{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T21:11:47Z","timestamp":1783977107781,"version":"3.55.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T00:00:00Z","timestamp":1581379200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T00:00:00Z","timestamp":1581379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100005875","name":"Kulttuurin ja Yhteiskunnan Tutkimuksen Toimikunta","doi-asserted-by":"publisher","award":["310591"],"award-info":[{"award-number":["310591"]}],"id":[{"id":"10.13039\/501100005875","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc Psychiatry Psychiatr Epidemiol"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n<jats:title>Purpose<\/jats:title>\n<jats:p>Putative causal relations among depressive symptoms in forms of network structures have been of recent interest, with prior studies suggesting that high connectivity of the symptom network may drive the disease process. We examined in detail the network structure of depressive symptoms among participants with and without depressive disorders (DD; consisting of major depressive disorder (MDD) and dysthymia) at two time points.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Methods<\/jats:title>\n<jats:p>Participants were from the nationally representative Health 2000 and Health 2011 surveys. In 2000 and 2011, there were 5998 healthy participants (DD\u2212) and 595 participants with DD diagnosis (DD+). Depressive symptoms were measured using the 13-item version of the Beck Depression Inventory (BDI). Fused Graphical Lasso was used to estimate network structures, and mixed graphical models were used to assess network connectivity and symptom centrality. Network community structure was examined using the walktrap-algorithm and minimum spanning trees (MST). Symptom centrality was evaluated with expected influence and participation coefficients.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>Overall connectivity did not differ between networks from participants with and without DD, but more simple community structure was observed among those\nwith DD compared to those without DD. Exploratory analyses revealed small differences between the samples in the order of one centrality estimate participation coefficient.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Conclusions<\/jats:title>\n<jats:p>Community structure, but not overall connectivity of the symptom network, may be different for people with DD compared to people without DD. This difference may be of importance when estimating the overall connectivity differences between groups with and without mental disorders.<\/jats:p>\n<\/jats:sec>","DOI":"10.1007\/s00127-020-01843-7","type":"journal-article","created":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T11:03:01Z","timestamp":1581418981000},"page":"1273-1282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Network structure of depression symptomology in participants with and without depressive disorder: the population-based Health 2000\u20132011 study"],"prefix":"10.1007","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8629-9960","authenticated-orcid":false,"given":"Christian","family":"Hakulinen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eiko I.","family":"Fried","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Pulkki-R\u00e5back","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marianna","family":"Virtanen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaana","family":"Suvisaari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marko","family":"Elovainio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,2,11]]},"reference":[{"issue":"24","key":"1843_CR1","doi-asserted-by":"publisher","first-page":"2529","DOI":"10.1001\/jama.2018.17824","volume":"320","author":"P Cuijpers","year":"2018","unstructured":"Cuijpers P (2018) The challenges of improving treatments for depression. JAMA 320(24):2529\u20132530. https:\/\/doi.org\/10.1001\/jama.2018.17824","journal-title":"JAMA"},{"issue":"1","key":"1843_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0165-0327(99)00132-9","volume":"59","author":"L Chen","year":"2000","unstructured":"Chen L, Eaton WW, Gallo JJ, Nestadt G (2000) Understanding the heterogeneity of depression through the triad of symptoms, course and risk factors: a longitudinal, population-based study. J Affect Disord 59(1):1\u201311","journal-title":"J Affect Disord"},{"key":"1843_CR3","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.jad.2014.10.010","volume":"172","author":"EI Fried","year":"2015","unstructured":"Fried EI, Nesse RM (2015) Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR*D study. J Affect Disord 172:96\u2013102. https:\/\/doi.org\/10.1016\/j.jad.2014.10.010","journal-title":"J Affect Disord"},{"issue":"11","key":"1843_CR4","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1037\/pas0000275","volume":"28","author":"EI Fried","year":"2016","unstructured":"Fried EI, van Borkulo CD, Epskamp S, Schoevers RA, Tuerlinckx F, Borsboom D (2016) Measuring depression over time \u2026 Or not? Lack of unidimensionality and longitudinal measurement invariance in four common rating scales of depression. Psychol Assess 28(11):1354\u20131367. https:\/\/doi.org\/10.1037\/pas0000275","journal-title":"Psychol Assess"},{"issue":"10","key":"1843_CR5","doi-asserted-by":"publisher","first-page":"2067","DOI":"10.1017\/S0033291713002900","volume":"44","author":"EI Fried","year":"2014","unstructured":"Fried EI, Nesse RM, Zivin K, Guille C, Sen S (2014) Depression is more than the sum score of its parts: individual DSM symptoms have different risk factors. Psychol Med 44(10):2067\u20132076. https:\/\/doi.org\/10.1017\/S0033291713002900","journal-title":"Psychol Med"},{"issue":"10","key":"1843_CR6","doi-asserted-by":"publisher","first-page":"1679","DOI":"10.1017\/S0033291709992157","volume":"40","author":"V Lux","year":"2010","unstructured":"Lux V, Kendler KS (2010) Deconstructing major depression: a validation study of the DSM-IV symptomatic criteria. Psychol Med 40(10):1679\u20131690. https:\/\/doi.org\/10.1017\/S0033291709992157","journal-title":"Psychol Med"},{"key":"1843_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1002\/wps.20375","volume":"16","author":"D Borsboom","year":"2017","unstructured":"Borsboom D (2017) A network theory of mental disorders. World Psychiatry 16:5\u201313. https:\/\/doi.org\/10.1002\/wps.20375","journal-title":"World Psychiatry"},{"issue":"12","key":"1843_CR8","doi-asserted-by":"publisher","first-page":"e0167490","DOI":"10.1371\/journal.pone.0167490","volume":"11","author":"AO Cramer","year":"2016","unstructured":"Cramer AO, van Borkulo CD, Giltay EJ, van der Maas HL, Kendler KS, Scheffer M, Borsboom D (2016) Major depression as a complex dynamic system. PLoS ONE 11(12):e0167490. https:\/\/doi.org\/10.1371\/journal.pone.0167490","journal-title":"PLoS ONE"},{"issue":"2","key":"1843_CR9","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1017\/S1352465809990580","volume":"38","author":"S Moorey","year":"2010","unstructured":"Moorey S (2010) The six cycles maintenance model: growing a \"vicious flower\" for depression. Behav Cogn Psychother 38(2):173\u2013184. https:\/\/doi.org\/10.1017\/S1352465809990580","journal-title":"Behav Cogn Psychother"},{"issue":"3","key":"1843_CR10","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1159\/000442001","volume":"85","author":"L Boschloo","year":"2016","unstructured":"Boschloo L, van Borkulo CD, Borsboom D, Schoevers RA (2016) A prospective study on how symptoms in a network predict the onset of depression. Psychother Psychosom 85(3):183\u2013184. https:\/\/doi.org\/10.1159\/000442001","journal-title":"Psychother Psychosom"},{"issue":"4","key":"1843_CR11","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1017\/S0033291714001809","volume":"45","author":"LF Bringmann","year":"2015","unstructured":"Bringmann LF, Lemmens LH, Huibers MJ, Borsboom D, Tuerlinckx F (2015) Revealing the dynamic network structure of the Beck Depression Inventory-II. Psychol Med 45(4):747\u2013757. https:\/\/doi.org\/10.1017\/S0033291714001809","journal-title":"Psychol Med"},{"key":"1843_CR12","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.jad.2015.09.005","volume":"189","author":"EI Fried","year":"2016","unstructured":"Fried EI, Epskamp S, Nesse RM, Tuerlinckx F, Borsboom D (2016) What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. J Affect Disord 189:314\u2013320. https:\/\/doi.org\/10.1016\/j.jad.2015.09.005","journal-title":"J Affect Disord"},{"issue":"12","key":"1843_CR13","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1001\/jamapsychiatry.2015.2079","volume":"72","author":"C van Borkulo","year":"2015","unstructured":"van Borkulo C, Boschloo L, Borsboom D, Penninx BWJH, Waldorp LJ, Schoevers RA (2015) Association of symptom network structure with the course of depression. JAMA Psychiatry 72(12):1219\u20131226. https:\/\/doi.org\/10.1001\/jamapsychiatry.2015.2079","journal-title":"JAMA Psychiatry"},{"issue":"1","key":"1843_CR14","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1001\/jamapsychiatry.2017.3561","volume":"75","author":"L Schweren","year":"2018","unstructured":"Schweren L, van Borkulo CD, Fried E, Goodyer IM (2018) Assessment of symptom network density as a prognostic marker of treatment response in adolescent depression. JAMA Psychiatry 75(1):98\u2013100. https:\/\/doi.org\/10.1001\/jamapsychiatry.2017.3561","journal-title":"JAMA Psychiatry"},{"key":"1843_CR15","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.jad.2017.10.038","volume":"227","author":"HM van Loo","year":"2018","unstructured":"van Loo HM, Van Borkulo CD, Peterson RE, Fried EI, Aggen SH, Borsboom D, Kendler KS (2018) Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk. J Affect Disord 227:313\u2013322. https:\/\/doi.org\/10.1016\/j.jad.2017.10.038","journal-title":"J Affect Disord"},{"key":"1843_CR16","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.jad.2017.11.032","volume":"227","author":"KS Kendler","year":"2018","unstructured":"Kendler KS, Aggen SH, Flint J, Borsboom D, Fried EI (2018) The centrality of DSM and non-DSM depressive symptoms in Han Chinese women with major depression. J Affect Disord 227:739\u2013744. https:\/\/doi.org\/10.1016\/j.jad.2017.11.032","journal-title":"J Affect Disord"},{"key":"1843_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.janxdis.2017.09.008","volume":"53","author":"PJ Jones","year":"2018","unstructured":"Jones PJ, Mair P, Riemann BC, Mugno BL, McNally RJ (2018) A network perspective on comorbid depression in adolescents with obsessive-compulsive disorder. J Anxiety Disord 53:1\u20138. https:\/\/doi.org\/10.1016\/j.janxdis.2017.09.008","journal-title":"J Anxiety Disord"},{"issue":"4","key":"1843_CR18","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1080\/15374416.2018.1437735","volume":"48","author":"MC Mullarkey","year":"2019","unstructured":"Mullarkey MC, Marchetti I, Beevers CG (2019) Using network analysis to identify central symptoms of adolescent depression. J Clin Child Adolesc Psychol 48(4):656\u2013668. https:\/\/doi.org\/10.1080\/15374416.2018.1437735","journal-title":"J Clin Child Adolesc Psychol"},{"issue":"11","key":"1843_CR19","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1073\/pnas.0400087101","volume":"101","author":"A Barrat","year":"2004","unstructured":"Barrat A, Barthelemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci USA 101(11):3747\u20133752. https:\/\/doi.org\/10.1073\/pnas.0400087101","journal-title":"Proc Natl Acad Sci USA"},{"issue":"8","key":"1843_CR20","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1037\/abn0000446","volume":"128","author":"LF Bringmann","year":"2019","unstructured":"Bringmann LF, Elmer T, Epskamp S, Krause RW, Schoch D, Wichers M, Wigman JTW, Snippe E (2019) What do centrality measures measure in psychological networks? J Abnorm Psychol 128(8):892\u2013903. https:\/\/doi.org\/10.1037\/abn0000446","journal-title":"J Abnorm Psychol"},{"issue":"6","key":"1843_CR21","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1037\/abn0000181","volume":"125","author":"DJ Robinaugh","year":"2016","unstructured":"Robinaugh DJ, Millner AJ, McNally RJ (2016) Identifying highly influential nodes in the complicated grief network. J Abnorm Psychol 125(6):747\u2013757. https:\/\/doi.org\/10.1037\/abn0000181","journal-title":"J Abnorm Psychol"},{"key":"1843_CR22","doi-asserted-by":"publisher","first-page":"34175","DOI":"10.1038\/srep34175","volume":"6","author":"J Kruis","year":"2016","unstructured":"Kruis J, Maris G (2016) Three representations of the Ising model. Sci Rep 6:34175. https:\/\/doi.org\/10.1038\/srep34175","journal-title":"Sci Rep"},{"key":"1843_CR23","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2018.01742","author":"PJ Jones","year":"2018","unstructured":"Jones PJ, Mair P, McNally RJ (2018) Visualizing psychological networks: a tutorial in R. Front Psychol. https:\/\/doi.org\/10.3389\/fpsyg.2018.01742","journal-title":"Front Psychol"},{"issue":"6","key":"1843_CR24","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s00127-018-1506-1","volume":"53","author":"FM Bos","year":"2018","unstructured":"Bos FM, Fried EI, Hollon SD, Bringmann LF, Dimidjian S, DeRubeis RJ, Bockting CLH (2018) Cross-sectional networks of depressive symptoms before and after antidepressant medication treatment. Soc Psychiatry Psychiatr Epidemiol 53(6):617\u2013627. https:\/\/doi.org\/10.1007\/s00127-018-1506-1","journal-title":"Soc Psychiatry Psychiatr Epidemiol"},{"key":"1843_CR25","unstructured":"Heistaro S (2008) Methodology report. Health 2000 survey. In: N. P. H. Institute (ed) Publications of the National Public Health Institute, KTL. The National Public Health Institute, Helsinki"},{"key":"1843_CR26","volume-title":"Terveys, toimintakyky ja hyvinvointi Suomessa 2011","author":"S Koskinen","year":"2011","unstructured":"Koskinen S, Lundqvist A, Ristiluoma N (2011) Terveys, toimintakyky ja hyvinvointi Suomessa 2011. THL, Tampere"},{"key":"1843_CR27","unstructured":"Wittchen H-U, Pfister H (1997) DIA-X-Interviews: manual fur screening-verfahren und Interview; Interviewheft Langsschnittuntersuchung (DIA-X-Lifetime); Erganzungsheft (DIAX-Lifetime); Interviewheft Querschnittuntersuchung (DIA-X-12 Monate); Erganzungsheft (DIA-X-12 Monate); PC-Programm zur Durchfuhrung des Interviews (Langs- und Querschnittuntersuchung); Auswertungsprogramm. Swets and Zeitlinger, Frankfurt"},{"issue":"11","key":"1843_CR28","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1007\/s001270050095","volume":"33","author":"HU Wittchen","year":"1998","unstructured":"Wittchen HU, Lachner G, Wunderlich U, Pfister H (1998) Test-retest reliability of the computerized DSM-IV version of the Munich-composite international diagnostic interview (M-CIDI). Soc Psychiatry Psychiatr Epidemiol 33(11):568\u2013578","journal-title":"Soc Psychiatry Psychiatr Epidemiol"},{"key":"1843_CR29","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1192\/bjp.159.5.645","volume":"159","author":"HU Wittchen","year":"1991","unstructured":"Wittchen HU, Robins LN, Cottler LB, Sartorius N, Burke JD, Regier D (1991) Cross-cultural feasibility, reliability and sources of variance of the Composite International Diagnostic Interview (CIDI). The Multicentre WHO\/ADAMHA Field Trials. Br J Psychiatry 159:645\u2013653","journal-title":"Br J Psychiatry"},{"issue":"1","key":"1843_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00127-005-0848-7","volume":"40","author":"SP Pirkola","year":"2005","unstructured":"Pirkola SP, Isometsa E, Suvisaari J, Aro H, Joukamaa M, Poikolainen K, Koskinen S, Aromaa A, Lonnqvist JK (2005) DSM-IV mood-, anxiety- and alcohol use disorders and their comorbidity in the Finnish general population\u2014results from the Health 2000 Study. Soc Psychiatry Psychiatr Epidemiol 40(1):1\u201310. https:\/\/doi.org\/10.1007\/s00127-005-0848-7","journal-title":"Soc Psychiatry Psychiatr Epidemiol"},{"key":"1843_CR31","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1001\/archpsyc.1961.01710120031004","volume":"4","author":"AT Beck","year":"1961","unstructured":"Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J (1961) An inventory for measuring depression. Arch Gen Psychiatry 4:561\u2013571","journal-title":"Arch Gen Psychiatry"},{"key":"1843_CR32","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1080\/00325481.1972.11713319","volume":"52","author":"A Beck","year":"1972","unstructured":"Beck A, Beck R (1972) Screening depressed patients in family practice. A rapid technic. Postgrad Med 52:81\u201385","journal-title":"Postgrad Med"},{"issue":"4","key":"1843_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v048.i04","volume":"48","author":"S Epskamp","year":"2012","unstructured":"Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D (2012) qgraph: network visualizations of relationships in psychometric data. J Stat Softw 48(4):1\u201318","journal-title":"J Stat Softw"},{"key":"1843_CR34","unstructured":"Van Borkulo C (2015) Network comparison test: permutation-based test of differences in strength of networks. https:\/\/github.com\/cvborkulo\/NetworkComparisonTest"},{"key":"1843_CR35","doi-asserted-by":"publisher","first-page":"30750","DOI":"10.1038\/srep30750","volume":"6","author":"Z Yang","year":"2016","unstructured":"Yang Z, Algesheimer R, Tessone CJ (2016) A comparative analysis of community detection algorithms on artificial networks. Sci Rep 6:30750. https:\/\/doi.org\/10.1038\/srep30750","journal-title":"Sci Rep"},{"issue":"6","key":"1843_CR36","doi-asserted-by":"publisher","first-page":"e0174035","DOI":"10.1371\/journal.pone.0174035","volume":"12","author":"HF Golino","year":"2017","unstructured":"Golino HF, Epskamp S (2017) Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research. PLoS ONE 12(6):e0174035. https:\/\/doi.org\/10.1371\/journal.pone.0174035","journal-title":"PLoS ONE"},{"issue":"2","key":"1843_CR37","doi-asserted-by":"publisher","first-page":"422","DOI":"10.32614\/RJ-2018-065","volume":"10","author":"AP Christensen","year":"2018","unstructured":"Christensen AP (2018) Network toolbox: methods and measures for brain, cognitive, and psychometric network analysis in R. R J 10(2):422\u2013439","journal-title":"R J"},{"key":"1843_CR38","doi-asserted-by":"publisher","first-page":"46523","DOI":"10.1038\/srep46523","volume":"7","author":"E Snippe","year":"2017","unstructured":"Snippe E, Viechtbauer W, Geschwind N, Klippel A, de Jonge P, Wichers M (2017) The impact of treatments for depression on the dynamic network structure of mental states: two randomized controlled trials. Sci Rep 7:46523. https:\/\/doi.org\/10.1038\/srep46523","journal-title":"Sci Rep"},{"issue":"11","key":"1843_CR39","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1016\/j.euroneuro.2016.09.368","volume":"26","author":"M Madhoo","year":"2016","unstructured":"Madhoo M, Levine SZ (2016) Network analysis of the quick inventory of depressive symptomatology: reanalysis of the STAR*D clinical trial. Eur Neuropsychopharmacol 26(11):1768\u20131774. https:\/\/doi.org\/10.1016\/j.euroneuro.2016.09.368","journal-title":"Eur Neuropsychopharmacol"},{"issue":"10","key":"1843_CR40","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1037\/ccp0000336","volume":"86","author":"TL Rodebaugh","year":"2018","unstructured":"Rodebaugh TL, Tonge NA, Piccirillo ML, Fried E, Horenstein A, Morrison AS, Goldin P, Gross JJ, Lim MH, Fernandez KC, Blanco C, Schneier FR, Bogdan R, Thompson RJ, Heimberg RG (2018) Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder? J Consult Clin Psychol 86(10):831\u2013844. https:\/\/doi.org\/10.1037\/ccp0000336","journal-title":"J Consult Clin Psychol"},{"key":"1843_CR41","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9424605","author":"S Letina","year":"2019","unstructured":"Letina S, Blanken TF, Deserno MK, Borsboom AC (2019) Expanding network analysis tools in psychological networks: minimal spanning trees, participation coefficients, and motif analysis applied to a network of 26 psychological attributes. Complexity. https:\/\/doi.org\/10.1155\/2019\/9424605","journal-title":"Complexity"},{"issue":"7","key":"1843_CR42","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1037\/abn0000306","volume":"126","author":"D Borsboom","year":"2017","unstructured":"Borsboom D, Fried EI, Epskamp S, Waldorp LJ, van Borkulo CD, van der Maas HLJ, Cramer AOJ (2017) False alarm? A comprehensive reanalysis of \"Evidence that psychopathology symptom networks have limited replicability\" by Forbes, Wright, Markon, and Krueger (2017). J Abnorm Psychol 126(7):989\u2013999. https:\/\/doi.org\/10.1037\/abn0000306","journal-title":"J Abnorm Psychol"},{"issue":"1","key":"1843_CR43","doi-asserted-by":"publisher","first-page":"195","DOI":"10.3758\/s13428-017-0862-1","volume":"50","author":"S Epskamp","year":"2018","unstructured":"Epskamp S, Borsboom D, Fried EI (2018) Estimating psychological networks and their accuracy: a tutorial paper. Behav Res Methods 50(1):195\u2013212. https:\/\/doi.org\/10.3758\/s13428-017-0862-1","journal-title":"Behav Res Methods"},{"issue":"1","key":"1843_CR44","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/0022-3956(94)90036-1","volume":"28","author":"HU Wittchen","year":"1994","unstructured":"Wittchen HU (1994) Reliability and validity studies of the WHO\u2014composite international diagnostic interview (CIDI): a critical review. J Psychiatr Res 28(1):57\u201384","journal-title":"J Psychiatr Res"},{"issue":"3","key":"1843_CR45","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1002\/mpr.1478","volume":"24","author":"T Rosenstr\u00f6m","year":"2015","unstructured":"Rosenstr\u00f6m T, Elovainio M, Jokela M, Pirkola S, Koskinen S, Lindfors O, Keltikangas-J\u00e4rvinen L (2015) Concordance between composite international diagnostic interview and self-reports of depressive symptoms: a re-analysis. Int J Methods Psychiatr Res 24(3):213\u2013225. https:\/\/doi.org\/10.1002\/mpr.1478","journal-title":"Int J Methods Psychiatr Res"},{"key":"1843_CR46","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291719003209","author":"J Ron","year":"2019","unstructured":"Ron J, Fried E, Epskamp S (2019) Psychological networks in clinical populations: investigating the consequences of Berkson\u2019s bias. Psychol Med. https:\/\/doi.org\/10.1017\/S0033291719003209","journal-title":"Psychol Med"}],"container-title":["Social Psychiatry and Psychiatric Epidemiology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00127-020-01843-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00127-020-01843-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00127-020-01843-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T06:51:31Z","timestamp":1612939891000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00127-020-01843-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,11]]},"references-count":46,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["1843"],"URL":"https:\/\/doi.org\/10.1007\/s00127-020-01843-7","relation":{},"ISSN":["0933-7954","1433-9285"],"issn-type":[{"value":"0933-7954","type":"print"},{"value":"1433-9285","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,11]]},"assertion":[{"value":"2 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"None declared.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The study was approved by the ethical committee of the Finnish Public Health Institute and the Hospital District of Helsinki and Uusimaa, Finland.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics statement"}}]}}