Additional file 3 of Exogenous female sex steroid hormones and new-onset asthma in women: a matched case–control study
Creators: name: Zhang, Guoqiang
name: Basna, Rani
name: Mathur, Maya B.
name: Lässer, Cecilia
name: Mincheva, Roxana
name: Ekerljung, Linda
name: Wennergren, Göran
name: Rådinger, Madeleine
name: Lundbäck, Bo
name: Kankaanranta, Hannu
name: Nwaru, Bright I.
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 3: Section 1. Supplementary methods and results for the Frequentist analysis of hormonal contraceptives and new-onset asthma in women. Table S1. Background characteristics of the responded new-onset asthma cases and matched controls in WSAS in 2009–2016. Figure S1. Age distribution at baseline in 2008 among the responded women (N = 353). Figure S2. Age at first use of hormonal contraceptives in 261 women. Figure S3. Age at asthma diagnosis among 32 cases. Figure S4. Ever use of hormonal contraceptives (compared to never use) and new-onset asthma in women. Figure S5. Comparison between women who had data on the incomplete variables and those who did not with respect to auxiliary variables. Figure S6. Healthy convergence for the incomplete variables. Figure S7. The distribution of use of hormonal contraceptives in the observed data and in the m = 100 imputed datasets. Figure S8. Kernel density estimates for the marginal distributions of the observed data for age at menarche and the m = 100 densities calculated from the imputed data. Figure S9. The distribution of gynecological condition in the observed data and in the m = 100 imputed datasets. Figure S10. The distribution of level of education in the observed data and in the m = 100 imputed datasets. Figure S11. Odds ratios for ever use of hormonal contraceptives (compared to never use) and new-onset asthma among all women (N = 831) across the m = 100 imputed datasets. Section 2. Supplementary methods and results for the Frequentist analysis of menopausal hormone therapy and new-onset asthma in menopausal women. Figure S12. Age at first use of menopausal hormone therapy in 32 women. Figure S13. Age at asthma diagnosis among 13 cases. Figure S14. Ever use of menopausal hormone therapy (compared to never use) and new-onset asthma in menopausal women. Figure S15. Comparison between women who had data on the incomplete variables and those who did not with respect to auxiliary variables. Figure S16. Healthy convergence for the incomplete variables. Figure S17. The distribution of use of menopausal hormone therapy in the observed data and in the m = 100 imputed datasets. Figure S18. Kernel density estimates for the marginal distributions of the observed data for age at menopause and the m = 100 densities calculated from the imputed data. Figure S19. The distribution of physical exercise in the observed data and in the m = 100 imputed datasets. Figure S20. Kernel density estimates for the marginal distributions of the observed data for body mass index and the m = 100 densities calculated from the imputed data. Figure S21. The distribution of level of education in the observed data and in the m = 100 imputed datasets. Figure S22. The distribution of environmental smoke in the observed data and in the m = 100 imputed datasets. Figure S23. The distribution of gynecological condition in the observed data and in the m = 100 imputed datasets. Figure S24. Odds ratios for ever use of menopausal hormone therapy (compared to never use) and new-onset asthma among all menopausal women (N = 409) across the m = 100 imputed datasets.