Air Pollution Exposures During Adulthood and Risk of Endometriosis in the Nurses’ Health Study II

Mahalingaiah, Shruthi; Hart, Jaime E.; Laden, Francine; Aschengrau, Ann; Missmer, Stacey A.

doi:10.1289/ehp.1306627

Cited by 15 publications

(11 citation statements)

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“…While the effect sizes found in this study are small and strictly suggestive, they are consistent with the literature regarding air pollution and reproductive tract diseases in this cohort (Mahalingaiah et al, 2014a(Mahalingaiah et al, , b, 2016. Menstrual irregularity alone has been previously used as a proxy for PCOS in analyses within the NHSII, and this definition has provided insights into the long-term health outcomes associated with menstrual irregularity, including cardiovascular disease and diabetes (Solomon et al, 2001(Solomon et al, , 2002.…”

Section: Discussionsupporting

confidence: 92%

Perimenarchal air pollution exposure and menstrual disorders

et al. 2018

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Shruthi Mahalingaiah: Reproductive Scientist Development Program HD000849, and a research grant from the Boston University Department of Obstetrics and Gynecology, Stacey Missmer: R01HD57210 from the National Institute of Child Health and Human Development and the Massachusetts Institute of Technology Center for Environmental Health Sciences Translational Pilot Project Program, R01CA50385 from the National Cancer Institute, Jaime Hart and Francine Laden: 5R01ES017017 from the National Institute for Environmental Health Sciences, Jaime Hart: P30 ES00002 from the National Institute for Environmental Health Sciences at the National Institute of Health, The Nurses' Health Study II is supported by infrastructure grant UM1CA176726 from the National Cancer Institute, NIH, U.S. Department of Health and Human Services The authors have no conflicts of interest to declare.

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Section: Discussionsupporting

confidence: 92%

Perimenarchal air pollution exposure and menstrual disorders

et al. 2018

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“…Since model predictions can be made at a subject’s residence or other relevant point location, rather than interpolated from a pre-defined grid, our models offer high spatial resolution which may reduce exposure error when estimating chronic exposures in epidemiologic studies, as has been shown in previous analyses [ 11 , 25 , 26 ]. The models have been used to provide PM 2.5 , PM 10 , and PM 2.5–10 monthly exposure estimates at subject residences in recent epidemiologic analyses [ 47 , 48 ].…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

et al. 2014

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BackgroundExposure to atmospheric particulate matter (PM) remains an important public health concern, although it remains difficult to quantify accurately across large geographic areas with sufficiently high spatial resolution. Recent epidemiologic analyses have demonstrated the importance of spatially- and temporally-resolved exposure estimates, which show larger PM-mediated health effects as compared to nearest monitor or county-specific ambient concentrations.MethodsWe developed generalized additive mixed models that describe regional and small-scale spatial and temporal gradients (and corresponding uncertainties) in monthly mass concentrations of fine (PM2.5), inhalable (PM10), and coarse mode particle mass (PM2.5–10) for the conterminous United States (U.S.). These models expand our previously developed models for the Northeastern and Midwestern U.S. by virtue of their larger spatial domain, their inclusion of an additional 5 years of PM data to develop predictions through 2007, and their use of refined geographic covariates for population density and point-source PM emissions. Covariate selection and model validation were performed using 10-fold cross-validation (CV).ResultsThe PM2.5 models had high predictive accuracy (CV R2=0.77 for both 1988–1998 and 1999–2007). While model performance remained strong, the predictive ability of models for PM10 (CV R2=0.58 for both 1988–1998 and 1999–2007) and PM2.5–10 (CV R2=0.46 and 0.52 for 1988–1998 and 1999–2007, respectively) was somewhat lower. Regional variation was found in the effects of geographic and meteorological covariates. Models generally performed well in both urban and rural areas and across seasons, though predictive performance varied somewhat by region (CV R2=0.81, 0.81, 0.83, 0.72, 0.69, 0.50, and 0.60 for the Northeast, Midwest, Southeast, Southcentral, Southwest, Northwest, and Central Plains regions, respectively, for PM2.5 from 1999–2007).ConclusionsOur models provide estimates of monthly-average outdoor concentrations of PM2.5, PM10, and PM2.5–10 with high spatial resolution and low bias. Thus, these models are suitable for estimating chronic exposures of populations living in the conterminous U.S. from 1988 to 2007.

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“…Although cases have not been validated by medical records, the validity of these registered nurses' reports for many other health outcomes is generally high (.90%) (19)(20)(21)(22)(23) and provides reassurance about the accuracy of these reports. Moreover, in the Black Women's Health Study, investigators observed a very high agreement (96%) between self-report of sarcoidosis diagnosis and physician's report (4); an even higher BRIEF COMMUNICATION agreement might be expected in NHSII, which is a study of registered nurses.…”

Section: Discussionmentioning

confidence: 99%

“…U.S. region at baseline, with updating every 2 years thereafter, was categorized into four groups (West, Midwest, South, Northeast). Although the NHSII participants initially resided in 14 states, as of the mid-1990s they resided in all 50 states and the District of Columbia (21).…”

Section: Methodsmentioning

confidence: 99%

Epidemiology of Sarcoidosis in a Prospective Cohort Study of U.S. Women

et al. 2016

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Rationale: Sarcoidosis is a systemic granulomatous and inflammatory disorder that most often involves the lungs but also affects many other organs. Data on sarcoidosis from large epidemiological studies remain scarce.Objectives: To evaluate the baseline prevalence and 22-year incidence of sarcoidosis and their associations with demographic and geographic characteristics in a large cohort of U.S. women. Methods:The Nurses' Health Study II is a prospective cohort study of U.S. female nurses enrolled in 1989 (aged 25-44 yr, n = 116,430). Data on major illnesses were collected through biennial questionnaires . Cases were identified by the nurses' self-report of physician-diagnosed sarcoidosis. Associations of demographic and geographic characteristics with sarcoidosis were evaluated by logistic regression and Cox models. Measurements and Main Results:A total of 377 sarcoidosis cases were identified. The baseline prevalence was 100/100,000 women. The average annual incidence rate was 11/100,000 during 2,275,028 person-years of follow up. Incidence rate increased with age (P = 0.003), from 9 to 15/100,000 in women aged less than 35 to 55 or more years, respectively. Black women had a higher prevalence (odds ratio, 5.24; 95% confidence interval, 2.87-9.55) and incidence (hazard ratio, 3.80; 95% confidence interval, 2.31-6.24) than white women. Across U.S. regions, more than twofold differences were observed in sarcoidosis prevalence and incidence, with consistently higher rates in the Northeast. Conclusions:We provide recent national data on the epidemiology of sarcoidosis among U.S. women. Important differences in prevalence and incidence were observed across U.S. regions. Large epidemiological studies are needed to better understand the causes of the observed demographic and geographic differences in sarcoidosis.

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Air Pollution Exposures During Adulthood and Risk of Endometriosis in the Nurses’ Health Study II

Cited by 15 publications

References 53 publications

Perimenarchal air pollution exposure and menstrual disorders

Perimenarchal air pollution exposure and menstrual disorders

Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

Epidemiology of Sarcoidosis in a Prospective Cohort Study of U.S. Women

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