Skip to main content
. 2024 Oct 1;132(10):107701. doi: 10.1289/EHP14729

Table 2.

HRs (95% CIs) for the association between time-varying exposure to air pollutants (per 5-unit increase) and incident ovarian cancer in the Sister Study (n=40,308, enrolled 2003–2009).

Overall models, subgroups Casesa Person-years NO2 (ppb)b PM2.5 (μg/m3)b O3 (ppb)b
HR (95% CI) HR (95% CI) HR (95% CI)
Overall
 Model 1c 249 395,950 1.21 (1.04, 1.41) 1.31 (0.90, 1.91) 0.92 (0.77, 1.09)
 Model 2d 249 395,950 1.21 (0.99, 1.47) 1.02 (0.65, 1.60) 1.00 (0.82, 1.22)
 Model 3e 247 391,673 1.17 (0.95, 1.43) 1.00 (0.64, 1.58) 1.00 (0.82, 1.22)
Confirmed casesc,f 205 395,950 1.14 (0.96, 1.35) 0.99 (0.60, 1.63)g 0.89 (0.73, 1.07)
Menopausal statusc,h
 Premenopausal 43 101,436 1.14 (0.80, 1.62) 2.85 (0.98, 8.29)g 1.36 (0.88, 2.10)
 Postmenopausal 206 294,515 1.20 (1.02, 1.42) 0.81 (0.49, 1.33)g 0.85 (0.70, 1.03)
pheterogeneity 0.95 0.16 0.09
US Census regionc,h
 Northeast 40 70,279 1.17 (0.88, 1.55) 0.56 (0.13, 2.34)g 0.79 (0.44, 1.44)
 Midwest 71 107,060 1.61 (1.12, 2.32) 1.40 (0.40, 4.89)g 0.68 (0.42, 1.10)
 South 78 131,080 1.20 (0.77, 1.87) 0.59 (0.23, 1.52)g 1.05 (0.64, 1.71)
 West 60 87,531 1.10 (0.84, 1.44) 1.63 (0.75, 3.52)g 0.98 (0.78, 1.24)
pheterogeneity 0.68 0.15 0.45
Urbanicityc,h
 Urban 39 74,811 1.44 (1.02, 2.02) 1.29 (0.47, 3.58)g 0.69 (0.42, 1.12)
 Suburban 98 160,993 1.25 (0.93, 1.69) 1.15 (0.52, 2.54)g 0.93 (0.66, 1.30)
 Rural/small town/other 112 160,146 1.42 (1.05, 1.91) 0.95 (0.48, 1.87)g 0.95 (0.73, 1.23)
pheterogeneity 0.57 0.57 0.78

Note: CI, confidence interval; HR, hazard ratio; NO2, nitrogen dioxide; nSES, neighborhood socioeconomic status score; O3, ozone; PM2.5, particulate matter <2.5μm in diameter.

a

Participants were considered at risk from enrollment to ovarian cancer diagnosis with censoring at the earliest of bilateral oophorectomy, loss to follow-up, death, or the administrative end of follow-up (June 2017).

b

Spearman’s rank correlation coefficients: NO2 and PM2.5=0.35, NO2 and O3=0.61, and PM2.5 and O3=0.20.

c

Cox proportional hazards model adjusted for calendar month (time scale), age (strata), race/ethnicity [Black, Hispanic/Latina, non-Hispanic White, other (including American Indian/Alaskan Native, Asian, Native Hawaiian or other Pacific Islander)], education (high school or less, some college, college degree or higher), baseline nSES (an index developed using 16 tract-level measures of educational attainment, occupation, income, wealth, poverty, employment status, and housing characteristics from the US Census and American Community Survey, with higher index indicating lower nSES and vice versa), and time-varying US Census region (Northeast, Midwest, South, West).

d

In addition to covariates included in model 1, model 2 was mutually adjusted for time-varying copollutants (e.g., models for NO2 were adjusted for PM2.5 and O3).

e

In addition to covariates included in models 1 and 2, model 3 was adjusted for ovarian risk factors, including smoking (never, former, current), alcohol consumption (none, <1, 1 to<7, 7 drinks per week), physical activity (<5, 5 to<10, 10 to<20, 20 metabolic equivalent hours per week), body mass index (<25, 25 to<30, 30kg/m2), age at first birth (nulliparous, <20, 20 to<25, 25y), parity (nulliparous, 1–2, 3 births), breastfeeding (nulliparous, <1, 1 to<7, 7 months), oral contraceptive use (never, ever), age at menopause (premenopausal, <50, 50 to<55, 55y), age at menarche (<12, 12–13, 14y), postmenopausal hormone therapy use (never, former, current), and mother or sister with a ovarian cancer diagnosis (yes, no).

f

Restricted to cases confirmed by medical records; the confirmed cases include 108 serous, 14 endometrioid, 9 mucinous, and 9 clear cell carcinoma, as well as 29 other subtypes.

g

For PM2.5 analyses, models were additionally adjusted for time-varying NO2 and O3 levels, due to estimate changes observed after adjusting for these copollutants.

h

Stratum-specific HRs were estimated by augmenting the primary model with multiplicative interaction terms and tested for heterogeneity using likelihood ratio tests.