Results of logistic regression analysis of the relationship between the sociodemographic factors and the LBW babies (n = 172)_
| Variables | P-value | LBW | ||
|---|---|---|---|---|
| OR | Lower bound (95% CI) | Upper bound (95% CI) | ||
| Father’s age (years old) | ||||
| <20* | – | – | – | – |
| 20–35 | <0.001 | 0.027 | 0.010 | 0.072 |
| >35 | <0.001 | 0.017 | 0.002 | 0.138 |
| Mother’s age (years old) | ||||
| <20* | – | – | – | – |
| 20–35 | <0.001 | 0.031 | 0.012 | 0.082 |
| >35 | <0.001 | 0.019 | 0.002 | 0.152 |
| Family income (IDR) | ||||
| >3,000,000* | ||||
| 1,000,000–3,000,000 | 0.001 | 3.742 | 1.745 | 8.028 |
| <1,000,000 | 0.001 | 5.981 | 2.122 | 16.861 |
| Father’s occupation | ||||
| Self-employed* | – | – | – | – |
| Farmer | 0.619 | 1.267 | 0.499 | 3.218 |
| Farm workers | <0.001 | 8.233 | 3.233 | 19.866 |
| Fisherman | <0.001 | 7.125 | 2.479 | 20.480 |
| Gender toddler | ||||
| Man | 0.010 | 2.222 | 1.207 | 4.093 |
| Woman* | – | – | – | – |
| Father’s education | ||||
| Primary Education | 0.012 | 2.520 | 1.227 | 5.177 |
| Junior High School | 0.013 | 2.763 | 1.242 | 6.147 |
| Senior High School* | – | – | – | – |
Respondent variable descriptive statistics (n = 172)_
| Variable | LBW | P-value | ||
|---|---|---|---|---|
| No (n = 91) | Yes (n = 81) | Total | ||
| Father’s age (years old) | <0.001 | |||
| <20 | 19 (20.9%) | 74 (91.4%) | 93 (54.1%) | |
| 20–35 | 57 (62.6%) | 6 (7.4%) | 63 (36.6%) | |
| >35 | 15 (16.5%) | 1 (1.2%) | 16 (9.3%) | |
| Mother’s age (years old) | <0.001 | |||
| <20 | 20 (22.0%) | 74 (91.4%) | 94 (54.7%) | |
| 20–35 | 56 (61.5%) | 6 (7.4%) | 62 (36.0%) | |
| >35 | 15 (16.5%) | 1 (1.2%) | 16 (9.3%) | |
| Father’s education | 0.013 | |||
| Primary Education | 30 (33.0%) | 36 (44.4%) | 66 (38.4%) | |
| Junior High School | 19 (20.9%) | 25 (30.9%) | 44 (25.6%) | |
| Senior High School | 42 (46.2%) | 20 (24.7%) | 62 (36.0%) | |
| Mother’s education | 0.549 | |||
| Primary Education | 33 (36.3%) | 36 (44.4%) | 69 (40.1%) | |
| Junior High School | 39 (42.9%) | 30 (37.0%) | 69 (40.1%) | |
| Senior High School | 19 (20.9%) | 15 (18.5%) | 34 (19.8%) | |
| Family income (IDR) | <0.001 | |||
| >3,000,000 | 38 (41.8%) | 12 (14.8%) | 50 (29.1%) | |
| 1,000,000–3,000,000 | 44 (48.4%) | 52 (64.2%) | 96 (55.8%) | |
| <1,000,000 | 9 (9.9%) | 17 (21.0%) | 26 (15.1%) | |
| Father’s occupation | <0.001 | |||
| Self-employed | 38 (41.8%) | 12 (14.8%) | 50 (29.1%) | |
| Farmer | 30 (33.0%) | 12 (14.8%) | 42 (24.4%) | |
| Farm workers | 15 (16.5%) | 39 (48.1%) | 54 (31.4%) | |
| Fisherman | 8 (8.8%) | 18 (22.2%) | 26 (15.1%) | |
| Mother’s job | 0.417 | |||
| Housewife | 60 (65.9%) | 59 (72.8%) | 119 (69.2%) | |
| Self-employed | 28 (30.8%) | 18 (22.2%) | 46 (26.7%) | |
| Civil servant | 3 (3.3%) | 4 (4.9%) | 7 (4.1%) | |
| Gender toddler | 0.010 | |||
| Male | 36 (39.6%) | 48 (59.3%) | 84 (48.8%) | |
| Female | 55 (60.4%) | 33 (40.7%) | 88 (51.2%) | |