| Literature DB >> 30337982 |
Enas R Abdel Hameed1, Lobna S Sherif1, Ola M Abdel Samie1, Hanaa H Ahmed2, Amira Ahmed3, Hala Atta3, Hisham Waheed1, Reham F Fahmy1.
Abstract
BACKGROUND: Mercury exists worldwide in food, water and air throwing its health hazards on all body systems. AIM: To show the influence of the presence of mercury in pregnant mothers' blood on its level in the umbilical cord blood; and to display the relationship between the different foodstuff on the mercury levels in pregnant mothers' and umbilical cord blood. PATIENTS AND METHODS: This cross-sectional study was conducted on randomly chosen 113 pregnant mothers at the time of labour and on their newborns. Full history, sociodemographic data and food frequency questionnaire for dietary assessment were recorded. The Maternal and neonatal anthropometric measurements together with the Apgar scoring were also measured. Serum mercury levels in both mothers' and umbilical cord blood were measured using the Inductively Coupled Plasma Mass Spectrometry (ICP-MS).Entities:
Keywords: Cord blood; Mercury; Nutrition; Pregnancy
Year: 2018 PMID: 30337982 PMCID: PMC6182524 DOI: 10.3889/oamjms.2018.364
Source DB: PubMed Journal: Open Access Maced J Med Sci ISSN: 1857-9655
Sociodemographic data of studied cases
| No | % | |
|---|---|---|
| Sex | ||
| Male | 51 | 45.1 |
| Female | 62 | 54.9 |
| Delivery mode | ||
| Normal | 63 | 55.8 |
| Caesarean section | 50 | 44.2 |
| Social status | ||
| Married | 112 | 99.1 |
| Divorced | 1 | 0.9 |
| Economic status | ||
| Responsible | 11 | 9.7 |
| Non-responsible | 102 | 90.3 |
| Water | ||
| Available at home | 112 | 99.1 |
| Outside home | 1 | 0.9 |
| Sanitary disposal | 113 | 100 |
| Smoking exposure | ||
| Yes | 93 | 82.3 |
| No | 20 | 17.7 |
| Mother education | ||
| 0 = illiterate | 10 | 8.8 |
| 1 = primary education | 31 | 27.4 |
| 2 = preparatory education | 18 | 15.9 |
| 3 = secondary education | 41 | 36.3 |
| 4 = high education | 13 | 11.5 |
Anthropometric and laboratory data of studied cases
| Mean | Std. Deviation | |
|---|---|---|
| Age in years | 26.72 | 5.6 |
| Weight in kilograms (kg) | 75.44 | 14.8 |
| Height in centimeter (cm) | 157.73 | 6.7 |
| Baby weight in kilograms | 2.95 | 0.6 |
| Baby length in centimeter(cm) | 47.44 | 3.3 |
| Head circumference in centimeter (cm) | 34.17 | 1.9 |
| Mid upper arm circumference in centimeter (cm) | 10.22 | 1.5 |
| APGAR1 | 5.76 | 1.6 |
| APGAR 5 | 8.03 | 1.6 |
| Gestational age in months | 36.90 | 2.1 |
| Serum maternal mercury (Hg) level ng/ml | 28.82 | 11.8 |
| Serum neonatal mercury(Hg) level ng/mL | 15.65 | 5.9 |
Correlation between serum maternal and neonatal mercury (Hg) levels
| Neonatal Hg | ||
|---|---|---|
| Pearson Correlation | ||
| Sig. (2-tailed) | ||
Significant value at p < 0.005.
Correlation between maternal food intake during pregnancy and serum maternal and neonatal mercury (Hg) levels
| Maternal food intake | Maternal Hg | Neonatal Hg | |
|---|---|---|---|
| Protein (meat and/or legumes) | Pearson Correlation | -0.094 | -0.067 |
| Sig. (2-tailed) | 0.350 | 0.509 | |
| Vegetables | Pearson Correlation | -0.124 | 0.000 |
| Sig. (2-tailed) | 0.217 | 0.999 | |
| Fruits | Pearson Correlation | -0.145 | -0.186 |
| Sig. (2-tailed) | 0.147 | 0.066 | |
| Fish | Pearson Correlation | -0.147 | -0.197 |
| Sig. (2-tailed) | 0.371 | 0.237 | |
| Dairy products | Pearson Correlation | 0.167 | 0.149 |
| Sig. (2-tailed) | 0.094 | 0.140 |