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Relationship of sociodemographic factors and low birth weight in toddlers

Nikmatur Rohmah

Nikmatur Rohmah

Pediatric Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Rohmah, Nikmatur
, 
Indah Wulandari

Indah Wulandari

Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Wulandari, Indah
, 
Agil Khoironi Firdaus

Agil Khoironi Firdaus

Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Firdaus, Agil Khoironi
, 
Nabilah Auliya

Nabilah Auliya

Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Auliya, Nabilah
, 
Novannisa Imanda

Novannisa Imanda

Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Imanda, Novannisa
 and 
Dwi Ningtyas Anggraini

Dwi Ningtyas Anggraini

Nursing Department, Faculty of Health Science, Muhammadiyah University of JemberJember Regency, Indonesia
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Anggraini, Dwi Ningtyas
  
Dec 16, 2024
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Article Category: Original article
Published Online: Dec 16, 2024
Page range: 479 - 485
Received: Feb 16, 2024
Accepted: Mar 25, 2024
DOI: https://doi.org/10.2478/fon-2024-0052
Keywords
© 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 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%)
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