Working the late shift may increase risk of some cancers
Key Takeaways
New research published in Cancer Epidemiology, Biomarkers & Prevention showed that women who work the night shift have an increased risk of breast, skin, and gastrointestinal cancers. The study analyzed data from North America, Europe, Australia, and Asia.
“By systematically integrating a multitude of previous data, we found that night shift work was positively associated with several common cancers in women,” said Xuelei Ma, PhD, oncologist at State Key Laboratory of Biotherapy and Cancer Center, West China Medical Center of Sichuan University, Chengdu, China. “The results of this research suggest the need for health protection programs for long-term female night shift workers.”
As breast cancer is the most diagnosed cancer among women worldwide, Dr. Ma explained that most previous meta-analyses have focused on understanding the association between female night shift workers and breast cancer risk. The conclusions have been inconsistent.
To build upon previous studies, Dr. Ma and colleagues analyzed whether long-term night shift work in women was associated with risk for nearly a dozen types of cancer.
The team performed a meta-analysis using data from 61 articles comprising 114,628 cancer cases and 3,909,152 participants. The articles consisted of 26 cohort studies, 24 case-control studies, and 11 nested case-control studies. These studies were analyzed for an association between long-term night shift work and risk of 11 types of cancer. A further analysis looked specifically at long-term night shift work and risk of six types of cancer among female nurses.
Overall, long-term night shift work among women increased the risk of cancer by 19%. When analyzing specific cancers, the researchers found that this population had an increased risk of skin (41%), breast (32%), and gastrointestinal (18%) cancers compared with women who did not perform long-term night shift work.
After stratifying the participants by location, Dr. Ma found that an increased risk of breast cancer was only found among female night shift workers in North America and Europe.
“We were surprised to see the association between night shift work and breast cancer risk only among women in North America and Europe,” he explained. “It is possible that women in these locations have higher sex hormone levels, which have been positively associated with hormone-related cancers such as breast cancer.”
Among female nurses alone, those who worked the night shift had an increased risk of breast (58%), gastrointestinal (35%), and lung (28%) cancers compared with those who did not work at night. Of all the occupations analyzed, nurses who worked night shifts had the highest risk of developing breast cancer.
“Nurses who worked the night shift were of a medical background and may have been more likely to undergo screening examinations,” Dr. Ma noted. “Another possible explanation for the increased cancer risk in this population may relate to the job requirements of night shift nursing, such as more intensive shifts.”
The researchers also performed a dose-response meta-analysis among breast cancer studies that involved three or more levels of exposure. They found that the risk of breast cancer increased by 3.3% for every five years of night shift work.
“Our study indicates that night shift work serves as a risk factor for common cancers in women,” said Dr. Ma. “These results might help establish and implement effective measures to protect female night shifters. Long-term night shift workers should have regular physical examinations and cancer screenings.”
He added that as the prevalence of shift work is expanding worldwide and the public cancer burden is heavy, he hopes that the study draws enough attention to spark larger cohort studies to confirm the associations.
A limitation of the study was a lack of consistency between studies regarding the definition of “long-term” night shift work, with definitions including “working during the night” and “working at least three nights per month.” Additional limitations include significant between-study heterogeneity and publication bias.