| Literature DB >> 24742222 |
Omar A Al-Farsi, Yahya M Al-Farsi1, Ishita Gupta, Allal Ouhtit, Khalil S Al-Farsi, Samir Al-Adawi.
Abstract
BACKGROUND: Despite that hereditary diseases are widespread among the Arab population due to high rates of consanguineous marriages, research regarding community awareness towards premarital carrier screening in some countries such as Oman, is extremely scarce. This study aimed to investigate knowledge and attitude towards premarital carrier screening (PMCS) in Oman.Entities:
Mesh:
Year: 2014 PMID: 24742222 PMCID: PMC4004421 DOI: 10.1186/1471-2458-14-380
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of participants in the evaluation of knowledge and attitude towards pre-marital counseling by gender, Oman, 2010
| | | |||
|---|---|---|---|---|
| | | | 0.44 | |
| 20 – 25 | 164 (41.0) | 93 (39.9) | 70 (42.0) | |
| 26 – 30 | 153 (38.3) | 86 (36.8) | 67 (40.1) | |
| 31 – 35 | 83 (20.7) | 54 (23.2) | 30 (17.9) | |
| | | | 0.03 | |
| Married | 237 (59.3) | 124 (53.1) | 114 (68.5) | |
| Single | 154 (38.4) | 106 (45.6) | 46 (27.8) | |
| Divorced | 7 (1.8) | 2 (0.9) | 5 (3.1) | |
| Widowed | 2 (0.5) | 1 (0.4) | 1 (0.6) | |
| | | | 0.11 | |
| <500 | 252 (63.0) | 147 (63.1) | 105 (62.9) | |
| 500-1000 | 128 (32.0) | 74 (31.8) | 54 (32.3) | |
| >1000 | 12 (3.0) | 10 (4.1) | 2 (1.9) | |
| | | | 0.19 | |
| High school level | 258 (64.5) | 161 (69.1) | 97 (58.1) | |
| Graduate & above | 142 (35.5) | 72 (30.9) | 70 (41.9) | |
| | | | 0.001 | |
| Unemployed | 112 (28.0) | 35 (15.1) | 82 (49.1) | |
| Employed | 283 (72.0) | 198 (84.9) | 85 (50.9) |
Indicators of knowledge about pre-marital by Gender, Oman, 2010
| | | |||
|---|---|---|---|---|
| Heard of PMCS | 357 (89.3) | 201 (56.3) | 156 (43.7) | 0.01 |
| Knew about regional PMCS clinic | 271 (67.8) | 148 (54.6) | 123 (45.4) | 0.51 |
| Source of knowledge | | | | 0.003 |
| Health workers | 72 (18.0) | 32 (44.4) | 40 (55.6) | |
| Periodical notes | 75 (18.8) | 38 (50.7) | 37 (49.3) | |
| Health educators | 17 (4.3) | 5 (29.4) | 12 (70.6) | |
| Media | 29 (7.3) | 17 (58.6) | 12 (41.4) | |
| School | 13 (3.3) | 10 (76.9) | 3 (23.1) | |
| Friends | 60 (15.0) | 43 (71.7) | 17 (28.3) | |
| New types of premarital tests | 118 (29.5) | 60 (50.8) | 58 (49.2) | 0.18 |
| Aware of psychological burden of hereditary diseases on families | 294 (83.8) | 164 (55.8) | 130 (44.2) | 0.09 |
| Heard of following diseases: | | | | |
| Thalassemia | 221 (55.3) | 94 (42.5) | 127 (57.5) | 0.001 |
| Sickle cell disease | 335 (83.8) | 186 (55.5) | 149 (44.5) | 0.01 |
| G6PD | 328 (82.0) | 173 (52.7) | 155 (47.3) | 0.001 |
| Knew about treatment for hereditary diseases | 90 (22.5) | 50 (55.6) | 40 (44.4) | 0.01 |
| Knew that PMCS may reduce spread of heredity diseases | 355 (88.8) | 206 (58.0) | 149 (42.0) | 0.66 |
Indicators of attitude and practice towards pre-marital counseling by Gender, Oman, 2010
| | | |||
|---|---|---|---|---|
| Preferred to marry a relative | 42 (10.5) | 34 (81.0) | 8 (19.0) | 0.02 |
| Married people who did PMCS before marriage | 34 (8.5) | 18 (52.9) | 16 (47.1) | 0.81 |
| Consanguinity among married couples | 59 (14.8) | 42 (71.2) | 17 (28.8) | 0.57 |
| If future spouse is a carrier of a hereditary disease, still go for marriage | 59 (14.8) | 42 (71.2) | 17 (28.8) | 0.02 |
| Willing to change decision about marriage based on PMCS results | 250 (62.5) | 135 (54.0) | 115 (46.0) | 0.03 |
| Will advise future spouse to do PMCS | 335 (83.8) | 186 (55.5) | 149 (44.5) | 0.08 |
| PMCS is important for self and spouse | 338 (84.5) | 194 (57.4) | 144 (42.6) | 0.31 |
| Agreed to make PMCS compulsory | 198 (49.5) | 118 (59.6) | 80 (40.4) | 0.32 |
| Unwilling to do PMCS test | 122 (30.5) | 78 (63.9) | 44 (36.1) | 0.14 |
Evaluation of predictors of non-willingness to perform pre-marital testing, Oman, 2010
| | | | | | |
| Male | 150 (37.5) | 78 (19.5) | 1.0 | - | |
| Female | 118 (29.5) | 54 (13.5) | 1.39 | (0.89, 2.17) | 0.14 |
| | | | | | |
| 20 – 25 | 115 (28.8) | 50 (12.5) | 1.0 | - | |
| 26 – 30 | 111 (27.8) | 41 (10.3) | 0.66 | (0.38, 1.14) | 0.14 |
| 31 – 35 | 50 (12.5) | 33 (8.3) | 0.56 | (0.32, 0.99) | .04 |
| | | | | | |
| Single | 149 (37.3) | 87 (21.8) | 1.0 | - | |
| Got married | 125 (31.3) | 39 (9.8) | 0.57 | (0.37, 0.86) | .008 |
| | | | | | |
| <500 | 172 (43.0) | 82 (20.5) | 1.0 | - | |
| 500-1000 | 90 (22.5) | 44 (11.0) | 1.95 | (0.41, 9.42) | 0.41 |
| >1000 | 10 (2.5) | 2 (0.5) | 1.48 | (0.27, 8.20) | 0.65 |
| | | | | | |
| School education | 167 (41.8) | 92 (23.0) | 1.0 | - | |
| Graduate & above | 108 (27.0) | 33 (8.3) | 0.31 | (0.02, 5.02) | 0.41 |
| | | | | | |
| Unemployed | 78 (19.5) | 33 (8.3) | 1.0 | - | |
| Employed | 192 (48.0) | 97 (24.3) | 1.02 | (0.91, 1.15) | 0.75 |