Abstract
| Original language | English |
|---|---|
| Article number | 101848 |
| Number of pages | 11 |
| Journal | Sleep Medicine Reviews |
| Volume | 72 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Dec 2023 |
Keywords
- Endometrial cancer
- Individual data
- Meta-analysis
- Night shift work
- Pooled analysis
- Sleep duration
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In: Sleep Medicine Reviews, Vol. 72, No. 1, 101848, 01.12.2023.
Research output: Contribution to journal › (Systematic) Review article › peer-review
TY - JOUR
T1 - Night shift work, sleep duration and endometrial cancer risk
T2 - A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
AU - Frias-Gomez, Jon
AU - Alemany, Laia
AU - Benavente, Yolanda
AU - Clarke, Megan A.
AU - de Francisco, Javier
AU - De Vivo, Immaculata
AU - Du, Mengmeng
AU - Goodman, Marc T.
AU - Lacey, James
AU - Liao, Linda M.
AU - Lipworth, Loren
AU - Lu, Lingeng
AU - Merritt, Melissa A.
AU - Michels, Kara A.
AU - O'Connell, Kelli
AU - Paytubi, Sonia
AU - Pelegrina, Beatriz
AU - Peremiquel-Trillas, Paula
AU - Petruzella, Stacey
AU - Ponce, Jordi
AU - Risch, Harvey
AU - Setiawan, Veronica Wendy
AU - Schouten, Leo J.
AU - Shu, Xiao ou
AU - Trabert, Britton
AU - Van den Brandt, Piet A.
AU - Wentzensen, Nicolas
AU - Wilkens, Lynne R.
AU - Yu, Herbert
AU - Costas, Laura
AU - Epidemiology of Endometrial Cancer Consortium (E2C2)
N1 - Funding Information: We thank CERCA Programme/Generalitat de Catalunya for institutional support (Screenwide). We also thank Irene Onieva, Fátima Marin, Alvaro Carmona, Marta López-Querol, José Manuel Martínez, Sergi Fernandez-Gonzalez, Eduard Dorca, Alba Zanca, Lara Pijuan, Joan Brunet, Marta Pineda, Xavier Matías-Guiu, Manolis Kogevinas, Silvia de Sanjosé and Xavier Bosch for their contributions. The California Teachers Study and the research reported in this publication were supported by the National Cancer Institute of the National Institutes of Health under award number U01-CA199277 ; P30-CA033572 ; P30-CA023100 ; UM1-CA164917 ; and R01-CA077398 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health . “The collection of cancer incidence data used in the California Teachers Study was supported by the California Department of Public Health pursuant to California Health and Safety Code Section 103885; Centers for Disease Control and Prevention’s National Program of Cancer Registries , under cooperative agreement 5NU58DP006344 ; the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract HHSN261201800032I awarded to the University of California, San Francisco , contract HHSN261201800015I awarded to the University of Southern California , and contract HHSN261201800009I awarded to the Public Health Institute . The opinions, findings, and conclusions expressed herein are those of the author(s) and do not necessarily reflect the official views of the State of California, Department of Public Health, the National Cancer Institute, the National Institutes of Health, the Centers for Disease Control and Prevention or their Contractors and Subcontractors, or the Regents of the University of California, or any of its programs. The authors would like to thank the California Teachers Study Steering Committee that is responsible for the formation and maintenance of the Study within which this research was conducted. A full list of California Teachers Study team members is available at https://www.calteachersstudy.org/team . (NHS). National Cancer Institute/National Institutes of Health ( R35 CA39779 , R01 CA47749 , R01 CA75977 , N01 HD 2 3166 , K05 CA92002 , R01 CA105212 , R01 CA87538 ) (HAW). This research was supported [in part] by the Intramural Research Program of the NIH, National Cancer Institute . Cancer incidence data from the Atlanta metropolitan area were collected by the Georgia Center for Cancer Statistics, Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia. Cancer incidence data from California were collected by the California Cancer Registry, California Department of Public Health’s Cancer Surveillance and Research Branch, Sacramento, California. Cancer incidence data from the Detroit metropolitan area were collected by the Michigan Cancer Surveillance Program, Community Health Administration, Lansing, Michigan. The Florida cancer incidence data used in this report were collected by the Florida Cancer Data System (Miami, Florida) under contract with the Florida Department of Health, Tallahassee, Florida. The views expressed herein are solely those of the authors and do not necessarily reflect those of the FCDC or FDOH. Cancer incidence data from Louisiana were collected by the Louisiana Tumor Registry, Louisiana State University Health Sciences Center School of Public Health, New Orleans, Louisiana. Cancer incidence data from New Jersey were collected by the New Jersey State Cancer Registry, The Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey. Cancer incidence data from North Carolina were collected by the North Carolina Central Cancer Registry, Raleigh, North Carolina. Cancer incidence data from Pennsylvania were supplied by the Division of Health Statistics and Research, Pennsylvania Department of Health, Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions. Cancer incidence data from Arizona were collected by the Arizona Cancer Registry, Division of Public Health Services, Arizona Department of Health Services, Phoenix, Arizona. Cancer incidence data from Texas were collected by the Texas Cancer Registry, Cancer Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas. Cancer incidence data from Nevada were collected by the Nevada Central Cancer Registry, Division of Public and Behavioral Health, State of Nevada Department of Health and Human Services, Carson City, Nevada. We are indebted to the participants in the NIH-AARP Diet and Health Study for their outstanding cooperation. We also thank Sigurd Hermansen and Kerry Grace Morrissey from Westat for study outcomes ascertainment and management and Leslie Carroll at Information Management Services for data support and analysis (NIH-AARP). Intramural Research Programs of the NCI, NIH, Department of Health and Human Services, United States (PECS). Funding Information: This work was conducted with the contribution of the Carlos III Health Institute through projects PI19/01835, CM19/00216, FI20/00031, MV21/00061 and MV20/00029 as well as through CIBERESP CB06/02/0073, co-financed by the European Regional Development Fund ERDF, a way to build Europe. It was also conducted with the support of the Secretariat for Universities and Research of the Department of Business and Knowledge of the Generalitat de Catalunya grants to support the activities of research group 2021SGR01354 (Screenwide). R01CA098346 (CECS). P30 CA008748; R01CA83918; U01 CA250476 (EDGE). This investigation was supported in part by USPHS Grants P01-CA-33619, R01-CA-58598, R01-CA-55700, and P20-CA-57113 and by contracts N01–CN-05223 and N01–CN-55424 from the National Cancer Institute, NIH, Department of Health and Human Services (HAW). U01CA164973, RO3CA135632 (MEC). 2R01 CA082838 and P01 CA87969 (NHS). ZIA CP010126 (PECS). U01CA202979 (SCCS).We thank CERCA Programme/Generalitat de Catalunya for institutional support (Screenwide). We also thank Irene Onieva, Fátima Marin, Alvaro Carmona, Marta López-Querol, José Manuel Martínez, Sergi Fernandez-Gonzalez, Eduard Dorca, Alba Zanca, Lara Pijuan, Joan Brunet, Marta Pineda, Xavier Matías-Guiu, Manolis Kogevinas, Silvia de Sanjosé and Xavier Bosch for their contributions. The California Teachers Study and the research reported in this publication were supported by the National Cancer Institute of the National Institutes of Health under award number U01-CA199277; P30-CA033572; P30-CA023100; UM1-CA164917; and R01-CA077398. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health. “The collection of cancer incidence data used in the California Teachers Study was supported by the California Department of Public Health pursuant to California Health and Safety Code Section 103885; Centers for Disease Control and Prevention's National Program of Cancer Registries, under cooperative agreement 5NU58DP006344; the National Cancer Institute's Surveillance, Epidemiology and End Results Program under contract HHSN261201800032I awarded to the University of California, San Francisco, contract HHSN261201800015I awarded to the University of Southern California, and contract HHSN261201800009I awarded to the Public Health Institute. The opinions, findings, and conclusions expressed herein are those of the author(s) and do not necessarily reflect the official views of the State of California, Department of Public Health, the National Cancer Institute, the National Institutes of Health, the Centers for Disease Control and Prevention or their Contractors and Subcontractors, or the Regents of the University of California, or any of its programs. The authors would like to thank the California Teachers Study Steering Committee that is responsible for the formation and maintenance of the Study within which this research was conducted. A full list of California Teachers Study team members is available at https://www.calteachersstudy.org/team. (NHS). National Cancer Institute/National Institutes of Health (R35 CA39779, R01 CA47749, R01 CA75977, N01 HD 2 3166, K05 CA92002, R01 CA105212, R01 CA87538) (HAW). This research was supported [in part] by the Intramural Research Program of the NIH, National Cancer Institute. Cancer incidence data from the Atlanta metropolitan area were collected by the Georgia Center for Cancer Statistics, Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia. Cancer incidence data from California were collected by the California Cancer Registry, California Department of Public Health's Cancer Surveillance and Research Branch, Sacramento, California. Cancer incidence data from the Detroit metropolitan area were collected by the Michigan Cancer Surveillance Program, Community Health Administration, Lansing, Michigan. The Florida cancer incidence data used in this report were collected by the Florida Cancer Data System (Miami, Florida) under contract with the Florida Department of Health, Tallahassee, Florida. The views expressed herein are solely those of the authors and do not necessarily reflect those of the FCDC or FDOH. Cancer incidence data from Louisiana were collected by the Louisiana Tumor Registry, Louisiana State University Health Sciences Center School of Public Health, New Orleans, Louisiana. Cancer incidence data from New Jersey were collected by the New Jersey State Cancer Registry, The Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey. Cancer incidence data from North Carolina were collected by the North Carolina Central Cancer Registry, Raleigh, North Carolina. Cancer incidence data from Pennsylvania were supplied by the Division of Health Statistics and Research, Pennsylvania Department of Health, Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions. Cancer incidence data from Arizona were collected by the Arizona Cancer Registry, Division of Public Health Services, Arizona Department of Health Services, Phoenix, Arizona. Cancer incidence data from Texas were collected by the Texas Cancer Registry, Cancer Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas. Cancer incidence data from Nevada were collected by the Nevada Central Cancer Registry, Division of Public and Behavioral Health, State of Nevada Department of Health and Human Services, Carson City, Nevada. We are indebted to the participants in the NIH-AARP Diet and Health Study for their outstanding cooperation. We also thank Sigurd Hermansen and Kerry Grace Morrissey from Westat for study outcomes ascertainment and management and Leslie Carroll at Information Management Services for data support and analysis (NIH-AARP). Intramural Research Programs of the NCI, NIH, Department of Health and Human Services, United States (PECS). Funding Information: This work was conducted with the contribution of the Carlos III Health Institute through projects PI19/01835 , CM19/00216 , FI20/00031 , MV21/00061 and MV20/00029 as well as through CIBERESP CB06/02/0073 , co-financed by the European Regional Development Fund ERDF , a way to build Europe. It was also conducted with the support of the Secretariat for Universities and Research of the Department of Business and Knowledge of the Generalitat de Catalunya grants to support the activities of research group 2021SGR01354 (Screenwide). R01CA098346 (CECS) . P30 CA008748 ; R01CA83918 ; U01 CA250476 (EDGE) . This investigation was supported in part by USPHS Grants P01-CA-33619 , R01-CA-58598 , R01-CA-55700 , and P20-CA-57113 and by contracts N01–CN-05223 and N01–CN-55424 from the National Cancer Institute, NIH , Department of Health and Human Services (HAW). U01CA164973 , RO3CA135632 (MEC) . 2R01 CA082838 and P01 CA87969 (NHS) . ZIA CP010126 (PECS) . U01CA202979 (SCCS) . Publisher Copyright: © 2023 Elsevier Ltd
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Data on the role of circadian related factors in the etiology of endometrial cancer are scarce. We collected individual data on night shift work or daily sleep duration from 7,207 cases and 22,027 controls participating in 11 studies from the Epidemiology of Endometrial Cancer Consortium (E2C2). Main analyses were performed among postmenopausal women: 6,335 endometrial cancer cases and 18,453 controls. Using individual data, study-specific odd ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated with logistic regression and pooled analyses were conducted using random-effects meta-analyses. A non-significant inverse association was observed between endometrial cancer and night shift work (OR=0.89, 95%CI=0.72–1.09; I2=0.0%, Pheterogeneity=0.676). Associations did not vary by shift type (permanent or rotating), or duration of night work. Categorizations of short (<7h) or long (=9h) sleep duration were not associated with endometrial cancer risk (ORshort=1.02, 95%CI=0.95–1.10; I2=55.3%, Pheterogeneity=0.022; ORlong=0.93, 95%CI=0.81–1.06; I2=11.5%, Pheterogeneity=0.339). No associations were observed per 1-h increment of sleep (OR=0.98, 95%CI=0.95–1.01; I2=46.1%, Pheterogeneity=0.063), but an inverse association was identified among obese women (OR=0.93, 95%CI=0.89–0.98 per 1-h increment; I2=12.7%, Pheterogeneity=0.329). Overall, these pooled analyses provide evidence that night shift work and sleep duration are not strong risk factors for endometrial cancer in postmenopausal women.
AB - Data on the role of circadian related factors in the etiology of endometrial cancer are scarce. We collected individual data on night shift work or daily sleep duration from 7,207 cases and 22,027 controls participating in 11 studies from the Epidemiology of Endometrial Cancer Consortium (E2C2). Main analyses were performed among postmenopausal women: 6,335 endometrial cancer cases and 18,453 controls. Using individual data, study-specific odd ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated with logistic regression and pooled analyses were conducted using random-effects meta-analyses. A non-significant inverse association was observed between endometrial cancer and night shift work (OR=0.89, 95%CI=0.72–1.09; I2=0.0%, Pheterogeneity=0.676). Associations did not vary by shift type (permanent or rotating), or duration of night work. Categorizations of short (<7h) or long (=9h) sleep duration were not associated with endometrial cancer risk (ORshort=1.02, 95%CI=0.95–1.10; I2=55.3%, Pheterogeneity=0.022; ORlong=0.93, 95%CI=0.81–1.06; I2=11.5%, Pheterogeneity=0.339). No associations were observed per 1-h increment of sleep (OR=0.98, 95%CI=0.95–1.01; I2=46.1%, Pheterogeneity=0.063), but an inverse association was identified among obese women (OR=0.93, 95%CI=0.89–0.98 per 1-h increment; I2=12.7%, Pheterogeneity=0.329). Overall, these pooled analyses provide evidence that night shift work and sleep duration are not strong risk factors for endometrial cancer in postmenopausal women.
KW - Endometrial cancer
KW - Individual data
KW - Meta-analysis
KW - Night shift work
KW - Pooled analysis
KW - Sleep duration
U2 - 10.1016/j.smrv.2023.101848
DO - 10.1016/j.smrv.2023.101848
M3 - (Systematic) Review article
SN - 1087-0792
VL - 72
JO - Sleep Medicine Reviews
JF - Sleep Medicine Reviews
IS - 1
M1 - 101848
ER -