Evaluating changes in a welfare programme users' levels of depression

Marisol Valencia-Cárdenas*, Juan C. Salazar, Juan C. Correa-Morales

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Objective Statistical techniques such as linear regression models are sometimes used for evaluating a community programme's impact, especially when the goal is to quantify its effects on social aspects or a particular community's overall welfare. Statistical techniques taking intra-subject correlation into account, thereby allowing social or psychological variables to be modelled, are not normally used. Such modelling strategy takes more information into account and must thus yield more accurate results than those based solely on linear regression models. Methods This paper evaluates (by means of a linear mixed model) the impact of an Institute of Sport and Recreation (Instituto de Deportes y Recreación - INDER) programme run in 2005 in Medellín on a participating population's levels of depression. Results Important variables such us intervention time and age were identified as important predictors which led to reducing depression. Conclusions Participating in INDER ́s welfare programme contributed towards reducing levels of depression.

Translated title of the contributionEvaluación de cambios en el nivel de depresión de usuarios de un programa de bienestar
Original languageEnglish
Pages (from-to)663-671
Number of pages9
JournalRevista de Salud Publica
Issue number4
Publication statusPublished - Aug 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Medicine


Dive into the research topics of 'Evaluating changes in a welfare programme users' levels of depression'. Together they form a unique fingerprint.

Cite this