Wednesday, May 04, 2022

Boosts access reliability in wireless communications


Scientists propose RIS technology for grant-free massive access in wireless communications

Peer-Reviewed Publication

TSINGHUA UNIVERSITY PRESS

RIS-assisted grant-free massive access scenario 

IMAGE: ILLUSTRATION OF AN RIS-ASSISTED GRANT-FREE MASSIVE ACCESS IN A SMART FACTORY, WHERE A CLUSTER OF RIS SUBARRAYS WORKING IN THE REFRACTION MODE ARE DEPLOYED ON THE WALL OF THE FACTORY. view more 

CREDIT: INTELLIGENT AND CONVERGED NETWORKS

With the emerging Internet-of-Things, that holds promise for operating everything from smart homes to smart cities, fifth-generation wireless communication must be able to handle the demands for low delay and high reliability. To meet these demands, researchers propose the use of reconfigurable intelligent surface technology for grant-free massive access to boost the reliability of the access in wireless communication.

 

The team, led by researchers from Beijing Institute of Technology, published their findings on April 29 in the journal Intelligent and Converged Networks at DOI: https://doi.org/10.23919/ICN.2022.0009.

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Massive machine-type communications (mMTC) is vital to fifth-generation (5G) wireless communication. In mMTC, the communication between machines over wired and wireless networks takes place with little or no intervention from humans. The emerging Internet-of-Things requires this kind of communication with minimal delay and high reliability. In the Internet of Things, machines, sensors, and robots have to be connected to run technologies ranging from smart home security systems to wearable health monitors to wireless inventory trackers to biometric cybersecurity scanners.

 

To meet the demands of the Internet of Things applications demanding low latency and high reliability, grant-free random access has been proposed as a promising enabler that can simplify the connection procedures and significantly reduce access delays. With grant-free random access, channel resources can be accessed without undergoing a handshake process.

 

The research team is exploring the reconfigurable intelligent surface (RIS) as a possible solution to these demands. An RIS is a programmable structure where the electric and magnetic properties of the surface can be changed. “We propose to leverage the burgeoning reconfigurable intelligent surface for grant-free massive access working at millimeter-wave frequency to further boost access reliability,” said Xingyu Zhou, lead study author from the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology.

 

Scientists have viewed RIS as an enabling technology for next generation wireless communication networks because of its ability to substantially improve the link quality and the coverage range. An RIS consists of numerous programmable passive elements with ultra-low power consumption and low hardware costs. The RIS can reconfigure the propagation of incident electromagnetic waves by attaching phase shifts that can be controlled independently controllable for each element.

 

The team studied a scenario that involved a cluster of RIS subarrays operating in reflection mode to assist the grant-free massive access in a smart factory. The RIS subarrays offer an additional degree of freedom and the appropriate refraction matrices design. In the grant-free access models, the most challenging problems are active device detection (ADD) and channel estimation (CE), called joint-ADDCE or JADDCE. By using theoretical derivation, where the scientists draw conclusions from other known assumptions, the team was able to show that the challenging JADDCE problem in this context has the same mathematical form as the traditional grant-free massive access. So they used the efficient approximate message passing (AMP) algorithm, to overcome the JADDCE challenges. Finally, to demonstrate the effectiveness and superiority of their proposed scheme, the team carried out numerical simulations to compare their scheme with the state-of-the-art solutions. Their scheme improved the access channel conditions and enhanced the quality of access services in the smart factory scenario.

 

Looking ahead the team members see the potential for wide-ranging applications. “Our proposed scheme can be widely used in the future Internet of Things network, such as in smart factories or smart cities, to enhance the efficiency of massive access,” Zhou said. “In future work, we will further exploit the powerful AI tool to implement signal processing more efficiently. Meanwhile, we will evaluate the effectiveness of our proposed scheme from more dimensions and indicators.”

 

The members of the research team include Xingyu Zhou, Keke Ying, Shicong Liu, Malong Ke, Zhen Gao, and Mohamed-Slim Alouini.

 

The paper is also available on SciOpen (https://www.sciopen.com/home) by Tsinghua University Press.

 

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About Intelligent and Converged Networks 

 

Intelligent and Converged Networks is an international specialized journal that focuses on the latest developments in communication technology. The journal is co-published by Tsinghua University Press and the International Telecommunication Union (ITU), the United Nations specialized agency for information and communication technology (ICT). Intelligent and Converged Networks draws its name from the accelerating convergence of different fields of communication technology and the growing influence of artificial intelligence and machine learning.

 

About SciOpen 

 

SciOpen is a professional open access resource for discovery of scientific and technical content published by the Tsinghua University Press and its publishing partners, providing the scholarly publishing community with innovative technology and market-leading capabilities. SciOpen provides end-to-end services across manuscript submission, peer review, content hosting, analytics, and identity management and expert advice to ensure each journal’s development by offering a range of options across all functions as Journal Layout, Production Services, Editorial Services, Marketing and Promotions, Online Functionality, etc. By digitalizing the publishing process, SciOpen widens the reach, deepens the impact, and accelerates the exchange of ideas.

Timing, among other factors, improves aging in next-generation wireless communications


Peer-Reviewed Publication

TSINGHUA UNIVERSITY PRESS

An RIS-assisted communication system with K mobile users. 

IMAGE: A MULTI-USER MISO COMMUNICATION SYSTEM IS CONSIDERED, WHERE A BS EQUIPPED WITH NT ANTENNAS SERVES K (K < NT) SINGLE-ANTENNA USERS. THE COMMUNICATION IS ASSISTED BY AN RIS COMPRISING OF M NEARLY-PASSIVE REFLECTING ELEMENTS AND ONE RIS MICRO-CONTROLLER. WE ASSUME THAT THE BS AND THE RIS KEEP STATIC AND THE USERS ARE MOVING WITH THE SAME VELOCITY. view more 

CREDIT: INTELLIGENT AND CONVERGED NETWORKS

In wireless communications, channels can not only change, but they can also age. For contemporary systems, these connections between the transmitter and the receiver break down over time, user movement and power dissipation. Understanding how channels age in future systems, as well as how to mitigate such issues, are key to developing the next generation of wireless communications, according to an international collaboration studying the topic in reconfigurable intelligent surface (RIS)-assisted systems.

 

They published an analysis of how RIS-assisted communication systems perform under channel aging on April 29 in Intelligent and Converged Networks at DOI: https://doi.org/10.23919/ICN.2022.0002.

 

RISs are arrays comprising individually programmable and controlled circuits that can dynamically reflect signals and may be the linchpin platform to achieve 6G wireless communications, according to first author Yan Zhang, School of Electronic and Information Engineering, Beijing Jiaotong University.

 

“Investigating the performance of RIS-assisted communication systems under the condition of channel aging can verify whether deploying an RIS in a wireless communication system can reduce the adverse impact of channel aging on system performance and how much performance gain it can bring,” Zhang said. “This is helpful to provide a theoretical basis for the system optimization design of RIS-assisted communication systems.”

 

All three components of the communication system can move: the RIS may be a satellite, the base station moves as the Earth rotates and the users are unpredictably mobile. Add in modifications to the communication environment, such as physical barriers or weather interference, and the channels of communication will continuously change over time.

 

“These factors lead to the so-called channel aging phenomenon where the channels vary across time with correlated channel variables in a transmission,” Zhang said. “Channel aging results in a mismatch between the current and estimated channels that degrades the system performance. But, to the best of our knowledge, there is a lack of studies on the impact of channel aging on RIS-assisted communications systems. Since RIS will help evolve wireless communication, it is of great importance to analyze how RISs can improve the channel quality with user mobility.”

 

The researchers examined how deploying an RIS in a wireless communication system affects the adverse impact of channel aging on system performance. They modeled a system in which a base station simultaneously sends signals to an RIS and to individual cell phone users. The RIS reflects the signal to the same users, duplicating and strengthening the signal. In this model, the RIS and base station are stationary while the users are moving in a single direction at the same velocity, such as on a highway.

 

The system mathematically estimates the best channel to send a signal, depending on location, movement, potential barriers and several other factors. The channel varies from the time it is estimated to when it is used to send or detect the signal — this is the aging phenomenon.  

 

“Due to the existence of an extra end-to-end signal propagation path established by the RIS, we found that RISs can reduce the adverse effects of channel aging on the communication system, as well as improve the overall system performance, compared to systems without an RIS,” Zhang said, “Moreover, the system performance improved as the total transmit power and the number of antennas at the base station, the number of the RIS’s reflecting elements and the temporal correlation coefficient increased.”

 

But, Zhang said, while the RIS can increase transmission capacity by adding reflecting elements, it does not have infinite capacity since it will eventually become saturated.

 

“This analysis is helpful in providing a theoretical basis for the system optimization design of RIS-assisted communication systems,” Zhang said. “The study can be further generalized along with several promising future work directions, as well. For example, we can apply this approach to the study of spatially correlated fading and more efficient channel estimation methods, to name just a few.”

 

Other contributors include Huahua Xiao, ZTE Corporation, State Key Laboratory of Mobile Network and Mobile Multimedia Technology; Jiayi Zhang, School of Electronic and Information Engineering, Beijing Jiaotong University; Bo Ai, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiatong University; and Derrick Wing Kwan Ng, School of Electrical Engineering and Telecommunications, University of New South Wales.

 

The National Key Research and Development Program of China, the National Natural Science Foundation of China, the Beijing Natural Science Foundation, the Natural Science Foundation of Jiangsu Province, the Royal Society Newton Advanced Fellowship, the Frontiers Science Center for Smart High-Speed Railway System, the Project of China Shenhua, the Fundamental Research Funds for the Central Universities in China, ZTE Corporation, the State Key Laboratory of Mobile Network and Mobile Multimedia Technology, the UNSW Digital Grid Futures Institute and the Australian Research Council’s Discovery Project funded this research.

 

The paper is also available on SciOpen (https://www.sciopen.com/home) by Tsinghua University Press.

 

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About Intelligent and Converged Networks 

 

Intelligent and Converged Networks is an international specialized journal that focuses on the latest developments in communication technology. The journal is co-published by Tsinghua University Press and the International Telecommunication Union (ITU), the United Nations specialized agency for information and communication technology (ICT). Intelligent and Converged Networks draws its name from the accelerating convergence of different fields of communication technology and the growing influence of artificial intelligence and machine learning.

 

About SciOpen 

 

SciOpen is a professional open access resource for discovery of scientific and technical content published by the Tsinghua University Press and its publishing partners, providing the scholarly publishing community with innovative technology and market-leading capabilities. SciOpen provides end-to-end services across manuscript submission, peer review, content hosting, analytics, and identity management and expert advice to ensure each journal’s development by offering a range of options across all functions as Journal Layout, Production Services, Editorial Services, Marketing and Promotions, Online Functionality, etc. By digitalizing the publishing process, SciOpen widens the reach, deepens the impact, and accelerates the exchange of ideas.

The promise and challenge of reconfigurable intelligent surfaces

Peer-Reviewed Publication

TSINGHUA UNIVERSITY PRESS

The world is more connected than ever before, with reliable and consistent wireless communications transmitting to and from individual users — but the technology is evolving to something even better, according to an international research team.

 

They published an overview of the next-generation technology, called reconfigurable intelligent surfaces (RISs) on April 29 in Intelligent and Converged Networks at DOI: https://doi.org/10.23919/ICN.2022.0007.

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A RIS is an array of dynamic yet passive elements that can be individually and independently controlled to precisely direct a transmission signal from a base station to a mobile user.

 

“The RIS is an emerging technology, which will hopefully bring a new revolution in wireless communications,” said paper author Muhammad Siddiqi, a graduate student in electronics engineering at Tsinghua University. “RIS has gained enormous attention in recent years by researchers of different communities, and therefore, several research papers have been published in this regard. However, there are still some important open problems that need to be solved.”

 

In this paper, the researchers provide a comprehensive survey on the emerging RIS technology and discuss key aspects from existing research, including challenges. From detailing RIS models to probing basic transmission principles in the context of RIS to examining prototyped RIS-aided communication systems, the researchers emphasize the promise of RIS while simultaneously stressing caution.

 

“To provide deep insight on the individual topics, we have given some examples to show the importance of RIS technology in future wireless systems,” said paper author Talha Mir, assistant professor of electronic engineering, Balochistan University of Information Technology, Engineering, and Management Sciences. “We also highlighted the key challenges and provided some opportunities to guide readers for future research trends in the field of RIS-aided communications.”  

 

For example, RISs differ from conventional antenna arrays because they do not perform complex signal processing on incoming transmissions to send them to the intended receiver. Instead, they simply reflect the transmitted signal from the base station to the mobile user. The individual cell units of the RIS are passive unless one needs to be adjusted to achieve the correct angle for a particular signal. Even that adjustment, however, does not require complex processing.

 

“RIS technology does not incur additional noise while retransmitting the incident wave, which is a substantially unique feature from conventional wireless communication systems,” Siddiqi said. “That’s one new opportunity RISs bring to researchers in the fields of information theory, electromagnetics, wireless communications and signal processing.”

 

While the opportunities exist, so do the challenges, the researchers said. RIS may not add noise to a signal, but the best approach to estimating and transmitting along a channel remains debatable.

 

“The channel model of a RIS is still controversial, since some analytical results in existing papers have not been verified by experiments yet,” Mir said. “We are not yet sure, among existing available models, which one will be the best choice for practical scenarios.”

 

The researchers found the same cautious optimizing in several other areas of RIS research, including performance analysis and RIS implementation, among others.

 

“It is expected that RIS will be an important research topic in the years to come as it has the potential to create a new horizon in the field of wireless communications,” Mir said. “We believe that RIS technology will become an integral part of future wireless communications, once we answer some important yet challenging questions.”

 

The paper is also available on SciOpen (https://www.sciopen.com/home) by Tsinghua University Press.

 

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About Intelligent and Converged Networks 

 

Intelligent and Converged Networks is an international specialized journal that focuses on the latest developments in communication technology. The journal is co-published by Tsinghua University Press and the International Telecommunication Union (ITU), the United Nations specialized agency for information and communication technology (ICT). Intelligent and Converged Networks draws its name from the accelerating convergence of different fields of communication technology and the growing influence of artificial intelligence and machine learning.

 

About SciOpen 

 

SciOpen is a professional open access resource for discovery of scientific and technical content published by the Tsinghua University Press and its publishing partners, providing the scholarly publishing community with innovative technology and market-leading capabilities. SciOpen provides end-to-end services across manuscript submission, peer review, content hosting, analytics, and identity management and expert advice to ensure each journal’s development by offering a range of options across all functions as Journal Layout, Production Services, Editorial Services, Marketing and Promotions, Online Functionality, etc. By digitalizing the publishing process, SciOpen widens the reach, deepens the impact, and accelerates the exchange of ideas.

 

How a bot beamed from California to Japan may prevent cancer patients from losing their breasts unnecessarily

Peer-Reviewed Publication

GLOBAL ALLIANCE FOR GENOMICS AND HEALTH

Too many women are getting unnecessary mastectomies and other invasive procedures because of a knowledge gap about differences in cancer genes. A new study offers a path to closing the gap.

 

Nearly a decade ago, Angelina Jolie made famous that preventative mastectomies can help women with BRCA gene mutations — changes that alter gene function. These women may have more than four times higher than normal chances of getting breast cancer. Mutations in BRCA genes can also increase risks for ovarian, pancreatic, and prostate cancer.

 

Far fewer headlines covered the fact that around 40% of changes to the BRCA1 and BRCA2 genes are a black box. Are these gene variants harmful, harmless, or somewhere in between? Scientists don’t fully know — and that carries consequences.

 

“The evidence is that people with variants of uncertain significance are overtreated, because people just see it as a bit of a red flag and can’t help thinking it must be important,” said Amanda Spurdle, a cancer epidemiologist at QIMR Berghofer Medical Research Institute near Brisbane, Australia. 

 

A 2017 study found up to half of surgeons prescribed the same treatment whether a BRCA variant was uncertain or known to cause disease. Women with uncertain variants commonly underwent double mastectomies, a painful procedure with serious risks. Other cancer treatments, like ovary removals, may prevent people from having children. (People of all genders may be tested and treated for BRCA gene mutations.)

 

Even just receiving genetic test results indicating “variant of uncertain significance” can lead to anxiety in both patients and their clinicians. 

 

Researchers have the tools to crack which variants are harmful or harmless. But they lack the raw materials, which are locked away in highly-protected databases of people’s genomes and medical records.

 

Share the data recklessly, and depending on where they live, patients could risk losing their jobs, health insurance, civil liberties, and trust in healthcare. Scientists could run afoul of the EU’s General Data Protection Regulation (GDPR) and other rules that carry serious penalties for infractions.

 

Keep the data completely private, and thousands of people may undergo difficult treatments, such as losing their breasts and ovaries, for no reason — or find out about their serious risk of cancer far too late.

 

Now, for the first time, researchers have used a data-sharing innovation called “federated analysis” to categorise 16 uncertain variants as benign or likely benign.

 

Patients with those variants may be able to skip invasive and irrevocable surgeries. 

 

“Those women can let out a big sigh of relief and go on with their lives,” said Melissa Cline, senior author on the paper and a University of California, Santa Cruz research scientist. Cline serves on the Steering Committee of the Global Alliance for Genomics & Health (GA4GH), the international genomic standards-setting organisation.

 

A GLOBAL SOLUTION COMMENCES OVER COFFEE

 

Several years ago, Cline co-founded the BRCA Exchange to share the latest findings on which variants cause harm, format the data using GA4GH standards so everyone can understand them, and share crucial information with patients and clinicians. GA4GH helped launch the Exchange as one of its Driver Projects, now championed by Spurdle and Cline.

 

But the team ran into a problem. Mystery variants often crop up in just a handful of individuals per dataset, or none at all. To confidently label a variant harmful or benign, researchers don’t just need more data — they need to link up more databases, in order to better approximate the world’s great genetic diversity. 

 

“The global approach to variant interpretations is really important, because you may get information from one dataset that you wouldn’t get from another,” said Spurdle, who co-authored the new paper. 

 

“So if you found a rare variant in, say, African Americans, but then you see it’s extremely common in Outer Mongolia, that straightaway tells you it can’t be causing higher risk of breast cancer or ovarian cancer,” she said.

 

Yet many genomic studies overwhelmingly look at people with European ancestry, an imbalance compared to global populations.

 

In October 2018, BRCA Exchange leaders travelled to Basel, Switzerland, for the Plenary Meeting of GA4GH. 

 

During a coffee break, one of Cline’s collaborators spotted Yukihide Momozawa, an investigator at Japan’s RIKEN Center for Integrative Medical Sciences, and they started chatting. Did Momozawa know about the BRCA Exchange’s database of variants? What kind of data could he share from his recent study of 7,051 Japanese women confirming several harmful variants for breast cancer?

 

That conversation over coffee sparked a collaboration to link up databases in order to better understand tricky variants. 

 

But a major hurdle remained: Momozawa could not transfer the BioBank Japan data. Due to government privacy regulations, records of patient health, tumours, and genetics almost never left the RIKEN servers in the seaside city of Yokohama, south of Tokyo. 

 

8,361 kilometres away in the redwood forests of California, Cline turned to a pioneering new approach: federated analysis.

 

BRINGING CALIFORNIA CODE TO JAPANESE DATA

 

With enormous potential to speed the rise of medical treatments tailored precisely to people’s genes, federated analysis is a clever idea.

 

Instead of downloading health data to your own computer, or convincing institutions to pool their patient records in a central hub — each a political and ethical minefield — you bring your code to the data.

 

“Data custodians rightly need to protect the data in their care and respect the consent and governance associated with that data,” said Susan Fairley, GA4GH Chief Standards Officer. “Through a ‘pipelines to the data’ model, data custodians retain control over data use and access, while researchers can minimise time-consuming data transfers.” 

 

In California, Cline and her team assembled a “container” — a virtual computational machine or “bot” that could visit Momozawa’s data and run a series of tests. The bot relied on standard ways of describing health data, including the GA4GH Variant Call File Formats. The researchers shared their software on Dockstore, enabling researchers around the world to find and apply it using the Tool Registry Service (TRS).

 

To ensure their bot followed the rules while visiting RIKEN’s data, the Santa Cruz team consulted with Adrian Thorogood, formerly the GA4GH Regulatory & Ethics Work Stream Manager.

 

“GA4GH frameworks like the Ethics Review and Recognition Policy are important for federated analysis, because it becomes a bit blurred who’s doing the research and, thus, which institution’s research ethics board should be overseeing it,” said Thorogood, now a research and development specialist in law and ethics at the University of Luxembourg.

 

“The federated approach potentially simplifies trust for individuals,” he added. “They know that there’s only one copy of their data, maintained by an organisation they’ve actually interacted with, rather than having to trust unknown institutions around the world.”

 

Once filled with all the key components, the container docked in Yokohama. 

 

“One important issue was to make sure the software behaved in our institute as it was developed to behave,” said Momozawa.

 

His team ran the software on RIKEN servers and collaborated with the Santa Cruz group to fix a few problems. They also conducted crosschecks to show the analysis was sound.

 

“We were able to use tumour pathology data to replicate a table in one of Momo’s earlier papers to verify that the software was working properly,” said Cline, referring to Momozawa by nickname.

 

Next, the bot sent its findings another 7,140 kilometres to the QIMR Berghofer Medical Research Institute, near the skyscraper-lined banks of the Brisbane River.

 

“We received summary information,” said Spurdle. “We wouldn’t know what the patient ID numbers were — we just knew that there were, say, three people with one variant who’d had breast tumours and were 40 to 45 years old.”

 

Spurdle and colleagues used a number of statistical tricks to comb through the summary data and find new evidence about whether or not a variant would cause cancer.

 

“Our collaboration yielded better interpretation of several variants, contributing to better personalised medicine,” Momozawa said. That included the 16 variants of previously uncertain significance, now clearly labelled “benign” or “likely benign.”

 

Finally, the knowledge journeyed back across the Pacific to Santa Cruz, where it was added to the BRCA Exchange database. Patients with those variants can now feel more confident about their true risks when deciding about surgeries and other procedures.

 

SHARING KNOWLEDGE WITHOUT SHARING YOUR DATA

 

Federated analysis is poised to help fill the genetic risk knowledge gap — leading to fewer unnecessary medical treatments, and more patients discovering their danger in time.

 

And not just for breast cancer: the Canadian CanDIG and African, Canadian, and European CINECA projects use federation to build large networks of health data to help tackle heart conditions, infectious disease, and beyond.

 

Cline and Spurdle see great potential for federated analysis to open up knowledge in many locations, from diagnostic companies, to the ENIGMA Consortium for analysis of variants in breast-ovarian cancer genes, to stores of human samples in Europe locked away by GDPR data privacy laws.

 

“If we can get our friend Momo to do this, then maybe we could go to our friend, say, in Saudi Arabia who had a dataset they couldn’t release,” said Spurdle.

 

Because the bot the team developed uses the GA4GH Workflow Execution Service (WES), its software can communicate with different computing and cloud environments around the world. 

 

To make this kind of technical knowhow for visiting data more widely available, GA4GH is actively building federated analysis tools into a regularly-updated Starter Kit for researchers.

 

“The work of Melissa Cline and collaborators is a great example of why global data sharing is so important. Information from around the world, when shared, can massively improve our capacity to interpret genomic variation — to the benefit of everyone. It is to support this type of work that GA4GH creates standards and policies that will let researchers responsibly access information, including through federated analysis,” said Fairley, the GA4GH CSO.

 

“Through initiatives to further integrate our standards and apply them to real-world problems, such as through the Federated Analysis Systems Project (FASP), we hope to support the development of the global, standardised infrastructure needed to see the full benefits of genomics for human health,” added Fairley.

 

All told, it took a round-trip journey of 26,881 kilometres to arrive at an improved understanding of the genetics of breast cancer. Yet intimate details of bodies and lives stayed exactly where patients left them. 

 

“For a number of collaborators, they cannot release protected data from their building, let alone their country. Federated analysis looks like a great route forward for allowing those scientists to share knowledge from their data,” said Cline.

More formal education may translate to better health for Black women

Peer-Reviewed Publication

MEDICAL COLLEGE OF GEORGIA AT AUGUSTA UNIVERSITY

More formal education may translate to better health for Black women 

IMAGE: DR. JUSTIN X. MOORE view more 

CREDIT: MICHAEL HOLAHAN, AUGUSTA UNIVERSITY

AUGUSTA, Ga. (May 3, 2022) – One of the best things Black women can do for their health may be to get a college education, according to results of a national analysis.

“Essentially what this study observed was that for Black women, the higher your education level, the lower your allostatic load,” says Dr. Justin Xavier Moore, epidemiologist at the Medical College of Georgia and Georgia Cancer Center, referencing the impact the wear and tear of chronic stress and life have on the body and health.

Investigators led by Moore looked at data on 4,177 Black women ages 18 and older from the National Health and Nutrition Examination Survey, or NHANES, collected between 1999-2018.

While Black women have generally been shown to have higher allostatic loads than other race-gender groups, including Black men, higher education appears to help reduce their load, Moore and his colleagues report in the journal BMC Women’s Health.

High allostatic load is considered to have a broad, negative impact on the body including accelerating aging, memory decline and increasing the risk for top killers like cardiovascular disease and cancer.

The investigators found that Black women with a college or higher degree had a 14.3% lower prevalence of high allostatic load compared to their counterparts with less formal education; an 18% lower prevalence when compared to those with less than a high school education.

Women with higher education represented nearly 18% of the women in the study overall. In general, they also had a lower number of pregnancies, fewer reports of depressive disorder, fewer smokers and a lower mean waist circumference. They also reported fewer health problems like chest pain and heart attack.

Even controlling for age, poverty status and underlying chronic diseases, the investigators found that Black women without a college degree had a higher prevalence of higher allostatic load.

Even women who report high racial discrimination rates have lower allostatic loads if they have more formal education, the investigators write.

Others have shown that Black women with lower levels of formal education have higher levels of the stress hormone, epinephrine, or adrenaline, and a larger waist circumference but few studies have looked specifically at educational attainment, rather included education more broadly in the context of socioeconomic status, Moore says.

Their study does not say that education causes a low allostatic load, it says they are associated, Moore notes. 

Their findings do further confirm that higher education is a social determinant of health, Moore says, which the Centers for Disease Control and Prevention defines as “conditions in the places where people live, learn, work and play that affect a wide-range of health and quality of life risks and outcomes.”

For the study, allostatic load was defined as the total of abnormal measures of eight indicators of health that include top and bottom blood pressure numbers, total cholesterol and triglyceride levels in the blood, body mass index, or BMI, (height to weight ratio), glycosylated hemoglobin levels (higher levels indicate a higher blood sugar level, a risk for diabetes), blood levels of creatinine (an indicator of kidney function) and albumin (an indicator of kidney and liver function as well as inflammation and infection).

They examined a broad array of health data like age of onset of menses, number of pregnancies and bouts of depressive disorder, smoking status and diagnosed physical illnesses like cancer and heart failure, as well as factors like income.

More study is needed to further explore issues like the specific degrees the women obtained and the overarching issue of how more education might mitigate allostatic load. That includes further exploring issues like the “superwoman schema,” often attributed to Black women, which reportedly can both positively and negatively affect their health as they strive to put a strong front to the world and sacrifice to help others.

“If we really want to understand why this is happening, then we need to do cohort studies where we follow people over time,” Moore says, assessing biomarkers at the onset and then over time put together which factors contributed to a high allostatic load.

Hypotheses could include because the college-educated women likely have higher incomes, they have health insurance and can more likely pay to see a mental health professional if they need help dealing with their stress, Moore says. You may also be more likely to have a place and the time to go for a walk or run to release stress, he says, while a lower socioeconomic status means less options in terms of coping. “If you have a lower income, you may barely be able to afford anything. You are just trying to make it from day to day. You don’t have the money, or time or ability to get to the resources,” Moore says.

Moore was a coauthor on a paper published in the International Journal of Environmental Research and Public Health this year that also found Black men with college degrees have a lower prevalence of high allostatic load than those with lower levels of educational attainment.

In a study published last year in the journal Preventive Medicine, Moore and his colleagues used the same data source, NHANES, to look at allostatic load over 30 years in 50,671 individuals and found adults age 40 and older had more than a twofold increase over that period, and that regardless of the time period, Black and Latino adults has an increased risk of a high allostatic load over their white counterparts. Black and Latino women had the highest allostatic scores. “At age 20, their allostatic load was comparable to their 30-year-old counterparts,” says Moore, a trend that persisted throughout their life course.

NHANES is a CDC program that uses physical examinations and interviews to assess the health and nutritional status of adults and children in the United States.

The research was funded by the National Institute on Minority Health and Health Disparities.

Read the full study.