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Spatial distribution of individuals with symptoms of depression in a periurban area in Lima: an example from Peru.

Ruiz-Grosso, Paulo; Miranda, J Jaime; Gilman, Robert H; Walker, Blake Byron; Carrasco-Escobar, Gabriel; Varela-Gaona, Marco; Diez-Canseco, Francisco; Huicho, Luis; Checkley, William; Bernabe-Ortiz, Antonio.
Ann Epidemiol ; 26(2): 93-99.e2, 2016 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-26654102

PURPOSE:

To map the geographical distribution and spatial clustering of depressive symptoms cases in an area of Lima, Peru.

METHODS:

Presence of depressive symptoms suggesting a major depressive episode was assessed using a short version of the Center for Epidemiologic Studies Depression Scale. Data were obtained from a census conducted in 2010. One participant per selected household (aged 18 years and above, living more than 6 months in the area) was included. Residence latitude, longitude, and elevation were captured using a GPS device. The prevalence of depressive symptoms was estimated, and relative risks (RRs) were calculated to identify areas of significantly higher and lower geographical concentrations of depressive symptoms.

RESULTS:

Data from 7946 participants, 28.3% male, mean age 39.4 (SD, 13.9) years, were analyzed. The prevalence of depressive symptoms was 17.0% (95% confidence interval = 16.2%-17.8%). Three clusters with high prevalence of depressive symptoms (primary cluster RR = 1.82; P = .003 and secondary RR = 2.83; P = .004 and RR = 5.92; P = .01), and two clusters with significantly low prevalence (primary RR = 0.23; P = .016 and secondary RR = 0; P = .035), were identified. Further adjustment by potential confounders confirmed the high prevalence clusters but also identified newer ones.

CONCLUSIONS:

Screening strategies for depression, in combination with mapping techniques, may be useful tools to target interventions in resource-limited areas.