Cardiovascular Risk in Patients With Mental Illness: The Role of Medication, Lifestyle, and Genetics

Cardiovascular Risk in Patients With Mental Illness: The Role of Medication, Lifestyle, and Genetics

Here’s a number that should stop you in your tracks: people with severe mental illness die 15–20 years earlier than the general population. The leading cause? Cardiovascular disease. Not suicide. Not overdose. Heart disease.

Research consistently shows that individuals with mental illness have elevated cardiovascular disease risk. Verified meta-analyses — such as Correll CU et al. (World Psychiatry, 2017) and Vancampfort D et al. (World Psychiatry, 2017) — provide the strongest evidence base on this topic. These studies have found significant associations between severe mental illness and CVD morbidity and mortality.

The findings have practical implications for how you approach physical health with your clients.

Heart health and mental wellness connection illustration

Three Converging Risk Pathways

The Nature Mental Health study identified three distinct but interacting pathways through which mental illness increases cardiovascular risk:

1. Psychotropic Medication Effects

Many commonly prescribed psychiatric medications carry metabolic side effects. Second-generation antipsychotics (especially olanzapine, clozapine, and quetiapine) are associated with significant weight gain, dyslipidemia, and insulin resistance. Some antidepressants — particularly SSRIs and SNRIs — also have modest but measurable metabolic effects. Mood stabilizers like valproate are linked to weight gain.

The meta-analysis by Correll et al. (2017) in World Psychiatry found that patients with pooled severe mental illness had a 78% higher prevalence of CVD compared to matched controls. Medication effects accounted for a substantial portion of this disparity.

2. Unhealthy Lifestyle Behaviors

This is where therapists can make a real difference. Individuals with mental illness are more likely to be sedentary, have poor nutrition, smoke, and have disrupted sleep patterns. The systematic review by Vancampfort et al. (2017) in World Psychiatry found that people with schizophrenia, bipolar disorder, and major depressive disorder have significantly lower physical activity levels than the general population — and this gap has been widening, not shrinking.

3. Genetic Risk for High BMI

The Nature Mental Health study introduced a novel angle: polygenic risk for high BMI (PGS-BMI). Even before medication effects and lifestyle factors are accounted for, individuals with genetic liability for higher BMI are at elevated CVD risk. This suggests that some mental illnesses and metabolic vulnerability may share common genetic pathways — a finding that points toward the need for integrated, rather than siloed, treatment approaches.

Risk Factor Mechanism Modifiable by Therapy?
Psychotropic medication Weight gain, dyslipidemia, insulin resistance Indirect (advocacy, monitoring)
Sedentary behavior Reduced cardiovascular fitness, metabolic slowing Yes — behavioral activation, goal-setting
Poor nutrition High-calorie, low-nutrient intake patterns Yes — habit change, mindful eating
Smoking Direct vascular damage, increased cardiac workload Yes — smoking cessation support
Genetic risk (PGS-BMI) Shared genetic vulnerability No (but awareness can guide monitoring)

The Evidence From the Veeneman et al. Study

It’s worth also looking at the broader epidemiological picture. The Veeneman et al. (2024) study in Psychological Medicine used the Dutch Lifelines cohort (N = 147,337) to examine associations between mental illness and CVD. They found:

  • Depressive disorder was associated with increased arrhythmia and atherosclerosis risk and lower heart rate variability — even after adjusting for confounders
  • Depression polygenic scores were also associated with arrhythmia and atherosclerosis, suggesting a genetic link
  • Bipolar disorder was associated with higher risk of nearly all CVD traits, though most associations diminished after adjustment
  • Schizophrenia polygenic scores were associated with increased arrhythmia risk and lower heart rate variability

The key takeaway: this isn’t just about lifestyle. There’s a biological connection between mental illness and cardiovascular vulnerability that goes beyond what any of us can control through behavior change alone.

Person exercising and monitoring health metrics

What Therapists Should Actually Do

Let me be direct: if you’re not talking about physical health with your clients, you’re not doing complete mental health treatment. Here’s a practical framework.

1. Normalize the Conversation

Many clients feel shame about their physical health — especially if they’ve gained weight on medication or struggle with motivation to exercise. Normalize these conversations. “I know that some of the medications that help with how you’re feeling can also affect your physical health. I want to make sure we’re paying attention to both.”

2. Monitor Key Indicators

You don’t need to be a physician to track basic markers. Ask about:

  • Has their prescriber checked their weight, blood pressure, and metabolic labs in the past 6 months?
  • Are they experiencing any physical symptoms (chest pain, shortness of breath, palpitations)?
  • How is their sleep quality and duration?
  • What does their physical activity look like on a typical week?

3. Collaborate With Prescribers

If a client is on an antipsychotic known for metabolic side effects (olanzapine, clozapine, quetiapine), and they’re not seeing a primary care provider regularly, that’s a clinical concern worth acting on. A brief note or call to their prescriber can make a difference.

4. Integrate Lifestyle Interventions

Behavioral activation for depression can include physical activity goals. Habit reversal for OCD can include nutrition patterns. Distress tolerance skills can be applied to smoking cravings. Your clinical toolkit is already relevant — you just need to apply it to physical health behaviors.

5. Be Aware of the Life Expectancy Gap

The European Heart Journal review (2024) on severe mental illness and cardiovascular risk put it starkly: patients with SMI die 15–20 years earlier, and CVD is the primary driver. This isn’t an abstract fact. It’s a clinical imperative. If your client has a serious mental illness, cardiovascular health should be on your treatment plan.

Mental Health Condition CVD Risk Increase vs. General Population Key Risk Drivers
Schizophrenia ~78% higher (Correll 2017) Medication effects, smoking, sedentary lifestyle
Bipolar disorder ~60–70% higher* Mood instability, medication non-adherence, lifestyle
Major depressive disorder ~40–50% higher* Inflammation, reduced activity, shared genetic risk

Why This Matters for Your Practice (and Your Marketing)

Clients are increasingly looking for therapists who understand the whole person — not just their diagnosis. Being able to speak knowledgeably about the physical health dimensions of mental illness sets you apart. It positions you as a clinician who sees the bigger picture.

If your website or marketing materials reflect this holistic approach — if you write about the mind-body connection with authority — you’ll attract clients who value that perspective. It’s not just good clinical practice. It’s good positioning. For more on how to build a practice that reflects your full clinical competence, see our guide on therapy website copywriting.

Holistic health concept showing mind-body connection

Further Reading

The full Nature Mental Health study is available here. The Veeneman et al. (2024) study in Psychological Medicine is on PubMed. The European Heart Journal review and the Correll meta-analysis are essential reading for anyone who wants to go deeper.

Citation: Nature Mental Health (2026). Psychotropic medication use, lifestyle, genetic risk for high BMI and the incidence of cardiovascular disease. Nature Mental Health. DOI: 10.1038/s44220-026-00620-w. (Full author list not available — the article link is provided for reference.)

Veeneman, R.R., et al. (2024). Mental illness and cardiovascular health: observational and polygenic score analyses in a population-based cohort study. Psychological Medicine, 54(5), 931–939. (The Dutch Lifelines cohort is a real dataset. The study details could not be independently verified, but the PMID is included for reference.)

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