Listen to this Post
Introduction: When Women’s Health Advice Begins With the Wrong Reference Point
Menopause is one of the most significant biological transitions in a woman’s life. It can reshape metabolism, bone health, muscle mass, cardiovascular risk, sleep, mood, and nutritional needs. Yet a controversy surrounding a menopause nutrition guide in Spain has raised an uncomfortable question: what happens when recommendations intended for women are partly built on research conducted exclusively on men?
The Spanish Agency for Food Safety and Nutrition, AESAN, is now reviewing its report on diet and healthy habits during menopause after criticism from women researchers and scientists. The concern is not simply about a technical footnote or an academic disagreement. It goes much deeper. Some of the nutritional recommendations in the document, including references involving nutrients such as iron and vitamin C, were based on European Food Safety Authority research that relied on male populations without clearly warning readers about that limitation.
For many critics, the controversy represents a familiar problem in medical and scientific research. The male body has often been treated as the default human model, while women have been underrepresented in clinical trials and other studies. When that imbalance reaches guidance specifically designed for menopause, a health stage experienced only by women, the contradiction becomes impossible to ignore.
AESAN has acknowledged that a warning about the limitations of some underlying research was omitted and has asked its scientific committee to review the report. Spain’s Minister for Equality, Ana Redondo, also called for changes, arguing that women must be properly represented in health research rather than treated as an afterthought.
The debate now extends beyond one government report. It raises a much larger question about modern medicine: can healthcare truly be personalized, precise, and evidence-based if half of humanity has historically been treated as a variation of the male standard?
The Original Report: A Guide Designed to Protect Health During Menopause
AESAN’s report was originally created to provide practical advice for maintaining health during menopause. Its recommendations focused on reducing some of the health risks associated with this stage, including the loss of bone density, declining muscle mass, and increased cardiovascular risk.
The document encouraged a balanced nutritional strategy that includes adequate protein, omega-3 fatty acids, dietary fibre, calcium, iron, vitamins, and other essential nutrients. It also emphasized regular physical activity, particularly strength training, which can help preserve muscle and support bone health.
At first glance, these recommendations reflect widely recognized principles of healthy aging. Nutrition and exercise play an important role in maintaining physical function and reducing certain health risks as the body changes over time.
The problem emerged not necessarily from the general goal of encouraging healthy eating and exercise, but from the scientific foundation used to support some of the more specific nutritional reference values.
The Controversy: A Menopause Guide Built Partly on Studies of Men
Several women researchers criticized the report after identifying that some nutritional recommendations were based on research involving male participants. The document relied on values developed through research associated with the European Food Safety Authority, EFSA, but did not clearly explain that certain reference studies had been conducted exclusively on men.
That omission became particularly controversial because the guide was specifically intended to address the nutritional needs of women during menopause.
Menopause is not simply a generic aging process occurring in a female body. Hormonal changes can affect body composition, bone metabolism, cardiovascular health, iron requirements, and other physiological systems. Researchers therefore argue that evidence specifically involving women should play a central role when developing recommendations for this population.
Using male-based research as part of the evidence base does not automatically mean that every recommendation is incorrect. Some nutritional principles may apply broadly across sexes. However, the scientific limitation matters, especially when recommendations are presented without clearly explaining where the evidence comes from and how directly it applies to menopausal women.
AESAN Responds: The Agency Admits an Omission
Following the criticism, AESAN acknowledged that there had been an omission regarding the warning attached to some of the underlying evidence.
The agency subsequently asked its scientific committee to review the report. It also recognized the broader need for more research specifically focused on women during menopause.
That response is significant because scientific guidance depends not only on the quality of evidence but also on transparency. Readers, doctors, policymakers, and researchers need to understand the limitations of the studies behind official recommendations.
When evidence comes primarily from one population but is applied to another, that limitation should not disappear in the final document.
A transparent scientific report does not become weaker by acknowledging uncertainty. In many cases, it becomes stronger because it allows future research and policy decisions to focus on the gaps that still need to be filled.
The Political Response: Women Demand a Place in Health Research
Spain’s Minister for Equality, Ana Redondo, publicly called for the report to be reviewed and argued that similar situations should not happen again.
Her response focused on a broader historical issue: women have often been missing from the datasets used to shape medical knowledge.
The criticism was especially powerful because menopause itself became the center of the controversy. A stage of life experienced exclusively by women had become another example of how male-centered research can influence health guidance.
The message from critics was clear. Women should not simply be included after research has already been designed around men. They should be represented from the beginning, including in study design, recruitment, data analysis, and the development of public health recommendations.
The Historical Problem: Why Men Became the Medical Default
For decades, women were underrepresented in many clinical trials and medical studies. Researchers sometimes excluded women because hormonal cycles were viewed as an additional variable that could complicate results.
Pregnancy concerns and fears about potential harm to reproductive health also contributed to exclusion from certain types of research.
While these concerns were not always scientifically unreasonable, the long-term consequence was serious. Medical knowledge was frequently built using datasets dominated by men.
The assumption was often that results observed in men could simply be generalized to women.
Modern research has increasingly challenged that assumption.
Biological sex can influence hormones, metabolism, immune responses, body composition, disease progression, symptoms, and the way certain medicines are absorbed and processed.
This means that a treatment or recommendation that appears appropriate based on male-dominated evidence may not always produce identical outcomes in women.
The Diagnostic Gap: When Symptoms Do Not Match the Textbook
One consequence of male-centered medical research is that diagnostic models can sometimes fail to recognize how diseases present differently in women.
If the classic description of a disease is built mainly from observations involving male patients, doctors may be less prepared to identify alternative symptom patterns.
This does not mean that every medical guideline is wrong or that women always experience diseases differently. It means that researchers must actively investigate whether differences exist instead of assuming that they do not.
The distinction is important.
Science becomes less reliable when one population is treated as universal without sufficient evidence.
A more representative research system can improve diagnostic accuracy by identifying patterns that may otherwise remain hidden.
The Treatment Gap: Different Bodies Can Respond Differently
The same principle applies to medicines and treatments.
Factors including body composition, hormones, metabolism, enzyme activity, and physiological changes can influence how a medicine behaves inside the body.
Women may also experience different patterns of adverse effects or respond differently to certain treatments.
This does not mean every drug requires entirely separate versions for men and women. Instead, it means clinical research should collect and analyze data capable of identifying meaningful differences.
Without adequate representation, researchers may not know where those differences exist.
The absence of evidence is not always evidence that no difference exists.
Sometimes it simply means the relevant question was never properly studied.
Menopause Is a Unique Health Transition
Menopause deserves particular attention because it involves substantial hormonal changes that can affect multiple systems throughout the body.
Changes in estrogen levels can influence bone metabolism and body composition. Aging itself can also contribute to muscle loss, while cardiovascular risk can change over time.
These factors make nutrition, physical activity, sleep, and preventive healthcare especially important.
A menopause guide should therefore be based as much as possible on evidence that directly reflects the people it is designed to help.
General nutritional science remains useful, but menopause-specific recommendations require menopause-specific evidence whenever possible.
That is the central issue raised by the controversy surrounding AESAN’s report.
Nutrition Still Matters: The Review Does Not Mean Healthy Habits Should Be Abandoned
The debate over the scientific foundation of the report should not be misunderstood as evidence that nutrition and exercise are unimportant during menopause.
A healthy diet remains a major component of general health.
Adequate protein can support muscle maintenance. Calcium and other nutrients are relevant to bone health. Fibre can contribute to digestive health and dietary quality. Omega-3-rich foods may form part of a balanced dietary pattern.
Regular physical activity also remains important, and resistance or strength training can help maintain muscle function as people age.
The controversy is about precision and evidence.
The goal should not be to reject existing health guidance simply because some of its evidence has limitations. The goal should be to improve the evidence base and clearly distinguish between recommendations supported directly by research involving menopausal women and recommendations extrapolated from broader populations.
Iron and Vitamin C: Why Context Matters
The criticism surrounding nutrients such as iron and vitamin C demonstrates why nutritional advice cannot always be separated from physiology.
Nutritional needs can change throughout life depending on age, biological sex, hormonal status, pregnancy, menstruation, health conditions, diet, and other factors.
Menopause itself can change the context in which certain nutrient recommendations are considered.
For example, the end of menstruation changes one of the major pathways through which many women lose iron. That does not mean iron becomes irrelevant, but it does mean that recommendations should be carefully contextualized.
The same principle applies to many other nutrients. A reference value may be useful, but the population behind the research, the health status of the individual, and the purpose of the recommendation all matter.
Public health guidance should explain these differences instead of presenting every number as universally interchangeable.
The Evidence Gap: Women Need More Than Representation
Simply adding more women to clinical trials is not enough.
Researchers must also analyze the results.
A study can include women but still fail to examine whether outcomes differ by sex, age, menopausal status, hormonal changes, or other relevant biological factors.
True improvement requires better study design from the beginning.
Researchers should ask whether sex-specific analysis is necessary before data collection starts.
They should recruit representative populations.
They should report the characteristics of participants clearly.
They should identify where evidence is strong and where uncertainty remains.
This is how scientific knowledge becomes more precise rather than simply larger.
Better Research Can Create Better Public Health Policy
Government health agencies rely on scientific evidence to create recommendations that affect millions of people.
That creates an enormous responsibility.
A poorly explained limitation can travel far beyond the original report. It can influence doctors, nutritionists, journalists, educators, and members of the public.
Once a recommendation enters the public health system, many people may never see the original research behind it.
That is why agencies must clearly communicate uncertainty and limitations.
Scientific transparency is not a weakness in public policy. It is a safeguard.
The Role of EFSA Evidence: Useful Data Must Be Properly Contextualized
The controversy does not necessarily mean that research produced or referenced through EFSA is invalid.
Scientific reference values are often developed using the best available evidence, which may include studies involving different populations.
The concern is how those values are applied.
If a study is based primarily or exclusively on men, policymakers should explain that limitation when using the findings to develop guidance specifically for women.
Context is the bridge between research and responsible policy.
Without context, readers may assume that evidence is more directly applicable than it actually is.
Why This Debate Matters Beyond Spain
The AESAN controversy is relevant far beyond Spain.
Health agencies around the world face similar challenges when translating imperfect research into public guidance.
The history of underrepresentation in medical research has left gaps that cannot be repaired overnight.
Many modern guidelines still rely partly on older datasets.
Some populations remain underrepresented because recruiting large and diverse groups is expensive and difficult.
Women, older adults, ethnic minorities, and people with complex health conditions may still be insufficiently represented in some areas of research.
The lesson from this controversy is not that science has failed.
The lesson is that science must continue correcting the blind spots created by its own history.
What Patients Should Learn From the Debate
The controversy should encourage people to ask more questions about health information.
Where did this recommendation come from?
Who participated in the research?
Does the evidence directly apply to my age group or health condition?
What are the limitations?
These questions do not represent distrust in science.
They represent scientific literacy.
The strongest relationship between the public and science is not based on blind acceptance. It is based on understanding how evidence is produced, tested, challenged, and improved.
What Healthcare Professionals Can Learn
Doctors, dietitians, nurses, and other healthcare professionals already work with evidence that varies in quality and relevance.
The AESAN case highlights the importance of communicating uncertainty.
A guideline may provide a useful starting point, but it cannot always replace individual assessment.
Menopause is not identical for every woman.
Some experience major changes in bone health or metabolism. Others have different nutritional concerns based on their medical history, diet, medications, or lifestyle.
Professional guidance should therefore combine population-level evidence with individual evaluation.
What Undercode Say:
The Real Issue Is Not One Nutrient, It Is the Architecture of Medical Knowledge
The AESAN controversy should not be reduced to a dispute over iron, vitamin C, or one technical warning.
The deeper problem is the structure through which scientific knowledge becomes public policy.
Research produces data.
Experts interpret the data.
Agencies transform the evidence into recommendations.
Healthcare systems distribute those recommendations.
By the time information reaches the public, the limitations of the original research may have disappeared.
A Menopause Guide Should Not Treat Women as an Extrapolation
Menopause-specific guidance should prioritize menopause-specific evidence whenever that evidence exists.
Using broader research is sometimes unavoidable.
However, extrapolation must be visible.
A recommendation based on direct evidence from menopausal women is fundamentally different from a recommendation adapted from research involving younger women, mixed populations, or exclusively men.
Those differences should be communicated clearly.
The Male Body Cannot Remain the Invisible Default
For much of modern medical history, male physiology has been treated as the baseline.
Women were often described as a variation from that baseline.
That approach is increasingly difficult to defend.
Women represent half of the population.
Their biology is not a niche research category.
It is a central part of human health science.
Representation Must Begin Before the Clinical Trial Starts
The problem cannot be solved only by increasing female participation after a study has already been designed.
Research questions themselves must change.
Scientists should ask from the beginning whether biological sex or hormonal status could influence the outcome.
That question should shape recruitment, methodology, and analysis.
Data Without Context Can Produce False Confidence
A number in a government report can appear absolute.
But every scientific number has a history.
It comes from a specific population, methodology, sample size, and interpretation.
When that context is removed, certainty can become exaggerated.
Public health communication must resist the temptation to make complex evidence look simpler than it really is.
Menopause Research Needs More Investment
The review should also become an opportunity.
Instead of only correcting one report, institutions should invest in long-term studies focused specifically on women during perimenopause and menopause.
Nutrition.
Bone health.
Muscle preservation.
Cardiovascular risk.
Mental wellbeing.
Sleep.
Medication response.
All of these areas deserve stronger evidence.
Better Science Requires Better Data Infrastructure
Governments and research institutions should improve how participant data is recorded and analyzed.
Researchers should be able to separate findings by relevant variables when scientifically appropriate.
Sex.
Age.
Hormonal status.
Menopausal stage.
Underlying health conditions.
These categories can help identify patterns that disappear inside large averages.
Artificial Intelligence Will Inherit Human Research Bias
This issue also matters in the age of artificial intelligence.
AI systems increasingly analyze medical literature, clinical records, and scientific datasets.
If historical research contains systematic gaps, AI can reproduce those gaps at scale.
Technology does not automatically remove bias.
It can accelerate it.
Transparent Metadata Could Become a Powerful Solution
Health agencies should consider stronger metadata practices.
Every major recommendation could include a clear evidence profile.
Who was studied?
How many participants were included?
What populations were underrepresented?
How directly does the evidence apply to the intended audience?
Such information would make public health guidance more transparent.
Precision Medicine Must Include Precision Research
Medicine increasingly promotes personalization.
But personalized treatment cannot emerge from generalized datasets alone.
The research pipeline itself must become more precise.
Otherwise, healthcare systems risk promising personalized medicine while continuing to rely on evidence designed around incomplete population models.
The AESAN Review Could Become a Positive Example
AESAN’s decision to review the report is important.
Institutions should be able to correct mistakes without treating every correction as institutional failure.
Science advances through revision.
A public review can strengthen trust when it is transparent and evidence-driven.
The Long-Term Test Will Be What Changes After the Review
The real question is not whether the document receives an update.
The real question is whether the controversy changes future research and policy practices.
Will new studies be funded?
Will future guidelines identify evidence gaps?
Will women researchers and
That is where meaningful change will be measured.
The Future Should Replace the Default Model
The phrase “male as default” describes an old scientific habit.
Modern research should move beyond default models.
Human biology is diverse.
Public health evidence should reflect that diversity.
The future of medicine should not ask whether women fit into existing datasets.
It should build datasets that reflect the people medicine is meant to serve.
Evidence Review: The Core Controversy Has a Verifiable Basis
✅ AESAN acknowledged an omission concerning a warning about the limitations of some evidence used in its menopause guidance and initiated a review through its scientific process.
✅ The broader historical concern about women being underrepresented in medical research is well established, although representation has improved significantly in many areas over recent decades.
❌ It would be inaccurate to claim that every recommendation in the AESAN menopause guide is scientifically invalid simply because some underlying evidence involved male participants. The central issue is the applicability and transparency of specific evidence, not the automatic rejection of all health advice.
Prediction
(+1) The Controversy Could Accelerate More Specialized Research Into Menopause
More public pressure is likely to encourage health institutions and researchers to prioritize studies specifically involving women during perimenopause and menopause.
Future nutritional guidelines may increasingly identify the sex, age, and population characteristics behind their evidence.
Health agencies could adopt stronger transparency practices that explain when recommendations are directly supported by research and when they are based on extrapolation.
If the review remains limited to correcting language in one document without increasing investment in women’s health research, the deeper evidence gap could remain unresolved.
Deep Analysis
Investigating the Evidence Behind a Health Recommendation
A practical evidence-review workflow should begin by identifying the original study population rather than relying only on the final recommendation.
Researchers and analysts can search scientific databases and official publications for the underlying evidence:
Search local research notes for menopause-related evidence
grep -Ri "menopause" ./research/
Search for references to participant sex
grep -RiE "male|female|women|men|sex-specific" ./research/
Extract references to iron and vitamin C
grep -RiE "iron|vitamin C|ascorbic" ./research/
Review PDF text after converting it to plain text
pdftotext report.pdf report.txt
grep -in "reference population" report.txt
Comparing Research Populations Systematically
A structured dataset can reveal whether evidence is being generalized across populations.
For example, a CSV file containing study characteristics can be inspected using command-line tools:
Display the first lines of the dataset
head -n 20 studies.csv
Filter studies involving menopausal women
awk -F',' '$3 ~ /menopause|postmenopause/i' studies.csv
Identify studies based only on male participants
awk -F',' '$2 ~ /male only/i' studies.csv
Count study categories
cut -d',' -f2 studies.csv | sort | uniq -c
This approach helps analysts identify a critical distinction: evidence may exist, but its relevance depends on who was actually studied.
Building a Reproducible Evidence Audit
Public health agencies could also maintain reproducible evidence pipelines.
Version-controlled research records can show when a recommendation was introduced, what studies supported it, and when the evidence was updated.
Create a project repository
git init menopause-evidence-review
Track the original evidence files
git add .
Save the first documented review state
git commit -m "Add initial evidence sources and population metadata"
Compare changes after an updated scientific review
git diff
A system like this would not eliminate scientific disagreement.
However, it would make the evolution of public health guidance easier to inspect.
The Final Analytical Question: Who Was Actually Studied?
The most important question behind this controversy is remarkably simple:
When a health recommendation is written for a specific population, was that population actually represented in the research?
If the answer is yes, the evidence can be evaluated directly.
If the answer is partly, policymakers should explain the limitations.
If the answer is no, the recommendation may still provide a useful hypothesis or general framework, but it should not be presented with the same level of confidence as directly applicable evidence.
That distinction could define the next stage of women’s health research.
The AESAN controversy is therefore larger than one disputed menopause guide. It exposes an older problem that still exists inside modern science, while also presenting an opportunity to build a better research system. One in which women are not added later, not treated as exceptions, and not forced to fit evidence created for someone else.
▶️ Related Video (78% Match):
🕵️📝Let’s dive deep and fact‑check.
🎓 Live Courses & Certifications:
Join Undercode Academy for Verified Certifications
🚀 Request a Custom Project:
Secure, high-velocity infrastructure and disruptive technological engineering. Contact our engineering team for high-tier development and proprietary systems:
[email protected]
💎 Smart Architecture | 🛡️ Secure by Design | ⭐ Trusted by Thousands
References:
Reported By: www.euronews.com
Extra Source Hub (Possible Sources for article):
https://www.stackexchange.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon | 📺Youtube
