Statistical analysis
Data analysis was performed using the SPSS version 26 (IBM SPSS Inc.). The Kolmogorov–Smirnov test was used to evaluate the normality of the data. Mean SD (standard deviation) and median (mid-quarter range) were used to describe quantitative variables and frequency report (percentage) for qualitative variables between case and control groups. Independent t-test was used to compare the mean of quantitative outcomes between the two groups. Chi-square test was used to compare qualitative factors between the two groups. ANCOVA test was used to adjust confounders such as age, body mass index (BMI) and energy intake. The comparison of the mean of quantitative variables between the tertiles of SAAs intakes was evaluated by ANOVA with GLM tests. Spearman correlation was also performed to examine the relationship between independent and outcome factors. For data analysis, the P-value <0.05 was considered statistically significant.

Results