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Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
Anaelena Bragança de Moraes1, Roselaine Ruviaro Zanini, João Riboldi
1Universidade Federal de Santa Maria, Santa Maria, Brasil. anaelena.bm@terra.com.br
Insights
Low birth weight (LBW) risk factors in Brazil were identified using individual and micro-regional data. Urbanization increased LBW risk, while single mothers faced higher risks in less urbanized areas.
Area of Science:
- Public Health
- Epidemiology
- Biostatistics
Background:
- Low birth weight (LBW) is a significant global health concern.
- Identifying risk factors is crucial for targeted interventions.
- Previous studies often focused solely on individual-level factors.
Purpose of the Study:
- To identify individual and contextual risk factors for LBW in singleton live births in Rio Grande do Sul, Brazil.
- To analyze risk factors at both individual (infant) and contextual (micro-region) levels.
- To explore the influence of urbanization and maternal characteristics on LBW.
Main Methods:
- Utilized data from the Information System on Live Births for 2003.
- Employed classical multivariate and multilevel logistic regression models.
- Evaluated risk factors at individual (live births) and contextual (micro-regions) levels.
Main Results:
- Individual-level factors associated with LBW include prematurity, prenatal visits, congenital anomalies, delivery place, parity, sex, maternal age, occupation, marital status, schooling, and delivery type.
- Multilevel models revealed increased LBW risk with greater micro-regional urbanization.
- In less urbanized areas, single mothers had a higher risk of LBW.
Conclusions:
- LBW is associated with both individual and contextual characteristics in Rio Grande do Sul.
- Micro-regional urbanization is an important contextual risk factor for LBW.
- Multilevel modeling provides a more comprehensive understanding of LBW determinants.
Abstract:
The objective of this study was to identify risk factors for low birth weight in singleton live born infants in Rio Grande do Sul State, Brazil, in 2003, based on data from the Information System on Live Births. The study used both classical multivariate and multilevel logistic regression. Risk factors were evaluated at two levels: individual (live births) and contextual (micro-regions). At the individual level the two models showed a significant association between low birth weight and prematurity, number of prenatal visits, congenital anomalies, place of delivery, parity, sex, maternal age, maternal occupation, marital status, schooling, and type of delivery. In the multilevel models, the greater the urbanization of the micro-region, the higher the risk of low birth weight, while in less urbanized micro-regions, single mothers had an increased risk of low birth considering all live births. Low birth weight varied according to micro-region and was associated with individual and contextual characteristics. Although most of the variation in low birth weight occurred at the individual level, the multilevel model identified an important risk factor in the contextual level.
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