1. Características psicométricas de la Escala Center for Epidemiological Studies-depression (CES-D), versiones de 20 y 10 reactivos, en mujeres de una zona rural mexicana.
- Author
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Chapela, Ietza Bojorquez and de Snyder, Nelly Salgado
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PSYCHOMETRICS , *RURAL women , *DEPRESSION in women , *EPIDEMIOLOGICAL research , *STATISTICAL methods in health surveys , *PSYCHOLOGY , *PHYSIOLOGY - Abstract
Depressive symptoms constitute a common mental health problem, with a relevant social and personal impact. These symptoms are present not only among the urban population in more economically developed countries, but also in rural areas in poor and middle development countries. In order to obtain reliable information on the frequency of depressive symptoms, their risk factors or the impact of preventive and clinical measures, valid measurement instruments are needed. Radloff's Center for Epidemiological Studies - Depression scale (CES-D) was originally developed for the study of depressive symptoms in an open population. While the CES-D is not useful for the evaluation of depressive disorders according to psychiatric criteria, it can still yield useful information about the presence of depressed mood, feelings of guilt and worthlessness, feelings of helplessness and hopelessness, psychomotor retardation, and somatic complaints, which constitute dimensions of depression. The instrument has been shown to be valid in culturally diverse groups. It has also been shown to correlate with the clinical diagnosis of depression, with sensibility as high as 100%, while its specificity has been reported as 57-88%. Shorter versions of the CES-D have been developed. Their advantages include a more easy inclusion in ample questionnaires, and their being less tiresome for respondents. The main objective of this study was to evaluate the psychometric properties of CES-D, both the original, 20- item version, and the 10- item version by Andresen et al., in women living in the Mixteca, a poor rural area which includes part of the states of Guerrero, Oaxaca and Puebla, in southern Mexico. The instrument was applied as part of a comprehensive survey on health and migration in three rural municipalities in the Mixteca. The sampling design included cluster, proportional to size sampling of localities, and systematic selection of households. At each household, one woman of between 15 and 49 years of age responded a questionnaire which included the CES-D. A total of 468 women were included in the sample (median 35 yrs, interquartile range 28, 42). Of these, 89% were married or had a stable partner, 5% were single, 13% separated, and 12% widowed. The majority (65%) had only six years of schooling, while 16% had no formal education. The statistical analysis was conducted on the 343 questionnaires with complete answers to the CES-D (73% of the sample). The mean score in CES-D-20 was 11.3 (standard deviation 8.8). The mean score in CES-D-10 was 6.3 (standard deviation 5.0). According to the respective cut-off points, prevalence of depressive symptoms was 24.5% for the CES-D-20 and 22.3% for CES-D-10. A descriptive statistical analysis of the scores in each item and in the complete scales was conducted. In order to evaluate the internal consistency of CES-D, both 10- and 20- item versions, inter-item and item-total correlations were calculated. Cronbach's alpha coefficient was also obtained. Factor analysis was employed to determine if the actual aggregation of the items was coherent with the theoretical dimensions they were intended to measure. Another way to prove validity was through the analysis of the association between the score in the CES-D and the answers to questions about «nervios», an ethnical syndrome well recognized in the region and sharing characteristics with depression. Also, the association of scores with other variables known to be related to depressive symptoms, such as being chronically ill or the educational level, was investigated. In order to evaluate CES-D-10 capacity to identify depressive symptoms, taking the CES-D-20 as reference, Spearman's correlation coefficient between the scores in both scales was calculated. The kappa statistic was employed to evaluate the concordance between scales in the classification of individuals according to their respective cut-off points.… [ABSTRACT FROM AUTHOR]
- Published
- 2009