Depression and smoking: a 5-year prospective study of patients with major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) and smoking are major public health problems and epidemiologically strongly associated. However, the relationship between smoking and depression and whether this is influenced by common confounding factors remain unclear, in part due to limited longitudinal data on covariation. METHODS: In the Vantaa Depression Study, psychiatric out- and inpatients with DSM-IV MDD and aged 20-59 years at were followed from baseline to 6 months, 18 months, and 5 years. We investigated course of depression, smoking, and comorbid alcohol-use disorders among the 214 patients (79.6% of 269) participating at least three time points; differences between smoking versus nonsmoking patients, and covariation of MDD, smoking, and alcohol-use disorders. RESULTS: Overall, 31.3% of the patients smoked regularly, 41.1% intermittently, and 27.6% never. Smokers were younger, had more alcohol-use disorders and Cluster B and C personality disorder symptoms, a higher frequency of lifetime suicide attempts, higher neuroticism, smaller social networks, and lower perceived social support than never smokers. Smoking and depression had limited longitudinal covariation. Depression, smoking, and alcohol-use disorders all exhibited strong autoregressive tendencies. CONCLUSIONS: Among adult psychiatric MDD patients, smoking is strongly associated with substance-use and personality disorders, which may confound research on the impact of smoking. Rather than depression or smoking covarying or predicting each other, depression, smoking, and alcohol-use disorders each have strong autoregressive tendencies. These findings are more consistent with common factors causing their association than either of the conditions strongly predisposing to the other.

Family history of psychiatric disorders and the outcome of psychiatric patients with DSM-IV major depressive disorder.

BACKGROUND: Major Depressive Disorder (MDD) is often comorbid with other heritable disorders. The correlates of a family history (FH) of mood disorders but not of comorbid disorders among MDD patients have been investigated. Since bipolar disorder (BD) is highly heritable, latent BD may bias findings. METHODS: The Vantaa Depression Study included 269 psychiatric out- and in-patients with DSM-IV MDD, diagnosed with semistructured interviews and followed-up for 5 years with a life-chart. The FH of mood, psychotic disorders, and alcoholism among first-degree relatives of 183 patients was investigated. RESULTS: Three fourths (74.9%) of patients reported a FH of some major mental disorder; 60.7% of mood disorder, 36.6% alcoholism, and 10.9% psychotic disorder. In multivariate regression models, a FH of mood disorder was associated with high neuroticism (OR 1.08 [1.02-1.15], p=0.014); a FH of alcoholism with alcohol dependence, number of cluster B personality disorder symptoms, and dysthymia (OR 2.27 [1.01-5.08], p=0.047; OR=1.11 [1.01-1.23], p=0.030; and OR 4.35 [1.51-12.5], p=0.007), and a FH of psychotic disorder with more time spent with depressive symptoms (OR 1.03 [1.00-1.05], p=0.043). However, after excluding those who later switched to BD, several of the associations abated or lost significance. LIMITATIONS: Family history was ascertained only by an interview of the proband. CONCLUSIONS: The majority of MDD patients have a positive FH besides mood also of other disorders. A mood disorder FH may correlate with higher neuroticism, alcoholism FH with alcoholism or personality disorders. FH studies of MDD should take into account the impact of patients switching to BD.

Treatment attitudes and adherence of psychiatric patients with major depressive disorder: a five-year prospective study.

BACKGROUND: The prevalence, long-term temporal consistency and factors influencing negative attitudes and poor treatment adherence among psychiatric patients with major depressive disorder (MDD) are not well known. METHODS: In the Vantaa Depression Study (VDS), a prospective 5-year study of psychiatric patients with DSM-IV MDD, 238 (88.5%) patients' attitudes towards and adherence to both antidepressants and psychotherapeutic treatments at baseline, 6 months, 18 months and 5 years was investigated. RESULTS: Throughout the follow-up, most patients reported positive attitudes towards pharmacotherapy and psychosocial treatments, and good adherence. While attitudes became more critical over time, adherence to psychosocial treatment improved, but remained unchanged for pharmacotherapy. Employment predicted positive attitude (OR=1.97, 95% CI 1.01-3.83, P=0.046), and larger social network good adherence (OR=1.11, 95% CI 1.00-1.23, P=0.042) to pharmacotherapy at the last follow-up. Cluster B personality disorder symptoms predicted negative attitude (OR=0.82, 95% CI 0.70-0.96, P=0.012) and poor adherence (OR=0.83, 95% CI 0.72-0.95, P=0.007), but cluster C symptoms positive attitude (OR=1.30, 95% CI 1.09-1.54, P=0.003), and living alone good adherence (OR=3.13, 95% CI 1.10-9.09, P=0.032) to psychosocial treatment. LIMITATIONS: Patients may exaggerate their adherence to treatments. Attrition from follow-up may occur due to undetected negative change in treatment attitude or adherence. CONCLUSIONS: Among psychiatric MDD patients in long-term follow-up, treatment attitudes and adherence to pharmaco- and psychotherapy were and remained mostly positive. They were significantly predicted by personality features and social support. Attention to adherence of those with cluster B personality disorders, or poor social support, may be needed.

Incidence and predictors of suicide attempts in DSM-IV major depressive disorder: a five-year prospective study.

OBJECTIVE: Prospective long-term studies of risk factors for suicide attempts among patients with major depressive disorder have not investigated the course of illness and state at the time of the act. Therefore, the importance of state factors, particularly time spent in risk states, for overall risk remains unknown. METHOD: In the Vantaa Depression Study, a longitudinal 5-year evaluation of psychiatric patients with major depressive disorder, prospective information on 249 patients (92.6%) was available. Time spent in depressive states and the timing of suicide attempts were investigated with life charts. RESULTS: During the follow-up assessment period, there were 106 suicide attempts per 1,018 patient-years. The incidence rate per 1,000 patient-years during major depressive episodes was 21-fold (N=332 [95% confidence interval [CI]=258.6-419.2]), and it was fourfold during partial remission (N=62 [95% CI=34.6-92.4]) compared with full remission (N=16 [95% CI=11.2-40.2]). In the Cox proportional hazards model, suicide attempts were predicted by the months spent in a major depressive episode (hazard ratio=7.74 [95% CI=3.40-17.6]) or in partial remission (hazard ratio=4.20 [95% CI=1.71-10.3]), history of suicide attempts (hazard ratio=4.39 [95% CI=1.78-10.8]), age (hazard ratio=0.94 [95% CI=0.91-0.98]), lack of a partner (hazard ratio=2.33 [95% CI=0.97-5.56]), and low perceived social support (hazard ratio=3.57 [95% CI=1.09-11.1]). The adjusted population attributable fraction of the time spent depressed for suicide attempts was 78%. CONCLUSIONS: Among patients with major depressive disorder, incidence of suicide attempts varies markedly depending on the level of depression, being highest during major depressive episodes. Although previous attempts and poor social support also indicate risk, the time spent depressed is likely the major factor determining overall long-term risk.

Predictors for switch from unipolar major depressive disorder to bipolar disorder type I or II: a 5-year prospective study.

OBJECTIVE: In this naturalistic study, we investigated the rate, time course, and predictors of a diagnostic switch from unipolar major depressive disorder (MDD) to bipolar disorder type I or II during a 5-year follow-up. METHOD: The Vantaa Depression Study included at baseline 269 psychiatric outpatients (82.9%) and inpatients (17.1%) with DSM-IV MDD, diagnosed using structured and semi-structured interviews and followed up at 6 months, 18 months, and 5 years between February 1, 1997 and April 30, 2004. Information on 248 MDD patients (92.2%) was available for analyses of the risk of diagnostic switch. Cox proportional hazards models were used. RESULTS: Twenty-two subjects (8.9%) with previous unipolar MDD switched to bipolar disorder type II and 7 (2.8%) to type I. Median time for switch to bipolar type I was significantly shorter than to type II. In Cox proportional hazards analyses, severity of MDD (hazard ratio [HR] = 1.08, 95% CI = 1.00 to 1.15, p = .036), obsessive-compulsive disorder (OCD) (HR = 5.00, 95% CI = 2.04 to 12.5, p < .001), social phobia (HR = 2.33, 95% CI = 1.00 to 5.26, p = .050), and large number of cluster B personality disorder symptoms (HR = 1.10, 95% CI = 1.02 to 1.20, p = .022) predicted switch. CONCLUSION: Among outpatients with MDD in secondary level psychiatric settings, diagnostic switch to bipolar disorder usually refers to type II rather than type I. The few switching to bipolar type I do so relatively early. Predictors for diagnostic switch include not only features of mood disorder, such as severity, but may also include some features of psychiatric comorbidity, such as concurrent social phobia, OCD, and symptoms of cluster B personality disorders.

Maintenance pharmacotherapy for recurrent major depressive disorder: 5-year follow-up study.

Practice guidelines endorse maintenance antidepressant treatment for recurrent major depressive disorder. In the Vantaa Depression Study, we followed 218 psychiatric patients with major depressive disorder for up to 5 years with a life-chart. Of these patients, 86 (39.4%) had more than three lifetime episodes and an indication for maintenance pharmacotherapy. However, of these, only 57% received treatment and only for 16% of the time indicated. Good adherence to pharmacotherapy in the acute phase independently predicted maintenance treatment. The tertiary preventive impact of maintenance treatment may remain limited, as many patients with major depressive disorder either do not receive it, or receive it for too short a period.

Long-term outcome of major depressive disorder in psychiatric patients is variable.

OBJECTIVE: The prevailing view of outcome of major depressive disorder (MDD), based on mostly inpatient cohorts sampled from tertiary centers, emphasizes chronicity and frequent recurrences. We investigated the long-term outcome of a regionally representative psychiatric MDD cohort comprising mainly outpatients. METHOD: The Vantaa Depression Study included 163 patients with DSM-IV MDD (71.5% of those eligible) diagnosed using structured and semistructured interviews and followed up at 6 months, 18 months, and 5 years with a life chart between February 1, 1997, and April 30, 2004. The effects of comorbid disorders and other predictors on outcome were comprehensively investigated. RESULTS: Over the 5-year follow-up, 98.8% of patients achieved a symptom state below major depressive episode (MDE) criteria, and 88.4% reached full remission, with the median time to full remission being 11.0 months. Nearly one third (29.3%) had no recurrences, whereas 30.0% experienced 1, 12.9% experienced 2, and 27.9% experienced 3 or more recurrences. Preceding dysthymic disorder (p = .028), cluster C personality disorder (p = .041), and longer MDE duration prior to entry (p = .011) were the most significant predictors of longer time in achieving full remission. Severity of MDD and comorbidity, especially social phobia, predicted probability of, shorter time to, and number of recurrences. CONCLUSION: Previous literature on mostly inpatient MDD may have, by generalizing from patients with the most severe psychopathology, overemphasized chronicity of MDD. The long-term outcome of MDD in psychiatric care is variable, with about one tenth of patients having poor, one third having intermediate, and one half having favorable outcomes. In addition to known predictors, cluster C personality disorders and social phobia warrant further attention as predictors of MDD outcome among outpatients.