Suicidal ideation has been linked to a bias toward interpreting ambiguous information in consistently less positive or more negative manners (positive/negative interpretation bias), implying that information-processing biases might distort beliefs thought to inspire suicidal ideation (e.g., those regarding burdensomeness). Therefore, in the present study, we examined whether suicidal ideation and beliefs highlighted in theories of suicide are related to positive/negative interpretation bias and/or a bias against revising negative interpretations in response to evidence against them (negative interpretation inflexibility). Data were collected in three waves, each 1 week apart. Network analyses and structural equation models provided evidence that negative interpretation bias (cross-sectionally) and negative interpretation inflexibility (cross-sectionally and over time) were related to suicidal ideation and that the latter relationship was mediated by perceived burdensomeness. By identifying this mediation pathway in the present study, we provide a potential mechanism by which perceptions of burdensomeness, a key risk factor for suicidality, might arise and/or persist.
AbramsonL. Y.AlloyL. B.HoganM. E.WhitehouseW. G.GibbB. E.HankinB. L.CornetteM. M. (2006). The hopelessness theory of suicidality. In JoinerT.RuddM. D. (Eds.), Suicide science (pp. 17–32). Kluwer Academic Publishers. https://doi.org/10.1007/0-306-47233-3_3
2.
AbramsonL. Y.MetalskyG. I.AlloyL. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96(2), 358–372. https://doi.org/10.1037/0033-295X.96.2.358
3.
AllanN. P.BoffaJ. W.RainesA. M.SchmidtN. B. (2018). Intervention related reductions in perceived burdensomeness mediates incidence of suicidal thoughts. Journal of Affective Disorders, 234, 282–288. https://doi.org/10.1016/j.jad.2018.02.084
4.
AltemeyerB. (2002). Dogmatic behavior among students: Testing a new measure of dogmatism. Journal of Social Psychology, 142(6), 713–721. https://doi.org/10.1080/00224540209603931
5.
BeardC.RifkinL. S.BjörgvinssonT. (2017). Characteristics of interpretation bias and relationship with suicidality in a psychiatric hospital sample. Journal of Affective Disorders, 207, 321–326. https://doi.org/10.1016/j.jad.2016.09.021
6.
BeckA. T.KovacsM.WeissmanA. (1979). Assessment of suicidal intention: The Scale for Suicide Ideation. Journal of Consulting and Clinical Psychology, 47(2), 343–352. https://doi.org/10.1037/0022-006X.47.2.343
7.
BeckA. T.SteerR. A. (1991). Manual for Beck Scale for Suicide Ideation. Psychological Corp.
8.
BeckA. T.SteerR. A.BrownG. K. (1996). Manual for the Beck Depression Inventory-II. Psychological Corp.
9.
BeckA. T.WeissmanA.LesterD.TrexlerL. (1974). The measurement of pessimism: The Hopelessness Scale. Journal of Consulting and Clinical Psychology, 42(6), 861–865. https://doi.org/10.1037/h0037562
10.
BeeversC. G.MillerI. W. (2004). Perfectionism, cognitive bias, and hopelessness as prospective predictors of suicidal ideation. Suicide and Life-Threatening Behavior, 34(2), 126–137.
11.
BentlerP. M.BonettD. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
12.
BlanchetteI.RichardsA. (2010). The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning. Cognition and Emotion, 24(4), 561–595. https://doi.org/10.1080/02699930903132496
13.
Bloch-ElkoubyS.GormanB.SchuckA.BarzilayS.CalatiR.CohenL. J.BegumF.GalynkerI. (2020). The suicide crisis syndrome: A network analysis. Journal of Counseling Psychology, 67(5), 595–607. https://doi.org/10.1037/cou0000423
14.
BronsteinM. V.CannonT. D. (2018). Measuring bias against disconfirmatory evidence: An evaluation of BADE task scoring methods and the case for a novel method. Psychiatry Research, 261, 535–540. https://doi.org/10.1016/j.psychres.2018.01.007
15.
BronsteinM. V.PennycookG.BearA.RandD. G.CannonT. D. (2019). Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of Applied Research in Memory and Cognition, 8(1), 108–117. https://doi.org/10.1016/j.jarmac.2018.09.005
16.
BuitronV.HillR. M.PettitJ. W.GreenK. L.HatkevichC.SharpC. (2016). Interpersonal stress and suicidal ideation in adolescence: An indirect association through perceived burdensomeness toward others. Journal of Affective Disorders, 190, 143–149. https://doi.org/10.1016/j.jad.2015.09.077
17.
BuonocoreM.BosiaM.RiccaboniR.BechiM.SpangaroM.PiantanidaM.CocchiF.GuglielminoC.BianchiL.SmeraldiE.CavallaroR. (2015). Combined neurocognitive and metacognitive rehabilitation in schizophrenia: Effects on bias against disconfirmatory evidence. European Psychiatry, 30(5), 615–621. https://doi.org/10.1016/j.eurpsy.2015.02.006
ChenJ.ChenZ. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95(3), 759–771. https://doi.org/10.1093/biomet/asn034
20.
ChuC.Buchman-SchmittJ. M.StanleyI. H.HomM. A.TuckerR. P.HaganC. R.RogersM. L.PodlogarM. C.ChiurlizaB.RingerF. B.MichaelsM. S.PatrosC. H. G.JoinerT. E.Jr. (2017). The interpersonal theory of suicide: A systematic review and meta-analysis of a decade of cross-national research. Psychological Bulletin, 143(12), 1313–1345. https://doi.org/10.1037/bul0000123
21.
ChuC.WalkerK.StanleyI.HirschJ.GreenbergJ.RuddD.JoinerT. (2018). Perceived problem-solving deficits and suicidal ideation: Evidence for the explanatory roles of thwarted belongingness and perceived burdensomeness in five samples carol. Journal of Personality and Social Psychology, 115(1), 137–160.
CohenS.KamarckT.MermelsteinR. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.
24.
ColeA. B.WingateL. R. R.TuckerR. P.Rhoades-KerswillS.O’KeefeV. M.HollingsworthD. W. (2015). The differential impact of brooding and reflection on the relationship between perceived stress and suicide ideation. Personality and Individual Differences, 83, 170–173. https://doi.org/10.1016/j.paid.2015.04.013
25.
CoxL. A. (2018). Modernizing the Bradford Hill criteria for assessing causal relationships in observational data. Critical Reviews in Toxicology, 48(8), 682–712. https://doi.org/10.1080/10408444.2018.1518404
26.
CukrowiczK. C.JahnD. R.GrahamR. D.PoindexterE. K.WilliamsR. B. (2013). Suicide risk in older adults: Evaluating models of risk and predicting excess zeros in a primary care sample. Journal of Abnormal Psychology, 122(4), 1021–1030. https://doi.org/10.1037/a0034953
27.
DablanderF.HinneM. (2019). Node centrality measures are a poor substitute for causal inference. Scientific Reports, 9(1), Article 6846. https://doi.org/10.1038/s41598-019-43033-9
28.
de BeursD.FriedE. I.WetherallK.CleareS.O’ConnorD. B.FergusonE.O’CarrollR. E.O’ConnorR. C. (2019). Exploring the psychology of suicidal ideation: A theory driven network analysis. Behaviour Research and Therapy, 120, Article 103419. https://doi.org/10.1016/j.brat.2019.103419
29.
de BeursD. P. (2017). Network analysis: A novel approach to understand suicidal behaviour. International Journal of Environmental Research and Public Health, 14(3), Article 219. https://doi.org/10.3390/ijerph14030219
30.
de BeursD. P.FokkemaM.de GrootM. H.de KeijserJ.KerkhofA. (2015). Longitudinal measurement invariance of the Beck Scale for Suicide Ideation. Psychiatry Research, 225(3), 368–373. https://doi.org/10.1016/J.PSYCHRES.2014.11.075
31.
DesseillesM.PerroudN.GuillaumeS.JaussentI.GentyC.MalafosseA.CourtetP. (2012). Is it valid to measure suicidal ideation by depression rating scales?Journal of Affective Disorders, 136, 398–404. https://doi.org/10.1016/j.jad.2011.11.013
32.
DhingraK.KlonskyE. D.TapolaV. (2019). An empirical test of the three-step theory of suicide in U.K. university students. Suicide and Life-Threatening Behavior, 49(2), 478–487. https://doi.org/10.1111/sltb.12437
33.
DozoisD. J. A.DobsonK. S.AhnbergJ. L. (1998). A psychometric evaluation of the Beck Depression Inventory-II. Psychological Assessment, 10(2), 83–89. https://doi.org/10.1037/1040-3590.10.2.83
34.
EconomouM.AngelopoulosE.PeppouL. E.SouliotisK.StefanisC. (2016). Suicidal ideation and suicide attempts in Greece during the economic crisis: An update. World Psychiatry, 15(1), 83–84. https://doi.org/10.1002/wps.20296
35.
ElliottH.JonesP. J.SchmidtU. (2020). Central symptoms predict posttreatment outcomes and clinical impairment in anorexia nervosa: A network analysis. Clinical Psychological Science, 8(1), 139–154. https://doi.org/10.1177/2167702619865958
36.
EndersC. K.BandalosD. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8(3), 430–457. https://doi.org/10.1207/S15328007SEM0803_5
37.
EpskampS. (2020). bootnet: Bootstrap methods for various network estimation routines (Version 1.3) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=bootnet
38.
EpskampS.CostantiniG.HaslbeckJ.IsvoranuA. (2020). qgraph: Graph plotting methods, psychometric data visualization and graphical model estimation (Version 1.6.5) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=qgraph
39.
EpskampS.BorsboomD.FriedE. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1
40.
EveraertJ.BernsteinA.JoormannJ.KosterE. H. W. (2020). Mapping dynamic interactions among cognitive biases in depression. Emotion Review, 12(2), 93–110. https://doi.org/10.1177/1754073919892069
41.
EveraertJ.BronsteinM. V.CannonT. D.JoormannJ. (2018). Looking through tinted glasses: Depression and social anxiety are related to both interpretation biases and inflexible negative interpretations. Clinical Psychological Science, 6(4), 517–528. https://doi.org/10.1177/2167702617747968
42.
EveraertJ.BronsteinM. V.CastroA.CannonT. D.JoormannJ. (2020). When negative interpretations persist, positive emotions don’t! Inflexible negative interpretations encourage depression and social anxiety by dampening positive emotions. Behaviour Research and Therapy, 124, Article 103510. https://doi.org/10.1016/j.brat.2019.103510
43.
EveraertJ.PodinaI. R.KosterE. H. W. (2017). A comprehensive meta-analysis of interpretation biases in depression. Clinical Psychology Review, 58, 33–48. https://doi.org/10.1016/j.cpr.2017.09.005
44.
ForkmannT.TeismannT.StenzelJ.-S.GlaesmerH.De BeursD. (2018). Defeat and entrapment: More than meets the eye? Applying network analysis to estimate dimensions of highly correlated constructs. BMC Medical Research Methodology, 18, Article 16. https://doi.org/10.1186/s12874-018-0470-5
45.
FoygelR.DrtonM. (2010). Extended Bayesian information criteria for Gaussian graphical models. In LaffertyJ.WilliamsC.Shawe-TaylorJ.ZemelR.CulottaA.Advances in neural information processing systems 23 (NIPS 2010) (pp. 604–612). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2010/file/072b030ba126b2f4b2374f342be9ed44-Paper.pdf
46.
Foygel BarberR.DrtonM. (2015). High-dimensional Ising model selection with Bayesian information criteria. Electronic Journal of Statistics, 9, 567–607. https://doi.org/10.1214/15-EJS1012
47.
FranklinJ. C.RibeiroJ. D.FoxK. R.BentleyK. H.KleimanE. M.HuangX.MusacchioK. M.JaroszewskiA. C.ChangB. P.NockM. K. (2017). Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychological Bulletin, 143(2), 187–232. https://doi.org/10.1037/bul0000084
48.
FriedE. I.EidhofM.PalicS.CostantiniG.Huisman-van DijkH.BocktingC.EngelhardI.ArmourC.NielsenA.KarstoftK. I. (2018). Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clinical Psychological Science, 6(3), 335–351. https://doi.org/10.1177/2167702617745092
49.
FullerW. A. (1991). Simple estimators for the mean of skewed populations. Statistica Sinica, 1(1), 137–158.
50.
GreeneW. H. (2012). Econometric analysis (71st ed.). Stern School of Business, New York University.
51.
GriffithsA. W.WoodA. M.MaltbyJ.TaylorP. J.PanagiotiM.TaiS. (2015). The development of the Short Defeat and Entrapment Scale (SDES). Psychological Assessment, 27(4), 1182–1194. https://doi.org/10.1037/pas0000110
HaslbeckJ. M. B. (2019). mgm: Estimating time-varying k-order mixed graphical models (Version 1.2.7) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=mgm
54.
HaslbeckJ. M. B.FriedE. I. (2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16), 2767–2776. https://doi.org/10.1017/S0033291717001258
55.
HefferT.WilloughbyT. (2017). A count of coping strategies: A longitudinal study investigating an alternative method to understanding coping and adjustment. PLOS ONE, 12(10), Article e0186057. https://doi.org/10.1371/journal.pone.0186057
56.
HenrikssonM. M.AroH. M.MarttunenM. J.HeikkinenM. E.IsometsaE. T.KuoppasalmiK. I.LonnqvistJ. K. (1993). Mental disorders and comorbidity in suicide. American Journal of Psychiatry, 150(6), 935–940. https://doi.org/10.1176/ajp.150.6.935
57.
HoldenR. R.MehtaK.CunninghamE. J.McLeodL. D. (2001). Development and preliminary validation of a Scale of Psychache. Canadian Journal of Behavioural Science, 33(4), 224–232. https://doi.org/10.1037/h0087144
58.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
59.
HubertM.Van Der VeekenS. (2008). Outlier detection for skewed data. Journal of Chemometrics, 22(3–4), 235–246. https://doi.org/10.1002/cem.1123
JoinerT. E. (2005). Why people die by suicide. Harvard University Press.
64.
JonesP. (2020). networktools: Tools for identifying important nodes in networks (Version 1.2.2) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=networktools
65.
JorgensenT. D.PornprasertmanitS.SchoemannA. M.RosseelY. (2019). semTools: Useful tools for structural equation modeling (Version 0.5.2) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=semTools
66.
Jyunn LaiY.Chi TanH.Ting WangC.Chi WuW.Yi WangL.Chih ShenY. (2018). Difference in cognitive flexibility between passive and active suicidal ideation in patients with depression. Neuropsychiatry, 8(4), 1182–1185. https://doi.org/10.4172/neuropsychiatry.1000446
67.
KaliuzhnaM.ChambonV.FranckN.TestudB.van der HenstJ. B. (2012). Belief revision and delusions: How do patients with schizophrenia take advice?PLOS ONE, 7(4), Article e34771. https://doi.org/10.1371/journal.pone.0034771
68.
KaplanJ. T.GimbelS. I.HarrisS. (2016). Neural correlates of maintaining one’s political beliefs in the face of counterevidence. Scientific Reports, 6, 1–11. https://doi.org/10.1038/srep39589
69.
KirtleyO. J.MelsonA. J.O’ConnorR. C. (2018). Future-oriented constructs and their role in suicidal ideation and enactment. In HirschJ.Chang.E.Kelliher RabonJ. (Eds.), A positive psychological approach to suicide. Advances in mental health and addiction (pp. 17–36). Springer. https://doi.org/10.1007/978-3-030-03225-8_2
70.
KleimanE. M.LawK. C.AnestisM. D. (2014). Do theories of suicide play well together? Integrating components of the hopelessness and interpersonal psychological theories of suicide. Comprehensive Psychiatry, 55(3), 431–438. https://doi.org/10.1016/j.comppsych.2013.10.015
71.
KliemS.LohmannA.MößleT.BrählerE. (2017). German Beck Scale for Suicide Ideation (BSS): Psychometric properties from a representative population survey. BMC Psychiatry, 17(1), Article 389. https://doi.org/10.1186/s12888-017-1559-9
72.
KlonskyE. D.MayA. M. (2015). The Three-Step Theory (3ST): A new theory of suicide rooted in the “Ideation-to-Action” Framework. International Journal of Cognitive Therapy, 8(2), 114–129.
73.
KocaleventR. D.FinckC.Pérez-TrujilloM.SautierL.ZillJ.HinzA. (2017). Standardization of the Beck Hopelessness Scale in the general population. Journal of Mental Health, 26(6), 516–522. https://doi.org/10.1080/09638237.2016.1244717
74.
KrajniakM.MirandaR.WheelerA. (2013). Rumination and pessimistic certainty as mediators of the relation between lifetime suicide attempt history and future suicidal ideation. Archives of Suicide Research, 17(3), 196–211. https://doi.org/10.1080/13811118.2013.805638
75.
LervågA. (2019). Editorial: Correlation and causation: To study causality in psychopathology. Journal of Child Psychology and Psychiatry, 60(6), 603–605. https://doi.org/10.1111/jcpp.13074
76.
LiuX.KakadeM.FullerC. J.FangY.KongJ.GuanZ.WuP. (2012). Depression after exposure to stressful events: Lessons learned from the severe acute respiratory syndrome epidemic. Comprehensive Psychiatry, 53(1), 15–23. https://doi.org/10.1016/j.comppsych.2011.02.003
77.
MaJ.BatterhamP. J.CalearA. L.HanJ. (2016). A systematic review of the predictions of the Interpersonal-Psychological Theory of Suicidal Behavior. Clinical Psychology Review, 46, 34–45. https://doi.org/10.1016/j.cpr.2016.04.008
78.
MacKinnonD. P.LockwoodC. M.HoffmanJ. M.WestS. G.SheetsV. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83–104. https://doi.org/10.1037/1082-989X.7.1.83
79.
MandracchiaJ. T.SunderlandM. N.ToY. M. (2019). Evaluating the role of interpersonal hopelessness in the interpersonal theory of suicide. Death Studies. Advance online publication. https://doi.org/10.1080/07481187.2019.1671549
80.
MarchettiI. (2020). Hopelessness: A network analysis. Cognitive Therapy and Research, 43(3), 611–619.
81.
McDonaldR. (1999). Test theory: A unified treatment. Erlbaum.
82.
MeierM.KossakowskiJ. J.JonesP. J.KayB.RiemannB. C.McNallyR. J. (2019). Obsessive–compulsive symptoms in eating disorders: A network investigation. International Journal of Eating Disorders, 53(3), 362–371. https://doi.org/10.1002/eat.23196
MirandaR.GallagherM.BauchnerB.VaysmanR.MarroquínB. (2012). Cognitive inflexibility as a prospective predictor of suicidal ideation among young adults with a suicide attempt history. Depression and Anxiety, 29(3), 180–186. https://doi.org/10.1002/da.20915
85.
MirandaR.MenninD. S. (2007). Depression, generalized anxiety disorder, and certainty in pessimistic predictions about the future. Cognitive Therapy and Research, 31(1), 71–82. https://doi.org/10.1007/s10608-006-9063-4
86.
MirandaR.ValderramaJ.TsypesA.GadolE.GallagherM. (2013). Cognitive inflexibility and suicidal ideation: Mediating role of brooding and hopelessness. Psychiatry Research, 210(1), 174–181. https://doi.org/10.1016/j.psychres.2013.02.033
87.
MirandaR.WheelerA.Polanco-RomanL.MarroquínB. (2017). The Future-Oriented Repetitive Thought (FoRT) Scale: A measure of repetitive thinking about the future. Journal of Affective Disorders, 207, 336–345. https://doi.org/10.1016/j.jad.2016.09.055
88.
MonteithL. L.BahrainiN. H.MenefeeD. S. (2017). Perceived burdensomeness, thwarted belongingness, and fearlessness about death: Associations with suicidal ideation among female veterans exposed to military sexual trauma. Journal of Clinical Psychology, 73(12), 1655–1669. https://doi.org/10.1002/jclp.22462
89.
MonteithL. L.HollidayR.SchneiderA. L.ForsterJ. E.BahrainiN. H. (2019). Identifying factors associated with suicidal ideation and suicide attempts following military sexual trauma. Journal of Affective Disorders, 252, 300–309. https://doi.org/10.1016/j.jad.2019.04.038
90.
MoritzS.AndreouC.SchneiderB. C.WittekindC. E.MenonM.BalzanR. P.WoodwardT. S. (2014). Sowing the seeds of doubt: A narrative review on metacognitive training in schizophrenia. Clinical Psychology Review, 34(4), 358–366. https://doi.org/10.1016/j.cpr.2014.04.004
91.
NickersonR. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220. https://doi.org/10.1214/aos/1031594735
92.
O’ConnorD. B.GreenJ. A.FergusonE.O’CarrollR. E.O’ConnorR. C. (2017). Cortisol reactivity and suicidal behavior: Investigating the role of hypothalamic-pituitary-adrenal axis responses to stress in suicide attempters and ideators. Psychoneuroendocrinology, 75, 183–191. https://doi.org/10.1016/j.psyneuen.2016.10.019
O’ConnorR. C.CleareS.EschleS.WetherallK.KirtleyO. J. (2016). The integrated motivational-volitional model of suicidal behavior: An update. In O’ConnorR. C.PirkisJ. (Eds.), The international handbook of suicide prevention (2nd ed., pp. 220–240). Wiley Blackwell. https://doi.org/10.1002/9781118903223.ch13
95.
O’ConnorR. C.KirtleyO. J. (2018). The integrated motivational-volitional model of suicidal behaviour. Philosophical Transactions of the Royal Society B: Biological Sciences, 373, Article 20170268. https://doi.org/10.1098/rstb.2017.0268
96.
O’ConnorR. C.PortzkyG. (2018). The relationship between entrapment and suicidal behavior through the lens of the integrated motivational–volitional model of suicidal behavior. Current Opinion in Psychology, 22, 12–17. https://doi.org/10.1016/j.copsyc.2017.07.021
97.
OphirY.SissoI.AsterhanC. S. C.TikochinskiR.ReichartR. (2018). The Turker Blues: Hidden factors behind increased depression rates among Amazon’s Mechanical Turkers. Clinical Psychological Science, 8(1), 65–83. https://doi.org/10.1177/2167702619865973
R Core Team. (2019). R: A language and environment for statistical computing (Version 3.6.1) [Computer software]. R Foundation for Statistical Computing. http://www.R-project.org
100.
RipleyB. (2020). MASS: Support functions and datasets for Venables and Ripley’s MASS (Version 7.3-51.6) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=MASS
101.
RobertiJ. W.HarringtonL. N.StorchE. A. (2006). Further psychometric support for the 10-item version of the Perceived Stress Scale. Journal of College Counseling, 9(2), 135–147. https://doi.org/10.1002/j.2161-1882.2006.tb00100.x
102.
RobinaughD. J.MillnerA. J.McNallyR. J. (2016). Identifying highly influential nodes in the complicated grief network. Journal of Abnormal Psychology, 125(6), 747–757. https://doi.org/10.1037/abn0000181
103.
RogersM. L.JoinerT. E. (2017). Rumination, suicidal ideation, and suicide attempts: A meta-analytic review. Review of General Psychology, 21(2), 132–142. https://doi.org/10.1037/gpr0000101
SanfordN.VeckenstedtR.MoritzS.BalzanR. P.WoodwardT. S. (2014). Impaired integration of disambiguating evidence in delusional schizophrenia patients. Psychological Medicine, 44(13), 2729–2738. https://doi.org/10.1017/S0033291714000397
106.
SargalskaJ.MirandaR.MarroquínB. (2011). Being certain about an absence of the positive: Specificity in relation to hopelessness and suicidal ideation. International Journal of Cognitive Therapy, 4(1), 104–116. https://doi.org/10.1521/ijct.2011.4.1.104
107.
ShahnazA.SafferB. Y.KlonskyE. D. (2018). The relationship of perfectionism to suicide ideation and attempts in a large online sample. Personality and Individual Differences, 130, 117–121. https://doi.org/10.1016/J.PAID.2018.04.002
108.
ShneidmanE. S. (1993). Suicide as psychache: A clinical approach to self-destructive behavior. Aronson.
109.
SturmanE. D. (2011). Involuntary subordination and its relation to personality, mood, and submissive behavior. Psychological Assessment, 23(1), 262–276. https://doi.org/10.1037/a0021499
110.
SutterM.PerrinP. B. (2016). Discrimination, mental health, and suicidal ideation among LGBTQ people of color. Journal of Counseling Psychology, 63(1), 98–105. https://doi.org/10.1037/cou0000126
111.
TaylorP. J.WoodA. M.GoodingP.JohnsonJ.TarrierN. (2009). Are defeat and entrapment best defined as a single construct?Personality and Individual Differences, 47(7), 795–797. https://doi.org/10.1016/j.paid.2009.06.011
112.
TerluinB.De BoerM. R.De VetH. C. W. (2016). Differences in connection strength between mental symptoms might be explained by differences in variance: Reanalysis of network data did not confirm staging. PLOS ONE, 11(11), Article e0155205. https://doi.org/10.1371/journal.pone.0155205
113.
TibshiraniR. (2016). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), 58(1), 267–288.
114.
Van OrdenK. A.CukrowiczK. C.WitteT. K.JoinerT. E. (2012). Thwarted belongingness and perceived burdensomeness: Construct validity and psychometric properties of the Interpersonal Needs Questionnaire. Psychological Assessment, 24(1), 197–215. https://doi.org/10.1037/a0025358
115.
Van OrdenK. A.WitteT. K.CukrowiczK. C.BraithwaiteS. R.SelbyE. A.JoinerT. E. (2010). The interpersonal theory of suicide. Psychological Review, 117(2), 575–600. https://doi.org/10.1037/a0018697
116.
Van SpijkerB. A. J.BatterhamP. J.CalearA. L.FarrerL.ChristensenH.ReynoldsJ.KerkhofA. J. F. M. (2014). The Suicidal Ideation Attributes Scale (SIDAS): Community-based validation study of a new scale for the measurement of suicidal ideation. Suicide and Life-Threatening Behavior, 44(4), 408–419. https://doi.org/10.1111/sltb.12084
117.
VerrocchioM. C.CarrozzinoD.MarchettiD.AndreassonK.FulcheriM.BechP. (2016). Mental pain and suicide: A systematic review of the literature. Frontiers in Psychiatry, 7, Article 108. https://doi.org/10.3389/fpsyt.2016.00108
118.
VuongQ. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57(2), 307–333.
119.
VuorilehtoM.ValtonenH. M.MelartinT.SokeroP.SuominenK.IsometsäE. T. (2014). Method of assessment determines prevalence of suicidal ideation among patients with depression. European Psychiatry, 29(6), 338–344. https://doi.org/10.1016/j.eurpsy.2013.08.005
120.
WangY.-Y.JiangN.-Z.CheungE. F. C.SunH.-W.ChanR. C. K. (2015). Role of depression severity and impulsivity in the relationship between hopelessness and suicidal ideation in patients with major depressive disorder. Journal of Affective Disorders, 183, 83–89. https://doi.org/10.1016/j.jad.2015.05.001
121.
WardT.PetersE.JacksonM.DayF.GaretyP. A. (2018). Data-gathering, belief flexibility, and reasoning across the psychosis continuum. Schizophrenia Bulletin, 44(1), 126–136. https://doi.org/10.1093/schbul/sbx029
122.
WiblinJ.HolderN.HollidayR.SurísA. (2021). Predictors of unbearability, unlovability, and unsolvability in veterans with military-sexual-trauma-related posttraumatic stress disorder. Journal of Interpersonal Violence, 36(7–8), 3814–3830. https://doi.org/10.1177/0886260518777554
ZhaoX.LynchJ. G.ChenQ. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257
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