Brief report
Outcome for adjustment disorder with depressed mood: comparison with other mood disorders

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Abstract

Background: A review of the research literature on the diagnostic category of adjustment disorder indicates that its construct validity has not been established. Nevertheless, the diagnosis is made frequently, with an estimated incidence of 5–21% in psychiatric consultation services for adults. Methods: Retrospective data was used to evaluate the construct validity of the adjustment disorder diagnostic category. The data primarily consisted of SF-36 Health Status Survey responses by a large group of adult psychiatric outpatients before treatment and again six months after beginning treatment. Subjects were divided into five diagnostic groups, and MANOVA, MANCOVA and chi square were used to clarify relationships among diagnoses, sociodemographic data and SF-36 scores. Results: Diagnostic categories were significantly different at baseline, but did not differ in terms of outcome at six-months follow-up. There was a significant gender difference at baseline and a significant difference in gender distribution across diagnostic categories. Limitations: Structured interviews were not used for initial diagnoses, nor is there an estimate of the reliability of diagnoses among the clinicians. The patient attrition rate for six-months follow-up data was about 50%. Finally, patients received individualized treatment, with some patients receiving both medication and psychotherapy. Conclusions: Female patients were significantly more likely to be diagnosed with major depression or dysthymia than with an adjustment disorder. Females were also more likely than males to score lower on the mental health related scales of the SF-36 at admission. Patients diagnosed with an adjustment disorder scored higher on all SF-36 scales than did the other diagnostic groups at baseline and again at follow-up. There was no significant difference among diagnostic groups with regard to treatment outcome, suggesting that the adjustment disorder group can benefit as much as the other groups from treatment.

Section snippets

Methods, subject selection

Beginning in the latter part of 1995, adults seeking treatment at the Laureate Outpatient Psychiatric Clinic in Tulsa, Oklahoma were asked to participate in a quality assurance program which consisted of completion of a baseline SF-36 (cf. below) and a follow-up SF-36 at six months after admission. For administrative reasons, not all patients were approached, and of course not all patients agreed to participate. However, we have no evidence of a selection bias in the kinds of patients who were

Measures

The primary psychometric measure for this study was the 36-item Short-Form Health Status Survey (SF-36). This survey is a self-report measure that was adapted from the Medical Outcomes Study long-form measure. This measure is considered a measure of health status and functioning, well being and quality of life. The SF-36 contains eight multi-item subscales including: social functioning, emotional well-being, role limitation due to emotional health problems, energy or fatigue, physical

Statistical analysis

In order to detect possible differences between patients who completed six-month follow-up questionnaires and those who did not, a discriminate analysis was performed on the following variables: gender, age, marital status, employment status, and admission scores on the PCS and MCS. Employment status was coded as a dichotomous variable, either employed or unemployed. Marital status was re-coded into two dichotomous variables, the first as married vs. not married, and the second as divorced or

Results

The discriminate analysis resulted in statistically significant differences between patients who completed the six-month follow-up and those who did not on two of the variables: age and MCS. At baseline, patients' average score on the MCS was 24.99 and their average age was 37.90; at follow-up the average score on the MCS was 23.16 and the average age was 38.93. The MANOVA on the eight SF-36 scales at baseline indicated that the five diagnostic categories were significantly different (P<0.001).

Conclusions

The SF-36 data at baseline and at the six-month follow-up both support the separate construct validity of the adjustment disorder diagnostic category. Both MANOVAS were significant (P<0.001), and in both analyses, deviation contrasts indicated that the adjustment disorder group scores were significantly different (P<0.05) from the overall mean for all five categories. Furthermore, the results of the MANCOVA indicating that there were no differences in six-month outcome scores among the five

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