March 22nd, a Sunday, celebrates mothers around the world. Our lives are likely in tumult as you read this, and our fears and uncertainties cannot be minimised. But today, I’ll be honouring the women who hold the world together, in this time as in any other. In one of my heavier posts on this blog, I’ll tell you about what stops us from achieving health equity in motherhood and why health policy must serve mothers with the greatest attention and dignity.
140 million babies are born globally each year. That is hundreds of millions of mothers who need timely prenatal, perinatal, and neonatal care to allow their children, and themselves, to flourish. Today, we center our discussion on gestation, the period after conception and until birth when maternal and foetus health hang in a precarious balance. What groups are most at risk for a difficult pregnancy, and who have healthcare systems prioritised?*
1 Health outcomes
Childbearing can be complicated by a variety of clinical and biological factors. Medical conditions that can lead to a risky pregnancy include high blood pressure, polycystic ovary syndrome, diabetes, kidney, thyroid, and autoimmune diseases, obesity, and HIV/AIDS. The biggest biological risk factor for pregnancy is age at first birth. Many of these risk factors are socially patterned, meaning that socioeconomic position (SEP) significantly contributes to their unequal distribution in the population. I will give examples of each and present evidence for this inequality.
Clinical
First, high blood pressure during pregnancy causes preeclampsia, which restricts blood flow to the placenta and is the leading cause of maternal and infant death right before, during, and after birth. Researchers studied a group of nearly 10,000 mothers in the Netherlands and found that the least-educated among them had five times the risk for preeclampsia as the most well-educated. You argue that this could have been due to other factors related to developing high blood pressure, like diabetes or a woman’s previous pregnancies, but this relationship remained strong after “controlling” (statistically manipulating the data) for those factors that could modify the association. This is no coincidence.
Next, looking at obesity, which the World Health Organisation (WHO) defines as having a BMI above 30, we can also find a series of adverse outcomes. Women who carry extra weight during pregnancy are at higher risk for miscarriages, cardiovascular conditions, anaesthetic complications, and gestational diabetes (insulin resistance that specifically develops during, you guessed it, gestation). Here, we see a socioeconomic gap measured by a variety of factors in addition to the education level classification used above. In one Australian study of pregnant women where 18% of the participants were diagnosed with obesity, researchers found that the condition was associated with having a partner who was less educated and out of the workforce, being unmarried, and not owning one’s own house. Every one of these, and other “proxy measures” of socioeconomic position, had a statistically significant relationship with obesity. In short, this was no chance association, but an explainable one.
Our final clinical spotlight is on polycystic ovary syndrome, or PCOS. Even though this condition affects up to 10% of all reproductive-age women, you might have never heard of it before. PCOS is difficult to diagnose because it manifests in a variety of ways, such as excess body hair, irregular menstruation, and enlarged ovaries (contrary to what the name suggests, the syndrome does not involve ovarian cysts). Women with this diagnosis are at higher risk for miscarriage, gestational diabetes, and preterm birth. Studies suggest that low socioeconomic status, especially in childhood and adolescence, is associated with developing PCOS. This can be partially explained by the metabolic risk factors often coexisting with the syndrome such as insulin resistance, obesity, and high cholesterol, but we are unsure about how these two characteristics are linked otherwise.
This is the observational evidence. In describing the socioeconomic inequalities of these medical conditions, I have touched upon three common pathways that population health scientists use to explain the connection between SEP and health outcomes: respectively, the psychosocial, behavioural, and material mechanisms.
Why does the association between maternal education level and preeclampsia diagnosis remain after we control for known clinical (measurable) risk factors? It must be the inequality that sickens. This defines the psychosocial pathway, which combines the chronic stress of living with little means with the unavoidable notion that you are on lower down on the socioeconomic ladder than others. These psychological processes lead to body system changes that damage health.
How about the link between obesity and house ownership, among other measures? This is a little more straightforward. Because a high BMI results from an imbalance in the number of calories taken in and used up, a mother’s diet during gestation contributes to obesity. Just because individual behaviour is implicated in this instance, however, does not mean that we fail to consider the myriad societal factors that contribute to an unbalanced diet. Just like many smokers continue their behaviour even as they are aware of how devastating lung cancer is, pregnant women of a low socioeconomic position may not have the resources or time to obtain healthful foods (this is well-evidenced), which are less accessible and more expensive than their processed alternatives in the first place.
We can say much the same about the socioeconomic gradient in polycystic ovary syndrome incidence as we can about similar inequalities in high blood pressure, gestational diabetes, and other modifiable risk factors. But I consider the material pathway, specifically healthcare access, especially important with a lesser-known disorder like PCOS. Without concrete data to back up my claim, I imagine that an expectant mother with little disposable income and a demanding blue-collar job would be unwilling, nigh unable, to attend multiple doctor’s appointments to piece together a complex and misunderstood condition and finally obtain a diagnosis. The costs of transport and time could be difficult to handle. Therefore, I argue that the socioeconomic inequality in PCOS incidence is not entirely driven by true disease rates, but underdiagnosis in the most vulnerable mothers.
Biological
Teenage , or under-20, pregnancy poses health risks such as possible hypertension, anaemia, premature labour, and sexually-transmitted infections (STIs). In addition, having a child at young age limits educational and workforce opportunities, adding a financial and psychological burden to the lives of young women who may not have the resources to adequately handle parenthood. Teenage pregnancy can also be passed down generationally. In a literature review of 15 studies conducted in the U.S. that encompassed tens of thousands of subjects, researchers found an undeniable association between teen childbearing and disadvantaged scores on a variety of socioeconomic indicators, including income, employment status, and neighbourhood disorder.
Why is this? Studies suggest that more disadvantaged teens have higher discount rates, meaning that they place less consideration on future prospects and instead consider the present more important. Also considerable is the real or perceived lack of opportunity in a young woman’s community which can lead her to pursue the alternative route of childbearing. These processes are complex, and no one factor can elucidate the differing prevalences of teen pregnancy across socioeconomic strata. However, we can be optimistic here: at least in the United States, the number of teens who have children is decreasing every year.
2 Healthcare access
Now that we have identified the groups most at risk for pregnancy complications, we must look at who can access adequate healthcare. The ideal pathway through antenatal, or pre-birth care, involves appointments at 12 and 20 weeks to screen the foetus for anomalies. Further appointments at 30 weeks and beyond measure the health and development of the foetus. These are crucial to mitigate the risk of illness and death for the mother and baby. After all, the period in one’s life from birth until the age of one is often the most mortality-sensitive timeframe until middle age.
So who books these appointments on time? And to whom are they less accessible? Data from the UK shows that women who book appointments late are likely to live in a more deprived area (deprivation is a summary measure that includes an area’s education, housing, and health outcomes, crime rate, and employment), come from an ethnic minority group, have lower educational attainment, be obese, be very young, have a disability, and struggle with substance misuse, among myriad other factors. The actual barriers to access can stem from poor communication of information to patients, long waiting times, transportation costs, confidentiality concerns, difficulties with GP registration, and the attitudes and cultural backgrounds of healthcare staff.
And the question is not only about access. When healthcare, even clinically competent healthcare, is available, is it dignified? Does it treat all mothers fairly?
In a qualitative (as opposed to quantitative, or numbers-based) study in the U.S. about women’s experiences of maternity care, researchers discovered that one in six women in a racially and socioeconomically diverse sample had been victims of clinical mistreatment. These were no minor slights; they included such occurrences as violations of patient confidentiality and physical privacy, feeling forced to accept or withdraw a certain treatment by their healthcare provider, and being shouted at or scolded by their doctor. Aside from the unacceptable care given to these women in general, we can see that their mistreatment is unequally distributed. Women of low SEP were twice as likely to report being threatened by their doctor as women of middle or high SEP. Moreover, women in vulnerable groups such as survivors of intimate partner violence, those who had been incarcerated, and those with a history of substance use were even more likely to be mistreated, with one-third of these groups reporting violations of protocol. These underprivileged populations likely intersect.
Notice anything familiar? These underserved populations coincide with the groups described in Section 1, who, rarely by personal choice, will likely face a difficult pregnancy. This reminds me of the “inverse care law”, a principle asserting that those in the greatest need for healthcare seldom get the quality or quantity of care they warrant. Our maternity care systems are broken.
3 So What?
In studying the social determinants of health, researchers must make a careful contrast between inequalities and inequities. A clear distinction has not been set out, but many think of inequalities as differences between groups that can exist without seeming unjust. If genetics, an inevitable factor, leads to worse health outcomes for one mother than another, this disparity is unfortunate but not inequitable. If, on the other hand, modifiable risk factors such as social class, health behaviours, or age at first birth bring about massive differences in maternal health outcomes, this may well be inequitable. Something can be done about these differences. To put it better, we can do something.
If we cannot construct equitable, actionable health policy for our societies’ most important members, we should be ashamed. There is so much I have not mentioned: the ethnic and racial disparities in maternity services access and health, the physical and practical accessibility of health services for mothers with disabilities, the unique challenges single mothers face in pregnancy, and the list goes on. For each of the groups that are negatively impacted by our current healthcare systems, there will be individuals who are unable to reach their own or their children’s potential through no fault of their own.
We owe our greatest thanks to our birthgivers. Without them, we would be nothing.
___________________________
As for mine?
She has braved earthquakes and hurricanes, the bitter winters of Moscow and the gritty deserts of Upper Egypt. She has slammed a garage door on her index finger and dialled the ambulance with the same hand, blood oozing onto every surface.
She was once a fantastic high jumper. She has taken American doctors around China, improving her English as she commented on every historical site. And she had good enough taste to be enamoured by a skinny bespectacled guy studying education and journalism who always got the best grades.
She is obsessed with the darkest of chocolate that nobody else likes. She is terrible at cake decorating, though no worse than yours truly. She read ancient poetry to my toddler self in the hope that I would memorise it, which I never did. She took more notes than me when I went to Chinese harp lessons, and knew my pieces better than I. She has attended every concert, even when I’ve been on stage for only five minutes, and once sat on the balcony for three nights of a musical to get a better view of me in the orchestra.
妈妈,you terrify me when I don’t listen. But you make me feel like the luckiest thing alive with your encouragement, humour, and love. Love not expressed extravagantly, or spoken about often, but declared through immaculately sliced watermelon and second grade tears-and-tantrums homeschooling and strange medicinal concoctions that I question. All I will have done through my university career will make a better world for you, because you deserve it the most. 您是最伟大的。**
Happy Mother’s Day to you and yours! May you be reminded of your loved ones’ embraces even as you are physically apart. Please take care of yourselves during this time, physically and mentally, and remember that we are all doing the best we can. Monitor official sources of information such as the World Health Organisation and your country’s respective health departments, such as the UK’s Department of Health and Social Care. If you need help, do not hesitate to reach out to family, friends (my own ears and arms are wide open!), and support services available through your school, university, employer, or charitable organisations. I hope you all stay well and in good spirits.
*Given my focus on relative, rather than absolute, socioeconomic disadvantage, my analysis of the social determinants of maternal health and healthcare focuses on high-income economies. I will expound upon the unique challenges of motherhood in the global South and low-income areas in the future as I do further research.
**Rough English translation: You (similar to “vous” in French) are the greatest [most incredible, most humbling, most respected]. No literal translation possible!
Here are a variety of sources I consulted:
https://www.nichd.nih.gov/health/topics/high-risk/conditioninfo/factors
https://ourworldindata.org/births-and-deaths
Preeclampsia:
https://insights.ovid.com/crossref?an=00004872-200806000-00020
Obesity:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989730/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165994/
PCOS:
https://www.fertstert.org/article/S0015-0282(16)61278-5/pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3115419/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433074/
Teen pregnancy:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562742/#!po=23.6842
Maternity care mistreatment:
https://reproductive-health-journal.biomedcentral.com/track/pdf/10.1186/s12978-019-0729-2
And the most important source of all: my phenomenal lectures in modules such as “Social Determinants of Health”, which you will need to join the BSc in Population Health to experience!