The aim of this study was to examine the latent clusters in non-suicidal self-injury (NSSI) based on childhood adversity. Data were derived from Waves I (2001–2002) and II (2004–2005) of the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative sample of U.S. adults. Individuals engaging in NSSI (N = 672) comprised the analytic sample. Latent class statistical analysis was undertaken to elucidate the latent structure of NSSI based on child experiences of physical and sexual abuse, neglect, and family violence. Four-classes of respondents were identified vis-à-vis childhood adversities. A low abuse/neglect class (35.7 % of respondents, 91.1 % male) demonstrated less mental health and substance use comorbidity and antisocial behavior. A sexual abuse class (43.1 % of respondents, 98.6 % female) evinced somewhat lower levels of antisocial behavior than the other classes but similarly high levels of mental health disorder and a non-sexual abuse/neglect class (8.3 % of respondents, 91.5 % male) characterized by varied and intensive forms of antisocial and externalizing behaviors. Finally, a severe high abuse/neglect/family violence class (12.95 % of respondents, 100 % female) demonstrated high levels of clinical psychiatric and personality disorders. The current project is a nationally representative study of NSSI latent clusters and extends and validates the existence of NSSI subtypes revealed by prior research.
Psychiatric Quarterly – Springer Journals
Published: Aug 15, 2014
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera