FAKTOR RISIKO YANG MEMPENGARUHI KEJADIAN BAYI DENGAN BERAT LAHIR RENDAH (BBLR) DI RSUD DR. M. SOEWANDHIE SURABAYA
Background: Infants with Low Birth Weight (LBW) was one of the main indicators of the cause of high infant mortality rates (IMR). The causes of IMR and Maternal Mortality Rate (MMR) were determined by factors in maternal condition before and during pregnancy. In 2015 LBW in Surabaya reached 2.58%...
Saved in:
| Main Author: | |
|---|---|
| Format: | Theses and Dissertations NonPeerReviewed |
| Language: | English Indonesian |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://repository.unair.ac.id/77063/1/ABSTRAK.pdf http://repository.unair.ac.id/77063/2/FK.%20PD.%20110-18%20Sal%20f.pdf http://repository.unair.ac.id/77063/ http://lib.unair.ac.id |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universitas Airlangga |
| Language: | English Indonesian |
| Summary: | Background: Infants with Low Birth Weight (LBW) was one of the main
indicators of the cause of high infant mortality rates (IMR). The causes of IMR and
Maternal Mortality Rate (MMR) were determined by factors in maternal condition
before and during pregnancy. In 2015 LBW in Surabaya reached 2.58%, namely a
number of 1,261 of 48,783 born babies weighed. This study was carried out by
analyzing the effect of educational status, occupation, maternal age, parity, weight
gain, blood pressure, and hemoglobin level as risk factors affecting LBW in RSUD
Dr. M. Soewandhie Surabaya.
Method: This study used case control method with a retrospective approach using
patient medical records as secondary data. The sample population were mothers
who gave birth to babies with birth weight of 1500 - 4000 grams in RSUD Dr. M.
Soewandhie Surabaya. The number of samples consisted of 80 with case and
control ratio of 1: 1. The sampling technique used was purposive sampling. Data
collection techniques used variable data collection sheets taken from secondary
data, namely medical records. Analysis was carried out by Chi-Square and Odds
Ratio (OR) statistical tests.
Result: Based on the Chi-Square test, there was a relationship between educational
status (p = 0.034) and maternal age (p = 0.006) with the incidence of LBW. While
occupation (p = 0.811), parity (p = 0.364), weight gain (0.494), blood pressure (p =
0.650), and hemoglobin level (p = 0.646) were not related with LBW incidence.
The results of this study indicated that the educational status of mothers that
graduated from elementary - high school was at risk of 9.750 times and mothers
that was less than 20 years or more than 35 years had a risk 4.059 times in delivering
LBW.
Conclusion: Educational status and maternal age were the risk factor that had a
correlation with LBW. While the factors that have no correlation were occupation,
parity, weight gain, blood pressure, and hemoglobin level.
Keywords: low birth weight, risk factor, odds ratio |
|---|