| Literature DB >> 32140003 |
Eghosa Morgan1, Perpetua I Agbeboh2, Charles O Poluyi3, Chibuikem A Ikwuegbuenyi3, Amy O Aphiar3, Akhere D Asogun4.
Abstract
Background One of the congenital central nervous system malformations with great impact on the mental and psychosocial development of children is congenital hydrocephalus and it happens to be one of the most common. A large vacuum exists between knowledge on maternal environmental risk factors associated with congenital hydrocephalus, most especially in our rural community which consists of a large segment of our society. Our study aimed to determine the knowledge and perception of mothers on factors existing in the maternal environment that potentially puts an increased risk of developing congenital hydrocephalus. Materials and Methods This was a cross-sectional study design spanning a period of 8 months (March 2018-October 2018), in which the knowledge and perception of the risk factors of congenital hydrocephalus among mothers attending antenatal clinic in Irrua specialist teaching hospital, a rural tertiary hospital in Irrua, Edo state, Nigeria, were assessed using a random sampling technique. Interviewer-administered questionnaires (reviewed and validated) were used. The data collected were entered and analyzed using SPSS version 21. Results The findings showed varying levels of knowledge of congenital hydrocephalus. Less than half (44.0%) of the respondents had poor knowledge, 34.5% had fair knowledge, and 21.6% had good knowledge. There was a statistically significant relationship between knowledge of congenital hydrocephalus and respondents' knowledge of the risk factors of congenital hydrocephalus. Most (52.6%) had good perception of the risk factors of congenital hydrocephalus, while 23.3% had poor perception. Conclusion This study revealed a fairly good knowledge of congenital hydrocephalus and its risk factors among mothers, most especially those with a good level of education.Entities:
Keywords: antenatal; assessment; congenital hydrocephalus; knowledge; perception; risk factor
Year: 2020 PMID: 32140003 PMCID: PMC7055614 DOI: 10.1055/s-0039-1700602
Source DB: PubMed Journal: J Neurosci Rural Pract ISSN: 0976-3155
Sociodemographic characteristics of respondents
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|---|---|---|
| a Others: Urhobo 3 (2.6%); Yoruba 2 (1.7%); Owan 4 (3.4%). | ||
| Age group (years) | ||
| 20–29 | 47 | 40.5 |
| 30–39 | 54 | 46.6 |
| 40–49 | 15 | 12.9 |
| Mean ± standard deviation | 31.92 ± 5.38 | |
| Sex | ||
| Female | 116 | 100 |
| Ethnicity | ||
| Bini | 12 | 10.3 |
| Esan | 54 | 55.2 |
| Etsako | 30 | 25.9 |
| a Others | 10 | 8.6 |
| Religion | ||
| Christianity | 79 | 68.1 |
| Islam | 36 | 31.0 |
| African traditional | 1 | 9 |
| Marital status | ||
| Divorced | 5 | 4.3 |
| Married | 99 | 85.3 |
| Single | 11 | 9.5 |
| Widow/widower | 1 | 9 |
| Level of Education | ||
| No formal education | 7 | 6.0 |
| Primary | 7 | 6.0 |
| Secondary | 27 | 23.3 |
| Tertiary | 75 | 64.7 |
| Occupation | ||
| Civil servant | 48 | 41.4 |
| Doctor | 1 | 9 |
| Farmer | 6 | 5.2 |
| Self employed | 17 | 14.7 |
| Student | 8 | 6.9 |
| Trader | 36 | 31.0 |
| Number of Children | ||
| Nulliparous | 15 | 12.9 |
| 1-4 | 96 | 82.8 |
| >5 | 5 | 4.3 |
| Antenatal visit in last pregnancy | ||
| Yes | 93 | 80.2 |
Knowledge of congenital hydrocephalus among respondents
| Variable | Frequency | Percentage |
|---|---|---|
| Heard about congenital hydrocephalus |
| 64.7 |
| Knows what congenital hydrocephalus is |
| 12.1 |
| Knows its presentation |
| |
| Knows congenital hydrocephalus can be detected in pregnancy |
| 62.9 |
| Knows ways of detection during pregnancy |
| 59.5 |
| Has seen a child with congenital hydrocephalus |
| 51.7 |
| Can itemize problems or complications observed in the child |
| 24.1 |
| Thinks congenital hydrocephalus is associated with other diseases |
| 29.3 |
| Knows the diseases associated with congenital hydrocephalus |
| 22.4 |
Fig. 1Knowledge of congenital hydrocephalus among respondents.
Fig. 2Respondents source of information on congenital hydrocephalus.
Knowledge of risk factors of congenital hydrocephalus among respondents
| Risk factors of congenital hydrocephalus |
Frequency (
| Percent (%) |
|---|---|---|
| Age at primigravida | 69 | 59.5 |
| Low socioeconomic status | 60 | 51.7 |
| Lack of prenatal and antenatal care | 91 | 78.4 |
| Cultural factors | 46 | 39.7 |
| Family history | 73 | 62.9 |
| Hypertension | 59 | 50.9 |
| Smoking during the period of pregnancy | 82 | 70.7 |
| Maternal infections | 79 | 68.1 |
| Maternal diabetes | 65 | 56.0 |
| Maternal obesity | 67 | 57.8 |
| Trauma to the mother | 61 | 52.6 |
| Maternal drug abuse during the period of pregnancy | 86 | 74.1 |
| Maternal alcohol use during the period of pregnancy | 85 | 73.3 |
Fig. 3Knowledge of risk factors of congenital hydrocephalus among respondents.
Perception of risk factors of congenital hydrocephalus
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|
|---|---|---|
|
| ||
| Infants | 87 | 75.0 |
| Adults | 4 | 3.4 |
| Both | 25 | 21.6 |
| Age at primigravida | 68 | 58.6 |
| Low socioeconomic status | 51 | 44.0 |
| Lack of prenatal and antenatal care | 91 | 78.4 |
| Cultural beliefs and family history | 59 | 50.9 |
| Hypertension | 63 | 44.3 |
| Smoking during the period of pregnancy | 92 | 79.3 |
| Maternal infections | 89 | 76.7 |
| Maternal diabetes | 73 | 62.9 |
| Maternal obesity | 76 | 65.5 |
| Trauma to the mother | 64 | 55.2 |
| Maternal drug abuse and alcohol use during the period of pregnancy | 96 | 82.8 |
| Eating too much carbohydrate during the pregnancy period | 46 | 39.7 |
Fig. 4Perception of risk factors of congenital hydrocephalus among respondents.
Knowledge of congenital hydrocephalus and knowledge of risk factors
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|---|---|---|---|---|---|
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| ||
| a Statistically significant. | |||||
| Yes | 22 (88.0) | 30 (75.0) | 17 (33.3) | 26.902 | 0.000 a |
| Low socioeconomic status | |||||
| Yes | 19 (76.0) | 20 (50.0) | 21 (41.2) | 8.220 | 0.016 a |
| Lack of prenatal and antenatal care | |||||
| Yes | 25 (100.0) | 28 (95.0) | 28 (54.9) | 30.074 | 0.000 a |
| Cultural factors | |||||
| Yes | 16 (64.0) | 18 (45.0) | 12 (23.5) | 12.211 | 0.002 a |
| Family history | |||||
| Yes | 20 (80.0) | 33 (82.5) | 20 (39.2) | 21.984 | 0.000 a |
| Hypertension | |||||
| Yes | 21 (84.0) | 21 (52.5) | 17 (33.3) | 17.297 | 0.000 a |
| Smoking during the period of pregnancy | |||||
| Yes | 25 (100.0) | 36 (90.0) | 21 (41.2) | 39.005 | 0.000 a |
| Maternal infections | |||||
| Yes | 25 (100.0) | 36 (90.0) | 18 (35.3) | 45.810 | 0.000 a |
| Maternal diabetes | |||||
| Yes | 23 (92.0) | 26 (65.0) | 16 (31.4) | 27.022 | 0.000 a |
| Maternal obesity | |||||
| Yes | 21 (84.0) | 30 (75.0) | 16 (31.4) | 26.483 | 0.000 a |
| Trauma to the mother | |||||
| Yes | 18 (72.0) | 29 (72.5) | 14 (27.5) | 23.064 | 0.000 a |
| Maternal drug abuse during the period of pregnancy | |||||
| Yes | 24 (96.0) | 36 (90.0) | 26 (51.0) | 25.745 | 0.000 a |
| Maternal alcohol use during the period of pregnancy | |||||
| Yes | 24 (96.0) | 35 (87.5) | 26 (51.0) | 23.671 | 0.000 a |
Relationship between sociodemographic characteristics and perception of risk factors
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|---|---|---|---|---|---|
| a Statistically significant. | |||||
| Age group (years) |
|
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| ||
| 20–29 | 24 | 13 | 10 | 9.288 | 0.054 a |
| 30–39 | 34 | 9 | 11 | ||
| 40–49 | 3 | 6 | 6 | ||
| Sex | |||||
| Female | 61 | 28 | 27 | ||
| Marital status | |||||
| Divorced | 1 | 2 | 2 | 7.298 | 0.296 |
| Married | 56 | 21 | 22 | ||
| Single | 4 | 4 | 3 | ||
| Widow | 0 | 1 | 0 | ||
| Level of education | |||||
| No formal education | 0 | 3 | 4 | 22.276 | 0.001 a |
| Primary | 2 | 0 | 5 | ||
| Secondary | 12 | 9 | 6 | ||
| Tertiary | 47 | 16 | 12 | ||
| Occupation | |||||
| Civil servant | 30 | 11 | 7 | 14.695 | 0.144 |
| Doctor | 1 | 0 | 0 | ||
| Farmer | 1 | 2 | 3 | ||
| Self-employed | 10 | 6 | 1 | ||
| Student | 4 | 1 | 3 | ||
| Trader | 15 | 8 | 13 | ||
| Number of children | |||||
| 0 | 7 | 5 | 3 | 10.714 | 0.554 |
| 1 | 9 | 3 | 7 | ||
| 2 | 11 | 8 | 5 | ||
| 3 | 23 | 5 | 9 | ||
| 4 | 9 | 4 | 3 | ||
| 5 | 1 | 1 | 0 | ||
| 6 | 1 | 2 | 0 | ||
| Antenatal visit during the last pregnancy | |||||
| Yes | 9 | 7 | 7 | 2.091 | 0.352 |
| No | 52 | 21 | 20 | ||