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Statistical methods for analysis of repeated measures on maternal morbidity
M Ataharul Islam1, Rafiqul I Chowdhury, Karan P Singh
1Department of Statistics and Operations Research, King Saud University, Riyadh, Saudi Arabia. mataharul@yahoo.com
The Australian Journal of Rural Health
|August 17, 2006
Summary
Identifying risk factors for pregnancy complications in rural Bangladesh is crucial. Factors like economic status and antenatal care visits are key, alongside addressing unwanted pregnancies and teenage births.
Area of Science:
- Maternal Health
- Public Health
- Biostatistics
Background:
- Pregnancy-related complications pose a significant threat to maternal health in rural Bangladesh.
- Understanding contributing factors is essential for effective policy development and intervention strategies.
Purpose of the Study:
- To statistically identify factors associated with pregnancy-related complications in rural Bangladesh.
- To inform policy formulation aimed at reducing maternal morbidity.
Main Methods:
- Analysis of repeated-measures maternal morbidity data from rural Bangladesh.
- Application of linear logistic regression and generalized estimating equation (GEE) approaches.
- Comparison of results from different statistical methods to identify potential risk factors.
Main Results:
- Positive associations found with economic status, antenatal care visits, and histories of sexually transmitted disease, hypertension, heart disease, and breathing problems.
- Negative associations observed with wanted pregnancies, household type, education levels, and multiparity (five or more pregnancies).
- GEE approach identified duration of pregnancy as a significant factor, unlike conditional models.
Conclusions:
- Reducing unwanted pregnancies through targeted family planning is recommended.
- Addressing nutritional anaemia and delaying first pregnancies among teenagers are critical for mitigating complications.
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