Background:

Genital powder use is more common among African-American women; however, studies of genital powder use and ovarian cancer risk have been conducted predominantly in White populations, and histotype-specific analyses among African-American populations are limited.

Methods:

We used data from five studies in the Ovarian Cancer in Women of African Ancestry consortium. Participants included 620 African-American cases, 1,146 African-American controls, 2,800 White cases, and 6,735 White controls who answered questions on genital powder use prior to 2014. The association between genital powder use and ovarian cancer risk by race was estimated using logistic regression.

Results:

The prevalence of ever genital powder use for cases was 35.8% among African-American women and 29.5% among White women. Ever use of genital powder was associated with higher odds of ovarian cancer among African-American women [OR = 1.22; 95% confidence interval (CI) = 0.97–1.53] and White women (OR = 1.36; 95% CI = 1.19–1.57). In African-American women, the positive association with risk was more pronounced among high-grade serous tumors (OR = 1.31; 95% CI = 1.01–1.71) than with all other histotypes (OR = 1.05; 95% CI = 0.75–1.47). In White women, a significant association was observed irrespective of histotype (OR = 1.33; 95% CI = 1.12–1.56 and OR = 1.38; 95% CI = 1.15–1.66, respectively).

Conclusions:

While genital powder use was more prevalent among African-American women, the associations between genital powder use and ovarian cancer risk were similar across race and did not materially vary by histotype.

Impact:

This is one of the largest studies to date to compare the associations between genital powder use and ovarian cancer risk, overall and by histotype, between African-American and White women.

The use of body powder in the genital area is a relatively common feminine hygienic practice (1). Women usually report genital powder use in the form of baby or feminine powder for cleanliness, freshness, and dryness of the genital region (1, 2). Talc is a common ingredient in many genital powders (3) and has been suggested to play a role in ovarian cancer development (4–6), although uncertainty about this association still exists (7). Beginning in 2014, several lawsuits were filed against companies with talc products on behalf of women with ovarian cancer (8). Use of genital powder use is more common among African-American (AA) women than White women (9), but previous studies of genital powder use and ovarian cancer risk have been primarily been conducted in White populations.

The study with the largest number of AA ovarian cancer cases to examine the association with genital powder use was a pooled analysis which combined the African American Cancer Epidemiology Study (AACES) with seven case–control studies from the Ovarian Cancer Association Consortium (OCAC) with information on genital powder use (10). However, this study examined heterogeneity across all racial groups (i.e., was not focused on comparing AA and White women) and did not examine associations by frequency or duration of genital powder use. Furthermore, five of the eight studies had 24 AA cases or fewer, limiting the ability to assess study heterogeneity specific to AA study participants. The largest study focused on AA women to date, AACES, reported a significant association between genital powder use and ovarian cancer risk but was limited in power to examine associations by histotype and by frequency and duration of use (11). However, AACES primary analyses included cases diagnosed after 2013 increasing the potential for recall bias in relation to genital powder use.

Thus, the objective of the current study was to evaluate the association between genital powder use and epithelial ovarian cancer risk among AA and White women in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium overall, by histotype, and examining frequency and duration. These analyses improves on prior studies due to OCWAAs inclusion of studies with at least 40 AA cases which provides the ability to assess heterogeneity across studies (12) while its exclusion of cases diagnosed after 2013 lessens the potential impact of recall bias (8).

Study population

The OCWAA consortium was established with the objective to understand racial differences as they relate to risk factors and outcomes in epithelial ovarian cancer (12). The OCWAA consortium has been described previously (12). In this analysis, we included the five of the eight OCWAA studies that collected data on body powder use. This included four population-based case–control studies [the North Carolina Ovarian Cancer Study (NCOCS), Los Angeles County Ovarian Cancer Study (LACOCS), Cook County Case Study (CCCS), and AACES], and a nested case–control study within the Women's Health Initiative (WHI) observational study. Controls within four case–control studies were matched by age and race, with additional matching for ZIP code and geographic residential region for LACOCS and AACES. Six controls were matched for each case in WHI's nested case–control study based on the following: race, age of diagnosis, and last questionnaire completed before ovarian cancer diagnosis. All OCWAA studies classified race based on self-report. Participants in OCWAA are of non-Hispanic and Hispanic ethnicity. 0.6% of AA participants and 1.5% of White participants are Hispanic (12).

Eligibility for this analyses was restricted to interview year prior to 2014 for case–control studies to reduce recall bias following the class action lawsuits that were filed in 2014 (11).

Tumor characteristics

Data on cancer diagnoses were abstracted from medical records and cancer registry reports. Only epithelial ovarian cancer cases defined using International Classification of Diseases for Oncology, Version 3, were eligible for inclusion. Tumor histotype was determined by combining morphology and grade information that represented the diagnostic guidelines for ovarian carcinomas in 2014 from the World Health Organization Classification of Tumors of Female Reproductive Organs (13).

Exposure assessment

Each study collected data from participants on genital powder use via standardized questionnaires that were either interviewer administered or self-administered. Harmonized variables of interest were created by comparing questionnaires between the participating studies. Genital powder was defined as any type of powder (baby, talc, deodorizing, cornstarch, or unspecified/unknown) applied directly to the genital, perineal, or rectal area or applied indirectly by sanitary pads, tampons, or underwear. Ever use and duration of genital powder use was assessed in all studies while frequency of use was assessed in four studies (Table 1). The wording of questions assessing lifetime (or adult) genital powder use varied across studies and is detailed in Table 1. Frequency of genital powder use was categorized as no use, ≤once per week, and >once per week. Duration of genital powder use was categorized as no use, <20 years, and ≥20 years.

Table 1.

Characteristics of the studies included in genital body powder use and epithelial ovarian cancer analyses.

Ever use of genital powderFrequent genital powder use (>once per week)Long-term genital powder use (>20 years)
Exposed cases and controls, (% exposed)Exposed cases and controls, (% exposed)Exposed cases and controls, (% exposed)
StudyDiagnosis yearsAAWhiteExposure assessmentAAWhiteExposure assessmentAAWhiteExposure assessment
AACES 2010–2015 119 (37.8%) cases, 202 (33.9%) controls  Have you ever used cornstarch, talc, baby or deodorizing powders in any of the following ways: On your genital or rectal areas, including on your underwear or sanitary napkins, or on birth control devices like diaphragms or cervical caps. 107 (34.0%) cases, 183 (30.7%) controls  How many times per month did you use it? __ __ 50 (16.3%) cases, 94 (16.2%) controls  How many years total did you use it? __ __ 
    Yes, No, NA       
CCCS 1994–1998 14 (31.8%) cases, 15 (18.8%) controls 53 (22.7%) cases, 75 (17.8%) controls Have you ever applied powders to your genital area after bathing or at other times? (Genital area includes inner thighs.) 10 (22.7%) cases, 11 (13.8%) controls 39 (16.7%) cases, 54 (12.8%) controls How many times per day or per week did you use it at age (AGE)?__ per day__ per week__per month__per year 4 (9.5%) cases, 6 (8.1%) controls 15 (6.9%) cases, 7 (1.8%) controls Age started using powders, age stopped using powders 
    Yes, No, Don't know       
LACOCS 1998–2002 37 (29.1%) cases, 38 (26.2%) controls 296 (25.1%) cases, 298 (16.5%) controls Did you ever use talc, baby, or deodorizing powder as a dusting powder to the genital or rectal area? Yes, No 30 (23.6%) cases, 33 (22.8%) controls 248 (21.0%) cases, 251 (13.9%) controls As a dusting powder to the genital or rectal area? 20 (16.0%) cases, 16 (11.2%) controls 145 (12.4%) cases, 123 (6.9%) controls As a dusting powder to the genital or rectal area? 
       Times per month __ _   Years used __ __ 
NCOCS 1999–2003 40 (30.8%) cases, 57 (29.8%) controls 220 (27.1%) cases, 200 (23.3%) controls Please tell me if you used cornstarch, talc, baby or deodorizing powder in any of the following ways: directly to your genital or rectal areas. 35 (30.4%) cases, 45 (23.6%) controls 181 (22.3%) cases, 170 (19.8%) controls How often on average did you use it? 20 (18.2%) cases, 21 (11.5%) controls 83 (10.6%) cases, 88 (10.6%) controls For how long in total did you use this product regularly? 
    Yes, No, Don't know   __days/week   __ __years 
WHI 1994–2018 12 (63.2%) cases, 78 (58.2%) controls 256 (44.5%) cases, 1515 (41.5%) controls Have you ever used body powder on your private parts (genital areas)? NA NA Frequency of use was not assessed in WHI 5 (26.3%) cases, 27 (20.2%) controls 90 (15.7%) cases, 542 (14.9%) controls For how many years? _____ 
    Yes, No      [use on genital areas, use on sanitary napkin/pad, and use on diaphragm asked separately] 
Ever use of genital powderFrequent genital powder use (>once per week)Long-term genital powder use (>20 years)
Exposed cases and controls, (% exposed)Exposed cases and controls, (% exposed)Exposed cases and controls, (% exposed)
StudyDiagnosis yearsAAWhiteExposure assessmentAAWhiteExposure assessmentAAWhiteExposure assessment
AACES 2010–2015 119 (37.8%) cases, 202 (33.9%) controls  Have you ever used cornstarch, talc, baby or deodorizing powders in any of the following ways: On your genital or rectal areas, including on your underwear or sanitary napkins, or on birth control devices like diaphragms or cervical caps. 107 (34.0%) cases, 183 (30.7%) controls  How many times per month did you use it? __ __ 50 (16.3%) cases, 94 (16.2%) controls  How many years total did you use it? __ __ 
    Yes, No, NA       
CCCS 1994–1998 14 (31.8%) cases, 15 (18.8%) controls 53 (22.7%) cases, 75 (17.8%) controls Have you ever applied powders to your genital area after bathing or at other times? (Genital area includes inner thighs.) 10 (22.7%) cases, 11 (13.8%) controls 39 (16.7%) cases, 54 (12.8%) controls How many times per day or per week did you use it at age (AGE)?__ per day__ per week__per month__per year 4 (9.5%) cases, 6 (8.1%) controls 15 (6.9%) cases, 7 (1.8%) controls Age started using powders, age stopped using powders 
    Yes, No, Don't know       
LACOCS 1998–2002 37 (29.1%) cases, 38 (26.2%) controls 296 (25.1%) cases, 298 (16.5%) controls Did you ever use talc, baby, or deodorizing powder as a dusting powder to the genital or rectal area? Yes, No 30 (23.6%) cases, 33 (22.8%) controls 248 (21.0%) cases, 251 (13.9%) controls As a dusting powder to the genital or rectal area? 20 (16.0%) cases, 16 (11.2%) controls 145 (12.4%) cases, 123 (6.9%) controls As a dusting powder to the genital or rectal area? 
       Times per month __ _   Years used __ __ 
NCOCS 1999–2003 40 (30.8%) cases, 57 (29.8%) controls 220 (27.1%) cases, 200 (23.3%) controls Please tell me if you used cornstarch, talc, baby or deodorizing powder in any of the following ways: directly to your genital or rectal areas. 35 (30.4%) cases, 45 (23.6%) controls 181 (22.3%) cases, 170 (19.8%) controls How often on average did you use it? 20 (18.2%) cases, 21 (11.5%) controls 83 (10.6%) cases, 88 (10.6%) controls For how long in total did you use this product regularly? 
    Yes, No, Don't know   __days/week   __ __years 
WHI 1994–2018 12 (63.2%) cases, 78 (58.2%) controls 256 (44.5%) cases, 1515 (41.5%) controls Have you ever used body powder on your private parts (genital areas)? NA NA Frequency of use was not assessed in WHI 5 (26.3%) cases, 27 (20.2%) controls 90 (15.7%) cases, 542 (14.9%) controls For how many years? _____ 
    Yes, No      [use on genital areas, use on sanitary napkin/pad, and use on diaphragm asked separately] 

Covariates

Demographic, reproductive history, lifestyle, and medical history data were collected from all participating studies. We considered the following known or putative risk factors for inclusion in the regression models: age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of oral contraceptive use in months (continuous), family history of breast cancer (yes, no), family history of ovarian cancer (yes, no), tubal ligation (yes, no), number of full-term pregnancies (≥ 6 months, continuous), menopausal status (premenopausal, postmenopausal) hysterectomy (yes, no), interview year (continuous), body mass index (BMI in kg/m2; <25.0, 25.0–29.9, 30.0–34.9, ≥35.0), smoking status (ever smoker, never smoker), and study site (AACES, CCCS, NCOCS, LACOCS, WHI). Patency of the reproductive track was defined as not having had a hysterectomy and no tubal ligation (yes, no).

Statistical analysis

Race and study-specific ORs and 95% confidence intervals (CI) were combined using a multi-level random-effects meta-analysis (14–16). Study heterogeneity was assessed by testing the variance of a site × powder interaction random effects term using 95% profile likelihood CIs and tests of variance components. As no significant heterogeneity by study was detected, random effects were removed from the model and data from the individual studies were pooled. The association between each genital powder variable (ever use, frequency, and duration) and ovarian cancer risk was estimated using logistic regression models. To investigate potential histotype-specific associations, analyses were stratified by high-grade serous carcinoma versus all other histotypes. Tests for linear trend across categories of frequency and duration were performed by assigning the median value to all participants in that group and including as a continuous variable in the regression models. Heterogeneity in the association between genital powder use and ovarian cancer by race and patency was assessed with a likelihood ratio test comparing models with both the main effects and the interaction term to a model with the main effects only.

The population attributable risk (PAR) for ever use of genital powder overall and by race was estimated using the Bruzzi method (17). Details of the analytic methods used for PAR calculation in OCWAA have been described in detail previously (18). Study site interactions with age were included in the PAR% analysis for AA women and study site interactions with BMI, nulliparity, education, and oral contraceptive use were included for White women. In this analyses, the PAR describes the proportion of cases in the population that would not have occurred if the exposure (i.e., genital powder use) was not present, but it does not provide an estimate of the probability of causation. Statistical analyses were performed using SAS 9.4 (SAS Institute) and R (version 3.6.0, The R Foundation of Statistical Computing).

Data availability statement

The consortium data are not publicly available due to privacy or ethical restrictions; however, the research team can perform statistical analyses for non-OCWAA investigators of approved research projects with financial support for the analytic activities performed by the research team.

This analysis included 3,420 cases and 7,881 controls (620 AA cases, 1,146 AA controls, 2,800 White cases, and 6,735 White controls). AA women were more likely to have had a hysterectomy or tubal ligation and to have ever used oral contraceptives compared with White women while White women were more likely to be nulliparous (Table 2). Across most study sites, AA cases and controls had higher prevalence of ever use, frequent use, and long-term use of genital powder than White cases and controls (Table 1). Relative to other studies, WHI participants, were most likely to report ever use of genital powder (cases = 44.5% White, 63.2% AA; controls = 41.5% White, 58.2% AA) and to report more than 20 years of powder use (cases = 15.7% White, 26.3% AA; controls = 14.9% Whites, 20.2% AA). AACES participants reported the highest frequency of powder use with 34.0% of cases and 30.7% of controls reporting powder use more than once per week. Among all cases, a higher percentage of AA cases ever used genital powder in comparison with White cases (35.8% vs. 29.5%); a similar pattern observed among controls (34.0% of AA controls vs. 31.0% of White controls, respectively; Table 3).

Table 2.

Characteristics of OCWAA study participants by race and case status.

African AmericanWhite
Characteristics, mean (SD) or N (%)aControls (N = 1,146)Cases (N = 620)Controls (N = 6,735)Cases (N = 2,800)
Age, years 55.4 (12.9) 57.1 (10.9) 64.7 (12.8) 61.2 (11.8) 
Education 
 High school graduate/GED or less 422 (36.9) 264 (42.6) 1,182 (17.6) 590 (21.1) 
 Some college 310 (27.1) 162 (26.1) 1,922 (28.6) 752 (26.9) 
 College graduate 244 (21.3) 124 (20.0) 1,328 (19.8) 670 (24.0) 
 Graduate school 168 (14.7) 70 (11.3) 2,285 (34.0) 785 (28.1) 
Body mass index (kg/m2
 <25.0 264 (23.0) 118 (19.0) 3,265 (48.5) 1,458 (52.1) 
 25.0–29.9 341 (30.0) 173 (27.9) 2,039 (30.3) 744 (26.6) 
 30.0–34.9 254 (22.2) 157 (25.3) 892 (13.2) 371 (13.3) 
 ≥35.0 287 (25.0) 172 (27.7) 539 (8.0) 227 (8.1) 
Tubal ligation 
 No 714 (62.4) 421 (68.1) 5,477 (81.5) 2,371 (84.7) 
 Yes 430 (37.6) 197 (31.9) 1,241 (18.5) 427 (15.3) 
Duration of oral contraceptive use (months) 49.7 (68.5) 40.5 (62.7) 39.0 (62.4) 33.1 (54.9) 
Oral contraceptive use 
 Never 340 (29.7) 226 (36.5) 3,361 (49.9) 1,297 (46.4) 
 Ever 805 (70.3) 394 (63.6) 3,372 (50.1) 1,501 (53.3) 
Hysterectomy 
 No 907 (79.8) 465 (75.6) 5,708 (85.9) 2,255 (81.1) 
 Yes 230 (20.2) 150 (24.4) 937 (14.1) 527 (18.9) 
Full-term pregnancies 2.4 (1.8) 2.4 (1.9) 2.3 (1.7) 1.9 (1.6) 
Nulliparity 
 No 961 (84.0) 506 (81.6) 5,395 (80.3) 2,098 (75.0) 
 Yes 183 (16.0) 114 (18.4) 1,323 (19.7) 701 (25.0) 
Patency 
 No 572 (49.9) 311 (50.2) 2,112 (31.4) 903 (32.2) 
 Yes 574 (50.1) 309 (49.8) 4,623 (68.6) 1,897 (67.8) 
Menopausal status 
 Premenopausal 392 (34.2) 170 (27.4) 1,133 (16.8) 560 (20.0) 
 Postmenopausal 753 (65.8) 450 (72.6) 5,595 (83.2) 2,239 (80.0) 
Family history of breast cancer 
 No 1,001 (87.4) 490 (79.0) 5,786 (85.9) 2,326 (83.1) 
 Yes 145 (12.6) 130 (21.0) 949 (14.1) 474 (16.9) 
Family history of ovarian cancer 
 No 1,115 (97.3) 581 (93.7) 6,592 (97.9) 2,674 (95.5) 
 Yes 31 (2.7) 39 (6.3) 143 (2.1) 126 (4.5) 
Cigarette smoking 
 Never 627 (54.8) 319 (51.5) 3,415 (50.8) 1,414 (50.5) 
 Ever 518 (45.2) 301 (48.5) 3,303 (49.2) 1,385 (49.5) 
Sites 
 AACES 596 (52.0) 315 (50.8) NA NA 
 CCCS 80 (7.0) 44 (7.1) 421 (6.3) 233 (8.3) 
 NCOCS 191 (16.7) 115 (18.6) 859 (12.8) 812 (29.0) 
 LACOCS 145 (12.7) 127 (20.5) 1,806 (26.8) 1,180 (42.1) 
 WHI 134 (11.6) 19 (3.1) 3,649 (54.2) 575 (20.5) 
Histotype 
 High-grade serous  402 (65.1)  1,707 (61.5) 
 Low-grade serous  22 (3.6)  91 (3.3) 
 Endometrioid  51 (8.3)  209 (7.5) 
 Clear cell  23 (3.7)  206 (7.4) 
 Mucinous  40 (6.5)  150 (5.4) 
 Others  80 (12.9)  411 (14.8) 
African AmericanWhite
Characteristics, mean (SD) or N (%)aControls (N = 1,146)Cases (N = 620)Controls (N = 6,735)Cases (N = 2,800)
Age, years 55.4 (12.9) 57.1 (10.9) 64.7 (12.8) 61.2 (11.8) 
Education 
 High school graduate/GED or less 422 (36.9) 264 (42.6) 1,182 (17.6) 590 (21.1) 
 Some college 310 (27.1) 162 (26.1) 1,922 (28.6) 752 (26.9) 
 College graduate 244 (21.3) 124 (20.0) 1,328 (19.8) 670 (24.0) 
 Graduate school 168 (14.7) 70 (11.3) 2,285 (34.0) 785 (28.1) 
Body mass index (kg/m2
 <25.0 264 (23.0) 118 (19.0) 3,265 (48.5) 1,458 (52.1) 
 25.0–29.9 341 (30.0) 173 (27.9) 2,039 (30.3) 744 (26.6) 
 30.0–34.9 254 (22.2) 157 (25.3) 892 (13.2) 371 (13.3) 
 ≥35.0 287 (25.0) 172 (27.7) 539 (8.0) 227 (8.1) 
Tubal ligation 
 No 714 (62.4) 421 (68.1) 5,477 (81.5) 2,371 (84.7) 
 Yes 430 (37.6) 197 (31.9) 1,241 (18.5) 427 (15.3) 
Duration of oral contraceptive use (months) 49.7 (68.5) 40.5 (62.7) 39.0 (62.4) 33.1 (54.9) 
Oral contraceptive use 
 Never 340 (29.7) 226 (36.5) 3,361 (49.9) 1,297 (46.4) 
 Ever 805 (70.3) 394 (63.6) 3,372 (50.1) 1,501 (53.3) 
Hysterectomy 
 No 907 (79.8) 465 (75.6) 5,708 (85.9) 2,255 (81.1) 
 Yes 230 (20.2) 150 (24.4) 937 (14.1) 527 (18.9) 
Full-term pregnancies 2.4 (1.8) 2.4 (1.9) 2.3 (1.7) 1.9 (1.6) 
Nulliparity 
 No 961 (84.0) 506 (81.6) 5,395 (80.3) 2,098 (75.0) 
 Yes 183 (16.0) 114 (18.4) 1,323 (19.7) 701 (25.0) 
Patency 
 No 572 (49.9) 311 (50.2) 2,112 (31.4) 903 (32.2) 
 Yes 574 (50.1) 309 (49.8) 4,623 (68.6) 1,897 (67.8) 
Menopausal status 
 Premenopausal 392 (34.2) 170 (27.4) 1,133 (16.8) 560 (20.0) 
 Postmenopausal 753 (65.8) 450 (72.6) 5,595 (83.2) 2,239 (80.0) 
Family history of breast cancer 
 No 1,001 (87.4) 490 (79.0) 5,786 (85.9) 2,326 (83.1) 
 Yes 145 (12.6) 130 (21.0) 949 (14.1) 474 (16.9) 
Family history of ovarian cancer 
 No 1,115 (97.3) 581 (93.7) 6,592 (97.9) 2,674 (95.5) 
 Yes 31 (2.7) 39 (6.3) 143 (2.1) 126 (4.5) 
Cigarette smoking 
 Never 627 (54.8) 319 (51.5) 3,415 (50.8) 1,414 (50.5) 
 Ever 518 (45.2) 301 (48.5) 3,303 (49.2) 1,385 (49.5) 
Sites 
 AACES 596 (52.0) 315 (50.8) NA NA 
 CCCS 80 (7.0) 44 (7.1) 421 (6.3) 233 (8.3) 
 NCOCS 191 (16.7) 115 (18.6) 859 (12.8) 812 (29.0) 
 LACOCS 145 (12.7) 127 (20.5) 1,806 (26.8) 1,180 (42.1) 
 WHI 134 (11.6) 19 (3.1) 3,649 (54.2) 575 (20.5) 
Histotype 
 High-grade serous  402 (65.1)  1,707 (61.5) 
 Low-grade serous  22 (3.6)  91 (3.3) 
 Endometrioid  51 (8.3)  209 (7.5) 
 Clear cell  23 (3.7)  206 (7.4) 
 Mucinous  40 (6.5)  150 (5.4) 
 Others  80 (12.9)  411 (14.8) 

aPercentages for each variable category may or may not total to 100% because of rounding.

Table 3.

ORs and 95% CIs for the association between ever use of genital powder overall and by race, stratified by histotype.

All casesHigh-grade serousAll other histotypes
MVMVMV
Ever use of body powder in genital areasControls (%)Cases (%)OR (95% CI)aCases (%)OR (95% CI)aCases (%)OR (95% CI)a
All participants 
 No 5,403 (68.6) 2,373 (69.4) 1.00 1,451 (68.8) 1.00 900 (70.2) 1.00 
 Yes 2,478 (31.4) 1,047 (30.6) 1.32 (1.17–1.48) 658 (31.2) 1.32 (1.15–1.51) 383 (29.8) 1.29 (1.10–1.52) 
African Americans 
 No 756 (66.0) 398 (64.2) 1.00 255 (63.4) 1.00 141 (65.3) 1.00 
 Yes 390 (34.0) 222 (35.8) 1.22 (0.97–1.53) 147 (36.6) 1.31 (1.01–1.71) 75 (34.7) 1.05 (0.75–1.47) 
Whites 
 No 4,647 (69.0) 1,975 (70.5) 1.00 1,196 (70.1) 1.00 759 (71.1) 1.00 
 Yes 2,088 (31.0) 825 (29.5) 1.36 (1.19–1.57) 511 (29.9) 1.33 (1.12–1.56) 308 (28.9) 1.38 (1.15–1.66) 
All casesHigh-grade serousAll other histotypes
MVMVMV
Ever use of body powder in genital areasControls (%)Cases (%)OR (95% CI)aCases (%)OR (95% CI)aCases (%)OR (95% CI)a
All participants 
 No 5,403 (68.6) 2,373 (69.4) 1.00 1,451 (68.8) 1.00 900 (70.2) 1.00 
 Yes 2,478 (31.4) 1,047 (30.6) 1.32 (1.17–1.48) 658 (31.2) 1.32 (1.15–1.51) 383 (29.8) 1.29 (1.10–1.52) 
African Americans 
 No 756 (66.0) 398 (64.2) 1.00 255 (63.4) 1.00 141 (65.3) 1.00 
 Yes 390 (34.0) 222 (35.8) 1.22 (0.97–1.53) 147 (36.6) 1.31 (1.01–1.71) 75 (34.7) 1.05 (0.75–1.47) 
Whites 
 No 4,647 (69.0) 1,975 (70.5) 1.00 1,196 (70.1) 1.00 759 (71.1) 1.00 
 Yes 2,088 (31.0) 825 (29.5) 1.36 (1.19–1.57) 511 (29.9) 1.33 (1.12–1.56) 308 (28.9) 1.38 (1.15–1.66) 

Abbreviation: MV, multivariable.

aAdjusted for age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of OC use (months, continuous), family history of breast cancer (no, yes), family history of ovarian cancer (no, yes), tubal ligation (yes, no), full term pregnancies (number of pregnancies ≥ 6 months, continuous), hysterectomy (no, yes), interview year (continuous), BMI (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0), menopausal (premenopausal, postmenopausal), smoking (ever, never), and study site (AACES, CCCS, NCOCS, LACOCS, WHI).

Ever use of genital powder was associated with 32% higher risk of ovarian cancer among all women (pooled OR = 1.32; 95% CI = 1.17–1.48). When stratified by race, there was a 36% higher risk of ovarian cancer among White women (pooled OR = 1.36; 95% CI = 1.19–1.57) and a nonsignificant higher risk among AA women (pooled OR = 1.22; 95% CI = 0.97–1.53; Fig. 1; Table 3). No evidence of heterogeneity by race was observed (P = 0.33). When restricted to women with patent reproductive tracts, the OR among all women was 1.27 (95% CI = 1.09–1.48). Among women without patent reproductive tracts, the corresponding OR was 1.42 (95% CI = 1.17–1.72; Phetereogeneity = 0.31). When stratified by race, the OR among women with patent reproductive tracks was 1.22 (95% CI = 0.88–1.69) for AA women and 1.28 (95% CI = 1.08–1.52) for White women.

Figure 1.

Genital powder use in relation to risk of epithelial ovarian cancer among five studies stratified by race. All models are adjusted for age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of oral contraceptive use in months (continuous), family history of breast cancer (yes, no), family history of ovarian cancer (yes, no), tubal ligation (yes, no), full-term pregnancies (≥6 months, continuous), hysterectomy (yes, no), interview year (continuous), BMI (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m2), menopausal status (premenopausal, postmenopausal), and smoking (ever, never).

Figure 1.

Genital powder use in relation to risk of epithelial ovarian cancer among five studies stratified by race. All models are adjusted for age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of oral contraceptive use in months (continuous), family history of breast cancer (yes, no), family history of ovarian cancer (yes, no), tubal ligation (yes, no), full-term pregnancies (≥6 months, continuous), hysterectomy (yes, no), interview year (continuous), BMI (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m2), menopausal status (premenopausal, postmenopausal), and smoking (ever, never).

Close modal

In terms of histotype, both AA and White women who ever used powder in the genital area were at a higher risk for high-grade serous ovarian cancer (AA women OR = 1.31; 95% CI = 1.01–1.71, White women OR = 1.33; 95% CI = 1.12–1.56). A similar association was observed for all other histotypes combined among White women (OR = 1.38; 95% CI = 1.15–1.66) while among AA women, no association was observed among all other histotypes (OR = 1.05; 95% CI = 0.75–1.47; Table 3).

No difference in the association was observed by frequency of genital powder use (≤ once per week OR = 1.34; 95% CI = 1.01–1.79 and more than once per week OR = 1.31; 95% CI = 1.15–1.48; Ptrend = 0.98). When frequency was examined by race, a similar pattern was observed. AA women who used genital powder ≤ once per week (OR = 1.23; 95% CI = 0.68–2.21) and more than once per week (OR = 1.22; 95% CI = 0.96–1.55) had a higher risk of ovarian cancer compared with never users, although neither association was statistically significant (Ptrend = 0.85; Table 4). Similarly, White women who used genital powder ≤ once per week (OR = 1.40; 95% CI = 1.00–1.96) and more than once per week (OR = 1.34; 95% CI = 1.16–1.56) had a higher risk of ovarian cancer compared with never users (Ptrend = 0.90).

Table 4.

ORs and 95% CIs for the association between frequency of genital powder use and ovarian cancer, overall and by race, stratified by histotype.

All casesHigh-grade serousAll other histotypes
MVMVMV
Frequency of useaControls (%)Cases (%)OR (95% CI)bCases (%)OR (95% CI)bCases (%)OR (95% CI)b
All participants 
 No genital use 3,213 (78.4) 2,047 (72.5) 1.00 1,229 (72.3) 1.00 796 (72.6) 1.00 
 ≤ once per week 117 (2.9) 103 (3.7) 1.34 (1.01–1.79) 65 (3.8) 1.34 (0.95–1.87) 37 (3.4) 1.29 (0.87–1.92) 
 > once per week 747 (18.2) 650 (23.0) 1.31 (1.15–1.48) 389 (22.9) 1.31 (1.13–1.52) 257 (23.5) 1.29 (1.09–1.54) 
Ptrendc   0.98  0.88  0.79 
African Americans 
 No genital use 700 (69.5) 391 (65.6) 1.00 249 (64.7) 1.00 140 (67.0) 1.00 
 ≤ once per week 35 (3.5) 23 (3.9) 1.23 (0.68–2.21) 14 (3.6) 1.18 (0.59–2.36) 09 (4.3) 1.21 (0.64–3.07) 
 > once per week 272 (27.0) 182 (30.5) 1.22 (0.96–1.55) 122 (31.7) 1.34 (1.02–1.76) 60 (28.7) 1.02 (0.71–1.45) 
Ptrendc   0.85  0.68  0.77 
Whites 
 No genital use 2,513 (81.9) 1,656 (75.1) 1.00 980 (75.5) 1.00 656 (74.5) 1.00 
 ≤ once per week 82 (2.7) 80 (3.6) 1.40 (1.00–1.96) 51 (3.9) 1.42 (1.00–2.12) 28 (3.2) 1.32 (0.84–2.08) 
 > once per week 475 (15.5) 468 (21.2) 1.34 (1.16–1.56) 267 (20.6) 1.29 (1.08–1.54) 197 (22.4) 1.40 (1.15–1.71) 
Ptrendc   0.90  0.68  0.66 
All casesHigh-grade serousAll other histotypes
MVMVMV
Frequency of useaControls (%)Cases (%)OR (95% CI)bCases (%)OR (95% CI)bCases (%)OR (95% CI)b
All participants 
 No genital use 3,213 (78.4) 2,047 (72.5) 1.00 1,229 (72.3) 1.00 796 (72.6) 1.00 
 ≤ once per week 117 (2.9) 103 (3.7) 1.34 (1.01–1.79) 65 (3.8) 1.34 (0.95–1.87) 37 (3.4) 1.29 (0.87–1.92) 
 > once per week 747 (18.2) 650 (23.0) 1.31 (1.15–1.48) 389 (22.9) 1.31 (1.13–1.52) 257 (23.5) 1.29 (1.09–1.54) 
Ptrendc   0.98  0.88  0.79 
African Americans 
 No genital use 700 (69.5) 391 (65.6) 1.00 249 (64.7) 1.00 140 (67.0) 1.00 
 ≤ once per week 35 (3.5) 23 (3.9) 1.23 (0.68–2.21) 14 (3.6) 1.18 (0.59–2.36) 09 (4.3) 1.21 (0.64–3.07) 
 > once per week 272 (27.0) 182 (30.5) 1.22 (0.96–1.55) 122 (31.7) 1.34 (1.02–1.76) 60 (28.7) 1.02 (0.71–1.45) 
Ptrendc   0.85  0.68  0.77 
Whites 
 No genital use 2,513 (81.9) 1,656 (75.1) 1.00 980 (75.5) 1.00 656 (74.5) 1.00 
 ≤ once per week 82 (2.7) 80 (3.6) 1.40 (1.00–1.96) 51 (3.9) 1.42 (1.00–2.12) 28 (3.2) 1.32 (0.84–2.08) 
 > once per week 475 (15.5) 468 (21.2) 1.34 (1.16–1.56) 267 (20.6) 1.29 (1.08–1.54) 197 (22.4) 1.40 (1.15–1.71) 
Ptrendc   0.90  0.68  0.66 

Abbreviation: MV, multivariable.

aFrequency of use variable includes the following study sites: AACES, CCCS, NCOCS, LACOCS.

bAdjusted for age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of OC use (months, continuous), family history of breast cancer (no, yes), family history of ovarian cancer (no, yes), tubal ligation (yes, no), full-term pregnancies (number of pregnancies ≥ 6 months, continuous), hysterectomy (no, yes), interview year (continuous), BMI (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0), menopausal status (premenopausal, postmenopausal), smoking (ever, never), and study site (AACES, CCCS, NCOCS, LACOCS, WHI).

cDetermined using category median values.

No dose–response trends were observed for duration of genital powder use overall or when stratified by race. Among all women, the OR for long-term use (>20 years) was 1.28 (95% CI = 1.08–1.51) and the OR for ≤20 years was 1.43 (95% CI = 1.22–1.68; Ptrend = 0.97). When duration of use was examined among AA women, those who used genital powder for ≤20 years had a higher risk of ovarian cancer (OR = 1.44; 95% CI = 1.06–1.95) compared with never users, while no association was observed among those using powder for more than 20 years (OR = 1.06; 95% CI: 0.78–1.44; Ptrend = 0.19; Table 5). There was a similar risk of ovarian cancer among White women regardless of duration of use, with an OR of 1.42 (95% CI = 1.17–1.71) for those who used genital powder for ≤20 years and 1.40 (95% CI = 1.14–1.72) for long-term use (Ptrend = 0.33). Results for frequency and duration were similar when stratified by histotype (Tables 4 and 5).

Table 5.

ORs and 95% CIs for the association between duration of genital powder use and ovarian cancer, overall and by race, stratified by histotype.

All casesHigh-grade serousAll other histotypes
MVMVMV
Duration of useaControls (%)Cases (%)OR (95% CI)bCases (%)OR (95% CI)bCases (%)OR (95% CI)b
All participants 
 No genital use 5,403 (69.5) 2,374 (71.1) 1.00 1,452 (70.4) 1.00 900 (72.1) 1.00 
 ≤20 years 1,443 (18.6) 534 (16.0) 1.43 (1.22–1.68) 334 (16.2) 1.42 (1.17–1.71) 198 (15.9) 1.44 (1.16–1.78) 
 >20 years 924 (11.9) 483 (12.9) 1.28 (1.08–1.51) 277 (13.4) 1.32 (1.09–1.60) 151 (12.1) 1.19 (0.94–1.50) 
Ptrendc   0.97  0.71  0.58 
African Americans 
 No genital use 756 (67.7) 398 (66.0) 1.00 255 (65.2) 1.00 141 (67.1) 1.00 
 ≤20 years 196 (17.6) 106 (17.6) 1.44 (1.06–1.95) 67 (17.1) 1.53 (1.07–2.18) 39 (18.6) 1.29 (0.83–2.00) 
 >20 years 164 (14.7) 99 (16.4) 1.06 (0.78–1.44) 69 (17.7) 1.19 (0.84–1.69) 30 (14.3) 0.83 (0.52–1.34) 
Ptrendc   0.19  0.39  0.28 
Whites 
 No genital use 4,647 (69.8) 1,976 (72.2) 1.00 1,197 (71.6) 1.00 759 (73.1) 1.00 
 ≤20 years 1,247 (18.7) 428 (15.6) 1.42 (1.17–1.71) 267 (16.0) 1.35 (1.08–1.69) 159 (15.3) 1.47 (1.15–1.88) 
 >20 years 760 (11.4) 333 (12.2) 1.40 (1.14–1.72) 208 (12.4) 1.40 (1.11–1.77) 121 (11.7) 1.36 (1.03–1.80) 
Ptrendc   0.33  0.26  0.83 
All casesHigh-grade serousAll other histotypes
MVMVMV
Duration of useaControls (%)Cases (%)OR (95% CI)bCases (%)OR (95% CI)bCases (%)OR (95% CI)b
All participants 
 No genital use 5,403 (69.5) 2,374 (71.1) 1.00 1,452 (70.4) 1.00 900 (72.1) 1.00 
 ≤20 years 1,443 (18.6) 534 (16.0) 1.43 (1.22–1.68) 334 (16.2) 1.42 (1.17–1.71) 198 (15.9) 1.44 (1.16–1.78) 
 >20 years 924 (11.9) 483 (12.9) 1.28 (1.08–1.51) 277 (13.4) 1.32 (1.09–1.60) 151 (12.1) 1.19 (0.94–1.50) 
Ptrendc   0.97  0.71  0.58 
African Americans 
 No genital use 756 (67.7) 398 (66.0) 1.00 255 (65.2) 1.00 141 (67.1) 1.00 
 ≤20 years 196 (17.6) 106 (17.6) 1.44 (1.06–1.95) 67 (17.1) 1.53 (1.07–2.18) 39 (18.6) 1.29 (0.83–2.00) 
 >20 years 164 (14.7) 99 (16.4) 1.06 (0.78–1.44) 69 (17.7) 1.19 (0.84–1.69) 30 (14.3) 0.83 (0.52–1.34) 
Ptrendc   0.19  0.39  0.28 
Whites 
 No genital use 4,647 (69.8) 1,976 (72.2) 1.00 1,197 (71.6) 1.00 759 (73.1) 1.00 
 ≤20 years 1,247 (18.7) 428 (15.6) 1.42 (1.17–1.71) 267 (16.0) 1.35 (1.08–1.69) 159 (15.3) 1.47 (1.15–1.88) 
 >20 years 760 (11.4) 333 (12.2) 1.40 (1.14–1.72) 208 (12.4) 1.40 (1.11–1.77) 121 (11.7) 1.36 (1.03–1.80) 
Ptrendc   0.33  0.26  0.83 

Abbreviation: MV, multivariable.

aDuration of use variable includes the following study sites: AACES, CCCS, NCOCS, LACOCS, WHI.

bAdjusted for age (continuous), education (high school graduate/GED or less, some college, college graduate, graduate/professional school), duration of OC use (months, continuous), family history of breast cancer (no, yes), family history of ovarian cancer (no, yes), tubal ligation (yes, no), full-term pregnancies (number of pregnancies ≥ 6 months, continuous), hysterectomy (no, yes), interview year (continuous), BMI (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0), menopausal status (premenopausal, postmenopausal), smoking (ever, never), and study site (AACES, CCCS, NCOCS, LACOCS, WHI).

cDetermined using category median values.

The PARs forever use of genital body powder were similar between AA women (7.5%; 95% CI = 6.5–8.5 and White women (6.2%; 95% CI = 5.4–6.9). The PAR when AA and White women were combined was 6.4% (95% CI = 2.2–10.0).

In this study, ever use of genital body powder was associated with higher odds of ovarian cancer in both AA and White women and the population attributable risk was similar in the two groups. Use of genital body powder was more strongly associated with the risk of high-grade serous cancer than with non-high-grade serous cancer in AA women, while a positive association was observed irrespective of histotype in White women. There was not a dose–response relationship regarding frequency or duration of genital powder use and ovarian cancer among AA or White women.

Most prior observational research examining genital powder use and ovarian cancer risk has been conducted in predominantly White populations and very few studies have compared effect estimates for genital powder use by race (10). Cramer and colleagues, examined the association between genital talc use and ovarian cancer in a population-based case–control study, including analyses stratified by race (19). In this study, the odds of ovarian cancer were higher for AA women than for any other race (OR = 5.08; 95% CI = 1.32–19.6). The corresponding OR for White women was 1.35 (95% CI = 1.17–1.55) and a significant interaction was observed by race (Pinteraction = 0.002). It is important to note that the findings among AA women were based on small numbers (35 AA cases and 23 AA controls). Peres and colleagues pooled data from AACES and 11 other case–control studies in the OCAC to evaluate racial/ethnic differences in multiple epidemiologic factors, including genital body powder use and epithelial ovarian cancer risk (10). Among the eight case–control studies with information on genital powder use, AA (OR = 1.62; 95% CI = 1.32–2.00), non-Hispanic White (OR = 1.30; 95% CI = 1.20–1.41), and Hispanic (OR = 1.41; 95% CI = 0.93–2.13) women who used genital powder had a higher odds of ovarian cancer compared with those who did not use genital powder (10). Asian/Pacific Islanders who used genital powder had a similar odds of ovarian cancer compared with never users (OR = 1.02; 95% CI = 0.61–0.70). This analysis included predominantly non-Hispanic White study populations (cases = 5,149 and controls = 10,256) in comparison with only 698 AA cases and 872 AA controls (10). A limitation of this study was that study heterogeneity could only be assessed for non-Hispanic Whites due to low numbers of other racial groups in some studies. This is in contrast to OCWAA studies which require a minimum number of AA cases in each study to provide the ability to assess heterogeneity across studies (12).

LACOCS and NCOCS, studies included in the current OCWAA consortium analysis, reported an increased risk of ovarian cancer among AA talc users compared with White talc users. In LACOCS, use of talc for 1 year or more compared with less than 1 year/no talc use was associated with higher, and similar, odds of ovarian cancer among all racial/ethnic groups; non-Hispanic White women (OR = 1.41; 95% CI = 1.41–1.67), Hispanic women (OR = 1.77; 95% CI = 1.20–2.62), and AA women (OR = 1.56; 95% CI = 0.80–3.04; ref. 9). The reference group in this analysis included both never use of talc and less than 1 year which differs from our reference group of never use. In NCOCS, AA women who reported talc use had a higher risk of ovarian cancer (OR = 1.19; 95% CI = 0.68–2.09) than those who did not, while no association was observed among White women (OR = 1.04; 95% CI = 0.82–1.33; ref. 20). The current OCWAA analyses included additional NCOCS cases not included in the 2009 analysis.

To our knowledge, AACES is the largest individual case–control study of AA women to examine the association between genital powder use and ovarian cancer with 584 cases and 745 controls (11). In AACES, women who ever used genital powder had a 44% higher risk of ovarian cancer (OR = 1.44; 95% CI = 1.11–1.86) compared with those who did not report any powder use. When the time period was limited to women who were interviewed prior to 2014, (i.e., before ongoing lawsuits about genital powder use which had extensive media coverage), the results were attenuated and no longer significant (OR = 1.19; 95% CI = 0.87–1.63). In contrast, a significant positive association was observed among those interviewed after 2014 (OR = 2.91; 95% CI = 1.70–4.97; ref. 11). These results highlight the potential for recall bias in case–control studies, especially those conducted after 2013 (8). AACES was included in our current analyses with the restriction of cases and controls to those interviewed prior to 2014 to avoid possible reporting bias resulting from lawsuits beginning in 2014.

In regards to cohort studies, which are not impacted by recall bias, there have been very few prospective evaluations on genital powder use and ovarian cancer and to our knowledge only one prospective analyses by O'Brien and colleagues, which included four cohort studies, has presented results by race comparing non-Hispanic White women (n = 2061) with women of all other race/ethnicities (n = 107; ref. 4).Our study, which included both prospective data from a case–control study nested within the WHI prospective cohort (which was included in the O'Brien study) and retrospective case–control studies restricted to interviews prior to 2014, identified a positive association of borderline significance between genital powder use and ovarian cancer risk among AA women (OR = 1.22; 95% CI = 0.97–1.53) and a larger significant positive association among White women (OR = 1.37; 95% CI = 1.19–1.57). This differs from the previous three case–control studies in which AA women who used genital powder had a suggestively higher odds of ovarian cancer compared with White women who used genital powder (9, 19, 20). However, only Cramer and colleagues, observed a statistically significant interaction by race (19) and in all three studies the CIs between the ORs for AA and White women overlapped.

To our knowledge, this is only the second study to examine the association between frequency and duration of genital powder use and ovarian cancer risk among AA women. We observed no clear dose–response trends for frequency or duration of genital powder use and ovarian cancer risk among AA women or White women. In contrast, AACES reported significant trends for both frequency (less than 30 times per month, daily use) and duration (<20 years, ≥ 20 years) of genital powder use (Ptrend < 0.01, Ptrend = 0.02), respectively (11). While different than AACES, our results are consistent with most prior studies that report no significant dose–response association between genital powder use and ovarian cancer risk (5, 21–25). AACES cases diagnosed after 2014 were not excluded in the frequency and duration analysis which may explain the difference in ORs between our studies. We did not conduct an analysis that addressed both duration and frequency of application. Some women may use body powder products on a non-daily basis; therefore, the best measure of dose may be the number of applications based on frequency of applications × years of use. However, this measure was not available for most OCWAA studies.

Very few studies have examined the PAR for genital body powder use and ovarian cancer by race. PARs were calculated across four ovarian cancer case–control studies in Los Angeles county for talc use with estimates of 13.0% among non-Hispanic whites (95% CI = 8.7–16.8) and 15.1% among African Americans (95% CI = 10.0–19.5; ref. 9). The PARs observed in our study were lower but both studies suggest that differences in ovarian cancer risk between AA and White women are not driven by genital powder use.

The few previous studies that examined genital powder use and ovarian cancer risk among AA women have had limited power to examine the association by histotype, with most prior publications with fewer than 150 total cases among AA women (9, 20, 26–28). In AACES, genital powder use was significantly associated with serous (OR = 1.38; 95% CI = 1.03–1.85) and non-serous ovarian cancer (OR = 1.63; 95% CI = 1.04–2.55) when compared with never users (11). In our study, genital powder use was associated with risk of both high-grade serous and non-high-grade serous ovarian cancer among White women, while genital powder use was only associated with only high-grade serous among AA women; however, given the wide CIs this result should be cautiously interpreted. Previous meta-analyses reported that genital powder use is associated with increased risk of serous and endometrioid histotypes, but not with mucinous (5). Unfortunately, even with our consortium approach, because only five of eight OCWAA studies collected information on genital powder use we did not have adequate power to examine associations by individual histotype except for high-grade serous.

Limitations of our study must be considered. Recall bias was not a concern for the cases and controls included in our study from the prospective study (WHI). However, for case–control studies, recall bias can be a concern for some exposures (8). This is particularly true for genital powder use with the advent of talc related lawsuits in 2014. All our analyses excluded interviews from case–control studies after 2014 to address this issue of recall bias. Genital body powder use was self-reported in each of the contributing OCWAA studies. It is possible that there were systematic differences in the way participants remember or report genital body powder and there were differences in the wording of the genital powder questions in the various studies. However, the definition of genital body powder exposure was the same for cases and controls in each of the individual OCWAA studies and we did not observe heterogeneity across studies in the effect estimates, highlighting that the results from our included prospective study (WHI) were not materially different from the four retrospective case–control studies. It is likely that with the exclusion of interviews conducted in 2014 and later, any misclassification would be non-differential with respect to the outcome, resulting in bias toward the null.

Strengths of our study include the large number of AA women made possible through the OCWAA consortium, which provided greater statistical power than any previous study to examine associations among AA women, both overall and by histotype and frequency and duration of genital powder use, and the ability to evaluate study heterogeneity. In addition, harmonization of the covariates across the included studies allowed for consistent adjustment for potential confounders.

In conclusion, in this consortium analysis of AA and White women, while the prevalence of ever genital body powder use was higher among AA women in the OCWAA consortium, the association between genital powder use and ovarian cancer risk was similar among AA and White women. Furthermore, there was not a dose–response relationship between frequency or duration of genital powder use and ovarian cancer risk or any significant differences in association by histotype.

E.V. Bandera reports grants from NIH during the conduct of the study. T.N. Bethea reports grants from NCI during the conduct of the study. A. Beeghly-Fadiel reports grants from NIH U24 MD010722 PMHDC Pilot Study and NIH U54 CA163072 MVTCP outside the submitted work. P.G. Moorman reports grants from Duke University during the conduct of the study, as well as personal fees from Law Firm outside the submitted work. E.R. Myers reports grants from NCI during the conduct of the study. No disclosures were reported by the other authors.

C.P. Davis: Formal analysis, writing–original draft. E.V. Bandera: Writing–review and editing. T.N. Bethea: Writing–review and editing. F. Camacho: Conceptualization, formal analysis, writing–review and editing. C.E. Joslin: Writing–review and editing. A.H. Wu: Writing–review and editing. A. Beeghly-Fadiel: Writing–review and editing. P.G. Moorman: Writing–review and editing. E.R. Myers: Writing–review and editing. H.M. Ochs-Balcom: Writing–review and editing. L.C. Peres: Writing–review and editing. W.T. Rosenow: Formal analysis, writing–review and editing. V.W. Setiawan: Writing–review and editing. L. Rosenberg: Conceptualization, funding acquisition, writing–review and editing. J.M. Schildkraut: Conceptualization, funding acquisition, project administration, writing–review and editing. H.R. Harris: Methodology, writing–original draft, writing–review and editing.

This study is supported by the NIH (R01-CA207260, to J.M. Schildkraut and L. Rosenberg and K01-CA212056, to T.N. Bethea). AACES was funded by NCI (R01-CA142081, to J.M. Schildkraut); BWHS is funded by NIH (R01-CA058420, UM1-CA164974, and U01-CA164974, to L. Rosenberg); CCCS was funded by NIH/NCI (R01-CA61093, to K. Rosenblatt); LACOCS was funded by NCI (R01-CA17054, to M. Pike, R01-CA58598, to M. Goodman and A.H. Wu, and Cancer Center Core grant P30-CA014089, to B. Henderson and A.H. Wu) and by the California Cancer Research Program (2II0200, to A.H. Wu); and NCOCS was funded by NCI (R01-CA076016, to J.M. Schildkraut). The WHI program is funded by the National Heart, Lung, and Blood Institute through contracts HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C. Additional grants to support WHI inclusion in OCWAA include UM1-CA173642-05 (to Anderson), NHLBI-CSB-WH-2016-01-CM, and NHLBI-75N92021D00002.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Gabriel
IM
,
Vitonis
AF
,
Welch
WR
,
Titus
L
,
Cramer
DW
. 
Douching, talc use, and risk for ovarian cancer and conditions related to genital tract inflammation
.
Cancer Epidemiol Biomarkers Prev
2019
;
28
:
1835
44
.
2.
Brown
JM
,
Poirot
E
,
Hess
KL
,
Brown
S
,
Vertucci
M
,
Hezareh
M
. 
Motivations for intravaginal product use among a cohort of women in Los Angeles
.
PLoS One
2016
;
11
:
e0151378
.
3.
IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
. 
Carbon black, titanium dioxide, and talc IARC Monogr Eval Carcinog Risks Hum
2010
;
93
:
1
413
.
4.
O'Brien
KM
,
Tworoger
SS
,
Harris
HR
,
Anderson
GL
,
Weinberg
CR
,
Trabert
B
, et al
Association of powder use in the genital area with risk of ovarian cancer
.
JAMA
2020
;
323
:
49
59
.
5.
Terry
KL
,
Karageorgi
S
,
Shvetsov
YB
,
Merritt
MA
,
Lurie
G
,
Thompson
PJ
, et al
Genital powder use and risk of ovarian cancer: a pooled analysis of 8,525 cases and 9,859 controls
.
Cancer Prev Res
2013
;
6
:
811
21
.
6.
Berge
W
,
Mundt
K
,
Luu
H
,
Boffetta
P
. 
Genital use of talc and risk of ovarian cancer: a meta-analysis
.
Eur J Cancer Prev
2018
;
27
:
248
57
.
7.
Wentzensen
N
,
Wacholder
S
. 
Talc use and ovarian cancer: epidemiology between a rock and a hard place
.
J Natl Cancer Inst
2014
;
106
:
dju260
.
8.
Trabert
B
. 
Body powder and ovarian cancer risk–what is the role of recall bias?
Cancer Epidemiol Biomarkers Prev
2016
;
25
:
1369
70
.
9.
Wu
AH
,
Pearce
CL
,
Tseng
C-C
,
Pike
MC
. 
African Americans and hispanics remain at lower risk of ovarian cancer than non-hispanic whites after considering nongenetic risk factors and oophorectomy rates
.
Cancer Epidemiol Biomarkers Prev
2015
;
24
:
1094
100
.
10.
Peres
LC
,
Risch
H
,
Terry
KL
,
Webb
PM
,
Goodman
MT
,
Wu
AH
, et al
Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies
.
Int J Epidemiol
2018
;
47
:
460
72
.
11.
Schildkraut
JM
,
Abbott
SE
,
Alberg
AJ
,
Bandera
EV
,
Barnholtz-Sloan
JS
,
Bondy
ML
, et al
Association between body powder use and ovarian cancer: the African American Cancer Epidemiology Study (AACES)
.
Cancer Epidemiol Biomarkers Prev
2016
;
25
:
1411
7
.
12.
Schildkraut
JM
,
Peres
LC
,
Bethea
TN
,
Camacho
F
,
Chyn
D
,
Cloyd
EK
, et al
Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: a resource of harmonized data from eight epidemiologic studies of African American and white women
.
Cancer Causes Control
2019
;
30
:
967
78
.
13.
Kurman
RJ
,
Carcangiu
ML
,
Herrington
CS
,
Young
RH
.
WHO/IARC classification of tumours of female reproductive organs
.
Lyon, France
:
ISBN (EPUB)
; 
2014
.
14.
Chang
B-H
,
Hoaglin
DC
. 
Meta-analysis of odds ratios: current good practices
.
Med Care
2017
;
55
:
328
35
.
15.
Cole
SR
,
Chu
H
,
Greenland
S
. 
Maximum likelihood, profile likelihood, and penalized likelihood: a primer
.
Am J Epidemiol
2014
;
179
:
252
60
.
16.
Bangdiwala
SI
,
Bhargava
A
,
O'Connor
DP
,
Robinson
TN
,
Michie
S
,
Murray
DM
, et al
Statistical methodologies to pool across multiple intervention studies
.
Transl Behav Med
2016
;
6
:
228
35
.
17.
Bruzzi
P
,
Green
SB
,
Byar
DP
,
Brinton
LA
,
Schairer
C
. 
Estimating the population attributable risk for multiple risk factors using case-control data
.
Am J Epidemiol
1985
;
122
:
904
14
.
18.
Peres
LC
,
Bethea
TN
,
Camacho
TF
,
Bandera
EV
,
Beeghly-Fadiel
A
,
Chyn
DL
, et al
Racial differences in population attributable risk for epithelial ovarian cancer in the OCWAA Consortium
.
J Natl Cancer Inst
2021
;
113
:
710
8
.
19.
Cramer
DW
,
Vitonis
AF
,
Terry
KL
,
Welch
WR
,
Titus
LJ
. 
The association between talc use and ovarian cancer: a retrospective case–control study in two US states
.
Epidemiology
2016
;
27
:
334
46
.
20.
Moorman
PG
,
Palmieri
RT
,
Akushevich
L
,
Berchuck
A
,
Schildkraut
JM
. 
Ovarian cancer risk factors in African-American and white women
.
Am J Epidemiol
2009
;
170
:
598
606
.
21.
Whittemore
AS
,
Wu
ML
,
Paffenbarger
RS
 Jr
,
Sarles
DL
,
Kampert
JB
,
Grosser
S
, et al
Personal and environmental characteristics related to epithelial ovarian cancer: II. Exposures to talcum powder, tobacco, alcohol, and coffee
.
Am J Epidemiol
1988
;
128
:
1228
40
.
22.
Wong
C
,
Hempling
RE
,
Piver
MS
,
Natarajan
N
,
Mettlin
CJ
. 
Perineal talc exposure and subsequent epithelial ovarian cancer: a case-control study
.
Obstet Gynecol
1999
;
93
:
372
6
.
23.
Ness
RB
,
Grisso
JA
,
Cottreau
C
,
Klapper
J
,
Vergona
R
,
Wheeler
JE
, et al
Factors related to inflammation of the ovarian epithelium and risk of ovarian cancer
.
Epidemiology
2000
;
11
:
111
7
.
24.
Rosenblatt
KA
,
Weiss
NS
,
Cushing-Haugen
KL
,
Wicklund
KG
,
Rossing
MA
. 
Genital powder exposure and the risk of epithelial ovarian cancer
.
Cancer Causes Control
2011
;
22
:
737
42
.
25.
Chang
S
,
Risch
HA
. 
Perineal talc exposure and risk of ovarian carcinoma
.
Cancer
1997
;
79
:
2396
401
.
26.
John
EM
,
Whittemore
AS
,
Harris
R
,
Itnyre
J
. 
Characteristics relating to ovarian cancer risk: collaborative analysis of seven US case-control studies. Epithelial ovarian cancer in black women. Collaborative Ovarian Cancer Group
.
J Natl Cancer Inst
1993
;
85
:
142
7
.
27.
Hoyo
C
,
Berchuck
A
,
Halabi
S
,
Bentley
RC
,
Moorman
P
,
Calingaert
B
, et al
Anthropometric measurements and epithelial ovarian cancer risk in African–American and White women
.
Cancer Causes Control
2005
;
16
:
955
63
.
28.
Ness
RB
,
Grisso
JA
,
Klapper
J
,
Vergona
R
. 
Racial differences in ovarian cancer risk
.
J Natl Med Assoc
2000
;
92
:
176
82
.