- Title
- Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: Multilevel multinomial analysis
- Creator
- Kibret, Kelemu Tilahun; Chojenta, Catherine; D'Arcy, Ellie; Loxton, Deborah
- Relation
- Public Health Nutrition Vol. 24, Issue 13, p. 4166-4176
- Publisher Link
- http://dx.doi.org/10.1017/S1368980020003109
- Publisher
- Cambridge University Press
- Resource Type
- journal article
- Date
- 2021
- Description
- Objective: This study aimed to identify factors for different levels of anaemia among Ethiopian women and to estimate the population attributable fraction (PAF). Design: This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed using multilevel multinomial regression models, and the PAF were estimated using these AOR. Setting: This study was conducted in Ethiopia. Participants: Women of reproductive age. Results: The PAF showed that the proportion of mild anaemia cases attributable to having no formal education was 14·6 % (95 % CI 3·4, 24·5), high gravidity (≥4) was 11·2 % (95 % CI 1·2, 19·9) and currently breast-feeding was 5·2 % (95 % CI 0·0, 10·7). Similarly, the proportion of moderate-severe anaemia cases attributable to being in a rural residence was 38·1 % (95 % CI 15·9, 54·8); poorest wealth quantile, 12·6 % (95 % CI 2·9, 24·6); giving birth in the last 5 years, 10·5 % (95 % CI 2·9, 18·2) and unimproved latrine facilities, 17 % (95 % CI 0, 32·5). Conclusions: The PAF suggest that rural residency, low education, low wealth status, high parity, pregnancy and breast-feeding contribute substantially to the occurrence of anaemia among women in Ethiopia. Mild anaemia could be reduced by setting intervention strategies targeting women with low education, multigravida women and breast-feeding women, while preventing moderate-severe anaemia may require increasing income and improving living environments through the accessibility of hygienic latrines.
- Subject
- population attributable fractions; anaemia; women; multinomial model
- Identifier
- http://hdl.handle.net/1959.13/1449661
- Identifier
- uon:43726
- Identifier
- ISSN:1368-9800
- Language
- eng
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