Literature DB >> 20082925

Are changes in cardiovascular disease risk factors in midlife women due to chronological aging or to the menopausal transition?

Karen A Matthews1, Sybil L Crawford, Claudia U Chae, Susan A Everson-Rose, Mary Fran Sowers, Barbara Sternfeld, Kim Sutton-Tyrrell.   

Abstract

OBJECTIVES: This prospective study examined whether changes in traditional and novel coronary heart disease (CHD) risk factors are greater within a year of the final menstrual period (FMP), relative to changes that occur before or after that interval, in a multiethnic cohort.
BACKGROUND: Understanding the influence of menopause on CHD risk remains elusive and has been evaluated primarily in Caucasian samples.
METHODS: SWAN (Study of Women's Health Across the Nation) is a prospective study of the menopausal transition in 3,302 minority (African American, Hispanic, Japanese, or Chinese) and Caucasian women. After 10 annual examinations, 1,054 women had achieved an FMP not due to surgery and without hormone therapy use before FMP. Measured CHD risk factors included lipids and lipoproteins, glucose, insulin, blood pressure, fibrinogen, and C-reactive protein. We assessed which of 2 models provided a better fit with the observed risk factor changes over time in relation to the FMP: a linear model, consistent with chronological aging, or a piecewise linear model, consistent with ovarian aging.
RESULTS: Only total cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B demonstrated substantial increases within the 1-year interval before and after the FMP, consistent with menopause-induced changes. This pattern was similar across ethnic groups. The other risk factors were consistent with a linear model, indicative of chronological aging.
CONCLUSIONS: Women experience a unique increase in lipids at the time of the FMP. Monitoring lipids in perimenopausal women should enhance primary prevention of CHD.

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Year:  2009        PMID: 20082925      PMCID: PMC2856606          DOI: 10.1016/j.jacc.2009.10.009

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  28 in total

1.  Measures of menopausal status in relation to demographic, reproductive, and behavioral characteristics in a population-based study of women aged 35-49 years.

Authors:  G S Cooper; D D Baird; F R Darden
Journal:  Am J Epidemiol       Date:  2001-06-15       Impact factor: 4.897

2.  Factors associated with age at natural menopause in a multiethnic sample of midlife women.

Authors:  E B Gold; J Bromberger; S Crawford; S Samuels; G A Greendale; S D Harlow; J Skurnick
Journal:  Am J Epidemiol       Date:  2001-05-01       Impact factor: 4.897

3.  Weight gain and the menopause: a 5-year prospective study.

Authors:  J R Guthrie; L Dennerstein; E C Dudley
Journal:  Climacteric       Date:  1999-09       Impact factor: 3.005

4.  Longitudinal study of risk factors for coronary heart disease across the menopausal transition.

Authors:  K A Do; A Green; J R Guthrie; E C Dudley; H G Burger; L Dennerstein
Journal:  Am J Epidemiol       Date:  2000-03-15       Impact factor: 4.897

5.  Impaired fasting glycaemia in middle-aged women: a prospective study.

Authors:  J R Guthrie; M Ball; E C Dudley; C V Garamszegi; M L Wahlqvist; L Dennerstein; H G Burger
Journal:  Int J Obes Relat Metab Disord       Date:  2001-05

6.  Changes in cardiovascular risk factors during the perimenopause and postmenopause and carotid artery atherosclerosis in healthy women.

Authors:  K A Matthews; L H Kuller; K Sutton-Tyrrell; Y F Chang
Journal:  Stroke       Date:  2001-05       Impact factor: 7.914

7.  Sex and age differences in lipoprotein subclasses measured by nuclear magnetic resonance spectroscopy: the Framingham Study.

Authors:  David S Freedman; James D Otvos; Elias J Jeyarajah; Irina Shalaurova; L Adrienne Cupples; Helen Parise; Ralph B D'Agostino; Peter W F Wilson; Ernst J Schaefer
Journal:  Clin Chem       Date:  2004-04-23       Impact factor: 8.327

8.  Lipid changes during the menopause transition in relation to age and weight: the Study of Women's Health Across the Nation.

Authors:  Carol A Derby; Sybil L Crawford; Richard C Pasternak; Maryfran Sowers; Barbara Sternfeld; Karen A Matthews
Journal:  Am J Epidemiol       Date:  2009-04-08       Impact factor: 4.897

9.  Variation in nutrient intakes by ethnicity: results from the Study of Women's Health Across the Nation (SWAN).

Authors:  Mei-Hua Huang; Miriam Schocken; Gladys Block; MaryFran Sowers; Ellen Gold; Barbara Sternfeld; Teresa Seeman; Gail A Greendale
Journal:  Menopause       Date:  2002 Sep-Oct       Impact factor: 2.953

10.  Menopause and the risk of coronary heart disease in women.

Authors:  G A Colditz; W C Willett; M J Stampfer; B Rosner; F E Speizer; C H Hennekens
Journal:  N Engl J Med       Date:  1987-04-30       Impact factor: 91.245

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  203 in total

1.  Executive summary of the Stages of Reproductive Aging Workshop + 10: addressing the unfinished agenda of staging reproductive aging.

Authors:  Siobán D Harlow; Margery Gass; Janet E Hall; Roger Lobo; Pauline Maki; Robert W Rebar; Sherry Sherman; Patrick M Sluss; Tobie J de Villiers
Journal:  J Clin Endocrinol Metab       Date:  2012-02-16       Impact factor: 5.958

Review 2.  Cardiovascular disease and primary ovarian insufficiency.

Authors:  Melissa Wellons
Journal:  Semin Reprod Med       Date:  2011-10-03       Impact factor: 1.303

3.  The relationship of menopausal status and rapid menopausal transition with carotid intima-media thickness progression in women: a report from the Los Angeles Atherosclerosis Study.

Authors:  B Delia Johnson; Kathleen M Dwyer; Frank Z Stanczyk; Vera Bittner; Sarah L Berga; Glenn D Braunstein; Ricardo Azziz; YuChing Yang; Georgina E Hale; C Noel Bairey Merz
Journal:  J Clin Endocrinol Metab       Date:  2010-06-16       Impact factor: 5.958

4.  Modeling perimenopause in Sprague-Dawley rats by chemical manipulation of the transition to ovarian failure.

Authors:  Jennifer B Frye; Ashley L Lukefahr; Laura E Wright; Sam L Marion; Patricia B Hoyer; Janet L Funk
Journal:  Comp Med       Date:  2012-06       Impact factor: 0.982

5.  Cholesterol Efflux Capacity and Subclasses of HDL Particles in Healthy Women Transitioning Through Menopause.

Authors:  Samar R El Khoudary; Patrick M Hutchins; Karen A Matthews; Maria M Brooks; Trevor J Orchard; Graziella E Ronsein; Jay W Heinecke
Journal:  J Clin Endocrinol Metab       Date:  2016-07-11       Impact factor: 5.958

6.  The impact of gender on cardiovascular system calcification in very elderly patients with severe aortic stenosis.

Authors:  Luckmini Liyanage; Nam Ju Lee; Tessa Cook; Howard C Herrmann; Dinesh Jagasia; Harold Litt; Yuchi Han
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-29       Impact factor: 2.357

7.  Meal preparation and cleanup time and cardiometabolic risk over 14 years in the Study of Women's Health Across the Nation (SWAN).

Authors:  Bradley M Appelhans; Eisuke Segawa; Imke Janssen; Lisa M Nackers; Rasa Kazlauskaite; Ana Baylin; John W Burns; Lynda H Powell; Howard M Kravitz
Journal:  Prev Med       Date:  2014-12-06       Impact factor: 4.018

8.  Serial Studies in Subclinical Atherosclerosis During Menopausal Transition (from the Study of Women's Health Across the Nation).

Authors:  Zubair A Khan; Imke Janssen; Joanne K Mazzarelli; Lynda H Powell; Andrius Dumasius; Susan A Everson-Rose; Emma Barinas-Mitchell; Karen Matthews; Samar R El Khoudary; Perry J Weinstock; Steven M Hollenberg
Journal:  Am J Cardiol       Date:  2018-07-04       Impact factor: 2.778

9.  Increase HDL-C level over the menopausal transition is associated with greater atherosclerotic progression.

Authors:  Samar R El Khoudary; Lin Wang; Maria M Brooks; Rebecca C Thurston; Carol A Derby; Karen A Matthews
Journal:  J Clin Lipidol       Date:  2016-04-26       Impact factor: 4.766

10.  Follicle-stimulating hormone, but not cardiorespiratory fitness, is associated with flow-mediated dilation with advancing menopausal stage.

Authors:  Corinna Serviente; Sarah Witkowski
Journal:  Menopause       Date:  2019-05       Impact factor: 2.953

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