| Literature DB >> 32984178 |
Wejdan Alhamdan1, Afaf Moukaddem2, Nourh AlOtaibi1, Adibah Aledrees1, Nada Alhatem1, Nada Alshehri1, Samaher Alfaraj1,3, Maysoon Aladham1,4.
Abstract
AIM: To investigate the knowledge of Saudi women regarding the teratogenic effects of environmental agents such as fever, some chronic conditions and medications and its association with certain socio-demographic factors.Entities:
Keywords: Childbearing age; Saudi Arabia; knowledge; teratogens
Year: 2020 PMID: 32984178 PMCID: PMC7491822 DOI: 10.4103/jfmpc.jfmpc_173_20
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Characteristics of study subjects (n=315)
| Variable | Frequency (%) |
|---|---|
| Age | |
| 18-27 years old | 85 (27.0) |
| 28-37 years old | 175 (55.6) |
| 38-45 years old | 55 (17.5) |
| Marital status | |
| Single | 14 (4.4) |
| Married | 296 (94.0) |
| Divorced | 4 (1.3) |
| Widowed | 1 (0.3) |
| Educational level | |
| Illiterate | 9 (2.9) |
| High school or lower | 107 (34.0) |
| University | 182 (57.8) |
| Higher studies | 17 (5.4) |
| Profession | |
| Homemaker | 176 (56.2) |
| Teacher | 64 (20.4) |
| Health professional | 25 (8.0) |
| Student | 27 (8.6) |
| Others | 21(6.7) |
| Current pregnancy | 204 (64.8) |
| Previous pregnancies | |
| None | 61 (19.6) |
| One pregnancy | 52 ( 16.7) |
| Two pregnancies | 53 (17.0) |
| Three or more pregnancies | 146 (46.8) |
| Number of Miscarriages | |
| None | 166 (53.2) |
| One | 73 (23.4) |
| Two | 34 (10.9) |
| Three or more | 39 (12.5) |
| Child with congenital malformation | 25 (7.9) |
| Monthly income | |
| <5,000 SR | 49 (16.6) |
| 5,000-9,999 SR | 128 (43.4) |
| 10,000- 15,000 SR | 66 (22.4) |
| >15, 000 SR | 51 (17.3) |
Knowledge of females on common teratogenic risks
| Statement | Strongly disagree | Disagree | Do not know | Agree | Strongly agree |
|---|---|---|---|---|---|
| Fever in pregnancy can lead to congenital malformations | 14 (4.4) | 70 (22.2) | 134 (42.5) | 85 (27.0) | 12 (3.8) |
| A pregnant female with fever does not need treatment because fever is not associated with malformations | 108 (34.6) | 111 (35.6) | 59 (18.9) | 28 (9.0) | 6 (1.9) |
| If pregnant female has German measles, fetus can develop malformations | 14 (4.5) | 22 (7.0) | 150 (47.8) | 102 (32.5) | 26 (8.3) |
| Syphilis in pregnancy does not affect the fetus | 52 (16.6) | 61 (19.5) | 147 (47.0) | 43 (13.7) | 10 (3.2) |
| Herpes infection in pregnancy can lead to congenital malformations | 8 (2.6) | 47 (15.1) | 138 (44.4) | 96 (30.9) | 22 (7.1) |
| There is no association between gestational diabetes and congenital malformations | 41 (13.1) | 80 (25.6) | 73 (23.3) | 102 (32.6) | 17 (5.4) |
| There is a relationship between irregular BSL and congenital malformations | 19 (6.1) | 77 (24.9) | 104 (33.7) | 87 (28.2) | 22 (7.1) |
| Insulin use in pregnancy can harm the fetus | 67 (21.3) | 125 (39.8) | 91 (29.0) | 28 (8.9) | 3 (1.0) |
| Thyroid problems in pregnancy have no effect on the fetus | 28 (9.0) | 80 (25.7) | 124 (39.9) | 74 (23.8) | 5 (1.6) |
| Stopping thyroid medication in pregnancy is important for fetal safety | 40 (12.8) | 56 (17.9) | 130 (41.5) | 74 (23.6) | 13 (4.2) |
| Using antiepileptics during pregnancy can harm the fetus | 4 (1.3) | 27 (8.7) | 145 (46.6) | 109 (35.0) | 26 (8.4) |
| Pregnant should not use antiepileptics even if she needs it | 16 (5.2) | 60 (19.4) | 146 (47.1) | 69 (22.3) | 19 (6.1) |
| Vitamin A is an important vitamin to take in pregnancy | 16 (5.1) | 32 (10.3) | 76 (24.4) | 163 (52.4) | 24 (7.7) |
| There is no association between Vitamin A intake in pregnancy and congenital malformations | 33 (10.6) | 55 (17.7) | 164 (52.7) | 52 (16.7) | 7 (2.3) |
| In pregnancy planning, Ro-Accutane tabs should be stopped | 10 (3.2) | 6 (1.9) | 67 (21.6) | 88 (28.4) | 139 (44.8) |
| Medications for mental illnesses can cause congenital malformations | 4 (1.3) | 20 (6.4) | 141 (45.2) | 109 (34.9) | 38 (12.2) |
| All medications for medical illnesses should be stopped in pregnancy | 6 (1.9) | 34 (10.9) | 124 (39.7) | 106 (34.0) | 42 (13.5) |
Bivariate associations of various predictors and teratogen knowledge score
| Variables | Knowledge score Median (???Q1-Q3) | |
|---|---|---|
| Age | ||
| 18-37 years old | 7 (4-9) | 0.04* |
| 38-45 years old | 8 (6-10) | |
| Marital status | ||
| Single | 8 (6-10) | 0.29 |
| Ever Married | 7 (5-9) | |
| Educational level | ||
| Low | 7 (5-9) | 0.01* |
| High | 9 (8-11) | |
| Profession | ||
| Unemployed | 7 (4-9) | 0.01* |
| Employed | 8 (5-10) | |
| Current pregnancy | ||
| No | 8 (5-9) | 0.60 |
| Yes | 7 (5-9) | |
| Previous pregnancies | ||
| None | 8 (4-9) | 0.90 |
| ≥1 | 7 (5-9) | |
| Miscarriages | ||
| None | 7 (4-9) | 0.20 |
| ≥1 | 7 (5-9) | |
| Child with congenital malformation | ||
| No | 7 (5-9) | 0.90 |
| Yes | 7 (5-9) | |
| Monthly income | ||
| <5,000 SR | 6 (4-8) | 0.001* |
| 5,000-15,000 SR | 7 (5-9) | |
| >15,000 SR | 8 (6-11) |
*P < 0.05 for statistically significant. Qَ1: 25th percentile, Q3: 75th percentile