| Literature DB >> 30041091 |
Hanson Nyantakyi-Frimpong1, Esi K Colecraft2, Raphael Baffour Awuah3, Leonard Kofi Adjorlolo4, Mark L Wilson5, Andrew D Jones6.
Abstract
Livestock production and Animal-Source Foods (ASFs) like meat, milk, and eggs are excellent sources of essential micronutrients, including iron and zinc. There is evidence that encouraging increased access to and consumption of these ASFs may either positively or negatively impact anemia, or have no nutritional effects. Drawing upon first-hand experiences in Ghana, this study sought to: (1) identify the main motivations for raising livestock in Ghana; (2) describe the major barriers to consuming ASFs, especially among women of reproductive age (WRA); and (3) explore the feasibility of different livestock-centered interventions to reduce anemia. Key informant interviews and focus group discussions were held with relevant stakeholders at different geographical scales - the national, regional, district, and community levels. The results suggest that livestock enable savings, allow resource-poor households to accumulate assets, and help finance planned and unplanned expenditures (e.g., school fees and illness). Due to these multiple and often pressing uses, direct consumption of home-reared ASFs is not a major priority, especially for poor households. Even when ASFs are consumed, intra-household allocation does not favor women and adolescent girls, demographic groups with particularly high micronutrient requirements. The study participants discussed possible interventions to address these challenges, including (1) increasing livestock ownership through in-kind credit; (2) encouraging nutrition-related behavior change; (3) improving livestock housing; and (4) hatchery management. The paper discusses these interventions based upon potential acceptance, feasibility, cost effectiveness, and sustainability in the Ghanaian context.Entities:
Keywords: Anemia; Animal-source foods; Ghana; Infectious diseases; Livestock production and management; Nutrition
Mesh:
Year: 2018 PMID: 30041091 PMCID: PMC6085513 DOI: 10.1016/j.socscimed.2018.07.028
Source DB: PubMed Journal: Soc Sci Med ISSN: 0277-9536 Impact factor: 4.634
Fig. 1Conceptual framework of hypothesized causal linkages between animal agricultural production and capture, and anemia among adolescent girls and women of reproductive age.
Fig. 2Locations of the study Districts and Regions in Ghana.
Districts in red, green, and yellow are located in the Northern, Volta, and Central Regions, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Characteristics of the three study Regions in Ghana.
| Characteristics | Region | ||
|---|---|---|---|
| Total population (2010 national census) | 2,201,863 | 2,118,252 | 2,479,461 |
| Mean household size, number of persons | 4 | 4.2 | 7.7 |
| Population living below the poverty line ($1.83 per day), % | 18.8 | 33.8 | 50.4 |
| Agricultural households engaged in livestock rearing, % | 34.9 | 3.9 | 30.0 |
| Agricultural households engaged in fish farming, % | 0.2 | 0.2 | 0.1 |
| Anemia (chiuldren under age 5), % | 85.4 | 79.5 | 82.0 |
| Study Districts | Gomoa East Twifo-Hemang-Lower Denkyira | Hohoe Keta Kpando | Central Gonja East Mamprusi Karaga |
| Study communities | |||
| Major ecological zone | Coastal savannah | Savannah-forest transition | Guinea savannah |
| Number of growing seasons | 2 seasons; a major and minor rainy season | 2 seasons; a major and minor rainy season | 1 season; a single and relatively short rainy season |
| Major livelihood activities | Farming, fishing, hunting, livestock rearing | Farming, fishing, hunting, livestock rearing | Farming, livestock rearing |
Data Sources.
Ghana Statistical Service (2013a, p.22, 38, 112).
Ghana Statistical Service (2013c, p.24, 115, 124).
Ghana Statistical Service (2013b, p.24, 38, 91).
Ghana Statistical Service (2014, p.14, p.14).
Ewusie et al. (2014, p.7); Children under age 5 with hemoglobin level less than 11.0 g/dl were considered anemic in this cited study. The cut-off values for the various levels of severity were: <7.0 g/dl for severe anemia, 7.0 g/dl-9.9 g/dl for moderate anemia, and 10.0 g/dl-10.9 g/dl for mild anemia.
Total number of Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs).
| Setting in Ghana | Key Informant Interviews (KIIs) | Focus Group Discussions (FGDs) |
|---|---|---|
| National | 13 | – |
| Central Region | 9 | 16 |
| Northern Region | 10 | 16 |
| Volta Region | 14 | 16 |
Note: Not this entire dataset is used in the current paper. We draw on only a sub-sample (see Table 3).
Sample characteristics (N = 224 participants; 21 in KIIs, and 203 in FGDs).
| KII# | Profile | Age | Gender | Setting |
|---|---|---|---|---|
| 1 | Veterinary Officer | – | Female | National Level ( |
| 2 | Gender Specialist | – | Female | |
| 3 | Nutritionist | – | Female | |
| 4 | NGO Officer | – | Male | |
| 5 | Animal Production Specialist | – | Male | |
| 6 | Agricultural Extension Specialist | – | Male | |
| 7 | Health NGO Officer | – | Male | |
| 8 | Health NGO Officer | – | Female | Central Region ( |
| 9 | Chairman, Community-based Organization#2 | – | Male | |
| 10 | Chairman, Community-based Organization#1 | – | Male | |
| 11 | Medical Officer | – | Male | |
| 12 | NGO Officer | – | Male | |
| 13 | Medical Officer | – | Male | Northern Region ( |
| 14 | Food and Agriculture Development Specialist | – | Male | |
| 15 | NGO Officer | – | Male | |
| 16 | Organizing Officer, Local Farmers' Group | – | Male | |
| 17 | Fisheries Specialist | – | Female | Volta Region ( |
| 18 | Chairman, Community-based Organization | – | Male | |
| 19 | Medical Officer | – | Male | |
| 20 | Food and Agriculture Development Specialist | – | Male | |
| 21 | NGO Officer | – | Male | |
|
| ||||
| 1 | Community Members ( | 18 | Female | Central Region ( |
| 2 | Community Members ( | 17 | Female | |
| 3 | Community Members ( | 42 | Female | |
| 4 | Community Members ( | 46 | Male | |
| 5 | Community Members ( | 38 | Male | |
| 6 | Community Members ( | 42 | Male | |
| 7 | Community Members ( | 18 | Female | Northern Region ( |
| 8 | Community Members ( | 19 | Female | |
| 9 | Community Members ( | 17 | Female | |
| 10 | Community Members (n = 9) | 33 | Female | |
| 11 | Community Members ( | 42 | Female | |
| 12 | Community Members ( | 33 | Female | |
| 13 | Community Members ( | 39 | Male | |
| 14 | Community Members ( | 42 | Male | |
| 15 | Community Members (n = 9) | 48 | Male | |
| 16 | Community Members ( | 17 | Female | Volta Region ( |
| 17 | Community Members ( | 18 | Female | |
| 18 | Community Members ( | 37 | Female | |
| 19 | Community Members ( | 33 | Female | |
| 20 | Community Members ( | 39 | Male | |
| 21 | Community Members ( | 41 | Male | |
| 22 | Community Members ( | 47 | Male | |
F = Female; M = Male.
Note: n = number of participants in the focus group. A total of 203 participants in the 22 groups combined.
Summary of overarching themes.
| Organizing themes | Basic themes | Number of KIIs or FGDs in which theme was mentioned | |
|---|---|---|---|
| KIIs ( | FGDs ( | ||
Income generation & savings (school fees, health, emergency funds) | 19 | 22 | |
Ceremonial or symbolic uses (marriages, funerals, child naming) | 18 | 19 | |
Enhancing crop production (draught animal power; manure fertilizer) | 16 | 13 | |
Difficult to afford (production risks and costs, price at market high) | 16 | 11 | |
Lack of knowledge (special nutritional needs, ASF health benefits) | 11 | 6 | |
Selective consumption (mostly small or sick animals, unequal sharing at the household level [gender and age]) | 13 | 18 | |
Social and behavior change communication (education) | 17 | 5 | |
Improved livestock housing (animal safety, reducing human disease) | 10 | 11 | |
Encourage livestock with in-kind credit (expand programs, education) | 7 | 10 | |
Enhanced fowl hatchery management (share improved techniques) | 2 | – | |
Connections between the barriers identified and interventions proposed.