» Articles » PMID: 28377487

Sleep Duration Across the Adult Lifecourse and Risk of Lung Cancer Mortality: A Cohort Study in Xuanwei, China

Overview
Specialty Oncology
Date 2017 Apr 6
PMID 28377487
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Sufficient sleep duration is crucial for maintaining normal physiological function and has been linked to cancer risk; however, its contribution to lung cancer mortality is unclear. Therefore, we evaluated the relationship between average sleep duration in various age-periods across the adult lifecourse, and risk of lung cancer mortality in Xuanwei, China. An ambidirectional cohort study was conducted in 42,422 farmers from Xuanwei, China. Participants or their surrogates were interviewed in 1992 to assess average sleep hours in the age periods of 21-30, 31-40, 41-50, 51-60, 61-70, and ≥71 years, which were categorized as ≤7, 8 (reference), 9, and ≥10 hours/day. Vital status was followed until 2011. Sex-specific Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for lung cancer mortality in 1994-2011, adjusted for demographic, anthropometric, medical, and household characteristics. J-shaped relationships were found between average sleep duration and lung cancer mortality. The patterns were consistent across sex, age periods, and fuel usage. Compared with sleeping 8 hours/day on average, ≤7 hours/day was associated with significantly increased HRs ranging from 1.39 to 1.58 in ages ≥41 years in men, and 1.29 to 2.47 in ages ≥51 years in women. Furthermore, sleeping ≥10 hours/day was associated with significantly increased HRs ranging from 2.44 to 3.27 in ages ≥41 year in men, and 1.31 to 2.45 in ages ≤60 years in women. Greater and less than 8 hours/day of sleep in various age-periods may be associated with elevated risk of lung cancer mortality in Xuanwei, China. .

Citing Articles

Association of sleep duration and all-cause and cancer-specific mortality: results of 2004 national health interview survey (NHIS).

Biswas P, Adebile T, Sejoro S, Liu M, Zhang X, Tu W Sleep Biol Rhythms. 2025; 23(1):55-65.

PMID: 39801935 PMC: 11717743. DOI: 10.1007/s41105-024-00551-y.


The association between sleep quantity, insomnia and lung cancer risk - A systematic review and meta-analysis.

Yeo B, Koh J, Shi B, Chan J, Ng A, Loh S Sleep Breath. 2024; 28(6):2325-2334.

PMID: 39145902 DOI: 10.1007/s11325-024-03092-3.


Exploring the association between sleep duration and cancer risk in middle-aged and older Chinese adults: observations from a representative cohort study (2011-2020).

Jiang Y, Gu X, Yang X, Sun A, Sun H BMC Public Health. 2024; 24(1):1819.

PMID: 38978056 PMC: 11232271. DOI: 10.1186/s12889-024-19313-z.


Causal associations of sleep traits with cancer incidence and mortality.

Tian S, Huangfu L, Bao Y, Ai S, Chang S, Wang Q Front Genet. 2023; 14:1309069.

PMID: 38075695 PMC: 10710159. DOI: 10.3389/fgene.2023.1309069.


Sleep Traits, Night Shift Work and Lung Cancer Risk among Women: Results from a Population-Based Case-Control Study in France (The WELCA Study).

Cordina-Duverger E, Uchai S, Tvardik N, Billmann R, Martin D, Tredaniel J Int J Environ Res Public Health. 2022; 19(23).

PMID: 36498320 PMC: 9740028. DOI: 10.3390/ijerph192316246.

References
1.
Tamakoshi A, Ohno Y . Self-reported sleep duration as a predictor of all-cause mortality: results from the JACC study, Japan. Sleep. 2004; 27(1):51-4. View

2.
Seow W, Hu W, Vermeulen R, Hosgood Iii H, Downward G, Chapman R . Household air pollution and lung cancer in China: a review of studies in Xuanwei. Chin J Cancer. 2014; 33(10):471-5. PMC: 4198749. DOI: 10.5732/cjc.014.10132. View

3.
Greenland S, Robins J . Identifiability, exchangeability, and epidemiological confounding. Int J Epidemiol. 1986; 15(3):413-9. DOI: 10.1093/ije/15.3.413. View

4.
Pronk A, Ji B, Shu X, Xue S, Yang G, Li H . Night-shift work and breast cancer risk in a cohort of Chinese women. Am J Epidemiol. 2010; 171(9):953-9. PMC: 2877476. DOI: 10.1093/aje/kwq029. View

5.
Hernan M, Robins J . Estimating causal effects from epidemiological data. J Epidemiol Community Health. 2006; 60(7):578-86. PMC: 2652882. DOI: 10.1136/jech.2004.029496. View