Predictors of psychiatric disorders in combat veterans. 2013

Stephanie Booth-Kewley, and Emily A Schmied, and Robyn M Highfill-McRoy, and Gerald E Larson, and Cedric F Garland, and Lauretta A Ziajko
Behavioral Science and Epidemiology Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106-3521, USA. stephanie.kewley@med.navy.mi

BACKGROUND Most previous research that has examined mental health among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) combatants has relied on self-report measures to assess mental health outcomes; few studies have examined predictors of actual mental health diagnoses. The objective of this longitudinal investigation was to identify predictors of psychiatric disorders among Marines who deployed to combat in Iraq and Afghanistan. METHODS The study sample consisted of 1113 Marines who had deployed to Iraq or Afghanistan. Demographic and psychosocial predictor variables from a survey that all Marines in the sample had completed were studied in relation to subsequent psychiatric diagnoses. Univariate and multivariate logistic regression were used to determine the influence of the predictors on the occurrence of psychiatric disorders. RESULTS In a sample of Marines with no previous psychiatric disorder diagnoses, 18% were diagnosed with a new-onset psychiatric disorder. Adjusting for other variables, the strongest predictors of overall psychiatric disorders were female gender, mild traumatic brain injury symptoms, and satisfaction with leadership. Service members who expressed greater satisfaction with leadership were about half as likely to develop a mental disorder as those who were not satisfied. Unique predictors of specific types of mental disorders were also identified. CONCLUSIONS Overall, the study's most relevant result was that two potentially modifiable factors, low satisfaction with leadership and low organizational commitment, predicted mental disorder diagnoses in a military sample. Additional research should aim to clarify the nature and impact of these factors on combatant mental health.

UI MeSH Term Description Entries
D008137 Longitudinal Studies Studies in which variables relating to an individual or group of individuals are assessed over a period of time. Bogalusa Heart Study,California Teachers Study,Framingham Heart Study,Jackson Heart Study,Longitudinal Survey,Tuskegee Syphilis Study,Bogalusa Heart Studies,California Teachers Studies,Framingham Heart Studies,Heart Studies, Bogalusa,Heart Studies, Framingham,Heart Studies, Jackson,Heart Study, Bogalusa,Heart Study, Framingham,Heart Study, Jackson,Jackson Heart Studies,Longitudinal Study,Longitudinal Surveys,Studies, Bogalusa Heart,Studies, California Teachers,Studies, Jackson Heart,Studies, Longitudinal,Study, Bogalusa Heart,Study, California Teachers,Study, Longitudinal,Survey, Longitudinal,Surveys, Longitudinal,Syphilis Studies, Tuskegee,Syphilis Study, Tuskegee,Teachers Studies, California,Teachers Study, California,Tuskegee Syphilis Studies
D008297 Male Males
D008603 Mental Health Emotional, psychological, and social well-being of an individual or group. Mental Hygiene,Health, Mental,Hygiene, Mental
D008889 Military Personnel Persons including soldiers involved with the armed forces. Air Force Personnel,Armed Forces Personnel,Army Personnel,Coast Guard,Marines,Navy Personnel,Sailors,Soldiers,Submariners,Military,Force Personnel, Air,Personnel, Air Force,Personnel, Armed Forces,Personnel, Army,Personnel, Military,Personnel, Navy,Sailor,Soldier,Submariner
D010549 Personal Satisfaction The individual's experience of a sense of fulfillment of a need or want and the quality or state of being satisfied. Life Satisfaction,Satisfaction,Life Satisfactions,Satisfaction, Life,Satisfaction, Personal,Satisfactions, Life
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D005260 Female Females
D006304 Health Status The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures. General Health,General Health Level,General Health Status,Level of Health,Overall Health,Overall Health Status,General Health Levels,Health Level,Health Level, General,Health Levels,Health Status, General,Health Status, Overall,Health, General,Health, Overall,Level, General Health,Levels, General Health,Status, General Health,Status, Health,Status, Overall Health
D006306 Health Surveys A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area. Abortion Surveys,Abortion Survey,Health Survey,Survey, Abortion,Survey, Health,Surveys, Abortion,Surveys, Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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