Additional file 1: of Biological age as a useful index to predict seventeen-year survival and mortality in Koreans Jinho Yoo Yangseok Kim Eo Cho Sun Jee 10.6084/m9.figshare.c.3659165_D1.v1 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Biological_age_as_a_useful_index_to_predict_seventeen-year_survival_and_mortality_in_Koreans/4523903 Table S1. Inclusion criteria of cause of death for the study. Table S2. Overall distribution of biomarkers. Table S3. Number of deceased subjects according to cause of death and gender. Table S4. Influence of age difference (AgeDiff) on the mortality. Table S5. Hazard ratios for men according to chronological age subgroups and cause of death. Table S6. Hazard ratios for women according to chronological age subgroups and cause of death. Table S7. Hazard ratios for three age difference subgroups (AgeDiff) according to chronological age subgroups and gender when the event was death by cancer and non-cancerous disease. Figure S1. Distributions of percentage of deceased subjects according to gender, age difference (AgeDiff), and cause of death. Figure S2. Kaplan-Meier survival plots when the event was death by cancer or non-cancer disease. Figure S3. Kaplan-Meier survival plots when the event was death by cancer + non-cancer disease. Figure S4. Kaplan-Meier survival plots when the event was death by cancer. Figure S5. Kaplan-Meier survival plots when the event was death by non-cancer disease. (DOCX 678 kb) 2017-01-05 05:00:00 Biological age Biomarkers Chronological age Cox regression Mortality Risk of death