Relationship of sociodemographic factors and low birth weight in toddlers
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16 dic 2024
INFORMAZIONI SU QUESTO ARTICOLO
Categoria dell'articolo: Original article
Pubblicato online: 16 dic 2024
Pagine: 479 - 485
Ricevuto: 16 feb 2024
Accettato: 25 mar 2024
DOI: https://doi.org/10.2478/fon-2024-0052
Parole chiave
© 2024 Nikmatur Rohmah et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Results of logistic regression analysis of the relationship between the sociodemographic factors and the LBW babies (n = 172)_
| Variables | LBW | |||
|---|---|---|---|---|
| OR | Lower bound (95% CI) | Upper bound (95% CI) | ||
| <20* | – | – | – | – |
| 20–35 | <0.001 | 0.027 | 0.010 | 0.072 |
| >35 | <0.001 | 0.017 | 0.002 | 0.138 |
| <20* | – | – | – | – |
| 20–35 | <0.001 | 0.031 | 0.012 | 0.082 |
| >35 | <0.001 | 0.019 | 0.002 | 0.152 |
| >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 |
| 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 |
| Man | 0.010 | 2.222 | 1.207 | 4.093 |
| Woman* | – | – | – | – |
| 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 | |||
|---|---|---|---|---|
| No (n = 91) | Yes (n = 81) | Total | ||
| <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%) | |
| <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%) | |
| 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%) | |
| 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%) | |
| <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%) | |
| <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%) | |
| 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%) | |
| 0.010 | ||||
| Male | 36 (39.6%) | 48 (59.3%) | 84 (48.8%) | |
| Female | 55 (60.4%) | 33 (40.7%) | 88 (51.2%) | |