Search

Background. Depression is highly co-morbid with both psychiatric and chronic somatic disease. These types of co-morbidity have been shown to exert opposite effects on underdiagnosis of depression by general practitioners (GPs). However, past research has not addressed their combined effect on underdiagnosis of depression.Method. Co-morbidity data on 191 depressed primary-care patients selected by a two-stage sampling procedure were analysed. Diagnoses of major depression and/or dysthymia in the last 12 months were assessed using a standardized psychiatric interview (CIDI) and compared with depression diagnoses registered by GPs in patient contacts during the same period. Presence of psychiatric and chronic somatic co-morbidity was determined using the CIDI and contact registration, respectively.Results. Regression analysis showed a significant interaction effect between psychiatric and chronic somatic co-morbidity on GPs’ diagnosis of depression, while taking into account the effects of sociodemographic variables, depression severity and number of GP contacts. Subsequent stratified analysis revealed that in patients without chronic somatic co-morbidity, a lower educational level, a less severe depression, and fewer GP contacts all significantly increased the likelihood of not being diagnosed as depressed. In contrast, in patients with chronic somatic co-morbidity, only having no psychiatric co-morbidity significantly decreased the likelihood of receiving a depression diagnosis.Conclusions. Our results indicate that the effects of psychiatric co-morbidity and other factors on underdiagnosis of depression by GPs differ between depressed patients with and without chronic somatic co-morbidity. Efforts to improve depression diagnosis by GPs seem to require different strategies for depressed patients with and without chronic somatic co-morbidity.

Background: To clarify the problem of diagnosing major depression in elderly primary care patients, we studied the nuances of diagnostic classification by general practitioners (GPs) and the relationship between sociodemographic and clinical factors and an accurate diagnosis of depression. Methods: As part of a national survey of general practice a standardised psychiatric interview (CIDI) was performed in 237 subjects ≥55 years screened for the presence of psychopathology. Fifty-five patients were found to suffer from a major depressive disorder in the last 12 months. In these patients, GPs registered during 1 year all contact diagnoses and prescriptions of medication. Results: Nearly all depressed patients (96.4%) had one or more contacts with their GP during 1 year. GPs classified 20.8% of the patients as having a down/depressed feeling or depression, while 32.1% as having other psychological problems than depression. It was remarkable that an accurate diagnosis by GPs was significantly related to higher age in this age group. Regarding the clinical characteristics, there was a significantly higher number of prescriptions of antidepressants in the accurately diagnosed patients. We found no significant differences in respect to other clinical characteristics (e.g. severity and number of symptoms, comorbidity of anxiety and somatic disorders). Conclusions: GPs are aware of the psychological problems in half of the elderly patients with major depression, but do not explicitly distinguish depressive symptoms from other psychological problems or from social problems. Integrated programs may be more promising to improve the diagnostic rate than clinical education or guideline implementation alone.

Objective: Diminished HR variability is considered to be associated with depression and the increased risk of cardiovascular disease. The pharmacological effects of antidepressants and depressive mood itself may contribute to alterations in autonomic cardiac functioning, but a limited amount of data is available. We studied the effects of two different types of antidepressant treatments (imipramine and fluvoxamine), in addition to the effect of depressive mood, on the cardiovascular system in depressed patients. Methods: Depressed inpatients were studied during a drug-free period and after 4 weeks of adequate treatment with imipramine (n = 17) or fluvoxamine (n = 24). Heart rate variability, blood pressure variability, and a baroreflex sensitivity index during supine rest and orthostatic challenge were analyzed by means of spectral techniques to obtain noninvasive parameters of sympathetic and parasympathetic activity. Results: Both imipramine and fluvoxamine reduced sympathetic and parasympathetic activity, although the effects of imipramine were much more pronounced. Severity of depression was positively related to mean levels of heart rate and blood pressure in the total patient group. There was no convincing evidence that these relationships differed between depressed patients treated with imipramine and those treated with fluvoxamine. Conclusion: Our findings suggest that alterations in mean heart rate and blood pressure in depressed patients after antidepressant treatment are the result of a combined effect of pharmacological actions of antidepressants and improvement of depressive mood state. The present study did not confirm the relationship between clinical state and cardiovascular variability or baroreflex sensitivity.

Background: The daily pattern of motor activity and the autonomic cardiovascular regulation were studied in major depression to quantify changes in psychomotor function and autonomic cardiac functioning. Additionally, relationships between motor activity parameters, cardiovascular measures and specific clinical features were examined. Methods: Wrist-actigraphy was used to monitor 24-h motor activity for 67 unmedicated (unipolar) depressed inpatients and 64 control subjects. During supine rest, spectral analysis was applied to assess HR and SBP variability, a baroreflex sensitivity (BRS) index and the respiratory frequency, in addition to mean heart rate (HR) and blood pressure (BP) levels for the patient group and a second control group (N=51). Results: The patients showed a lower motor activity level and a reduced fragmentation of motor activity during wake, and a higher motor activity level and a decreased immobility during sleep. The mean HR and DBP level and the respiratory frequency were higher in the patient group than in the control group, but no differences in HR and SBP variability or BRS were found. Furthermore, motor activity parameters and cardiovascular measures of the patients were related to agitation and retardation and overall, patients with lower motor activity levels demonstrated lower SBP levels. Conclusions: This study confirms that the 24-h pattern of motor activity is altered in unmedicated depressed inpatients, but limited evidence was found for an autonomic cardiac dysfunction. Within the patient group there were relationships between motor activity parameters, cardiovascular measures, and clinical features, but the underlying neurobiological pathways need to be further explored.

Psychomotor dysfunction in depression is related to alterations in the 24-h pattern of motor activity. After antidepressant treatment the diurnal pattern may be changed due to improvement of clinical state or pharmacological actions. The purpose of this study was to evaluate in 52 depressed in-patients the effects of imipramine (tricyclic antidepressant) and fluvoxamine (SSRI) on the 24-h motor activity. Motor activity was monitored by wrist-actigraphy during a medication-free period and after 4 weeks of treatment. Clinical improvement was not different after imipramine or fluvoxamine treatment. The Hamilton depression score decreased in patients treated with imipramine, as well as in patients treated with fluvoxamine. The clinical retardation score was also reduced in both treatment groups. However, patients treated with imipramine showed higher motor activity levels during the wake period in comparison to the medication-free period, and more fragmentation of motor activity during sleep. Treatment with fluvoxamine did not result in alterations in the 24-h pattern of motor activity. The improvement of depressive mood and retardation seems to play a minor role in the change of the pattern of motor activity after imipramine.

Background Socio-economic disparities in health status are frequently reported in research. By comparison with education and income, occupational status has been less extensively studied in relation to health status or the occurrence of specific chronic diseases. The aim of this study was to investigate health disparities in the working population based on occupational position and how they were modified by education. Methods Our data were derived from the National Survey of General Practice that comprised 104 practices in the Netherlands. 136,189 working people aged 25–64 participated in the study. Occupational position was assessed by the International Socio-Economic Index of occupational position (ISEI). Health outcomes were self-perceived health status and physician-diagnosed diseases. Odds ratios were estimated using multivariate logistic regression analysis. Results The lowest occupational position was observed to be associated with poor health in men (OR = 1.6, 95% CI 1,5 to 1.7) and women (OR = 1.3, 95% CI 1.2 to 1.4). The risk of poor health gradually decreased in relation to higher occupational positions. People with the lowest occupational positions were more likely to suffer from depression, diabetes, ischaemic heart disease, arthritis, muscle pain, neck and back pain and tension headache, in comparison to people with the highest occupational position (OR 1.2 to 1.6). A lower educational level induced an additional risk of poor health and disease. We found that gender modified the effects on poor health when both occupational position and education were combined in the analysis. Conclusion A low occupational position was consistently associated working people with poor health and physician-diagnosed morbidity. However a low educational level was not. Occupational position and education had a combined effect on self-perceived health, which supports the recent call to improve the conceptual framework of health disparities.

Background: Although psychiatric disorders are highly prevalent in the community, many patients with a psychiatric morbidity remain unidentified as such in primary care. Objective: The aim of this study was to analyze which clinical and sociodemographic characteristics of patients with psychiatric morbidity are related to general practitioners' (GPs) diagnosis of mental illness. Methods: A 1-year naturalistic survey of primary care contacts of patients with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnosis of affective disorder, anxiety disorder or alcohol abuse was carried out. Results: Of the patients with a DSM-IV diagnosis, 10% did not visit their GP at all during 1 year, 40% visited their GP but were only diagnosed as having somatic diagnoses and 50% were given a psychological or social diagnosis at least once during 1 year. Affective disorders are more frequently diagnosed than anxiety disorders or alcohol abuse. The chances of psychological GP diagnosis increase with the number of GP contacts. Conclusions: GPs appear to have few indications to help them distinguish patients with a psychiatric morbidity from others, as long as the patients themselves do not express more explicit clues to their condition. Public mental health education and a better public relations policy are badly needed.

The effects of personality dimensions, age, and gender on 24-hour motor activity patterns were studied in 101 healthy subjects between 20-70 years. We measured motor activity by wrist-actigraphy and personality dimensions by the Tridimensional Personality Questionnaire (TPQ) of Cloninger. Random Regression Models were used to estimate the effects of personality dimensions, age, and gender on the diurnal pattern of motor activity. Harm Avoidance as well as Reward Dependence influenced the overall level of motor activity, independent of age and gender. Subjects high on Harm Avoidance showed lower activity levels than subjects low on Harm Avoidance, whereas subjects high on Reward Dependence had higher overall levels of motor activity than subjects low on Reward Dependence. Older subjects were found to be less active than younger subjects, but the activity level did not differ between males and females.

Numerous neuropsychological studies have reported deficits in cognitive and attentional functioning in depressed patients. However, there are limited data available about unmedicated depressed patients and the effects of antidepressant treatment on attentional performance. In this study, a Continuous Performance Test (CPT) was employed to evaluate the attentional performance of depressed inpatients during a drugfree period (n = 52) in comparison to healthy control subjects (n = 73). After 4 weeks of double-blind treatment with imipramine (TCA) or fluvoxamine (SSRI) at adequate plasma levels the CPT performance was studied again. We found that the unmedicated patients had a significantly impaired performance on all CPT parameters (reaction time, omission errors and commission errors) in comparison to the controls. None of the CPT parameters correlated with the severity of the depression or the level of psychomotor retardation. However, the CPT performance in the patient group was significantly related to subjective mood state (depression, tension). Double-blind treatment with imipramine or fluvoxamine resulted in an improvement of the CPT performance. In the imipramine treatment group the mean reaction time decreased significantly, and after treatment with fluvoxamine a significant decrease of the mean reaction time and the number of omission errors was detected. Both antidepressants induced a significant improvement of clinical state, but we did not find a relationship between the altered CPT performance and the changes on the clinical scales. Future studies should investigate other mechanisms underlying the improved attentional performance after treatment.