Join the Defiants

Sign up to be the first to know about special offers and exciting Signos news.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
November 29, 2025
|
Wellness
|
3 min read
|
Written By
Amy Brownstein

Sugar, Smoking, and Stress: How Lifestyle Synergy Impacts Lung Cancer Risk

man smoking

Key Takeaways

  • Lifestyle affects lung cancer risk. High-glycemic diets, insulin resistance, smoking, environmental exposures, and chronic stress contribute to inflammation and oxidative stress that influence metabolic and lung health.
  • Emerging evidence suggests that metabolic health may influence lung cancer risk.
  • Maintaining stable glucose levels not only benefits metabolic health but may also reduce your risk of lung cancer.

that {{mid-cta}}

Epidemiological studies show that lung cancer is the second most common cancer and the leading cause of cancer deaths in the United States. Public health efforts focused on smoking cessation, reducing secondhand smoke exposure, and expanding access to early-stage lung cancer screening have helped improve survival rates.1 

Although smoking may be the most recognized high-risk factor for lung cancer, it’s not the only driver of lung cancer risk. Lifestyle, environmental exposures, metabolic health, dietary habits, and stress also influence susceptibility, especially as lung cancer cases rise among non-smokers. These factors can modulate inflammation, oxidative stress, and metabolic function, thereby shaping long-term lung health. 

Environmental exposures, such as air pollution and diesel exhaust, and occupational exposures, such as asbestos, cadmium, and radon, remain risk factors for lung cancer. But emerging research indicates that lifestyle factors like dietary habits, physical activity levels, and chronic stress may also influence risk, highlighting the interconnectedness of metabolic health and lung cancer.2 

How Sugar Impacts Lung Health

The lungs use glucose for energy, but consistently elevated glucose can impair lung function.3 Eating foods with a high glycemic index is associated with an increased risk of lung cancer compared to eating foods higher in fiber.4 This is especially relevant for lung cancer patients who may experience metabolic disruptions during treatment.

Elevated glucose and insulin levels activate pathways implicated in carcinogenesis. Conditions such as insulin resistance and diabetes are associated with increased lung cancer risk because they promote oxidative stress, chronic inflammation, and impaired lung cell function.5 

Hyperinsulinemia also appears to have cancer-promoting effects. A large review of more than six million participants found that insulin resistance more than doubled the risk of developing lung cancer.6 

Metabolic syndrome, defined by high glucose, increased waist circumference, and low HDL cholesterol, has also been linked to a higher risk of lung cancer. Excess visceral fat contributes to elevated insulin, hormone imbalances, and pro-inflammatory signaling, creating metabolic conditions that support carcinogenesis.7 

Smoking: The Obvious Risk Factor

Smoking remains the leading cause of lung cancer worldwide. Lung cancer incidence varies globally and is heavily shaped by smoking habits. 

Cigarette smoke contains carcinogens such as polycyclic aromatic hydrocarbons (PAHs) and tobacco-specific nitrosamines that directly damage lung tissue and cause genetic mutations that promote cancer. Tobacco smoke also triggers chronic inflammation and oxidative stress in the lungs.1,8 

Cadmium, a compound found in cigarette smoke, is classified as a Group 1 carcinogen and is linked to higher lung cancer risk. It promotes DNA damage and persistent inflammation, effects that can continue even after smoking cessation.2 

Smoking also contributes to metabolic dysfunction. Use of tobacco products increases insulin resistance and promotes abdominal fat in a dose-dependent manner, meaning the more someone smokes, the greater their metabolic impairment. For individuals already living with insulin resistance or diabetes, smoking further disrupts glucose metabolism and makes blood sugar regulation more difficult. 

Use of tobacco products increases insulin resistance through hormonal changes and promotes abdominal fat in a dose-dependent fashion, meaning the more someone smokes, the greater the risk of insulin resistance. Among individuals with insulin resistance or diabetes, smoking exacerbates insulin resistance and impairs glucose metabolism, making glucose control more challenging.5 

While lung cancer rates are declining among smokers, they are rising among never-smokers, contributing to more diagnoses of adenocarcinoma, the most common subtype of non-small cell lung cancer.1 This shift underscores the importance of identifying additional factors that contribute to cancer incidence. 

The Hidden Role of Stress

Chronic stress activates the hypothalamic-pituitary-adrenal (HPA) axis, driving cortisol release. Elevated cortisol disrupts immune function and metabolic regulation, contributing to insulin resistance, visceral fat, and impaired glucose and lipid metabolism, thereby promoting obesity and inflammation.9 Persistently high levels of cortisol can weaken anti-tumor immunity, raising lung cancer risk over time.10 

Stress also contributes to oxidative stress, generating free radicals that damage cells and impair insulin signaling. Over time, this metabolic dysfunction further compounds inflammation and increases vulnerability to diseases, including cancer.11 

Lifestyle Synergy: Why Multiple Factors Matter

Lifestyle factors don’t operate in isolation. Stress, poor dietary habits, smoking, and secondhand smoke exposure each influence lung cancer risk individually. But when combined, their effects often amplify one another. 

Smoking is inherently pro-inflammatory and carcinogenic. When paired with a high-glycemic diet or chronic stress, these factors may accelerate cellular damage.

Quitting smoking is the number one lifestyle modification for reducing your risk of lung cancer. Build on this by adopting a nutrient-dense diet rich in vitamin D, omega-3 fatty acids, and antioxidant-rich foods to help mitigate inflammation.

How Signos Supports Lung Health

Signos helps you gain a clearer understanding of your metabolic health by showing how daily habits, like diet, movement, sleep, and stress, impact your glucose patterns. Tracking these patterns over time can reveal lifestyle factors that may contribute to impaired glucose regulation, giving you actionable insights to support healthier metabolism.

Because metabolic syndrome is linked to a higher risk of lung cancer, maintaining stable glucose and insulin levels is an important strategy for long-term prevention. Early detection and lifestyle adjustments can make a meaningful difference.

How Signos Helps You Take Action:

  • Real-Time Glucose Tracking: See how smoking, secondhand smoke, meals, activity, and stress affect your glucose throughout the day, helping you identify triggers that impact your metabolism.
  • Weekly Insights: Spot trends in your glucose data to understand how smoking habits, stress, or lifestyle factors influence your metabolic health over time.
  • Movement Nudges: Get timely reminders to move or take short walks to help counteract glucose spikes linked to smoking-related stress and inflammation.

Try These Experiments:

  1. Pre- vs. Post-Smoke Tracking: Measure your glucose before and after a cigarette (or exposure to secondhand smoke) to see how nicotine and smoke affect your blood sugar in real time.
  2. Substitution Test: On days you reduce smoking or replace cigarettes with a walk, snack, or deep-breathing exercise, track glucose changes to see how alternative habits influence stability.
  3. Meal Pairing Experiment: Observe how certain meals (high protein, fiber-rich, or antioxidant-packed) affect your glucose when paired with smoking or smoke exposure, helping identify foods that support metabolic health despite exposure.

By connecting your smoking habits and daily lifestyle to your glucose patterns, Signos empowers you to make informed choices that support metabolic health and lower long-term disease risk.

The Bottom Line

Lung cancer isn’t determined by one factor alone. Sugar, smoking, and stress interact to influence metabolic and lung health. By addressing all three, supported by glucose insights from Signos, individuals can take meaningful steps to support cancer prevention and metabolic health. 

Learn More With Signos’ Expert Advice

Explore how continuous glucose monitors (CGMs) can help you understand your glucose patterns and optimize both respiratory and metabolic health. Visit the Signos’ blog for more science-backed information on the links between sugar, stress, smoking, and metabolic health.

Topics discussed in this article:

References

1. Bade, B. C., & Dela Cruz, C. S. (2020). Lung Cancer 2020: Epidemiology, Etiology, and Prevention. Clinics in chest medicine, 41(1), 1–24. https://doi.org/10.1016/j.ccm.2019.10.001 

2. Feng, M., Wang, F., Bao, M., & Zhu, L. (2025). Environmental risk factors, protective factors and lifestyles for lung cancer: an umbrella review. Frontiers in public health, 13, 1623840. https://doi.org/10.3389/fpubh.2025.1623840 

3. Pouptsis, A., Zaragozá, R., García-Trevijano, E. R., Viña, J. R., & Ortiz-Zapater, E. (2025). Nutrition, Lifestyle, and Environmental Factors in Lung Homeostasis and Respiratory Health. Nutrients, 17(6), 954. https://doi.org/10.3390/nu17060954

4. Chen, S., Hua, B., Liu, B., Wang, L., Yuan, Q., Yang, Y., Sun, X., Ye, D., Du, L., Mao, Y., & Li, J. (2025). Dietary carbohydrate intake and risks of overall and 21 site-specific cancers: A prospective cohort study. Frontiers in Nutrition, 12, 1607358. https://doi.org/10.3389/fnut.2025.1607358 

5. Chang, C. P., Meyers, T. J., Fu, A., Zhang, M. Y., Tashkin, D. P., Rao, J. Y., Cozen, W., Mack, T. M., Hashibe, M., Morgenstern, H., & Zhang, Z. F. (2020). Dietary glycemic index, glycemic load, and lung cancer risk: A case-control study in Los Angeles County. Cancer epidemiology, 69, 101824. https://doi.org/10.1016/j.canep.2020.101824 

6. Liu, J., Wang, R., Tan, S., Zhao, X., & Hou, A. (2024). Association between insulin resistance, metabolic syndrome and its components and lung cancer: a systematic review and meta-analysis. Diabetology & metabolic syndrome, 16(1), 63. https://doi.org/10.1186/s13098-024-01308-w

7. Li, M., Cao, S. M., Dimou, N., Wu, L., Li, J. B., & Yang, J. (2024). Association of Metabolic Syndrome With Risk of Lung Cancer: A Population-Based Prospective Cohort Study. Chest, 165(1), 213–223. https://doi.org/10.1016/j.chest.2023.08.003 

8. Stading, R., Gastelum, G., Chu, C., Jiang, W., & Moorthy, B. (2021). Molecular mechanisms of pulmonary carcinogenesis by polycyclic aromatic hydrocarbons (PAHs): Implications for human lung cancer. Seminars in cancer biology, 76, 3–16. https://doi.org/10.1016/j.semcancer.2021.07.001

9. Kivimäki, M., Bartolomucci, A., & Kawachi, I. (2023). The multiple roles of life stress in metabolic disorders. Nature reviews. Endocrinology, 19(1), 10–27. https://doi.org/10.1038/s41574-022-00746-8

10. Hong, H., Ji, M., & Lai, D. (2021). Chronic Stress Effects on Tumor: Pathway and Mechanism. Frontiers in oncology, 11, 738252. https://doi.org/10.3389/fonc.2021.738252

11. Rani, V., Deep, G., Singh, R. K., Palle, K., & Yadav, U. C. (2016). Oxidative stress and metabolic disorders: Pathogenesis and therapeutic strategies. Life sciences, 148, 183–193. https://doi.org/10.1016/j.lfs.2016.02.002

Amy Brownstein

Amy Brownstein

Amy Brownstein, MS, RD, is a nutrition communications consultant with a passion for bridging the gap between evidence-based nutrition science and marketing.

Table Of Contents

Your body runs on glucose. Harness it with Signos.

Terms and ConditionsPrivacy Policy

SIGNOS INDICATIONS: The Signos Glucose Monitoring System is an over-the-counter (OTC) mobile device application that receives data from an integrated Continuous Glucose Monitor (iCGM) sensor and is intended to continuously measure, record, analyze, and display glucose values in people 18 years and older not on insulin. The Signos Glucose Monitoring System helps to detect normal (euglycemic) and low or high (dysglycemic) glucose levels. The Signos Glucose Monitoring System may also help the user better understand how lifestyle and behavior modification, including diet and exercise, impact glucose excursions. This information may be useful in helping users to maintain a healthy weight.
The user is not intended to take medical action based on the device output without consultation with a qualified healthcare professional.
See user guide for important warnings and precautions.
STELO IMPORTANT INFORMATION: Consult your healthcare provider before making any medication adjustments based on your sensor readings and do not take any other medical action based on your sensor readings without consulting your healthcare provider. Do not use if you have problematic hypoglycemia. Failure to use Stelo and its components according to the instructions for use provided and to properly consider all indications, contraindications, warnings, and cautions in those instructions for use may result in you missing a severe hypoglycemia (low blood glucose) or hyperglycemia (high blood glucose) occurrence. If your sensor readings are not consistent with your symptoms, a blood glucose meter may be an option as needed and consult your healthcare provider. Seek medical advice and attention when appropriate, including before making any medication adjustments and/or for any medical emergency.
STELO INDICATIONS FOR USE: The Stelo Glucose Biosensor System is an over-the-counter (OTC) integrated Continuous Glucose Monitor (iCGM) intended to continuously measure, record, analyze, and display glucose values in people 18 years and older not on insulin. The Stelo Glucose Biosensor System helps to detect normal (euglycemic) and low or high (dysglycemic) glucose levels. The Stelo Glucose Biosensor System may also help the user better understand how lifestyle and behavior modification, including diet and exercise,impact glucose excursion. The user is not intended to take medical action based on the device output without consultation with a qualified healthcare professional.