Predicting life satisfaction of the Angolan elderly: A structural model

Abstract

Satisfaction with life is of particular interest in the study of old age well-being because it has arisen as an important component of old age. A considerable amount of research has been done to explain life satisfaction in the elderly, and there is growing empirical evidence on best predictors of life satisfaction. This research evaluates the predictive power of some aging process variables, on Angolan elderly people's life satisfaction, while including perceived health into the model. Data for this research come from a cross-sectional survey of elderly people living in the capital of Angola, Luanda. A total of 1003 Angolan elderly were surveyed on socio-demographic information, perceived health, active engagement, generativity, and life satisfaction. A Multiple Indicators Multiple Causes model was built to test variables’ predictive power on life satisfaction. The estimated theoretical model fitted the data well. The main predictors were those related to active engagement with others. Perceived health also had a significant and positive effect on life satisfaction. Several processes together may predict life satisfaction in the elderly population of Angola, and the variance accounted for it is large enough to be considered relevant. The key factor associated to life satisfaction seems to be active engagement with others.

Keywords:

• MIMIC models
• African context
• well-being
• aging

Acknowledgments

This study was partially supported by Seneca Foundation of the Regional Government of Murcia (Spain) under Grant 11886/PHCS/09 and a grant from the Spanish Government [project PSI2010-21334]. Laura Galiana has been beneficiary of a grant from the University of València (VCL/Campus Program, V Segles).