The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale

Abstract

The present study aimed to use a latent profile analysis to distinguish between populations in terms of life domain importance and satisfaction profiles. Then, a multinomial logistic regression was used to determine how background variables (e.g., gender, living areas, and school levels) and self-perceived health predict each latent quality of life (QoL) profile. We also investigated how the latent groups of adolescents predicted negative and positive well-being indicators (e.g., problem behaviors and overall life satisfaction). The sample consisted of 720 Taiwanese secondary school students. Three latent groups were established as follows: "unimportant-unsatisfied," "important-unsatisfied," and "important-satisfied." The results indicate the following: (a) boys were more likely to fall into the "unimportant-unsatisfied" group than were girls; (b) better health increased the likelihood of being in the "important-satisfied" group; (c) high school students were more likely to be in the "unimportant-unsatisfed" group than were middle school students; and (d) no relationship was found between latent groups and living areas. The function of importance rating was not present when evaluating the importance-satisfaction profiles and their relationship with problem behaviors and overall life satisfaction. The problems of the "unimportant-unsatisfied" profile among youth are discussed.