Non-Suicidal Self-Injury—Does social support make a difference? An epidemiological investigation of a Danish national sample

Christoffersen, Mogens Nygaard; Møhl, Bo; DePanfilis, Diane; Vammen, Katrine Schjødt

doi:10.1016/j.chiabu.2014.10.023

Cited by 62 publications

(56 citation statements)

References 62 publications

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“…Voon et al (2014c) also found life stress to be associated with NSSI through the mediational effect of psychological distress. A fifth study (Christoffersen, Møhl, DePanfilis, & Vammen, 2015) also found cross-sectional support for a mediational model, with reduced social support mediating the relation between traumatic life stress and NSSI. Caution should be taken in interpreting these findings, however, given concerns regarding the validity of cross-sectional tests of mediation (Lindenberger, von Oertzen, Ghisletta, & Hertzog, 2011; Maxwell & Cole, 2007).…”

Section: Resultsmentioning

confidence: 88%

“…As noted above, only two studies to date have examined mediational pathways underlying the relation between life stress and NSSI, both featuring cross-sectional analyses (Christoffersen et al, 2015; Voon et al, 2014c). Future research in this area on mediational relations is important for its potential to identify targets for clinical intervention.…”

Section: Discussionmentioning

confidence: 99%

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Non-suicidal self-injury and life stress: A systematic meta-analysis and theoretical elaboration

Liu

Cheek

Nestor

2016

Clinical Psychology Review

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Recent years have seen a considerable growth of interest in the study of life stress and non-suicidal self-injury (NSSI). The current article presents a systematic review of the empirical literature on this association. In addition to providing a comprehensive meta-analysis, the current article includes a qualitative review of the findings for which there were too few cases (i.e., < 3) for reliable approximations of effect sizes. Across the studies included in the meta-analysis, a significant but modest relation between life stress and NSSI was found (pooled OR = 1.81 [95% CI = 1.49–2.21]). After an adjustment was made for publication bias, the estimated effect size was smaller but still significant (pooled OR = 1.33 [95% CI = 1.08–1.63]). This relation was moderated by sample type, NSSI measure type, and length of period covered by the NSSI measure. The empirical literature is characterized by several methodological limitations, particularly the frequent use of cross-sectional analyses involving temporal overlap between assessments of life stress and NSSI, leaving unclear the precise nature of the relation between these two phenomena (e.g., whether life stress may be a cause, concomitant, or consequence of NSSI). Theoretically informed research utilizing multi-wave designs, assessing life stress and NSSI over relatively brief intervals, and featuring interview-based assessments of these constructs holds promise for advancing our understanding of their relation. The current review concludes with a theoretical elaboration of the association between NSSI and life stress, with the aim of providing a conceptual framework to guide future study in this area.

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Section: Resultsmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Non-suicidal self-injury and life stress: A systematic meta-analysis and theoretical elaboration

Liu

Cheek

Nestor

2016

Clinical Psychology Review

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“…Whereas some scholars (e.g., Christoffersen, Møhl, DePanfilis, & Vammen, 2015;Heilbron & Prinstein, 2010;Sornberger et al, 2012;Zetterqvist et al, 2014) have found prevalence rates of NSSI to be higher among adolescent females than their male counterparts, others (e.g., Heath et al, 2008;Hilt, Nock, Lloyd-Richardson, & Prinstein, 2008;Lloyd-Richardson, Perrine, Dierker, & Kelley, 2007;Muehlenkamp & Gutierrez, 2004) failed to find any significant association between gender and NSSI. Sornberger et al (2012) found that one in three adolescent females compared to one in six adolescent males Baiden et al Child Abuse & Neglect xxx (2017) xxx-xxx Table 3 Bivariate association between NSSI and predictors (N = 2038).…”

Section: Discussionmentioning

confidence: 99%

“…Research has consistently identified the importance of social support and having a confidant as protective factors against NSSI (Claes, Bouman et al, 2015;Christoffersen et al, 2015;Heath, Baxter, Toste, & McLouth, 2010). Tseng and Yang (2015) found an inverse association between family support and NSSI for both boys and girls as well as between family support and thoughts of NSSI in girls.…”

Section: Discussionmentioning

confidence: 99%

The role of adverse childhood experiences as determinants of non-suicidal self-injury among children and adolescents referred to community and inpatient mental health settings

Baiden

Stewart

Fallon

2017

Child Abuse & Neglect

104

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The objectives of this study were to examine the prevalence of, and determine the effect of adverse childhood experiences on non-suicidal self-injury among children and adolescents referred to community and inpatient mental health settings. Data for this study were obtained from the interRAI Child and Youth Mental Health dataset. A total of 2038 children and adolescents aged 8-18 years (M = 12.49; SD = 2.88, 61.1% males) were analyzed. Binary logistic regression was fitted to identify predictors of non-suicidal self-injury as a function of adverse childhood experiences, depression, and social support while simultaneously controlling for age, gender, type of patient, legal guardianship, marital status of parents/caregivers, history of foster family placement, and mental health diagnoses. Of the 2038 children and adolescents examined, 592 (29%) of this clinical sample engaged in non-suicidal self-injury. In the multivariate logistic regression model, children and adolescents who were physically abused had 49% higher odds of engaging in non-suicidal self-injury and children and adolescents who were sexually abused had 60% higher odds of engaging in non-suicidal self-injury, when compared to their non-abused counterparts. Other predictors of non-suicidal self-injury include: older age, female gender, inpatient status, depression, attention deficit-hyperactivity disorder, disruptive behavior disorder, and mood disorders. Children and adolescents who had some form of social support had a 26% decrease in the odds of engaging in non-suicidal self-injury. Assessment procedures for indicators of mental health, particularly among children and adolescents with a history of adverse childhood experiences, should also take into account non-suicidal self-injury. In addition to bolstering social support networks, addressing depression and related emotion regulation skills in childhood may help prevent future non-suicidal self-injury behaviors.

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“…If students have a high accumulation of cognitive social capital, they tend to trust others, and consequently equipped to ask them or affiliated organizations for help, when needed, rather than suffer in silence. Students with a strong social network can feel cared about, loved, respected, and valued (Christoffersen et al, 2014). When in trouble, they therefore can gain support, understanding, and affirmation from their friends, classmates, family, and relatives in order to avoid diminishing their self-worth and committing DSH.…”

Section: Social Capital Uncertainty Stress and Dshmentioning

confidence: 99%

Deliberate self-harm among Chinese medical students: A population-based study

Rockett

Yang

et al. 2016

Journal of Affective Disorders

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Non-Suicidal Self-Injury—Does social support make a difference? An epidemiological investigation of a Danish national sample

Cited by 62 publications

References 62 publications

Non-suicidal self-injury and life stress: A systematic meta-analysis and theoretical elaboration

Non-suicidal self-injury and life stress: A systematic meta-analysis and theoretical elaboration

The role of adverse childhood experiences as determinants of non-suicidal self-injury among children and adolescents referred to community and inpatient mental health settings

Deliberate self-harm among Chinese medical students: A population-based study

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