Gillian Goddard

6 min Read Gillian Goddard

Gillian Goddard

What We Know About Menopause in Black Women

A look at the SWAN study

Gillian Goddard

6 min Read

This week we recognize Black Maternal Health Week, a time to draw attention to and discuss solutions to the racial disparities in pregnancy complications and maternal mortality in the United States. While this is critically important, racial differences in women’s health are not isolated to pregnancy and the postpartum period. The menopausal transition is another point in women’s lives when Black women’s experiences differ in important ways from those of women of other races. 

For many years, research into the menopausal transition was based largely on retrospective studies of women who presented to doctors and clinics with symptoms. The literature was very focused on symptom management and less focused on the broader health implications of the menopause. Additionally, the data did not include women with decreased access to medical care, particularly women of color. We did not know if the results of these studies applied to women of all races.

That is why the Study of Women’s Health Across the Nation (SWAN) was created — to fully understand how the menopausal transition impacts all aspects of women’s health and how women of different races experience it. In understanding these differences, we hope to improve quality of life and long-term health for all women. 

What is SWAN, and why is it important?

SWAN is a multicenter longitudinal study that enrolled more than 3,000 women between the ages of 42 and 52 in 1996 and 1997. To be eligible, women had to have a uterus and at least one ovary, have had a menstrual period and not have used hormone therapy in the previous three months, and not be pregnant. Researchers have followed these women annually for more than 25 years now. 

What is unique about SWAN is that women of color were very intentionally enrolled specifically to help answer the question of how the experience of the menopausal transition and its repercussions for women’s health vary among women of different races and ethnicities. At three study centers, half of the women enrolled were Black. At two centers, half of the women enrolled were of Chinese and Japanese descent. Subsequently, data from SWAN and a number of ancillary studies have resulted in nearly 600 publications. 

What does SWAN tell us about the menopausal transition in Black women?

In 2022 a review of the data regarding the Black participants in SWAN and its ancillary studies was published. The data the authors presented reflect a number of important differences in how Black women experience menopause. 

Data from SWAN suggest that Black women have their last menstrual period on average 8.5 months earlier than white women do. When researchers controlled for factors like smoking, overall health, education, and employment, this difference was reduced to 3.1 months. Smoking status, education level, and employment status have all been associated with a woman’s age at her last menstrual period, likely because they reflect her overall health. 

Sixty percent of women regardless of race experience vasomotor symptoms (VMS — the medical term for hot flushes and night sweats) at some point during the menopausal transition. Data from SWAN show that the Black participants experienced VMS earlier in the menopausal transition than other study participants, they have more hot flushes, and the length of time during which they have VMS is longer. 

Black participants were also more likely than white participants to have depressive symptoms at baseline. And they were more likely to experience new depression during a seven-year ancillary study of mental health. But when the researchers controlled for education, health, socioeconomic strain, social support, and stressful life events, this difference disappeared. 

This makes intuitive sense. Life stressors like lack of money, poor health, and the death of a relative could all trigger depressive symptoms, all of which were more common among the Black participants. But Black women were also less likely than white women to receive treatment for their symptoms, in the form of talk therapy or medication.

Black and white SWAN participants experienced similar degrees of sleep disruption, both self-reported and on objective studies of sleep quality. In an ancillary study of sleep, sleep-disordered breathing (like sleep apnea) was more frequent among the Black participants and was associated with an increased level of inflammatory markers like C-reactive protein. Poor sleep and sleep apnea are increasingly recognized as risk factors for a whole host of health problems. 

Why do these differences matter?

Understanding these differences is important not only to address the symptoms that Black women experience more often to improve their quality of life, but also because many of the differences are associated with negative health outcomes after menopause. All women are at increased risk for diabetes and heart disease after menopause, but Black women are at even greater risk. 

The Black SWAN participants were more likely to have diabetes and metabolic syndrome — the name we give to the combination of obesity, high fasting blood sugar, cholesterol changes, and/or high blood pressure. They were also more likely to develop diabetes and metabolic syndrome over the course of the study. Add to that, Black women are on average experiencing menopause earlier, so their risk of diabetes and heart disease rises at a younger age. This all paints a rather dire picture of Black women’s health at midlife.  

How can we use this data to improve the health and well-being of future generations of Black women? 

The authors of the review paper note that the women enrolled in the study were born between 1944 and 1954, when discrimination was legally sanctioned, and came of age during the civil rights era. They hypothesize that some of the differences we see between Black and white women in the data may result from the structural racism that impacted the Black SWAN participants’ access to education, jobs, and health care, all of which may still be affecting their health today.  

We also know that Black women still face increased financial and social stress and decreased access to medical care in disproportionate numbers. My hope is that defining and discussing the disparities we see in the data from SWAN will lead to evidence-based changes in public policy and our medical system to close this gap.

I would call on doctors like myself, who see patients in the office day after day, to use this information in our work with the Black women who have entrusted us with their health to provide them with the best data-driven care. 

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I hear from many of you that the information on ParentData makes you feel seen. Wherever you are on your journey, it’s always helpful to know you’re not alone. 

Drop an emoji in the comments that best describes your pregnancy or parenting searches lately… 💤🚽🍻🎒💩

I hear from many of you that the information on ParentData makes you feel seen. Wherever you are on your journey, it’s always helpful to know you’re not alone.

Drop an emoji in the comments that best describes your pregnancy or parenting searches lately… 💤🚽🍻🎒💩
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It has been a busy summer for the team at ParentData. I’d love to take a moment here to celebrate the 400k milestone. As I’ve said before, it’s more important than ever to put good data in the hands of parents. 

Share this post with a friend who could use a little more data, and a little less parenting overwhelm. 

📷 Me and my oldest, collaborating on “Expecting Better”

Milestones. We celebrate them in pregnancy, in parenting, and they’re a fun thing to celebrate at work too. Just a couple years ago I couldn’t have foreseen what this community would grow into. Today, there are over 400,000 of you here—asking questions, making others feel seen wherever they may be in their journey, and sharing information that supports data > panic.

It has been a busy summer for the team at ParentData. I’d love to take a moment here to celebrate the 400k milestone. As I’ve said before, it’s more important than ever to put good data in the hands of parents.

Share this post with a friend who could use a little more data, and a little less parenting overwhelm.

📷 Me and my oldest, collaborating on “Expecting Better”
...

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Comment “link” for an article with other tools to help you navigate risk and uncertainty.

#emilyoster #parentdata #riskmanagement #parentstruggles #parentingstruggles

I spend a lot of time talking people down after they read the latest panic headline. In most cases, these articles create an unnecessary amount of stress around pregnancy and parenting. This is my pro tip for understanding whether the risk presented is something you should really be worrying about.

Comment “link” for an article with other tools to help you navigate risk and uncertainty.

#emilyoster #parentdata #riskmanagement #parentstruggles #parentingstruggles
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Original thread source: Reddit @croc_docs

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Original thread source: Reddit @croc_docs
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Just keep wiping.

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🌶️ 37% have found their sweet spot and are happy with the frequency of s e x they are having
🌶️ About 64% of respondents were very or somewhat satisfied with the quality of the s e x they are having

Do any of these findings surprise you? Let us know in the comments!

#hotflash #intimacy #midlifepleasure #parentdata #relationships

Dr. Gillian Goddard sums up what she learned from the Hot Flash S e x Survey! Here are some key data takeaways:

🌶️ Among respondents, the most common s e x u a l frequency was 1 to 2 times per month, followed closely by 1 to 2 times per week
🌶️ 37% have found their sweet spot and are happy with the frequency of s e x they are having
🌶️ About 64% of respondents were very or somewhat satisfied with the quality of the s e x they are having

Do any of these findings surprise you? Let us know in the comments!

#hotflash #intimacy #midlifepleasure #parentdata #relationships
...

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#parentdata #emilyoster #flyingwithkids #flyingwithbaby #carseats #carseatsafety

Should your kid be in a car seat on the plane? The AAP recommends that you put kids under 40 pounds into a car seat on airplanes. However, airlines don’t require car seats.

Here’s what we know from a data standpoint:
✈️ The risk of injury to a child on a plane without a carseat is very small (about 1 in 250,000)
✈️ A JAMA Pediatrics paper estimates about 0.4 child air crash deaths per year might be prevented in the U.S. with car seats
✈️ Cars are far more dangerous than airplanes! The same JAMA paper suggests that if 5% to 10% of families switched to driving, then we would expect more total deaths as a result of this policy.

If you want to buy a seat for your lap infant, or bring a car seat for an older child, by all means do so! But the additional protection based on the numbers is extremely small.

#parentdata #emilyoster #flyingwithkids #flyingwithbaby #carseats #carseatsafety
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SLEEP DATA 💤 PART 2: Let’s talk about naps. Comment “Link” for an article on what we learned about daytime sleep!

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Note: Survey data came from the ParentData audience and users of the Nanit sleep monitor system. Both audiences skew higher-education and higher-income than the average, and mostly have younger children. The final sample is 14,919 children. For more insights on our respondents, read the full article.

SLEEP DATA 💤 PART 2: Let’s talk about naps. Comment “Link” for an article on what we learned about daytime sleep!

The first three months of life are a chaotic combination of irregular napping, many naps, and a few brave or lucky souls who appear to have already arrived at a two-to-three nap schedule. Over the next few months, the naps consolidate to three and then to two. By the 10-to-12-month period, a very large share of kids are napping a consistent two naps per day. Over the period between 12 and 18 months, this shifts toward one nap. And then sometime in the range of 3 to 5 years, naps are dropped. What I think is perhaps most useful about this graph is it gives a lot of color to the average napping ages that we often hear.

Note: Survey data came from the ParentData audience and users of the Nanit sleep monitor system. Both audiences skew higher-education and higher-income than the average, and mostly have younger children. The final sample is 14,919 children. For more insights on our respondents, read the full article.
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Tag a Dad who this holiday may be tricky for. We’re sending you love. 💛

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Tag a Dad who this holiday may be tricky for. We’re sending you love. 💛
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“Whilst googling things like ‘new dad sad’ and ‘why am I crying new dad,’ I came across an article written by a doctor who had trouble connecting with his second child. I read the symptoms and felt an odd sense of relief.” Today we’re bringing back an essay by Kevin Maguire of @newfatherhood about his experience with paternal postpartum depression. We need to demystify these issues in order to change things for the better. Comment “Link” for a DM to read his full essay.

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Head to the newsletter for more and stay tuned for part two next week on naps! 🌙

#parentdata #emilyoster #childsleep #babysleep #parentingcommunity

SLEEP DATA 💤 We asked you all about your kids’ sleep—and got nearly 15,000 survey responses to better understand kids’ sleep patterns. Comment “Link” for an article that breaks down our findings!

This graph shows sleeping location by age. You’ll notice that for the first three months, most kids are in their own sleeping location in a parent’s room. Then, over the first year, this switches toward their own room. As kids age, sharing a room with a sibling becomes more common.

Head to the newsletter for more and stay tuned for part two next week on naps! 🌙

#parentdata #emilyoster #childsleep #babysleep #parentingcommunity
...

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#parentdata #parentdatapodcast #parentingpodcast #parentingtips #emilyoster

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Comment “Link” to subscribe to ParentData with Emily Oster, joined by some excellent guests.

#parentdata #parentdatapodcast #parentingpodcast #parentingtips #emilyoster
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