Abstract
This data article presents mean serum concentrations (wet weight and lipid standardized) of 32 persistent organic pollutants (POPs) detected in >75% of participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study across levels of POPs scores, and their corresponding coefficients of determination. POPs scores were calculated as: A) the sum of each participant's log-transformed POPs concentrations (∑ of log Pops], or B) as the sum of the participants' log-transformed concentrations of each POP divided by the groups' standard deviation of the corresponding log-transformed POP (POPs summary score. Scores were calculated for both wet weight and lipid standardized concentrations and for all 32 POPs and for PCBs and organochlorine pesticides separately. POPs summary scores analyses were used in the article “Organochlorine pesticides and polychlorinated biphenyls (PCBs) in early adulthood and blood lipids over a 23-year follow-up” [Suarez-Lopez et al., 2018].
Specifications table
| Subject area | Public Health |
| More specific subject area | Environmental Health |
| Type of data | Tables |
| How data was acquired | Gas chromatography isotope dilution high-resolution mass spectrometry |
| Data format | Analyzed data |
| Experimental factors | Cross-sectional analyses |
| Experimental features | Median concentrations (wet-weights and lipid standardized) of 32 persistent organic pollutants across categories of persistent organic pollutant scores and their corresponding coefficients of determination. |
| Data source location | United States of America: Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA |
| Data accessibility | Data is in the article |
| Related research article | J.R. Suarez-Lopez, C.G. Clemesha, M. Porta, M.D. Gross, D.—H. Lee, Organochlorine pesticides and polychlorinated biphenyls (PCBs) in early adulthood and blood lipids over a 23-year follow-up, Environ. Toxicol. Pharmacol. (2018)[1]. |
Value of the data
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1. Data
Data is presented in 6 tables providing information on wet weight concentrations and lipid-standardized concentrations (median, 25th – 75th percentile, p for trend and R2) of persistent organic pollutants (POPs) in serum across quartiles of various POPs summary variables including 32 POP summary score, 8 organochlorine pesticide (OCP) summary score, 23 polychlorinated biphenyl (PCB) summary score, and sum of 32 log-transformed POPs based on both wet-weight and lipid standardized values.
2. Experimental design, materials and methods
2.1. Participants
POPs in serum were measured in samples collected in 1985–1986 (year-2 of follow-up) of 180 men and women from a nested case-control study within the Coronary Artery Risk Development in Young Adults (CARDIA) study [1], [2], [3]. Participants with diabetes (cases) consisted of 50% of participants (n = 90). However, cases must not have been diagnosed with diabetes during at year 0 or 2 of follow-up. The remaining 90 participants were frequency matched to cases on body mass index (BMI) and were randomly selected from those who had fasting glucose levels below 100 mg/dL at follow-up years 0, 7, 10, 15, and 20, had not been diagnosed with diabetes before year 20 of follow-up, and were not receiving glucose-lowering medications. Additional details of recruitment and participant selection been described in detail [1], [3].
2.2. Measurements
POPs concentrations of serum samples collected in year 2 of follow-up were measured using solid-phase extraction and final determination using gas chromatography isotope dilution high-resolution mass spectrometry [4], [5]. Nine OCPs, 35 PCB congeners, 10 polybrominated diphenyl ether (PBDE) congeners, and 1 polybrominated biphenyl (PBB) congener were measured. Of these, 32 POPs that were detected in at least 75% of participants (8 OCPs, 23 PCBs, and PBB-153, Table. 1) were included in the present article. Non-detectable concentrations were replaced with 50% of the detection limit.
Table 1.
Median (25th, 75th percentile) wet weight concentrations (pg/g) in serum across quartiles of 32 POP summary score. This list includes 32 POPs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| All | Quartiles of 32 POP summary score |
P-trend | R2 | ||||
|---|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | ||||
| Organochlorine pesticides | |||||||
| Hexachlorobenzene | 154.1 (116.6–198.9) | 112.3 (95, 151.6) | 151.2 (115.9, 202.9) | 161.1 (136.8, 203.7) | 185.1 (149.4, 224.6) | <0.001 | 0.13 |
| Mirex | 24.0 (13.1–44.2) | 13.2 (6.6, 21.9) | 20.4 (7.2, 31) | 29.8 (15.8, 49.7) | 35.5 (22.8, 99.6) | <0.001 | 0.09 |
| Oxychlordane | 158.1 (116.4–209.7) | 103.7 (82, 131.2) | 135.8 (116.3, 164.6) | 181.9 (152.5, 208.2) | 237.6 (192.5, 337.1) | <0.001 | 0.56 |
| p,p’-DDE | 3478 (2357–5586) | 1682 (1134, 2636) | 3834 (2832, 5134) | 3520 (2802, 5260) | 6249 (3826, 9799) | <0.001 | 0.24 |
| p,p’-DDT | 132.7 (89.8–203.7) | 90.9 (76.4, 130.2) | 135.9 (96.3, 208.9) | 136.3 (88.4, 185.6) | 176.9 (124.5, 279.5) | <0.001 | 0.16 |
| Trans-nonachlor | 183.5 (127.5–263.8) | 101.7 (82.1, 137.8) | 156.8 (128.4, 197.9) | 222.7 (167, 264.3) | 316.9 (233.7, 481.8) | <0.001 | 0.47 |
| β-hexachlorocyclohexane | 69.5 (49.4–96.2) | 45.8 (30.9, 58.2) | 65.3 (50.2, 80.1) | 77.1 (57.4, 98.9) | 97.0 (75.7, 137.5) | <0.001 | 0.33 |
| Λ-hexachlorocyclohexane | 44.5 (18.1–121) | 20.6 (16.4, 67.1) | 57.1 (17.2, 160.4) | 56.3 (23.7, 88.8) | 58.8 (33.4, 208.4) | 0.118 | 0.01 |
| PCBs | |||||||
| PCB74a | 92.4 (62–145.3) | 60.2 (44.3, 77.2) | 91.6 (69.5, 119.2) | 105.2 (68.2, 154.0) | 144.1 (114.7, 183.5) | <0.001 | 0.39 |
| PCB87 | 6.8 (3.5–10.2) | 4.2 (2.2, 6.1) | 6.7 (3.0, 8.5) | 7.0 (5.0, 8.7) | 11.5 (7.1, 15.1) | <0.001 | 0.22 |
| PCB99 | 90.9 (60.5–136.7) | 49.0 (37.8, 65.6) | 85.2 (66.4, 115.3) | 94.1 (80, 115.2) | 160.0 (134.6, 218.6) | <0.001 | 0.56 |
| PCB105a | 29.8 (20.4–45.8) | 17.6 (11.7, 27.1) | 30.6 (21.9, 40.1) | 28.6 (20.5, 42.3) | 48.5 (36.5, 60.2) | <0.001 | 0.32 |
| PCB118a | 138 (92.4–212.9) | 87.8 (58.1, 113.7) | 146 (108.6, 185.6) | 138.1 (108.7, 211.3) | 231.5 (188.2, 282.0) | <0.001 | 0.39 |
| PCB146 | 37.7 (25.2–61.1) | 19.1 (13.2, 21.3) | 33.4 (27.5, 38.2) | 48.3 (37, 56.3) | 83.5 (63.5, 109.6) | <0.001 | 0.61 |
| PCB153 | 330.9 (220.8–496.8) | 176.1 (146.3, 199.1) | 290.9 (265.8, 328.9) | 388.9 (351, 448.5) | 628.0 (539.2, 783.4) | <0.001 | 0.72 |
| PCB156a | 42.5 (27.7–60.4) | 23.1 (18.3, 27.7) | 35.6 (27.6, 43.8) | 48.6 (41.8, 59) | 74.5 (60.9, 109.9) | <0.001 | 0.62 |
| PCB157a | 10.7 (7.1–15.4) | 6.1 (4.8, 6.9) | 8.5 (7.1, 11.7) | 13.2 (10.1, 15.5) | 18.8 (14.9, 25.8) | <0.001 | 0.62 |
| PCB138-158 | 253.8 (187.6–362.7) | 135.4 (106.8, 162.5) | 224.3 (202.9, 266) | 273.3 (253.4, 334.4) | 468.9 (387.1, 592.7) | <0.001 | 0.67 |
| PCB167a | 13.5 (8.9–19.5) | 7.3 (5.9, 8.6) | 12.4 (9.4, 14) | 15.3 (13.5, 18.9) | 25.4 (19.1, 33) | <0.001 | 0.54 |
| PCB170 | 77.8 (57.2–123.8) | 41.5 (33.6, 49.4) | 66.8 (59.1, 76.4) | 96.8 (85.3, 110.5) | 153.4 (130.3, 195.7) | <0.001 | 0.75 |
| PCB177 | 19.6 (13.2–29.7) | 9.1 (7.8, 11.5) | 16.9 (15.3, 19.8) | 22.2 (19.7, 25.1) | 42.2 (32.9, 53.5) | <0.001 | 0.68 |
| PCB178 | 13.8 (9.7–22.3) | 6.7 (5.1, 8.9) | 11.6 (9.8, 12.9) | 16.3 (14.8, 21.7) | 32.7 (23.1, 42.6) | <0.001 | 0.67 |
| PCB180 | 205.1 (141.3–323.6) | 105.8 (83.4, 128.2) | 169.4 (144.5, 191.9) | 244.1 (225.4, 299.7) | 379.4 (334.1, 481) | <0.001 | 0.75 |
| PCB183 | 30.9 (21.1–44.6) | 16.5 (12.4, 18.7) | 29.1 (23.9, 31.2) | 36.3 (30.9, 40) | 62.5 (48.3, 76.2) | <0.001 | 0.72 |
| PCB187 | 74.4 (50.0–113.1) | 34.8 (29.1, 45.2) | 61.9 (52.9, 70.6) | 86.4 (76.5, 109.2) | 161.5 (115.2, 216.3) | <0.001 | 0.67 |
| PCB194 | 41.3 (27.3–65.9) | 20.4 (15.2, 25.9) | 32.8 (27.9, 45.4) | 50.6 (40.4, 64.7) | 83.4 (66.4, 104.8) | <0.001 | 0.64 |
| PCB195 | 11.5 (7.6–17.0) | 5.8 (4.1, 6.7) | 9.3 (7.9, 11.3) | 13.1 (11.7, 15.5) | 23.0 (18.0, 28.3) | <0.001 | 0.73 |
| PCB199 | 44.4 (28.6–68.2) | 23.3 (15.4, 28.6) | 32.6 (28.6, 43.1) | 50.6 (45.0, 66.7) | 82.1 (68.3, 111.2) | <0.001 | 0.60 |
| PCB196-203 | 47.5 (32.2–73.7) | 24.6 (19, 29.9) | 37.1 (33.2, 44.4) | 54.3 (49.4, 67.0) | 92.2 (75.8, 106.3) | <0.001 | 0.69 |
| PCB206 | 23.0 (16.0–36.0) | 13.0 (9.7, 17.0) | 19.0 (15.5, 23.5) | 28.0 (22.0, 36.0) | 40.5 (34.5, 56.0) | <0.001 | 0.47 |
| PCB209a | 9.1 (6.0–14.7) | 5.0 (3.8, 6.7) | 6.9 (5.8, 9.4) | 11.1 (8.4, 14.1) | 17.7 (13.6, 23.2) | <0.001 | 0.47 |
| PBBs | |||||||
| PBB153 | 16.6 (10.9–24.2) | 10.4 (6.6, 13.3) | 12.5 (10.2, 22.4) | 20.7 (15.8, 27.3) | 21.4 (17, 28.8) | 0.028 | 0.03 |
Dioxin-like PCBs.
Total cholesterol, and triglyceride concentrations were measured using an enzymatic assay. HDL concentrations were measured via precipitation using dextran sulfate-magnesium chloride on the ABA 200 Biochromatic device. LDL concentrations were calculated using the Friedewald equation [6]. Oxidized LDL concentrations were measured using a monoclonal antibody mAb-4E6–based competition ELISA (Mercodia, Uppsala, Sweden).
2.3. POPs scores and analysis
This article presents median POPs concentrations in serum across categories of POPs composite variables. Composite variables are used because the general population is exposed to a mixture of many POPs [7], and such variables substantially reduce the number of associations tested, thus reducing the potential for spurious findings. First, we created a summary score which consisted of the sum of log-transformed POPs concentrations for each individual (∑ of 32 log POPs). Then we created composite POPs variables that would not be heavily influenced by the most prevalent POPs, considering that the 8 most prevalent POPs had 25.6 times the concentration than the 8 least prevalent in our study. This “32 POP summary score” was defined as the sum of the participants' log-transformed concentrations of each of the 32 POPs divided by the groups’ standard deviation of the corresponding log-transformed POP (Σ[logPOPindividual/logPOP standard deviationgroup]). We created similar summary variables for 8 organochlorine pesticides (8 OCP summary score), and 23 PCBs (23 PCB summary score); summary variables were created for both wet weight and lipid standardized (POP concentration/total blood lipids) concentrations.
Table 1, Table 2, Table 3, Table 4, Table 5, Table 6 present the median and interquartile range of concentrations of each POP across quartiles of each of the POPs composite scores. Using linear regression, we calculated the p-trend for the associations between each POP concentration and POP composite score using continuous variables. We also calculated the coefficient of determination (R2, Pearson correlation) for each association.
Table 2.
POPs median (25th, 75th percentile) lipid-standardized concentrations (pg/g) in serum across quartiles of 32 POP summary score (lipid standardized). This list includes 32 POPs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| All | Quartiles of 32 POP summary score |
P-trend | R2 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | ||||||
| Organochlorine pesticides | |||||||||
| Hexachlorobenzene | 30.0 (23.8, 38.7) | 26.3 (20.8, 30.4) | 30.7 (22.4, 41.4) | 31.1 (26.4, 38.1) | 33.5 (25.7, 42.3) | 0.001 | 0.06 | ||
| Mirex | 4.6 (2.3, 9.2) | 2.3 (1.4, 4.4) | 4.7 (3.0, 8.1) | 4.6 (2.5, 8.1) | 8.1 (4.4, 12.1) | 0.001 | 0.06 | ||
| Oxychlordane | 31.5 (24.5, 40.9) | 22.2 (18.7, 28.4) | 29.1 (23.7, 31.6) | 37.0 (30.5, 42.2) | 43.3 (37.5, 50.9) | <0.001 | 0.46 | ||
| p,p’-DDE | 723.3 (455.8, 1150.4) | 434.5 (240.1, 580.9) | 641.5 (462.9, 886.9) | 923.6 (555.6, 1436.7) | 955.7 (752.8, 1566.8) | <0.001 | 0.18 | ||
| p,p’-DDT | 26.1 (19.6, 38.7) | 21.1 (14.8, 28.7) | 25.9 (20.1, 38.5) | 27.0 (20.1, 45.7) | 28.1 (21.6, 50.1) | <0.001 | 0.10 | ||
| Trans-nonachlor | 36.7 (26.5, 50.6) | 22.9 (19.3, 30) | 32.2 (26.5, 39.9) | 43.3 (33.5, 49.7) | 58.6 (43.6, 72.1) | <0.001 | 0.37 | ||
| β-hexachlorocyclohexane | 13.7 (9.9, 18.4) | 9.9 (7.0, 13.7) | 11.9 (9.8, 14.9) | 14.9 (12.0, 21.3) | 18.1 (15.5, 25.9) | <0.001 | 0.26 | ||
| Λ-hexachlorocyclohexane | 8.9 (3.7, 24.4) | 5.4 (3.4, 14.1) | 9.5 (3.5, 25.7) | 10.1 (4.1, 18.2) | 10.6 (5.0, 40.6) | 0.258 | 0.01 | ||
| PCBs | |||||||||
| PCB74 | 3.1 (1.4, 4.6) | 2.8 (1.4, 4) | 2.7 (1.3, 4.9) | 3.0 (1.4, 5.5) | 3.8 (2.1, 5.3) | <0.001 | 0.11 | ||
| PCB87 | 0.8 (0.5, 1.3) | 0.6 (0.5, 1.1) | 0.9 (0.5, 1.6) | 0.9 (0.5, 1.3) | 0.8 (0.5, 1.7) | 0.003 | 0.05 | ||
| PCB99 | 1.3 (0.8, 2.0) | 0.9 (0.5, 1.4) | 1.3 (0.8, 1.9) | 1.6 (0.8, 2.0) | 1.6 (1.1, 2.7) | <0.001 | 0.16 | ||
| PCB105 | 0.6 (0.3, 1.1) | 0.3 (0.3, 0.6) | 0.6 (0.3, 0.9) | 0.7 (0.3, 1.0) | 1.2 (0.6, 1.9) | <0.001 | 0.23 | ||
| PCB118 | 6.2 (3.8, 8.6) | 4.6 (2.7, 6.3) | 5.6 (3.4, 8.1) | 6.8 (4.3, 9.0) | 8.3 (6, 11.4) | <0.001 | 0.30 | ||
| PCB146 | 67.7 (46.4, 92.2) | 38.7 (32.0, 41.6) | 57.3 (51.7, 66.5) | 76.7 (68.2, 88.7) | 118.5 (95.1, 143.1) | <0.001 | 0.79 | ||
| PCB153 | 49.5 (37.2, 72.7) | 27.9 (23.9, 37.2) | 45.2 (37.5, 49.6) | 55.9 (48.9, 63.5) | 85.6 (73.0, 111.6) | <0.001 | 0.73 | ||
| PCB156 | 2.0 (1.4, 3.1) | 1.2 (1.0, 1.5) | 1.7 (1.4, 2.2) | 2.2 (2.0, 3.2) | 3.8 (2.7, 4.3) | <0.001 | 0.59 | ||
| PCB157 | 2.9 (1.9, 4.4) | 1.5 (1.1, 1.8) | 2.3 (2.0, 2.8) | 3.2 (2.9, 4.3) | 5.5 (4.4, 7.9) | <0.001 | 0.70 | ||
| PCB138-158 | 0.6 (0.3, 1.5) | 0.3 (0.3, 0.8) | 0.9 (0.3, 1.6) | 0.7 (0.3, 1.4) | 1.5 (0.3, 2.2) | <0.001 | 0.11 | ||
| PCB167 | 8.2 (5.8, 12.1) | 4.8 (4.1, 6.4) | 6.8 (5.7, 8.4) | 9.2 (8.0, 12.1) | 14.0 (11.4, 16.6) | <0.001 | 0.58 | ||
| PCB170 | 0.4 (0.3, 0.8) | 0.3 (0.2, 0.4) | 0.4 (0.3, 0.6) | 0.6 (0.3, 0.9) | 1.0 (0.7, 1.3) | <0.001 | 0.41 | ||
| PCB177 | 1.6 (0.3, 2.8) | 0.4 (0.3, 1.2) | 1.4 (0.2, 1.8) | 2.2 (0.3, 2.6) | 3.6 (3.0, 5.1) | <0.001 | 0.52 | ||
| PCB178 | 14.7 (9.8, 21.4) | 7.5 (6.2, 8.8) | 12.6 (11.1, 15) | 18.0 (14.8, 20.9) | 29.0 (22.8, 36.4) | <0.001 | 0.72 | ||
| PCB180 | 15.8 (11.5, 23.4) | 8.7 (7.8, 10.6) | 14.0 (12.2, 15.1) | 19.8 (16.2, 23.6) | 28.6 (23.4, 34.7) | <0.001 | 0.75 | ||
| PCB183 | 3.8 (2.8, 5.7) | 2.0 (1.6, 2.4) | 3.4 (3.0, 3.8) | 4.7 (3.8, 5.6) | 7.5 (5.3, 8.7) | <0.001 | 0.71 | ||
| PCB187 | 6.1 (4.5, 8.8) | 3.5 (2.9, 4.1) | 5.5 (4.8, 6.3) | 7.0 (5.8, 8.5) | 10.7 (9.4, 13.4) | <0.001 | 0.77 | ||
| PCB194 | 4.6 (3.3, 6.9) | 2.8 (2.2, 3.4) | 4.1 (3.1, 5.4) | 5.4 (4.2, 7.0) | 7.8 (5.8, 9.9) | <0.001 | 0.4 | ||
| PCB195 | 8.4 (5.7, 12.0) | 4.4 (3.6, 5.6) | 7.5 (5.7, 9.2) | 9.3 (7.6, 13.2) | 14.5 (11.4, 19.4) | <0.001 | 0.59 | ||
| PCB199 | 9.6 (6.5, 13.4) | 5.2 (4.7, 6.3) | 8.2 (7.0, 9.6) | 11.1 (9.6, 12.8) | 14.9 (13.5, 21.0) | <0.001 | 0.67 | ||
| PCB196-203 | 2.3 (1.5, 3.3) | 1.2 (0.9, 1.5) | 1.8 (1.6, 2.3) | 2.6 (2.3, 3.3) | 3.8 (3.4, 4.9) | <0.001 | 0.72 | ||
| PCB206 | 1.8 (1.2, 2.7) | 1.1 (0.8, 1.3) | 1.5 (1.1, 2.0) | 2.1 (1.7, 3.0) | 3.0 (2.5, 4.0) | <0.001 | 0.38 | ||
| PCB209 | 0.28 (0.23, 0.32) | 0.28 (0.24, 0.33) | 0.26 (0.23, 0.32) | 0.29 (0.24, 0.32) | 0.26 (0.22, 0.31) | 0.751 | 0.00 | ||
| PBBs | |||||||||
| PBB153 | 3.1 (2.2, 4.8) | 2.2 (1.6, 3.2) | 2.7 (2.0, 3.9) | 4.1 (3, 5.8) | 3.9 (2.8, 5.5) | 0.04 | 0.02 | ||
Table 3.
POPs median (25th, 75th percentile) wet-weight concentrations (pg/g) in serum across quartiles of ∑ of 32 log POPs (based on wet weight concentrations). This list includes 32 POPs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| Quartiles of ∑ of 32 log POPs (wet weight concentrations) |
P-trend | R2 | ||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | |||
| Organochlorine pesticides | ||||||
| Hexachlorobenzene | 112.3 (95.0, 151.6) | 152.6 (119.4, 206.4) | 159.2 (134.8, 203.7) | 171.0 (149.4, 222.4) | <0.001 | 0.13 |
| Mirex | 13.2 (6.5, 21.9) | 19.4 (7.2, 31.0) | 30.1 (15.8, 44.3) | 42.5 (22.8, 100.0) | <0.001 | 0.10 |
| Oxychlordane | 103.7 (82, 131.2) | 139.4 (116.3, 164.6) | 181.9 (155.2, 208.2) | 237.6 (192.5, 337.1) | <0.001 | 0.54 |
| p,p’-DDE | 1682 (1134, 2636) | 3764 (2632, 5063) | 3538 (2902, 5611) | 6249 (4025, 9799) | <0.001 | 0.25 |
| p,p’-DDT | 90.9 (76.4, 130.2) | 128.1 (93.9, 204.8) | 142.3 (94.1, 185.6) | 176.9 (124.5, 279.6) | <0.001 | 0.16 |
| Trans-nonachlor | 101.7 (82.1, 137.8) | 156.8 (128.4, 197.9) | 220.4 (167, 256.4) | 316.9 (239.5, 481.8) | <0.001 | 0.47 |
| β-hexachlorocyclohexane | 45.79 (30.91, 58.22) | 65.3 (50.17, 80.31) | 76.89 (62.08, 98.85) | 96.99 (75.67, 137.49) | <0.001 | 0.33 |
| Λ-hexachlorocyclohexane | 20.6 (16.4, 67.1) | 40.2 (15.4, 160.3) | 57.3 (29.2, 88.8) | 65.5 (33.4, 211.6) | 0.04 | 0.02 |
| PCBs | ||||||
| PCB74 | 60.2 (44.3, 77.2) | 91.9 (73.2, 124.5) | 105.2 (68.2, 154) | 144.1 (114.7, 183.5) | <0.001 | 0.36 |
| PCB87 | 4.2 (2.15, 6.1) | 6.5 (1.4, 8.3) | 7.3 (5.7, 9) | 11.2 (6.3, 15.1) | <0.001 | 0.22 |
| PCB99 | 49.0 (37.8, 65.6) | 85.2 (66.4, 111.8) | 95.8 (80.4, 122.9) | 160.0 (134.6, 218.6) | <0.001 | 0.54 |
| PCB105 | 17.6 (11.7, 27.1) | 28.8 (21.9, 40.9) | 31.5 (20.7, 42.3) | 48.5 (35.1, 60.2) | <0.001 | 0.3 |
| PCB118 | 87.8 (58.1, 113.7) | 143.8 (108.6, 185.6) | 144.4 (108.7, 211.3) | 231.5 (188.2, 282) | <0.001 | 0.37 |
| PCB146 | 19.1 (13.2, 21.3) | 33.4 (27.5, 38.7) | 48.3 (36.7, 55.8) | 83.5 (63.8, 109.6) | <0.001 | 0.59 |
| PCB153 | 176.1 (146.3, 199.1) | 290.9 (265.8, 329.5) | 388.9 (345.8, 461.7) | 628.0 (539.2, 783.4) | <0.001 | 0.71 |
| PCB156 | 23.1 (18.3, 27.7) | 36.2 (28.3, 46) | 48.6 (40.8, 59) | 74.5 (58.6, 109.9) | <0.001 | 0.6 |
| PCB157 | 6.1 (4.8, 6.9) | 8.5 (7.2, 11.8) | 12.0 (9.7, 15.5) | 18.8 (14.6, 25.8) | <0.001 | 0.6 |
| PCB138-158 | 135.4 (106.8, 162.5) | 227.1 (202.9, 267.5) | 273.3 (253.4, 335.8) | 468.9 (387.1, 592.7) | <0.001 | 0.66 |
| PCB167 | 7.3 (5.9, 8.6) | 12.4 (9.4, 14.4) | 15.4 (13, 18.9) | 25.4 (19.1, 33) | <0.001 | 0.52 |
| PCB170 | 41.5 (33.6, 49.4) | 67.6 (59.9, 76.8) | 96.8 (85.2, 110.5) | 153.4 (130.6, 195.7) | <0.001 | 0.74 |
| PCB177 | 9.1 (7.8, 11.5) | 16.8 (15.2, 19.8) | 22.2 (19.7, 24.7) | 42.2 (32.9, 53.5) | <0.001 | 0.67 |
| PCB178 | 6.7 (5.1, 8.9) | 11.7 (9.8, 13.5) | 16.0 (14.0, 21.5) | 32.7 (23.6, 42.6) | <0.001 | 0.66 |
| PCB180 | 105.8 (83.4, 128.2) | 171.5 (148.0, 203.3) | 244.0 (212.6, 299.7) | 379.4 (339.8, 481) | <0.001 | 0.74 |
| PCB183 | 16.5 (12.4, 18.7) | 28.5 (23.9, 30.8) | 36.3 (31.0, 41.5) | 62.5 (48.3, 76.2) | <0.001 | 0.72 |
| PCB187 | 34.8 (29.1, 45.2) | 61.9 (52.9, 74.9) | 85.4 (73.8, 108.6) | 161.5 (116.3, 216.3) | <0.001 | 0.66 |
| PCB194 | 20.4 (15.2, 25.9) | 34.1 (27.9, 46.1) | 47.9 (39.9, 61.5) | 83.4 (66.4, 104.8) | <0.001 | 0.63 |
| PCB195 | 5.8 (4.1, 6.7) | 9.5 (8.3, 11.4) | 12.9 (11.4, 15.2) | 23.0 (18.1, 28.3) | <0.001 | 0.72 |
| PCB199 | 23.3 (15.4, 28.6) | 35.8 (28.6, 44.7) | 48.7 (44.2, 65.4) | 82.1 (69.7, 111.2) | <0.001 | 0.6 |
| PCB196-203 | 24.6 (19, 29.9) | 37.1 (33.2, 47.3) | 53.5 (47.6, 62.4) | 92.2 (76.9, 106.3) | <0.001 | 0.69 |
| PCB206 | 13.0 (9.7, 17.0) | 19.5 (16.0, 24.5) | 27.0 (21.0, 34.0) | 40.5 (35.0, 56.0) | <0.001 | 0.47 |
| PCB209 | 5.0 (3.8, 6.7) | 7.2 (5.8, 9.7) | 11.0 (8.1, 13.8) | 17.8 (13.7, 23.2) | <0.001 | 0.47 |
| PBBs | ||||||
| PBB153 | 10.4 (6.6, 13.3) | 12.8 (10.2, 22.4) | 20.7 (15.8, 27.3) | 22.4 (17, 28.8) | 0.03 | 0.03 |
Table 4.
POPs median (25th, 75th percentile) lipid-standardized concentrations (pg/g) in serum across quartiles of ∑ of 32 log POPs (based on lipid-standardized concentrations). This list includes 32 POPs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| Quartiles of ∑ of 32 log POPs (lipid standardized concentrations) |
P-trend | R-square | ||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | |||
| Organochlorine pesticides | ||||||
| Hexachlorobenzene | 26.3 (20.8, 30.4) | 30.4 (22.4, 37) | 32.4 (26.9, 43.5) | 33.2 (25.7, 42) | 0.001 | 0.06 |
| Mirex | 2.3 (1.4, 4.2) | 5.2 (3, 8.9) | 4.5 (1.8, 8) | 8.7 (4.7, 16.3) | <0.001 | 0.07 |
| Oxychlordane | 23.3 (18.7, 28.5) | 28.2 (23.7, 32.5) | 35.9 (29.3, 41.8) | 42.8 (37.5, 50.9) | <0.001 | 0.42 |
| P,p’-DDE | 405.1 (240.1, 564.6) | 662.4 (477.6, 886.9) | 959.9 (555.6, 1458.0) | 923.6 (752.8, 1566.8) | <0.001 | 0.20 |
| P,p’-DDT | 21.6 (14.8, 28.7) | 24.5 (19.6, 37.5) | 27 (20.1, 38.5) | 31.4 (22.0, 51.2) | <0.001 | 0.11 |
| Trans-nonachlor | 23.6 (19.3, 30.0) | 33.4 (25.6, 43) | 40.6 (32.5, 49.7) | 58.6 (43.6, 72.1) | <0.001 | 0.35 |
| β-hexachlorocyclohexane | 9.3 (6.6, 13.8) | 12.3 (10.4, 14.8) | 14.9 (11.2, 21.3) | 17.8 (15.1, 25.9) | <0.001 | 0.27 |
| Λ-hexachlorocyclohexane | 4.5 (3.3, 11.2) | 7.9 (3.4, 17.3) | 11.9 (4.5, 34) | 12.2 (5.9, 41.9) | 0.061 | 0.02 |
| PCBs | ||||||
| PCB74 | 2.4 (1.4, 4) | 2.9 (1.5, 4.9) | 3.0 (1.4, 4.4) | 3.8 (1.6, 5.3) | <0.001 | 0.11 |
| PCB87 | 0.6 (0.4, 1.1) | 0.9 (0.5, 1.2) | 0.9 (0.5, 1.5) | 0.8 (0.5, 1.7) | 0.002 | 0.05 |
| PCB99 | 0.9 (0.5, 1.4) | 1.3 (0.8, 1.9) | 1.6 (0.9, 2.1) | 1.6 (1.1, 2.7) | <0.001 | 0.16 |
| PCB105 | 0.3 (0.3, 0.6) | 0.5 (0.3, 0.9) | 0.6 (0.3, 1.0) | 1.2 (0.7, 1.9) | <0.001 | 0.24 |
| PCB118 | 4.1 (2.7, 6.3) | 5.8 (3.4, 8.1) | 7.3 (4.4, 9.0) | 7.7 (5.8, 11.4) | <0.001 | 0.30 |
| PCB146 | 38.7 (32.0, 41.6) | 55.8 (51.7, 64.8) | 76.5 (68.2, 88.7) | 118.5 (92.8, 143.1) | <0.001 | 0.77 |
| PCB153 | 27.9 (23.9, 36.8) | 43.3 (38.5, 48.9) | 59.3 (50.6, 71.3) | 85.5 (72.4, 111.6) | <0.001 | 0.72 |
| PCB156 | 1.2 (1.0, 1.5) | 1.7 (1.4, 2.2) | 2.2 (1.9, 3.2) | 3.7 (2.6, 4.3) | <0.001 | 0.55 |
| PCB157 | 1.5 (1.1, 1.8) | 2.4 (2.1, 3.0) | 3.2 (2.8, 4.3) | 5.5 (4.4, 7.9) | <0.001 | 0.68 |
| PCB138-158 | 0.3 (0.3, 0.8) | 0.8 (0.3, 1.4) | 0.7 (0.3, 1.4) | 1.5 (0.3, 2.2) | <0.001 | 0.11 |
| PCB167 | 4.8 (4.1, 6.4) | 6.8 (5.7, 8.6) | 9.5 (7.9, 12.2) | 13.8 (11.3, 16.6) | <0.001 | 0.55 |
| PCB170 | 0.3 (0.2, 0.4) | 0.4 (0.3, 0.6) | 0.6 (0.3, 0.9) | 1.0 (0.7, 1.3) | <0.001 | 0.39 |
| PCB177 | 0.7 (0.3, 1.2) | 0.3 (0.2, 1.8) | 2.1 (0.4, 2.6) | 3.6 (2.8, 5.1) | <0.001 | 0.49 |
| PCB178 | 7.5 (6.2, 8.8) | 12.6 (11.0, 14.5) | 18.0 (15.1, 20.8) | 29.0 (23.1, 36.4) | <0.001 | 0.72 |
| PCB180 | 8.7 (7.8, 10.6) | 13.9 (11.9, 14.8) | 18.5 (16.1, 22.3) | 28.6 (23.4, 34.7) | <0.001 | 0.72 |
| PCB183 | 2.1 (1.6, 2.5) | 3.4 (3.0, 3.8) | 4.8 (3.8, 5.6) | 7.5 (5.7, 8.7) | <0.001 | 0.71 |
| PCB187 | 3.5 (2.9, 4.2) | 5.5 (4.8, 6.2) | 7.1 (6, 8.6) | 10.7 (9.4, 13.4) | <0.001 | 0.77 |
| PCB194 | 2.8 (2.2, 3.5) | 4.1 (3.1, 5.2) | 5.4 (4.2, 6.9) | 7.8 (6.0, 9.9) | <0.001 | 0.38 |
| PCB195 | 4.4 (3.6, 5.7) | 7.4 (5.7, 9.2) | 9.3 (7.6, 12.4) | 14.5 (11.5, 19.4) | <0.001 | 0.56 |
| PCB199 | 5.2 (4.7, 6.3) | 8.0 (6.6, 9.6) | 11.1 (9.6, 12.8) | 14.9 (13.5, 21) | <0.001 | 0.64 |
| PCB196-203 | 1.2 (0.9, 1.5) | 1.8 (1.6, 2.3) | 2.7 (2.2, 3.1) | 3.9 (3.4, 4.9) | <0.001 | 0.70 |
| PCB206 | 1.1 (0.8, 1.3) | 1.7 (1.1, 2.0) | 2.0 (1.6, 2.8) | 3.1 (2.5, 4.0) | <0.001 | 0.36 |
| PCB209 | 0.3 (0.2, 0.3) | 0.3 (0.2, 0.3) | 0.3 (0.2, 0.3) | 0.3 (0.2, 0.3) | 0.827 | 0.00 |
| PBBs | ||||||
| PBB153 | 2.2 (1.6, 3.2) | 2.9 (2.1, 5.4) | 3.8 (2.7, 5.1) | 3.9 (2.8, 5.5) | 0.148 | 0.01 |
Table 5.
OCP median (25th, 75th percentile) wet weight concentrations (pg/g) in serum across quartiles of 8 OCP summary score. This list includes 8 OCPs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| Quartiles of 8 OCP summary score |
P-trend | R-square | ||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | |||
| Organochlorine pesticides | ||||||
| Hexachlorobenzene | 112.9 (98.7, 151.6) | 159 (125.1, 191.5) | 148.8 (120.9, 203.6) | 196.7 (154.9, 241.2) | <0.001 | 0.16 |
| Mirex | 6.8 (6.6, 20.2) | 20.7 (13.2, 31) | 30.2 (21.5, 54) | 42.9 (22.9, 76.8) | <0.001 | 0.12 |
| Oxychlordane | 110.5 (87.3, 131.2) | 152.4 (126.8, 181.9) | 172.9 (135.8, 217.8) | 234 (188.3, 338.6) | <0.001 | 0.46 |
| P,p’-DDE | 1831 (1134, 2513) | 2954 (2346, 3928) | 4025 (3021, 5561) | 7072 (4800, 9799) | <0.001 | 0.31 |
| P,p’-DDT | 89.8 (72.1, 123) | 123.3 (85.7, 155.7) | 153.5 (104.0, 218.4) | 228.0 (157.7, 319.4) | <0.001 | 0.25 |
| Trans-nonachlor | 101.7 (82.1, 151.3) | 165 (126.3, 205.1) | 205.5 (156.8, 263.3) | 335.2 (250.3, 488.0) | <0.001 | 0.43 |
| β-hexachlorocyclohexane | 44.4 (29.6, 62.4) | 58.2 (48.9, 72.1) | 79.9 (61.4, 98.9) | 107.4 (82.5, 140.4) | <0.001 | 0.42 |
| Λ-hexachlorocyclohexane | 17.9 (7.0, 40.3) | 32.0 (18.1, 99.3) | 55.7 (34.2, 102.1) | 115.2 (43.9, 395.3) | <0.001 | 0.07 |
Table 6.
PCB median (25th, 75th percentile) wet weight concentrations (pg/g) in serum across quartiles of 23 PCB summary score. This list includes 23 PCBs that were detectable in ≥75% of participants at year 2 of follow-up. Non-detectable values were replaced with 50% of the limit of detectability.
| Quartiles of 23 PCB summary score (wet weight concentrations) |
P-trend | R-square | ||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | |||
| Organochlorine pesticides | ||||||
| PCB74 | 60.2 (45.4, 73.3) | 91.6 (73.2, 117.8) | 113.6 (72.0, 161.1) | 144.1 (114.7, 183.5) | <0.001 | 0.41 |
| PCB87 | 4.2 (1.9, 6.3) | 6.7 (3.9, 8.5) | 7.1 (5.0, 10.6) | 10.6 (6.3, 15.1) | <0.001 | 0.23 |
| PCB99 | 49.0 (37.8, 65.5) | 83.5 (63.8, 107.9) | 96.0 (80.4, 129.2) | 154.0 (134.3, 218.6) | <0.001 | 0.57 |
| PCB105 | 17.1 (11.7, 27.1) | 28.4 (20.3, 37.6) | 34.6 (20.8, 49.3) | 46.5 (32.8, 60.2) | <0.001 | 0.34 |
| PCB118 | 86.1 (58.1, 125.8) | 134.6 (93.5, 172.3) | 166.5 (118.8, 225.0) | 231.5 (182.9, 282.0) | <0.001 | 0.41 |
| PCB146 | 19.1 (13.2, 21.3) | 32.7 (27.5, 37.0) | 48.3 (41.2, 55.8) | 83.9 (64.0, 109.6) | <0.001 | 0.64 |
| PCB153 | 176.1 (146.3, 195.2) | 290.1 (261.1, 313.8) | 388.9 (353.1, 445.9) | 656.4 (552.1, 783.4) | <0.001 | 0.74 |
| PCB156 | 21.5 (18.3, 27) | 32.6 (28.0, 39.5) | 50.0 (45.6, 59.8) | 77.4 (65.5, 110.3) | <0.001 | 0.65 |
| PCB157 | 5.6 (4.8, 6.9) | 8.4 (7.3, 10.5) | 13.4 (10.7, 15.6) | 19.0 (15.1, 26.3) | <0.001 | 0.65 |
| PCB138-158 | 135.4 (106.8, 161.9) | 224.3 (203.9, 253.2) | 296.5 (255.5, 349.3) | 468.9 (388.1, 592.7) | <0.001 | 0.69 |
| PCB167 | 6.9 (5.5, 8.9) | 12.2 (9.4, 13.7) | 17.1 (13.5, 19.6) | 25.4 (18.5, 33.0) | <0.001 | 0.57 |
| PCB170 | 41.5 (33.6, 50.3) | 67.1 (57.7, 76.7) | 96.8 (78.2, 110.0) | 163.9 (133.5, 195.7) | <0.001 | 0.76 |
| PCB177 | 9.1 (7.8, 11.4) | 16.3 (15, 19.4) | 22.2 (19.7, 24.5) | 42.2 (32.9, 53.5) | <0.001 | 0.70 |
| PCB178 | 6.5 (4.4, 8.8) | 11.7 (10.0, 13.0) | 16.4 (14.8, 21.3) | 32.7 (25.0, 42.6) | <0.001 | 0.70 |
| PCB180 | 105.8 (83.4, 123.6) | 173.9 (143.8, 198.8) | 244.1 (224.7, 275.7) | 395.1 (347.3, 481.0) | <0.001 | 0.77 |
| PCB183 | 16.5 (12.4, 19.4) | 28.1 (23.2, 32.1) | 35.2 (29.5, 40) | 62.5 (47.8, 76.2) | <0.001 | 0.73 |
| PCB187 | 36.0 (29.1, 45.6) | 62.7 (53.9, 71.1) | 86.4 (75.6, 103.1) | 161.5 (124.3, 216.3) | <0.001 | 0.69 |
| PCB194 | 20.0 (15.2, 25.9) | 34.8 (28.2, 43.6) | 50.3 (39.9, 61.5) | 86.1 (66.7, 104.8) | <0.001 | 0.65 |
| PCB195 | 5.7 (4.0, 6.8) | 9.5 (8.4, 11.4) | 13.3 (11.5, 15.2) | 23.0 (18.1, 28.3) | <0.001 | 0.75 |
| PCB199 | 22.8 (15.4, 28.0) | 37.4 (29.8, 44.7) | 50.6 (44.2, 65.8) | 85.7 (69.8, 107.7) | <0.001 | 0.62 |
| PCB196-203 | 24.6 (19.0, 29.9) | 39.1 (34.6, 47.3) | 55.0 (47.6, 67) | 92.2 (77.2, 105.7) | <0.001 | 0.70 |
| PCB206 | 13.0 (9.7, 16.0) | 20.0 (16.0, 24.0) | 28.0 (22.0, 34.0) | 41.0 (35.0, 56.0) | <0.001 | 0.48 |
| PCB209 | 5.0 (3.8, 6.3) | 7.2 (5.9, 9.7) | 10.9 (8.1, 14.1) | 17.7 (13.6, 23.2) | <0.001 | 0.46 |
Acknowledgements
We would like to thank Dr. David R Jacobs Jr. for his prior work on persistent organic pollutants in the CARDIA study which allowed us to conduct the present analyses. The Coronary Artery Risk Development in Young Adults Study (CARDIA) is supported by contracts HHSN268201300025C, HHSN268201300026C, HHSN268201300027C, HHSN268201300028C, HHSN268201300029C, and HHSN268200900041C from the National Heart, Lung, and Blood Institute (NHLBI), the Intramural Research Program of the National Institute on Aging (NIA), and an intra-agency agreement between NIA and NHLBI (AG0005). The Young Adult Longitudinal Trends in Atherosclerosis (YALTA) study is supported by R01HL53560. The development of this manuscript was supported by a JPB Environmental Health Fellowship award granted by the JPB Foundation and managed by the Harvard T. H. Chan School of Public Health. All funding sources are from the United States of America.
Footnotes
Transparency document associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2019.103720.
Contributor Information
Jose R. Suarez-Lopez, Email: jrsuarez@ucsd.edu.
Myron D. Gross, Email: gross001@umn.edu.
Duk-Hee Lee, Email: lee_dh@knu.ac.kr.
Transparency document
The following is the transparency document related to this article:
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