Modelling short- and long-term characteristics of follicle stimulating hormone as predictors of severe hot flashes in the Penn Ovarian Aging Study

• Published in: Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 64; no. 5; pp. 731 - 753
• Main Authors: Jiang, Bei, Wang, Naisyin, Sammel, Mary D., Elliott, Michael R.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.11.2015; John Wiley & Sons Ltd; Oxford University Press
• Subjects: Bayesian penalized B-splines; Biometrics; Degrees of freedom; Follicles; Functional regression; Health risk assessment; Health risks; Hormones; Hot flash; Hot flashes; Increased risk window; Induced substructures; Joint modelling; Menopause; Ovaries; P values; Public health; Robust inference; Short- and long-term characteristics; Statistical analysis; Statistical variance; Studies; Time windows; Womens health; robust inference; Joint modeling; Bayesian penalized B splines; functional regression; increased risk window; short- and long-term characteristics
• ISSN: 0035-9254; 1467-9876
• DOI: 10.1111/rssc.12102

The Penn Ovarian Aging Study tracked a population-based sample of 436 women aged 35—47 years to determine associations between reproductive hormone levels and menopausal symptoms. We develop a joint modelling method that uses the individual level longitudinal measurements of follicle stimulating hormone (FSH) to predict the risk of severe hot flashes in a manner that distinguishes long-term trends of the mean trajectory, cumulative changes captured by the derivative of mean trajectory and short-term residual variability. Our method allows the potential effects of longitudinal trajectories on the health risks to vary and accumulate over time. We further utilize the proposed methods to narrow the critical time windows of increased health risks. We find that high residual variation of FSH is a strong predictor of hot flash risk, and that the high cumulative changes of the FSH mean trajectories in the 52.5—55-year age range also provides evidence of increased risk over that of short-term FSH residual variation by itself.