Unbound MEDLINE

Psychosocial predictors of high-risk patients undergoing orthognathic surgery. The International journal of adult orthodontics and orthognathic surgery. [Int J Adult Orthodon Orthognath Surg] Journal article

 
TitlePsychosocial predictors of high-risk patients undergoing orthognathic surgery.
Author(s)Scott AA, Hatch JP, Rugh JD, Rivera SM, Hoffman TJ, Dolce C, Bays RA 
InstitutionDepartment of Pediatrics, University of Texas Health Science Center at San Antonio 78284-7792, USA. Scottaa@uthscsa.edu
SourceInt J Adult Orthodon Orthognath Surg 1999; 14(2):113-24.
MeSHAdult
Comparative Study
Factor Analysis, Statistical
Female
Health Status Indicators
Humans
Jaw Fixation Techniques
Least-Squares Analysis
Male
Malocclusion, Angle Class II
Mandibular Advancement
Personality Inventory
Predictive Value of Tests
Prospective Studies
Psychiatric Status Rating Scales
Regression Analysis
Reproducibility of Results
Research Support, U.S. Gov't, P.H.S.
Risk Factors
Sickness Impact Profile
Treatment Outcome
AbstractThe purpose of this analysis was to identify a set of predictor variables that are prospectively related to postsurgical outcomes. Specifically, psychosocial characteristics were sought to predict postsurgical outcomes. The 5 Revised Symptom Checklist-90 (SCL-90-R) scales, the neuroticism score of the Eysenck Personality Inventory (EPI), the psychosocial domain score from the Sickness Impact Profile (SIP), and 4 scales from the Oral Health Status Questionnaire (OHSQ) were used as the predictors. A total of 31 male and 86 female subjects participated in this multicenter randomized trial, which compared rigid and wire fixation. Data were collected prior to placement of orthodontic appliances, 1 to 2 weeks presurgery, and at 1 week, 8 weeks, 6 months, and 2 years after surgery. Baseline oral health was used as an indicator of postsurgical oral health functioning. A path analytic model of influences on presurgical oral health was estimated (R2 = 0.43). The results suggest that presurgical screening of demographic characteristics (age, sex, and ethnicity), oral health (the OHSQ), quality of life issues (SIP), and personality features (SCL-90-R), accounts for 23% to 39% of the variance in postsurgical oral health outcomes. The path analysis conducted suggests that a patient's age, ethnicity, gender, and elevated scores on the EPI have indirect effects on postsurgical health. As determined by a 2-stage least squares regression model, 3 variables--the patient's presurgical oral health (per the OHSQ), pre- and postsurgical Global Severity Index (GSI) score from the SCL-90-R, and the psychosocial scale score from the SIP--were found to have a statistically significant impact on postsurgical outcomes. Additionally, the GSI, SIP, and OHSQ are reliable measures in predicting oral health outcomes.
Languageeng
Pub Type(s)Clinical Trial
Journal Article
Multicenter Study
Randomized Controlled Trial
PubMed ID10686834
  
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