Abstract
Background
Night shift work surrounding pregnancy may contribute to the risk of developing atopic diseases in offspring due to alterations in the prenatal environment, from stress.
Objective
To examine the association of maternal night shift work surrounding pregnancy and offspring risk of developing atopic diseases from childhood to adolescence.
Methods
We examined the association between night shift work before and during pregnancy among 4,044 mothers in the Nurses’ Health Study II (NHSII) and atopic dermatitis, asthma and hay fever risk in 4,813 of their offspring enrolled in the Growing Up Today Study (GUTS). Mothers reported whether GUTS participants had ever been diagnosed with atopic dermatitis, asthma or hay fever in the GUTS Mothers’ questionnaire. Generalized estimating equation regression models were used to estimate multivariable adjusted odds ratios (OR) and 95% confidence intervals (CIs).
Results
There were no significant associations between pre-conception maternal night shift work and risk of atopic dermatitis, asthma or hay fever in their offspring. Among 545 mothers with information on night shift work during pregnancy, shift work also was not associated with atopic dermatitis, asthma or hay fever in the offspring. Stratified analyses by history of parental atopy and maternal chronotype showed some statistically significant findings, but they were inconsistent and no significant interaction was seen with increasing duration of night shift work.
Conclusion
In this study, night shift work before and during pregnancy did not increase offspring risk of developing atopic dermatitis, asthma or hay fever.
Introduction
Atopic diseases such as atopic dermatitis (AD), asthma and hay fever are among the most common chronic conditions in childhood and often coexist in the same individual [1,2]. Previous studies suggest there may be an “atopic march;” that these atopic manifestations progress sequentially beginning with AD and leading to asthma and/or hay fever [3,4]. AD is a common inflammatory skin disease that usually begins in childhood, with a prevalence of 20% in children worldwide [5]. AD can have detrimental effects on overall quality of life, whether the patient is a child or adult [6]. Among skin diseases, dermatitis is accountable for the largest global burden of disability-adjusted life years (DALYS) and morbidity (Years Lived with Disability) [7]. While AD is more prevalent in children under five years of age, current literature conveys that AD can persist into adolescence and adulthood [8–11]. It is important to understand this disease early on and how prenatal exposure to early life factors can potentially affect the onset and progression of this skin disease. Family history (e.g. shared genetics and environmental factors) has been mentioned as the most common driving factor for developing any atopic disease [1,12–16].
However, past research also suggested that changes in the prenatal environment, due to different maternal exposures [17–19], can influence the development of the fetus and potentially modulate the risk of diseases later in life [20].
Rotating night shift work is known to negatively impact circadian rhythms both in mothers working night shifts as well as in their unborn children [21,22]. It is considered an emerging risk factor for multiple chronic diseases and increased inflammation likely because of stress caused from circadian disruption [23–28].
In particular, stress due to night work appears to reduce oxidative DNA damage repair capacity due to melatonin suppression [29]. Previous studies have additionally reported epigenetic alterations in individuals who work night shifts [30,31], suggesting the potential for transgenerational impacts [32,33]. Further, the stress experienced from circadian rhythm changes during night shift work could potentially induce changes in the intrauterine environment [34,35], and is a potential risk factor for elevated immunoglobulin E (IgE) in cord blood, suggesting increased inflammation and transmission of IgE to the child, and T-helper 1 (Th1)/ T-helper 2 (Th2) imbalances in the in utero environment, all of which could enable the development of atopic diseases [36–38].
Little is known about prenatal occupational exposure as a risk factor for childhood and adolescent atopic diseases and there are no studies so far that specifically assessed the association of night shift work before and during pregnancy and the incidence of offspring atopic diseases. The aim of this study is to determine the association between maternal night shift work before pregnancy and during pregnancy and the risk of ever developing AD, asthma or hay fever in the offspring. We hypothesized that the risk of these atopic diseases in the offspring will be increased if mothers worked night shifts before pregnancy and that this risk would be even more elevated if mothers also worked night shifts during pregnancy. Because individual chronotype may interact with working times and thereby modulate disease risk [39], we tested how chronotype may modulate these associations.
Methods
Study population
The Nurses’ Health Study II (NHSII) is an ongoing prospective cohort study of female registered nurses that was established in 1989. A total of 116,429 nurses, aged 25 to 42 responded to a mailed questionnaire regarding their lifestyle, health behaviors and medical histories. Follow-up questionnaires are mailed biennially and used to update this information. Children, aged 9 to 15, who were born to women from the NHSII between 1987 and 1995, were invited to participate in the Growing Up Today Study (GUTS) in 2004. After obtaining maternal consent, invitation letters and questionnaires were mailed to 17,280 children which inquired about their health and lifestyle factors. Of these children, 10,918 completed and returned the questionnaires. Follow-up questionnaires, used to updated information on health and lifestyle, were mailed in 2006, 2008, 2011 and 2013. Mothers of GUTS participants also completed questionnaires related to their children in 2009.
Exposure assessment
Maternal history of rotating night shift work before conception
Nurses were first asked to report the total number of years they worked rotating night shifts on the NHSII baseline questionnaire in 1989. Rotating night shift work was defined as working “at least three nights per month in addition to working days or evenings in the respective month”. This was updated in 1991 and 1993. The 2001 questionnaire retrospectively assessed night shift work duration for the time between 1993 and 1995. Since GUTS children were born up until 1995, baseline shift work history and updated shift work information was added together to derive a cumulative shift work exposure for shift work before conception from 1989 to 1995.
Maternal rotating night shift work during pregnancy
In 2001, NHSII participants who had reported one pregnancy since 1993 and were working as a nurse were sent a supplementary questionnaire which inquired about specific occupational exposures, including rotating shift work during their most recent pregnancy since 1993.
Outcome assessment
The primary outcome was physician-diagnosed AD reported by the mother in the 2009 GUTS Mothers’ questionnaire, where mothers were asked if their child “ever had physician-diagnosed eczema (AD)”. As secondary outcomes we considered maternal reports of physician-diagnosed asthma and hay fever (also from 2009), since individuals with these atopic diseases are more likely to have a true AD diagnosis [2].
Additionally, we had information on child-reported AD outcomes from the GUTS questionnaires in 2006, 2008, 2013. These were combined with maternal reports of AD to obtain more consistent reports of AD diagnosis.
Covariate assessment
The 2009 GUTS Mothers’ questionnaire assessed if mothers ever breastfed their child. Data regarding maternal and paternal physician-diagnosed eczema, asthma and hay fever was also obtained from this questionnaire. Parental atopy was derived by combining NHSII participant’s report of her own physician-diagnosed eczema, asthma or hay fever, as well as their child’s biological father’s diagnosis. Maternal age at delivery was calculated by computing the difference between mother’s and child’s dates of birth. Using the validated food frequency questionnaire (FFQ) from the 1991 main NHSII questionnaire, we were able to examine maternal diet quality, from which alcohol intake and the Alternative Healthy Eating Index (AHEI) was derived [40]. Energy expenditure in metabolic equivalent (MET) hours per week was derived from the 1989 baseline questionnaire when participants were asked to report frequency of various physical activities. Smoking habits and weight and height measurements before pregnancy were collected biennially and the information that was closest to, but before the conception of the first child included in the study, was used for determining smoking status and to calculate body mass index (BMI).
We obtained US Census tract data from 1989, including median household income and percentage of the population having a college degree in the neighborhood the mother lived, which was used to depict the family’s socioeconomic status (SES) around the child’s birth and early childhood. Other variables used to capture SES include family household income in 2001, husband’s level of education in 1999, and geographic region where GUTS children were living at baseline in 2004.
In 2009, maternal chronotype was assessed by a single question from the Morningness-Eveningness Questionnaire [41]. This question has been validated for classifying individuals as “definitely a morning type”, “rather more a morning than an evening type”, “rather more an evening than a morning type”, “definitely an evening type” or none of these [42].
Analysis sample
The final sample for the analysis assessing pre-conception shift work and atopy outcomes included 4,044 mothers who had given birth to 4,813 children. Of the original cohort of 10,918 children, 4,720 were excluded because they were born before 1989 (the first exposure assessment of maternal rotating night shift work occurred in 1989). Further exclusions were twins and triplets (87 mothers, 195 children), non-full-term pregnancies (<37 weeks gestation) (1,001 mothers, 1,183 children), and mother-child pairs that had missing exposure information (6 mothers, 7 children), see S1 Fig for an overview.
The sample used to assess the association of shift work during pregnancy and atopy outcomes comprised of mothers who participated in the occupational supplemental questionnaire in 2001. A total of 621 mother-child pairs were identified. Of these pairs, non-full-term pregnancies (72 mother-child pairs) were excluded as well as pairs with missing exposure information (4 mother-child pairs). A total of 545 mother-child pairs were included in the final analysis of rotating shift work during pregnancy and atopic outcomes in offspring.
Statistical analysis
Since siblings were included in the analysis relating maternal history of rotating night shift work before conception and atopic outcomes, we used generalized estimating equation (GEE) regression models to account for familial clustering in the estimation of odds ratios (ORs) and 95% confidence intervals (CIs) for AD, asthma and hay fever across four categories of cumulative rotating night shift work before conception (none, < 3years, 3–5 years, ≥ 6 years). We also examined these atopic outcomes in offspring by comparing mothers who ever worked rotating night shifts versus mothers who never worked rotating night shifts.
Basic models were adjusted for offspring age at baseline and sex. In multivariable model 1 (MV model 1), we further adjusted for maternal age at pregnancy, BMI and smoking status before pregnancy, AHEI diet score, physical activity, husband’s education level, parity, geographic region of residence at GUTS baseline, and the Census tract education rate in that region in 1989. Parental atopy was added to the existing covariates used in MV model 1 into our fully adjusted model (MV model 2). To test for possible effect modification, we assessed the association between night shift work and offspring atopic outcomes by including multiplicative interaction terms (night shift work and parental atopy; maternal chronotype) in multivariable regression models.
To obtain odds ratios and 95% CIs comparing children whose mothers worked night shifts during pregnancy to those whose mothers did not, we used standard multivariable logistic regression models with similar adjustment sets as described above.
All analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC) and all statistical tests were two-sided and considered statistically significant at p <0.05.
This study was approved by the Human Subjects Committees at the Brigham and Women’s Hospital and the Harvard T.H. Chan School of Public Health (Boston, Massachusetts).
Results
Maternal history of rotating night shift work before conception
The 4,044 mothers in our analysis were, on average, 33.4 (±3.6) years of age when they gave birth to the children in this study. The 4,813 children were, on average, 11.7 (± 1.2) years of age when they were enrolled in the GUTS study with 46.6% being girls and 53.4% being boys. A total of 2,620 mothers (64.8%) ever worked rotating night shifts. When comparing maternal characteristics, there were minor differences across categories of shift work duration (Table 1). Mothers who reported working a longer duration of shift work were slightly older at delivery and had a slightly higher BMI. They were also more likely to be past or current smokers before pregnancy and to adhere to the AHEI diet. Mothers reporting a longer duration of shift work also had higher rates of caesarean deliveries. Mothers who worked 3–5 years of night shift work had a higher frequency of AD and also reported a higher frequency of fathers (child’s biological father) having AD.
Table 1. Maternal and offspring characteristics by maternal rotating night shift work history before pregnancy, for 4,044 mothers and 4,813 children born between 1989 and 1995, enrolled in the growing up today study.
History of rotating night shift work | |||||
---|---|---|---|---|---|
Characteristic | Never worked rotating night shifts | <3 yrs | 3–5 yrs | ≥6 yrs | Ever worked rotating night shifts |
(n = 1,424) | (n = 1,254) | (n = 946) | (n = 420) | (n = 2,620) | |
Maternal age at delivery, mean (SD) | 33.1 (3.5) | 33.2 (3.6) | 33.4 (3.5) | 35.0 (3.2) | 33.6 (3.5) |
BMI before pregnancy, a mean (SD) | 22.7 (3.9) | 22.7 (3.8) | 23.0 (3.9) | 23.3 (4.2) | 22.9 (3.9) |
AHEI,b mean (SD) | 42.6 (10.4) | 43.5 (9.9) | 43.7 (10.2) | 44.3 (10.2) | 43.7 (10.0) |
Physical activity, MET-hrs /wk. b, c median (IQR) | 11.8 (4.9–24.8) | 15.4 (6.9–30.3) | 13.9 (5.6–29.7) | 14.9 (5.4–28.4) | 14.9 (6.1–30.1) |
Smoking history before pregnancy, a % d | |||||
Never | 75.3 | 74.0 | 73.2 | 63.2 | 71.9 |
Past | 18.2 | 19.7 | 20.2 | 26.3 | 20.9 |
Current | 6.5 | 6.4 | 6.7 | 10.5 | 7.2 |
Alcohol intake (gm/day) b, mean (SD) | 2.4 (4.7) | 2.5 (4.8) | 2.8 (5.1) | 2.9 (4.5) | 2.7 (4.9) |
Husbands holding a graduate degree e, % | 31.9 | 36.5 | 37.1 | 31.1 | 35.9 |
Household annual income category f, mean (SD) | 7.3 (1.7) | 7.4 (1.7) | 7.4 (1.7) | 7.5 (1.7) | 7.4 (1.7) |
US Census tract median household income g | 62,644 (22,173) | 63,142 (23,412) | 62,942 (22,719) | 61,272 (22,400) | 62,779 (23,005) |
US Census tract % college educated g | 30.6 | 32.1 | 33.2 | 31.6 | 32.4 |
Geographic region of residence h, % | |||||
West | 20.5 | 14.8 | 12.9 | 10.1 | 13.4 |
Midwest | 34.2 | 36.5 | 36.1 | 33.7 | 35.9 |
South | 14.8 | 16.0 | 16.7 | 11.3 | 15.5 |
Northeast | 30.6 | 32.7 | 34.3 | 44.8 | 35.2 |
Parity before first included pregnancy | |||||
Nulliparous | 20.3 | 21.8 | 22.0 | 20.5 | 21.6 |
One previous pregnancy | 32.4 | 29.0 | 30.0 | 30.7 | 29.7 |
Two previous pregnancies | 24.0 | 25.8 | 26.0 | 25.2 | 25.8 |
Three previous pregnancies | 23.3 | 23.4 | 22.0 | 23.6 | 22.9 |
Breastfed everi,j, % | 86.5 | 88.7 | 87.9 | 84.2 | 87.7 |
Caesarean delivery, % | 22.4 | 22.3 | 24.6 | 26.4 | 23.8 |
Mother ever had atopic dermatitis j, % | 8.6 | 8.2 | 9.9 | 8.6 | 8.9 |
Mother ever had asthma j, % | 11.2 | 13.0 | 11.5 | 12.6 | 12.4 |
Mother ever had hay fever j, % | 21.7 | 21.9 | 21.7 | 21.7 | 21.8 |
Father ever had atopic dermatitis g, % | 4.4 | 4.7 | 5.9 | 4.5 | 5.1 |
Father ever had asthma j, % | 8.6 | 6.3 | 7.5 | 8.1 | 7.0 |
Father ever had hay fever j,% | 20.9 | 20.6 | 17.3 | 17.1 | 18.9 |
Mother’s chronotype, % | |||||
Definite morning type | 31.9 | 36.0 | 34.4 | 37.4 | 35.6 |
Intermediate type | 56.9 | 55.0 | 55.6 | 52.1 | 54.7 |
Definite evening type | 11.3 | 9.1 | 10.1 | 10.5 | 9.6 |
Number of pregnancies, n | 1,683 | 1,507 | 1,132 | 491 | 3,130 |
Offspring gender | |||||
Male, % | 46.1 | 45.0 | 48.2 | 49.3 | 46.8 |
Female, % | 54.0 | 55.0 | 51.8 | 50.7 | 53.2 |
Offspring age at GUTS baseline 2004 | 11.8 (1.2) | 11.6 (1.2) | 11.6 (1.2) | 11.6 (1.3) | 11.6 (1.2) |
Abbreviations: IQR, interquartile range; SD, standard deviation; AHEI, alternative healthy eating index; METS, metabolic-equivalent hours
a Recorded on the most recent questionnaire prior to conception of first included offspring
b Recorded in 1991
c One metabolic-equivalent-hour is proportional to the amount of energy spent sitting quietly for one hour.
d Percentages are of non-missing values.
e Recorded in 1999
f Reported in 2001, the scale had 9 levels, from 1 = <$15,000 to 9 = ≥$150,000
g Recorded in 1989
h At GUTS baseline (2004) West: AK,HI,WA,OR,CA,NV,NM,ID,UT,AZ,MT,WY,CO; Midwest: MN,IA,NE,KS,OK,WI,IL,IN,MI,OH,ND,SD,MO; South: AL,AR,GA,FL,MS,LA,TX,TN,KY,NC,SC,VA,WV; Northeast: DC,DE,MD,CT,NJ,NY,NH,PA,ME,MA,VT,RI
i Only parous women
j Recorded in 2009 GUTS Mothers’ questionnaire
Since differences between the age- and sex-adjusted versus multivariable models were small, we focused on the results from our fully-adjusted models (MV models 2). There was no overall association between maternal night shift work before pregnancy and maternal-reported offspring AD (ORever nightshifts = 0.98; 95% CI = 0.80–1.19) (Table 2). Shift work was also not associated with either asthma (ORever nightshifts = 1.09; 95% CI = 0.92–1.31) or hay fever (ORever nightshifts = 1.07; 95% CI = 0.89–1.28). There was no significant trend with increasing years of rotating night shift work (all Ptrend > 0.05).
Table 2. Maternal report of child’s atopic dermatitis, asthma and hay fever: Adjusted odds ratios (OR) for offspring risk of atopic dermatitis during childhood and adolescence according to maternal rotating night shiftwork history before pregnancy, restricted to singleton, full-term births.
History of rotating night shift work | ||||||
---|---|---|---|---|---|---|
Never worked rotating night shifts | <3 yrs | 3–5 yrs | ≥6 yrs | P trend | Ever worked rotating night shifts | |
Maternal report of child’s atopic dermatitis* | ||||||
OR (95% CI) | ||||||
Cases/participants | 190/1,683 | 157/1,507 | 133/1,132 | 57/491 | 347/3,130 | |
Basic model a | 1 (reference) | 0.90 (0.71; 1.13) | 1.03 (0.80; 1.31) | 1.04 (0.76; 1.43) | 0.56 | 0.97 (0.80; 1.17) |
MV model 1b | 1 (reference) | 0.91 (0.72; 1.15) | 1.04 (0.81; 1.33) | 1.04 (0.75; 1.44) | 0.58 | 0.98 (0.80; 1.19) |
MV model 2c | 1 (reference) | 0.90 (0.71; 1.14) | 1.06 (0.82; 1.36) | 1.06 (0.76; 1.47) | 0.46 | 0.98 (0.80; 1.19) |
Maternal report of child’s asthma* | ||||||
OR (95% CI) | ||||||
Cases/participants | 248/1,683 | 245/1,507 | 170/1,132 | 87/491 | 502/3,130 | |
Basic model a | 1 (reference) | 1.12 (0.92; 1.37) | 1.02 (0.82; 1.27) | 1.24 (0.94; 1.62) | 0.40 | 1.10 (0.93; 1.31) |
MV model 1b | 1 (reference) | 1.12 (0.91; 1.36) | 1.00 (0.81; 1.25) | 1.22 (0.92; 1.61) | 0.51 | 1.09 (0.92; 1.29) |
MV model 2c | 1 (reference) | 1.10 (0.90; 1.36) | 1.01 (0.81; 1.27) | 1.27 (0.95; 1.70) | 0.37 | 1.09 (0.92; 1.31) |
Maternal report of child’s hay fever* | ||||||
OR (95% CI) | ||||||
Cases/participants | 274/1,683 | 264/1,507 | 178/1,132 | 85/491 | 527/3,130 | |
Basic model a | 1 (reference) | 1.10 (0.91; 1.34) | 0.96 (0.78; 1.19) | 1.07 (0.81; 1.40) | 0.82 | 1.05 (0.89; 1.23) |
MV model 1b | 1 (reference) | 1.11 (0.92; 1.35) | 0.96 (0.77; 1.19) | 1.11 (0.84; 1.46) | 0.96 | 1.06 (0.89; 1.25) |
MV model 2c | 1 (reference) | 1.10 (0.89; 1.35) | 0.99 (0.78; 1.25) | 1.16 (0.86; 1.57) | 0.74 | 1.07 (0.89; 1.28) |
*Assessed in 2009 from GUTS Mothers’ questionnaire; Defined as physician-diagnosed eczema (atopic dermatitis), asthma, hay fever
Abbreviations: CI, confidence interval; OR, odds ratio; MV, multivariable model
a Adjusted for offspring gender (boy/girl) and offspring age at GUTS baseline 2004
b Additionally adjusted for maternal age at pregnancy, smoking status before pregnancy (never, current, past), alternative healthy eating score (quintiles), physical activity (METs hours/week; quintiles), husband’s education (less than 2yr college, 4yr college, grad school), parity (nulliparity, 1, 2, 3+ previous pregnancies), BMI before pregnancy (<25, 25–29, ≥30 kg/m2), geographic region of residence (West, Midwest (reference), South, Northeast) and Census tract education rate in 1989
c Additionally adjusted for parental diagnosis of eczema, asthma and hay fever (yes/no)
Results remained unchanged when using children’s self-reported outcomes rather than maternal-reported outcomes (S1 Table). The proportion of mothers reporting atopic disease when their offspring did not were variable for the different outcomes (AD = 0.52; asthma = 0.22; hay fever = 0.67). We used consistent maternal-reported and child’s self-reported outcomes to present a more stringent outcome and though results slightly differed, they remained non-significant (AD ORever nightshifts = 1.19; 95% CI = 0.90–1.57; asthma ORever nightshifts = 1.06; 95% CI = 0.87–1.29; hay fever ORever nightshifts = 1.24; 95% CI = 0.93–1.64) (Table 3). S2 Table shows the associations between shift work and maternal reports of their offspring being diagnosed with all three atopic diseases (ORever nightshifts = 0.95; 95% CI = 0.60–1.49). S3 Table shows outcomes if mothers reported their child being diagnosed with either AD, asthma or hay fever. Although any report of night shift work was not associated with atopy risk (ORever nightshifts = 1.13; 95% CI = 0.97–1.31), we observed a suggestive trend of increased risk of atopy in offspring associated with longer duration of maternal night shift work (OR≥6yrs night work = 1.27; 95% CI = 0.99–1.63; Ptrend = 0.07).
Table 3. Consistent mother and child outcomes: Adjusted odds ratios (OR) for offspring risk of atopic dermatitis during childhood and adolescence according to maternal rotating night shiftwork history before pregnancy, restricted to singleton, full-term births.
History of rotating night shift work | ||||||
---|---|---|---|---|---|---|
Never worked rotating night shifts | <3 yrs | 3–5 yrs | ≥6 yrs | P trend | Ever worked rotating night shifts | |
Mother’s report* and child’s self-reported atopic dermatitis** | ||||||
OR (95% CI) | ||||||
Cases/participants | 80/1,683 | 85/1,507 | 68/1,132 | 26/491 | 179/3,130 | |
Basic model a | 1 (reference) | 1.17 (0.85; 1.61) | 1.26 (0.90; 1.77) | 1.10 (0.70; 1.73) | 0.28 | 1.19 (0.91; 1.57) |
MV model 1b | 1 (reference) | 1.18 (0.86; 1.63) | 1.24 (0.89; 1.74) | 1.04 (0.66; 1.65) | 0.46 | 1.18 (0.90; 1.56) |
MV model 2c | 1 (reference) | 1.17 (0.85; 1.62) | 1.26 (0.90; 1.77) | 1.06 (0.67; 1.68) | 0.39 | 1.19 (0.90; 1.57) |
Mother’s report* and child’s self-reported asthma** | ||||||
OR (95% CI) | ||||||
Cases/participants | 197/1,683 | 190/1,507 | 131/1,132 | 69/491 | 390/3,130 | |
Basic model a | 1 (reference) | 1.09 (0.88; 1.35) | 0.99 (0.78; 1.25) | 1.23 (0.91; 1.65) | 0.52 | 1.07 (0.89; 1.29) |
MV model 1b | 1 (reference) | 1.08 (0.87; 1.35) | 0.97 (0.76; 1.23) | 1.18 (0.87; 1.61) | 0.73 | 1.06 (0.87; 1.28) |
MV model 2c | 1 (reference) | 1.07 (0.85; 1.34) | 0.98 (0.76; 1.25) | 1.23 (0.89; 1.70) | 0.57 | 1.06 (0.87; 1.29) |
Mother’s report* and child’s self-reported hay fever** | ||||||
OR (95% CI) | ||||||
Cases/participants | 83/1,683 | 99/1,507 | 60/1,132 | 26/491 | 185/3,130 | |
Basic model a | 1 (reference) | 1.36 (1.00;1.84) | 1.06 (0.75; 1.51) | 1.06 (0.68; 1.67) | 0.94 | 1.20 (0.92; 1.57) |
MV model 1b | 1 (reference) | 1.38 (1.02; 1.88) | 1.07 (0.75; 1.53) | 1.12 (0.70; 1.78) | 0.96 | 1.23 (0.93; 1.62) |
MV model 2c | 1 (reference) | 1.36 (0.99; 1.86) | 1.11 (0.77; 1.61) | 1.13 (0.71; 1.82) | 0.79 | 1.24 (0.93; 1.64) |
* Assessed in 2009 GUTS Mothers’ questionnaire; Defined as physician-diagnosed eczema (atopic dermatitis), asthma, hay fever
**Assessed in 2006, 2008, 2013 from GUTS questionnaires; defined as physician-diagnosed eczema (atopic dermatitis), asthma, hay fever
Abbreviations: CI, confidence interval; OR, odds ratio; MV, multivariable model
a Adjusted for offspring gender (boy/girl) and offspring age at GUTS baseline 2004
b Additionally adjusted for maternal age at pregnancy, smoking status before pregnancy (never, current, past), alternative healthy eating score (quintiles), physical activity (METs hours/week; quintiles), husband’s education (less than 2yr college, 4yr college, grad school), parity (nulliparity, 1, 2, 3+ previous pregnancies), BMI before pregnancy (<25, 25–29, ≥30 kg/m2), geographic region of residence (West, Midwest (reference), South, Northeast) and Census tract education rate in 1989
c Additionally adjusted for parental diagnosis of eczema, asthma and hay fever (yes/no)
We conducted stratified analyses by history of parental atopy (S4 Table) and maternal chronotype (S5 Table). While we observed some statistically significant findings, overall trends were inconsistent and no significant interaction was seen with increasing duration of night shift work (parental atopy Pinteraction = 0.06; maternal chronotype Pinteraction = 0.12).
Maternal rotating night shift work during pregnancy
Out of the 545 mother-child pairs included in this analysis, 20% of mothers ever worked night shifts during pregnancy. The association between maternal night shift work during pregnancy and risk of maternal-reported offspring AD was not significant (MV model 2, ORever nighshifts = 0.60; 95% CI = 0.30–1.20), neither did we observe any associations with risk of asthma (MV model 2, ORever nightshifts = 0.61; 95% CI = 0.28–1.29) or hay fever (MV model 2 ORever nightshifts = 0.80; 95% CI = 0.39–1.65) (see S6 Table).
Discussion
Overall, our study involving mothers from the NHSII cohort and their offspring in GUTS found no apparent association between maternal history of night shift work before pregnancy or during pregnancy and AD or other atopic diseases in their offspring. While a few associations were statistically significant in our stratified models, they were inconsistent and did not present any clear patterns of association.
Night shift work, a major source of chronic circadian disruption, has previously been linked to increased risk of chronic diseases [24,43–45] and has also been suggested as a biological, psychosocial and physiological health stressor [46,47] due to the substantial changes in circadian rhythm that night workers encounter. Circadian rhythm plays a role in the pathogenesis of allergic reactions and is important for regulating specific immune functions [48,49]. This suggests that the stress induced by changes in the circadian clock might have an impact on developing AD or other related diseases.
An animal study by Takita et al. investigated whether biological clock dysfunction affected the pathogenesis of contact hypersensitivity (CHS) in CLOCK mutant mice which elicits a similar response to human allergic contact dermatitis. They discovered that circadian dysfunction in CLOCK mutant mice impacted their allergic response exhibited by increased ear swelling after 24 hours, increased serum IgE concentration and increased number of mast cells when compared to wild-type mice [50]. This provides support for the hypothesis that disruptions in the circadian clock give way to the onset of allergic diseases.
Lin et al. found that—in humans—psychosocial stress in the mother is a potential risk factor for elevated cord blood IgE and hence in the newborn [36]. Immunoglobulin E is reportedly strongly associated with atopic multi-morbidities such as eczema, asthma and rhinitis, throughout childhood and adolescence within the individual [51], suggesting that not only lifestyle factors and behaviors during childhood influence the development of allergies, but that in utero exposures might also be important.
Maternal stress caused from different factors such as postnatal psychological problems [35], prenatal depression/anxiety [52,53] and employment/job strain [54,55] is shown to increase the risk of eczema and asthma in their offspring. A review by Chan et al. also examined studies addressing similar maternal stress factors and found postpartum and prenatal depression, anxiety and adverse life events to be associated with an increased risk of developing AD in their offspring '[56], but to our knowledge, there is no other study that has examined the relationship specifically between maternal night shift work exposure before and during pregnancy and AD.
Strengths of our study include longitudinal follow-up of detailed information of mothers and offspring as well as being able to consider multiple potential confounding variables. Our study has a few limitations that should be mentioned. Regarding night shift work during pregnancy, the timing of the supplemental pregnancy questionnaire reduced the time window (1993–1995) to obtain during-pregnancy exposure information. Consequently, we had limited power when assessing the relationship between during-pregnancy shift work exposure and atopic outcomes. Furthermore, our study relied solely on self-reported outcomes for atopic diseases, which could contribute to outcome misclassifications. Diagnoses for AD in GUTS have not been validated, however, self and caregiver-reported childhood AD has previously shown to be valid [57]. Unfortunately, we lack information regarding the age of diagnosis of AD, asthma, or hay fever. Since GUTS participants were aged 11 to 17 when they were first asked if they had ever been diagnosed with AD, this constitutes another possibility for outcome misclassification; however, in secondary analyses restricting to consistent self-report of the outcome by both the mother and the child, results remained largely unchanged. In previous studies, the most important factors associated with correctly remembering and reporting AD included long duration of AD in childhood, concomitant atopic disease, and eczema after the age of 15 [58,59]. Considering such a scenario in our study, we might have missed any associations between rotating night shift work of the mothers before and during pregnancy with less severe AD in their offspring, which appears unlikely if there is no association with presumably more severe/longer duration AD to begin with. Further, we only had limited information on paternal factors. Nevertheless, we could adjust for husband’s education as a proxy for socioeconomic status in all our multivariable models, which we considered the most important confounding variable possibly affecting both maternal shift work exposure and offspring weight outcomes. Lastly, since mothers in our analyses were slightly older than the nation’s average, these findings may not be generalizable to younger mothers.
In conclusion, we found no consistent associations between maternal night shift work and risk for atopic conditions in offspring. Future studies with more detailed exposure information and specific age at disease diagnosis would be helpful to examine this relationship in more detail.
Supporting information
Acknowledgments
We thank the thousands of participants in the Growing Up Today Study, as well as their mothers participating in the Nurses’ Health Study II.
Data Availability
Data cannot be shared publicly because the authors do not own the data. Data are available from the Channing Division of Network Medicine Institutional Data Access Committee upon filing out a collaboration request form. The form and more detailed information can be found under https://www.nurseshealthstudy.org/researchers. The authors did not have special access privileges that others could not request.
Funding Statement
This study was supported by Center for Disease Control and Prevention/The National Institute for Occupational Safety and Health grant 5R01OH009803 (PI: Schernhammer ES), as well as grant UM1 CA176726 from the National Institutes of Health.
References
- 1.Thomsen SF. Epidemiology and natural history of atopic diseases. Eur Clin Respir J. 2015. [cited 2020 Feb 10];2 Available from: http://www.ncbi.nlm.nih.gov/pubmed/26557262 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Pinart M, Benet M, Annesi-Maesano I, von Berg A, Berdel D, Carlsen KCL, et al. Comorbidity of eczema, rhinitis, and asthma in IgE-sensitised and non-IgE-sensitised children in MeDALL: a population-based cohort study. Lancet Respir Med. 2014;2(2):131–40. 10.1016/S2213-2600(13)70277-7 [DOI] [PubMed] [Google Scholar]
- 3.Spergel JM, Paller AS. Atopic dermatitis and the atopic march. J Allergy Clin Immunol. 2003;112(6):S118–27. [DOI] [PubMed] [Google Scholar]
- 4.Spergel JM. From atopic dermatitis to asthma: the atopic march. Ann Allergy, Asthma Immunol. 2010;105(2):99–106. [DOI] [PubMed] [Google Scholar]
- 5.Asher MI, Montefort S, Björkstén B, Lai CK, Strachan DP, Weiland SK, et al. Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys. Lancet. 2006;368(9537):733–43. 10.1016/S0140-6736(06)69283-0 [DOI] [PubMed] [Google Scholar]
- 6.Drucker AM, Wang AR, Li W-Q, Sevetson E, Block JK, Qureshi AA. The Burden of Atopic Dermatitis: Summary of a Report for the National Eczema Association. J Invest Dermatol. 2017;137(1):26–30. 10.1016/j.jid.2016.07.012 [DOI] [PubMed] [Google Scholar]
- 7.Karimkhani C, Dellavalle RP, Coffeng LE, Flohr C, Hay RJ, Langan SM, et al. Global Skin Disease Morbidity and Mortality. JAMA Dermatology. 2017;153(5):406 10.1001/jamadermatol.2016.5538 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Thomsen SF. Epidemiology and natural history of atopic diseases. 10.3402/ecrj.v2.24642 [DOI] [PMC free article] [PubMed]
- 9.Margolis JS, Abuabara K, Bilker W, Hoffstad O, Margolis DJ. Persistence of Mild to Moderate Atopic Dermatitis. JAMA Dermatology. 2014;150(6):593 10.1001/jamadermatol.2013.10271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Silverberg JI, Hanifin JM. Adult eczema prevalence and associations with asthma and other health and demographic factors: A US population–based study. J Allergy Clin Immunol. 2013;132(5):1132–8. 10.1016/j.jaci.2013.08.031 [DOI] [PubMed] [Google Scholar]
- 11.Ballardini N, Kull I, Lind T, Hallner E, Almqvist C, Östblom E, et al. Development and comorbidity of eczema, asthma and rhinitis to age 12—data from the BAMSE birth cohort. Allergy 2012;67(4):537–44. 10.1111/j.1398-9995.2012.02786.x [DOI] [PubMed] [Google Scholar]
- 12.Williams HC, editor. Genetic epidemiology of atopic dermatitis In: Atopic Dermatitis: The Epidemiology, Causes and Prevention of Atopic Eczema. Cambridge University Press; 2000. [Google Scholar]
- 13.Williams HC. Epidemiology of atopic dermatitis. Clin Exp Dermatol. 2000;25(7):522–9. 10.1046/j.1365-2230.2000.00698.x [DOI] [PubMed] [Google Scholar]
- 14.Wen H-J, Chen P-C, Chiang T-L, Lin S-J, Chuang Y-L, Guo Y-L. Predicting risk for early infantile atopic dermatitis by hereditary and environmental factors. Br J Dermatol. 2009;161(5):1166–72. 10.1111/j.1365-2133.2009.09412.x [DOI] [PubMed] [Google Scholar]
- 15.Wadonda-Kabondo N, Sterne JAC, Golding J, Kennedy CTC, Archer CB, Dunnill MGS, et al. Association of parental eczema, hayfever, and asthma with atopic dermatitis in infancy: birth cohort study. Arch Dis Child. 2004;89(10):917–21. 10.1136/adc.2003.034033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Küster W, Petersen M, Christophers E, Goos M, Sterry W. A family study of atopic dermatitis. Clinical and genetic characteristics of 188 patients and 2,151 family members. Arch Dermatol Res. 1990;282(2):98–102. 10.1007/bf00493466 [DOI] [PubMed] [Google Scholar]
- 17.Vaughn AR, Tannhauser P, Sivamani RK, Shi VY. Mother Nature in Eczema: Maternal Factors Influencing Atopic Dermatitis. Pediatr Dermatol. 2017;34(3):240–6. 10.1111/pde.13149 [DOI] [PubMed] [Google Scholar]
- 18.Dumas O, Varraso R, Gillman MW, Field AE, Camargo CA. Longitudinal study of maternal body mass index, gestational weight gain, and offspring asthma. Allergy. 2016;71(9):1295–304. 10.1111/all.12876 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Drucker AM, Pope EI, Field AE, Qureshi AA, Dumas O, Camargo CA. Association Between Maternal Pre-Pregnancy Body Mass Index, Gestational Weight Gain, and Offspring Atopic Dermatitis: A Prospective Cohort Study. J Allergy Clin Immunol Pract. 2019;7(1):96–102.e2. 10.1016/j.jaip.2018.10.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Barker DJ. The Wellcome Foundation Lecture, 1994. The fetal origins of adult disease. Proc R Soc London Ser B Biol Sci. 1995;262(1363):37–43. [DOI] [PubMed] [Google Scholar]
- 21.Nehme PA, Amaral F, Lowden A, Skene DJ, Cipolla-Neto J, Moreno CRC. Reduced melatonin synthesis in pregnant night workers: Metabolic implications for offspring. Med Hypotheses. 2019;132:109353 10.1016/j.mehy.2019.109353 [DOI] [PubMed] [Google Scholar]
- 22.Nehme PA, Amaral FG, Middleton B, Lowden A, Marqueze E, França-Junior I, et al. Melatonin profiles during the third trimester of pregnancy and health status in the offspring among day and night workers: A case series. Neurobiol Sleep Circadian Rhythm. 2019;6:70–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wang X-S, Armstrong MEG, Cairns BJ, Key TJ, Travis RC. Shift work and chronic disease: the epidemiological evidence. Occup Med (Lond). 2011;61(2):78–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Vetter C, Devore EE, Wegrzyn LR, Massa J, Speizer FE, Kawachi I, et al. Association Between Rotating Night Shift Work and Risk of Coronary Heart Disease Among Women. JAMA. 2016;315(16):1726 10.1001/jama.2016.4454 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wegrzyn LR, Tamimi RM, Rosner BA, Brown SB, Stevens RG, Eliassen AH, et al. Rotating Night-Shift Work and the Risk of Breast Cancer in the Nurses’ Health Studies. Am J Epidemiol. 2017;186(5):532–40. 10.1093/aje/kwx140 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Pan A, Schernhammer ES, Sun Q, Hu FB. Rotating Night Shift Work and Risk of Type 2 Diabetes: Two Prospective Cohort Studies in Women. Groop L, editor. PLoS Med. 2011;8(12):e1001141 10.1371/journal.pmed.1001141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Puttonen S, Viitasalo K, Härmä M. Effect of Shiftwork on Systemic Markers of Inflammation. Chronobiol Int. 2011;28(6):528–35. 10.3109/07420528.2011.580869 [DOI] [PubMed] [Google Scholar]
- 28.Morris CJ, Purvis TE, Mistretta J, Hu K, Scheer FAJL. Circadian Misalignment Increases C-Reactive Protein and Blood Pressure in Chronic Shift Workers. J Biol Rhythms. 2017;32(2):154–64. 10.1177/0748730417697537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bhatti P, Mirick DK, Randolph TW, Gong J, Buchanan DT, Zhang JJ, et al. Oxidative DNA damage during night shift work. Occup Environ Med. 2017;74(9):680–3. Available from: 10.1136/oemed-2017-104414 [DOI] [PubMed] [Google Scholar]
- 30.Zhu Y, Stevens RG, Hoffman AE, Tjonneland A, Vogel UB, Zheng T, et al. Epigenetic impact of long-term shiftwork: pilot evidence from circadian genes and whole-genome methylation analysis. Chronobiol Int. 2011;28(10):852–61. 10.3109/07420528.2011.618896 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gaine ME, Chatterjee S, Abel T. Sleep Deprivation and the Epigenome. Front Neural Circuits. 2018;12:14 10.3389/fncir.2018.00014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Strohmaier S, Devore EE, Vetter C, Missmer S, Heather Eliassen A, Rosner B, et al. Night Shift Work Before and During Pregnancy and Offspring Weight Outcomes Through Adolescence. Obesity. 2018;26(9):1491–500. 10.1002/oby.22267 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Strohmaier S, Devore EE, Vetter C, Eliassen AH, Rosner B, Okereke OI, et al. Night shift work before and during pregnancy in relation to depression and anxiety in adolescent and young adult offspring. Eur J Epidemiol. 2019;34(7):625–35. 10.1007/s10654-019-00525-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Matteo B, Palmer KT, Coggon D, Carugno M, Cromi A, Ferarrio MM. Shift work and pregnancy outcomes: a systematic review with meta-analysis of currently available epidemiological studies. 2BJOG an Int J Obstet Gynaecol. 2011;118(12):1429–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wang IJ, Wen HJ, Chiang TL, Lin SJ, Guo YL. Maternal psychologic problems increased the risk of childhood atopic dermatitis. Pediatr Allergy Immunol. 2016;27(2):169–76. 10.1111/pai.12518 [DOI] [PubMed] [Google Scholar]
- 36.Lin Y-C, Wen H-J, Lee Y-L, Guo YL. Are maternal psychosocial factors associated with cord immunoglobulin E in addition to family atopic history and mother immunoglobulin E? Clin Exp Allergy. 2004;34(4):548–54. 10.1111/j.1365-2222.2004.1928.x [DOI] [PubMed] [Google Scholar]
- 37.Tegethoff M, Greene N, Olsen J, Schaffner E, Meinlschmidt G. Stress during Pregnancy and Offspring Pediatric Disease: A National Cohort Study. Environ Health Perspect. 2011;119(11):1647–52. 10.1289/ehp.1003253 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Warner JA. Primary sensitization in infants. Ann Allergy, Asthma Immunol. 1999;83(5):426–30. [DOI] [PubMed] [Google Scholar]
- 39.Luyster FS, Strollo PJ, Zee PC, Walsh JK, Boards of Directors of the American Academy of Sleep Medicine and the Sleep Research Society. Sleep: A Health Imperative. Sleep. 2012;35(6):727–34. 10.5665/sleep.1846 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.McCullough ML, Feskanich D, Stampfer MJ, Giovannucci EL, Rimm EB, Hu FB, et al. Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr. 2002;76(6):1261–71. 10.1093/ajcn/76.6.1261 [DOI] [PubMed] [Google Scholar]
- 41.Horne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976. 4(2):97–110. [PubMed] [Google Scholar]
- 42.Megdal SP, Schernhammer ES. Correlates for poor sleepers in a Los Angeles high school. Sleep Med. 2007;9(1):60–3. 10.1016/j.sleep.2007.01.012 [DOI] [PubMed] [Google Scholar]
- 43.Vetter C, Devore EE, Ramin CA, Speizer FE, Willett WC, Schernhammer ES. Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes. Diabetes Care. 2015;38(9):1707–13. 10.2337/dc15-0302 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Papantoniou K, Castaño-Vinyals G, Espinosa A, Aragonés N, Pérez-Gómez B, Burgos J, et al. Night shift work, chronotype and prostate cancer risk in the MCC-Spain case-control study. Int J Cancer. 2015;137(5):1147–57. 10.1002/ijc.29400 [DOI] [PubMed] [Google Scholar]
- 45.Schernhammer ES, Laden F, Speizer FE, Willett WC, Hunter DJ, Kawachi I, et al. Rotating Night Shifts and Risk of Breast Cancer in Women Participating in the Nurses’ Health Study. JNCI J Natl Cancer Inst. 2001;93(20):1563–8. 10.1093/jnci/93.20.1563 [DOI] [PubMed] [Google Scholar]
- 46.Straif K, Baan R, Grosse Y, Secretan B, Ghissassi F El, Bouvard V, et al. Carcinogenicity of shift-work, painting, and fire-fighting. Lancet Oncol. 2007;8(12):1065–6. 10.1016/S1470-2045(07)70373-X [DOI] [PubMed] [Google Scholar]
- 47.Puttonen S, Härmä M, Hublin C. Shift work and cardiovascular disease—pathways from circadian stress to morbidity. Scandinavian Journal of Work, Environment & Health. Vol. 36, 96–108. [DOI] [PubMed] [Google Scholar]
- 48.Scheiermann C, Kunisaki Y, Frenette PS. Circadian control of the immune system. Nat Rev Immunol. 2013;13(3):190–8. 10.1038/nri3386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Paganelli R, Petrarca C, Di Gioacchino M. Biological clocks: their relevance to immune-allergic diseases. Clin Mol Allergy. 2018;16(1):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Takita E, Yokota S, Tahara Y, Hirao A, Aoki N, Nakamura Y, et al. Biological clock dysfunction exacerbates contact hypersensitivity in mice. Br J Dermatol. 2013;168(1):39–46. 10.1111/j.1365-2133.2012.11176.x [DOI] [PubMed] [Google Scholar]
- 51.Ballardini N, Bergström A, Wahlgren C-F, van Hage M, Hallner E, Kull I, et al. IgE antibodies in relation to prevalence and multimorbidity of eczema, asthma, and rhinitis from birth to adolescence. Allergy. 2016;71(3):342–9. 10.1111/all.12798 [DOI] [PubMed] [Google Scholar]
- 52.Chang HY, Suh DI, Yang S-I, Kang M-J, Lee S-Y, Lee E, et al. Prenatal maternal distress affects atopic dermatitis in offspring mediated by oxidative stress. J Allergy Clin Immunol. 2016;138(2):468–475.e5. 10.1016/j.jaci.2016.01.020 [DOI] [PubMed] [Google Scholar]
- 53.Cookson H, Granell R, Joinson C, Ben-Shlomo Y, Henderson AJ. Mothers’ anxiety during pregnancy is associated with asthma in their children. J Allergy Clin Immunol. 2009;123(4):847–53.e11. 10.1016/j.jaci.2009.01.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Wang IJ, Wen HJ, Chiang TL, Lin SJ, Chen PC, Guo YL. Maternal employment and atopic dermatitis in children: a prospective cohort study. Br J Dermatol. 2013;168(4):794–801. 10.1111/bjd.12195 [DOI] [PubMed] [Google Scholar]
- 55.Larsen AD. The effect of maternal exposure to psychosocial job strain on pregnancy outcomes and child development. Dan Med J. 2015;62(2). [PubMed] [Google Scholar]
- 56.Chan C, Law B, Liu Y-H, Ambrocio A, Au N, Jiang M, et al. The Association between Maternal Stress and Childhood Eczema: A Systematic Review. Int J Environ Res Public Health. 2018;15(3):395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Silverberg JI, Patel N, Immaneni S, Rusniak B, Silverberg NB, Debashis R, et al. Assessment of atopic dermatitis using self-report and caregiver report: a multicentre validation study. Br J Dermatol. 2015;173(6):1400–4. 10.1111/bjd.14031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Moberg C, Meding B, Stenberg B, Svensson A, Lindberg M. Remembering childhood atopic dermatitis as an adult: factors that influence recollection. Br J Dermatol. 2006;155(3):557–60. 10.1111/j.1365-2133.2006.07372.x [DOI] [PubMed] [Google Scholar]
- 59.Mortz C, Andersen K, Bindslev-Jensen C. Recall Bias in Childhood Atopic Diseases Among Adults in The Odense Adolescence Cohort Study. Acta Derm Venereol. 2015;95(8):968–72. 10.2340/00015555-2128 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data cannot be shared publicly because the authors do not own the data. Data are available from the Channing Division of Network Medicine Institutional Data Access Committee upon filing out a collaboration request form. The form and more detailed information can be found under https://www.nurseshealthstudy.org/researchers. The authors did not have special access privileges that others could not request.