TY - JOUR
T1 - Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later
AU - Schindler, Louise S
AU - Subramaniapillai, Sivaniya
AU - Ambikairajah, Ananthan
AU - Barth, Claudia
AU - Crestol, Arielle
AU - Voldsbekk, Irene
AU - Beck, Dani
AU - Gurholt, Tiril P
AU - Topiwala, Anya
AU - Suri, Sana
AU - Ebmeier, Klaus P
AU - Andreassen, Ole A
AU - Draganski, Bogdan
AU - Westlye, Lars T
AU - de Lange, Ann-Marie G
N1 - Funding Information:
The authors received funding from the Swiss National Science Foundation (PZ00P3_193658; TMPFP3_217174; NCCR Synapsy, project grants Nr 32003B_135679, 32003B_159780, 324730_192755, and CRSK-3_190185), the Leenaards Foundation, the Natural Sciences and Engineering Research Council of Canada, the Research Council of Norway (323961, 273345, 249795, 298646, 300768, 223273, 283799, 283798), the South-Eastern Norway Regional Health Authority (2018076, 2019101, 2017112, 2022080, 2022103, 2023037), the European Research Council under the European Union's Horizon 2020 research and innovation programme (802998, 732592, 847776), the HDH Wills 1965 Charitable Trust (1117747), the Alzheimer's Society (Grant Ref 441), and the Academy of Medical Sciences/the Wellcome Trust/the Government Department of Business, Energy and Industrial Strategy/the British Heart Foundation/Diabetes UK Springboard Award (SBF006\1078). The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z). Acknowledgments
Publisher Copyright:
2023 Schindler, Subramaniapillai, Ambikairajah, Barth, Crestol, Voldsbekk, Beck, Gurholt, Topiwala, Suri, Ebmeier, Andreassen, Draganski, Westlye and de Lange.
PY - 2023/12/21
Y1 - 2023/12/21
N2 - Introduction: The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology. Methods: In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40–70 years, n premenopausal = 3,529, n postmenopausal = 6,353). Furthermore, we examined whether these cardiometabolic factors were associated with WMH outcomes at the follow-up assessment, on average 8.78 years after baseline. Results: Postmenopausal females showed higher levels of baseline blood lipids (HDL (Formula presented.) = 0.14, p < 0.001, LDL (Formula presented.) = 0.20, p < 0.001, triglycerides (Formula presented.) = 0.12, p < 0.001) and HbA1c ((Formula presented.) = 0.24, p < 0.001) compared to premenopausal women, beyond the effects of age. Over time, BMI increased more in the premenopausal compared to the postmenopausal group ((Formula presented.) = −0.08, p < 0.001), while WHR increased to a similar extent in both groups ((Formula presented.) = −0.03, p = 0.102). The change in WHR was however driven by increased waist circumference only in the premenopausal group. While the group level changes in BMI and WHR were in general small, these findings point to distinct anthropometric changes in pre- and postmenopausal females over time. Higher baseline measures of BMI, WHR, triglycerides, blood pressure, and HbA1c, as well as longitudinal increases in BMI and WHR, were associated with larger WMH volumes ((Formula presented.) range = 0.03–0.13, p ≤ 0.002). HDL showed a significant inverse relationship with WMH volume ((Formula presented.) = −0.27, p < 0.001). Discussion: Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.
AB - Introduction: The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology. Methods: In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40–70 years, n premenopausal = 3,529, n postmenopausal = 6,353). Furthermore, we examined whether these cardiometabolic factors were associated with WMH outcomes at the follow-up assessment, on average 8.78 years after baseline. Results: Postmenopausal females showed higher levels of baseline blood lipids (HDL (Formula presented.) = 0.14, p < 0.001, LDL (Formula presented.) = 0.20, p < 0.001, triglycerides (Formula presented.) = 0.12, p < 0.001) and HbA1c ((Formula presented.) = 0.24, p < 0.001) compared to premenopausal women, beyond the effects of age. Over time, BMI increased more in the premenopausal compared to the postmenopausal group ((Formula presented.) = −0.08, p < 0.001), while WHR increased to a similar extent in both groups ((Formula presented.) = −0.03, p = 0.102). The change in WHR was however driven by increased waist circumference only in the premenopausal group. While the group level changes in BMI and WHR were in general small, these findings point to distinct anthropometric changes in pre- and postmenopausal females over time. Higher baseline measures of BMI, WHR, triglycerides, blood pressure, and HbA1c, as well as longitudinal increases in BMI and WHR, were associated with larger WMH volumes ((Formula presented.) range = 0.03–0.13, p ≤ 0.002). HDL showed a significant inverse relationship with WMH volume ((Formula presented.) = −0.27, p < 0.001). Discussion: Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.
KW - UK Biobank
KW - body anthropometrics
KW - brain health
KW - cardiometabolic health
KW - female health
KW - menopause
KW - white matter hyperintensities
UR - http://www.scopus.com/inward/record.url?scp=85182471162&partnerID=8YFLogxK
U2 - 10.3389/fgwh.2023.1320640
DO - 10.3389/fgwh.2023.1320640
M3 - Article
C2 - 38213741
SN - 2673-5059
VL - 4
SP - 1
EP - 13
JO - Frontiers in global women's health
JF - Frontiers in global women's health
M1 - 1320640
ER -