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. 2020 Jun 23;10:1006. doi: 10.3389/fonc.2020.01006

Table 1.

Characteristics of included studies.

References Country Study design N of participants Mean age N of case Occupations Estimates of risk Cancer Covariates adjusted Measurement of night-shift work
Hansen et al. (29) Denmark CC 12,485 NA 6,281 NA OR = 1.5Δ Breast cancer Age, social class, age at birth of first child, age at birth of last child, and number of children Interview
Davis et al. (30) US CC 1,606 NA 767 NA OR = 1.13Δ Breast cancer Parity, family history of breast cancer, oral contraceptive use, and recent is continued use of hormone replacement therapy Interview
Lie et al. (31) Norway NCC 44,835 NA 537 Nurses 0–14 y: OR = 0.95Δ
15–29 y: OR = 1.29Δ
≥30 y: OR = 2.21Δ
Breast cancer Total duration of work as a nurse and parity Self-report
Kubo et al. (32) Japan CS 14,052 52.14 31 NA Fixed NSW: RR = 2.3Δ
Rotating NSW: RR = 3.0Δ
Prostatic cancer Age, study area, family history of prostate cancer, body mass index, smoking, alcohol drinking, job type, physical activity at work, workplace, perceived stress, educational level, and marriage status Questionnaire
O'Leary et al. (33) US CC 1,161 57.19 835 NA OR = 1.04Δ Breast cancer Age at reference date, parity, family history, education, and history of benign breast disease. In-house interview
Schwartzbaum et al. (34) Sweden CS 3,250,787 NA 300,771 NA Female: OR = 1.00Δ
Male: OR = 1.02Δ
All cancer Age, socioeconomic status, occupational position, and county of residence of residence Personal interviews
Viswanathan et al. (4) US CS 53,487 53.51 515 Nurses 0–9 y: RR = 0.89Δ
10–19 y: RR = 1.06Δ
≥20 y: RR = 1.47Δ
Uterus cancer Age, age at menarche, age at menopause, parity, BMI, oral contraceptive use, use and duration of postmenopausal hormones, hypertension, diabetes, and smoking Questionnaire
Marino et al. (35) US CC 2,125 NA 812 NA OR = 1.2Δ Ovarian cancer Multivariable adjustment Interviews
Lahti et al. (36) Finland CS 1,669,272 NA 3,813 NA RR = 1.10Δ Non-Hodgkin's lymphoma Age, social class, and cohort period Questionnaire
Pronk et al. (37) China CS 73,049 52.50 717 NA 0–14 y: HR = 1.1Δ
15–25 y: HR = 0.9Δ
>25 y: HR = 1.0Δ
Breast cancer Age, education, family history of breast cancer, number of pregnancies, age at first birth, and occupational physical activity Interview
Chu et al. (38) China NCC 2,023 NA 408 NA HR = 2.54Δ Breast cancer Potential cofounders Interview
Pesch et al. (39) Germany CC 1,749 NA 857 NA >0–4 y: OR = 0.64Δ
5–9 y: OR = 0.93Δ
10–19 y: OR = 0.91Δ
≥20 y: OR = 2.49Δ
Breast cancer A potential selection bias using bootstrapping, family history of breast cancer, hormone replacement use, and number of mammograms Interview
Poole et al. (40) US CS 181,548 57.21 718 Nurses 1–2 y: HR = 1.07Δ
3–5 y: HR = 0.90Δ
6–9 y: HR = 0.92Δ
10–14 y: HR = 1.14Δ
15–19 y: HR = 1.28Δ
≥20 y: HR = 0.80Δ
Ovarian cancer Age, duration of oral contraceptive use, parity, BMI, smoking status, tubal ligation history, menopausal status, family history of ovarian cancer, duration of breast treating, and cohort Questionnaire
Kubo et al. (41) Japan CS 4,995 55.5 17 NA RR = 1.79Δ Prostate cancer Age, body mass index, alcohol intake, smoking, exercise, and marital status Questionnaire
Lie et al. (26) Norway NCC 1,594 54.46 699 Nurses 1–14 y: OR = 1.2Δ
15–29 y: OR = 1.2Δ
≥30 y: OR = 0.8Δ
Breast cancer Age, period of diagnosis, parity, family history of breast cancer in mother or sister (no/yes), and frequency of alcohol consumption at time of diagnosis Telephone interview
Hansen et al. (29) Denmark CS 1,117 NA 141 Women military OR = 1.4Δ Breast cancer Age, hormone replacement therapy, number of childbirths, age at menarche, years of education, occasional sunbathing frequency, tobacco smoking status Questionnaire
Parent et al. (42) Canada CC 3,670 59.18 761 NA <5 y: OR = 1.93Δ
5–10 y: OR = 1.51Δ
>10 y: OR = 1.67Δ
Lung cancer None Interview
Natti et al. (43) Finland CS 3,095 36.68 51 NA Men: HR = 1.78Δ
Women: HR = 2.82Δ
All cancer Age, and smoking status, and health- and work-related factors Interview
Lin et al. (44) Japan CS 22,224 52.19 16 Industry Fixed NSW: RR = 0.61Δ
Rotating NSW: RR = 0.83Δ
Pancreatic cancer Age, body mass index, history of diabetes, alcohol drinking, cigarette smoking, perceived stress, and sleep time. Questionnaire
Knutsson et al. (45) Sweden CS 4,036 42.31 94 NA HR = 2.02Δ Breast cancer Number of children, alcohol consumption, BMI, height, weight, waist, hip circumference, educational level, smoking menopausal status, status of oral contraceptive use, and hormones other than contraceptives Questionnaire
Bhatti et al. (46) US CC 3,322 NA 1,490 NA Invasive: OR = 1.24Δ Borderline: OR = 1.48Δ Ovarian cancer Age at reference, county, reference year, duration of oral contraceptive use, number of full-term pregnancies, and BMI at age 30 Interviews self-reported
Fritschi et al. (47) Australian CC 2,987 NA 1,202 NA OR = 1.16Δ Breast cancer Night shift work Questionnaire
Menegaux et al. (48) France CC 2,549 NA 1,232 NA OR = 1.27Δ Breast cancer Age, study area, parity, age at first full term pregnancy, age at menarche, family history of breast cancer, current hormonal replacement therapy, BMI, tobacco, and alcohol Interview
Grundy et al. (49) Canada CC 2,313 57.03 1,134 NA 0–14 y: OR = 0.95Δ
15–29 y: OR = 0.93Δ
≥30 y: OR = 2.21Δ
Breast cancer Years of night shift history Questionnaire
Rabstein et al. (50) Germany CC 1,749 NA 857 NA OR = 1.01Δ Breast cancer Family history of breast cancer, hormone replacement use, number of mammograms, and estrogen receptor status Interview
Koppes et al. (51) Netherland CS 285,723 NA 2,531 Employed women HR = 0.87Δ Breast cancer Age, origin, children in household education, occupation, job tenure (years) Interview
Gapstur et al. (52) US CS 305,057 51.44 4,836 NA Fixed NSW: RR = 0.72Δ
Rotating NSW: RR = 1.08Δ
Prostate cancer Age, race, education, BMI, smoking status, family history of prostate cancer, and painful/frequent urination Questionnaire
Carter et al. (53) US CS 161,004 50.28 1,253 Employed women Fixed NSW: R = 1.12Δ
Rotating NSW: RR = 1.27Δ
Ovarian cancer Oral contraceptive use, age at menarche and menopause, tubal ligation, parity, postmenopausal estrogen use, race, family history of breast/ovarian cancers, exercise, BMI, and height Questionnaire
Yong et al. (54) Germany CS 27,828 40.05 1,073 Chemical workers HR = 1.04Δ All cancer Age, job level, cigarette smoking, and employment duration in categories Questionnaire
Ren et al. (55) China CC 1,454 NA 712 NA OR = 1.34Δ Breast cancer Age, education, BMI, marital status, age at menarche, menopausal status, parity, activity, breastfeeding, family history of breast cancer, and other sleep factors Database
Datta et al. (56) India CC 150 NA 50 NA OR = 1.51Δ Breast cancer Age, obesity factors, and food habits Interview
Kwon et al. (57) China CS 4,471 54.01 1,451 Textile workers 0–17.1 y: HR = 0.76Δ
17.1–24.9 y: HR = 0.89Δ
24.9–30.6 y: HR = 0.94Δ
>30.6 y: HR = 0.82Δ
Lung cancer Age, smoking, parity, and endotoxin Factory record
Gu et al. (58) US CS 71,857 63.98 5,413 Nurses 1-5 y: HR = 1.03Δ
6–14 y: HR=1.04Δ
≥15 y: HR = 1.08Δ
All cancer Age, alcohol consumption, physical exercise, multivitamin use, menopausal status and postmenopausal hormone use, physical exam in the past 2 years, healthy eating score (quintiles), smoking status, pack-years; BMI, and husband's education Questionnaire
Hammer et al. (59) Germany CS 27,828 NA 337 NA HR = 0.93Δ Prostatic cancer Age and professional status Questionnaire
Lin et al. (60) Japan CS 22,224 52.00 165 NA NSW: HR = 0.86Δ
Rotating NSW: HR = 1.50Δ
Biliary tract cancer Age, BMI, history of cholelithiasis, history of diabetes, cigarette smoking, alcohol drinking, perceived stress, and sleep time Questionnaire
Akerstedt et al. (61) Sweden CS 13,656 51.50 463 NA HR = 0.96Δ Breast cancer Age, education level, tobacco consumption, BMI, having children, coffee consumption, previous cancer, use of hormones including oral contraceptives Physical activity Alcohol consumption Interview
Li et al. (62) China NCC 6,489 53.40 1,709 Textile workers >0–12.8 y: HR = 0.99Δ
>12.8–19.92 y: HR = 0.97Δ
>19.92–27.67 y: HR = 0.90Δ
>27.67 y: HR = 0.88Δ
Breast cancer Age at the beginning of follow-up Factory records and in-person interviews
Papantoniou et al.(63) Spanish CC 3,486 57.37 1,708 NA OR = 1.18Δ Breast cancer Age, center, educational level, parity, menopausal status, family history of breast cancer, BMI, smoking status, oral contraceptive use, leisure time physical activity, alcohol consumption, and sleep duration Interview
Santi et al. (64) Canada CC 1,519 58.00 744 Nurses OR = 1.39Δ Breast cancer Age, family history, level of education, oral contraception use, alcohol consumption, number of births, and age of first menstruation Questionnaire
Wang et al. (65) China CC 1,454 47.50 712 NA OR = 1.34Δ Breast cancer Age, education, BMI, age at menarche, menopausal status, parity, physical activity, breast-feeding, family history of breast cancer, and other sleep factors (24-h sleep duration, night-shift work, or daytime napping) Interviews
Travis et al. (16) UK CS 795,850 65.28 7,710 NA Million Women Study: RR = 1.00Δ
EPIC-Oxford: RR = 1.07Δ
UK Biobank: RR = 0.78Δ
Breast cancer Socioeconomic status, parity and age at first birth, BMI, alcohol intake, strenuous physical activity, family history of breast cancer, age at menarche, oral contraceptive use, smoking, living, with a partner, and use of menopausal hormone therapy Database
Heckman et al. (66) US CS 74,323 46.67 212 Nurses <2 y: HR = 0.85Δ
2–5.9 y: HR = 0.84Δ
6–9.9 y: HR = 1.13Δ
≥10 y: HR = 0.95Δ
Skin cancer Years of shift work, hours of sleep, sleep adequacy, sleepy days per week, snoring, restless legs syndrome, family history of melanoma, hours spent in sun, number of severe sunburns, sunburn severity, artificial tanning frequency, annual UV at residence, moles on lower legs, natural hair color in adolescence, marital status, financial status, BMI, physical activity, smoking status, menopausal status, hormone use, and healthy eating index Questionnaire
Dickerman et al. (67) Swizerland CS 11,370 40 602 NA HR = 0.5Δ
Rotating NSW: HR = 1.0
Prostatic cancer Age, education, BMI, physical activity, social class, smoking status, alcohol use, snoring, and zygosity Questionnaire
Gyarmati et al. (68) Spain CC 2,855 62.70 374 NA OR = 1.10Δ Stomach cancer Age, sex, educational level, cent re, BMI, cigarette smoking status, family history, and physical activity level Interviews
Bai et al. (69) China CS 25,377 62.72 1,251 NA 0.1–9.9 y: HR = 1.19Δ
10–19.9 y: HR = 1.06Δ
≥20 y: HR = 1.08Δ
All cancer Age, BMI, family history of cancer, alcohol drinking and smoking status, number of children, menopausal status, Questionnaire
hormone replacement therapy, and contraception status
Costas et al. (70) Spain CC 2,049 72.00 321 NA OR = 1.06Δ Leukemic cancer Adjusted for region, age, sex, worked on a farm, family history of hematologic malignancies, body mass index, tobacco consumption, sleep problems, and education Interview
Wegrzyn et al. (71) US CS 193,075 54.72 9,159 Nurses NHS 1–14 y: HR = 1.01Δ
15–29 y: HR =1 .06Δ
≥30 y: HR = 0.95Δ
NHS2 1–9 y: HR = 1.04Δ
10–19 y: HR = 0.94Δ
≥20 y: HR = 1.40Δ
Breast cancer Age, height, BMI, adolescent body size, age at menarche, age at first birth and parity combined, breast feeding, type of menopause and age duration mammography use activity, and current alcohol consumption, physical history of benign breast disease, family history of breast cancer, hormone therapy, first-degree progesterone menopausal duration of estrogen and hormone therapy Database
Vistisen et al. (23) Denmark CS 155,540 39.40 1,245 Nurses RR = 0.90Δ Breast cancer Calendar year, age, age at birth of first child, number of births, family history of breast cancer or ovarian cancer, oral contraception, hormone replacement therapy, other sex hormones, medication, mammography screening attendance, and highest family educational level Database
Jorgensen et al. (72) Denmark CS 28,731 44.00 945 Nurses HR = 1.05Δ
Rotating NSW: HR = 0.91
All cancer Age, smoking, pack-years, physical activity, BMI, alcohol consumption, diet (vegetables, fruit and fatty meat consumption), pre-existing diseases, health, stressful work environment, marital status, and female reproductive factors Interviews self-reported
Akerstedt et al. (24) Sweden CS 12,322 51.50 454 NA HR = 0.91Δ Prostatic cancer Age, education level, tobacco consumption, BMI, having children, coffee consumption, previous cancer, BMI, body mass index. Telephone interview
Behrens et al. (25) Germany CS 1,757 66.80 76 NA HR = 2.18Δ Prostatic cancer Age at event and adjusted for smoking (never, former smoker, current smoker) and family history of prostate cancer Questionnaire
Tse et al. (73) China CC 833 68.82 431 NA OR = 1.76Δ Prostatic cancer Age at interview, marital status, unemployment status, family prostate cancer history, consumption of deeply fried food, consumption of pickled vegetable, and green tea drinking habits Questionnaire
Papantoniou et al. (20) US CS 190,810 42.87 1,965 Nurses NHS 1–14 y: RR = 1.04Δ
≥15 y: RR = 1.15Δ
Colorectal cancer Age, height, BMI, educational level, menopausal status, menopausal hormone Questionnaires
NHS2 1–14 y: RR = 0.81Δ
≥15 y: RR = 0.96Δ
therapy, first-degree family history of colorectal cancer, alcohol consumption, physical activity, smoking status, and medication
Wendeu-Foyet et al. (21) France CC 1,693 NA 818 NA OR = 0.97Δ
Fixed NSW: OR = 1.04 Rotating NSW: OR = 0.81
Prostatic cancer Adjusted for age, family history of prostate cancer, race, and education level Self-report
Walasa et al. (22) Australia CC 760 NA 350 NA OR = 1.06Δ Colorectal cancer Potential demographic, lifestyle, and medical confounders Questionnaire
Jones et al. (74) UK CS 102,869 45 2,059 NA HR = 1.00Δ Breast cancer Age, time since recruitment, birth cohort, benign breast disease, family history of breast cancer in 1st degree relatives, socio-economic score, birth weight, height, BMI, age at first pregnancy, parity, breast-feeding, current oral contraceptive use before menopause, alcohol consumption, age started smoking, physical activity, etc. Questionnaire
Leung et al. (19) Canada CC 1,402 NA 496 NA <5.5 y: OR = 1.07Δ
≥5.5 y: OR = 0.88Δ
Ovarian cancer Adjusted for age (continuous), education (< high school, high school, college/technical, University undergraduate, University graduate) and parity (nulliparous, 1, 2, ≥3 full-term births) Interview

BMI, body mass index; CC, case-control study; CS, cohort study; HR, hazard ratio; N, number; NA, not available; NCC, nest case-control study; NSW, night-shift work; OR, odds ratio; RR, relative risk; NHS, nurses' health study;

Δ

data included in overall meta-analysis;

data included in subgroup meta-analysis.