| Literature DB >> 35450002 |
Sahar Zedan Zaien1, Amira Abdallah El-Houfey2,3, Hanadi Alqahtani1, Hanan Abd Elwahab El Sayed4,5, Wafaa Taha Elgzar6,7, Rasha Mohamed Essa6, Hala Bayomy8,9, Heba Abdel-Fatah Ibrahim7,10.
Abstract
According to Saudi Arabia's 2030 vision, research should be directed to prevention, early detection, and intervention to reduce all types of disability. The current study aimed to investigate the predictors of Premarital Screening and Genetic Counseling (PMSGC) knowledge and attitude among deaf and hard hearing females' in Tabuk, Saudi Arabia. Descriptive correlational design was conducted on a convenience sample of 67 deaf and hard hearing students from the Tabuk region. Data were collected by an electronic questionnaire elaborated to the participants using sign language. The results revealed that most participants had incorrect answers regarding most PMSGC questions. Around two-thirds (68.7%, 65.7%, and 71.6%) of them strongly agree that PMSGC is very important, compatible with Islamic principles, and prevents family social and psychological problems, respectively. Older, urban area residents and university-educated participants have significantly higher knowledge and attitude scores than their peers (t=2.239, 4.887, 4.790 & p<0.05), respectively. Multiple regression shows that age (b=0.302, t=-2.795, p=0.007), education (b=0.336, t=2.425, p=0.019), mothers' education (b=0.314, t=2.345, p=0.023), and monthly income (b=-0.337, t=-2.503, p=0.015), are significant predictors of PMSGC knowledge. Furthermore, age (b=0.659, t=4.024, p=0.000), residence (b=0.293, t=2.233, p=0.030), education (b=-0.395, t=3.028, p=0.004), and type of disability (b=-0.443, t=-3.763, p=0.000) are significant predictors of PMSGC attitude. Although most deaf and hard hearing females have incorrect knowledge regarding PMSGC, most have a positive attitude. The study concluded that participants' education, mothers' education, and monthly income are significant predictors of PMSGC knowledge. Moreover, age, residence, education, and type of disability were significant predictors of higher PMSGC attitudes. ©Carol Davila University Press.Entities:
Keywords: KSA – Kingdom of Saudi Arabia; PMSGC – Premarital Screening and Genetic Counseling; attitude; deafness; genetic counseling; knowledge
Mesh:
Year: 2022 PMID: 35450002 PMCID: PMC9015174 DOI: 10.25122/jml-2021-0165
Source DB: PubMed Journal: J Med Life ISSN: 1844-122X
Participants' knowledge regarding PMSGC (N=67).
| Participants' knowledge | Correct answer | Incomplete | Incorrect answer | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
|
| 6 | 9.0 | 14 | 20.9 | 47 | 70.1 |
|
| 8 | 11.9 | 12 | 17.9 | 47 | 70.1 |
|
| 9 | 13.4 | 7 | 10.4 | 51 | 76.1 |
|
| 13 | 19.4 | 2 | 3.0 | 52 | 77.6 |
|
| 20 | 29.9 | - | - | 47 | 70.1 |
|
| 13 | 19.4 | - | - | 54 | 80.6 |
|
| 10 | 14.9 | 20 | 29.9 | 37 | 55.2 |
Participants' attitude towards PMSGC (N=67).
| Attitude | Strongly disagree | Disagree | Indifference | Agree | Strongly agree | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| No | % | No | % | No | % | No | % | No | % | |
|
| 0 | 0.0 | 0 | 0.0 | 10 | 14.9 | 11 | 16.4 | 46 | 68.7 |
|
| 2 | 3.0 | 4 | 6.0 | 8 | 11.9 | 13 | 19.4 | 40 | 59.7 |
|
| 0 | 0.0 | 2 | 3.0 | 18 | 26.9 | 13 | 19.4 | 34 | 50.7 |
|
| 2 | 3.0 | 2 | 3.0 | 10 | 14.9 | 9 | 13.4 | 44 | 65.7 |
|
| 0 | 0.0 | 0 | 0.0 | 2 | 3.0 | 17 | 25.4 | 48 | 71.6 |
|
| 0 | 0.0 | 0 | 0.0 | 8 | 11.9 | 19 | 28.4 | 40 | 59.7 |
|
| 0 | 0.0 | 8 | 11.9 | 10 | 14.9 | 19 | 28.4 | 30 | 44.8 |
|
| 0 | 0.0 | 0 | 0.0 | 10 | 14.9 | 11 | 16.4 | 46 | 68.7 |
|
| 0 | 0.0 | 2 | 3.0 | 6 | 9.0 | 17 | 25.4 | 42 | 62.7 |
|
| 0 | 0.0 | 2 | 3.0 | 6 | 9.0 | 15 | 22.4 | 44 | 65.7 |
Association between participants' basic data and knowledge and attitude score regarding PMSGC (N=67).
| Variable | Knowledge | Attitude | ||||
|---|---|---|---|---|---|---|
| Mean±SD | t/F | P | Mean±SD | t/F | p | |
|
| 2.239 | 0.029* | 4.887 | 0.000** | ||
| <20 years | 1.25±0.70 | 35.00±8.68 | ||||
| ≥20 years | 3.93±3.35 | 45.32±5.11 | ||||
|
| 1.338 | 0.186 | 4.790 | 0.000** | ||
| Rural | 1.50±0.57 | 31.42±0.58 | ||||
| City | 3.74±3.33 | 44.92±5.77 | ||||
|
| 4.462 | 0.000** | 1.193 | 0.237 | ||
| Secondary School | 1.43±0.66 | 42.78±8.41 | ||||
| University | 4.75±3.5 | 44.77±5.22 | ||||
|
| 1.759 | 0.164 | 1.325 | 0.274 | ||
| Illiterate | 3.05±2.51 | 43.64±6.21 | ||||
| Read and write | 4.20±3.48 | 46.53±5.78 | ||||
| Secondary education | 2.47±3.28 | 44.47±8.07 | ||||
| University education | 4.72±3.51 | 42.11±5.41 | ||||
|
| 1.029 | 0.363 | 0.497 | 0.611 | ||
| Less than 5,000 SR per month | 4.42±3.17 | 45.28±4.93 | ||||
| From 5,000 to 10,000 SR per month | 3.63±3.20 | 43.46±6.58 | ||||
| More than 10,000 SR per month | 2.58±3.60 | 44.83±7.96 | ||||
|
| 0.566 | 0.574 | 0.702 | 0.485 | ||
| Deafness | 3.42±3.070 | 44.55±6.92 | ||||
| Hard hearing | 3.88±3.59 | 43.40±5.88 | ||||
|
| 2.945 | 0.091 | 0.460 | 0.500 | ||
| 1st degree relatives | 3.04±2.63 | 45.07±5.87 | ||||
| 2nd degree relatives | 3.84±3.62 | 41.07±8.21 | ||||
| No history | 5.15±4.35 | 44.00±6.08 | ||||
|
| 0.671 | 0.569 | 1.150 | 0.352 | ||
| Yes | 4.93±2.84 | 47.33±4.61 | ||||
| No | 3.29±0.41 | 44.12±6.57 | ||||
|
| 18.705 | 0.000** | 0.889 | 0.416 | ||
| Yes | 9.5000 | 2.07364 | 47.00±0.89 | |||
| No | 4.8824 | 2.52196 | 45.05±4.80 | |||
| Don't know | 2.6364 | 2.83738 | 43.59±7.37 | |||
** P significant at ≤0.001; t – independent t-test; F – One way ANOVA.
Predictors of premarital counseling and genetic screening knowledge and attitude among the study participants (N=67).
| Variables | Knowledge | Attitude | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B | SE b | ® | t | P | 95.0% Confidence Interval for B | B | SE b | ® | t | p | 95.0% Confidence Interval for B | |
|
| 1.268 | 0.454 | 0.302 | 2.795 | 0.007* | [0.359, 2.175] | 13.135 | 3.264 | 0.659 | 4.024 | 0.000* | [6.598, 19.672] |
|
| -0.059 | 1.963 | -0.004 | -0.030 | 0.976 | [-3.990, 3.872] | 7.996 | 3.582 | 0.293 | 2.233 | 0.030* | [0.824, 15.168] |
|
| 2.357 | 0.972 | 0.336 | 2.425 | 0.019* | [0.410, 4.303] | -5.370- | 1.773 | -0.395 | -3.028 | 0.004* | [-8.920, -1.819] |
|
| 0.921 | 0.393 | 0.314 | 2.345 | 0.023* | [0.134, 1.707] | -0.635- | 0.716 | -0.112 | -.886- | 0.379 | [-2.069, 0.799] |
|
| -1.803 | 0.720 | -0.337 | -2.503 | 0.015* | [-3.245, -0.360] | 0.642 | 1.314 | 0.062 | .489 | 0.627 | [-1.989, 3.27] |
|
| 1.331 | 0.851 | 0.196 | 1.563 | 0.124 | [-0.373, 3.034] | -5.842- | 1.553 | -0.443 | -3.763 | 0.000** | [-8.950, -2.732] |
|
| 1.002 | 1.790 | 0.098 | 0.560 | 0.578 | [-2.581, 4.585] | .729 | .827 | 0.090 | 0.881 | 0.382 | [-0.927, 2.385] |
|
| -1.963- | 1.822 | -.122 | -1.078 | 0.286 | [-5.611, 1.685] | -2.248- | 3.324 | -0.072- | -.677 | 0.501 | [-8.903, 4.406] |
|
| -0.375- | 0.509 | -0.097- | -0.737- | 0.464 | [-1.394, 0.644] | 0.012 | 0.929 | 0.002 | .013 | 0.990 | [-1.847, 1.871] |
|
| 0.423 | 0.489 | ||||||||||
|
| 4.638 (0.000**) | 6.065 (0.000) | ||||||||||
* P significant at ≤0.001; ** P highly significant at ≤0.001.