Lead poisoning disproportionately affects children and can result in permanent neurologic damage.1 Although blood lead levels (BLLs) declined among children in the United States over the past several decades, children resettling to the United States from other countries emerged as a population at risk for BLLs that are higher than the United States blood lead reference value of ≥5 μg/dL at the time of this analysis.2 Among children screened for lead shortly after resettlement, children from Afghanistan have a higher prevalence of BLLs ≥5 μg/dL compared with children from other countries,3,4 but timely sources of data available for analysis are limited. In 2021, the United States troop withdrawal from Afghanistan prompted the rapid evacuation and resettlement of more than 76 000 Afghans to the United States.5 We analyzed existing data from domestic medical examinations (DMEs) conducted from 2014 to 2016 for refugees and eligible populations ≤90 days after arrival in multiple states. We described and compared the prevalence of BLL ≥5 μg/dL among Afghan and non-Afghan refugee children screened and evaluated select characteristics associated with BLL ≥5 μg/dL among Afghan children.
Methods
We conducted a cross-sectional analysis of blood lead test results during immigration-related DMEs of children <17 years old screened in 9 United States sites (7 states, 1 county, and 1 university-affiliated clinic) between January 1, 2014, and December 31, 2016. Participating sites reported quantitative blood lead screening results from venous specimens (preferred), capillary, or unknown specimens. BLLs ≥5 μg/dL were considered elevated. We compared BLL ≥5 μg/dL prevalence between Afghan and non-Afghan children receiving DMEs and assessed prevalence by age, sex, days from US arrival to DME, lead specimen type (capillary, venous, or unknown), DME year, nationality, country of last residence, anemia (hemoglobin of ≤10 g/dL), and stunting (<-2 standard deviations from the median height-for-age Z-score for the reference population).
We included independent variables significantly associated with BLL ≥5 μg/dL (P < .05) in bivariate analysis to calculate prevalence ratios and 95% confidence intervals using generalized estimating equations adjusted for age with repeated subjects to account for site-level clustering. All analyses were conducted using SAS software, version 9.4 (SAS Institute Inc, Cary, NC). This project was reviewed in accordance with Centers for Disease Control and Prevention’s institutional review policies and procedures and was determined to be nonresearch program evaluation.
Results
Nine sites provided lead screening results for 30 435 children, including 4130 Afghans. Prevalence of BLLs ≥5 μg/dL among Afghan children was 32.0%, 3 times higher than non-Afghan children (9.2%, adjusted prevalence ratio [aPR] = 3.1, P < .0001) (Table 1) and was associated with having been examined in April through September, stunting, and country of last residence. Most (98.4%) Afghan children were screened within 90 days of US arrival.
Characteristic . | Total . | Non-Afghan (Col %) . | Afghan (Col %) . | P . |
---|---|---|---|---|
BLL screeneda | 30 435 | 26 305 (87.3) | 4130 (82.9) | <.0001 |
Geometric mean blood lead level among children with BLL ≥5 µg/dL (SD) | 7.0 (1.5) | 6.7 (1.4) | 7.5 (1.5) | <.0001 |
BLL results, µg/dL | <.0001 | |||
<5 | 26 685 | 23 876 (90.8) | 2809 (68.0) | |
≥5 | 3750 | 2429 (9.2) | 1321 (32.0) | |
5–9 | 3151 | 2113 (8.0) | 1038 (25.1) | |
≥10 | 599 | 316 (1.2) | 283 (6.9) | |
Ag, y | <.0001 | |||
Median age (IQR) | 7 (3–11) | 7 (3–12) | 5 (2–9) | |
≤2 | 5502 | 4382 (16.7) | 1120 (27.1) | |
3–6 | 10 615 | 8900 (33.8) | 1715 (41.5) | |
7–12 | 8646 | 7764 (29.5) | 882 (21.4) | |
13–16 | 5672 | 5259 (20.0) | 413 (10.0) | |
Sexb | .3 | |||
Female | 14 692 | 12 728 (48.4) | 1964 (47.6) | |
Male | 15 741 | 13 575 (51.6) | 2166 (52.4) |
Characteristic . | Total . | Non-Afghan (Col %) . | Afghan (Col %) . | P . |
---|---|---|---|---|
BLL screeneda | 30 435 | 26 305 (87.3) | 4130 (82.9) | <.0001 |
Geometric mean blood lead level among children with BLL ≥5 µg/dL (SD) | 7.0 (1.5) | 6.7 (1.4) | 7.5 (1.5) | <.0001 |
BLL results, µg/dL | <.0001 | |||
<5 | 26 685 | 23 876 (90.8) | 2809 (68.0) | |
≥5 | 3750 | 2429 (9.2) | 1321 (32.0) | |
5–9 | 3151 | 2113 (8.0) | 1038 (25.1) | |
≥10 | 599 | 316 (1.2) | 283 (6.9) | |
Ag, y | <.0001 | |||
Median age (IQR) | 7 (3–11) | 7 (3–12) | 5 (2–9) | |
≤2 | 5502 | 4382 (16.7) | 1120 (27.1) | |
3–6 | 10 615 | 8900 (33.8) | 1715 (41.5) | |
7–12 | 8646 | 7764 (29.5) | 882 (21.4) | |
13–16 | 5672 | 5259 (20.0) | 413 (10.0) | |
Sexb | .3 | |||
Female | 14 692 | 12 728 (48.4) | 1964 (47.6) | |
Male | 15 741 | 13 575 (51.6) | 2166 (52.4) |
Values in this row serve as the denominators for percent calculations in each column.
Excludes 2 people with unreported sex.
Among Afghan children only, the highest prevalence of BLLs ≥5 μg/dL occurred among children ≤2 years old; 47% of these children had BLLs ≥5 μg/dL and 17% had a BLL ≥10 µg/dL (Table 2). Approximately 8.8% of Afghans were stunted; stunting was significantly associated with BLLs ≥5 μg/dL (37.8% of children with stunting compared with 29.6% of children without, P = .0013). This association remained after adjusting for age (aPR 1.2, P < .0001). After age adjustment, children screened in April through September were significantly more likely to have BLLs ≥5 μg/dL compared with children screened in October through March (aPR 1.2, P = .0007; not shown), and prevalence of BLLs ≥5 μg/dL among Afghan children last residing in Pakistan was higher compared with children coming from Afghanistan (aPR 1.8, P < .0001; not shown).
Characteristics . | Total N (Col %) . | BLL <5 µg/dL (Row %) . | BLL 5-9 µg/dL . | BLL 10+ µg/dL . | Total BLL ≥5 µg/dL . | P . |
---|---|---|---|---|---|---|
Total | 4130 | 2809 (68.0) | 1038 (25.1) | 283 (6.9) | 1321 (32.0) | |
Age, y | <.0001 | |||||
≤2 | 1120 (27.1) | 594 (53) | 336 (30) | 190 (17) | 526 (47.0) | |
3–6 | 1715 (41.5) | 1100 (64.1) | 543 (31.7) | 72 (4.2) | 615 (35.9) | |
7-–12 | 882 (21.4) | 753 (85.4) | 116 (13.2) | 13 (1.5) | 129 (14.6) | |
13–16 | 413 (10.0) | 362 (87.7) | 43 (10.4) | 8 (1.9) | 51 (12.3) | |
Sex | .7 | |||||
Female | 1964 (47.6) | 1330 (67.7) | 498 (25.4) | 136 (6.9) | 634 (32.3) | |
Male | 2166 (52.4) | 1479 (68.3) | 540 (24.9) | 147 (6.8) | 687 (31.7) | |
Blood specimen type | <.0001 | |||||
Capillary or unknown | 927 (22.4) | 784 (84.6) | 116 (12.5) | 27 (2.9) | 143 (15.4) | |
Venous | 3203 (77.6) | 2025 (63.2) | 922 (28.8) | 256 (8) | 1178 (36.8) | |
Month of domestic medical examinationa | .0006 | |||||
January–March | 1053 (25.5) | 759 (72.1) | 237 (22.5) | 57 (5.4) | 294 (27.9) | |
April–June | 933 (22.6) | 594 (63.7) | 268 (28.7) | 71 (7.6) | 339 (36.3) | |
July–September | 907 (22.0) | 608 (67.0) | 223 (24.6) | 76 (8.4) | 299 (33.0) | |
October–November | 1191 (28.8) | 824 (69.2) | 297 (24.9) | 70 (5.9) | 367 (30.8) | |
Visa | <.0001 | |||||
Special immigrant visa holder | 3275 (79.3) | 2190 (66.9) | 847 (25.9) | 238 (7.3) | 1085 (33.1) | |
Otherb | 855 (20.7) | 619 (72.4) | 191 (22.3) | 45 (5.3) | 236 (27.6) | |
Days between US entry and domestic medical examinationc | .4 | |||||
0–90 | 4037 (97.7) | 2744 (68.0) | 1017 (25.2) | 276 (6.8) | 1293 (32.0) | |
>90 | 67 (1.6) | 42 (62.7) | 18 (26.9) | 7 (10.4) | 25 (37.3) | |
Hemoglobin (g/dL)d | <.0001 | |||||
<11 | 212 (5.1) | 104 (49.1) | 72 (34.0) | 36 (17.0) | 108 (50.9) | |
≥11 | 3520 (85.2) | 2465 (70.0) | 840 (23.9) | 215 (6.1) | 1055 (30.0) | |
Stuntinge | .001 | |||||
No | 3190 (77.2) | 2245 (70.4) | 762 (23.9) | 183 (5.7) | 945 (29.6) | |
Yes | 365 (8.8) | 227 (62.2) | 104 (28.5) | 34 (9.3) | 138 (37.8) | |
Country of last residence | <.0001 | |||||
Afghanistan | 3131 (75.8) | 2088 (66.7) | 815 (26.0) | 228 (7.3) | 1043 (33.3) | |
Pakistan | 200 (4.8) | 114 (57.0) | 72 (36.0) | 14 (7.0) | 86 (43.0) | |
Turkey | 124 (3.0) | 123 (99.2) | 1 (0.1) | — | 1 (0.8) | |
Other | 101 (2.4) | 92 (91.1) | 150 (22.2) | 41 (6.1) | 9 (8.9) |
Characteristics . | Total N (Col %) . | BLL <5 µg/dL (Row %) . | BLL 5-9 µg/dL . | BLL 10+ µg/dL . | Total BLL ≥5 µg/dL . | P . |
---|---|---|---|---|---|---|
Total | 4130 | 2809 (68.0) | 1038 (25.1) | 283 (6.9) | 1321 (32.0) | |
Age, y | <.0001 | |||||
≤2 | 1120 (27.1) | 594 (53) | 336 (30) | 190 (17) | 526 (47.0) | |
3–6 | 1715 (41.5) | 1100 (64.1) | 543 (31.7) | 72 (4.2) | 615 (35.9) | |
7-–12 | 882 (21.4) | 753 (85.4) | 116 (13.2) | 13 (1.5) | 129 (14.6) | |
13–16 | 413 (10.0) | 362 (87.7) | 43 (10.4) | 8 (1.9) | 51 (12.3) | |
Sex | .7 | |||||
Female | 1964 (47.6) | 1330 (67.7) | 498 (25.4) | 136 (6.9) | 634 (32.3) | |
Male | 2166 (52.4) | 1479 (68.3) | 540 (24.9) | 147 (6.8) | 687 (31.7) | |
Blood specimen type | <.0001 | |||||
Capillary or unknown | 927 (22.4) | 784 (84.6) | 116 (12.5) | 27 (2.9) | 143 (15.4) | |
Venous | 3203 (77.6) | 2025 (63.2) | 922 (28.8) | 256 (8) | 1178 (36.8) | |
Month of domestic medical examinationa | .0006 | |||||
January–March | 1053 (25.5) | 759 (72.1) | 237 (22.5) | 57 (5.4) | 294 (27.9) | |
April–June | 933 (22.6) | 594 (63.7) | 268 (28.7) | 71 (7.6) | 339 (36.3) | |
July–September | 907 (22.0) | 608 (67.0) | 223 (24.6) | 76 (8.4) | 299 (33.0) | |
October–November | 1191 (28.8) | 824 (69.2) | 297 (24.9) | 70 (5.9) | 367 (30.8) | |
Visa | <.0001 | |||||
Special immigrant visa holder | 3275 (79.3) | 2190 (66.9) | 847 (25.9) | 238 (7.3) | 1085 (33.1) | |
Otherb | 855 (20.7) | 619 (72.4) | 191 (22.3) | 45 (5.3) | 236 (27.6) | |
Days between US entry and domestic medical examinationc | .4 | |||||
0–90 | 4037 (97.7) | 2744 (68.0) | 1017 (25.2) | 276 (6.8) | 1293 (32.0) | |
>90 | 67 (1.6) | 42 (62.7) | 18 (26.9) | 7 (10.4) | 25 (37.3) | |
Hemoglobin (g/dL)d | <.0001 | |||||
<11 | 212 (5.1) | 104 (49.1) | 72 (34.0) | 36 (17.0) | 108 (50.9) | |
≥11 | 3520 (85.2) | 2465 (70.0) | 840 (23.9) | 215 (6.1) | 1055 (30.0) | |
Stuntinge | .001 | |||||
No | 3190 (77.2) | 2245 (70.4) | 762 (23.9) | 183 (5.7) | 945 (29.6) | |
Yes | 365 (8.8) | 227 (62.2) | 104 (28.5) | 34 (9.3) | 138 (37.8) | |
Country of last residence | <.0001 | |||||
Afghanistan | 3131 (75.8) | 2088 (66.7) | 815 (26.0) | 228 (7.3) | 1043 (33.3) | |
Pakistan | 200 (4.8) | 114 (57.0) | 72 (36.0) | 14 (7.0) | 86 (43.0) | |
Turkey | 124 (3.0) | 123 (99.2) | 1 (0.1) | — | 1 (0.8) | |
Other | 101 (2.4) | 92 (91.1) | 150 (22.2) | 41 (6.1) | 9 (8.9) |
Stunting is defined as less than -2 SD from the median height-for-age Z-score using the World Health Organization reference population. BLL, blood lead level. —, not applicable.
Excludes 46 people with unknown month of assessment.
Includes individuals who initially resettled to the United States with refugee (17.9%), asylee (1.5%), or unknown (1.4%) status.
Excludes 26 records with missing entry to screening information.
Excludes 398 with missing hemoglobin levels.
Excludes 575 with missing height/weight measures or who have biologically implausible values.
Conclusions
Children resettled from Afghanistan had a higher prevalence of BLLs ≥5 μg/dL compared with non-Afghan children screened shortly after United States resettlement and to all United States children (3.8% in 2016).6 Current Centers for Disease Control and Prevention guidance recommends that clinicians caring for Afghan arrivals screen for lead and potential sources of lead exposures (eg, use of surma/ kajal—eye cosmetics commonly used in Afghan children7,8 ) in children ≤16 years of age and in pregnant or lactating people.9 Clinicians should also promptly evaluate and manage the nutritional status of Afghan children. Afghans may not arrive through immigration channels that connect them to the domestic medical examination including blood lead screening. State-based refugee health and lead programs, clinicians treating Afghans, and resettlement agencies supporting Afghans should work with families to ensure lead screening is conducted for all recently arrived Afghan children.
Ms Pezzi conceptualized and designed the project, conducted the initial analyses, drafted the initial manuscript, and revised the manuscript. Dr Kumar and Ms Lee conceptualized and designed the project, drafted the initial manuscript, and reviewed and revised the manuscript. Dr Jentes conceptualized and designed the project and reviewed and revised the manuscript.
Ms Cabanting, Ms Kawasaki, Ms Kennedy, Ms Aguirre, Ms Titus, Ms Ford, Ms Mamo, Ms Urban, Dr Hughes, Ms Payton, Dr Altshuler, and Ms Montour collected data and reviewed and revised the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
Ms Aguirre’s current affiliation is Illinois Department of Healthcare and Family Services, Chicago, IL. Ms Ford’s current affiliation is Kentucky Office for Refugees, Louisville, KY. Dr Payton’s current affiliation is Moravian College, School of Nursing and Public Health, Bethlehem, PA. Ms Montour’s current affiliation is the US Committee for Refugees and Immigrants, Austin, TX.
FUNDING: Nine sites (Colorado; Illinois; Marion County, Indiana; Massachusetts; Catholic Charities Kentucky; Minnesota; New York; Texas; and Thomas Jefferson University) were supported by the CK12-1205 Strengthening Surveillance for Diseases among Newly Arrived Immigrants and Refugees federally funded cooperative agreement from Centers for Disease Control and Prevention.
CONFLICTS OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of Centers for Disease Control or Health and Human Services.
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