We examined the association of night shift work history and age when night shift work was performed with cancer and cardiovascular disease risk factors among 54 724 women in the Nurses' Health Study (NHS) II.
We calculated age-adjusted and socioeconomic status-adjusted means and percentages for cancer and cardiovascular risk factors in 2009 across categories of night shift work history. We used multivariable-adjusted logistic regression to estimate odds ratios (ORs) and 95% CIs for key risk factors among 54 724 participants (72% ever shift workers). We further examined these associations by age (20–25, 26–35, 36– 45 and 46+ years) at which shift work was performed.
Ever night shift workers had increased odds of obesity (body mass index ≥30 kg/m2; OR=1.37, 95% CI 1.31 to 1.43); higher caffeine intake (≥131 mg/day; OR=1.16, 95% CI 1.12 to 1.22) and total calorie intake (≥1715 kcal/day; OR=1.09, 95% CI 1.04 to 1.13); current smoking (OR=1.30, 95% CI 1.19 to 1.42); and shorter sleep durations (≤7 h of sleep/day; OR=1.19, 95% CI 1.15 to 1.24) compared to never night shift workers. These estimates varied depending on age at which night work was performed, with a suggestion that night shift work before age 25 was associated with fewer risk factors compared to night shift work at older ages.
Our results indicate that night shift work may contribute to an adverse chronic disease risk profile, and that risk factors may vary depending on the age at which night shift work was performed.
Shift work is common in many occupations in modern society, particularly in service industries including healthcare, manufacturing and transportation. According to the Current Population Survey,
Adding to this data, we examined the distribution of risk factors for cancer and cardiovascular disease—the most common chronic diseases and leading causes of mortality in the USA
NHS II was initiated in 1989 when 116 430 female registered nurses, aged 25–42 years and living in 14 US states, completed an initial questionnaire on their medical history, health and lifestyle. Since 1989, similar questionnaires have been completed biennially to update this information, with follow-up rates at approximately 90%. This study was approved by the Institutional Review Board (IRB) of Brigham and Women's Hospital (Boston, Massachusetts, USA).
In 2009, 90 482 women completed the NHS II cohort questionnaire; of these, 71 997 recalled information on primary work schedule for each prespecified age range (from ages 20 to 25, 26–35, 36–45 and 46+ years). Thus, we have shift work information on each time period during a woman's working life, as it was recalled in 2009. Women who provided work schedule information were generally similar to women who did not provide work schedule information (eg, mean age=55.2 vs 54.2 years, mean body mass index=27.8 vs 27.7 kg/m2, respectively). To create unambiguous exposure groups and reduce possible misclassification, we restricted the population for analysis to women whose responses to multiple questions about work schedule histories were internally consistent; thus, we excluded 16 877 women who reported a primary non-night shift schedule with ≥1 night shifts per month during the specified age range, and 396 women who reported a primary night shift schedule and no night shifts per month during the specified age range. As a result, there were 54 724 women left in our analytic sample.
Participants reported detailed information on occupational history by age periods of their working life, including their primary shift work schedule, in 2009. Work schedule for each specific age range (20–25 years, 26–35 years, 36–45 years and 46+ years) was queried by asking women to report: ‘Your primary work schedule during each age range (Consider your schedule
Potential cancer and cardiovascular disease risk factors were derived from the main NHS II questionnaires and were determined a priori based on evidence from published literature. We grouped potential risk factors into the following categories: modifiable, non-modifiable and health-related risk factors.
Modifiable risk factors, including body mass index (BMI, in kg/m2), physical activity (MET-hours per week), smoking status, oral contraceptive use and postmenopausal hormone use were assessed in 2009; BMI at age 18 was assessed in 1989. Average hours of sleep over a 24-hour period were reported by age range of shift work in 2009. Dietary factors including alcohol (g/day), caffeine consumption (mg/day) and total energy intake (kcal/day) were assessed in 2007 because this was the cohort questionnaire most proximal to the reporting of shift work history. The Alternative Healthy Eating Index score (AHEI) was also assessed in 2007 and reflects adherence to a diet pattern based on foods and nutrients most predictive of disease risk; total scores range from 0 (non-adherence) to 110 (perfect adherence)
Non-modifiable risk factors, including age (years), menopausal status, age at menopause (years), parity, chronotype, living alone, and allergies were assessed in 2009; age at menarche was assessed in 1989. Nurses also reported their spouse/ partner's education level in 1999 (high school or less; 2 or 4-year college; graduate school; or not married/missing) as an indicator of SES.
Health-related risk factors, including medication use (ie, antihypertensives and aspirin), medical visits in the past 2 years (ie, mammography, physical examination and colonoscopy/sigmoidoscopy), and hypercholesterolaemia (blood cholesterol ≥200 mg/dL) were assessed in 2009; multivitamin use was assessed in 2007. History of diabetes, angina and high blood pressure, and family history of myocardial infarction and/or cancer, except non-melanoma skin cancer, were assessed in 1989 and information was updated subsequently on most of the biennial follow-up questionnaires.
Additional covariates assessed for secondary analyses include work stress and social support. Work stress was assessed in 1993 and 1997 with the 27-item Karasek Job Content Questionnaire,
Among the 54 724 women in our analysis, 15 391 women reported never working night shifts and 39 333 women reported working night shifts at some point during their career. Women who reported a primary shift schedule with rotating night shifts or nights only (ie, permanent nights) were categorised as ‘ever’ night shift workers. We calculated means and proportions of self-reported occupational characteristics across prespecified age ranges at which shift work was performed (age 20–25, 26–35, 36–45 and 46+;
Next, we used multivariable-adjusted logistic regression models to estimate odds ratios (ORs) and 95% CIs for modifiable risk factors whose age-adjusted and SES-adjusted means or percentages differed significantly by shift work status, dichotomising continuous outcomes (eg, caffeine and calorie intake) along the median of never night shift workers (
We conducted several secondary analyses. Given that psychosocial factors have been associated with adverse health effects, we adjusted for work stress (high strain, low strain, passive and active job) and social support (eg, close confidant) (yes, no). We also adjusted for type of nursing occupation (inside hospital, outside hospital, non-nursing/other) since work demand may vary by type of nursing occupation. To assess whether associations may be explained by either shift work intensity or shift work duration, we also conducted separate models that adjusted for average number of night shifts reported per month (0, 1–2, 3–4, 5–6, 7–8, 9–10, 11–15, 16–20, 21+ night shifts per month) and total years of night shift work (0, 1–<10, 10–<20, 20+ years).
For all analyses, we report multivariable-adjusted results, which were similar to age-and-SES adjusted results. All analyses were conducted with SAS software, V.9.3 (SAS Institute Inc, Cary, North Carolina, USA).
After adjusting estimates for age and SES and applying a Bonferonni correction, we observed several significant differences across chronic disease risk factors comparing ever vs never night shift workers (
In
In models that additionally adjusted for work stress, social support, type of nursing occupation and total years of night shift work, results did not substantially change (data not shown). Higher levels of average night shifts per month were significantly associated with an increased risk of obesity (eg, multivariable OR (95% CI) for 1–2 nights/month vs 0 nights/ month=1.13 (0.70 to 1.83); 3–4 nights/month vs 0 nights/ month=1.38 (0.85 to 2.22), 5–6 nights/month vs 0 nights/ month=1.65 (1.02 to 2.66), 7–8 nights/month vs 0 nights/ month=1.85 (1.15 to 2.99), 9–10 nights/month vs 0 nights/ month=1.85 (1.14 to 3.00), 11–15 nights/month vs 0 nights/ month=2.25 (1.39 to 3.64), 16–20 nights/month vs 0 nights/ month=2.28 (1.39 to 3.75), 21+ nights/month vs 0 nights/ month=3.42 (1.95 to 6.03); p-trend<0.0001). Furthermore, the increased risk of obesity was present across age categories among rotating and night only shift workers.
In this study of US female nurses, women were more likely to report a primary rotating night-shift schedule, full-time work and a nursing occupation within a hospital setting earlier in life compared to later in life. We also found that night shift workers tended to have a more adverse risk profile for chronic diseases compared to never night shift workers, and risk factors varied depending on age at which night work was performed.
Epidemiological studies, including previous studies in the NHS cohorts,
Interestingly, we found that higher intensity of night shift work was associated with an increased risk of obesity, suggesting that increasing average number of night shifts worked per month (possibly indicative of more severe circadian disruption) might be an important risk factor for obesity among shift workers. This is also reflected in the stronger ORs for obesity we observed among women who reported night only shift work as their primary work schedule (
While it appears plausible that the age at which an individual performed shift work may modulate the effects of shift work on health outcomes, no other prior study, to our knowledge, has examined this particular aspect of shift work among women. Previous data from the NHS cohorts indicate that longer durations of shift work are associated with higher cancer and CVD risk, whereas shorter durations do not appear to increase these risks.
The observed differences we found in chronotype among shift workers (ie, a lower proportion of morning chronotypes among night shift workers) were consistent with previous publications.
Strengths of this study include its size, wide variety of health and lifestyle characteristics, and detailed shift work information specific to the ages when work was performed. There are also several limitations of this study. First, these analyses are cross-sectional and do not necessarily have a causal interpretation. However, our results are intended to inform future prospective studies in exploring associations between night shift work and chronic disease risk. Second, our analyses utilise information on women's risk factor profiles from later in life, and therefore shorter term versus Longer term effects of shift work are not differentiated. Third, assessment of shift work was self-reported and ascertained retrospectively; hence, this exposure is susceptible to random misclassification. To alleviate some of this concern, we excluded women with inconsistent shift work histories in our analysis. If any misclassification is present, it is likely non-differential; however, given the nature of shift work, others have also reported the possibility of differential misclassification.
Taken together, our findings suggest that night shift work may be correlated with an adverse risk profile for chronic disease and that differences in risk profiles may exist, depending on the age range at which night shift work occurs. Differences in obesity risk suggested the most clinical relevance. Future prospective research is needed to confirm if timing of night shift work may impact adverse health effects. If confirmed, these findings may indicate that targeted lifestyle interventions for night shift workers should take into account the age at which night shift work starts and/or occurs, as risk factors may vary over the course of a woman's shift work career.
The authors would like to thank the participants and staff of the Nurses' Health Study II cohort for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY.
| Age 20–25 | Age 26–35 | Age 36–45 | Age 46+ | |||||
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| Characteristic | Per cent | Mean(SD) | Per cent | Mean(SD) | Per cent | Mean(SD) | Per cent | Mean(SD) |
| Occupation held the longest | – | – | – | – | ||||
| ER | 3.7 | 5.2 | 4.5 | 3.0 | ||||
| OR | 2.8 | 4.2 | 4.3 | 4.1 | ||||
| ICU | 18.2 | 17.0 | 9.4 | 5.6 | ||||
| Other inpatient nurse | 43.6 | 30.6 | 19.8 | 15.0 | ||||
| Nursing education or admin | 1.1 | 7.0 | 12.4 | 14.8 | ||||
| Outpatient or community | 3.0 | 9.2 | 14.9 | 16.8 | ||||
| Other hospital nursing | 9.5 | 8.2 | 7.5 | 7.7 | ||||
| Nursing outside hospital | 3.3 | 8.5 | 14.0 | 16.5 | ||||
| Non-nursing employment | 8.0 | 2.3 | 3.8 | 5.9 | ||||
| Full-time homemaker | 3.1 | 5.5 | 5.3 | 3.6 | ||||
| Retired | <1 | <1 | <1 | <1 | ||||
| Other | 3.5 | 2.0 | 3.7 | 5.8 | ||||
| Full-time work | 84.0 | 66.5 | 67.2 | 72.7 | ||||
| Primary work schedule | – | – | – | – | ||||
| Days/eves only | 44.6 | 61.3 | 72.6 | 80.0 | ||||
| Nights only | 14.3 | 12.6 | 9.9 | 7.1 | ||||
| Early mornings only | <1 | 1.3 | 2.2 | 2.8 | ||||
| Rotating with nights | 36.6 | 19.7 | 9.9 | 5.3 | ||||
| Rotating with no nights | <1 | <1 | <1 | <1 | ||||
| Other/did not work | 3.2 | 4.3 | 4.9 | 4.4 | ||||
| Years worked at occupation held the longest | 4.2 (1.4) | 7.8 (2.0) | 8.3 (1.6) | 7.2 (2.6) | ||||
| Total years of rotating night shifts | 3.0 (1.6) | 5.2 (2.9) | 6.0 (3.1) | 5.6 (3.4) | ||||
| Average night shifts per month | 10.9 (6.1) | 10.7 (6.0) | 10.9 (6.0) | 11.1 (6.1) | ||||
| Average hours of sleep over a 24-hour period | 7.1 (1.0) | 6.9 (1.0) | 6.9 (1.0) | 7.0 (1.0) | ||||
54 724 women reported these occupational characteristics for each age range in 2009.
Values are crude means and SDs or percentages estimated among all work schedules (eg, day/eves, nights, early mornings, rotating with nights, rotating with no nights and other) and among women with both part-time and full-time schedules, unless otherwise indicated.
May not add up to 100% due to rounding.
Values are estimated among women who reported a primary rotating with night shift schedule at the specific age range.
Values are estimated among women who reported a primary rotating with nights or night shifts only schedule at the specific age range.
ER, emergency room; ICU, intensive care unit; OR, operating room.
| Shift work categories | ||||
|---|---|---|---|---|
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| Never night shift work (n=15 391) | Ever night shift work (n=39 333) | |||
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| Characteristic | Per cent | Mean (SD) | Per cent | Mean (SD) |
| Modifiable factors | ||||
| Age, years | 56.0 (4.3) | 54.9 (4.4) | ||
| Body mass index, kg/m2 | 27.0 (6.0) | 28.1 (6.7) | ||
| Physical activity, MET-hours/week | 22.7 (28.4) | 23.7 (29.8) | ||
| Current average sleep over a 24-hour period, ≤7 h | 63 | 67 | ||
| Ever used oral contraceptives | 89 | 89 | ||
| Ever used postmenopausal hormones | 55 | 54 | ||
| Current smoker | 5 | 7 | ||
| Alcohol consumption, g/day | 6.3 (10.3) | 6.3 (10.2) | ||
| Caffeine consumption, mg/day | 167 (136) | 184 (142) | ||
| Alternative healthy eating index score | 55.3 (11.7) | 55.7 (11.5) | ||
| Total Calories, in kcal/day | 1772 (547) | 1822 (562) | ||
| Non-modifiable factors | ||||
| Age at menarche, years | 12.4 (1.4) | 12.4 (1.4) | ||
| Age at menopause, years | 47.4 (6.2) | 47.2 (6.5) | ||
| Postmenopausal | 76 | 76 | ||
| Nulliparous | 17 | 19 | ||
| Morning chronotype | 38 | 33 | ||
| Living alone | 11 | 13 | ||
| Any allergy | 29 | 30 | ||
| Health-related factors | ||||
| Family history of disease | – | – | ||
| Myocardial infarction | 44 | 46 | ||
| Cancer | 55 | 57 | ||
| Health/illness | – | – | ||
| History of diabetes (type II) | 6 | 8 | ||
| History of angina | 2 | 3 | ||
| History of high blood pressure | 33 | 36 | ||
| Blood cholesterol, ≥200 mg/dL | 35 | 34 | ||
| Medication or supplements | – | |||
| Antihypertension medication | 32 | 34 | ||
| Regular use of aspirin, ≥325 mg/tablet | 9 | 11 | ||
| Regular use of low dose aspirin, ≤100 mg /tablet | 25 | 26 | ||
| Multivitamin use | 59 | 60 | ||
| Medical visits in the past 2 years | – | |||
| Mammography | 92 | 90 | ||
| Physical examination | 93 | 93 | ||
| Colonoscopy/sigmoidoscopy | 35 | 35 | ||
Values are means and SDs or percentages standardised to the age and socioeconomic status (SES) distribution of the study population.
Reference group.
Metabolic equivalents from recreational and leisure time activities.
Nutrient intake was assessed in the 2007 cohort questionnaire with an embedded food frequency questionnaire (FFQ).
Alternative Healthy Eating Index (AHEI) score measures adherence to a diet pattern based on foods and nutrients most predictive of disease risk. The total score ranges from 0 (non-adherence) to 110 (perfect adherence).
Among postmenopausal women.
Reported as current use within the past 2 years and defined as ≥2 tablets per week.
Assessed in 2007.
p<0.0011 (significant after Bonferroni correction).
| Shift work categories | ||
|---|---|---|
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| Characteristic | Never worked night shifts (n=15 391) | Ever worked night shifts (n=39 333) |
| Obese (body mass index ≥30 kg/m2) | – | – |
| N (cases/non-cases) | 3822/11 218 | 12 161/26 329 |
| Model 1 | Ref | 1.37 (1.31 to 1.43) |
| Model 2 | Ref | 1.37 (1.31 to 1.43) |
| Model 3 | Ref | 1.26 (1.20 to 1.32) |
| Caffeine intake (≥131 mg) | – | – |
| N (cases/non-cases) | 6667/6665 | 18 402/14 994 |
| Model 1 | Ref | 1.22 (1.17 to 1.27) |
| Model 2 | Ref | 1.16 (1.12 to 1.22) |
| Total Calories (≥1715 kcal/day) | – | |
| N (cases/non-cases) | 6666/6666 | 17 860/15 536 |
| Model 1 | Ref | 1.14 (1.10 to 1.19) |
| Model 2 | Ref | 1.09 (1.04 to 1.13) |
| Current smoker | – | – |
| N (cases/non-cases) | 764/14 627 | 2625/36 708 |
| Model 1 | Ref | 1.35 (1.24 to 1.47) |
| Model 2 | Ref | 1.30 (1.19 to 1.42) |
| Average sleep (≤7 h) | – | – |
| N (cases/non-cases) | 9233/5595 | 25 349/12 681 |
| Model 1 | Ref | 1.19 (1.15 to 1.24) |
| Model 2 | Ref | 1.19 (1.15 to 1.24) |
N's vary due to missing data among modifiable risk factors.
Adjusted for age (5 years), education level of the nurse's spouse/partner (≤ high school, 2-year or 4-year college, graduate school or not married/missing).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week) and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 2 covariates plus body mass index at age 18 (<18.5, 18.5 to <20, 20 to <22.5, 22.5 to <25, 25 to <27.5, ≥27.5 kg/m2).
Assessed in 2007 and median value based on never night shift workers.
Adjusted for model 1 covariates plus total calories (quintiles, kcal/day) and smoking status (never, past, current smoker).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (quintiles, mg), smoking status (never, past, current smoker), chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (quintiles, mg), alternative healthy eating index (quintiles) and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Average hours of sleep over a 24-hour period.
Adjusted for model 1 covariates plus chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
| Rotating night shift work categories at age ranges | |||||
|---|---|---|---|---|---|
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| Characteristic | Never worked night shifts (N=15 391) | Ever worked rotating night shifts at age 20–25 (N=20 022) | Ever worked rotating night shifts at age 26–35 (N=10 761) | Ever worked rotating night shifts at age 36–45 (N=5392) | Ever worked rotating night shifts at age 46+ (N=2885) |
| Obese (body mass index ≥30 kg/m2) | – | – | – | – | – |
| N (cases/non-cases) | 3822/11 218 | 5510/14 129 | 3412/7101 | 1764/3508 | 977/1839 |
| Model 1 | Ref | 1.00 (0.96 to 1.05) | 1.22 (1.16 to 1.28) | 1.08 (1.01 to 1.15) | 1.15 (1.06 to 1.26) |
| Model 2 | Ref | 1.06 (1.02 to 1.11) | 1.25 (1.19 to 1.32) | 1.05 (0.98 to 1.13) | 1.12 (1.02 to 1.22) |
| Model 3 | Ref | 1.01 (0.96 to 1.06) | 1.19 (1.12 to 1.26) | 1.02 (0.94 to 1.10) | 1.11 (1.00 to 1.23) |
| Caffeine intake (≥131 mg) | – | – | – | – | – |
| N (cases/non-cases) | 6667/6665 | 9451/7694 | 5110/4020 | 2565/1945 | 1399/ 989 |
| Model 1 | Ref | 1.10 (1.05 to 1.14) | 1.09 (1.04 to 1.14) | 1.08 (1.01 to 1.16) | 1.18 (1.07 to 1.29) |
| Model 2 | Ref | 1.08 (1.04 to 1.13) | 1.05 (0.99 to 1.10) | 1.04 (0.97 to 1.12) | 1.16 (1.06 to 1.27) |
| Total Calories (≥1715 kcal/day) | – | – | – | – | – |
| N (cases/non-cases) | 6666/6666 | 9272/7873 | 4949/4181 | 2508/2002 | 1374/1014 |
| Model 1 | Ref | 1.09 (1.05 to 1.14) | 1.05 (1.00 to 1.10) | 1.09 (1.02 to 1.17) | 1.20 (1.09 to 1.31) |
| Model 2 | Ref | 1.06 (1.02 to 1.11) | 1.03 (0.98 to 1.08) | 1.09 (1.01 to 1.16) | 1.15 (1.05 to 1.26) |
| Current smoker | – | – | – | – | – |
| N (cases/non-cases) | 764/14 627 | 1130/18 892 | 747/10 014 | 433/4959 | 220/2665 |
| Model 1 | Ref | 0.96 (0.89 to 1.04) | 1.17 (1.07 to 1.28) | 1.26 (1.12 to 1.42) | 1.10 (0.94 to 1.28) |
| Model 2 | Ref | 0.98 (0.91 to 1.07) | 1.19 (1.08 to 1.30) | 1.23 (1.09 to 1.39) | 1.03 (0.88 to 1.20) |
| Average sleep (≤7 h) | – | – | – | – | – |
| N (cases/non-cases) | 9233/5595 | 12 948/6432 | 6937/3449 | 3517/1682 | 1986/796 |
| Model 1 | Ref | 1.13 (1.08 to 1.17) | 1.04 (0.99 to 1.09) | 1.03 (0.96 to 1.10) | 1.33 (1.21 to 1.45) |
| Model 2 | Ref | 1.13 (1.08 to 1.17) | 1.04 (0.99 to 1.09) | 1.03 (0.96 to 1.10) | 1.33 (1.22 to 1.46) |
The number of women in ever rotating night shifts by age range does not include nights only shift work and women can be in multiple age ranges when night shift work was performed.
N's vary due to missing data among modifiable risk factors.
Adjusted for age (5 years), education level of the nurse's spouse/partner (≤high school, 2-year or 4-year college, graduate school or not married/missing), primary night only shift work at age 20-25, 26-35, 36-45, 46+ (yes, no at each age-range).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week) and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 2 covariates plus body mass index at age 18 (<18.5, 18.5 to <20, 20 to <22.5, 22.5 to <25, 25 to <27.5, ≥27.5 kg/m2).
Assessed in 2007 and median value based on never night shift workers.
Adjusted for model 1 covariates plus total calories (quintiles, kcal/day) and smoking status (never, past, current smoker).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (mg), smoking status (never, past, current smoker), chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 1 covariates plus physical activity (quintiles met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (quintiles, mg), alternative healthy eating index (quintiles), and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Average hours of sleep over a 24-hour period.
Adjusted for model 1 covariates plus chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
| Night only shift work categories at age ranges | |||||
|---|---|---|---|---|---|
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| Characteristic | Never worked night shifts (N=15 391) | Ever worked night only shifts at age 20–25 (N=7847) | Ever worked night only shifts at age 26–35 (N=6915) | Ever worked night only shifts at age 36–45 (N=5442) | Ever worked night only shifts at age 46+ (N=3909) |
| Obese (body mass index≥30 kg/m2) | – | – | – | – | – |
| N (cases/non-cases) | 3822/11 218 | 2734/4933 | 2576/4175 | 2071/3237 | 1597/2221 |
| Model 1 | Ref | 1.30 (1.23 to 1.38) | 1.33 (1.25 to 1.41) | 1.13 (1.05 to 1.22) | 1.38 (1.28 to 1.50) |
| Model 2 | Ref | 1.30 (1.23 to 1.38) | 1.33 (1.25 to 1.42) | 1.07 (0.99 to 1.15) | 1.23 (1.12 to 1.33) |
| Model 3 | Ref | 1.16 (1.09 to 1.24) | 1.28 (1.20 to 1.38) | 1.05 (0.97 to 1.14) | 1.20 (1.09 to 1.32) |
| Caffeine intake (≥131 mg) | – | – | – | – | – |
| N (cases/non-cases) | 6667/6665 | 3524/3085 | 3153/ 2619 | 2488/2061 | 1797/ 1437 |
| Model 1 | Ref | 1.01 (0.95 to 1.06) | 1.06 (0.99 to 1.12) | 1.01 (0.94 to 1.09) | 1.09 (1.00 to 1.19) |
| Model 2 | Ref | 1.00 (0.94 to 1.06) | 1.03 (0.97 to 1.10) | 1.00 (0.93 to 1.08) | 1.08 (0.99 to 1.18) |
| Total Calories (≥1715 kcal/day) | – | – | – | – | – |
| N (cases/non-cases) | 6666/6666 | 3479/3130 | 3016/2756 | 2351/2198 | 1697/1537 |
| Model 1 | Ref | 1.03 (0.98 to 1.09) | 1.01 (0.95 to 1.08) | 0.97 (0.90 to 1.05) | 1.05 (0.97 to 1.15) |
| Model 2 | Ref | 1.02 (0.96 to 1.08) | 0.99 (0.93 to 1.05) | 0.97 (0.89 to 1.04) | 1.00 (0.92 to 1.09) |
| Current smoker | – | – | – | – | – |
| N (cases/non-cases) | 764/14 627 | 599/7248 | 573/6342 | 468/4974 | 395/3514 |
| Model 1 | Ref | 1.19 (1.07 to 1.31) | 1.22 (1.09 to 1.36) | 1.08 (0.94 to 1.23) | 1.47 (1.28 to 1.69) |
| Model 2 | Ref | 1.19 (1.07 to 1.32) | 1.22 (1.09 to 1.36) | 1.03 (0.90 to 1.18) | 1.25 (1.08 to 1.44) |
| Average sleep (≤7 h) | – | – | – | – | – |
| N (cases/non-cases) | 9233/5595 | 5019/2557 | 4471/2211 | 3573/1682 | 2671/1095 |
| Model 1 | Ref | 1.05 (1.00 to 1.11) | 1.03 (0.97 to 1.09) | 1.00 (0.93 to 1.08) | 1.32 (1.21 to 1.44) |
| Model 2 | Ref | 1.06 (1.00 to 1.12) | 1.03 (0.97 to 1.09) | 1.00 (0.93 to 1.08) | 1.33 (1.22 to 1.45) |
The number of women in ever night only shifts by age range does not include rotating night shifts and women can be in multiple age ranges when night shift work was performed.
N's vary due to missing data among modifiable risk factors.
Model 1 is adjusted for age (5 years), education level of the nurse's spouse/partner (≤high school, 2-year or 4-year college, graduate school, or not married/missing), primary rotating with night shift work at age 20–25, 26–35, 36–45, 46+ (yes, no at each age-range).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week) and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 2 covariates plus body mass index at age 18 (<18.5, 18.5 to <20, 20 to <22.5, 22.5 to <25, 25 to <27.5, ≥27.5 kg/m2).
Assessed in 2007 and median value based on never night shift workers.
Adjusted for model 1 covariates plus total calories (quintiles, kcal/day) and smoking status (never, past, current smoker).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (quintiles, mg), smoking status (never, past, current smoker), chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Adjusted for model 1 covariates plus physical activity (quintiles, met-hour/week), body mass index (18.5 to <25, 25 to <30, ≥30 kg/m2), caffeine intake (quintiles, mg), alternative healthy eating index (quintiles), and chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Average hours of sleep over a 24-hour period.
Adjusted for model 1 covariates plus chronotype (definitely a morning type, more of a morning than evening type, more of an evening than morning type, definitely an evening type and neither).
Recent studies have suggested that working at night is associated with an adverse risk profile for chronic diseases.
Adding to this data, we evaluated the effects of night shift work and timing by specific age ranges on chronic disease risk factors among 54 724 women in the Nurses' Health Study II.
Our findings indicate that targeted lifestyle interventions for night shift workers should potentially take into account age when shift work is performed, as risk factors may vary over the course of a woman's shift work career.