Additional file 1 of Socioeconomic differences in metabolic syndrome development: examining the mediating role of chronic stress using the Lifelines Cohort Study
Creators: name: Hoveling, Liza A.
name: Liefbroer, Aart C.
name: Bültmann, Ute
name: Smidt, Nynke
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Additional file 1: Supplementary Figure 1. Graphical representation of measurements of the key variables in the study. Supplementary Figure 2. Flowchart of the selection of the study population. Supplementary Table 1. Measurements in the Lifelines Cohort Study of the variables used in the analyses. Supplementary Table 2. Chronic stress characteristics of the study population in questionnaires T2, T3 and T4. Supplementary Table 3. Baseline characteristics of the baseline population (n = 120,177) and a comparison of the study population (n = 53,216) and the participants excluded (n = 66,961). Supplementary Table 4. Baseline characteristics of the Lifelines Cohort Study (n = 152,728) and a comparison of the study population (n = 53,216) and the participants excluded (n = 99,512). Supplementary Table 5. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development in the study population (n = 53,216). Supplementary Table 6. Multivariable mediation analysis of chronic stressa in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method in the study population (n = 53,216). Supplementary Table 7. Interaction coefficients of sex*chronic stress in the multivariable logistic regression analysis between chronic stress and metabolic syndrome development (n = 53,216). Supplementary Table 8. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development among participants who did not use medication at T4 (n = 31,358). Supplementary Table 9. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among participants who did not use medication at T4 (n = 31,358). Supplementary Table 10. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development among participants with more than 30% missings on variables (n = 85,957). Supplementary Table 11. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among participants with more than 30% missings on variables (n = 85,957). Supplementary Table 12. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stressa, and metabolic syndrome development among complete cases (n = 41,455). Supplementary Table 13. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among complete cases (n = 41,455). Supplementary Table 14. Interaction coefficients of sex*SEP in the multivariable logistic regression analyses between socioeconomic position measures and metabolic syndrome development in the study population (n = 53,216).