METHODS: Cross-sectional data from a multicenter cohort of 419 HF outpatients were used. Both direct and indirect mapping approaches were attempted using 5 sets of explanatory variables and 8 models (ordinary least squares, Tobit, censored least absolute deviations, generalized linear model, 2-part model [TPM], beta regression-based model, adjusted limited dependent variable mixture model, and multinomial ordinal regression [MLOGIT]). The models' predictive performance was assessed through 10-fold cross-validated mean absolute error [MAE] and root mean squared error [RMSE]). Potential prediction bias was also examined graphically. The best-performing models, with the lowest RMSE and no bias, were then identified.

RESULTS: Among the models evaluated, TPM, which included age, sex, and 5 AQoL-6D dimension scores as predictors, appears to be the best-performing model for directly predicting EQ-5D-5L HSUVs from AQoL-6D. TPM yielded the lowest MAE (0.0802) and RMSE (0.1116), and demonstrated predictive accuracy for HSUVs >0.2 without significant bias. A MLOGIT model developed for response mapping had suboptimal predictive accuracy.

METHODS: A matched case-control study involving young adults aged 18-30 years was conducted in the Klang Valley of Malaysia. The young adults were matched in a 1:1 ratio based on their sociodemographic characteristics, including gender, age, marital status, ethnicity, educational attainment, employment status, and monthly earned income. The Pittsburgh Sleep Quality Index was utilized to evaluate sleep quality, and the Diet Quality for Malaysia was used to determine the diet quality of all young adults. The young adults retrospectively recalled their prepandemic body weight in February 2020, while their current body weight in February 2023 was measured using a TANITA HD-314 digital weighing scale.

RESULTS: Emerging findings suggest that sleep quality and weight change were comparable between COVID-19-recovered patients and healthy controls. However, healthy controls were reported to have a more diversified diet than COVID-19-recovered patients. Nevertheless, no significant main effects or interaction effects of sleep and diet quality on weight change were observed in COVID-19-recovered patients or healthy controls. In this study, young adults also reported suffering from sleep deprivation and deficiency due to the pandemic.