Introduction:

Quality of life has been a concern and interest for researchers. It is defined as a social construct with limitations for its study, which are framed into three groups of problems: conceptual, methodological and instrumental.

Objective:

To develop a predictive model of low quality of life related to health in middle-aged women.

Methods:

Technological development research (R+D+I). A sample size of 532 women was chosen. For the validation of the model, 200 middle-aged women were chosen by simple random sampling. The variables used were age, age at menopause, perceived family support, number of illnesses, and intensity of climacteric syndrome.

Results:

A statistical model was created for predicting low quality of life related to health. The application of multiple logistic regression is presented. This shows the fit of the model, evaluated by Hosmer and Lemeshow’s X2 statistic (X2 Hosmer-Lemeshow=8.656), which was significant (P=0.374).

Conclusions:

Age increase in years, perceived family support and intensity of climacteric syndrome are risk factors for low quality of life related to health in the women investigated. The statistical model is suitable to be used for predicting low quality of life related to health in middle-aged women.

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