How Biological Sex and Hormonal Profiles Shape Stress, Mental Health, and Performance at Work

ByDeepHealth
Hormonal Health Workforce Performance CHRO Strategy

How Biological Sex and Hormonal Profiles
Shape Stress, Mental Health, and Performance at Work

Why Wellness Programmes Designed for the Average Fail the People Who Need Them Most

Workplace wellness programmes are designed for a workforce. In practice, most of them are designed for a statistical average that does not accurately describe any specific individual within it. The result is programmes that perform adequately in aggregate and inadequately for the people whose needs diverge most from that average, which tends to include a disproportionate share of the organisation’s highest-value contributors.

Sanjay Dev
Sanjay Dev Founder, Deep-Health
June 2026·16 min read

One of the most significant and most consistently underutilised sources of variance in workplace health and performance is biological sex. Not gender identity, and not cultural socialisation in isolation, but the specific hormonal and neurobiological differences associated with biological sex that have documented, measurable effects on stress physiology, mental health risk profiles, recovery requirements, and cognitive performance patterns.

These are not generalisations about personality. They are clinical variables, ones that operate through specific biological mechanisms and that have direct, actionable implications for how wellness and performance programmes should be designed if they are to work for the full range of people in an organisation.

The research in this area is genuinely complex. Average differences between groups are statistical patterns, not personal destinies. Within-group variation, the differences among women, or among men, is consistently larger than between-group variation. Personality, life history, and individual physiology matter more than biological sex as determinants of any single person’s health or performance profile. With that framing firmly in place, the science is worth understanding. Because ignoring it produces wellness programmes that are, by design, less effective for a significant proportion of the people they are supposed to serve.
Section 01

The Hormonal Foundation: Why Biological Sex Creates Different Physiological Profiles

The primary mechanism through which biological sex influences psychology and performance is hormonal. Oestrogen, progesterone, testosterone, and their downstream effects on neurotransmitter systems, particularly serotonin, dopamine, and oxytocin, produce different baseline physiological environments in typical male and female bodies, with direct consequences for how stress is processed, how mental health risk is distributed, and how cognitive performance varies across time.

This is not a binary or simple relationship. Hormone levels vary considerably between individuals of the same biological sex, fluctuate across life stages, and interact with cortisol, thyroid hormones, insulin, and other systemic variables in ways that are specific to each person’s biology. What the research describes are tendencies and average differences, not fixed categories.

The hormonal mechanisms explain patterns that People leaders encounter regularly in their workforce data without always having a biological framework to interpret them. That framework is what this article provides.
Section 02

Stress Response: Two Different Physiological Defaults

The most practically significant biological sex difference for workplace wellness is in stress response physiology. The classic model of stress response, fight-or-flight, describes the sympathetic nervous system activation driven by cortisol and adrenaline that prepares the organism for immediate threat response. This model was developed primarily through research on male subjects and male animal models, a methodological bias that was standard in biomedical research for decades.

Research published in Psychological Review by Shelley Taylor and colleagues introduced a complementary model: tend-and-befriend. The proposal, supported by subsequent research on oxytocin’s role in stress buffering, suggests that under conditions of threat, individuals with higher oestrogen and oxytocin activity show a greater tendency toward affiliative, protective, and social bonding responses alongside the standard sympathetic activation. Oxytocin appears to modulate the cortisol response, partially buffering its intensity and directing behavioural output toward social connection rather than fight or flight.

Fight-or-Flight Response

Cortisol and adrenaline drive sympathetic nervous system activation. Prepares the organism for immediate threat response through heightened arousal, rapid decision-making, and physical mobilisation. Characteristically more prominent in male physiology.

Standard corporate stress management tools, breathwork, cognitive reframing, physical de-escalation, are well-calibrated to this response pattern.

Individual Resilience Model

Tend-and-Befriend Response

Oxytocin modulates the cortisol response, directing behavioural output toward social connection, affiliative bonding, and protective responses. Characteristically more prominent where oestrogen and oxytocin activity are higher.

Interventions supporting social cohesion, team connection, and relational safety are disproportionately valuable here, and are largely absent from most corporate stress frameworks.

Relational Safety Model

This is not a reason to design different programmes for men and women. It is a reason to design programmes that address both response patterns, which most standard corporate stress management frameworks currently do not.
Section 03

Mental Health Risk Distribution: Different Profiles, Both Underserved

The epidemiology of mental health disorders shows consistent, well-replicated differences in distribution between biological sexes that have direct relevance for workplace mental health programme design.

Profile 01

Anxiety and Depression: Higher Rates, Higher Help-Seeking

Women are diagnosed with anxiety and depressive disorders at roughly twice the rate of men across most population studies. The biological mechanisms are partially understood: oestrogen has complex modulatory effects on serotonin receptor expression and serotonin transporter activity, producing both protective effects in some contexts and vulnerability in others, particularly during periods of hormonal fluctuation such as the premenstrual phase, perimenopause, and the postpartum period. Progesterone’s metabolite allopregnanolone is a potent modulator of GABA receptors; fluctuations in its levels are directly associated with mood variability and anxiety risk. Higher rates of anxiety and depression in women, combined with greater help-seeking behaviour, mean that female employees are more likely to engage with available mental health support, if it is accessible, destigmatised, and adequately resourced.

Profile 02

Substance Misuse and Suicide: Higher Rates, Lower Help-Seeking

Men show substantially higher rates of substance misuse disorders and complete suicide at rates approximately three to four times higher than women across most populations, despite women having higher rates of suicide attempts. The elevated completion rate in men is associated with multiple factors, including the use of more lethal methods, lower rates of help-seeking, and the suppression of emotional distress signals that prevents both self-recognition of crisis and others’ recognition of risk. A workforce mental health strategy that measures programme success by engagement rates is likely systematically miscounting its impact on male employees, observing lower engagement and interpreting it as lower need, when the actual pattern may be equal or greater need paired with greater access barriers.

Effective programme design requires both routes: accessible, destigmatised provision for anxiety and depression, and proactive, low-threshold outreach specifically designed for the populations least likely to self-refer.
Section 04

Cognitive Performance Patterns: Cyclical Biology and Consistent Capability

The menstrual cycle produces documented, measurable fluctuations in cognitive performance patterns across its approximately 28-day duration. These are not performance deficits. They are performance variations that reflect the shifting hormonal environment across the cycle’s phases. Research in cognitive neuroscience has demonstrated that oestrogen, at higher concentrations in the follicular phase, is associated with enhanced verbal fluency, fine motor precision, and certain aspects of working memory. The premenstrual phase, characterised by declining oestrogen and progesterone, is associated in a significant minority of individuals with mood, cognitive, and energy variability that can materially affect work performance.

In men, testosterone fluctuates on a circadian rhythm, peaking in the early morning hours and declining across the day, with additional longer-term variation associated with age, sleep quality, stress load, and metabolic health. The testosterone-to-cortisol ratio is a meaningful predictor of cognitive performance under pressure, competitive drive, and recovery speed. Chronically elevated cortisol relative to testosterone, a common pattern in high-stress executive populations, produces measurable impairment in working memory, risk assessment, and the motivated persistence that sustained strategic work requires.

For both sexes, the practical lesson is the same: performance is not a fixed output. It is a variable product of hormonal environment, physiological state, and the conditions the organisation either supports or ignores. The most significant cognitive variability in the premenstrual phase responds to targeted clinical intervention, but most workplace health programmes make no provision for this.
Section 05

Social Behaviour and Team Dynamics: The Structural Implications

On average, men form and maintain social bonds through shared activity and task collaboration. Women, on average, form and maintain social bonds through emotional sharing and mutual disclosure. These are tendencies shaped by a combination of hormonal factors, including oxytocin’s role in social bonding, and cultural socialisation. The within-group variation is substantial. But the average difference has structural consequences for team cohesion and belonging.

A team-building strategy built exclusively around task-based collaboration may build cohesion more effectively in populations that form bonds through activity, and less effectively in populations that form bonds through relational exchange. A management approach that reserves relational depth exclusively for structured feedback processes may leave a significant proportion of the workforce feeling professionally connected but personally unseen, which the research on engagement and retention consistently identifies as a precursor to voluntary departure.

Research on empathy shows a more complex picture than popular framing suggests. Women score higher on average on affective empathy, the capacity to share and be moved by another person’s emotional state. Men score comparably on cognitive empathy, the capacity to understand another person’s perspective without necessarily sharing the emotional experience. Both forms are operationally valuable in leadership. Empathy development programmes that rely exclusively on emotional attunement exercises will land more unevenly across the workforce than those that also develop perspective-taking through structured analysis.
Section 06

Risk-Taking, Decision-Making, and Performance Calibration

The research on sex differences in risk assessment and performance self-evaluation has two findings that are particularly consequential for talent management and organisational design.

Male Pattern: Overconfidence and Elevated Risk Tolerance

On average, men overestimate their performance more frequently and accept higher levels of risk without adequate assessment. This pattern is associated with testosterone-driven competitive motivation and can produce both high-gain outcomes and high-cost failures.

In selection processes, this pattern produces higher rates of self-nomination and confident self-presentation, regardless of underlying capability relative to less self-promoting candidates.

High Visibility, Variable Accuracy

Female Pattern: Cautious Risk Evaluation and Performance Underestimation

On average, women evaluate risk more cautiously and underestimate their own performance more frequently. This is associated with more accurate calibration in many contexts but can produce underrepresentation in competitive selection processes, not because of actual capability gaps, but because self-nomination in high-stakes situations is partly driven by confidence calibration.

Designing assessment processes that evaluate demonstrated performance rather than self-reported confidence corrects a measurement bias that affects the quality of talent decisions.

Lower Visibility, Higher Accuracy

Selection and promotion processes that rely heavily on self-nomination, confident self-presentation, and competitive volunteering will systematically produce candidate pools that over-represent one pattern of performance self-estimation and under-represent another, irrespective of actual underlying capability. This is not preferential treatment to correct. It is a measurement bias that degrades the quality of talent decisions.
Section 07

What This Means for Programme Design

The practical takeaway from this body of research is not that organisations need separate wellness programmes for men and women. It is that effective workforce health and performance programmes need to be designed with sufficient range to address the full distribution of biological, hormonal, and psychological profiles present in any workforce.

Stress management provision that addresses both fight-or-flight and tend-and-befriend response patterns. Individual resilience tools alongside social cohesion and relational safety structures, not one without the other.
Mental health access designed for both high self-referral and low self-referral populations. Proactive, low-threshold outreach specifically calibrated for the individuals least likely to engage with provision that requires them to identify and communicate their own distress.
Performance support that accounts for hormonal variability, particularly the premenstrual phase variability that affects a clinically significant minority of employees, and the testosterone-cortisol dysregulation that is endemic in high-stress male executive populations.
Team and communication design that creates social bonding pathways for both task-oriented and relationally-oriented connection styles, rather than defaulting to one model and wondering why cohesion is inconsistent.
Talent assessment that evaluates performance rather than confidence, to ensure that selection processes measure what they intend to measure rather than reflecting the measurement artefacts of differential self-estimation patterns.
The goal of applying this science in an organisational context is not to make assumptions about individuals based on their biological sex. It is to design programmes that are broad enough, flexible enough, and individually responsive enough to serve the full range of people in the workforce, including those whose needs diverge most from the statistical average that most programmes are implicitly designed for. That is both the scientific imperative and the commercial one.

Audit your workforce through a biological lens. Ask three questions:

Are your wellbeing programmes designed for engagement, or for actual outcomes?
Do your mental health pathways work equally well for people who seek help and those who do not?
Are you measuring performance through output, or through assumptions about how performance should look?

If you cannot answer confidently, your programme may already be under-serving the people your organisation depends on most. Start with the data. Rebuild the design. Then measure what changes.

Organisational Health and Performance Programme

Programmes designed for the average fail the people who generate above-average value. We help you design for the full distribution.

Deep-Health works with CHROs and People leaders to audit existing workforce health and performance programmes against the biological and hormonal variance present in their workforce, and to redesign provision that generates measurable outcomes across the full range of employees, not just the statistical average.

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* References and Attributions

The tend-and-befriend stress response model was proposed by Shelley Taylor and colleagues and published in Psychological Review (Taylor et al., 2000). Subsequent research on oxytocin’s role in stress buffering and the tend-and-befriend mechanism has been published across multiple peer-reviewed journals in neuroendocrinology and stress biology. The epidemiological data on sex differences in mental health disorder prevalence and suicide rates reflect patterns documented in the WHO Global Burden of Disease data and multiple national mental health prevalence studies. Data on cognitive performance variation across the menstrual cycle draws from published cognitive neuroscience literature. The research on empathy and sex differences in affective versus cognitive empathy reflects published social neuroscience literature. All references are cited for informational and educational purposes only. Deep-Health has no commercial affiliation with any of the researchers or institutions mentioned.

Disclaimer

The information presented in this article is intended for educational and organisational programme design purposes and does not constitute medical advice. Statistical differences between groups described in this article represent population-level averages and tendencies. They do not predict the characteristics of any specific individual. Individual variation within any group is consistently larger than average differences between groups. Organisational decisions regarding workforce health and performance programmes should be informed by qualified clinical and People leadership professionals. Deep-Health does not provide diagnosis or prescribe interventions without prior individual or organisational assessment. This content reflects the author’s analysis based on published clinical and social science literature and professional experience working with organisations and leadership teams.

Sanjay Dev

Sanjay Dev

Founder of Deep-Health. 20-plus years working with founders, executives, athletes, and organisations at the intersection of neuroscience, physiology, and behavioural biochemistry.