Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study
BackgroundBaseline sleep duration is associated with cancer risk and cancer-specific mortality; however, the association between longitudinal patterns of sleep duration and these risks remains unknown. ObjectiveThis study aimed to elucidate the association between...
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Language: | English |
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JMIR Publications
2024-02-01
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Series: | JMIR Public Health and Surveillance |
Online Access: | https://publichealth.jmir.org/2024/1/e50836 |
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author | Chenan Liu Qingsong Zhang Chenning Liu Tong Liu Mengmeng Song Qi Zhang Hailun Xie Shiqi Lin Jiangshan Ren Yue Chen Xin Zheng Jinyu Shi Li Deng Hanping Shi Shouling Wu |
author_facet | Chenan Liu Qingsong Zhang Chenning Liu Tong Liu Mengmeng Song Qi Zhang Hailun Xie Shiqi Lin Jiangshan Ren Yue Chen Xin Zheng Jinyu Shi Li Deng Hanping Shi Shouling Wu |
author_sort | Chenan Liu |
collection | DOAJ |
description |
BackgroundBaseline sleep duration is associated with cancer risk and cancer-specific mortality; however, the association between longitudinal patterns of sleep duration and these risks remains unknown.
ObjectiveThis study aimed to elucidate the association between sleep duration trajectory and cancer risk and cancer-specific mortality.
MethodsThe participants recruited in this study were from the Kailuan cohort, with all participants aged between 18 and 98 years and without cancer at baseline. The sleep duration of participants was continuously recorded in 2006, 2008, and 2010. Latent mixture modeling was used to identify shared sleep duration trajectories. Furthermore, the Cox proportional risk model was used to examine the association of sleep duration trajectory with cancer risk and cancer-specific mortality.
ResultsA total of 53,273 participants were included in the present study, of whom 40,909 (76.79%) were men and 12,364 (23.21%) were women. The average age of the participants was 49.03 (SD 11.76) years. During a median follow-up of 10.99 (IQR 10.27-11.15) years, 2705 participants developed cancers. Three sleep duration trajectories were identified: normal-stable (44,844/53,273, 84.18%), median-stable (5877/53,273, 11.03%), and decreasing low-stable (2552/53,273, 4.79%). Compared with the normal-stable group, the decreasing low-stable group had increased cancer risk (hazard ratio [HR] 1.39, 95% CI 1.16-1.65) and cancer-specific mortality (HR 1.54, 95% CI 1.18-2.06). Dividing the participants by an age cutoff of 45 years revealed an increase in cancer risk (HR 1.88, 95% CI 1.30-2.71) and cancer-specific mortality (HR 2.52, 95% CI 1.22-5.19) only in participants younger than 45 years, rather than middle-aged or older participants. Joint analysis revealed that compared with participants who had a stable sleep duration within the normal range and did not snore, those with a shortened sleep duration and snoring had the highest cancer risk (HR 2.62, 95% CI 1.46-4.70).
ConclusionsSleep duration trajectories and quality are closely associated with cancer risk and cancer-specific mortality. However, these associations differ with age and are more pronounced in individuals aged <45 years.
Trial RegistrationChinese Clinical Trial Registry ChiCTR–TNRC–11001489; http://tinyurl.com/2u89hrhx |
first_indexed | 2024-03-08T04:56:59Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 2369-2960 |
language | English |
last_indexed | 2024-03-08T04:56:59Z |
publishDate | 2024-02-01 |
publisher | JMIR Publications |
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spelling | doaj.art-ed78098f4b20417bbb7af05b425fe7192024-02-07T15:15:32ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-02-0110e5083610.2196/50836Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort StudyChenan Liuhttps://orcid.org/0000-0001-6089-2686Qingsong Zhanghttps://orcid.org/0009-0000-7141-3628Chenning Liuhttps://orcid.org/0000-0002-3166-5035Tong Liuhttps://orcid.org/0009-0006-6504-1569Mengmeng Songhttps://orcid.org/0000-0003-0258-3935Qi Zhanghttps://orcid.org/0000-0002-8434-3814Hailun Xiehttps://orcid.org/0009-0001-1770-5651Shiqi Linhttps://orcid.org/0009-0008-6995-2786Jiangshan Renhttps://orcid.org/0009-0005-9468-7863Yue Chenhttps://orcid.org/0000-0001-8085-8047Xin Zhenghttps://orcid.org/0009-0006-5365-8764Jinyu Shihttps://orcid.org/0000-0002-7646-4632Li Denghttps://orcid.org/0000-0001-8191-0265Hanping Shihttps://orcid.org/0000-0003-4514-8693Shouling Wuhttps://orcid.org/0000-0001-7095-6022 BackgroundBaseline sleep duration is associated with cancer risk and cancer-specific mortality; however, the association between longitudinal patterns of sleep duration and these risks remains unknown. ObjectiveThis study aimed to elucidate the association between sleep duration trajectory and cancer risk and cancer-specific mortality. MethodsThe participants recruited in this study were from the Kailuan cohort, with all participants aged between 18 and 98 years and without cancer at baseline. The sleep duration of participants was continuously recorded in 2006, 2008, and 2010. Latent mixture modeling was used to identify shared sleep duration trajectories. Furthermore, the Cox proportional risk model was used to examine the association of sleep duration trajectory with cancer risk and cancer-specific mortality. ResultsA total of 53,273 participants were included in the present study, of whom 40,909 (76.79%) were men and 12,364 (23.21%) were women. The average age of the participants was 49.03 (SD 11.76) years. During a median follow-up of 10.99 (IQR 10.27-11.15) years, 2705 participants developed cancers. Three sleep duration trajectories were identified: normal-stable (44,844/53,273, 84.18%), median-stable (5877/53,273, 11.03%), and decreasing low-stable (2552/53,273, 4.79%). Compared with the normal-stable group, the decreasing low-stable group had increased cancer risk (hazard ratio [HR] 1.39, 95% CI 1.16-1.65) and cancer-specific mortality (HR 1.54, 95% CI 1.18-2.06). Dividing the participants by an age cutoff of 45 years revealed an increase in cancer risk (HR 1.88, 95% CI 1.30-2.71) and cancer-specific mortality (HR 2.52, 95% CI 1.22-5.19) only in participants younger than 45 years, rather than middle-aged or older participants. Joint analysis revealed that compared with participants who had a stable sleep duration within the normal range and did not snore, those with a shortened sleep duration and snoring had the highest cancer risk (HR 2.62, 95% CI 1.46-4.70). ConclusionsSleep duration trajectories and quality are closely associated with cancer risk and cancer-specific mortality. However, these associations differ with age and are more pronounced in individuals aged <45 years. Trial RegistrationChinese Clinical Trial Registry ChiCTR–TNRC–11001489; http://tinyurl.com/2u89hrhxhttps://publichealth.jmir.org/2024/1/e50836 |
spellingShingle | Chenan Liu Qingsong Zhang Chenning Liu Tong Liu Mengmeng Song Qi Zhang Hailun Xie Shiqi Lin Jiangshan Ren Yue Chen Xin Zheng Jinyu Shi Li Deng Hanping Shi Shouling Wu Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study JMIR Public Health and Surveillance |
title | Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study |
title_full | Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study |
title_fullStr | Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study |
title_full_unstemmed | Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study |
title_short | Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study |
title_sort | age differences in the association of sleep duration trajectory with cancer risk and cancer specific mortality prospective cohort study |
url | https://publichealth.jmir.org/2024/1/e50836 |
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