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. 2024 Jul 25;5(1):zpae051.
doi: 10.1093/sleepadvances/zpae051. eCollection 2024.

Sex-specific associations between habitual snoring and cancer prevalence: insights from a US Cohort Study

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Sex-specific associations between habitual snoring and cancer prevalence: insights from a US Cohort Study

Qinglan Ding et al. Sleep Adv. .

Abstract

Study objectives: 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.

Methods: This study utilized data from the National Health and Nutrition Examination Survey cycles between 2005 and 2020 and included 15 892 participants aged 18 and over. We employed inverse probability of treatment weighting 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.

Results: The cohort (mean age 48.2 years, 50.4% female, and 30.5% habitual snorers) reported 1385 cancer cases. In men, habitual snoring was linked to 26% lower odds of any cancer (OR 0.74, 95% CI: 0.66 to 0.83), while in women, it showed no significant difference except lower odds of breast cancer (OR 0.77, 95% CI: 0.63 to 0.94) and higher odds of cervix cancer (OR 1.54, 95% CI: 1.18 to 2.01). Age and sleep duration significantly influenced the snoring-cancer relationship, with notable variations by cancer type and sex.

Conclusions: 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 fully understand these complex relationships.

Keywords: age; cancer prevalence; inverse probability of treatment weighting; population-based; propensity score; sex differences; sleep duration; snoring.

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Figures

Figure 1.
Figure 1.
IPTW-weighted relationship between snoring frequency and cancer prevalence, stratified by sex. Variables included in the propensity model: demographics-sex, age, poverty levels, race/ethnicity, education, marital status, health insurance status; clinical factors-hypertension, asthma, diabetes, cardiometabolic disease, BMI; lifestyle factors-alcohol use, smoking status; sleep-related characteristics: restless leg syndrome, sleep apnea.

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