{"title":"Sex-Specific Associations Between Habitual Snoring and Cancer Prevalence: Insights from a U.S. Cohort Study","authors":"Qinglan Ding, Jeph Herrin, Meir Kryger","doi":"10.1093/sleepadvances/zpae051","DOIUrl":null,"url":null,"abstract":"\n \n \n To investigate the sex-specific association between habitual snoring and overall cancer prevalence and subtypes, and to examine the influence of age, body mass index (BMI), and sleep duration on this association.\n \n \n \n This study utilized data from the National Health and Nutrition Examination Survey (NHANES) cycles between 2005 and 2020 and included 15,892 participants aged 18 and over. We employed inverse probability of treatment weighting (IPTW) based on propensity scores to adjust for confounders when comparing the prevalence of cancer between habitual snorers and non-habitual snorers for each sex and cancer type. Subgroup analyses were conducted based on sleep duration, age, and BMI categories.\n \n \n \n The cohort (mean age 48.2 years, 50.4% female, 30.5% habitual snorers) reported 1,385 cancer cases. In men, habitual snoring was linked to 26% lower odds of any cancer (OR 0.74, 95% CI 0.66-0.83), while in women, it showed no significant difference except lower odds of breast cancer (OR 0.77, 95% CI 0.63-0.94) and higher odds of cervix cancer (OR 1.54, 95% CI 1.18-2.01). Age and sleep duration significantly influenced the snoring-cancer relationship, with notable variations by cancer type and sex.\n \n \n \n Habitual snoring exhibits sex-specific associations with cancer prevalence, showing lower prevalence in men and varied results in women. These findings emphasize the critical need for further research to uncover the biological mechanisms involved. Future investigations should consider integrating sleep characteristics with cancer prevention and screening strategies, focusing on longitudinal research and the integration of genetic and biomarker analyses to full understand these complex relationships.\n","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":"56 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLEEP Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/sleepadvances/zpae051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To investigate the sex-specific association between habitual snoring and overall cancer prevalence and subtypes, and to examine the influence of age, body mass index (BMI), and sleep duration on this association.
This study utilized data from the National Health and Nutrition Examination Survey (NHANES) cycles between 2005 and 2020 and included 15,892 participants aged 18 and over. We employed inverse probability of treatment weighting (IPTW) based on propensity scores to adjust for confounders when comparing the prevalence of cancer between habitual snorers and non-habitual snorers for each sex and cancer type. Subgroup analyses were conducted based on sleep duration, age, and BMI categories.
The cohort (mean age 48.2 years, 50.4% female, 30.5% habitual snorers) reported 1,385 cancer cases. In men, habitual snoring was linked to 26% lower odds of any cancer (OR 0.74, 95% CI 0.66-0.83), while in women, it showed no significant difference except lower odds of breast cancer (OR 0.77, 95% CI 0.63-0.94) and higher odds of cervix cancer (OR 1.54, 95% CI 1.18-2.01). Age and sleep duration significantly influenced the snoring-cancer relationship, with notable variations by cancer type and sex.
Habitual snoring exhibits sex-specific associations with cancer prevalence, showing lower prevalence in men and varied results in women. These findings emphasize the critical need for further research to uncover the biological mechanisms involved. Future investigations should consider integrating sleep characteristics with cancer prevention and screening strategies, focusing on longitudinal research and the integration of genetic and biomarker analyses to full understand these complex relationships.