Exploring the Ovarian Reserve Within Health Parameters: A Latent Class Analysis

Theresa M. Hardy*, Mauricio Garnier-Villarreal, Donna O. McCarthy, Richard A. Anderson, Rebecca M. Reynolds

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The process of ovarian aging is influenced by a complex and poorly understood interplay of endocrine, metabolic, and environmental factors. The purpose of this study was to explore the feasibility of using latent class analysis to identify subgroups based on cardiometabolic, psychological, and reproductive parameters of health and to describe patterns of anti-Müllerian hormone levels, a biomarker of the ovarian reserve, within these subgroups. Sixty-nine lean (body mass index [BMI] ⩽ 25 kg/m2) and severely obese (BMI ⩾ 40 kg/m2) postpartum women in Edinburgh, Scotland, were included in this exploratory study. The best fitting model included three classes: Class 1, n = 23 (33.5%); Class 2, n = 30 (42.2%); Class 3, n = 16 (24.3%). Postpartum women with lower ovarian reserve had less favorable cardiometabolic and psychological profiles. Examining the ovarian reserve within distinct subgroups based on parameters of health that affect ovarian aging may facilitate risk stratification in the context of ovarian aging.

Original languageEnglish
Pages (from-to)1903-1918
Number of pages16
JournalWestern Journal of Nursing Research
Volume40
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018
Externally publishedYes

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research reported in this dissertation was partially supported by the National Institute of Nursing Research of the National Institutes of Health under award number F31NR016621.

FundersFunder number
National Institutes of Health
National Institute of Nursing ResearchF31NR016621
Office of Extramural Research, National Institutes of Health

    Keywords

    • cardiometabolic
    • latent class analysis
    • ovarian reserve
    • psychological

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