| Literature DB >> 28844184 |
Inger Økland1, Jon Øyvind Odland2, Silvinia Matiocevich3, Marisa Viviana Alvarez4, Torbjørn Aarsland5, Evert Nieboer6, Solrunn Hansen2.
Abstract
Several ongoing international multidisciplinary projects have examined linkages between environmental chemicals and health. In contrast to Arctic regions, information for the Southern Hemisphere is scarce. Because of the inherent practice of pesticide utilisation and mismanagement, food security is potentially threatened. The most vulnerable period in human life occurs during pregnancy and early childhood, thus a focus on the body burdens of PTS in pregnant or delivering women is warranted. The current study was designed to investigate health risks related to exposure to PTS and food security in two regions of Argentina (Ushuaia and Salta). Our aims were to quantify concentrations of organic and inorganic toxins in serum or whole blood of delivering women and to collect pertinent dietary and medical information. The overall study design, the basic demographic features and essential clinical chemistry findings are described in the current paper. The socioeconomic differences between the two study areas were evident. On average, the women in Ushuaia were 4 years older than those in Salta (28.8 vs. 24.7 years). Respectively, the proportion of current smokers was 4.5 vs. 9.6%; and Salta had a higher birth rate, with 15.6% being para four or more. Saltanean women reported longer breastfeeding periods. Caesarean sections were more frequent in Ushuaia, with 43% of Caesarean deliveries compared with only 6% in Salta. Employment was high in both communities. Recognised environmental pollution sources in the vicinity of participant dwellings were widespread in Salta (56.1%) compared to Ushuaia (9%). The use of pesticides for insect control in homes was most common in Salta (80%). There is an urgent need for a comprehensive assessment of exposures in areas of the Southern Hemisphere. Our data set and the planned publications of observed concentrations of inorganic and organic environmental contaminants in both mothers and their newborns will contribute to this objective.Entities:
Keywords: Argentina; Pregnancy; human levels; persistent toxic substances (PTS)
Mesh:
Substances:
Year: 2017 PMID: 28844184 PMCID: PMC5645782 DOI: 10.1080/22423982.2017.1364598
Source DB: PubMed Journal: Int J Circumpolar Health ISSN: 1239-9736 Impact factor: 1.228
Figure 1.Map of South America with the study areas Salta and Ushuaia, Argentina.
Personal characteristics of the study population from Ushuaia and Salta.
| Ushuaia (n = 200) | Salta (n = 98) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean (SD) or n (%) | 50th | min–max | n | Mean (SD) or n (%) | 50th | min–max | p-valuea | |
| Age | 200 | 28.8 (6.5) | 28 | 16–45 | 498 | 24.7 (6.2) | 23 | 14–44 | *** |
| ≤20 | 28 (14.0) | 177 (35.5) | |||||||
| 21–25 | 45 (22.5) | 133 (26.7) | |||||||
| 26–30 | 55 (27.5) | 102 (20.5) | |||||||
| 31–35 | 38 (19.0) | 57 (11.4) | |||||||
| >35 | 34 (17.0) | 29 (5.8) | |||||||
| Marital status | 200 | 498 | *** | ||||||
| Married | 72 (36.0) | 56 (11.2) | |||||||
| Cohabiting | 106 (53.0) | 283 (56.8) | |||||||
| Divorced | 1 (0,5) | 3 (0.6) | |||||||
| Single | 21 (10.5) | 156 (31.3) | |||||||
| Education | 200 | 498 | *** | ||||||
| Primary | 7 (3.5) | 161 (32.3) | |||||||
| Secondary | 97 (48.5) | 284 (57.0) | |||||||
| Tertiary | 56 (28.0) | 40 (8.0) | |||||||
| University | 40 (20.0) | 12 (2.4) | |||||||
| Permanent job | 200 | 132 (66.0) | 494 | 84 (17.0) | |||||
| Height, cm | 200 | 162 (6.0) | 162 | 147–181 | 496 | 158 (5.8) | 158 | 140–176 | *** |
| Weight, pre-pregnancy, kilob | 192 | 62 (11.0) | 60 | 40–111 | 449 | 59 (11.0) | 57 | 35–109 | *** |
| BMI, pre-pregnancy, kg/m2 | 192 | 24 (4.0) | 23 | 16–41 | 447 | 24 (4.2) | 23 | 15–40 | |
| Weight, post-partum, kilo | 200 | 74 (11.0) | 72 | 50–120 | 490 | 65 (11.2) | 64 | 40–111 | *** |
| Smoking, current | 200 | 9 (4.5) | 498 | 48 (9.6) | * | ||||
| Smoking last year | 200 | 57 (28.5) | 498 | 127 (25.5) | |||||
| Home indoor smoking | 200 | 56 (28.0) | 495 | 208 (42.0) | ** | ||||
| Amalgam fillings ever | 199 | 89 (44.7) | 481 | 338 (70.3) | *** | ||||
| Year of living current home | 200 | 6.7 (7.6) | 3 | 1–32 | 497 | 11.1 (9.7) | 9 | 1–42 | *** |
| Nationality | 200 | 497 | |||||||
| Argentina | 197 (98.5) | 482 (96.8) | |||||||
| Otherc | 3 (1.5) | 15 (3) | |||||||
| Year of examination | 200 | 498 | *** | ||||||
| 2011 | 200 (100) | 366 (73.5) | |||||||
| 2012 | 132 (26.5) | ||||||||
a*, **, *** represent p-value <0.05, 0.010, 0.001, respectively; b based on self-reported pre-pregnancy weight; c Chile, Peru, Korean (Ushuaia); Bolivia (n = 13) and Paraguay (n = 2) (Salta).
Selected maternal and newborn characeristics for the two study groups.
| Ushuaia (n = 200) | Salta (n = 498) | p-valuea | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean (SD) or n (%) | 50th | min-max | n | Mean (SD) or n (%) | 50th | min-max | ||
| Parityb | 200 | 1.9 (0.96) | 2 | 1–7 | 498 | 2.2 (1.5) | 2 | 1–8 | ** |
| 1 | 82 (41.0) | 221 (44.4) | |||||||
| 2 | 75 (37.5) | 121 (24.3) | |||||||
| 3 | 33 (16.5) | 78 (15.7) | |||||||
| ≥4 | 10 (5.0) | 78 (15.6) | |||||||
| Previous breastfeeding, month | 116 | 20.4 (19.6) | 16 | 0–156 | 268 | 34.3 (29.0) | 24 | 0–217 | *** |
| Vitamin supplements before pregnancy | 198 | 30 (15.2) | 493 | 32 (6.5) | *** | ||||
| Vitamin supplements during pregnancy | 198 | 77 (38.9) | 490 | 137 (28.0) | ** | ||||
| Folic acid before pregnancy | 196 | 46 (23.5) | 482 | 42 (8.7) | *** | ||||
| Folic acid during pregnancy | 199 | 168 (84.4) | 494 | 289 (58.5) | *** | ||||
| Caesarean Section, elective | 199 | 46 (23.0) | 498 | 9 (1.8) | *** | ||||
| Caesarean Section, acute | 199 | 41 (20.5) | 498 | 19 (3.8) | *** | ||||
| Gender newborn, girl | 104 (52) | 479 | 257 (53.7) | ||||||
| Length, cm | 198 | 49.6 (2.1) | 50 | 42–54 | 492 | 48.5 (2.2) | 49 | 41–55 | *** |
| Weight, kilo | 198 | 3.38 (0.44) | 3.38 | 2.12–4.50 | 491 | 3.29 (0.48) | 3.3 | 1.65–5.20 | * |
| Head, cm | 197 | 34.9 (1.5) | 35 | 31–40 | 491 | 34.3 (1.4) | 34 | 28–38 | *** |
| Gestational age, weeks | 199 | 38.8 (1.4) | 39 | 32–41 | 461 | 38.8 (1.3) | 38.8 | 33–42 | |
a*, **, *** represent p-value <0.05, 0.010, 0.001, respectively; b Total number of childbirths including stillborns after week 23. Twins count as one birth and one pair of twins is included.
Environmental characteristics of the study population from Ushuaia and Salta.
| Ushuaia (n = 200) | Salta (n = 498) | p-valuea | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean (SD) or n (%) | 50th | min–max | n | Mean (SD) or n (%) | 50th | min–max | ||
| Area home | |||||||||
| Urban residence | 183 (91.5) | 432 (86.7) | |||||||
| Semi-urban | 15 (7.5) | 35 (7) | |||||||
| Rural | 2 (1) | 31 (6.2) | |||||||
| Current home | |||||||||
| Years of living | 6.7 (7.6) | 3 | 1–32 | 11.1 (9.7) | 9 | 1–42 | *** | ||
| Owned | 110 (55.0) | 387 (77.7) | *** | ||||||
| Rented | 86 (43.0) | 56 (11.2) | *** | ||||||
| Other | 9 (4.5) | 72 (14.5) | |||||||
| Type of home | |||||||||
| House | 138 (69.0) | 393 (78.9) | ** | ||||||
| Flat | 62 (31.0) | 23 (4.6) | *** | ||||||
| Shared | 108 (21.7) | ||||||||
| Tenement | 12 (2.4) | ||||||||
| Informal | 43 (8.6) | ||||||||
| Other | 125 (25.1) | ||||||||
| Fuel cooking | |||||||||
| Gas | 200 (100) | 492 (98.8) | |||||||
| Wood | 1 (0.5) | 34 (6.8) | ** | ||||||
| Coal | 24 (4.8) | ** | |||||||
| Electricity | 1 (0.5) | 6 (1.2) | |||||||
| Other | 4 (2.0) | 2 (0.4) | * | ||||||
| Fuel heating | |||||||||
| Gas | 195 (97.5) | 73 (14.7) | *** | ||||||
| Wood | 5 (2.5) | 22 (4.4) | |||||||
| Electricity | 11 (5.5) | 242 (48.6) | *** | ||||||
| Coal | 27 (5.4) | ||||||||
| None | 152 (30.5) | ||||||||
| Other | 13 (6.5) | 4 (0.8) | *** | ||||||
| Drinking water, sources | |||||||||
| Running/community tap | 163 (81.5) | 491 (98.6) | *** | ||||||
| Well, rain, river | 1 (0.5) | 1 (1.4) | |||||||
| Other sources (bottled) | 56 (28.0) | 5 (1.0) | *** | ||||||
| People in home | 199 | 4.3 (1.6) | 4 | 2–15 | 497 | 6.6 (3.5) | 6 | 1–23 | *** |
| Partner, permanent job | 187 | 177 (94.7) | 338 | 325 (96.2) | |||||
| Partner, education | 186 | 340 | *** | ||||||
| Primary education | 19 (10.2) | 144 (42.4) | |||||||
| Secondary education | 106 (57.0) | 169 (49.7) | |||||||
| Tertiary education | 25 (13.4) | 17 (5.0) | |||||||
| University education | 35 (18.8) | 8 (2.4) | |||||||
| No education | 1 (0.5) | 2 (0.6) | |||||||
| Harvesting own food | |||||||||
| Growing own food | 200 | 4 (2.0) | 491 | 52 (10.6) | *** | ||||
| Go fishing (family) | 67 (33.5) | 139 (28.1) | |||||||
| Eat their own fish | 41 (61.2) | 101 (71.6) | |||||||
| Pollutants | |||||||||
| Lead use repairing home | 200 | 53 (26.5) | 497 | 231 (46.5) | ** | ||||
| do not know | 57 (28.5) | 28 (5.6) | |||||||
| Pollution around home | 200 | 18 (9.0) | 494 | 277 (56.1) | *** | ||||
| Pesticide insect control home | 195 | 9 (4.6) | 497 | 398 (80.1) | *** | ||||
| Pesticide use garden | 197 | 2 (1.0) | 490 | 53 (10.8) | *** | ||||
| Control programme insectsb | 200 | 467 | 157 (33.6) | ||||||
a*, **, *** represent p-value <0.05, <0.010, <0.001, respectively; bChangas, Dengue, Yellow Fever or Malaria Control Programme.
Figure 2.Maternal intake (%) of dietary items in (a) Ushia and (b) Salta. The intake frequencies depicted were significantly different between the two communities at p < 0.05 or better, with the exception of vegetables roots, fruits and butter/cheese (p ≥ 0.05) (see Supplementary Table S1).
Concentrations of maternal serum CRP, ferritin, lipids and estradiol sampled at a median of 1-day post partum.
| Ushuaia (n = 200) | Salta (n = 498) | p-value | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Mean | SD | Median | Min | Max | n | Mean | SD | Median | Min | Max | ||
| C-reactive protein (CRP), mg/L | 199 | 56 | 42 | 45 | 3 | 280 | 471 | 41 | 33 | 31 | 5 | 331 | <0.001 |
| Ferritin, ng/mL | 199 | 36 | 32 | 26 | 6 | 245 | 464 | 18 | 16 | 13 | 2 | 181 | <0.001 |
| Cholesterol, total, mg/dL | 199 | 225 | 65 | 219 | 88 | 602 | 471 | 210 | 45 | 203 | 119 | 394 | <0.001 |
| Triglycerides, mg/dL | 199 | 220 | 76 | 207 | 72 | 488 | 471 | 183 | 68 | 173 | 53 | 496 | <0.001 |
| Phospholipids, mg/dl | 471 | 208 | 45 | 201 | 118 | 357 | |||||||
| HDL Cholesterol, mg/dl | 471 | 47 | 12 | 47 | 22 | 137 | |||||||
| LDL Cholesterol, mg/dl | 196 | 134 | 53 | 131 | 33 | 386 | 471 | 127 | 35 | 128 | 12 | 297 | <0.001 |
| Estradiol, pg/mLa | 199 | 181 | 124 | 148 | 29 | 883 | 470 | 731 | 672 | 499 | 74 | 3813 | <0.001 |
a The concentrations mU/mL of follicle-stimulating hormone (FSH) and luteinising hormone (LH) were mostly at around the detection limit.
Figure 3.Distribution of maternal estradiol (pg/mL) by day of sampling post-partum.