Ontology type: schema:ScholarlyArticle
2013-11
AUTHORSKang Choi, Hyoungjune Im, Joohan Kim, Kwang H. Choi, Duk-In Jon, Hyunju Hong, Narei Hong, Eunjung Lee, Jeong-Ho Seok
ABSTRACTPURPOSE: Early-life stress (ELS) may mediate adjustment problems while resilience may protect individuals against adjustment problems during military service. We investigated the relationship of ELS and resilience with adjustment problem factor scores in the Korea Military Personality Test (KMPT) in candidates for the military service. METHODS: Four hundred and sixty-one candidates participated in this study. Vulnerability traits for military adjustment, ELS, and resilience were assessed using the KMPT, the Korean Early-Life Abuse Experience Questionnaire, and the Resilience Quotient Test, respectively. Data were analyzed using multiple linear regression analyses. RESULTS: The final model of the multiple linear regression analyses explained 30.2 % of the total variances of the sum of the adjustment problem factor scores of the KMPT. Neglect and exposure to domestic violence had a positive association with the total adjustment problem factor scores of the KMPT, but emotion control, impulse control, and optimism factor scores as well as education and occupational status were inversely associated with the total military adjustment problem score. CONCLUSIONS: ELS and resilience are important modulating factors in adjusting to military service. We suggest that neglect and exposure to domestic violence during early life may increase problem with adjustment, but capacity to control emotion and impulse as well as optimistic attitude may play protective roles in adjustment to military life. The screening procedures for ELS and the development of psychological interventions may be helpful for young adults to adjust to military service. More... »
PAGES1767-1776
http://scigraph.springernature.com/pub.10.1007/s00127-012-0647-x
DOIhttp://dx.doi.org/10.1007/s00127-012-0647-x
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/23275973
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RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00127-012-0647-x'
This table displays all metadata directly associated to this object as RDF triples.
328 TRIPLES
21 PREDICATES
86 URIs
39 LITERALS
27 BLANK NODES