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Night work and breast cancer: A population-based case–control
study in France (the CECILE study)
Florence Menegaux1,2
, There`se Truong1,2
, Antoinette Anger1,2
, Emilie Cordina-Duverger1,2
, Farida Lamkarkach1,2
,
Patrick Arveux3
, Pierre Kerbrat4
, Jo€elle Fevotte5
and Pascal Guenel1,2,5
1
Inserm, CESP Center for research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, France
2
Univ Paris-Sud, UMRS 1018, Villejuif, France
3
Center Georges-Franc¸ois Leclerc, Departement d’informatique medicale, Dijon, France
4
Center Euge`ne Marquis, Rennes, France
5
Institut de Veille Sanitaire (InVS), Department of Occupational Health, Saint-Maurice, France
Night work involving disruption of circadian rhythm was suggested as a possible cause of breast cancer. We examined the
role of night work in a large population-based case-control study carried out in France between 2005 and 2008. Lifetime
occupational history including work schedules of each night work period was elicited in 1,232 cases of breast cancer and
1,317 population controls. Thirteen percent of the cases and 11% of the controls had ever worked on night shifts (OR 5 1.27
[95% confidence interval 5 0.99–1.64]). Odds ratios were 1.35 [1.01–1.80] in women who worked on overnight shifts, 1.40
[1.01–1.92] in women who had worked at night for 4.5 or more years, and 1.43 [1.01–2.03] in those who worked less than
three nights per week on average. The odds ratio was 1.95 [1.13–3.35] in women employed in night work for 4 years before
their first full-term pregnancy, a period where mammary gland cells are incompletely differentiated and possibly more
susceptible to circadian disruption effects. Our results support the hypothesis that night work plays a role in breast cancer,
particularly in women who started working at night before first full-term pregnancy.
Breast cancer is the most common cancer in women world-
wide with an annual incidence of $100 cases per 100,000 in
developed countries. It is estimated that over 1,300,000
women are diagnosed with breast cancer each year around
the world,1
and 53,000 in France.2
Recognized risk factors for breast cancer include genetic
mutations, family history of breast cancer, and several
aspects of reproductive history, but lifestyle, environmental,
or occupational causes of breast cancer are incompletely
identified.3
Following the publication of studies indicating a
possible role of night shift work in breast cancer, the Inter-
national Agency for Research on Cancer (IARC) in 2007
classified shift work that involves circadian disruption as
probably carcinogenic to humans, on the basis of sufficient
evidence in experimental animals and limited evidence of car-
cinogenicity in humans.4
Whether night work is implicated in
breast cancer etiology is of major importance for public health
because of the increasing number of women working on a non-
standard day schedule in modern societies. In 2005, for exam-
ple, 11% of European women were working on shifts that
included night work.5
Overall, among 12 epidemiological studies conducted so
far to investigate the association between night work and
breast cancer,6–17
eight reported positive associations,6–
10,14,15,17
of which six were cohort studies of nurses8–10,14,15
or radio and telegraph operators17
enrolled in shift work, and
two were population-based studies where night work was
assessed in a wide range of occupations.6,7
Other studies did
not report an association with breast cancer.11–13,16
Although
the body of evidence generally points to a role of night work
in breast cancer occurrence, there is a need of additional
studies to better identify the characteristics of night work
that may lead to an increased risk.18
Several mechanistic hypotheses for how shift work may
be related to cancer have been reviewed recently.19
They
include exposure to light at night that suppresses the noc-
turnal peak of melatonin and its associated anticarcinogenic
effects; disruption of the circadian rhythm regulated by sev-
eral ‘‘clock’’ genes controlling cell proliferation and apopto-
sis; repeated phase shifting leading to internal desynchroni-
zation and defects in the regulation of the circadian cell
cycle; and sleep deprivation that alters the immune
function.
Key words: case-control study, breast cancer, circadian disruption
Grant sponsor: Agence Nationale de securite sanitaire de
l’alimentation, de l’environnement et du travail (ANSES); Grant
number: 2010/2/2073; Grant sponsors: Agence Nationale de la
Recherche (ANR); Fondation de France; Institut National du Cancer
(INCA); Ligue contre le Cancer Grand Ouest; Association pour le
recherche contre le cancer (ARC)
DOI: 10.1002/ijc.27669
History: Received 27 Jan 2012; Accepted 24 May 2012; Online 12
June 2012
Correspondence to: Pascal Guenel, MD, PhD, CESP, for research
in Epidemiology and Population Health, U1018, Environmental
Epidemiology of Cancer, 16 av. Paul Vaillant Couturier, F-94807,
Villejuif, France, E-mail: pascal.guenel@inserm.fr
Epidemiology
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
International Journal of Cancer
IJC
The human breast undergoes several stages of maturation
throughout life, and may be particularly susceptible to carci-
nogens when exposure occurs during periods of mammary
gland development and differentiation such as puberty or
pregnancy.20
Although measuring environmental exposures
during critical periods of breast development in a woman’s
lifetime is a key issue for identifying exposures that may lead
to breast cancer later in life, the role of night work during
these critical exposure windows has not been specifically
investigated in epidemiological studies. Full differentiation of
the mammary gland occurs during first childbirth and lacta-
tion.21–23
It can thus be hypothesized that the risk of breast
cancer is particularly elevated when night work involving cir-
cadian disruption occurs in the period of life before first full-
term pregnancy, i.e., when mammary gland cells are incom-
pletely differentiated.
We conducted a large population-based case-control study
in France (CECILE) to investigate the role of environmental
and genetic factors in breast cancer that included data on
lifelong occupational history. In the present article, we ana-
lyzed the role of type, duration and frequency of night work
in breast cancer. We also focused on night work in the pe-
riod before first full-term pregnancy as a possible critical
window of exposure.
Material and Methods
Study population
Eligible cases were women aged 25–75 years, newly diagnosed
for breast cancer between 2005 and 2007 and residing in the
French departements of ‘‘Coˆte d’Or’’ or ‘‘Ille-et-Vilaine’’
(administrative areas) at the time of diagnosis. Patients were
recruited in the main cancer hospital of each area, as well as
from smaller public and private hospitals that also recruited
breast cancer patients, by specifically trained investigators. All
breast cancer diagnoses were confirmed histologically. Among
the 1,553 eligible cases identified during the study period,
163 refused to participate, 151 women could not be contacted
and 7 died before the interview. Finally, 1,232 (79%) incident
breast cancer cases were included in the study.
Controls were selected among general population women
free of cancer and resident in the study areas at the time of
the cases’ diagnoses. For including controls, quotas by age
were established as a preliminary to yield the control group
similar to the case group in terms of age to achieve fre-
quency-matching (10-year age group). Quotas by socio-eco-
nomic status (SES) were also set a priori to control for poten-
tial selection bias arising from differential participation rates
across SES categories. These quotas by SES were calculated
from the census data available in each study area, to obtain a
distribution by SES among controls identical to the SES dis-
tribution among general population women, conditionally to
age. The recruitment of controls was conducted as follows:
phone numbers of private homes were selected at random
from the telephone directory of each study area where
unlisted numbers had first been recreated. A phone number
was dialed up to 15 times at different times of the day and
different days of the week until contact could be established
with the residents. When a woman was living in the resi-
dence reached by phone, she was invited to participate to the
study, as long as the predefined quota corresponding to her
age group and socioeconomic status (SES) was not com-
pleted. When the quota was exceeded, the woman was
excluded. To obtain the desired number of controls within
the limits of age and SES categories, $30,000 phone numbers
were dialed for identifying 1,731 eligible controls. Among
these, 1,317 (76%) accepted to participate to an in-person
interview and were included in the study.
The study was approved by the French Ethic Committee
(Jan 2005), the National Data Protection Commission (Dec
2004) and the Advisory Committee on the Treatment of
Health Research Information (Apr 2004). All participants
signed informed consent before inclusion.
Data collection
A standardized questionnaire was administered during in-
person interviews by trained interviewers, to obtain informa-
tion on demographic and socioeconomic characteristics,
reproduction, medical history, family history of cancer, diet,
lifestyle factors, residential and occupational history over the
lifetime. A blood sample was also collected during interview.
For each job held for at least 6 consecutive months, we
obtained a description of the work tasks, work places, occu-
pational exposures and work schedules. Women were asked
whether they had worked for at least 1 hr between 11:00 pm
and 5:00 am during all or part of each job. We characterized
any night work period with the month and the year of begin-
ning and ending, the usual number of nights per week, and
the hour when the night shift started and ended. Any night
What’s new?
Data on lifelong occupational history collected as part of a population-based study conducted in France was used to
investigate the role of night work in breast cancer. The results indicate that night work increases breast cancer risk,
particularly in women who worked night shifts before their first full-term pregnancy. The findings suggest that incompletely
differentiated cells of the mammary gland before a woman’s first childbirth may be particularly susceptible to the potentially
carcinogenic effects of circadian disruption.
Epidemiology
Menegaux et al. 925
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
work period was categorized as overnight (night shift of 6
consecutive work hours or more spanning the time period
11:00 pm–5:00 am), late evening (night shift ending between
11:00 pm and 3:00 am), or early morning (night shift starting
between 3:00 and 5:00 am).
Statistical analysis
Unconditional logistic regression models were used to esti-
mate odds ratios (OR) and their 95% confidence intervals
(CI) using women who had never worked at night as the ref-
erence group. Analyses were systematically adjusted for the
original matching variables, i.e., age (5-year period) and study
area, and for well-established risk factors for breast cancer
categorized as follows: age at menarche (12, 12:reference,
13, 14, 15 years and more), age at first full-term pregnancy
(22, 22–24:reference, 25–27, 27 years), parity categorized
(nulliparous:reference, 1, 2, 3, 4þ children), current use of
menopausal hormone therapy (Yes, No), family history of
breast cancer in first-degree relatives (Yes, No), body mass
index according to the WHO categories (18.5, 18.5–24:ref-
erence, 25–30, 30), alcohol consumption ( 3 drinks/week:-
reference, 4–7 drinks/week, 8–14 drinks/week, 14 drinks/
week), and tobacco consumption (Never smokers: reference,
former smokers, current smokers). Duration of night work
was categorized into two groups according to the median
value among controls (4.5, !4.5 years or 4, 4 years for
the analysis of night work before first full-term pregnancy).
The average number of nights per week was categorized into
two groups according to the median of the distribution
among controls (3, !3). Analyses were also conducted after
stratification by age group (55 years, !55 years) used as a
proxy of menopausal status.
We also conducted analysis according to estrogen- or pro-
gesterone-receptor status (ER-positive or ER-negative, PR-
positive or PR-negative), and histological subtypes of breast
cancer using polytomous logistic regression models, but
results were not modified and are not shown.
Analyses were performed using SAS software (version 9.2,
Cary, NC).
Results
We included 1,232 breast cancer cases and 1,317 controls.
The distributions by age, study area and socioeconomic char-
acteristics are shown in Table 1. Cases and controls were
similarly distributed in terms of age and study area (stratifi-
cation variables). Cases were more frequently single and had
higher education levels than the controls.
Consistently with the literature, we found that the follow-
ing variables were associated with breast cancer (Table 2):
early age at menarche, late age at first full-term pregnancy,
low parity, current use of menopausal hormone therapy, low
body mass index in premenopausal women, lack of physical
activity and family history of breast cancer in first-degree rel-
atives. No association was apparent between breast cancer
and alcohol consumption, or high BMI in postmenopausal
women.
Night work
Overall, 311 women (12%) had ever worked during night shifts
(Table 3). Overnight work was the most frequent type of night
work schedule (n ¼ 222) followed by late evening work (n ¼
80) and early morning work (n ¼ 21). Night work was more
common among cases than among controls (OR ¼ 1.27 [CI ¼
0.99–1.64]) (Table 3). The odds ratio for overnight work (OR
¼ 1.35 [CI ¼ 1.01–1.80]) was slightly higher than the odds ra-
tio for late evening work (OR ¼ 1.25 [CI ¼ 0.79–1.98]). Early
morning shift was not associated with breast cancer.
Table 1. Tumor characteristics of breast cancer and
sociodemographic characteristics of cases and controls in the
CECILE study
Cases;
n ¼ 1,232
(%)
Controls;
n ¼ 1,317
(%) p
Histology
Ductal 980 (79.5)
Lobular 142 (11.5)
Mixed 25 (2.0)
Others 85 (7.0)
Hormone receptor status
ERþ/PRþ 794 (64.4)
ERÀ/PRÀ 171 (13.9)
ERþ/PRÀ 158 (12.8)
ERÀ/PRþ 10 (0.8)
Age at reference date (years)1
0.79
25–34 43 (3.5) 47 (3.6)
35–44 182 (14.9) 185 (14.1)
45–54 377 (30.5) 396 (30.0)
55–64 360 (29.2) 373 (28.4)
65–74 270 (21.9) 316 (23.9)
Study area1
0.12
Ile-et-Vilaine 841 (68.3) 861 (65.4)
Coˆte d’Or 391 (31.7) 456 (34.6)
Marital status2
0.03
Married or marital life 908 (73.7) 1,009 (76.6)
Single 86 (7.0) 58 (4.4)
Divorced or separated 135 (11.0) 129 (9.8)
Widow 103 (8.3) 121 (9.2)
Educational level2
0.02
Primary school 275 (23.3) 300 (22.8)
Basic secondary school 438 (35.6) 515 (39.1)
Secondary school 168 (13.6) 196 (14.9)
University education 351 (28.5) 305 (23.2)
1
Stratification variables. 2
p value adjusted for age and study area.
Epidemiology
926 Night work and breast cancer
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
Table 2. Odds ratios associated with family history of breast cancer, reproductive factors, lifestyle factors and body mass index in the CECILE
study
Cases; n ¼ 1,232 (%) Controls; n ¼ 1,317 (%) OR1
95% IC2
Family history of breast cancer in first-degree relatives
No 1,017 (82.6) 1,173 (89.1) 1.00 Reference
Yes 213 (17.3) 139 (10.6) 1.77 (1.40–2.23)
Age at menarche (years)
12 224 (18.4) 212 (16.3) 1.06 (0.83–1.36)
12 294 (24.2) 300 (23.0) 1.00 Reference
13 287 (23.6) 288 (22.1) 1.00 (0.79–1.26)
14 227 (18.7) 264 (20.2) 0.86 (0.68–1.10)
15þ 184 (15.1) 240 (18.4) 0.77 (0.60–0.99)
Age at first full-term pregnancy (years)
22 266 (24.4) 355 (28.9) 0.91 (0.73–1.14)
22–24 311 (28.4) 387 (31.4) 1.00 Reference
25–27 247 (22.4) 285 (23.2) 1.10 (0.88–1.39)
27 272 (24.8) 203 (16.6) 1.71 (1.34–2.17)
Parity
Nulliparous 136 (11.0) 87 (6.6) 1.00 Reference
1 195 (15.8) 175 (13.3) 0.72 (0.52–1.02)
2 484 (39.3) 469 (35.6) 0.64 (0.47–0.86)
3 294 (23.9) 398 (30.2) 0.45 (0.33–0.62)
4þ 123 (10.0) 188 (14.3) 0.40 (0.28–0.57)
Current use of menopausal hormone therapy
No 998 (81.0) 1,109 (84.2) 1.00 Reference
Yes 173 (14.0) 140 (10.6) 1.35 (1.05–1.73)
Physical activity
Never 388 (31.5) 365 (27.7) 1.00 Reference
At least 1 hr/week during 1 year 844 (68.5) 952 (72.3) 0.82 (0.69–0.98)
Alcohol
Never or 3 drink/week 960 (77.9) 993 (75.4) 1.00 Reference
4–7 drink/week 155 (12.6) 187 (14.2) 0.83 (0.66–1.05)
8–14 drink/week 67 (5.4) 87 (6.6) 0.76 (0.54–1.06)
14 drink/week 50 (4.1) 50 (3.8) 1.02 (0.68–1.04)
Body mass index (kg mÀ2
)
Women  50 years
18.5 28 (7.2) 15 (3.4) 1.85 (0.96–3.56)
18.5–24 276 (71.3) 285 (64.0) 1.00 Reference
25–30 57 (14.7) 95 (21.3) 0.61 (0.42–0.89)
30þ 26 (6.7) 50 (11.2) 0.54 (0.33–0.90)
Women ! 50 years
18.5 16 (1.9) 20 (2.3) 0.84 (0.43–1.65)
18.5–24 438 (52.1) 438 (50.3) 1.00 Reference
25–30 254 (30.2) 266 (30.6) 0.98 (0.78–1.22)
30þ 132 (15.7) 146 (16.8) 0.93 (0.71–1.22)
1
Adjusted for age and study area. 2
95% CI: 95% confidence interval.
Epidemiology
Menegaux et al. 927
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
Duration of night work of 4.5 or more years was associ-
ated with an OR of 1.40 [CI ¼ 1.01–1.92]. Working over-
night for 4.5 or more years yielded a similar odds ratio of
1.40 [CI ¼ 0.96–2.04].
The odds ratio in women who worked at night, less than
three nights per week on average was 1.43 [CI ¼ 1.01–2.03],
whereas it was only 1.14 [CI ¼ 0.82–1.59] in women who
worked at night !3 nights per week. Similarly, the ORs for
overnight shifts less than three nights per week and !3
nights per week were 1.61 [CI ¼ 1.07–2.42] and 1.13 [CI ¼
0.76–1.68], respectively.
In the analyses combining the duration of night work and
the average number of nights per week, the association with
breast cancer was particularly apparent among night workers
of long duration (!4.5 years) working less than three nights
per week on average (OR ¼ 1.83 [CI ¼ 1.15–2.93]). This
association was more pronounced when only overnight work
was considered (OR ¼ 2.09 [CI ¼ 1.26–3.45]).
In analyses restricted to parous women, we investigated
the effect of night work before or after first full-term preg-
nancy (FFTP) (Table 4). The odds ratio for breast cancer in
women who ever worked at night before FFTP was 1.47 [CI
¼ 1.02–2.12] as compared to never night workers, whereas it
was 1.09 [CI ¼ 0.77–1.55] in women who started working at
night after FFTP (Table 4). The odds ratio for night work
before FFTP was stronger among women who had been
working at night for 4 years before FFTP (OR ¼ 1.95 [CI
¼ 1.13–3.35]), and in those who worked at night less than
Table 3. Odds ratios for breast cancer associated with duration, frequency and type of night work among women of the CECILE study
Cases; n ¼ 1,232 (%) Controls; n ¼ 1,317 (%) OR1
95% CI2
Never worked at night 1,068 (86.7) 1,170 (88.8) 1.00 reference
Ever worked at night 164 (13.3) 147 (11.2) 1.27 (0.99–1.64)
Type of night work
Late evening3
42 (3.4) 38 (2.9) 1.25 (0.79–1.98)
Early morning4
9 (0.7) 12 (0.9) 0.90 (0.36–2.21)
Overnight5
120 (9.7) 102 (7.7) 1.35 (1.01–1.80)
Total duration of night work periods (years)
4.5 66 (5.4) 69 (5.2) 1.12 (0.78–1.60)
!4.5 98 (7.9) 78 (5.9) 1.40 (1.01–1.92)
Average frequency of night shifts (nights/week)
3 84 (6.8) 66 (5.0) 1.43 (1.01–2.03)
!3 80 (6.5) 81 (6.2) 1.14 (0.82–1.59)
Crossclassification of duration and frequency
4.5 years and 3 nights/week 30 (2.4) 35 (2.7) 1.04 (0.62–1.75)
4.5 years and !3 nights/week 36 (2.9) 34 (2.6) 1.19 (0.73–1.95)
!4.5 years and 3 nights/week 54 (4.4) 31 (2.4) 1.83 (1.15–2.93)
!4.5 years and !3 nights/week 44 (3.6) 47 (3.6) 1.10 (0.71–1.69)
Night work with overnight shifts
Total duration of night work periods with overnight shifts (years)
4.5 51 (4.3) 47 (3.7) 1.27 (0.83–1.94)
!4.5 69 (5.8) 55 (4.3) 1.40 (0.96–2.04)
Average frequency of overnight shifts (nights/week)
3 64 (5.4) 45 (3.5) 1.61 (1.07–2.42)
!3 56 (4.7) 57 (4.5) 1.13 (0.76–1.68)
Crossclassification of duration and frequency of overnight shifts
4.5 years and 3 nights/week 15 (1.3) 19 (1.5) 0.92 (0.45–1.89)
4.5 years and !3 nights/week 25 (2.1) 19 (1.5) 1.59 (0.86–2.96)
!4.5 years and 3 nights/week 49 (4.1) 26 (2.0) 2.09 (1.26–3.45)
!4.5 years and !3 nights/week 31 (2.6) 38 (3.0) 0.91 (0.55–1.50)
1
Adjusted for age, study area, parity, age at first full-term pregnancy, age at menarche, family history of breast cancer, current hormonal
replacement therapy, body mass index, tobacco and alcohol. 2
95% CI: 95% confidence interval. 3
Late evening: work shift ending between 11:00 pm
and 3:00 am. 4
Early morning: work shift starting between 3:00 am and 5:00 am. 5
Overnight: at least six consecutive work hours between 11:00 pm
and 5:00 am.
Epidemiology
928 Night work and breast cancer
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
three nights per week on average during this period of life (OR
¼ 2.24 [CI ¼ 1.35–3.71]). Combining duration and frequency
of night work before FFTP yielded an OR of 3.03 [CI ¼ 1.41–
6.50] for night work 4 years and 3 nights per week.
Analyses stratified by age group (55, !55 years) are pre-
sented in Table 5. Night work was more common among
younger (14.5%) than among older women (8.1%). Ever
working at night, or working at night before FFTP, was asso-
ciated with breast cancer in women below 55 years. Among
older women, there was some evidence of an increased risk
of breast cancer in women with long duration of night work
and working less than three nights per week.
Discussion
In this study, we have shown that breast cancer risk is associated
with characteristics of night work, and provided new evidence
that night work may play a role in the occurrence of the disease.
The association of night work with breast cancer was mainly
observed in women working during overnight shifts, those who
worked at night for 4.5 or more years and less than three nights
per week on average. The association was stronger in women
who worked at night before their first full-term pregnancy than
in women who started working at night later in life.
Overall, based on the available epidemiologic litera-
ture,8,9,12,13,24
the evidence of an association between night
work and breast cancer has been seen as limited. However,
cohort studies of nurses involved in night shift work8–10,14,15
have been more consistent than population-based studies.6,7
In these population-based studies, the large number of occu-
pational groups with various night work patterns, and the
lack of standardization of exposure assessment may explain
some of the inconsistencies, because the categories defining
type, duration and frequency of night work were based on
cut-off points that varied across studies, and may represent
different degrees of circadian disruption. It has been sug-
gested that several key domains should be used to better cap-
ture circadian disruption based on detailed information on
night work in epidemiological studies.18
Among those
domains were the rotating type of night-shift work, direction
and rate of rotation, and the number of consecutive nights at
work. It was also suggested to collect data on sleep habits,
and on subject chronotype.
In the present population-based study, our questionnaire
did not allow to go as deeply in the description of the night
shifts as recommended in this article, due to large differences
between night shift systems across occupations. Nevertheless,
we were able to categorize the type of night work using time
schedule data (late evening, overnight, early morning), and
examined the duration of night work in years as well as the
average number of nights per week.
We found that breast cancer risk increased for duration of
night work 4.5 years, a much shorter period than in cohort
Table 4. Odds ratios for breast cancer associated with night work after or before first full-term pregnancy (FFTP), and according to night work
characteristics before FFTP among parous women of the CECILE study
Cases; n ¼ 1,096 (%)1
Controls; n ¼ 1,230 (%)1
OR2
95% CI3
Never worked at night 954 (87.0) 1,093 (88.9) 1.00 reference
First night work after FFTP 66 (6.0) 78 (6.3) 1.09 (0.77–1.55)
Night work before FFTP 76 (6.9) 59 (4.8) 1.47 (1.02–2.12)
Type of night work before FFTP
Late evening4
18 (1.6) 11 (0.8) 1.89 (0.87–4.08)
Early morning5
6 (0.5) 9 (0.7) 1.09 (0.38–3.12)
Overnight6
52 (4.7) 39 (3.2) 1.49 (0.96–2.32)
Total duration of night work periods before FFTP (years)
4 years 33 (3.0) 36 (2.9) 1.15 (0.70–1.89)
4 years 43 (3.9) 23 (1.9) 1.95 (1.13–3.35)
Average frequency of night shifts before FFTP (nights/week)
3 nights/week 47 (4.3) 26 (2.1) 2.24 (1.35–3.71)
!3 nights/week 29 (2.6) 33 (2.7) 0.96 (0.56–1.62)
Crossclassification of duration and frequency of night shifts before FFTP
4 years and 3 nights/week 21 (1.9) 16 (1.3) 1.75 (0.89–3.42)
4 years and !3 nights/week 12 (1.1) 20 (1.6) 0.72 (0.34–1.51)
4 years and 3 nights/week 26 (2.4) 10 (0.8) 3.03 (1.41–6.50)
4 years and !3 nights/week 17 (1.5) 13 (1.1) 1.30 (0.61–2.77)
1
Analysis performed in women with children only. 2
Adjusted for age, study area, parity, age at first full term pregnancy, age at menarche, family
history of breast cancer, current hormonal replacement therapy, body mass index, tobacco and alcohol. 3
95% CI: 95% confidence interval. 4
Late
evening: work shift ending between 11:00 pm and 3:00 am. 5
Early morning: work shift starting between 3:00 am and 5:00 am. 6
Overnight: at least
6 consecutive work hours between 11:00 pm and 5:00 am.
Epidemiology
Menegaux et al. 929
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
studies of nurses where the risk of breast cancer increased for
long durations (!20 years) of rotating night shift
work.8,10,14,15
Intriguingly, we also found that breast cancer incidence
was inversely related to the average number of working
nights per week. This finding requires clarification. It is not
consistent with a previous study reporting that the risk of
breast cancer increased with three or more working nights
per week in the 10 years before diagnosis.6
It has been postu-
lated however that the fewer nonday shifts in succession, the
less adaptation can occur.18
Our results of a smaller number
of nights per week associated with a higher risk of breast
cancer may thus reflect more frequent changes between night
and day schedules, conferring a higher degree of circadian
disruption. It is also possible that the number of nights per
week captured different types of rotating shift work patterns
that may be associated differently with breast cancer. The
number of consecutive nights has also been seen as a poten-
tially important characteristic of night work, as breast cancer
incidence was associated with rotating shifts of at least five
consecutive nights per month during at least 5 years among
nurses in one study.9
Unfortunately, we were not able to
assess the number of consecutive nights at work in our study.
We reported that breast cancer risk was higher in women
who started working at night before first full-term pregnancy,
particularly if the duration of night work before FFTP was
4 years, and if the number of nights per week was less than
3. Pesch et al. reported an odds ratio of breast cancer of 1.51
[CI ¼ 0.80–2.83] in women starting night shift work between
20 and 29 years of age, a period where most women give
birth for the first time.12
Our finding of a higher risk of
breast cancer related to night work exposure before FFTP is
of particular interest as it is compatible with the early life eti-
ological model for breast cancer, indicating that terminal dif-
ferentiation of the mammary gland cells occurs at first child-
birth and lactation.21–23,25,26
This finding supports the
hypothesis that incompletely differentiated mammary gland
cells may be more susceptible to the potentially carcinogenic
effects of circadian disruption during this period of life.19
Limits and strengths of the study
Our findings are based on a large carefully designed popula-
tion-based case-control study conducted to assess the role of
environmental, occupational and genetic factors in breast
cancer. The study power enabled to detect odds ratios of 1.5
or above assuming a prevalence of exposure among controls
of 10 percent, consistent with the proportion of night work-
ers among French27
and European women.5
Cases were women living in well-defined geographic areas
diagnosed with a breast cancer in 2005–2007. To minimize
selection bias, we aimed at recruiting all incident cases during
the study period in the study areas, by identifying breast can-
cer patients in the main cancer hospital of each area (Coˆte
d’Or and Ille-et-Vilaine), as well as from smaller public and
private hospitals that also recruited patients. To select the
controls from general population women in the same areas,
quotas by socioeconomic status (SES) were established to
yield the control group similar to the general population of
women of the same age in terms of SES. After the selection
process, we were able to compare the distribution by SES
between controls and the female general population in each
study area, and found no significant difference, indicating
that no major selection bias by SES had occurred. In addi-
tion, the proportion of night workers among controls was
Table 5. Odds ratios for breast cancer associated with night work characteristics by age group (55 or ! 55 years) among women of the
CECILE study
Women  55 years Women ! 55 years
Cases;
n ¼ 602 (%)
Controls;
n ¼ 627 (%) OR1
95% CI2
Cases;
n ¼ 630 (%)
Controls;
n ¼ 690 (%) OR1
95% CI2
Never worked at night 492 (81.7) 536 (85.5) 1.00 reference 576 (91.4) 634 (91.9) 1.00 reference
Ever worked at night 110 (18.3) 147 (14.5) 1.36 (0.98–1.87) 54 (8.6) 56 (8.1) 1.08 (0.72–1.63)
Type of night work
Overnightc
85 (14.1) 66 (10.5) 1.48 (1.03–2.13) 35 (5.6) 36 (5.2) 1.03 (0.62–1.71)
Total duration of night work (years)
4.5 49 (8.2) 41 (6.5) 1.40 (0.89–2.21) 17 (2.7) 28 (4.1) 0.63 (0.33–1.20)
!4.5 61 (10.1) 50 (8.0) 1.32 (0.87–2.00) 37 (5.9) 28 (4.1) 1.54 (0.91–2.61)
Average frequency of night shifts (nights per week)
3 61 (10.1) 51 (8.1) 1.32 (0.87–2.01) 23 (3.7) 15 (2.2) 1.82 (0.92–3.61)
!3 49 (8.2) 40 (6.4) 1.40 (0.89–2.21) 31 (4.9) 41 (5.9) 0.82 (0.50–1.36)
Night work before FFTPd
Ever worked at night Before FFTP 55 (10.5) 39 (6.7) 1.59 (1.05–2.40) 21 (3.7) 20 (3.1) 1.13 (0.62–2.06)
1
Adjusted for age, study area, parity, age at first full term pregnancy, age at menarche, family history of breast cancer, current hormonal
replacement therapy, body mass index, tobacco and alcohol. 2
95% CI: 95% confidence interval. 3
Overnight: at least 6 consecutive work hours
between 11:00 pm and 5:00 am. 4
Analysis conducted in parous women only.
Epidemiology
930 Night work and breast cancer
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
similar to that expected among women in France.27
Women
reporting night work in our study were employed in indus-
tries where night work is common, i.e., health and social
work, hotels and restaurants, transportation and communica-
tion, manufacture of chemicals, rubber and plastic products,
manufacture of motor vehicles, manufacture of food products
and beverages.18,27
The population-based design of the study
also provides some reassurance that the association between
breast cancer and night work is not restricted to a few occu-
pations with frequent night shifts such as nurses.
Although recall bias cannot be totally excluded, it was
minimized by the use of standardized questionnaires and the
similar interviewing conditions for cases and controls. More-
over, the study was conducted in 2005–2008, a period where
the carcinogenic potentials of night work was not a major
public concern in France. In addition, the mean number of
jobs and the total duration of employment reported by cases
and controls were similar.28
To address the possibility of confounding by well-estab-
lished risk factors for breast cancer, all models examining the
association between breast cancer and night work were
closely adjusted for potential confounders. Night work was
weakly associated with tobacco smoking, body mass index or
alcohol consumption, but adjusting for these variables in the
models did not change the results.
In conclusion, our results support a possible role of night
work in breast cancer, particularly if night work occurs
before first full-term pregnancy, and may reflect the link
between circadian disruption and mammary carcinogenesis.
To go further in the understanding of night work and circa-
dian disruption in cancer etiology, epidemiological studies
should better standardize night work definition across stud-
ies. Besides collecting data on work schedules over lifetime
work history, future epidemiological studies should assess the
subjects’ chronotype to better characterize circadian disrup-
tion. Investigations on genetic polymorphisms and/or epige-
netic changes in genes involved in circadian rhythm are also
of interest. Given the increasing prevalence of night work
among women in modern societies, scrutinizing the relation-
ship between night work and breast cancer constitutes a
major issue for public health and may have an impact on
work policy.
References
1. IARC. Cancer incidence and mortality
worldwide in 2008. Available at: http://
globocan.iarc.fr/.
2. InVS. Projection de l’incidence et de la mortalite
par cancer en France en 2011. Rapport technique.
Saint-Maurice: Institut de veille sanitaire, 2011.
3. Coyle YM. The effect of environment on breast
cancer risk. Breast Cancer Res Treat 2004;84:
273–88.
4. Straif K, Baan R, Grosse Y, et al. Carcinogenicity
of shift-work, painting, and fire-fighting. Lancet
Oncol 2007;8:1065–6.
5. European Foundation for the Improvement of
Living and Working Conditions. Fourth
European working conditions survey.
Luxembourg: Office for Official Publications of
the European Communities, 2007.
6. Davis S, Mirick DK, Stevens RG. Night shift
work, light at night, and risk of breast cancer. J
Natl Cancer Inst 2001;93:1557–62.
7. Hansen J. Increased breast cancer risk among
women who work predominantly at night.
Epidemiology 2001;12:74–7.
8. Hansen J, Stevens RG. Case-control study of
shift-work and breast cancer risk in Danish
nurses: impact of shift systems. Eur J Cancer
2011. (Epub ahead of print).
9. Lie JA, Kjuus H, Zienolddiny S, et al. Night work
and breast cancer risk among Norwegian nurses:
assessment by different exposure metrics. Am J
Epidemiol 2011;173:1272–9.
10. Lie JA, Roessink J, Kjaerheim K. Breast cancer
and night work among Norwegian nurses. Cancer
Causes Control 2006;17:39–44.
11. O’Leary ES, Schoenfeld ER, Stevens RG, et al.
Shift work, light at night, and breast cancer on
Long Island, New York. Am J Epidemiol 2006;
164:358–66.
12. Pesch B, Harth V, Rabstein S, et al. Night work
and breast cancer—results from the German
GENICA study. Scand J Work Environ Health
2008;36:134–41.
13. Pronk A, Ji B-T, Shu X-O, et al. Night-shift work
and breast cancer risk in a cohort of Chinese
women. Am J Epidemiol 2010;171:953–9.
14. Schernhammer ES, Kroenke CH, Laden F, et al.
Night work and risk of breast cancer.
Epidemiology 2006;17:108–11.
15. Schernhammer ES, Laden F, Speizer FE, et al.
Rotating night shifts and risk of breast cancer in
women participating in the nurses’ health study. J
Natl Cancer Inst 2001;93:1563–8.
16. Schwartzbaum J, Ahlbom A, Feychting M.
Cohort study of cancer risk among male and
female shift workers. Scand J Work Environ
Health 2007;33:336–43.
17. Tynes T, Hannevik M, Andersen A, et al.
Incidence of breast cancer in Norwegian female
radio and telegraph operators. Cancer Causes
Control 1996;7:197–204.
18. Stevens RG, Hansen J, Costa G, et al.
Considerations of circadian impact for defining
‘‘shift work’’ in cancer studies: IARC Working
Group Report. Occup Environ Med 2011;68:154–62.
19. Costa G, Haus E, Stevens R. Shift work and
cancer—considerations on rationale, mechanisms,
and epidemiology. Scand J Work Environ Health
2010;36:163–79.
20. Fenton SE. Endocrine-disrupting compounds and
mammary gland development: early exposure and
later life consequences. Endocrinology 2006;147:
S18–S24.
21. Adami HO, Signorello LB, Trichopoulos D.
Towards an understanding of breast cancer
etiology. Semin Cancer Biol 1998;8:255–62.
22. Russo J, Russo IH. Development of the human
breast. Maturitas 2004;49:2–15.
23. Trichopoulos D, Adami HO, Ekbom A, et al.
Early life events and conditions and breast cancer
risk: from epidemiology to etiology. Int J Cancer
2008;122:481–5.
24. IARCMonographs. Painting, firefighting and
shift work, vol. 98. Lyon: IARC, 2010.
9–764.
25. Rudel RA, Attfield KR, Schifano JN, et al.
Chemicals causing mammary gland tumors in
animals signal new directions for epidemiology,
chemicals testing, and risk assessment for
breast cancer prevention. Cancer 2007;109:
2635–66.
26. Trichopoulos D, Lagiou P, Adami HO. Towards
an integrated model for breast cancer etiology:
the crucial role of the number of mammary
tissue-specific stem cells. Breast Cancer Res 2005;
7:13–7.
27. Ministe`re du travail de l’emploi et de la solidarite.
DARES Analyses, Le travail de nuit des salaries
en 2009. N
009 Fevrier 2011. Available at http://
travail-emploi.gouv.fr/archives,1994/breves,409/
etudes-recherche-statistiques-de,76/etudes-et-re-
cherche,77/publications-dares,98/dares-analyses-
dares-indicateurs,102/2011-009-le-travail-de-nuit-
des,13024.html.
28. Villeneuve S, Fevotte J, Anger A, et al. Breast
cancer risk by occupation and industry: analysis
of the CECILE study, a population-based case-
control study in France. Am J Ind Med 2011;54:
499–509.
Epidemiology
Menegaux et al. 931
Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC

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  • 1. Night work and breast cancer: A population-based case–control study in France (the CECILE study) Florence Menegaux1,2 , There`se Truong1,2 , Antoinette Anger1,2 , Emilie Cordina-Duverger1,2 , Farida Lamkarkach1,2 , Patrick Arveux3 , Pierre Kerbrat4 , Jo€elle Fevotte5 and Pascal Guenel1,2,5 1 Inserm, CESP Center for research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, France 2 Univ Paris-Sud, UMRS 1018, Villejuif, France 3 Center Georges-Franc¸ois Leclerc, Departement d’informatique medicale, Dijon, France 4 Center Euge`ne Marquis, Rennes, France 5 Institut de Veille Sanitaire (InVS), Department of Occupational Health, Saint-Maurice, France Night work involving disruption of circadian rhythm was suggested as a possible cause of breast cancer. We examined the role of night work in a large population-based case-control study carried out in France between 2005 and 2008. Lifetime occupational history including work schedules of each night work period was elicited in 1,232 cases of breast cancer and 1,317 population controls. Thirteen percent of the cases and 11% of the controls had ever worked on night shifts (OR 5 1.27 [95% confidence interval 5 0.99–1.64]). Odds ratios were 1.35 [1.01–1.80] in women who worked on overnight shifts, 1.40 [1.01–1.92] in women who had worked at night for 4.5 or more years, and 1.43 [1.01–2.03] in those who worked less than three nights per week on average. The odds ratio was 1.95 [1.13–3.35] in women employed in night work for 4 years before their first full-term pregnancy, a period where mammary gland cells are incompletely differentiated and possibly more susceptible to circadian disruption effects. Our results support the hypothesis that night work plays a role in breast cancer, particularly in women who started working at night before first full-term pregnancy. Breast cancer is the most common cancer in women world- wide with an annual incidence of $100 cases per 100,000 in developed countries. It is estimated that over 1,300,000 women are diagnosed with breast cancer each year around the world,1 and 53,000 in France.2 Recognized risk factors for breast cancer include genetic mutations, family history of breast cancer, and several aspects of reproductive history, but lifestyle, environmental, or occupational causes of breast cancer are incompletely identified.3 Following the publication of studies indicating a possible role of night shift work in breast cancer, the Inter- national Agency for Research on Cancer (IARC) in 2007 classified shift work that involves circadian disruption as probably carcinogenic to humans, on the basis of sufficient evidence in experimental animals and limited evidence of car- cinogenicity in humans.4 Whether night work is implicated in breast cancer etiology is of major importance for public health because of the increasing number of women working on a non- standard day schedule in modern societies. In 2005, for exam- ple, 11% of European women were working on shifts that included night work.5 Overall, among 12 epidemiological studies conducted so far to investigate the association between night work and breast cancer,6–17 eight reported positive associations,6– 10,14,15,17 of which six were cohort studies of nurses8–10,14,15 or radio and telegraph operators17 enrolled in shift work, and two were population-based studies where night work was assessed in a wide range of occupations.6,7 Other studies did not report an association with breast cancer.11–13,16 Although the body of evidence generally points to a role of night work in breast cancer occurrence, there is a need of additional studies to better identify the characteristics of night work that may lead to an increased risk.18 Several mechanistic hypotheses for how shift work may be related to cancer have been reviewed recently.19 They include exposure to light at night that suppresses the noc- turnal peak of melatonin and its associated anticarcinogenic effects; disruption of the circadian rhythm regulated by sev- eral ‘‘clock’’ genes controlling cell proliferation and apopto- sis; repeated phase shifting leading to internal desynchroni- zation and defects in the regulation of the circadian cell cycle; and sleep deprivation that alters the immune function. Key words: case-control study, breast cancer, circadian disruption Grant sponsor: Agence Nationale de securite sanitaire de l’alimentation, de l’environnement et du travail (ANSES); Grant number: 2010/2/2073; Grant sponsors: Agence Nationale de la Recherche (ANR); Fondation de France; Institut National du Cancer (INCA); Ligue contre le Cancer Grand Ouest; Association pour le recherche contre le cancer (ARC) DOI: 10.1002/ijc.27669 History: Received 27 Jan 2012; Accepted 24 May 2012; Online 12 June 2012 Correspondence to: Pascal Guenel, MD, PhD, CESP, for research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, 16 av. Paul Vaillant Couturier, F-94807, Villejuif, France, E-mail: pascal.guenel@inserm.fr Epidemiology Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC International Journal of Cancer IJC
  • 2. The human breast undergoes several stages of maturation throughout life, and may be particularly susceptible to carci- nogens when exposure occurs during periods of mammary gland development and differentiation such as puberty or pregnancy.20 Although measuring environmental exposures during critical periods of breast development in a woman’s lifetime is a key issue for identifying exposures that may lead to breast cancer later in life, the role of night work during these critical exposure windows has not been specifically investigated in epidemiological studies. Full differentiation of the mammary gland occurs during first childbirth and lacta- tion.21–23 It can thus be hypothesized that the risk of breast cancer is particularly elevated when night work involving cir- cadian disruption occurs in the period of life before first full- term pregnancy, i.e., when mammary gland cells are incom- pletely differentiated. We conducted a large population-based case-control study in France (CECILE) to investigate the role of environmental and genetic factors in breast cancer that included data on lifelong occupational history. In the present article, we ana- lyzed the role of type, duration and frequency of night work in breast cancer. We also focused on night work in the pe- riod before first full-term pregnancy as a possible critical window of exposure. Material and Methods Study population Eligible cases were women aged 25–75 years, newly diagnosed for breast cancer between 2005 and 2007 and residing in the French departements of ‘‘Coˆte d’Or’’ or ‘‘Ille-et-Vilaine’’ (administrative areas) at the time of diagnosis. Patients were recruited in the main cancer hospital of each area, as well as from smaller public and private hospitals that also recruited breast cancer patients, by specifically trained investigators. All breast cancer diagnoses were confirmed histologically. Among the 1,553 eligible cases identified during the study period, 163 refused to participate, 151 women could not be contacted and 7 died before the interview. Finally, 1,232 (79%) incident breast cancer cases were included in the study. Controls were selected among general population women free of cancer and resident in the study areas at the time of the cases’ diagnoses. For including controls, quotas by age were established as a preliminary to yield the control group similar to the case group in terms of age to achieve fre- quency-matching (10-year age group). Quotas by socio-eco- nomic status (SES) were also set a priori to control for poten- tial selection bias arising from differential participation rates across SES categories. These quotas by SES were calculated from the census data available in each study area, to obtain a distribution by SES among controls identical to the SES dis- tribution among general population women, conditionally to age. The recruitment of controls was conducted as follows: phone numbers of private homes were selected at random from the telephone directory of each study area where unlisted numbers had first been recreated. A phone number was dialed up to 15 times at different times of the day and different days of the week until contact could be established with the residents. When a woman was living in the resi- dence reached by phone, she was invited to participate to the study, as long as the predefined quota corresponding to her age group and socioeconomic status (SES) was not com- pleted. When the quota was exceeded, the woman was excluded. To obtain the desired number of controls within the limits of age and SES categories, $30,000 phone numbers were dialed for identifying 1,731 eligible controls. Among these, 1,317 (76%) accepted to participate to an in-person interview and were included in the study. The study was approved by the French Ethic Committee (Jan 2005), the National Data Protection Commission (Dec 2004) and the Advisory Committee on the Treatment of Health Research Information (Apr 2004). All participants signed informed consent before inclusion. Data collection A standardized questionnaire was administered during in- person interviews by trained interviewers, to obtain informa- tion on demographic and socioeconomic characteristics, reproduction, medical history, family history of cancer, diet, lifestyle factors, residential and occupational history over the lifetime. A blood sample was also collected during interview. For each job held for at least 6 consecutive months, we obtained a description of the work tasks, work places, occu- pational exposures and work schedules. Women were asked whether they had worked for at least 1 hr between 11:00 pm and 5:00 am during all or part of each job. We characterized any night work period with the month and the year of begin- ning and ending, the usual number of nights per week, and the hour when the night shift started and ended. Any night What’s new? Data on lifelong occupational history collected as part of a population-based study conducted in France was used to investigate the role of night work in breast cancer. The results indicate that night work increases breast cancer risk, particularly in women who worked night shifts before their first full-term pregnancy. The findings suggest that incompletely differentiated cells of the mammary gland before a woman’s first childbirth may be particularly susceptible to the potentially carcinogenic effects of circadian disruption. Epidemiology Menegaux et al. 925 Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 3. work period was categorized as overnight (night shift of 6 consecutive work hours or more spanning the time period 11:00 pm–5:00 am), late evening (night shift ending between 11:00 pm and 3:00 am), or early morning (night shift starting between 3:00 and 5:00 am). Statistical analysis Unconditional logistic regression models were used to esti- mate odds ratios (OR) and their 95% confidence intervals (CI) using women who had never worked at night as the ref- erence group. Analyses were systematically adjusted for the original matching variables, i.e., age (5-year period) and study area, and for well-established risk factors for breast cancer categorized as follows: age at menarche (12, 12:reference, 13, 14, 15 years and more), age at first full-term pregnancy (22, 22–24:reference, 25–27, 27 years), parity categorized (nulliparous:reference, 1, 2, 3, 4þ children), current use of menopausal hormone therapy (Yes, No), family history of breast cancer in first-degree relatives (Yes, No), body mass index according to the WHO categories (18.5, 18.5–24:ref- erence, 25–30, 30), alcohol consumption ( 3 drinks/week:- reference, 4–7 drinks/week, 8–14 drinks/week, 14 drinks/ week), and tobacco consumption (Never smokers: reference, former smokers, current smokers). Duration of night work was categorized into two groups according to the median value among controls (4.5, !4.5 years or 4, 4 years for the analysis of night work before first full-term pregnancy). The average number of nights per week was categorized into two groups according to the median of the distribution among controls (3, !3). Analyses were also conducted after stratification by age group (55 years, !55 years) used as a proxy of menopausal status. We also conducted analysis according to estrogen- or pro- gesterone-receptor status (ER-positive or ER-negative, PR- positive or PR-negative), and histological subtypes of breast cancer using polytomous logistic regression models, but results were not modified and are not shown. Analyses were performed using SAS software (version 9.2, Cary, NC). Results We included 1,232 breast cancer cases and 1,317 controls. The distributions by age, study area and socioeconomic char- acteristics are shown in Table 1. Cases and controls were similarly distributed in terms of age and study area (stratifi- cation variables). Cases were more frequently single and had higher education levels than the controls. Consistently with the literature, we found that the follow- ing variables were associated with breast cancer (Table 2): early age at menarche, late age at first full-term pregnancy, low parity, current use of menopausal hormone therapy, low body mass index in premenopausal women, lack of physical activity and family history of breast cancer in first-degree rel- atives. No association was apparent between breast cancer and alcohol consumption, or high BMI in postmenopausal women. Night work Overall, 311 women (12%) had ever worked during night shifts (Table 3). Overnight work was the most frequent type of night work schedule (n ¼ 222) followed by late evening work (n ¼ 80) and early morning work (n ¼ 21). Night work was more common among cases than among controls (OR ¼ 1.27 [CI ¼ 0.99–1.64]) (Table 3). The odds ratio for overnight work (OR ¼ 1.35 [CI ¼ 1.01–1.80]) was slightly higher than the odds ra- tio for late evening work (OR ¼ 1.25 [CI ¼ 0.79–1.98]). Early morning shift was not associated with breast cancer. Table 1. Tumor characteristics of breast cancer and sociodemographic characteristics of cases and controls in the CECILE study Cases; n ¼ 1,232 (%) Controls; n ¼ 1,317 (%) p Histology Ductal 980 (79.5) Lobular 142 (11.5) Mixed 25 (2.0) Others 85 (7.0) Hormone receptor status ERþ/PRþ 794 (64.4) ERÀ/PRÀ 171 (13.9) ERþ/PRÀ 158 (12.8) ERÀ/PRþ 10 (0.8) Age at reference date (years)1 0.79 25–34 43 (3.5) 47 (3.6) 35–44 182 (14.9) 185 (14.1) 45–54 377 (30.5) 396 (30.0) 55–64 360 (29.2) 373 (28.4) 65–74 270 (21.9) 316 (23.9) Study area1 0.12 Ile-et-Vilaine 841 (68.3) 861 (65.4) Coˆte d’Or 391 (31.7) 456 (34.6) Marital status2 0.03 Married or marital life 908 (73.7) 1,009 (76.6) Single 86 (7.0) 58 (4.4) Divorced or separated 135 (11.0) 129 (9.8) Widow 103 (8.3) 121 (9.2) Educational level2 0.02 Primary school 275 (23.3) 300 (22.8) Basic secondary school 438 (35.6) 515 (39.1) Secondary school 168 (13.6) 196 (14.9) University education 351 (28.5) 305 (23.2) 1 Stratification variables. 2 p value adjusted for age and study area. Epidemiology 926 Night work and breast cancer Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 4. Table 2. Odds ratios associated with family history of breast cancer, reproductive factors, lifestyle factors and body mass index in the CECILE study Cases; n ¼ 1,232 (%) Controls; n ¼ 1,317 (%) OR1 95% IC2 Family history of breast cancer in first-degree relatives No 1,017 (82.6) 1,173 (89.1) 1.00 Reference Yes 213 (17.3) 139 (10.6) 1.77 (1.40–2.23) Age at menarche (years) 12 224 (18.4) 212 (16.3) 1.06 (0.83–1.36) 12 294 (24.2) 300 (23.0) 1.00 Reference 13 287 (23.6) 288 (22.1) 1.00 (0.79–1.26) 14 227 (18.7) 264 (20.2) 0.86 (0.68–1.10) 15þ 184 (15.1) 240 (18.4) 0.77 (0.60–0.99) Age at first full-term pregnancy (years) 22 266 (24.4) 355 (28.9) 0.91 (0.73–1.14) 22–24 311 (28.4) 387 (31.4) 1.00 Reference 25–27 247 (22.4) 285 (23.2) 1.10 (0.88–1.39) 27 272 (24.8) 203 (16.6) 1.71 (1.34–2.17) Parity Nulliparous 136 (11.0) 87 (6.6) 1.00 Reference 1 195 (15.8) 175 (13.3) 0.72 (0.52–1.02) 2 484 (39.3) 469 (35.6) 0.64 (0.47–0.86) 3 294 (23.9) 398 (30.2) 0.45 (0.33–0.62) 4þ 123 (10.0) 188 (14.3) 0.40 (0.28–0.57) Current use of menopausal hormone therapy No 998 (81.0) 1,109 (84.2) 1.00 Reference Yes 173 (14.0) 140 (10.6) 1.35 (1.05–1.73) Physical activity Never 388 (31.5) 365 (27.7) 1.00 Reference At least 1 hr/week during 1 year 844 (68.5) 952 (72.3) 0.82 (0.69–0.98) Alcohol Never or 3 drink/week 960 (77.9) 993 (75.4) 1.00 Reference 4–7 drink/week 155 (12.6) 187 (14.2) 0.83 (0.66–1.05) 8–14 drink/week 67 (5.4) 87 (6.6) 0.76 (0.54–1.06) 14 drink/week 50 (4.1) 50 (3.8) 1.02 (0.68–1.04) Body mass index (kg mÀ2 ) Women 50 years 18.5 28 (7.2) 15 (3.4) 1.85 (0.96–3.56) 18.5–24 276 (71.3) 285 (64.0) 1.00 Reference 25–30 57 (14.7) 95 (21.3) 0.61 (0.42–0.89) 30þ 26 (6.7) 50 (11.2) 0.54 (0.33–0.90) Women ! 50 years 18.5 16 (1.9) 20 (2.3) 0.84 (0.43–1.65) 18.5–24 438 (52.1) 438 (50.3) 1.00 Reference 25–30 254 (30.2) 266 (30.6) 0.98 (0.78–1.22) 30þ 132 (15.7) 146 (16.8) 0.93 (0.71–1.22) 1 Adjusted for age and study area. 2 95% CI: 95% confidence interval. Epidemiology Menegaux et al. 927 Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 5. Duration of night work of 4.5 or more years was associ- ated with an OR of 1.40 [CI ¼ 1.01–1.92]. Working over- night for 4.5 or more years yielded a similar odds ratio of 1.40 [CI ¼ 0.96–2.04]. The odds ratio in women who worked at night, less than three nights per week on average was 1.43 [CI ¼ 1.01–2.03], whereas it was only 1.14 [CI ¼ 0.82–1.59] in women who worked at night !3 nights per week. Similarly, the ORs for overnight shifts less than three nights per week and !3 nights per week were 1.61 [CI ¼ 1.07–2.42] and 1.13 [CI ¼ 0.76–1.68], respectively. In the analyses combining the duration of night work and the average number of nights per week, the association with breast cancer was particularly apparent among night workers of long duration (!4.5 years) working less than three nights per week on average (OR ¼ 1.83 [CI ¼ 1.15–2.93]). This association was more pronounced when only overnight work was considered (OR ¼ 2.09 [CI ¼ 1.26–3.45]). In analyses restricted to parous women, we investigated the effect of night work before or after first full-term preg- nancy (FFTP) (Table 4). The odds ratio for breast cancer in women who ever worked at night before FFTP was 1.47 [CI ¼ 1.02–2.12] as compared to never night workers, whereas it was 1.09 [CI ¼ 0.77–1.55] in women who started working at night after FFTP (Table 4). The odds ratio for night work before FFTP was stronger among women who had been working at night for 4 years before FFTP (OR ¼ 1.95 [CI ¼ 1.13–3.35]), and in those who worked at night less than Table 3. Odds ratios for breast cancer associated with duration, frequency and type of night work among women of the CECILE study Cases; n ¼ 1,232 (%) Controls; n ¼ 1,317 (%) OR1 95% CI2 Never worked at night 1,068 (86.7) 1,170 (88.8) 1.00 reference Ever worked at night 164 (13.3) 147 (11.2) 1.27 (0.99–1.64) Type of night work Late evening3 42 (3.4) 38 (2.9) 1.25 (0.79–1.98) Early morning4 9 (0.7) 12 (0.9) 0.90 (0.36–2.21) Overnight5 120 (9.7) 102 (7.7) 1.35 (1.01–1.80) Total duration of night work periods (years) 4.5 66 (5.4) 69 (5.2) 1.12 (0.78–1.60) !4.5 98 (7.9) 78 (5.9) 1.40 (1.01–1.92) Average frequency of night shifts (nights/week) 3 84 (6.8) 66 (5.0) 1.43 (1.01–2.03) !3 80 (6.5) 81 (6.2) 1.14 (0.82–1.59) Crossclassification of duration and frequency 4.5 years and 3 nights/week 30 (2.4) 35 (2.7) 1.04 (0.62–1.75) 4.5 years and !3 nights/week 36 (2.9) 34 (2.6) 1.19 (0.73–1.95) !4.5 years and 3 nights/week 54 (4.4) 31 (2.4) 1.83 (1.15–2.93) !4.5 years and !3 nights/week 44 (3.6) 47 (3.6) 1.10 (0.71–1.69) Night work with overnight shifts Total duration of night work periods with overnight shifts (years) 4.5 51 (4.3) 47 (3.7) 1.27 (0.83–1.94) !4.5 69 (5.8) 55 (4.3) 1.40 (0.96–2.04) Average frequency of overnight shifts (nights/week) 3 64 (5.4) 45 (3.5) 1.61 (1.07–2.42) !3 56 (4.7) 57 (4.5) 1.13 (0.76–1.68) Crossclassification of duration and frequency of overnight shifts 4.5 years and 3 nights/week 15 (1.3) 19 (1.5) 0.92 (0.45–1.89) 4.5 years and !3 nights/week 25 (2.1) 19 (1.5) 1.59 (0.86–2.96) !4.5 years and 3 nights/week 49 (4.1) 26 (2.0) 2.09 (1.26–3.45) !4.5 years and !3 nights/week 31 (2.6) 38 (3.0) 0.91 (0.55–1.50) 1 Adjusted for age, study area, parity, age at first full-term pregnancy, age at menarche, family history of breast cancer, current hormonal replacement therapy, body mass index, tobacco and alcohol. 2 95% CI: 95% confidence interval. 3 Late evening: work shift ending between 11:00 pm and 3:00 am. 4 Early morning: work shift starting between 3:00 am and 5:00 am. 5 Overnight: at least six consecutive work hours between 11:00 pm and 5:00 am. Epidemiology 928 Night work and breast cancer Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 6. three nights per week on average during this period of life (OR ¼ 2.24 [CI ¼ 1.35–3.71]). Combining duration and frequency of night work before FFTP yielded an OR of 3.03 [CI ¼ 1.41– 6.50] for night work 4 years and 3 nights per week. Analyses stratified by age group (55, !55 years) are pre- sented in Table 5. Night work was more common among younger (14.5%) than among older women (8.1%). Ever working at night, or working at night before FFTP, was asso- ciated with breast cancer in women below 55 years. Among older women, there was some evidence of an increased risk of breast cancer in women with long duration of night work and working less than three nights per week. Discussion In this study, we have shown that breast cancer risk is associated with characteristics of night work, and provided new evidence that night work may play a role in the occurrence of the disease. The association of night work with breast cancer was mainly observed in women working during overnight shifts, those who worked at night for 4.5 or more years and less than three nights per week on average. The association was stronger in women who worked at night before their first full-term pregnancy than in women who started working at night later in life. Overall, based on the available epidemiologic litera- ture,8,9,12,13,24 the evidence of an association between night work and breast cancer has been seen as limited. However, cohort studies of nurses involved in night shift work8–10,14,15 have been more consistent than population-based studies.6,7 In these population-based studies, the large number of occu- pational groups with various night work patterns, and the lack of standardization of exposure assessment may explain some of the inconsistencies, because the categories defining type, duration and frequency of night work were based on cut-off points that varied across studies, and may represent different degrees of circadian disruption. It has been sug- gested that several key domains should be used to better cap- ture circadian disruption based on detailed information on night work in epidemiological studies.18 Among those domains were the rotating type of night-shift work, direction and rate of rotation, and the number of consecutive nights at work. It was also suggested to collect data on sleep habits, and on subject chronotype. In the present population-based study, our questionnaire did not allow to go as deeply in the description of the night shifts as recommended in this article, due to large differences between night shift systems across occupations. Nevertheless, we were able to categorize the type of night work using time schedule data (late evening, overnight, early morning), and examined the duration of night work in years as well as the average number of nights per week. We found that breast cancer risk increased for duration of night work 4.5 years, a much shorter period than in cohort Table 4. Odds ratios for breast cancer associated with night work after or before first full-term pregnancy (FFTP), and according to night work characteristics before FFTP among parous women of the CECILE study Cases; n ¼ 1,096 (%)1 Controls; n ¼ 1,230 (%)1 OR2 95% CI3 Never worked at night 954 (87.0) 1,093 (88.9) 1.00 reference First night work after FFTP 66 (6.0) 78 (6.3) 1.09 (0.77–1.55) Night work before FFTP 76 (6.9) 59 (4.8) 1.47 (1.02–2.12) Type of night work before FFTP Late evening4 18 (1.6) 11 (0.8) 1.89 (0.87–4.08) Early morning5 6 (0.5) 9 (0.7) 1.09 (0.38–3.12) Overnight6 52 (4.7) 39 (3.2) 1.49 (0.96–2.32) Total duration of night work periods before FFTP (years) 4 years 33 (3.0) 36 (2.9) 1.15 (0.70–1.89) 4 years 43 (3.9) 23 (1.9) 1.95 (1.13–3.35) Average frequency of night shifts before FFTP (nights/week) 3 nights/week 47 (4.3) 26 (2.1) 2.24 (1.35–3.71) !3 nights/week 29 (2.6) 33 (2.7) 0.96 (0.56–1.62) Crossclassification of duration and frequency of night shifts before FFTP 4 years and 3 nights/week 21 (1.9) 16 (1.3) 1.75 (0.89–3.42) 4 years and !3 nights/week 12 (1.1) 20 (1.6) 0.72 (0.34–1.51) 4 years and 3 nights/week 26 (2.4) 10 (0.8) 3.03 (1.41–6.50) 4 years and !3 nights/week 17 (1.5) 13 (1.1) 1.30 (0.61–2.77) 1 Analysis performed in women with children only. 2 Adjusted for age, study area, parity, age at first full term pregnancy, age at menarche, family history of breast cancer, current hormonal replacement therapy, body mass index, tobacco and alcohol. 3 95% CI: 95% confidence interval. 4 Late evening: work shift ending between 11:00 pm and 3:00 am. 5 Early morning: work shift starting between 3:00 am and 5:00 am. 6 Overnight: at least 6 consecutive work hours between 11:00 pm and 5:00 am. Epidemiology Menegaux et al. 929 Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 7. studies of nurses where the risk of breast cancer increased for long durations (!20 years) of rotating night shift work.8,10,14,15 Intriguingly, we also found that breast cancer incidence was inversely related to the average number of working nights per week. This finding requires clarification. It is not consistent with a previous study reporting that the risk of breast cancer increased with three or more working nights per week in the 10 years before diagnosis.6 It has been postu- lated however that the fewer nonday shifts in succession, the less adaptation can occur.18 Our results of a smaller number of nights per week associated with a higher risk of breast cancer may thus reflect more frequent changes between night and day schedules, conferring a higher degree of circadian disruption. It is also possible that the number of nights per week captured different types of rotating shift work patterns that may be associated differently with breast cancer. The number of consecutive nights has also been seen as a poten- tially important characteristic of night work, as breast cancer incidence was associated with rotating shifts of at least five consecutive nights per month during at least 5 years among nurses in one study.9 Unfortunately, we were not able to assess the number of consecutive nights at work in our study. We reported that breast cancer risk was higher in women who started working at night before first full-term pregnancy, particularly if the duration of night work before FFTP was 4 years, and if the number of nights per week was less than 3. Pesch et al. reported an odds ratio of breast cancer of 1.51 [CI ¼ 0.80–2.83] in women starting night shift work between 20 and 29 years of age, a period where most women give birth for the first time.12 Our finding of a higher risk of breast cancer related to night work exposure before FFTP is of particular interest as it is compatible with the early life eti- ological model for breast cancer, indicating that terminal dif- ferentiation of the mammary gland cells occurs at first child- birth and lactation.21–23,25,26 This finding supports the hypothesis that incompletely differentiated mammary gland cells may be more susceptible to the potentially carcinogenic effects of circadian disruption during this period of life.19 Limits and strengths of the study Our findings are based on a large carefully designed popula- tion-based case-control study conducted to assess the role of environmental, occupational and genetic factors in breast cancer. The study power enabled to detect odds ratios of 1.5 or above assuming a prevalence of exposure among controls of 10 percent, consistent with the proportion of night work- ers among French27 and European women.5 Cases were women living in well-defined geographic areas diagnosed with a breast cancer in 2005–2007. To minimize selection bias, we aimed at recruiting all incident cases during the study period in the study areas, by identifying breast can- cer patients in the main cancer hospital of each area (Coˆte d’Or and Ille-et-Vilaine), as well as from smaller public and private hospitals that also recruited patients. To select the controls from general population women in the same areas, quotas by socioeconomic status (SES) were established to yield the control group similar to the general population of women of the same age in terms of SES. After the selection process, we were able to compare the distribution by SES between controls and the female general population in each study area, and found no significant difference, indicating that no major selection bias by SES had occurred. In addi- tion, the proportion of night workers among controls was Table 5. Odds ratios for breast cancer associated with night work characteristics by age group (55 or ! 55 years) among women of the CECILE study Women 55 years Women ! 55 years Cases; n ¼ 602 (%) Controls; n ¼ 627 (%) OR1 95% CI2 Cases; n ¼ 630 (%) Controls; n ¼ 690 (%) OR1 95% CI2 Never worked at night 492 (81.7) 536 (85.5) 1.00 reference 576 (91.4) 634 (91.9) 1.00 reference Ever worked at night 110 (18.3) 147 (14.5) 1.36 (0.98–1.87) 54 (8.6) 56 (8.1) 1.08 (0.72–1.63) Type of night work Overnightc 85 (14.1) 66 (10.5) 1.48 (1.03–2.13) 35 (5.6) 36 (5.2) 1.03 (0.62–1.71) Total duration of night work (years) 4.5 49 (8.2) 41 (6.5) 1.40 (0.89–2.21) 17 (2.7) 28 (4.1) 0.63 (0.33–1.20) !4.5 61 (10.1) 50 (8.0) 1.32 (0.87–2.00) 37 (5.9) 28 (4.1) 1.54 (0.91–2.61) Average frequency of night shifts (nights per week) 3 61 (10.1) 51 (8.1) 1.32 (0.87–2.01) 23 (3.7) 15 (2.2) 1.82 (0.92–3.61) !3 49 (8.2) 40 (6.4) 1.40 (0.89–2.21) 31 (4.9) 41 (5.9) 0.82 (0.50–1.36) Night work before FFTPd Ever worked at night Before FFTP 55 (10.5) 39 (6.7) 1.59 (1.05–2.40) 21 (3.7) 20 (3.1) 1.13 (0.62–2.06) 1 Adjusted for age, study area, parity, age at first full term pregnancy, age at menarche, family history of breast cancer, current hormonal replacement therapy, body mass index, tobacco and alcohol. 2 95% CI: 95% confidence interval. 3 Overnight: at least 6 consecutive work hours between 11:00 pm and 5:00 am. 4 Analysis conducted in parous women only. Epidemiology 930 Night work and breast cancer Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC
  • 8. similar to that expected among women in France.27 Women reporting night work in our study were employed in indus- tries where night work is common, i.e., health and social work, hotels and restaurants, transportation and communica- tion, manufacture of chemicals, rubber and plastic products, manufacture of motor vehicles, manufacture of food products and beverages.18,27 The population-based design of the study also provides some reassurance that the association between breast cancer and night work is not restricted to a few occu- pations with frequent night shifts such as nurses. Although recall bias cannot be totally excluded, it was minimized by the use of standardized questionnaires and the similar interviewing conditions for cases and controls. More- over, the study was conducted in 2005–2008, a period where the carcinogenic potentials of night work was not a major public concern in France. In addition, the mean number of jobs and the total duration of employment reported by cases and controls were similar.28 To address the possibility of confounding by well-estab- lished risk factors for breast cancer, all models examining the association between breast cancer and night work were closely adjusted for potential confounders. Night work was weakly associated with tobacco smoking, body mass index or alcohol consumption, but adjusting for these variables in the models did not change the results. In conclusion, our results support a possible role of night work in breast cancer, particularly if night work occurs before first full-term pregnancy, and may reflect the link between circadian disruption and mammary carcinogenesis. To go further in the understanding of night work and circa- dian disruption in cancer etiology, epidemiological studies should better standardize night work definition across stud- ies. Besides collecting data on work schedules over lifetime work history, future epidemiological studies should assess the subjects’ chronotype to better characterize circadian disrup- tion. Investigations on genetic polymorphisms and/or epige- netic changes in genes involved in circadian rhythm are also of interest. Given the increasing prevalence of night work among women in modern societies, scrutinizing the relation- ship between night work and breast cancer constitutes a major issue for public health and may have an impact on work policy. References 1. IARC. Cancer incidence and mortality worldwide in 2008. Available at: http:// globocan.iarc.fr/. 2. InVS. Projection de l’incidence et de la mortalite par cancer en France en 2011. Rapport technique. Saint-Maurice: Institut de veille sanitaire, 2011. 3. Coyle YM. The effect of environment on breast cancer risk. Breast Cancer Res Treat 2004;84: 273–88. 4. Straif K, Baan R, Grosse Y, et al. Carcinogenicity of shift-work, painting, and fire-fighting. Lancet Oncol 2007;8:1065–6. 5. European Foundation for the Improvement of Living and Working Conditions. Fourth European working conditions survey. Luxembourg: Office for Official Publications of the European Communities, 2007. 6. Davis S, Mirick DK, Stevens RG. Night shift work, light at night, and risk of breast cancer. J Natl Cancer Inst 2001;93:1557–62. 7. Hansen J. Increased breast cancer risk among women who work predominantly at night. Epidemiology 2001;12:74–7. 8. Hansen J, Stevens RG. Case-control study of shift-work and breast cancer risk in Danish nurses: impact of shift systems. Eur J Cancer 2011. (Epub ahead of print). 9. Lie JA, Kjuus H, Zienolddiny S, et al. Night work and breast cancer risk among Norwegian nurses: assessment by different exposure metrics. Am J Epidemiol 2011;173:1272–9. 10. Lie JA, Roessink J, Kjaerheim K. Breast cancer and night work among Norwegian nurses. 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IARCMonographs. Painting, firefighting and shift work, vol. 98. Lyon: IARC, 2010. 9–764. 25. Rudel RA, Attfield KR, Schifano JN, et al. Chemicals causing mammary gland tumors in animals signal new directions for epidemiology, chemicals testing, and risk assessment for breast cancer prevention. Cancer 2007;109: 2635–66. 26. Trichopoulos D, Lagiou P, Adami HO. Towards an integrated model for breast cancer etiology: the crucial role of the number of mammary tissue-specific stem cells. Breast Cancer Res 2005; 7:13–7. 27. Ministe`re du travail de l’emploi et de la solidarite. DARES Analyses, Le travail de nuit des salaries en 2009. N 009 Fevrier 2011. Available at http:// travail-emploi.gouv.fr/archives,1994/breves,409/ etudes-recherche-statistiques-de,76/etudes-et-re- cherche,77/publications-dares,98/dares-analyses- dares-indicateurs,102/2011-009-le-travail-de-nuit- des,13024.html. 28. Villeneuve S, Fevotte J, Anger A, et al. Breast cancer risk by occupation and industry: analysis of the CECILE study, a population-based case- control study in France. Am J Ind Med 2011;54: 499–509. Epidemiology Menegaux et al. 931 Int. J. Cancer: 132, 924–931 (2013) VC 2012 UICC