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Waist size, not body mass index, may be more predictive of coronary artery disease

Study investigates association between obesity type and obstructive artery disease in postmenopausal women

Date:
August 28, 2019
Source:
The North American Menopause Society (NAMS)
Summary:
For years, women have been told that weight gain could lead to heart disease. A new study indicates that it is the location of the fat that matters most, with abdominal fat representing the greatest harm and not overall body mass index (BMI) when assessing risk for coronary artery disease (CAD).
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For years, women have been told that weight gain could lead to heart disease. A new study indicates that it is the location of the fat that matters most, with abdominal fat representing the greatest harm and not overall body mass index (BMI) when assessing risk for coronary artery disease (CAD). Results are published online today in Menopause, the journal of The North American Menopause Society (NAMS).

Because CAD remains the leading cause of death worldwide, there is tremendous attention given to its modifiable risk factors. Estrogen protects women's cardiovascular systems before menopause, which helps explain why the incidence of CAD in premenopausal women is lower than in men. However, as women's estrogen levels decline during and after menopause, the incidence of CAD in postmenopausal women outpaces similarly aged men.

Obesity has long been known as a risk factor for CAD because it causes endothelial cell dysfunction, insulin resistance, and coronary atherosclerosis, among other problems. It also is often accompanied by other cardiovascular risk factors, such as hypertension and diabetes. In the past, it has been suggested that overall obesity (which is often defined by BMI) is a primary risk factor. Few studies have attempted to compare the effect of overall obesity versus central obesity, which is typically described by waist circumference and/or waist-to-hip ratio.

The results of this new study of nearly 700 Korean women, however, demonstrated that the presence of obstructive CAD was significantly higher in women with central obesity. No significant difference was identified based on BMI, indicating that overall obesity was not a risk factor for obstructive CAD. These results are especially relevant for postmenopausal women because menopause causes a change in body fat distribution, especially in the abdominal area.

"The findings of this study are consistent with what we know about the detrimental effects of central obesity. Not all fat is the same, and central obesity is particularly dangerous because it is associated with risk for heart disease, the number one killer of women. Identifying women with excess abdominal fat, even with a normal BMI, is important so that lifestyle interventions can be implemented," says Dr. Stephanie Faubion, NAMS medical director.


Story Source:

Materials provided by The North American Menopause Society (NAMS). Note: Content may be edited for style and length.


Journal Reference:

  1. Jun Hwan Cho, Hack-Lyoung Kim, Myung-A Kim, Sohee Oh, Mina Kim, Seong Mi Park, Hyun Ju Yoon, Mi Seung Shin, Kyung-Soon Hong, Gil Ja Shin, Wan-Joo Shim. Association between obesity type and obstructive coronary artery disease in stable symptomatic postmenopausal women. Menopause, 2019; 1 DOI: 10.1097/GME.0000000000001392

Cite This Page:

The North American Menopause Society (NAMS). "Waist size, not body mass index, may be more predictive of coronary artery disease." ScienceDaily. ScienceDaily, 28 August 2019. <www.sciencedaily.com/releases/2019/08/190828140103.htm>.
The North American Menopause Society (NAMS). (2019, August 28). Waist size, not body mass index, may be more predictive of coronary artery disease. ScienceDaily. Retrieved December 26, 2024 from www.sciencedaily.com/releases/2019/08/190828140103.htm
The North American Menopause Society (NAMS). "Waist size, not body mass index, may be more predictive of coronary artery disease." ScienceDaily. www.sciencedaily.com/releases/2019/08/190828140103.htm (accessed December 26, 2024).

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