| Literature DB >> 34937104 |
Aisha Saleh Al-Jaber1, Hadeel Mohammad Al-Qatami1, Feras Hasan Abed Al Jawad2.
Abstract
OBJECTIVES: The aims of the present study were to evaluate the level of knowledge, attitudes, and practices (KAP) toward early childhood caries (ECC) in a group of Qatari parents and to assess the association of sociodemographic factors on their KAP.Entities:
Year: 2021 PMID: 34937104 PMCID: PMC9507593 DOI: 10.1055/s-0041-1739446
Source DB: PubMed Journal: Eur J Dent
Sociodemographic characteristics of the participants
| Number | % | |
|---|---|---|
| Gender | ||
| Female | 203 | 73.3 |
| Male | 74 | 26.7 |
| Marital status | ||
| Married | 260 | 93.9 |
| Divorced | 8 | 2.9 |
| Missing | 9 | 3.2 |
| Educational level | ||
| Preparatory and less | 28 | 10.1 |
| High school | 91 | 32.9 |
| University | 133 | 48.0 |
| Higher education | 20 | 7.2 |
| Missing | 5 | 1.8 |
| Average salary | ||
| < 5000 QR | 6 | 2.2 |
| 5000–9999 QR | 31 | 11.2 |
| 10000–19999 QR | 60 | 21.7 |
| 20000–29999 QR | 43 | 15.5 |
| 30000–39999 QR | 38 | 13.7 |
| ≥ 40000 QR | 42 | 15.2 |
| Missing | 57 | 20.6 |
| Number of children | ||
| 1 | 12 | 4.3 |
| 2 | 39 | 14.1 |
| 3 | 67 | 24.2 |
| 4 | 43 | 15.5 |
| 5 | 38 | 13.7 |
| 6 | 25 | 9 |
| 7 | 10 | 3.6 |
| 8 | 7 | 2.5 |
| 9 | 4 | 1.4 |
| 10 | 2 | 0.7 |
| Missing | 30 | 10.8 |
| Number of children 6 years of age and below | ||
| 1 | 78 | 28.2 |
| 2 | 96 | 34.7 |
| 3 | 48 | 17.3 |
| 4 | 6 | 2.2 |
| 6 | 2 | 0.7 |
| Missing | 47 | 17 |
Frequencies of knowledge items
| No. | Questions |
Correct
| Incorrect |
|---|---|---|---|
| 1 and 2 | Quantity of toothpaste in children < 3 years | 181 (65.3%) | 96 (34.7%) |
| 3 and 4 | Quantity of toothpaste in children > 3 years | 237 (85.6%) | 40 (14.4%) |
| 5 | Mothers' diet during pregnancy affects development of baby's teeth | 173 (62.5%) | 104 (37.5%) |
| 6 | Canned juice can be given frequently to your child | 16 (5.8%) | 261 (94.2%) |
| 7 | Dental checkup at first year of your child life is important even if child does not have tooth decay or tooth pain | 212 (76.5%) | 64 (23.1%) |
| 8 | Feeding your child with baby bottle at nighttime has an influence on child teeth | 211 (76.2%) | 65(23.5%) |
| 9 | Fluoridated toothpaste helps in preventing your child tooth decay | 185(66.8%) | 91 (32.9%) |
| 10 | Controlling sugary intake frequency during the day can affect tooth decay | 258 (93.1%) | 18 (6.5%) |
| 11 | Appearance of white lines or white spots on the surfaces of the teeth are the first signs of tooth decay | 134 (48.4%) | 143 (51.6%) |
| 12 | Germs that cause tooth decay can be transmitted from mother to her child by kissing on his lips/chewing food by mother before giving it to her child | 102 (36.8%) | 175 (63.2%) |
| 13 | Decay in baby teeth can harm the future of new adult teeth | 127 (45.8%) | 148 (53.4%) |
| 14 | the care of the oral health and oral hygiene is important for the health of the permanent teeth | 247 (89.2%) | 30 (10.8%) |
| 15 | Tooth decay in children is inherited | 48 (17.3%) | 229 (82.7%) |
| Overall mean of knowledge | 60.8% |
Note: Option: “yes” considered as correct item, while “no” or “don't know” considered as incorrect item.
Frequencies of attitude items
| No. | Questions |
Correct
|
Incorrect
|
|---|---|---|---|
| 1 | Maintaining the child oral health is the parent's responsibility | 267 (96.4%) | 10 (3.6%) |
| 2 | Prolonged and frequent breast-feeding harm your child's teeth | 69 (24.9%) | 208 (75.1%) |
| 3 | Providing fresh juices frequently during the day can harm your child's teeth | 110 (39.7%) | 167 (60.3%) |
| 4 | Baby teeth should be cleaned as soon as it erupts | 213 (76.9%) | 64 (23.1%) |
| 5 | Taking the child for dental check-up as soon as his/her teeth erupt | 171 (61.7%) | 106 (38.3%) |
| 6 | Brushing the children's teeth at the age of 6 years and below should be done under the help of parents/caregiver | 261 (94.2%) | 16 (5.8%) |
| Overall mean of attitude | 65.6% |
Frequencies of practice items
| No. | Questions |
Correct
|
Incorrect
|
|---|---|---|---|
| 1 | Balanced diet is necessary for your child oral health | 268 (96.8%) | 9 (3.2%) |
| 2 | Providing breast feeding /bottle feeding during bed-time could harm your child teeth | 166 (59.9%) | 111 (40.1%) |
| 3 | Tooth decay can be transmitted by sharing utensils (i.e., spoons, forks) | 61 (22%) | 216 (78%) |
| 4 | Parents should make an effort to improve their knowledge in oral health | 267 (96.4%) | 10 (3.6%) |
| 5 | Cleaning your child's teeth after each meal is necessary | 245 (88.4%) | 32 (11.6%) |
| Overall mean of practice | 72.7% |
Note: Options of attitude and practice”: strongly agree” or “agree” considered correct, while “strongly disagree,” “disagree” and “don't know” considered incorrect.
The association between knowledge and SEF in early childhood caries
| Variables | Knowledge | |||||
|---|---|---|---|---|---|---|
|
Good
|
Fair
|
Poor
|
Total
| |||
| Gender | Female | 56 (33.9%) | 76(46.1%) | 33(20.0%) | 165 | 0.000 |
| Male | 5 (8.2%) | 32(52.5%) | 24(39.3%) | 61 | ||
| Missing | 51 (18.4%) | |||||
| Marital status | Married | 59 (27.4%) | 104(48.4%) | 52(24.2%) | 215 | 0.797 |
| Divorced | 1 (16.7%) | 3(50%) | 2(33.3%) | 6 | ||
| Missing | 56 (20.2%) | |||||
| Nationality | Qatari | 48 (27.1%) | 87(49.2%) | 42(23.7%) | 177 | 0.577 |
| Non-Qatari | 10 (26.3%) | 16(42.1%) | 12(31.6%) | 38 | ||
| Missing | 62 (22.4%) | |||||
| Age | 19–29 years | 12 (30%) | 19(47.5%) | 9(22.5%) | 40 | 0.811 |
| 30–39 years | 29 (24.4%) | 60(50.4%) | 30(25.2%) | 119 | ||
| ≥ 40 years | 18 (29%) | 26(41.9%) | 18(29%) | 62 | ||
| Missing | 56 (20.2%) | |||||
| Number of children | 1 | 4 (40.0%) | 6 (60.0%) | 0 (0.0%) | 10 | 0.240 |
| 2 | 5(16.7%) | 12 (40.0%) | 13 (43.3%) | 30 | ||
| 3 | 14 (25.0%) | 27 (48.2%) | 15 (26.8%) | 56 | ||
| 4 | 9 (27.3%) | 18 (54.5%) | 6 (18.2%) | 33 | ||
| 5 | 8 (22.9%) | 19 (54.3%) | 8(22.9%) | 35 | ||
| 6 | 5 (23.8%) | 10 (47.6%) | 6 (28.6%) | 21 | ||
| 7 | 2(22.2%) | 6 (66.7%) | 1(11.1%) | 9 | ||
| 8 | 3 (42.9%) | 2 (28.6%) | 2(28.6%) | 7 | ||
| 9 | 0 (0.0%) | 0 (0.0%) | 1 (100.0%) | 1 | ||
| 10 | 2 (100.0%) | 0 (0.0%) | 0 (0.0%) | 2 | ||
| Missing | 73 (26.4%) | |||||
| Children ≤ 6yrs | 1 | 19(29.2%) | 34(52.3%) | 12 (18.5%) | 65 | 0.414 |
| 2 | 15(18.8%) | 36 (45.0%) | 29 (36.3%) | 80 | ||
| 3 | 11 (30.6%) | 16 (44.4%) | 9 (25.0%) | 36 | ||
| 4 | 2 (33.3%) | 3 (50.0%) | 1 (16.7%) | 6 | ||
| 6 | 0 (0.0%) | 1 (50.0%) | 1 (50.0%) | 2 | ||
| Missing | 88 (31.8%) | |||||
| Educational level | Preparatory and less | 5 (22.7%) | 9 (40.9%) | 8(36.4%) | 22 | 0.274 |
| High school | 16 (22.2%) | 37 (51.4%) | 19(26.4%) | 72 | ||
| University | 33 (28.7%) | 58 (50.4%) | 24 (20.9%) | 115 | ||
| Higher education | 5 (35.7%) | 3 (21.4%) | 6 (42.9%) | 14 | ||
| Missing | 54 (19.5%) | |||||
| Income | < 5000 QR | 3 (50.0%) | 1 (16.7%) | 2 (33.3%) | 6 | 0.136 |
| 5000–9999 QR | 3 (13.6%) | 13 (59.1%) | 6(27.3%) | 22 | ||
| 10000–19999 QR | 20 (40.8%) | 19 (38.8%) | 10 (20.4%) | 49 | ||
| 20000–29999 QR | 6 (18.2%) | 21(63.6%) | 6 (18.2%) | 33 | ||
| 30000- 39999 QR | 9 (26.5%) | 14 (41.2%) | 11 (32.4%) | 34 | ||
| ≥ 40000 | 8 (22.2%) | 16 (44.4%) | 12 (33.3%) | 36 | ||
| Missing | 97 (35%) | |||||
Abbreviation: SEF, socioeconomic factor.
The association between attitude and SEF in early childhood caries
| Variables | Attitude | |||||
|---|---|---|---|---|---|---|
|
Good
|
Fair
|
Poor
|
Total
| |||
| Gender | Female | 63(31.3%) | 116 | 22 | 201 | 0.483 |
| Male | 23 (31.1%) | (57.7%) | (10.9%) | 74 | ||
| Missing | 2 (0.7%) | 39 (52.7%) | 12 (16.2%) | |||
| Marital status | Married | 78 (30%) | 150 | 32 | 260 | 0.894 |
| Divorced | 3 (37.5%) | (57.7%) | (12.3%) | 8 | ||
| Missing | 9 (3.2%) | 4 (50.0%) | 1 (12.5%) | |||
| Nationality | Qatari | 59 (27.7%) | 122 (57.3%) | 32 (15.0%) | 213 | 0.030 |
| Non-Qatari | 19 (38.8%) | 29 (59.2%) | 1 (2.0%) | 49 | ||
| Missing | 15 (5.4%) | |||||
| Age | 19–29 years | 10 (18.9%) | 38 (71.7%) | 5 (9.4%) | 53 | 0.139 |
| 30–39 years | 50 (34.5%) | 75 (51.7%) | 20 (13.8%) | 145 | ||
| ≥ 40 years | 25 (35.2%) | 38 (53.5%) | 8 (11.3%) | 71 | ||
| Missing | 8 (2.9%) | |||||
| Number of children | 1 | 3 (8.3%) | 8 (66.7%) | 1 (8.3%) | 12 | 0.983 |
| 2 | 10(25.6%) | 23(59.0%) | 6 (15.4%) | 39 | ||
| 3 | 21 (31.3%) | 40 (59.7%) | 6 (9.0%) | 67 | ||
| 4 | 12(27.9%) | 27(62.8%) | 4 (9.3%) | 43 | ||
| 5 | 12 (31.6%) | 21 (55.3%) | 5 (13.2%) | 38 | ||
| 6 | 9 (36.0%) | 12 (48.0%) | 4 (16.0%) | 25 | ||
| 7 | 4 (40.0%) | 5 (50.0%) | 1 (10.0%) | 10 | ||
| 8 | 2 (28.6%) | 3 (42.9%) | 2 (28.6) | 7 | ||
| 9 | 1 (25.0%) | 2 (50.0%) | 1 (25.0%) | 4 | ||
| 10 | 0 (0.0%) | 2 (100.0%) | 0 (0.0%) | 2 | ||
| Missing | 47 (17.0%) | |||||
| Children ≤ 6yrs | 1 | 29 (37.2%) | 39 (50.0%) | 10 (12.8%) | 78 | 0.340 |
| 2 | 23 (24.0%) | 59 (61.5%) | 14 (14.6%) | 96 | ||
| 3 | 19 (39.6%) | 25 (52.1%) | 4 (8.3%) | 48 | ||
| 4 | 1 (16.7%) | 4 (66.7%) | 1 (16.7%) | 6 | ||
| 6 | 0 (0.0%) | 1 (50.0%) | 1 (50.0%) | 2 | ||
| Missing | 30 (10.8%) | |||||
| Educational level | Preparatory and less | 5 (17.9%) | 15 (53.6%) | 8 (28.6%) | 28 | 0.05 |
| High school | 25 (27.5%) | 56 (61.5%) | 10 (11.0%) | 91 | ||
| University | 50 (37.6%) | 69 (51.9%) | 14 (10.5%) | 133 | ||
| Higher education | 6 (30.0%) | 12 (60.0%) | 2 (10.0%) | 20 | ||
| Missing | 5 (1.8%) | |||||
| Income | < 5000 QR | 2 (33.3%) | 3 (50.0%) | 1 (16.7%) | 6 | 0.080 |
| 5000–9999 QR | 14 (45.2%) | 12 (38.7%) | 5 (16.1%) | 31 | ||
| 10000–19999 QR | 18 (30.0%) | 37 (61.7%) | 5 (8.3%) | 60 | ||
| 20000–29999 QR | 5 (11.6%) | 31 (72.1%) | 7 (16.3%) | 43 | ||
| 30000- 39999 QR | 10 (26.3%) | 25 (65.8%) | 3 (7.9%) | 38 | ||
| ≥ 40000 | 17 (40.5%) | 19 (45.2%) | 6 (14.3%) | 42 | ||
| Missing | 57 (20.6%) | |||||
Abbreviation: SEF, socioeconomic factor.
The association between practice and SEF in early childhood caries
| Variables | Practice | |||||
|---|---|---|---|---|---|---|
|
Good
|
Fair
|
Poor
|
Total
| |||
| Gender | Female | 121 (60.2%) | 68 (33.8%) | 12(6.0%) | 201 | 0.956 |
| Male | 45 (60.8%) | 24 (32.4%) | 5 (6.8%) | 74 | ||
| Missing | 2 (0.7%) | |||||
| Marital status | Married | 156 (60.0%) | 87 (33.5%) | 17 (6.5%) | 260 | 0.752 |
| Divorced | 5 (62.5%) | 3 (37.5%) | 0 (0.0%) | 8 | ||
| Missing | 9 (3.2%) | |||||
| Nationality | Qatari | 128 (60.1%) | 70 (32.9%) | 15 (7.0%) | 213 | 0.605 |
| Non-Qatari | 28 (57.1%) | 19 (38.8%) | 2 (4.1%) | 49 | ||
| Missing | 15 (5.4%) | |||||
| Age | 19–29 years | 32 (60.4%) | 16 (30.2%) | 5 (9.4%) | 53 | 0.786 |
| 30–39 years | 89 (61.4%) | 49 (33.8%) | 7 (4.8%) | 145 | ||
| ≥ 40 years | 41 (57.7%) | 25 (35.2%) | 5 (7.0%) | 71 | ||
| Missing | 8 (2.9%) | |||||
| Number of children | 1 | 7 (58.3%) | 5 (41.7%) | 0 (0.0%) | 12 | 0.732 |
| 2 | 26 (66.7%) | 12 (30.8%) | 1 (2.6%) | 39 | ||
| 3 | 45 (67.2%) | 19 (28.4%) | 3 (4.5%) | 67 | ||
| 4 | 24 (55.8%) | 15 (34.9%) | 4 (9.3%) | 43 | ||
| 5 | 24 (63.2%) | 12 (31.6%) | 2 (5.3%) | 38 | ||
| 6 | 12 (48.0%) | 10 (40.0%) | 3 (12.0%) | 25 | ||
| 7 | 5 (50.0%) | 3 (30.0%) | 2 (20.0%) | 10 | ||
| 8 | 6 (85.7%) | 1 (14.3%) | 0 (0.0%) | 7 | ||
| 9 | 2 (50.0%) | 2 (50.0%) | 0 (0.0%) | 4 | ||
| 10 | 2 (100%) | 0 (0.0%) | 0 (0.0%) | 2 | ||
| Missing | 30 (10.8%) | |||||
| Children ≤ 6 years | 1 | 54 (69.2%) | 19 (24.4%) | 5 (6.4%) | 78 | 0.375 |
| 2 | 56 (58.3%) | 35 (36.5%) | 5 (5.2%) | 96 | ||
| 3 | 33 (68.8%) | 12 (25.0%) | 3 (6.3%) | 48 | ||
| 4 | 4 (66.7%) | 2 (33.3%) | 0 (0.0%) | 6 | ||
| 6 | 0 (0.0%) | 2 (100.0%) | 0 (0.0%) | 2 | ||
| Missing | 47 (17.0%) | |||||
| Educational level | Preparatory and less | 13 (46.4%) | 11 | 4 | 28 | 0.343 |
| High school | 55 (60.4%) | (39.3%) | (14.3%) | 91 | ||
| University | 82 (61.7%) | 29 (31.9%) | 7(7.7%) | 133 | ||
| Higher education | 14 (70.0%) | 45 (33.8%) | 6 (4.5%) | 20 | ||
| Missing | 5 (1.8%) | 6 (30.0%) | 0 (0.0%) | |||
| Income | < 5000 QR | 4 (66.7%) | 1 (16.7%) | 1 (16.7%) | 6 | 0.399 |
| 5000–9999 QR | 17 (54.8%) | 9 (29.0%) | 5 (16.1%) | 31 | ||
| 10000–19999 QR | 33 (55.0%) | 24 (40.0%) | 3 (5.0%) | 60 | ||
| 20000–29999 QR | 28 (65.1%) | 12 (27.9%) | 3 (7.0%) | 43 | ||
| 30000- 39999 QR | 22 (57.9%) | 15 (39.5%) | 1 (2.6%) | 38 | ||
| ≥ 40000 | 29 (69.0%) | 11 (26.2%) | 2 (4.8%) | 42 | ||
| Missing | 57 (20.6%) | |||||
Abbreviations: n , number; SEF, socioeconomic factor.