The University of Southampton
University of Southampton Institutional Repository

Age, menstruation history, and the brain.

Age, menstruation history, and the brain.
Age, menstruation history, and the brain.
Objectives:
To investigate the cross-sectional association between measures of menstruation history (including menopausal status, age of menopause, age of menarche, and duration of reproductive stage) and brain volume.

Methods:
Women (aged 45 to 79 years) from the UK Biobank were included (n = 5,072) after excluding those who had (1) hysterectomy or bilateral oophorectomy, (2) ever used menopausal hormone therapy, (3) ever had a stroke, or (4) were perimenopausal. Multiple linear hierarchical regression models were computed to quantify the cross-sectional association between measures of menstruation history and brain volume. Sensitivity analysis based on propensity matching for age (and other demographic/health covariates) were applied to estimate differences in brain volumes between matched premenopausal and postmenopausal women.

Results:
Postmenopausal women had 1.06% (95% confidence interval [CI]; 1.05-1.06) and 2.17% (95% CI, 2.12-2.22) larger total brain volume (TBV) and hippocampal volumes (HV), respectively, than premenopausal women. Sensitivity analysis with age matched samples produced consistent results (TBV: 0.82%, 95% CI, 0.25-1.38; HV: 1.33%, 95% CI, 0.01-2.63). For every year increase in age above 45 years, postmenopausal women experienced 0.23% greater reduction in TBV than premenopausal women (95% CI, −0.60 to −0.14), which was not observed for HV. Moreover, every 1 year delayed onset of menopause after 45 was associated with 0.32% (95% CI, −0.35 to −0.28) and 0.31% (95% CI, −0.40 to −0.22) smaller TBV and HV, respectively. Every additional year in age of menarche was associated with 0.10% (95% CI, 0.04-0.16) larger TBV, which was not detected for HV. Similarly, every 1 year increase in duration of reproductive stage was associated with 0.09% smaller TBV (95% CI, −0.15 to −0.03), which was not detected for HV.

Conclusions:
Menopause may contribute to brain volume beyond typical aging effects. Furthermore, early age of menarche, delayed age of menopause and increasing duration of reproductive stage were negatively associated with brain volume. Further research is required to determine whether the negative association between age of menopause and HV is potentially an indicator of future vulnerability for dementia.
167-174
Ambikairajah, A
d6f3d544-28fd-4111-8148-d8a057f85c85
Tabatabaei-Jafari, H
d914f80d-4d51-4c1f-bd52-2d13c2622861
Hornberger, M
a48c1c63-422a-4c11-9a51-c7be0aa3026d
Cherbuin, N
3b6d40fe-c22c-4592-afda-2df111aa2dda
Ambikairajah, A
d6f3d544-28fd-4111-8148-d8a057f85c85
Tabatabaei-Jafari, H
d914f80d-4d51-4c1f-bd52-2d13c2622861
Hornberger, M
a48c1c63-422a-4c11-9a51-c7be0aa3026d
Cherbuin, N
3b6d40fe-c22c-4592-afda-2df111aa2dda

Ambikairajah, A, Tabatabaei-Jafari, H, Hornberger, M and Cherbuin, N (2020) Age, menstruation history, and the brain. Menopause, 28 (2), 167-174. (doi:10.1097/gme.0000000000001688).

Record type: Article

Abstract

Objectives:
To investigate the cross-sectional association between measures of menstruation history (including menopausal status, age of menopause, age of menarche, and duration of reproductive stage) and brain volume.

Methods:
Women (aged 45 to 79 years) from the UK Biobank were included (n = 5,072) after excluding those who had (1) hysterectomy or bilateral oophorectomy, (2) ever used menopausal hormone therapy, (3) ever had a stroke, or (4) were perimenopausal. Multiple linear hierarchical regression models were computed to quantify the cross-sectional association between measures of menstruation history and brain volume. Sensitivity analysis based on propensity matching for age (and other demographic/health covariates) were applied to estimate differences in brain volumes between matched premenopausal and postmenopausal women.

Results:
Postmenopausal women had 1.06% (95% confidence interval [CI]; 1.05-1.06) and 2.17% (95% CI, 2.12-2.22) larger total brain volume (TBV) and hippocampal volumes (HV), respectively, than premenopausal women. Sensitivity analysis with age matched samples produced consistent results (TBV: 0.82%, 95% CI, 0.25-1.38; HV: 1.33%, 95% CI, 0.01-2.63). For every year increase in age above 45 years, postmenopausal women experienced 0.23% greater reduction in TBV than premenopausal women (95% CI, −0.60 to −0.14), which was not observed for HV. Moreover, every 1 year delayed onset of menopause after 45 was associated with 0.32% (95% CI, −0.35 to −0.28) and 0.31% (95% CI, −0.40 to −0.22) smaller TBV and HV, respectively. Every additional year in age of menarche was associated with 0.10% (95% CI, 0.04-0.16) larger TBV, which was not detected for HV. Similarly, every 1 year increase in duration of reproductive stage was associated with 0.09% smaller TBV (95% CI, −0.15 to −0.03), which was not detected for HV.

Conclusions:
Menopause may contribute to brain volume beyond typical aging effects. Furthermore, early age of menarche, delayed age of menopause and increasing duration of reproductive stage were negatively associated with brain volume. Further research is required to determine whether the negative association between age of menopause and HV is potentially an indicator of future vulnerability for dementia.

This record has no associated files available for download.

More information

Accepted/In Press date: 8 September 2020
Published date: 2 October 2020

Identifiers

Local EPrints ID: 505099
URI: http://eprints.soton.ac.uk/id/eprint/505099
PURE UUID: 3f61b8eb-6767-4ff1-86c3-40acaf2eff2a
ORCID for M Hornberger: ORCID iD orcid.org/0000-0002-2214-3788

Catalogue record

Date deposited: 29 Sep 2025 16:45
Last modified: 30 Sep 2025 02:25

Export record

Altmetrics

Contributors

Author: A Ambikairajah
Author: H Tabatabaei-Jafari
Author: M Hornberger ORCID iD
Author: N Cherbuin

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×