| Literature DB >> 32276325 |
Paola Manduca1, Nabil Al Baraquni2, Stefano Parodi3.
Abstract
Introduction: High levels of environmental contaminants with long term effects and teratogenic and carcinogenic potential, such as heavy metals, were introduced by weaponry in war areas in the last decades. Poorer reproductive health and increases in non-communicable diseases were reported after wars and are the suspected long term effects of contamination by stable war remnants. Although potentially affecting millions of people, this is still an understudied issue of public health. Background: Gaza, Palestine since 2006 has been an object of repeated severe military attacks that left heavy metals remnants in the environment, in wound tissues and that were assumed by the population. Retrospective studies showed a progressive increase in birth defects since the 2006 attacks. In 2011 we started surveillance at birth alongside analysis of the heavy metals load carried by pregnant women and their babies.Entities:
Keywords: exposure to war and weapon-remnants; heavy metal load in human cohorts; relevance of acute and chronic exposure to heavy metals in environment for reproductive health outcomes; surveillance at birth and prevalence of birth defects and preterm babies
Year: 2020 PMID: 32276325 PMCID: PMC7177220 DOI: 10.3390/ijerph17072538
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Parents’ characteristics and exposures, reproductive history, and delivery complications. Year 2018–2019.
| ALL (N = 4765) | Birth Defects (N=78) | Preterm Birth (N=360) | Low Birth Weight (N = 142) | |||||
|---|---|---|---|---|---|---|---|---|
| Features | N | % | N | % | N | % | N | % |
| Parents characteristics | ||||||||
| Mother age (year) | ||||||||
| <20 | 492 | 10.4 | 8 | 10.5 | 40 | 11.2 | 14 | 10.0 |
| 20-29 | 3158 | 66.7 | 44 | 57.9 | 235 | 65.6 | 88 | 62.9 |
| 30-39 | 984 | 20.8 | 18 | 23.7 | 79 | 22.1 | 34 | 24.3 |
| ≥ 40 | 98 | 2.1 | 6 | 7.9 | 4 | 1.1 | 4 | 2.9 |
| Missing | (33) | (0.7) | (2) | (2.6) | (2) | (0.6) | (2) | (1.4) |
| Mother education | ||||||||
| No school | 106 | 2.2 | 0 | 0.0 | 9 | 2.5 | 8 | 5.6 |
| Primary | 678 | 14.3 | 16 | 20.8 | 56 | 15.6 | 20 | 14.1 |
| Secondary or more | 3974 | 83.5 | 61 | 79.2 | 293 | 81.8 | 114 | 80.3 |
| Missing | (7) | (0.2) | (1) | (1.3) | (2) | (0.6) | (0) | (0.0) |
| Working mother | ||||||||
| No | 4513 | 95.1 | 71 | 93.4 | 337 | 93.9 | 131 | 92.3 |
| Yes | 231 | 4.9 | 5 | 6.6 | 22 | 6.1 | 11 | 7.8 |
| Missing | (21) | (0.4) | (2) | (2.6) | (1) | (0.3) | (0) | (0.0) |
| Primiparity | ||||||||
| No | 3258 | 68.4 | 52 | 66.7 | 236 | 66.3 | 91 | 64.1 |
| Yes | 1500 | 31.5 | 26 | 33.3 | 120 | 33.7 | 51 | 35.9 |
| Missing | (7) | (0.2) | (0) | (0.0) | (4) | (1.1) | (0) | (0.0) |
| Previous children with birth defects | ||||||||
| No | 4721 | 99.2 | 77 | 98.7 | 352 | 98.6 | 142 | 100 |
| Yes | 36 | 0.8 | 1 | 1.3 | 5 | 1.4 | 0 | 0.0 |
| Missing | (8) | (0.2) | (0) | (0.0) | (3) | (0.8) | (0) | (0.0) |
| Birth defects in the mother’s family | ||||||||
| No | 4624 | 97.3 | 73 | 96.1 | 341 | 95.3 | 141 | 99.3 |
| Yes | 130 | 2.7 | 3 | 3.9 | 17 | 4.7 | 1 | 0.7 |
| Missing | (11) | (0.2) | (2) | (2.6) | (2) | (0.6) | (0) | (0.0) |
| Father age (year) | ||||||||
| <20 | 13 | 0.3 | 1 | 1.3 | 0 | 0.0 | 0 | 0.0 |
| 20-29 | 2599 | 55.0 | 36 | 48.0 | 200 | 55.9 | 76 | 54.3 |
| 30-39 | 1687 | 35.7 | 25 | 33.3 | 131 | 36.6 | 54 | 38.6 |
| ≥ 40 | 423 | 9.0 | 13 | 17.3 | 27 | 7.5 | 10 | 7.1 |
| Missing | (43) | (0.9) | (3) | (3.9) | (2) | (0.6) | (2) | (1.4) |
| Father education | ||||||||
| No school | 243 | 5.1 | 2 | 2.7 | 22 | 6.2 | 9 | 6.3 |
| Primary | 1005 | 21.1 | 19 | 25.3 | 81 | 22.6 | 34 | 23.9 |
| Secondary or more | 3505 | 73.7 | 54 | 72.0 | 255 | 71.2 | 99 | 69.7 |
| Missing | (12) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Father chronic diseases | ||||||||
| No | 4730 | 99.3 | 73 | 97.3 | 356 | 99.4 | 142 | 100 |
| Yes | 25 | 0.5 | 2 | 2.7 | 2 | 0.6 | 0 | 0.0 |
| Missing | (10) | (0.2) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Birth defects in the father family | ||||||||
| No | 4624 | 97.3 | 71 | 94.7 | 346 | 96.7 | 138 | 97.2 |
| Yes | 129 | 2.7 | 4 | 5.3 | 12 | 3.4 | 4 | 2.8 |
| Missing | (12) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Parents consanguinity | ||||||||
| No | 2866 | 60.2 | 38 | 50.7 | 201 | 56.3 | 85 | 59.9 |
| Cousin | 694 | 14.6 | 13 | 17.3 | 53 | 14.9 | 21 | 14.8 |
| Relative | 1180 | 24.9 | 24 | 32.0 | 103 | 28.9 | 36 | 25.4 |
| Missing | (25) | (0.5) | (3) | (3.9) | (3) | (0.8) | (0) | (0.0) |
| Delivery features | ||||||||
| Infant sex | ||||||||
| Male | 2383 | 51.7 | 36 | 47.4 | 177 | 58.2 | 41 | 37.3 |
| Female | 2224 | 48.3 | 40 | 52.6 | 127 | 41.8 | 69 | 62.7 |
| Missing | (158) | (3.3) | (2) | (2.6) | (56) | (15.6) | (32) | (22.5) |
| Twin birth | ||||||||
| No | 4610 | 96.9 | 77 | 98.7 | 305 | 85.0 | 113 | 79.6 |
| Yes | 149 | 3.1 | 1 | 1.3 | 54 | 15.0 | 29 | 20.4 |
| Missing | (6) | (0.1) | (0) | (0.0) | (1) | (0.3) | (0) | (0.0) |
| Gestational diabetes | ||||||||
| No | 4515 | 94.8 | 74 | 97.4 | 335 | 93.6 | 130 | 91.6 |
| Yes | 241 | 5.1 | 2 | 2.6 | 23 | 6.4 | 12 | 8.4 |
| Missing | (9) | (0.2) | (2) | (2.6) | (2) | (0.6) | (0) | (0.0) |
| Type of delivery | ||||||||
| Vaginal | 3702 | 77.8 | 56 | 71.8 | 236 | 65.6 | 81 | 57.0 |
| Cesarean | 1054 | 22.2 | 22 | 28.2 | 124 | 34.4 | 61 | 43.0 |
| Missing | (9) | (0.2) | (0) | (0.0) | (0) | (0.0) | (0) | (0.0) |
| In vitro fertilization | ||||||||
| No | 4703 | 98.7 | 77 | 98.7 | 345 | 95.8 | 132 | 93.0 |
| Yes | 62 | 1.3 | 1 | 1.3 | 15 | 4.2 | 10 | 7.0 |
| Missing | (0) | (0.0) | (0) | (0.0) | (0) | (0.0) | (0) | (0.0) |
| Residence characteristics | ||||||||
| Residence area | ||||||||
| North | 701 | 14.7 | 12 | 15.4 | 56 | 15.6 | 16 | 11.3 |
| Gaza | 3906 | 82.0 | 62 | 79.5 | 267 | 74.2 | 122 | 85.9 |
| Middle | 149 | 3.1 | 4 | 5.1 | 34 | 9.4 | 4 | 2.8 |
| KanYounes | 5 | 0.1 | 0 | 0.0 | 1 | 0.28 | 0 | 0.0 |
| Rafah | 4 | 0.1 | 0 | 0.0 | 2 | 0.56 | 0 | 0.0 |
| Missing | (0) | (0.0) | (0) | (0.0) | (0) | (0.0) | (0) | (0.0) |
| House hit in 2014 | ||||||||
| No | 3691 | 79.4 | 58 | 80.6 | 257 | 73.9 | 111 | 79.3 |
| Yes | 956 | 20.6 | 14 | 19.4 | 91 | 26.2 | 29 | 20.7 |
| Missing | (118) | (2.5) | (6) | (7.7) | (12) | (3.3) | (2) | (1.4) |
| Nearby house hit in 2014 | ||||||||
| No | 3753 | 79.7 | 48 | 65.8 | 273 | 77.1 | 119 | 83.8 |
| Yes | 957 | 20.3 | 25 | 34.3 | 81 | 22.9 | 23 | 16.2 |
| Missing | (55) | (1.2) | (5) | (6.4) | (6) | (1.7) | (0) | (0.0) |
| Rubble use after 2014 | ||||||||
| No | 1791 | 37.7 | 25 | 33.3 | 150 | 41.9 | 53 | 37.3 |
| Yes | 2959 | 62.3 | 50 | 66.7 | 208 | 58.1 | 89 | 62.7 |
| Missing | (15) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| House near a sewage | ||||||||
| No | 4372 | 92.1 | 67 | 89.3 | 324 | 90.5 | 134 | 94.4 |
| Yes | 377 | 7.9 | 8 | 10.7 | 34 | 9.5 | 8 | 5.6 |
| Missing | (16) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| House near a garbage | ||||||||
| No | 4557 | 96.0 | 74 | 98.7 | 348 | 97.2 | 137 | 96.5 |
| Yes | 192 | 4.0 | 1 | 1.3 | 10 | 2.8 | 5 | 3.5 |
| Missing | (16) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| House near agricultural activities | ||||||||
| No | 3792 | 79.8 | 66 | 88.0 | 273 | 76.3 | 117 | 82.4 |
| Yes | 959 | 20.2 | 9 | 12.0 | 85 | 23.7 | 25 | 17.6 |
| Missing | (14) | (0.3) | (3) | (3.9) | (2) | (0.6) | 0 | 0.0 |
| House near factories | ||||||||
| No | 4625 | 97.4 | 67 | 89.3 | 351 | 98.0 | 140 | 98.5 |
| Yes | 126 | 2.6 | 8 | 10.7 | 7 | 2.0 | 2 | 1.4 |
| Missing | (14) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Mother still resident in the same area after 2014 | ||||||||
| No | 304 | 6.4 | 7 | 9.3 | 28 | 7.8 | 6 | 4.2 |
| Yes | 4448 | 93.6 | 68 | 90.7 | 330 | 92.2 | 136 | 95.8 |
| Missing | (13) | (0.3) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Lifestyle exposures | ||||||||
| Folic acid during pregnancy | ||||||||
| No | 12 | 0.3 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 |
| Yes | 4516 | 99.7 | 72 | 100 | 347 | 100 | 134 | 100 |
| Missing | (237) | (5.0) | (6) | (7.7) | 13 | (3.6) | (8) | (5.6) |
| Mother fish consumption | ||||||||
| No | 698 | 14.7 | 13 | 17.3 | 60 | 16.8 | 11 | 7.8 |
| Yes | 4050 | 85.3 | 62 | 82.7 | 298 | 83.2 | 131 | 92.3 |
| Missing | (17) | (0.4) | (3) | (3.9) | (2) | (0.6) | (0) | (0.0) |
| Parents use of fertilizers | ||||||||
| No | 4071 | 85.4 | 61 | 82.4 | 294 | 82.1 | 119 | 83.8 |
| Yes | 671 | 14.1 | 13 | 17.6 | 64 | 17.9 | 23 | 16.2 |
| Missing | (23) | (0.5) | (4) | (5.1) | (2) | (0.6) | (0) | (0.0) |
Notes: Table 1 Descriptive data of the register 2018–2019. N = number of subjects; % = percentages calculated on valid data only.
Prevalence of outcomes at birth in the years 2011, 2016 and 2018–2019.
| 2011 | 2016 | 2018–2019 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Features | No | Yes | No | Yes | No | Yes | Chi2 Overall (2 d.f.) | |||
| Preterm * | 4004 | 45 | 5622 | 482 | 4405 | 360 | 232.8 | <0.001 | <0.001 | 0.509 |
| 98.9% | 1.1% | 92.1% | 7.9% | 92.4% | 7.6% | |||||
| LBW * | 4021 | 28 | 5945 | 159 | 4623 | 142 | 60.8 | <0.001 | <0.001 | 0.237 |
| 99.3% | 0.69% | 97.4% | 2.6% | 97.0% | 3.0% | |||||
| BD * | 4005 | 44 | 5996 | 108 | 4687 | 78 | 7.89 | 0.019 | 0.028 | 0.597 |
| 98.9% | 1.1% | 98.2% | 1.8% | 98.1% | 1.9% | |||||
| Miscarriage ** | 4079 | 94 | 6144 | 41 | 4809 | 21 | 86.7 | <0.001 | <0.001 | 0.112 |
| 97.7% | 2.3% | 99.3% | 0.66% | 99.6% | 0.41% | |||||
| Still Born ** | 4143 | 30 | 6145 | 40 | 4786 | 44 | 2.61 | 0.271 | 0.319 | 0.114 |
| 99.3% | 0.72% | 99.4% | 0.65% | 99.1% | 0.95% | |||||
Chi2 = chi squared test for heterogeneity, d.f. degrees of freedom. LBW = Low Birth Weight; BD = Birth Defects. Miscarriages include 3 babies born at birth. Still born are babies of more than 28 weeks gestation.* Total live born = 4765, ** total delivered babies = 4830.
Association between singleton babies with birth defects, preterm and of low birth weight at term and babies’ and mothers’ characteristics, evaluated by multivariable logistic regression analysis *.
| Features | OR | 95% CI |
|
|---|---|---|---|
|
| |||
| Nearby house hit in 2014 | 0.003 | ||
| No | Ref | - | |
| Yes | 2.1 | 1.3–3.4 | |
|
| |||
| Residence Area *** | <0.001 | ||
| North | Ref | - | |
| Gaza | 0.79 | 0.56–1.1 | |
| Middle | 3.5 | 2.1–5.8 | |
| House hit in 2014 | 0.003 | ||
| No | Ref | - | |
| Yes | 1.5 | 1.1–2.0 | |
| New born gender | 0.019 | ||
| Male | Ref | - | |
| Female | 0.75 | 0.59–0.95 | |
| Rubble use after 2014 | 0.019 | ||
| No | Ref | - | |
| Yes | 0.74 | 0.57–0.95 | |
|
| |||
| New born gender | 0.003 | ||
| Male | Ref | - | |
| Female | 1.8 | 1.2–2.7 | |
| Mother education: secondary school or more | 0.004 | ||
| No | Ref | - | |
| Yes | 0.51 | 0.32–0.81 | |
| Mother fish consumption | 0.020 | ||
| Less than once a month | Ref | - | |
| More than once a month | 2.3 | 1.1–4.7 | |
| Primiparity | 0.037 | ||
| No | Ref | - | |
| Yes | 1.5 | 1.0–2.3 | |
| Gestational diabetes | 0.053 | ||
| No | Ref | - | |
| Yes | 1.9 | 0.99–3.8 |
OR = Odds Ratio; 95%CI: 95% confidence intervals. * Forward selection. Only predictors with at least 10 observation by group have been analyzed; twin births were excluded from the analyses. ** Only one predictor selected (the multivariable model is equivalent to the univariable one). *** Kan Yunes and Rafah areas excluded for insufficient sample size.
95th percentile values of metal concentration in ppm in the hair of Gaza mothers at delivery and in reference cohort outside war areas.
| 2015 | 2016 | 2018–2019 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Metal | N | 95th pct | 95% CI | N | 95th pct | 95% CI | N | 95th pct | 95% CI * | Ref. |
|
| 502 | 29.69 | 24.0–49.1 | 78 | 44.6 | 31.9–1870.9 | 64 | 29.9 | 17.6–1600.0 | <4.64 |
|
| 502 | 0.234 | 0.20–0.27 | 78 | 0.463 | 0.193–30.6 | 64 | 0.456 | 0.369–11.6 | <0.2 |
|
| 502 | 0.24 | 0.2–0.3 | 78 | 0.66 | 0.43–1.2 | 64 | 0.97 | 0.50–2.6 | <0.2 |
|
| 502 | 0.57 | 0.37–0.76 | 78 | 1.68 | 0.99–6.8 | 64 | 13.1 | 1.7 -33.0 | 0.01–0.30 |
|
| 502 | 2.91 | 2.53–3.3 | 78 | 3.73 | 2.7–12.1 | 64 | 4.4 | 3.3–7.4 | 0.01–0.20 |
|
| 502 | 1.63 | 1.1–4.8 | 78 | 2.16 | 0.94–20.5 | 64 | 0.76 | 0.26–22.4 | <0.6 |
|
| 502 | 0.26 | 0.21–0.32 | 78 | 0.22 | 0.12–0.41 | 64 | 0.08 | 0.07–0.214 | 0.03–1.00 |
|
| 502 | 0.88 | 0.86–0.95 | 78 | 0.75 | 0.51–9.1 | 64 | 1.16 | 0.88–26.1 | 0.40–1.70 |
|
| 502 | 136 | 122.3–160.2 | 78 | 201 | 109.8–436.3 | 64 | 166 | 124.3–418.0 | 0.65 -6.90 |
|
| 502 | 0.82 | 0.73-1.0 | 78 | 2.75 | 1.5–5.6 | 64 | 3.1 | 1.7–6.1 | <1.50 |
|
| 502 | 0.53 | 0.46-0.68 | 78 | 0.41 | 0.29–0.93 | 64 | 0.54 | 0.36–1.7 | <0.10 |
|
| 502 | 1.4 | 1.26-1.56 | 78 | 1.8 | 1.3–6.5 | 64 | 1.4 | 1.1–2.0 | 0.01–0.20 |
N, number of tested samples. 95th pct = 95th percentile; 95%CI: 95% confidence intervals of 95th pct. Ref. = Reference values. * For the 2018–2019 estimates, the upper confidence limit held at maximum of sample due to the small sample size. Highlighted in blue, are the values significantly higher than those in the reference samples from area not involved in military attacks, from Western countries.
Comparison of the median metal concentration in hair of the cohort of mothers by period.
| 2015 (N = 502) | 2016 (N = 78) | 2018–2019 (N = 64) |
| ||||
|---|---|---|---|---|---|---|---|
| Metal | Median | IQR | Median | IQR | Median | IQR | |
|
| 4.8 | 2.5–10.3 | 5.6 | 3.7–12.2 | 6.9 | 3.2–11.3 | 0.056 |
|
| 0.07 | 0.04–0.12 | 0.05 | 0.03–0.09 | 0.16 | 0.04–0.25 | <0.001 |
|
| 0.05 | 0.02–0.09 | 0.15 | 0.07–0.23 | 0.14 | 0.09–0.23 | <0.001 |
|
| 0.05 | 0.02–0.13 | 0.11 | 0.04–0.20 | 0.20 | 0.07–0.63 | <0.001 |
|
| 0.67 | 0.33–1.2 | 1.2 | 0.69–1.9 | 1.2 | 0.70–2.2 | <0.001 |
|
| 0.19 | 0.10–0.35 | 0.29 | 0.13–0.44 | 0.01 | 0.0–0.08 | <0.001 |
|
| 0.06 | 0.04–0.11 | 0.06 | 0.03–0.08 | 0.02 | 0.0–0.04 | <0.001 |
|
| 0.65 | 0.54–0.74 | 0.33 | 0.20–0.45 | 0.42 | 0.28–0.58 | <0.001 |
|
| 49.2 | 32.0–75.0 | 51.1 | 36.2–76.1 | 66.5 | 44.4–89.3 | 0.018 |
|
| 0.26 | 0.16–0.41 | 0.59 | 0.28–0.92 | 0.34 | 0.04–0.69 | <0.001 |
|
| 0.15 | 0.09–0.27 | 0.12 | 0.07–0.20 | 0.15 | 0.06–0.27 | 0.041 |
|
| 0.43 | 0.19–0.74 | 0.70 | 0.41–1.1 | 0.64 | 0.37–0.98 | <0.001 |
IQR = Interquartile Range; p = p-value for the comparison by period (Kruskal-Wallis test).