Posted: November 26th, 2016
Please, calculate the relative risk (RR) for LBW in the study sample for women with a crowding index ≥4 compared to those with a crowding index <4. Please, explain and interpret the result. (2 marks)
Based on the presented data set, the following table was generated:
| Newborn with LBW (outcome) | Newborn with NBW (no outcome) | Total | |
| Crowding index of ≥4 (exposed) | 6 | 3 | 9 |
| Crowding index of <4 (not exposed) | 2 | 15 | 17 |
| Total | 8 | 18 | 26 |
LBW: low birth weight (birth weight of < 2500 g)
NBW: normal birth weight (birth weight of ≥ 2500 g)
Crowding index is an indicator of the socio-economic status of a family. The higher the crowding index, the lower the socio-economic status.
Looking at the previous table, an investigator hypothesizes that the relative risk of having a low birth weight newborn is high when the crowding index of the family is high. He collects a large sample of 300 pregnant women, determines their crowding index, and measures the weight of their newborns upon delivery. His results are presented in the below table:
| Newborn with LBW | Newborn with NBW | Total | |
| Crowding index of ≥4 | 82 | 48 | 130 |
| Crowding index of <4 | 54 | 116 | 170 |
| Total | 136 | 164 | 300 |
- Please, calculate the relative risk (RR) for LBW in the study sample for women with a crowding index ≥4 compared to those with a crowding index <4. Please, explain and interpret the result. (2 marks)
- Then, please compute the 95% CI for the RR in the population. Please, explain and interpret the result.
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