 63 (8.0%) pregnancies resulted in a preterm delivery. Compared to participants with few factors, the risk of preterm delivery was no different among participants with some (RR 1.23, 95% CI 0.68, 2.25) and many adverse factors (RR 1.62, 95% CI 0.73, 3.62).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We identified three groups of pregnant women with similar patterns of adverse psychosocial factors. We did not observe a difference in the risk of preterm delivery among the classes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ppe.12756","type":"journal-article","created":{"date-parts":[[2021,3,5]],"date-time":"2021-03-05T11:10:57Z","timestamp":1614942657000},"page":"519-529","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Adverse psychosocial factors in pregnancy and preterm delivery"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3553-6561","authenticated-orcid":false,"given":"Miriam J.","family":"Haviland","sequence":"first","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yael I.","family":"Nillni","sequence":"additional","affiliation":[{"name":"Department of Psychiatry Boston University School of Medicine Boston MA USA"},{"name":"National Center for PTSD Women's Health Sciences Division at VA Boston Healthcare System Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard J.","family":"Cabral","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew P.","family":"Fox","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2138-3752","authenticated-orcid":false,"given":"Lauren A.","family":"Wise","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heather H.","family":"Burris","sequence":"additional","affiliation":[{"name":"Division of Neonatology Department of Pediatrics Children's Hospital of Philadelphia University of Pennsylvania Perelman School of Medicine Philadelphia PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele R.","family":"Hacker","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,3,5]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamapsychiatry.2016.0934"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/ppe.12225"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000000759"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wombi.2016.03.004"},{"key":"e_1_2_9_6_1","volume-title":"Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences","author":"Collins LM","year":"2010"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26633-6_12"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11121-011-0201-1"},{"key":"e_1_2_9_9_1","unstructured":"MagidsonJ VermuntJK.Latent class models for clustering. 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