Key Points
Question
Is environmental exposure to polybrominated diphenyl ether (PBDE) flame retardants associated with risk of all-cause and cause-specific mortality?
Findings
In this cohort study of 16 162 adults in the general US population, higher serum PBDE exposure levels were associated with increased risk of death from cancer during the follow-up.
Meaning
These results suggest evidence for the long-term adverse health effects of PBDEs in humans.
This cohort study uses data from the National Health and Nutrition Examination Survey (NHANES) to investigate the association of environmental exposure to polybrominated diphenyl ether (PBDE) flame retardants with risk of all-cause and cause-specific mortality.
Abstract
Importance
Polybrominated diphenyl ethers (PBDEs) are an important group of persistent organic pollutants with endocrine-disrupting properties. However, prospective cohort studies regarding the association of PBDE exposure with long-term health outcomes, particularly mortality, are lacking.
Objective
To examine the association of environmental exposure to PBDEs with risk of all-cause and cause-specific mortality.
Design, Setting, and Participants
This nationally representative cohort study used data from the National Health and Nutrition Examination Survey 2003 to 2004 and linked mortality information through December 31, 2019. Adults aged 20 years or older with available data on PBDE measurements and mortality were included. Statistical analysis was performed from February 2022 to April 2023.
Exposures
PBDE analytes in serum samples were measured using solid phase extraction and isotope dilution gas chromatography high-resolution mass spectrometry.
Main Outcomes and Measures
All-cause mortality, cancer mortality, and cardiovascular mortality.
Results
This study included 1100 participants (mean [SE] age, 42.9 [0.6] years; proportion [SE] female, 51.8% [1.6%]; proportion [SE] Hispanic, 12.9% [2.7%]; proportion [SE] non-Hispanic Black, 10.5% [1.6%]; proportion [SE] non-Hispanic White, 70.8% [3.7%]; proportion [SE] other race and ethnicity, 5.8% [1.1%]). During 16 162 person-years of follow-up (median [IQR] follow-up, 15.8 [15.2-16.3] years; maximum follow-up, 17 years), 199 deaths occurred. Participants with higher serum PBDE levels were at higher risk for death. After adjustment for age, sex, and race and ethnicity, lifestyle and socioeconomic factors, and body mass index, participants with the highest tertile of serum PBDE levels had an approximately 300% increased risk of cancer mortality (HR, 4.09 [95% CI, 1.71-9.79]) compared with those with the lowest tertile of serum PBDE levels. No significant association of PBDE exposure with all-cause mortality (HR, 1.43 [95% CI, 0.98-2.07]) or cardiovascular mortality (HR, 0.92 [95% CI, 0.41-2.08]) was observed.
Conclusions and Relevance
In this nationally representative cohort study, PBDE exposure was significantly associated with an increased risk of cancer mortality. Further studies are needed to replicate the findings and determine the underlying mechanisms.
Introduction
Polybrominated diphenyl ethers (PBDEs) are a group of persistent organic pollutants that represent a substantial environmental and human health concern.1,2 Since the 1970s, PBDEs have been used as flame retardants in a wide array of consumer products, such as building materials, furnishings, and electronics.3 PBDEs enter the environment at sites of production, use, and disposal of PBDE-containing products. PBDEs strongly bind to sediments and soils because of their low water solubility and high lipophilicity.4 They degrade in the environment by debromination reactions, forming more toxic, lower brominated PBDE congeners.
Although the manufacturing and use of PBDEs are mostly banned under the Stockholm Convention on Persistent Organic Pollutants, PBDEs remain ubiquitous in the environment (eg, air, water, soil), bioaccumulate in food chains, and have a high potential for long-range transport.5 Humans continue to be exposed to these compounds from eating foods or breathing air contaminated with PBDEs.3,6,7,8 Biomonitoring studies among a nationally representative sample from the National Health and Nutrition Examination Surveys (NHANES) have shown that several PDBE congeners (ie, BDE28, BDE47, BDE99, BDE100, BDE153) are frequently detected in the US general population.9,10
The health effects of PBDE exposure in humans remain unclear. Several cross-sectional studies found that PBDE exposure was associated with increased risk of thyroid disease,11 diabetes,12,13 and metabolic syndrome.12 In several case-control studies for the association between PBDE exposure and cancer risk, some but not all reported a significant association of PBDE exposure with thyroid and breast cancer.14,15,16,17,18 However, prospective cohort studies investigating the association between PBDE exposure and long-term risk of mortality are lacking. In this study, we investigated the association of PBDE exposure, assessed by serum PBDE levels, with all-cause and cause-specific mortality in a nationally representative cohort of US adults.
Methods
Study Population
The NHANES is a nationally representative health survey of the civilian noninstitutionalized resident population in the US, administered by the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC). The uniqueness of the NHANES is that it not only collects questionnaire data through in-person interviews but also performs health examinations in the Mobile Examination Center and collects specimens for laboratory tests. The NCHS ethics review board has approved the NHANES protocol. Written informed consent was obtained from all participants. This study was determined to be exempt because the data were deidentified. We followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
For this analysis, we included adults aged 20 years and older who participated in the NHANES 2003 to 2004 and had available data on PBDE measurements. We linked all participants to mortality data through 2019, which allowed approximately 16 years of observation for mortality outcomes. Individuals with cardiovascular disease or cancer at baseline were excluded. A flow diagram about participant inclusion has been provided in the eFigure in Supplement 1.
Assessment of PBDE Exposure
PBDE analytes in serum samples were measured by high-resolution gas chromatography–high-resolution mass spectrometry using isotope dilution for quantification. Details of the laboratory methods of PBDE measurement in NHANES were published on the official website. The lower limit of detection (LLOD) for PBDEs was 0.36 μg/L in 2003 to 2004. For PBDE analytes below the LLOD, NHANES assigned a value of the LLOD divided by the square root of 2. PBDEs were reported on a lipid-adjusted basis using concentrations of serum total cholesterol and triglycerides.
PBDE levels were the sum of the 10 PBDEs (2,2’,4-tribromodiphenyl ether; 2,4,4’-tribromodiphenyl ether; 2,2’,4,4’-tetrabromodiphenyl ether; 2,2’,3,4,4’-pentabromodiphenyl ether; 2,2’,4,4’,5-pentabromodiphenyl ether; 2,2’,4,4’,6-pentabromodiphenyl ether; 2,2’,4,4’,5,5′-hexabromodiphenyl ether; 2,2’,4,4’,5,6’-hexabromodiphenyl ether; 2,2’,3,4,4’,5′,6-heptabromodiphenyl ether; 2,3′,4,4’-tetrabromodiphenyl ether) measured in the NHANES 2003-2004. Five PBDEs for which at least 60% of the study participants had concentrations more than the limit of detection were analyzed individually.
Ascertainment of Mortality Outcomes
We used the NHANES Public-Use Linked Mortality File through December 31, 2019, which was linked by the NCHS to the National Death Index with a probabilistic matching algorithm to determine the mortality status.19 National Death Index is an NCHS centralized database of all deaths in the US. Data about underlying cause of death were used for case definition according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10).20 Accordingly, the NCHS classified cardiovascular mortality as death from heart disease (ICD-10 codes I00-I09, I11, I13, I20-I51) or cerebrovascular disease (ICD-10 codes I60-I69) and cancer mortality as death from malignant neoplasms (ICD-10 codes C00-C97). This approach has been used in previous reports.21,22
Assessment of Covariates
Information on age, sex, race and ethnicity, education, family income, smoking status, alcohol drinking, physical activity, and dietary intake was self-reported using questionnaires. According to the 1997 US federal Office of Management and Budget standards, race and ethnicity was categorized into Hispanic (including Mexican and non-Mexican Hispanic), non-Hispanic Black, non-Hispanic White, and other. Information about race and ethnicity was assessed considering the differences in mortality rates among different ethnic groups. Family income was categorized as the ratio of family income to federal poverty level less than 1.0, 1.0 to 1.9, 2.0 to 3.9, and greater than or equal to 4.0. A higher income-to-poverty ratio indicates a better family income status. Self-reported education status was grouped as lower than high school, high school, and college or higher. In accordance with the NCHS classifications, individuals who smoked less than 100 cigarettes in their lifetime were defined as having never smoked; those who had smoked more than 100 cigarettes, but did not smoke at the time of survey, were considered as having formerly smoked; and those who had smoked 100 cigarettes in their lifetime and smoked cigarettes at the time of survey were considered currently smoking. Alcohol intake was categorized as none (0 g/d), moderate drinking (0.1 to 27.9 g/d for men and 0.1 to 13.9 g/d for women), and heavy drinking (≥28 g/d for men and ≥14 g/d for women). For physical activity, participants were asked an array of questions related to daily activities in the questionnaire. Physical activity for each participant was categorized as follows: (1) below, 150 minutes per week moderate- to vigorous-intensity activity; (2) meet, 150 to 300 minutes per week moderate- to vigorous-intensity activity; or (3) exceed, 300 minutes per week moderate- to vigorous-intensity activity. Dietary information was collected by 24-hour dietary recall interviews, from which total energy intake was calculated using the US Department of Agriculture Automated Multiple-Pass Method. We used the Healthy Eating Index-2010 (HEI-2010) to indicate the overall quality of diet (HEI-2010 score from 0 to 100, with 100 being the best-quality diet).23 Body weight and height were measured by trained health technicians following the NHANES Anthropometry Procedures Manual. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters.
Statistical Analysis
NHANES used a complex, multistage probability sampling design to represent the national, civilian, noninstitutionalized population in the US. Therefore, sample weights, strata, and primary sampling units were applied following the NHANES Analytic Guidelines24 to account for the unequal probability of selection, oversampling of certain subpopulations, and nonresponse adjustment.
We created a summary measure of total PBDE concentrations (ng/g) by summing the concentrations for all the 10 PBDE analytes. Additionally, we analyzed the association between 5 PBDE congeners and mortality, respectively, because only these 5 congeners had a detection rate greater than 60%: 2,4,4’-tribromodiphenyl ether (PBDE-28); 2,2′,4,4′-tetrabromodiphenyl ether (PBDE-47); 2,2',4,4',5-pentabromphenyl (BR99); 2,2′,4,4′,6-pentabromodiphenyl ether (PBDE-100); and 2,2’,4,4’,5,5′-hexabromphenyl (PBDE-153).
Means and proportions of baseline characteristics were compared by using linear regression for continuous variables and logistic regression for categorical variables. We used Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% CIs for the associations between PBDE exposure and risk of mortality. Follow-up time for each person was calculated as the difference between the NHANES examination date and the last known date alive or censored from the linked mortality file. The base model was adjusted for age, sex, and race and ethnicity. The second model was additionally adjusted for education, family income level, smoking status, alcohol intake, physical activity, total energy intake, and overall diet quality indicated by HEI-2010 score. BMI was entered into the model separately because it can also be an intermediate on the pathway between PBDE exposure and mortality risk. To test linear trends across categories of PBDE concentrations, we assigned the median values for each category and fitted the log-transformed median values as continuous variable in models. Furthermore, we performed stratified analyses and interaction analyses to examine whether the association differed by age, sex, race and ethnicity, diet quality, physical activity, and obesity status. We conducted a sensitivity analysis by excluding participants younger than 40 years, considering they were less likely to die even after 16 years of follow-up. All statistical analyses were conducted using survey modules of SAS software version 9.4 (SAS Institute) from February 2022 to April 2023. A 2-sided P < .05 was considered statistically significant.
Results
This study included 1100 adults (mean [SE] age, 42.9 [0.6] years; proportion [SE] female, 51.8% [1.6%]; proportion [SE] Hispanic, 12.9% [2.7%]; proportion [SE] non-Hispanic Black, 10.5% [1.6%]; proportion [SE] non-Hispanic White, 70.8% [3.7%]; proportion [SE] other race and ethnicity, 5.8% [1.1%]). During 16 162 person-years of follow-up (median [IQR] follow-up, 15.8 [15.2-16.3] years; maximum follow-up, 17 years), 199 deaths occurred, including 64 deaths from cardiovascular disease (CVD) and 52 deaths from cancer. Participants with higher serum PBDE levels were more likely to be younger, male, and have poorer dietary quality (Table 1). Participant characteristics by PBDE congeners are shown in eTable 1 in Supplement 1.
Table 1. Characteristics of the Study Population.
| Characteristic | No. of participants | Total PBDE, % (SE) | P value | ||
|---|---|---|---|---|---|
| Tertile 1 | Tertile 2 | Tertile 3 | |||
| No. of participants | 1100 | 367 | 366 | 367 | |
| Age, mean (SE), y | 1100 | 45.1 (0.9) | 42.1 (0.8) | 41.2 (1.1) | .004 |
| Sex | |||||
| Male | 516 | 48.3 (3.0) | 43.3 (3.3) | 53.0 (2.5) | .09 |
| Female | 584 | 51.7 (3.0) | 56.7 (3.3) | 47.0 (2.5) | |
| Race and ethnicity | |||||
| Hispanic | 293 | 10.9 (2.6) | 14.3 (3.2) | 13.5 (3.2) | .36 |
| Non-Hispanic Black | 210 | 8.9 (2.3) | 10.5 (1.6) | 12.2 (2.2) | |
| Non-Hispanic White | 544 | 74.9 (4.3) | 67.9 (4.2) | 69.5 (4.5) | |
| Othera | 53 | 5.3 (1.6) | 7.3 (2.1) | 4.7 (1.3) | |
| Education | |||||
| Less than high school | 305 | 14.0 (2.1) | 18.1 (1.4) | 16.7 (2.8) | .37 |
| High school | 275 | 29.4 (3.4) | 22.7 (3.8) | 28.2 (3.3) | |
| College or higher | 520 | 56.6 (2.9) | 59.1 (4.3) | 55.1 (3.1) | |
| Family income to poverty ratio | |||||
| <1.0 | 207 | 11.9 (2.1) | 13.9 (2.3) | 14.2 (2.0) | .49 |
| 1.0-1.9 | 260 | 16.8 (1.8) | 17.8 (2.6) | 19.9 (2.2) | |
| 2.0-3.9 | 281 | 27.8 (3.0) | 31.9 (3.9) | 26.9 (1.9) | |
| ≥4.0 | 286 | 36.4 (3.3) | 32.4 (4.8) | 32.5 (2.4) | |
| Missing | 66 | 7.1 (1.5) | 3.9 (1.8) | 6.6 (1.6) | |
| Smoking | |||||
| Never | 580 | 50.9 (4.2) | 49.8 (2.9) | 52.3 (2.9) | .52 |
| Ever | 243 | 23.5 (3.7) | 22.4 (3.1) | 17.7 (2.5) | |
| Current | 277 | 25.6 (3.4) | 27.8 (3.1) | 30.0 (2.5) | |
| Alcohol drinking | |||||
| No | 790 | 67.6 (4.6) | 71.1 (4.0) | 69.3 (3.1) | .63 |
| Moderate | 97 | 9.9 (1.7) | 8.9 (2.2) | 10.1 (1.7) | |
| Heavy | 169 | 20.2 (3.5) | 16.1 (2.9) | 18.9 (3.1) | |
| Missing | 44 | 2.3 (0.9) | 3.9 (1.1) | 1.6 (0.7) | |
| Physical activity categoriesb | |||||
| Below | 518 | 40.8 (3.6) | 38.0 (3.1) | 44.1 (3.0) | .36 |
| Meet | 174 | 18.1 (3.1) | 18.9 (2.3) | 14.2 (2.1) | |
| Exceed | 408 | 41.1 (4.1) | 43.1 (2.6) | 41.7 (3.5) | |
| Total energy intake, kcal/d | 1100 | 2381.8 (78.0) | 2230.3 (83.4) | 2385.1 (43.2) | .15 |
| HEI-2010 score | 1100 | 46.6 (1.0) | 44.3 (1.2) | 45.2 (0.8) | .048 |
| BMI categories | |||||
| <25 | 349 | 34.1 (2.6) | 34.0 (2.0) | 32.9 (3.5) | .99 |
| 25-29.9 | 375 | 32.6 (2.7) | 31.4 (3.2) | 32.5 (3.2) | |
| ≥30 | 356 | 31.8 (3.9) | 33.3 (3.4) | 33.4 (3.2) | |
| Missing | 20 | 1.4 (0.8) | 1.3 (0.7) | 1.2 (0.4) | |
Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); HEI-2010, healthy eating index 2010; MET, metabolic equivalent of task.
Values were weighted mean (SE) for continuous variables and weighted percentages (SE) for categorical variables, except the number of participants.
Other race and ethnicity included non-Hispanic respondents who were self-identified with more than 1 race.
Physical activity for each participant was categorized as follows: (1) below, 150-min/wk moderate-intensity to vigorous-intensity activity; (2) meet, 150-300-min/wk moderate-intensity to vigorous-intensity activity; or (3) exceed, 300-min/wk moderate-intensity to vigorous-intensity activity.
The association between PBDE exposure and all-cause and cause-specific mortality is shown in Table 2. Participants with higher serum PBDE levels were at a higher risk for death from cancer during the follow-up. After adjustment for age, sex, race and ethnicity, socioeconomic status, dietary and lifestyle factors, and BMI, the multivariable-adjusted HR of cancer mortality comparing the highest tertile with the lowest tertile of serum PBDE levels was 4.09 (95% CI, 1.71 to 9.79). No significant association was observed for all-cause mortality (multivariable-adjusted HR, 1.43 [95% CI, 0.98-2.07]) or CVD mortality (multivariable-adjusted HR, 0.92 [95% CI, 0.41-2.08]). Stratified analyses showed that the observed associations between PBDE exposure and cancer mortality did not differ appreciably by age, sex, race and ethnicity, diet quality, physical activity, or obesity status (Table 3). Stratified analyses for all-cause mortality and CVD mortality are shown in eTables 2 and 3 in Supplement 1, and no association of PBDE exposure with all-cause mortality and CVD mortality in any stratum was found.
Table 2. Association of Serum PBDE Levels With All-Cause and Cause-Specific Mortalitya.
| Risk of mortality, HR (95% CI) | HR per unit increase | P value for trend | |||
|---|---|---|---|---|---|
| Tertile 1 | Tertile 2 | Tertile 3 | |||
| PBDE level, median (range), ng/mL | 16.7 (5.6-24.9) | 37.8 (25.0-59.6) | 103.5 (≥59.7) | ||
| All-cause mortality | |||||
| Deaths/person-years | 74/5296 | 55/5512 | 70/5353 | NA | NA |
| Model 1 | 1 [Reference] | 0.89 (0.59-1.34) | 1.35 (0.91-1.98) | 1.18 (0.94-1.48) | .14 |
| Model 2 | 1 [Reference] | 0.86 (0.57-1.29) | 1.41 (0.96-2.07) | 1.21 (0.96-1.52) | .10 |
| Model 3 | 1 [Reference] | 0.86 (0.59-1.26) | 1.43 (0.98-2.07) | 1.22 (0.97-1.53) | .08 |
| CVD mortality | |||||
| Deaths/person-years | 25/5296 | 21/5512 | 18/5353 | NA | NA |
| Model 1 | 1 [Reference] | 0.83 (0.29-2.39) | 0.84 (0.31-2.24) | 0.90 (0.51-1.60) | .90 |
| Model 2 | 1 [Reference] | 0.73 (0.25-2.12) | 0.95 (0.40-2.27) | 0.94 (0.55-1.63) | .95 |
| Model 3 | 1 [Reference] | 0.74 (0.28-2.00) | 0.92 (0.41-2.08) | 0.93 (0.57-1.54) | .93 |
| Cancer mortality | |||||
| Deaths/person-years | 12/5296 | 16/5512 | 24/5353 | NA | NA |
| Model 1 | 1 [Reference] | 2.00 (1.00-3.98) | 3.26 (1.59-6.70) | 1.86 (1.29-2.69) | .003 |
| Model 2 | 1 [Reference] | 1.95 (0.89-4.29) | 4.02 (1.59-10.18) | 2.13 (1.25-3.63) | .009 |
| Model 3 | 1 [Reference] | 1.97 (0.91-4.28) | 4.09 (1.71-9.79) | 2.15 (1.29-2.56) | .006 |
Abbreviations: CVD, cardiovascular disease; HR, hazard ratio; NA, not applicable.
Model 1 was adjusted for age, sex, and race and ethnicity; model 2: model 1 plus education, family income status, smoking, alcohol drinking, physical activity, total energy intake, and healthy eating index 2010 score; model 3: model 2 plus body mass index.
Table 3. Stratified Analyses for the Association of Serum PBDE Levels With Cancer Mortalitya.
| Characteristic | Tertile 1 | Tertile 2 | Tertile 3 | P value for interaction | |||
|---|---|---|---|---|---|---|---|
| Deaths/person-years | HR (95% CI) | Deaths/person-years | HR (95% CI) | Deaths/person-years | HR (95% CI) | ||
| Age, y | |||||||
| <60 | 4/3961b | 1 [Reference] | 6/4531 | 0.96 (0.29-3.18) | 6/4335 | 1.22 (0.14-10.41) | .35 |
| ≥60 | 8/1336 | 1 [Reference] | 10/981 | 3.10 (0.93-10.34) | 18/1019 | 8.53 (1.83-39.80) | |
| Sex | |||||||
| Male | 6/2380 | 1 [Reference] | 11/2371 | 5.97 (1.81-19.67) | 15/2717 | 6.82 (2.72-17.11) | .89 |
| Female | 6/2916 | 1 [Reference] | 5/3141 | 1.41 (0.20-10.15) | 9/2637 | 4.85 (1.22-19.30) | |
| Race and ethnicity | |||||||
| White | 4/2842 | 1 [Reference] | 6/2522 | 2.54 (0.49-13.14) | 11/2587 | 4.60 (1.25-16.88) | .62 |
| Other race and ethnicity | 8/2454 | 1 [Reference] | 10/2990 | 0.85 (0.18-3.91) | 13/2767 | 1.32 (0.20-8.88) | |
| Diet qualityc | |||||||
| Lower | 4/2641 | 1 [Reference] | 9/3219 | 1.94 (0.44-8.52) | 12/2824 | 4.58 (1.28-16.35) | .92 |
| Higher | 8/2656 | 1 [Reference] | 7/2293 | 4.30 (0.81-22.76) | 12/2530 | 6.94 (2.07-23.29) | |
| Physical activityd | |||||||
| Lower | 5/3378 | 1 [Reference] | 11/3346 | 5.76 (1.37-24.30) | 15/3332 | 10.42 (2.61-41.55) | .10 |
| Higher | 7/1918 | 1 [Reference] | 5/2166 | 0.54 (0.10-2.94) | 9/2021 | 1.13 (0.34-3.77) | |
| Obesity | |||||||
| BMI <30 | 9/3546 | 1 [Reference] | 11/3470 | 2.43 (0.85-6.99) | 18/3549 | 3.90 (1.29-11.78) | .64 |
| BMI ≥30 | 3/1686 | 1 [Reference] | 5/1921 | 7.79 (0.63-97.69) | 5/1723 | 21.88 (1.88-255.4) | |
Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); PBDE, polybrominated diphenyl ether.
Adjusted for age, sex, race/ethnicity, education, family income status, smoking, alcohol drinking, physical activity, total energy intake, healthy eating index score, and BMI.
The number of events (deaths) per number of person-years at risk in each tertile of exposure.
Lower or higher diet quality was defined as the healthy eating index score less than the median score or greater than or equal to the median score, respectively.
Lower or higher physical activity level was defined as below or meeting the physical activity guidelines, respectively.
Individual congener analyses showed that higher 2,2’,4,4’-tetrabromophenyl ether (PBDE 47) exposure was associated with an increased risk of cancer mortality (HR, 3.21 [95% CI, 1.29-7.96]); and 2,2’,4,4’,6-pentabromophenyl (PBDE 100) was associated with all-cause mortality (HR, 1.60 [95% CI, 1.10-2.31]) and cancer mortality (HR, 3.81 [95% CI, 1.16-12.49]), comparing the highest tertile with the lowest tertile levels. Similarly, 2,2’,4,4’,5,5′-hexabromophenyl (PBDE 153) was associated with all-cause mortality (HR, 1.78 [95% CI, 1.16-2.73) and cancer mortality (HR, 4.12 [95% CI, 1.37-12.42]). The results are shown in the Figure and details are provided in (eTable 4 in Supplement 1). Sensitivity analyses restricting to individuals aged 40 years or older were consistent with the main analyses (eTable 5 in Supplement 1).
Figure. Association of Serum PBDE Congeners Levels With All-Cause and Cause-Specific Mortality.
CVD indicates cardiovascular disease; HR, hazard ratio; PBDE, polybrominated diphenyl ether.
Discussion
In this cohort study of a nationally representative sample, we found that PBDE exposure was significantly and positively associated with cancer mortality in adults. The association persisted after adjustment for demographics, socioeconomic status, dietary and lifestyle factors, and BMI. There was no significant association between PBDE exposure and all-cause mortality and CVD mortality.
To our knowledge, this is the first study examining the association of PBDE exposure with risk of cause-specific mortality in the general adult population from the US. One earlier study investigated the association between PBDE exposure and all-cause mortality. However, this study was conducted only among adults aged 60 years or older and did not include cancer and CVD mortality.25 Our findings about the positive association between PBDE exposure and cancer mortality align with previous studies showing that PBDE exposure was associated with an increased risk of cancer (eg, thyroid and breast cancer).18,26,27,28 However, some studies also reported that PBDE exposure was not associated with cancer risk.14,29 The inconsistent findings may be partly related to the study design. Due to the case-control study design, temporal relationship between PBDE exposure and cancer was unclear in most of those previous studies. In this scenario, PBDE levels were measured among participants after cancer diagnosis and treatment, which may not reflect PBDE exposure before the onset of cancer. In addition, cancer type and PBDE congeners that were studied may also contribute to the variations in the findings. In this study, we did not find an association between PBDE exposure and all-cause mortality, which may warrant confirmation in future research with larger sample size. However, individual congener analyses found that PBDE 100 and PBDE 153 were associated with all-cause mortality, which was consistent with findings from the only existing study that was conducted among adults aged 60 years or older.25
In vivo and in vitro studies support biological plausibility showing that PBDE exposure could promote cancer occurrence and progression.30 As endocrine-disrupting chemicals, PBDEs and their metabolites can bind to hormone receptors (ie, estrogen receptor), act as both agonists and antagonists, and then disrupt hormone homeostasis.1,2,31 This plays a role in the development and progression of endocrine tumors such as thyroid cancer.31 In addition, PBDEs were found to disrupt facets of genomic integrity and innate immunity in mammary tissue related to breast cancer,32 and be carcinogenic in human thyroid cells.33 A recent animal study found that the dosage of PBDE-47 was positively associated with tumor sizes,34 suggesting its effects on cancer development. Furthermore, a growing number of studies demonstrate that PBDEs could cause oxidative stress, DNA damage, and cell cycle dysregulation.1,35,36,37,38 All of these factors play a role in the development and progression of cancer.39,40
Our findings have major public health implications. Although PBDEs are mostly banned today under the Stockholm Convention on Persistent Organic Pollutants, their production and use are still ongoing in some regions.5 For example, only 13 states in the US have applied limitations on using PBDEs in certain goods, but no federal restrictions are in place.5 Despite great concerns, environmental authorities, such as the International Agency for Research on Cancer, the US Department of Health and Human Services, and the US Environmental Protection Agency, stated that there are difficulties in classifying PBDEs as human carcinogens due to the inadequate evidence of carcinogenicity in humans. The present study addresses this knowledge gap by finding an association between PBDEs and cancer mortality in adults from the general US population.
This study has several strengths. We used nationally representative data from the NHANES, which allows us to generalize our findings to a broader population. In addition, the abundant data from the NHANES, including comprehensive information about demographic, socioeconomic, anthropometric measures, and diet and lifestyle factors, provide the opportunity to adjust for various potential confounding factors.
Limitations
There are also limitations in this study. First, we could not determine the risk of mortality from specific cancer subtypes. Previous studies have reported a significant association between PBDE exposure and increased risk of thyroid and breast cancer.18,26,27,28 Therefore, additional studies are warranted to determine the associated risk of cancer mortality by subtypes. Second, the NHANES Linked Mortality File identified causes of death through linkage to the National Death Index, which is based on death certificates. Although this approach has been previously validated by the CDC and used in many CDC reports41,42,43 or other relevant literature, we cannot rule out the possibility of errors in classifying the cause of death. Third, cancer mortality in this study represents a composite outcome of death from various cancer types, because the publicly released mortality file provided by the CDC’s National Center for Health Statistics does not include information about death from specific cancer types. Survival rates vary substantially across types of cancer, therefore, future studies are warranted to determine the association of PBDE exposure with mortality from specific types of cancer. Additionally, although many potential confounders were adjusted for, there might still be residual confounding by unmeasured factors.
Conclusions
In this nationally representative cohort, PBDE exposure was significantly associated with an increased risk of cancer mortality. Further studies are needed to replicate the findings and determine the underlying mechanisms.
eFigure. Flow Chart
eTable 1. Characteristics of the Study Population (n=1,100)
eTable 2. Stratified Analyses for the Association of Serum PBDE Levels With All-Cause Mortality
eTable 3. Stratified Analyses for the Association of Serum PBDE Levels With CVD Mortality
eTable 4. Association of Serum PBDE Congeners Levels With All-Cause and Cause-Specific Mortality
eTable 5. Association of Serum PBDE Levels With All-Cause and Cause-Specific Mortality After Excluding Participants Younger Than 40 Years Old
Data Sharing Statement
References
- 1.Chain EPoCitF. Scientific Opinion on Polybrominated Diphenyl Ethers (PBDEs) in Food. EFSA J. 2011;9(5):2156. doi: 10.2903/j.efsa.2011.2156 [DOI] [Google Scholar]
- 2.ATSDR . Toxicological profile for polybrominated diphenyl ethers (PBDEs). 2017. [PubMed]
- 3.Linares V, Bellés M, Domingo JL. Human exposure to PBDE and critical evaluation of health hazards. Arch Toxicol. 2015;89(3):335-356. doi: 10.1007/s00204-015-1457-1 [DOI] [PubMed] [Google Scholar]
- 4.Wu Z, Han W, Yang X, Li Y, Wang Y. The occurrence of polybrominated diphenyl ether (PBDE) contamination in soil, water/sediment, and air. Environ Sci Pollut Res Int. 2019;26(23):23219-23241. doi: 10.1007/s11356-019-05768-w [DOI] [PubMed] [Google Scholar]
- 5.Sharkey M, Harrad S, Abou-Elwafa Abdallah M, Drage DS, Berresheim H. Phasing-out of legacy brominated flame retardants: the UNEP Stockholm Convention and other legislative action worldwide. Environ Int. 2020;144:106041. doi: 10.1016/j.envint.2020.106041 [DOI] [PubMed] [Google Scholar]
- 6.Frederiksen M, Vorkamp K, Thomsen M, Knudsen LE. Human internal and external exposure to PBDEs–a review of levels and sources. Int J Hyg Environ Health. 2009;212(2):109-134. doi: 10.1016/j.ijheh.2008.04.005 [DOI] [PubMed] [Google Scholar]
- 7.Su G, Liu X, Gao Z, et al. Dietary intake of polybrominated diphenyl ethers (PBDEs) and polychlorinated biphenyls (PCBs) from fish and meat by residents of Nanjing, China. Environ Int. 2012;42:138-143. doi: 10.1016/j.envint.2011.05.015 [DOI] [PubMed] [Google Scholar]
- 8.Domingo JL. Polybrominated diphenyl ethers in food and human dietary exposure: a review of the recent scientific literature. Food and chemical toxicology: an international journal published for the British Industrial Biological Research Association. 2012;50(2):238-49. doi: 10.1016/j.fct.2011.11.004 [DOI] [PubMed]
- 9.Sjödin A, Wong LY, Jones RS, et al. Serum concentrations of polybrominated diphenyl ethers (PBDEs) and polybrominated biphenyl (PBB) in the United States population: 2003-2004. Environ Sci Technol. 2008;42(4):1377-1384. doi: 10.1021/es702451p [DOI] [PubMed] [Google Scholar]
- 10.Sjödin A, Jones RS, Wong LY, Caudill SP, Calafat AM. Polybrominated Diphenyl Ethers and Biphenyl in Serum: Time Trend Study from the National Health and Nutrition Examination Survey for Years 2005/06 through 2013/14. Environ Sci Technol. 2019;53(10):6018-6024. doi: 10.1021/acs.est.9b00471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Allen JG, Gale S, Zoeller RT, Spengler JD, Birnbaum L, McNeely E. PBDE flame retardants, thyroid disease, and menopausal status in U.S. women. Environ Health. 2016;15(1):60. doi: 10.1186/s12940-016-0141-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lim JS, Lee DH, Jacobs DR Jr. Association of brominated flame retardants with diabetes and metabolic syndrome in the U.S. population, 2003-2004. Diabetes Care. 2008;31(9):1802-1807. doi: 10.2337/dc08-0850 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhang Z, Li S, Liu L, et al. Environmental exposure to BDE47 is associated with increased diabetes prevalence: evidence from community-based case-control studies and an animal experiment. Sci Rep. 2016;6:27854. doi: 10.1038/srep27854 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hardell L, Carlberg M, Hardell K, et al. Decreased survival in pancreatic cancer patients with high concentrations of organochlorines in adipose tissue. Biomed Pharmacother. 2007;61(10):659-664. doi: 10.1016/j.biopha.2007.04.006 [DOI] [PubMed] [Google Scholar]
- 15.Hardell K, Carlberg M, Hardell L, et al. Concentrations of organohalogen compounds and titres of antibodies to Epstein-Barr virus antigens and the risk for non-Hodgkin lymphoma. Oncol Rep. 2009;21(6):1567-1576. doi: 10.3892/or_00000389 [DOI] [PubMed] [Google Scholar]
- 16.Hurley S, Goldberg D, Park JS, et al. A breast cancer case-control study of polybrominated diphenyl ether (PBDE) serum levels among California women. Environ Int. 2019;127:412-419. doi: 10.1016/j.envint.2019.03.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Deziel NC, Alfonso-Garrido J, Warren JL, Huang H, Sjodin A, Zhang Y. Exposure to polybrominated diphenyl ethers and a polybrominated biphenyl and risk of thyroid cancer in women: single and multi-pollutant approaches. Cancer Epidemiol Biomarkers Prev. 2019;28(10):1755-1764. doi: 10.1158/1055-9965.EPI-19-0526 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Huang H, Sjodin A, Chen Y, et al. Polybrominated diphenyl ethers, polybrominated biphenyls, and risk of papillary thyroid cancer: a nested case-control study. Am J Epidemiol. 2020;189(2):120-132. doi: 10.1093/aje/kwz229 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.National Center for Health Statistics . The Linkage of National Center for Health Statistics Survey Data to the National Death Index — 2015 Linked Mortality File (LMF): Methodology Overview and Analytic Considerations. Accessed April 13, 2020. https://www.cdc.gov/nchs/data-linkage/mortality-methods.htm
- 20.Brämer GR. International statistical classification of diseases and related health problems. Tenth revision. World Health Stat Q. 1988;41(1):32-36. [PubMed] [Google Scholar]
- 21.Sun Y, Liu B, Snetselaar LG, et al. Association of normal-weight central obesity with all-cause and cause-specific mortality among postmenopausal women. JAMA Netw Open. 2019;2(7):e197337. doi: 10.1001/jamanetworkopen.2019.7337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sun Y, Liu B, Snetselaar LG, et al. Association of fried food consumption with all cause, cardiovascular, and cancer mortality: prospective cohort study. BMJ. 2019;364:k5420. doi: 10.1136/bmj.k5420 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Guenther PM, Casavale KO, Reedy J, et al. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013;113(4):569-580. doi: 10.1016/j.jand.2012.12.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Johnson CL, Paulose-Ram R, Ogden CL, et al. National health and nutrition examination survey: analytic guidelines, 1999-2010. Vital Health Stat 2. 2013;(161):1-24. [PubMed] [Google Scholar]
- 25.Fry K, Power MC. Persistent organic pollutants and mortality in the United States, NHANES 1999-2011. Environ Health. 2017;16(1):105. doi: 10.1186/s12940-017-0313-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Ding YC, Hurley S, Park JS, et al. Methylation biomarkers of polybrominated diphenyl ethers (PBDEs) and association with breast cancer risk at the time of menopause. Environ Int. 2021;156:106772. doi: 10.1016/j.envint.2021.106772 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.He Y, Peng L, Zhang W, et al. Adipose tissue levels of polybrominated diphenyl ethers and breast cancer risk in Chinese women: a case-control study. Environ Res. 2018;167:160-168. doi: 10.1016/j.envres.2018.07.009 [DOI] [PubMed] [Google Scholar]
- 28.Zhang Q, Hu M, Wu H, et al. Plasma polybrominated diphenyl ethers, urinary heavy metals and the risk of thyroid cancer: a case-control study in China. Environ Pollut. 2021;269:116162. doi: 10.1016/j.envpol.2020.116162 [DOI] [PubMed] [Google Scholar]
- 29.Aschebrook-Kilfoy B, DellaValle CT, Purdue M, et al. Polybrominated diphenyl ethers and thyroid cancer risk in the Prostate, Colorectal, Lung, and Ovarian Cancer Screening Trial cohort. Am J Epidemiol. 2015;181(11):883-888. doi: 10.1093/aje/kwu358 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dunnick JK, Pandiri AR, Merrick BA, et al. Carcinogenic activity of pentabrominated diphenyl ether mixture (DE-71) in rats and mice. Toxicol Rep. 2018;5:615-624. doi: 10.1016/j.toxrep.2018.05.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhang Y, Guo GL, Han X, et al. Do polybrominated diphenyl ethers (PBDEs) increase the risk of thyroid cancer? Biosci Hypotheses. 2008;1(4):195-199. doi: 10.1016/j.bihy.2008.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lamkin DM, Chen S, Bradshaw KP, et al. Low-dose exposure to PBDE disrupts genomic integrity and innate immunity in mammary tissue. Front Genet. 2022;13:904607. doi: 10.3389/fgene.2022.904607 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ullmann TM, Liang H, Mora H, et al. Exposure to polybrominated diphenyl ether flame retardants causes deoxyribonucleic acid damage in human thyroid cells in vitro. J Surg Res. 2022;279:77-83. doi: 10.1016/j.jss.2022.04.069 [DOI] [PubMed] [Google Scholar]
- 34.Wei J, Li X, Xiang L, et al. Metabolomics and lipidomics study unveils the impact of polybrominated diphenyl ether-47 on breast cancer mice. J Hazard Mater. 2020;390:121451. doi: 10.1016/j.jhazmat.2019.121451 [DOI] [PubMed] [Google Scholar]
- 35.Tang S, Liu H, Yin H, et al. Effect of 2, 2′, 4, 4′-tetrabromodiphenyl ether (BDE-47) and its metabolites on cell viability, oxidative stress, and apoptosis of HepG2. Chemosphere. 2018;193:978-988. doi: 10.1016/j.chemosphere.2017.11.107 [DOI] [PubMed] [Google Scholar]
- 36.Costa LG, Pellacani C, Dao K, Kavanagh TJ, Roque PJ. The brominated flame retardant BDE-47 causes oxidative stress and apoptotic cell death in vitro and in vivo in mice. Neurotoxicology. 2015;48:68-76. doi: 10.1016/j.neuro.2015.03.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Pereira LC, de Souza AO, Meireles G, et al. Comparative study of genotoxicity induced by six different PBDEs. Basic Clin Pharmacol Toxicol. 2016;119(4):396-404. doi: 10.1111/bcpt.12595 [DOI] [PubMed] [Google Scholar]
- 38.Pellacani C, Buschini A, Galati S, Mussi F, Franzoni S, Costa LG. Evaluation of DNA damage induced by 2 polybrominated diphenyl ether flame retardants (BDE-47 and BDE-209) in SK-N-MC cells. Int J Toxicol. 2012;31(4):372-379. doi: 10.1177/1091581812449663 [DOI] [PubMed] [Google Scholar]
- 39.Stewart ZA, Westfall MD, Pietenpol JA. Cell-cycle dysregulation and anticancer therapy. Trends Pharmacol Sci. 2003;24(3):139-145. doi: 10.1016/S0165-6147(03)00026-9 [DOI] [PubMed] [Google Scholar]
- 40.Sosa V, Moliné T, Somoza R, Paciucci R, Kondoh H, LLeonart ME. Oxidative stress and cancer: an overview. Ageing Res Rev. 2013;12(1):376-390. doi: 10.1016/j.arr.2012.10.004 [DOI] [PubMed] [Google Scholar]
- 41.Heron M. Deaths: leading causes for 2015. Natl Vital Stat Rep. 2017;66(5):1-76. [PubMed] [Google Scholar]
- 42.García MC, Bastian B, Rossen LM, et al. Potentially preventable deaths among the five leading causes of death - United States, 2010 and 2014. MMWR Morb Mortal Wkly Rep. 2016;65(45):1245-1255. doi: 10.15585/mmwr.mm6545a1 [DOI] [PubMed] [Google Scholar]
- 43.Moy E, Garcia MC, Bastian B, et al. Leading causes of death in nonmetropolitan and metropolitan areas- United States, 1999-2014. MMWR Surveill Summ. 2017;66(1):1-8. doi: 10.15585/mmwr.ss6601a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eFigure. Flow Chart
eTable 1. Characteristics of the Study Population (n=1,100)
eTable 2. Stratified Analyses for the Association of Serum PBDE Levels With All-Cause Mortality
eTable 3. Stratified Analyses for the Association of Serum PBDE Levels With CVD Mortality
eTable 4. Association of Serum PBDE Congeners Levels With All-Cause and Cause-Specific Mortality
eTable 5. Association of Serum PBDE Levels With All-Cause and Cause-Specific Mortality After Excluding Participants Younger Than 40 Years Old
Data Sharing Statement

