Add like
Add dislike
Add to saved papers

A cross-sectional analysis of the association between sleep disorders and cancer using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2014.

STUDY OBJECTIVES: Cancer is one of the main causes of death in the world, while sleep disorders are a serious public health problem, especially in large cities, insomnia and obstructive sleep apnea (OSA) being the most common. In the last decade, studies have pointed to a possible association between sleep disorders and cancer. The aim of this study is to evaluate whether there is any association between sleep disorders and cancer diagnosis.

METHODS: Five National Health and Nutrition Examination Surveys (NHANES) (2005-2014) from the United States were combined in order to obtain the sample. Two main sleep variables were assessed: having trouble sleeping and/or ever telling a doctor you had a sleep problem. The odds ratio of ever having a cancer diagnosis was the main outcome. Data was analyzed by binary logistic regression models in Jamovi.

RESULTS: The final sample comprised 26,821 participants. Individuals who reported having trouble sleeping had an odds ratio (OR)=1.48 (95% CI=[1.336-1.646]; p<0.001) of having been diagnosed with cancer, and those who had already been diagnosed with a sleep disorder presented an OR=1.21 (95% CI=[1.046-1.415]; p=0.011), showing an increased chance of having been diagnosed with cancer. In men, these values were even greater, presenting an OR=1.56 (95% CI=[1.321-1.843]; p<0.001) and an OR=1.26 (95% CI=[1.013-1.582]; p=0.037), respectively, for having trouble sleeping and for having been diagnosed with a sleep disorders, in relation to having been diagnosed with cancer.

CONCLUSIONS: Individuals who had trouble sleeping or who had been diagnosed with a sleep disorder at any time in their life were more likely to have been diagnosed with cancer.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app