Psychosocial risk clustering in high school students.
BACKGROUND
This secondary analysis describes the frequency of self-reported psychosocial risk factors in a geographically defined population of adolescents and quantifies the extent of multiple risks. Cluster analysis is used to develop three empirically distinct psychosocial risk clusters.


METHODS
High school students in grades 9-13 from all seven public and two catholic high schools in the study area completed a class-administered survey. The analysis is based on 3540 surveys reflecting approximately a 71% response. Cumulative risk was calculated by summing the number of times students exceeded a pre-defined threshold on a series of global rating scales. Risk clusters were created using a non-hierarchical cluster analysis technique for binary data. Clusters were partially validated by examining differences in socio-demographic and health utilization patterns. Reliability was assessed by examining two, three, and four-group solutions across gender and grade strata.


RESULTS
Multiple symptoms of emotional distress were reported by 37% of the sample, multiple stressors by 62% of the sample, and poly-drug use by 33%. In addition, three empirically distinct clusters were derived. Normals, 21% of the sample, did not report excessive stress or distress, and did not use substances. The Stressed (45%) reported excessive stress and distress predominantly related to schoolwork, parents, and facing problems. Virtually none used drugs. Substance Users (34%) reported excessive stress, distress, and high levels of substance use: smoking, drinking, and use of illicit drugs. Clusters were significantly different with respect to most socio-demographic factors, self-reported general health, and most aspects of health service utilization suggesting that they have some validity for targeting programs.


CONCLUSIONS
This study highlights the importance of focusing on multi-morbidities and illustrates the use of cluster analysis to identify risk profiles that may be amenable to school-based health promotion and prevention programs.
Stuart
Heather
H
Dept. of Community Health and Epidemiology, Queen's University, Kingston (ON), Canada K7L 3N6. hh11@post.queensu.ca
D000293:Adolescent; D002170:Canada / Q000453:epidemiology; D002391:Catchment Area, Health; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology / Q000628:therapy*; D008605:Mental Health Services / Q000706:statistics & numerical data*; D011584:Psychology; D018570:Risk Assessment; D012307:Risk Factors; D012574:Schools / Q000706:statistics & numerical data; D013334:Students / Q000523:psychology* / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires