Additional file 1 of Associations between an obesity-related dietary pattern and incidence of overall and site-specific cancers: a prospective cohort study
Creators: name: Maimaitiyiming, Maiwulamujiang
name: Yang, Hongxi
name: Zhou, Lihui
name: Zhang, Xinyu
name: Cai, Qiliang
name: Wang, Yaogang
Publisher: name: figshare
Year: 2024
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Additional file 1: Table S1. The contents of food groups. TableS2. ICD-10 code of 19 types of cancer. Table S3. Missing values and proportionsof covariates. Table S4. Explained variationin response variables for eachobesity-related dietary pattern as assessed using reduced rank regression andcorrelation coefficient between obesity-related dietary patterns and responsevariables. Table S5. Multivariable HRs and 95% CIs of the effect of dietarypattern on total and 19 site-specific cancers from, complete case analysis,excluding first 2 years incident cancer case, only including participants with5 times dietary assessments, and considering competing risk of non-cancerdeath. Table S6. Association between dietary pattern overall and site-specificcancers by sex. Table S7. Association between dietary pattern overall and site-specificcancers by age group. Table S8. Association between dietary pattern overall andsite-specific cancers by smoking status. Table S9. Association between dietarypattern overall and site-specific cancers by physical activity. Table S10. Association between dietary pattern overall and site-specific cancers bydiabetes. Table S11. Association between dietary pattern overall and site-specificcancers by hypertension. Table S12. Association between dietary pattern overalland site-specific cancers by cardiovascular diseases. Table S13. Associations ofthe dietary patterns with overall and site-specific cancers separately usingobesity indicators at intermediate timepoint and metabolic syndrome componentsas response variables. Table S14. Associations of the dietary pattern withoverall and site-specific cancers among those with completing one or moredietary assessments. Figure S1. Estimated population attributable fractionfunction over 10 years for overall cancer survival time in the UK Biobankdatasettogether with point-wise 95% confidence intervals. Figure S2. Factor loadings for obesity-related dietary patterncalculated by using reduced rank regression using obesity indicators atintermediate timepoint as response variables. Figure S3. Factor loadings forobesity-related dietary pattern calculated by using reduced rank regressionusing metabolic syndrome components as response variables. Figure S4. Factorloadings for obesity-related dietary pattern calculated by using reduced rankregression among people with 1+ times of 24-h online dietary assessments in theUK Biobank. Figure S5. Factor loadings for obesity-related dietary patterncalculated by using reduced rank regression among people with 3+ times of 24-honline dietary assessments in the UK Biobank. Figure S6. Factorloadings for obesity-related dietary pattern calculated by using reduced rankregression among people with 4+ times of 24-h online dietary assessments in theUK Biobank. Figure S7. Factor loadings for obesity-related dietarypattern calculated by using reduced rank regression among people with 5 timesof 24-h online dietary assessments in the UK Biobank.