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Table 1 Women’s characteristics for studying associations between blood heavy metal concentrations and historical infertility

From: Associations between exposure to cadmium, lead, mercury and mixtures and women’s infertility and long-term amenorrhea

Characteristics

Main group sample (ever-infertile vs fertile)

Sub-group sample (ever-infertile vs pregnant)

Total Sample

N (%)

Ever-infertile1

N (%)

Fertile2

N (%)

p-Value4

Total Sample

N (%)

Ever-infertile1

N (%)

Pregnant3

N (%)

p-Value4

Total Women

1999

238 (12.8)

1761 (87.2)

 

297

238 (81.6)

59 (18.4)

 

Age, mean ± SE (years)

34 ± 0.23

37 ± 0.79

33 ± 0.22

 < .001

35 ± 0.71

37 ± 0.70

27 ± 0.58

 < .001

Race/Ethnicity

   

0.85

   

0.26

 Hispanic

518 (18.2)

62 (17.9)

456 (18.2)

 

78 (18.5)

62 (17.9)

16 (21.4)

 

 Non-Hispanic White

697 (58.4)

90 (60.5)

607 (58.1)

 

108 (57.8)

90 (60.5)

18 (45.8)

 

 Non-Hispanic Black

426 (13.2)

47 (13.0)

379 (13.2)

 

61 (14.4)

47 (13.0)

14 (20.4)

 

 Other Race Including Multi-Racial

358 (10.2)

39 (8.6)

319 (10.5)

 

50 (9.3)

39 (8.6)

11 (12.4)

 

Education Level

   

0.53

   

0.73

 Less than High School

297 (10.8)

36 (11.7)

261 (10.7)

 

46 (15.5)

36 (11.7)

10 (14.1)

 

 High School

397 (19.6)

50 (22.1)

347 (19.2)

 

62 (20.9)

50 (22.1)

12 (17.1)

 

 More than High School

1305 (69.6)

152 (66.3)

1153 (70.1)

 

189 (63.6)

152 (66.3)

37 (68.8)

 

Marital Status

   

 < .001

   

0.59

 Married / Living with Partner

1173 (61.3)

175 (78.1)

998 (58.9)

 

223 (78.6)

175 (78.1)

48 (80.6)

 

 Divorced / Widowed / Separated

243 (10.3)

29 (8.8)

214 (10.5)

 

31 (8.0)

29 (8.8)

2 (4.2)

 

 Never Married

583 (28.4)

34 (13.0)

549 (30.6)

 

43 (13.4)

34 (13.0)

9 (15.2)

 

Poverty Income Ratio, mean ± SE

2.770 ± 0.07

2.95 ± 0.14

2.75 ± 0.070

0.15

2.90 ± 0.14

2.95 ± 0.14

2.72 ± 0.23

0.52

Covered by Health Insurance

   

0.33

   

0.03

 Yes

1601 (83.0)

187 (80.7)

1414 (83.3)

 

239 (82.6)

187 (80.7)

52 (91.0)

 

 No

398 (17.0)

51 (19.3)

347 (16.7)

 

58 (17.4)

51 (19.3)

7 (9.0)

 

Body Mass Index (kg/m**2)

   

0.007

   

0.16

 Underweight (< 18.5)

39 (2.0)

4 (1.2)

35 (2.1)

 

5 (1.2)

4 (1.2)

1 (1.4)

 

 Normal Weight (18.5–24.9)

615 (32.1)

64 (27.8)

551 (32.7)

 

78 (26.2)

64 (27.8)

14 (19.2)

 

 Overweight (25.0–29.9)

471 (24.9)

38 (18.5)

433 (25.9)

 

53 (21.1)

38 (18.5)

15 (32.4)

 

 Obese (> 30)

874 (50.0)

132 (52.5)

742 (39.3)

 

161 (51.5)

132 (52.5)

29 (47.0)

 

Ever Smoked

   

0.028

   

0.50

 Yes

613 (33.0)

88 (40.5)

525 (31.9)

 

109 (39.3)

88 (40.5)

21 (34.1)

 

 No

1386 (67.0)

150 (59.5)

1236 (68.1)

 

188 (60.7)

150 (59.5)

38 (65.9)

 

Ever taken hormone-based contraception?

   

0.85

   

0.15

 Yes

1389 (75.7)

170 (76.3)

1219 (75.6)

 

204 (74.3)

170 (76.3)

34 (65.1)

 

 No

610 (24.3)

68 (23.7)

542 (24.4)

 

93 (25.7)

68 (23.7)

25 (34.9)

 

At least one period in past 12 months

   

0.73

   

n/a

 Yes

1815 (89.8)

222 (89.0)

1593 (89.9)

 

281 (91.0)

222 (89.0)

59 (100)

 

 No

183 (10.2)

16 (11.0)

167 (10.1)

 

16 (9.0)

16 (11.0)

0 (0)

 

Seen a DR b/c unable to become pregnant?

   

 < .001

   

 < .001

 Yes

166 (9.3)

136 (60.3)

30 (1.8)

 

137 (49.5)

136 (60.3)

1 (1.9)

 

 No

1833 (90.7)

102 (39.7)

1731 (98.2)

 

160 (50.5)

102 (39.7)

58 (98.1)

 
  1. Values for continuous variables are mean ± SD
  2. Values for categorical variables are n (unweighted sample counts) and % (weighted sample percentages to account for NHANES survey design)
  3. 1 ‘Ever-infertile’ if participant responded ‘yes’ to the following question: “Have you ever attempted to become pregnant over a period of at least a year without becoming pregnant?”
  4. 2 ‘Fertile’ if answered “No” to the following question: "Have you ever attempted to become pregnant over a period of at least a year without becoming pregnant?"
  5. 3 ‘Pregnant’ if women answered “Yes” to the question “Are you pregnant now?”
  6. 4 p-Value for categorical variables comes from a chi-squared test, which determines if there is a significant difference between demographics in ever infertile vs. fertile or pregnant. p-values for continuous variables comes from a t-test to determine if there is a significant difference between the means of ever infertile vs. fertile or pregnant