[Prevalence, expression and impact of depressive disorders in primary care]

Variability of the Prevalence of Depression in Function of Sociodemographic and Environmental Factors: Ecological Model

Major depression etiopathogenesis is related to a wide variety of genetics, demographic and psychosocial factors, as well as to environmental factors. The objective of this study is to analyze sociodemographic and environmental variables that are related to the prevalence of depression through correlation analysis and to develop a regression model that explains the behavior of this disease from an ecological perspective. This is an ecological, retrospective, cross-sectional study. The target population was 1,148,430 individuals over the age of 16 who were registered in Aragon (Spain) during 2010, with electronic medical records in the community’s primary health care centers. The spatial unit was the Basic Health Area (BHA). The dependent variable was the diagnosis of Depression and the ecological independent variables were: Demographic variables (gender and age), population distribution, typology of the entity, population structure by sex and age, by nationality, by education, by work, by salary, by marital status, structure of the household by number of members, and state of the buildings. The results show moderate and positive correlations with higher rates of depression in areas having a higher femininity index, higher population density, areas with a higher unemployment rate and higher average salary. The results of the linear regression show that aging +75 and rural entities act as protective factors for depression, while urban areas and deficient buildings act as risk factors. In conclusion, the ecological methodology may be a useful tool which, together with the statistical epidemiological analysis, can help in the political decision making process.

[Comorbidity of major depression with other common mental disorders in primary care patients]

INTRODUCTION

Psychiatric comorbidity affects the impact, the prognosis and the management of depression.

AIMS

To determine the prevalence of other common mental disorders in patients with major depression and to analyse their associated comorbidities.

DESIGN

Two-stage cross-sectional study: a) screening (Zung's Self-Rating Depression Scale); b) a standardised psychiatric interview.

SETTINGS

Ten health centres in the province of Tarragona.

PATIENTS

A total of 906 consecutive patients were screened. In the second stage, the 209 patients who gave a positive result and 97 patients who gave a negative result (1/7 at random) were evaluated.

ANALYSIS

The statistical analysis used weights that took into account the two-stage sampling. The frequency with which dysthymia, generalised anxiety disorder, panic disorder and somatisation disorder presented concomitantly with major depression was determined. The characteristics of the depressed patients were compared for different degrees of comorbidity.

RESULTS

In 45.7% (95% CI, 32.8-59.2) of patients with major depression there was one other coexisting mental disorder, in 19.9% (95% CI, 13.7-27.9) two more mental disorders and in 8.3% (95% CI, 4.5-14.8) three more mental disorders. Generalised anxiety disorder was present in 55.2% of depressed patients (95% CI, 41.6-68), panic disorder in 33.8% (95% CI, 21.1-47.1), dysthymia in 15.7% (95% CI, 10.3-23.4) and somatisation disorder in 6.6% (95% CI, 3.3-12.8). In the groups of patients with comorbidity, the depression was more severe and had a greater functional impact. There were no differences in the clinical management variables.

CONCLUSIONS

Psychiatric comorbidity of depression is common in primary care. Most depressed patients suffer from other disorders, often anxiety.

Detection and management of depressive disorders in primary care in Spain

OBJECTIVE

Many patients with depression who attend primary care are not detected and are unaware of the benefits of therapeutic intervention. Our aim is to evaluate the recognition and management of depressed patients presenting in primary care in Spain.

METHODS

This was a two-phase cross-sectional study in primary care centers in Tarragona (Spain). In the first phase, we screened 906 consecutive patients using the Zung's Self-Rating Depression Scale. In the second phase, all 209 patients whose results were positive and 97 patients whose results were negative (1/7 at random) were given the Structured Clinical Interview for DSM-IV Disorders, a series of questionnaires, and the judgment of the physician about the presence of depression was determined. In the 120 patients with major depression and/or dysthymia, predictors of detection and treatment of depression were determined.

RESULTS

Seventy-two percent of depressed patients were detected. The detection was associated with educational level, severity of the depression, level of impairment, and the complaint of explicit psychological symptoms. Thirty-four percent were receiving treatment with antidepressants. Antidepressant treatment was associated with marital status, severity of and impairment from the depression, frequency of visits to the family physician, and the patients' complaint of psychological symptoms.

CONCLUSION

Many depressed patients are not detected, but these are often the patients who present with the mildest forms of depression and for whom the benefits of detection are far from clear. Although treatment was associated with the severity of depression, most depressed patients, at any level of seriousness, do not receive appropriate treatment.