| Literature DB >> 34850618 |
Le Thi Vui1, Duong Minh Duc2, Nguyen Thuy Quynh3, Nguyen Thi Huong Giang4, Vu Thi Thanh Mai5, Bui Thi Thu Ha6, Hoang Van Minh7.
Abstract
BACKGROUND: Early detection of autism spectrum disorders (ASDs) is essential given the under-reported cases in low- and middle-income countries. This first national representative survey was conducted to explore the prevalence of ASDs amongst 18 and 30 months in seven provinces in Vietnam. DESIGN AND METHODS: During 2017- 2018, a national cross-sectional and population-based survey for autism spectrum disorder (ASD) amongst 40,243 children aged 18 to 30 months was conducted in 7 provinces representing the socio-economic regions of Vietnam. M-CHAT was used to screen children and then confirmed by diagnostic assessment using DSM-IV criteria.Entities:
Year: 2021 PMID: 34850618 PMCID: PMC8973207 DOI: 10.4081/jphr.2021.2460
Source DB: PubMed Journal: J Public Health Res ISSN: 2279-9028
Figure 1.Screening and diagnostic process.
Socio-economic status, parental characteristics and their association with autism spectrum disorders (ASD) in children aged 18 to 30 months.
| Variables | N (%) | ASD prevalence | |||||
|---|---|---|---|---|---|---|---|
| Frequency | Percentage | Frequency | Percentage | OR | 95%CI | ||
| (n) | (%) | (n) | (%) | Lower | Upper | ||
| Total number of participants | 40.243 | 100% | 305 | 0.758 | |||
| Province | |||||||
| Ha Noi | 5.501 | 13.7 | 46 | 0.84 | 1.18 | 0.77 | 1.79 |
| Thai Binh | 5.883 | 14.6 | 41 | 0.70 | 0.98 | 0.64 | 1.51 |
| Hoa Binh | 5.893 | 14.6 | 43 | 0.73 | 1.03 | 0.67 | 1.57 |
| Quang Nam | 5.539 | 13.8 | 45 | 0.81 | 1.14 | 0.75 | 1.74 |
| Dong Thap | 5.600 | 13.9 | 38 | 0.68 | 0.95 | 0.61 | 1.48 |
| Dong Nai | 5.922 | 14.7 | 50 | 0.84 | 1.19 | 0.79 | 1.79 |
| Dak Lak | 5.905 | 14.7 | 42 | 0.71 | 1 | - | - |
| Age group | |||||||
| 18-23 months | 17.193 | 42.7 | 119 | 0.69 | 0.86 | 0.68 | 1.08 |
| 24-30 months | 23.050 | 57.3 | 186 | 0.81 | 1 | - | - |
| Sex | |||||||
| Boy | 21.345 | 53.0 | 245 | 1.15 | 3.65 | 2.75 | 4.84 |
| Girl | 18.898 | 47.0 | 60 | 0.32 | 1 | - | - |
| Setting | |||||||
| Urban | 9.976 | 24.8 | 142 | 1.42 | 2.67 | 2.13 | 3.34 |
| Rural | 30.267 | 75.2 | 163 | 0.54 | 1 | - | - |
| Mother’s characteristics | |||||||
| Maternal age at the time of childbirth (years) | |||||||
| <20 | 2.694 | 6.7 | 17 | 0.63 | 0.90 | 0.54 | 1.48 |
| 20-29 | 25.34 | 63.0 | 178 | 0.70 | 1 | - | - |
| 30-34 | 8.386 | 20.8 | 60 | 0.72 | 1.02 | 0.758 | 1.37 |
| ≥35 | 3.684 | 9.2 | 50 | 1.36 | 1.94 | 1.42 | 2.67 |
| Mother’s occupation | |||||||
| Farmer | 8.608 | 21.4 | 64 | 0.74 | 1 | - | - |
| Government staff | 5.312 | 13.2 | 36 | 0.68 | 0.91 | 0.60 | 1.37 |
| Private sector staff | 10.218 | 25.4 | 74 | 0.72 | 0.97 | 0.70 | 1.36 |
| Unstable job | 11.295 | 28.0 | 84 | 0.74 | 1 | 0.72 | 1.39 |
| Others | 4.779 | 11.9 | 47 | 0.98 | 1.33 | 0.91 | 1.94 |
| Father’s characteristics | |||||||
| Paternal age at the time of childbirth | |||||||
| <20 | 664 | 1.6 | 4 | 0.60 | 0.84 | 0.31 | 2.26 |
| 20-34 | 30.942 | 76.9 | 222 | 0.72 | 1 | - | - |
| 35-45 | 7.45 | 18.5 | 69 | 0.93 | 1.29 | 0.99 | 1.70 |
| ≥46 | 535 | 1.4 | 10 | 1.87 | 2.64[ | 1.39 | 5.00 |
| Father’s occupation | |||||||
| Farmer | 9.403 | 23.4 | 72 | 0.77 | 1 | - | - |
| Government staff | 4.809 | 11.9 | 25 | 0.52 | 0.68 | 0.43 | 1.07 |
| Private sector staff | 8.611 | 21.4 | 62 | 0.72 | 0.94 | 0.67 | 1.32 |
| Unstable job | 16.137 | 40.1 | 142 | 0.88 | 1.15 | 0.87 | 1.53 |
| Others | 629 | 1.6 | 4 | 0.64 | 0.83 | 0.30 | 2.28 |
| Having a relative with mental health disorder or genital anomaly? | |||||||
| Yes | 1.441 | 3.6 | 53 | 2.20 | 3.37 | 2.50 | 4.50 |
| No | 38.594 | 95.9 | 252 | 0.70 | 1 | - | - |
*Result from univariate logistic regression
bstatistically significant at p<0.01
cstatistically significant at p<0.001.
Multivariable logistic regression analyses of socio-demographic variables for association with autism spectrum disorders (ASD) in children aged 18 to 30 months.
| Variables | β (SE) | Unadjusted OR | Adjusted OR |
|---|---|---|---|
| (95% CI) | (95% CI) | ||
| Setting (Urban) | 1.08 (0.11) | 2.7 (2.1-3.3) | 2.8 (2.2-3.5) |
| Sex (Male) | 0.84 (0.14) | 3.6 (2.7-4.8) | 2.6 (2.0-3.4) |
| Maternal age at the time of childbirth (≥35 years old) | 0.33 (0.18) | 1.9 (1.4-2.7) | 1.7 (1.2-2.4) |
| Paternal age at the time of childbirth (≥46 years old) | 0.4 (0.37) | 2.6 (1.3-4.9) | 1.5 (0.8-3.0) |
| Having a relative with mental health disorder or genital anomaly (Yes) | 0.58 (0.18) | 3.4 (2.5-4.5) | 3.6 (2.6-4.8) |
Result from multivariable logistic regression after adjusting for other variables in the model
astatistically significant at p<0.05
bstatistically significant at p<0.01
cstatistically significant at p<0.001.