, Anissa Rizkianti
, Prisca Petty Arfines
, Suparmi
, Iram Barida Maisya
Centre for Research and Development of Public Health Efforts, National Institute of Health Research and Development (NIHRD), Jakarta, Indonesia
Copyright © 2021 The Korean Society for Preventive Medicine
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
| Characteristics | Child development |
p-value | |
|---|---|---|---|
| On-track | Off-track | ||
| Residence type | |||
| Rural | 3114 (88.4) | 407 (11.6) | 0.129 |
| Urban | 2619 (89.6) | 303 (10.4) | |
| Mother’s age (y) | 0.966 | ||
| ≤25 | 868 (88.7) | 111 (11.3) | |
| 26-35 | 3046 (89.1) | 372 (10.9) | |
| 36-45 | 1714 (88.8) | 215 (11.1) | |
| >45 | 105 (89.7) | 12 (10.3) | |
| Maternal education level | 0.039 | ||
| Low | 1661 (87.5) | 237 (12.5) | |
| Middle | 1459 (89.1) | 178 (10.9) | |
| High | 2613 (89.9) | 295 (10.1) | |
| Paternal education level | <0.001 | ||
| Low | 1764 (86.9) | 266 (13.1) | |
| Middle | 1259 (88.9) | 158 (11.1) | |
| High | 2710 (90.5) | 286 (9.5) | |
| Mother’s work status | <0.001 | ||
| Unemployed | 2996 (88.8) | 411 (11.2) | |
| Civil/private employer | 659 (94.8) | 42 (5.2) | |
| Entrepreneur | 681 (89.8) | 63 (10.2) | |
| Laborer | 912 (89.7) | 123 (10.3) | |
| Other | 485 (88.9) | 71 (11.1) | <0.001 |
| Father’s work status | |||
| Unemployed | 85 (91.3) | 10 (8.7) | |
| Civil/private employer | 1292 (92.9) | 121 (7.1) | |
| Entrepreneur | 1438 (90.3) | 144 (9.7) | |
| Laborer | 2646 (87.5) | 395 (12.5) | |
| Other | 272 (89.2) | 40 (10.8) | |
| Economic status | <0.001 | ||
| Lower | 1386 (86.1) | 224 (13.9) | |
| Lower-middle | 1329 (89.4) | 157 (10.6) | |
| Middle | 1188 (89.1) | 146 (10.9) | |
| Upper-middle | 1029 (89.8) | 117 (10.2) | |
| Upper | 801 (92.4) | 66 (7.6) | |
| Mother’s morbidity | 0.006 | ||
| No | 5650 (89.1) | 690 (10.9) | |
| Yes | 83 (80.6) | 20 (19.4) | |
| Father’s morbidity | 0.730 | ||
| No | 5634 (89.0) | 699 (11.0) | |
| Yes | 99 (90.0) | 11 (10.0) | |
| Birth order | |||
| 1 | 1785 (90.2) | 194 (9.8) | 0.022 |
| 2 | 2267 (89.2) | 275 (10.8) | |
| ≥3 | 1681 (87.5) | 241 (12.5) | |
| Child’s age (y) | <0.001 | ||
| 3 | 3064 (87.1) | 453 (12.9) | |
| 4 | 2669 (91.2) | 257 (8.8) | |
| Child’s sex | <0.001 | ||
| Male | 2812 (87.4) | 405 (12.6) | |
| Female | 2921 (90.5) | 305 (9.5) | |
| Birth weight (g) | 0.863 | ||
| ≥2500 | 5419 (89.0) | 670 (11.0) | |
| <2500 | 314 (88.7) | 40 (11.3) | |
| Child’s nutritional status | 0.013 | ||
| Stunted | 4063 (89.6) | 471 (10.4) | |
| Normal | 1670 (87.5) | 239 (12.5) | |
| Variables | Likelihood of delayed development |
||||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| OR (95% CI) | aOR (95% CI) | aOR (95% CI) | |||
| Exposure variable | |||||
| Depression | |||||
| Non-depressed | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) | ||
| Maternal depression only | 1.62 (1.03, 2.53) |
1.54 (0.97, 2.43) | 1.44 (0.90, 2.30) | ||
| Paternal depression only | 1.44 (0.80, 2.61) | 1.46 (0.82, 2.61) | 1.32 (0.75, 2.33) | ||
| Depression of both parents | 5.38 (2.12, 13.68) |
5.36 (2.21, 12.99) |
4.72 (1.83, 12.15) |
||
| Biological factors | |||||
| Child’s age (y) | |||||
| 3 | - | 1.00 (reference) | 1.00 (reference) | ||
| 4 | - | 0.61 (0.48, 0.77) |
0.60 (0.47, 0.76) |
||
| Child’s sex | |||||
| Male | - | 1.68 (1.33, 2.11) |
1.68 (1.34, 2.12) |
||
| Female | - | 1.00 (reference) | 1.00 (reference) | ||
| Birth weight (g) | |||||
| ≥2500 | - | 1.00 (reference) | 1.00 (reference) | ||
| <2500 | - | 1.13 (0.73, 1.77) | 1.06 (0.67, 1.68) | ||
| Child’s nutritional status | |||||
| Stunted | - | 1.15 (0.91, 1.45) | 1.03 (0.81, 1.31) | ||
| Normal | - | 1.00 (reference) | 1.00 (reference) | ||
| Birth order | |||||
| 1 | - | 1.00 (reference) | 1.00 (reference) | ||
| 2 | - | 1.02 (0.78, 1.35) | 1.10 (0.75, 1.60) | ||
| ≥3 | - | 1.20 (0.91, 1.60) | 1.25 (0.83, 1.87) | ||
| Parental and social factors | |||||
| Type of residence | |||||
| Rural | - | - | 0.92 (0.72, 1.18) | ||
| Urban | - | - | 1.00 (reference) | ||
| Mother’s age (y) | |||||
| ≤25 | - | - | 1.00 (reference) | ||
| 26-35 | - | - | 0.83 (0.53, 1.29) | ||
| 36-45 | - | - | 0.88 (0.52, 1.49) | ||
| >45 | - | - | 0.77 (0.31, 1.92) | ||
| Maternal education level | |||||
| Low | - | - | 0.59 (0.41, 0.85) |
||
| Middle | - | - | 0.74 (0.53, 1.03) | ||
| High | - | - | 1.00 (reference) | ||
| Paternal education level | |||||
| Low | - | - | 1.57 (1.08, 2.29) |
||
| Middle | - | - | 1.24 (0.89, 1.73) | ||
| High | - | - | 1.00 (reference) | ||
| Mother’s work status | |||||
| Unemployed | - | - | 1.00 (reference) | ||
| Civil/private employer | - | - | 0.56 (0.34, 0.92) |
||
| Entrepreneur | - | - | 0.93 (0.63, 1.36) | ||
| Laborer | - | - | 0.78 (0.56, 1.09) | ||
| Other | - | - | 0.99 (0.67, 1.46) | ||
| Father’s work status | |||||
| Unemployed | - | - | 1.00 (reference) | ||
| Civil/private employer | - | - | 0.90 (0.35, 2.35) | ||
| Entrepreneur | - | - | 1.13 (0.44, 2.93) | ||
| Laborer | - | - | 1.43 (0.56, 3.70) | ||
| Other | - | - | 1.18 (0.41, 3.38) | ||
| Economic status | |||||
| Lower | - | - | 1.57 (0.99, 2.47) | ||
| Lower-middle | - | - | 1.23 (0.77, 1.97) | ||
| Middle | - | - | 1.24 (0.79, 1.95) | ||
| Upper-middle | - | - | 1.30 (0.82, 2.07) | ||
| Upper | - | - | 1.00 (reference) | ||
| Mother’s morbidity | |||||
| No | - | - | 1.00 (reference) | ||
| Yes | - | - | 2.08 (0.94, 4.60) | ||
| Father’s morbidity | |||||
| No | - | - | 1.00 (reference) | ||
| Yes | - | - | 1.81 (0.91, 3.61) | ||
Values are presented as number (%).
OR, odds ratio; CI, confidence interval; aOR, adjusted odds ratio. Model 1: unadjusted; Model 2: adjusted for biological factors; Model 3: adjusted for biological, parental, and social factors.