Published online Jul 15, 2022. doi: 10.4239/wjd.v13.i7.566
Peer-review started: December 20, 2021
First decision: April 18, 2022
Revised: April 29, 2022
Accepted: June 20, 2022
Article in press: June 20, 2022
Published online: July 15, 2022
Processing time: 203 Days and 5.6 Hours
The prevalence of glucolipid metabolic disorders (GLMDs) in children and adolescents has a recognized association with cardiovascular diseases and type 2 diabetes mellitus in adulthood. Therefore, it is important to increase our understanding of the risk factors for GLMD in childhood and adolescence.
Quality of life (QoL) includes multidimensional terms, which represent satisfaction with life status and describe a subject’s functioning in physical, emotional, and social domains. Little evidence about the relationship between QoL and GLMD has been reported, especially in children and adolescents, which is an important stage of growth.
The aim of this cohort study was to explore the correlation of QoL scores and personality traits with GLMD in adolescents, providing an excellent opportunity to identify independent risk factors for GLMD after adjusting for multiple variables, such as perinatal variables, socioeconomic status, anthropometric measures, and other biochemical indexes.
Two-stage stratified cluster sampling was used to select children from urban and rural areas of Chongqing; two regions per county were randomly chosen; and finally, all children living in the selected region were informed and included if they met the inclusion criteria.
Our study revealed that QoL scores mainly correlate negatively with the prevalence of GLMD in adolescents.
The prevalence of GLMD and high glycolipid levels are increased in adolescents with features of low QoL scores. Our study adds more evidence about sex difference in the association between QoL and GLMD, and more domains of QoL correlate with GLMD in females.
Our study illustrates the relationship between QoL and glycolipid indexes from a nearly cross-sectional perspective, and a further well-designed cohort study with a large sample size or randomized controlled trial should be conducted to explore the causal relationships.