Path Analysis of Factors Related to The Events of Low Born Weight Babies in Bangil Hospital

Abstract

Low birth weight (LBW) is one of the main factors
influencing perinatal and neonatal mortality. According
to UNICEF (United Nations International Children’s
Emergency Fund) in the asian parent (2015) the number
of LBW in Indonesia in 2011 was high, namely around
11.1%. The aim of the study was to analyze the risk
factors for low birth weight at Bangil Hospital, Pasuruan
Regency, East Java. Method: This type of research is ex
post facto because this research does not make treatment
or conditioning of variables with a case control approach.
This research was conducted at the Bangil Regional
Hospital, Pasuruan Regency and the time of data
collection was in June 2016. The sample was selected by
fixed disease sampling, using a ratio of 1: 3 between the
case group and the control group with 120 subjects. The
data collection technique used a questionnaire. Data were
analyzed using STATA13 Path Analysis (Path analysis)
and it is said to be significant if the p value is <0.05.
Results: There was a relationship between maternal
hemoglobin levels (b = -2.69; 95% CI -4.59 to -0.79; p =
0.006), maternal LILA ≥23.5 cm (b = -2.10; CI95% -3.82
to -0.38; p = 0.017) , and ANC ≥4 times (b = -2.70; 95%
CI -4.01 to -1.40; p = <0.001) with a logit reduction in the
risk of delivering LBW babies. There was a relationship
between maternal stress and the increased risk of giving
birth to low birth weight babies (b = 1.96; 95% CI 0.36 to
3.57; p = 0.016). There is a relationship between family
income (b = 1.45; 95% CI 0.09 to 2.81; p = 0.036) and
maternal education (b = 2.19; 95% CI 0.88 to 3.49; p =
0.001) with an increased logit risk of having a hemoglobin
level ≥11 grams%. There was a relationship between
family income (b = 1.60; 95% CI 0.19 to 3.02; p = 0.026),
education (b = 1.78; 95% CI 0.40 to 3.17; p = 0.012)
with an increase in logit risk of having LILA nutritional
3rd Arif Efendi
Prodi Rekam Medis ITSK
RS dr. Soepraoen Malang
status ≥23.5cm. There was an association between passive
smoking and a decrease in risk of nutritional status LILA
≥23.5cm (b = -1.94; 95% CI -3.61 to -0.26; p = 0.023).
There is a relationship between family income (b = 2.00;
95% CI 0.76 to 3.25; p = 0.002) and education (b = 1.66;
95% CI 0.55 to 2.77; p = 0.003) with an increase in logit
risk of doing ANC ≥4 times. There was a relationship
between maternal education and the increased risk of
having a family income ≥UMK (b = 1.81; 95% CI 0.73
to 2.88; p = 0.001). There was a correlation between
maternal education and a decrease in the risk of exposure
to cigarette smoke (b = 1.06; 95% CI -2.02 to -0.10; p =
0.031). Conclusion: There is a direct relationship between
ANC, stress, Hb, nutritional status with the incidence of
LBW. There is an indirect relationship between education,
family income, smoking and the incidence of LBW.