Life sciences · Journal article
Metabolites · September 24, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Journal article.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
This record has not been graded across any dimension yet. Treat the label above as provisional and read the source.
What is missing. This record has no bottom line, key findings, reported figures, evidence dimensions. That is a gap in the analysis, not a judgement about the study.
Background/Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with obesity, insulin resistance, and dietary factors. This study investigated the associations of dietary fructose intake and insulin resistance with liver disease-related quality of life (LDQOL) and factors associated with LDQOL in adults with obesity and MASLD. Methods: This cross-sectional study included 169 adults with obesity (BMI ≥ 30 kg/m2) and MASLD. Dietary intake was assessed using a single 24 h recall, while habitual fructose exposure was estimated using a fructose consumption frequency questionnaire as the primary fructose variable. Insulin resistance and quality of life were assessed using HOMA-IR and LDQOL 1.0, respectively. A parsimonious multivariable linear regression model identified factors independently associated with LDQOL. Results: Questionnaire-derived fructose intake was modestly correlated with waist circumference (ρ = 0.26, p < 0.001), but this association was no longer significant after adjustment for total energy intake (partial ρ = 0.024, p = 0.761). Fructose intake was not associated with HOMA-IR or LDQOL. Mean HOMA-IR and LDQOL scores were 4.89 ± 3.81 and 50.94 ± 12.69, respectively. The multivariable model explained 27.7% of LDQOL variance (adjusted R2 = 0.236). Male sex was associated with higher LDQOL scores, whereas lunch skipping and higher HbA1c were associated with lower scores. Conclusions: The crude association between questionnaire-derived fructose intake and waist circumference was not retained after adjustment for total energy intake, and fructose intake was not associated with HOMA-IR or LDQOL. Associations of sex, lunch skipping, and glycaemic control with LDQOL warrant prospective confirmation and should not be interpreted as evidence that modifying these factors will improve quality of life.