Investing in the Livestock Sector : Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data

Pica-Ciamarra, Ugo; Baker, Derek; Morgan, Nancy; Zezza, Alberto; Azzarri, Carlo; Ly, Cheikh; Nsiima, Longin; Nouala, Simplice; Okello, Patrick; Sserugga, Joseph

doi:10.1596/17830

Cited by 39 publications

(52 citation statements)

References 25 publications

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“…There is no TLU index created specifically for Ethiopia, therefore, the indexes for Tropical Africa was used in this study. The TLUs were calculated using the following weighted index factors: cattle = 0.7, horses = 0.5, mules = 0.5, donkey = 0.5, sheep = 0.1, goats = 0.1, chickens = 0.01 [28].…”

Section: Data Collection and Measurementsmentioning

confidence: 99%

Dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia

Demilew

Alene

Belachew

2020

BMC Pregnancy Childbirth

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Background: The optimal dietary practice is a critical requisite for maternal nutrition. However, the majority of Ethiopian pregnant women have inadequate nutrient intakes. These may be due to their poor dietary habits. Identifying factors affecting the dietary practices of pregnant women is crucial to design appropriate interventions. In this country, the dietary practices of pregnant women and determinants are not well studied. Therefore, the purpose of this study was to assess the dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia. Methods: A community-based cross-sectional study was carried out among 712 pregnant women from May to August 2018. Quantitative data complemented with a qualitative method. Pregnant women were selected using a cluster sampling technique. Structured questionnaires were utilized for data collection. Data were entered into Epi-Info version 7.2.2 and exported to SPSS version 23 software for analysis. Data were described using frequencies and mean. A logistic regression analysis was done. Three focus group discussions and 17 key-informant interviews were conducted for the qualitative data. Focus group discussion participants were mothers, husbands, and health professionals. Typical case and homogeneous sampling techniques were used for the key-informant interviews and focus group discussions, respectively. Thematic analysis was used for the qualitative data. Results: Only 19.9% of respondents had appropriate dietary practices. On the multivariable logistic regression analyses, being food secure [AOR = 2.25, 95% CI: (1.1, 4.5)], having high edible crop production [AOR = 2.00, 95% CI: (1.2, 3.2)] and a favorable attitude [AOR = 1.69, 95% CI: (1.1, 2.6)] were significantly associated with the appropriate dietary practices of pregnant women. In the qualitative study, lack of knowledge on maternal diet, cultural prohibition, and knowledge gap of the professionals were barriers that interfere with dietary practices during pregnancy. Conclusion: Pregnant women in the study area are found to have suboptimal dietary practices. Therefore, health professionals should give regular nutrition counseling using cards and role models for promoting diversified food production and consumption.

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Section: Data Collection and Measurementsmentioning

confidence: 99%

Dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia

Demilew

Alene

Belachew

2020

BMC Pregnancy Childbirth

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“…Livelihood strategies of rural people heavily depend on livestock farming, particularly in developing countries (Wanzala et al, 2005;Pica-Ciamarra et al, 2011). Especially in mountainous and high altitude areas, livestock is vital for local economies, food and social security, and is often a symbol of prestige (Afzal and Naqvi, 2004;Moyo and Swanepoel, 2010;Abbasi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Ethnoveterinary medicinal plant knowledge and practice among the tribal communities of Thakht-e-Sulaiman hills, west Pakistan

Ahmad

Weckerle

2015

Journal of Ethnopharmacology

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“…However, the database on livestock in developing countries, particularly in sub-Saharan Africa has historically been fragmented and inaccessible, somewhat limiting potential for livestock quantification modeling. Efforts that improve the livestock data base (e.g., Otte and Chilonda, 2002) or catalyze achievement of the same (e.g., Pica-Ciamarra et al, 2014), by addressing perhaps the most limiting factor, improve the development and application of quantitative models for the analysis of propoor livestock policy, research and investments for development.…”

Section: Macro-level Perspectivementioning

confidence: 99%

Integrating livestock feeds and production systems into agricultural multi-market models: The example of IMPACT

Msangi

Enahoro²,

Herrero

et al. 2014

Food Policy

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Investing in the Livestock Sector : Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data

Cited by 39 publications

References 25 publications

Dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia

Dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia

Ethnoveterinary medicinal plant knowledge and practice among the tribal communities of Thakht-e-Sulaiman hills, west Pakistan

Integrating livestock feeds and production systems into agricultural multi-market models: The example of IMPACT

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