Woman looking happy after waking up.

Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up

Written by: Mecene Research Team

|

Published

|

Time to read 7 min

Note From Dr. Pendleton


This article is my attempt at a simplified summary of a scientific paper I found interesting. I’m passionate about sharing scientific knowledge in a way that’s accessible to everyone. However, it's important to remember that many scientific studies, including this one, may not directly apply to you, let alone all people. For example, some studies are conducted on animals or involve small sample sizes, which limits the generalizability of the results. My goal is to present the information responsibly and in layman’s terms, so please keep in mind that the findings should be interpreted with care.


Medical Disclaimer: This article is for informational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay seeking it because of something you have read on this website. The information in this article is based on a scientific review and should not be used as the sole basis for treatment decisions. Always consult with a healthcare professional before starting any new treatment or therapy.

Overview

In the study Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up, Da Young Lee et al. explored the relationship between sleep duration and the risk of developing type 2 diabetes mellitus (T2DM) in an Asian population over 16 years. As diabetes rates continue to rise globally, the authors aimed to investigate how different sleep durations—whether too short or too long—affect diabetes risk, particularly when factors such as obesity, age, and sex are considered. Prior research on this topic has yielded mixed results, especially across different ethnicities. The study analyzed data from the Korean Genome and Epidemiology Study, providing valuable long-term insights into how sleep patterns influence metabolic health.

Understanding the Link Between Sleep and Type 2 Diabetes

Sleep is vital for maintaining good health, especially metabolic processes like glucose regulation. Scientists have long been interested in how sleep duration impacts the risk of type 2 diabetes mellitus (T2DM), a disease that continues to rise globally. The number of adults with diabetes is predicted to reach 700 million by 2045, and aside from poor diet, smoking, and lack of exercise, sleep patterns have emerged as key factors influencing the disease.


This study looked at how sleep duration influences the development of T2DM in a large group of middle-aged Asians over a 16-year period. While earlier studies have hinted at a connection between sleep and diabetes, the results were mixed, especially among different ethnic groups. According to the researchers, many Asian studies "had a small number of participants, short follow-up periods, and lacked biochemical data," which may have led to inconsistent findings. This research aimed to provide a clearer understanding by following participants for a longer period and examining how sleep duration interacts with obesity, age, and sex in relation to diabetes risk.

Methodology

The study used data from the Korean Genome and Epidemiology Study, a large cohort study that followed participants aged 40-69 from 2001 to 2020. Participants were divided into three groups based on their reported sleep duration:


  1. ≤5 hours per night (short sleep)
  2. 5-7 hours per night (reference group)
  3. 7 hours per night (long sleep)

The study excluded people with diabetes at the start and shift workers since their sleep patterns might be irregular. After these exclusions, 7,407 participants were included in the analysis. To assess the risk of developing T2DM, the researchers used a statistical model called Cox proportional hazards analysis. This model helped calculate the hazard ratios (HR) for diabetes while adjusting for factors like age, body mass index (BMI), alcohol consumption, smoking, physical activity, and sleep disorders like sleep apnea.


Standard criteria defined diabetes:


  • Fasting blood glucose of at least 126 mg/dL
  • 2-hour glucose levels over 200 mg/dL after a glucose tolerance test
  • An HbA1c level of 6.5% or higher
Woman sleeping peacefully on her side.

The study tracked the participants over multiple exams conducted every two years, allowing researchers to determine who developed diabetes during the 16-year follow-up period.

Main Findings

During the follow-up, 2,024 participants developed type 2 diabetes. The study found that:

Short Sleep (≤5 hours per night)

Short sleep was associated with a 17% higher risk of developing T2DM compared to the reference group that slept 5-7 hours per night. The adjusted hazard ratio (HR) for the short sleep group was 1.17 (95% CI: 1.02-1.33), meaning these participants were significantly more likely to develop diabetes. This elevated risk was seen mainly in men, non-obese individuals, and participants younger than 60 years old. Non-obese individuals who slept less than 5 hours had a 34% higher risk of diabetes (HR: 1.34) compared to the reference group.

Long Sleep (>7 hours per night)

Long sleep did not increase the risk of diabetes in the general population but showed a higher risk among obese individuals (HR: 1.13). This suggests that excess sleep might indicate other health problems, such as poor sleep quality or fragmented sleep, particularly in obese individuals. The researchers noted, "Long sleep duration can reflect underlying poor metabolic conditions such as low physical activity, depression, and obesity."


In contrast, the reference group, who slept between 5 and 7 hours per night, had the lowest risk of developing diabetes, reinforcing the idea that this amount of sleep is optimal for metabolic health. The researchers also found that sleep duration had no significant interaction with age or sex, but men and younger individuals were more affected by short sleep durations.

Man sleeping in the background with an alarm clock.

How Sleep Duration and Obesity Impact Diabetes Risk

The study highlighted that sleep duration affects individuals differently based on their body weight. For non-obese individuals, especially those under 60, sleeping less than 5 hours per night significantly increased their chances of developing diabetes. Short sleep may lead to increased hunger due to hormonal imbalances, which encourages overeating and weight gain, eventually contributing to diabetes. The researchers noted that "sleep deprivation increases appetite by altering daily levels of ghrelin and leptin," hormones that regulate hunger and fullness. Additionally, short sleep can increase insulin resistance, which is a critical factor in developing T2DM.


For obese individuals, the risk pattern was different. Instead of short sleep, long sleep (more than 7 hours per night) was linked to a higher risk of T2DM. Obese individuals may experience poor sleep quality despite long sleep durations, possibly due to conditions like sleep apnea or fragmented sleep. According to the study, "obesity modifies the effect of long sleep on diabetes risk, as it may reflect disrupted sleep patterns in these individuals." This suggests that while more sleep may seem beneficial, it could signal underlying health issues, particularly in those with obesity.

Why Proper Sleep Duration is Key to Preventing Diabetes

This study emphasizes the importance of maintaining the right amount of sleep to reduce the risk of type 2 diabetes. For non-obese individuals, particularly younger men, sleeping less than 5 hours per night can lead to a significantly higher risk of developing diabetes. For obese individuals, sleeping too much—more than 7 hours—may also increase their risk due to poor sleep quality or other metabolic issues. As the researchers concluded, "the impact of sleep deprivation on the risk of diabetes was confined to non-obese individuals and those under 60 years old."


Public health interventions should address physical activity, diet, and sleep hygiene. Encouraging healthy sleep habits, especially in high-risk groups like younger men and non-obese people, may help reduce the overall risk of T2DM. Given the complex relationship between sleep, obesity, and diabetes, healthcare providers should tailor sleep recommendations based on individual risk factors.

Checking blood sugar.

Why Getting the Right Amount of Sleep Lowers Your Risk of Diabetes

This 16-year study confirms that both sleeping too little and too much can increase your risk of developing type 2 diabetes, especially when combined with factors like obesity and age. For non-obese individuals, particularly those younger than 60, getting less than 5 hours of sleep per night significantly raises the risk.


On the other hand, obese individuals who sleep more than 7 hours are also at greater risk of developing diabetes. These findings highlight the importance of maintaining a balanced sleep routine to support overall health. If you're aiming to lower your diabetes risk, it's crucial to monitor both the quantity and quality of your sleep, in addition to managing your diet and exercise.

Meet the Author

Dr. James Pendleton

Dr. James Pendleton is a primary care physician specializing in a naturopathic approach to family medicine. He has nurtured a family practice in Seattle, directed a VIP medical center in Abu Dhabi, published several books and scientific articles, and designed innovative nutritional supplements for manufacturers worldwide.

REFERENCES

  1. Grandner, M. A., Schopfer, E. A., Sands-Lincoln, M., Jackson, N., & Malhotra, A. (2015). Relationship between sleep duration and body mass index depends on age. Obesity (Silver Spring, Md.), 23(12), 2491–2498. https://doi.org/10.1002/oby.21247
  2. Grandner, M. A., Seixas, A., Shetty, S., & Shenoy, S. (2016). Sleep Duration and Diabetes Risk: Population Trends and Potential Mechanisms. Current diabetes reports, 16(11), 106. https://doi.org/10.1007/s11892-016-0805-8
  3. Lee, D. Y., Jung, I., Park, S. Y., Yu, J. H., Seo, J. A., Kim, K. J., Kim, N. H., Yoo, H. J., Kim, S. G., Choi, K. M., Baik, S. H., Lee, S. K., Shin, C., & Kim, N. H. (2023). Sleep duration and the risk of type 2 diabetes: A community-based cohort study with a 16-year follow-up. Endocrinology and Metabolism, 38(1), 146-155. https://doi.org/10.3803/EnM.2022.1582
  4. Liu, W., Zhang, R., Tan, A., Ye, B., Zhang, X., Wang, Y., Zou, Y., Ma, L., Chen, G., Li, R., & Moore, J. B. (2019). Long sleep duration predicts a higher risk of obesity in adults: a meta-analysis of prospective cohort studies. Journal of public health (Oxford, England), 41(2), e158–e168. https://doi.org/10.1093/pubmed/fdy135
  5. Nôga, D. A., Meth, E. M. E. S., Pacheco, A. P., Tan, X., Cedernaes, J., van Egmond, L. T., Xue, P., & Benedict, C. (2024). Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults. JAMA network open, 7(3), e241147. https://doi.org/10.1001/jamanetworkopen.2024.1147
  6. Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., Shaw, J. E., Bright, D., Williams, R., & IDF Diabetes Atlas Committee (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes research and clinical practice, 157, 107843. https://doi.org/10.1016/j.diabres.2019.107843