Observational analysis identifies trends in quality of life using statistical indicators and self-perception questionnaires.
Quality of life studies are numerous and of great interest. Beyond their practical utility, are also heavily publicized. The methodologies used are highly heterogeneous, relying on various statistical data and indicators, comparisons and correlations its difficult to make. This study aims a combined analysis of data and statistical indicators with questionnaires applied in the field in order to introduce an qualitative aspect - self-perception. The obtained results have been interpreted, compared, validated through correlation coefficient calculation and predictively analysed through linear regression. The analysis allowed identification trends and the formulation of some conclusions regarding important aspects of quality of life.
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Baltălungă et al. (2025) studied this question.
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