Table 4 Predictors of Academic Performance of adolescents in Secondary school at Wolaita Sodo town in South Ethiopia, June 2019
Variable (n = 670) | Binary linear regression | Multiple linear regression | ||
|---|---|---|---|---|
Β | 95% CI | Β | 95% CI | |
Age | ||||
15–19 | 2.5 | 0.4, 4.5 | 1.4 | −0.4, 3.3 |
Sex | ||||
Female | −2.0 | −3.6, − 0.3 | −2.6 | −4.3, − 0.9 |
Marital status of parents | ||||
Separated | −8.4 | − 10.4, −6.3 | − 4.7 | −6.7, − 2.7 |
Education status of the mother | ||||
Read and write | − 2.9 | −5.0, − 0.9 | − 1.7 | − 4.9, 1.5 |
Primary | 0.3 | −1.8, 2.4 | 0.3 | − 3.1, 3.7 |
Secondary | 2.5 | 0.6, 4.4 | −0.2 | −3.6, 3.2 |
College & above | 1.3 | −0.6, 3.2 | −3.5 | −7.3, 0.3 |
Education status of the father | ||||
No formal education | −1.4 | −6.1, 3.4 | 2.5 | −2.3, 7.3 |
Read and write | −3.6 | −6.1, −1.1 | 1.5 | −1.4, 4.3 |
Primary | −1.2 | −3.6, 1.1 | 0.8 | −1.7, 3.2 |
Secondary | 0.2 | −1.8, 2.2 | −0.1 | −2.1, 1.9 |
Occupational status of Mother | ||||
Housewife | −1.2 | −3.0, 0.6 | 0 .5 | −2.1, 3.1 |
Merchant | −0.4 | −2.1, 1.4 | −0.01 | −2.4, 2.4 |
Private employee | 0.9 | −1.9, 3.7 | 0.4 | −2.4, 3.2 |
Daily labourer | −5.1 | −12.7, 2.5 | 1.8 | −5.6, 9.3 |
Wealth index | ||||
First-class | −10.7 | − 12.7, −8.6 | −9.9 | − 12.8, −7.0 |
Second class | −4.1 | −6.2, −2.1 | − 5.7 | − 8.1, −3.2 |
Middle class | 2.2 | 0.1, 4.3 | −1.8 | −4.1, 0.5 |
Fourth class | 4.2 | 2.2, 6.2 | −0.6 | −2.9, 1.6 |
School type | ||||
Private | 5.83 | 4.1, 7.5 | 4.2 | 2.5, 5.9 |
The purpose of spending time on the internet | ||||
For social media | −2.71 | −4.8, −0.7 | −1.4 | −3.2, 0.4 |
Alcohol consumption | ||||
No | 1.79 | −0.1, 3.7 | −0.03 | −1.8, 1.7 |
DDS | ||||
Adequate | 3.56 | 1.9, 5.2 | 1.01 | −0.6, 2.6 |
Nutritional status | ||||
BAZ | 2.14 | 1.5, 2.8 | 1.89 | 1.1, 2.6 |
HAZ | 1.33 | 0.6, 2.1 | 1.48 | 0.7, 2.2 |