Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Tackling nutrition insecurity remains a critical challenge in developing countries. In the predominantly rain-fed and smallholder-based farming systems of Ethiopia, production diversity and livelihood strategies of the farm households vary across geographic areas. However, the effects of household socioeconomic characteristics, production diversity, and household incomes on nutrition profiles in distinct settings have been inadequately understood. Therefore, this study was undertaken to examine the association of farming system type, sources of income, and household wealth status with household nutrition profiles in three remote locations such as Mennisa, Welmel Tiqa, and Agam Wuha that represent root crops-based farming, maize-based semi-pastoral farming, and teff-based cereal farming systems, respectively. A combination of qualitative and quantitative data collection techniques was employed. A multistage sampling procedure was used to select a total of 265 smallholder households for the structured survey interviews. Standard statistical tests and Tobit regression analyses were performed after determining the wealth category of each household. Results revealed a diversity of income sources used by each of the farm households with average values of 9 in Mennisa, 10 in Agam Wuha, and 11 in Welmel Tiqa, with the contributions of each income source varying by household wealth category and location. As expected, expenditures on food significantly exceeded those on non-food categories for poor households and vice versa for rich wealth households. The average total food variety score (FVS) for Welmel Tiqa was twice that for Agam Wuha, confirming the need for site-specific nutrition profile assessments. Despite the observed differences in household nutrition profiles among wealth categories and locations, the apparent intakes of vitamin A, vitamin B, vitamin D, and calcium were consistently below the population-level estimated average requirements across all locations. The number of adequately consumed nutrients by farm households was negatively associated with family size, age of household heads, livestock holdings, wealth categories, and irrigation use, and positively associated with crop production diversity, income diversity, and FVS. The negative association between irrigation use and nutrition security was likely due to the focus on producing crops with a high market value on land under irrigation, coupled with ineffective allocation of generated income for enhancing household nutritional outcomes. Therefore, programs that include irrigated agriculture investments should consider adopting a more integrated nutrition-sensitive interventions, including consideration of locally adapted nutritious crops, such as orange-flesh sweet potato, to address critical deficiency of Vitamin A, nutrition training coupled with development of recipes and cooking demonstrations, and marketing and promotion for nutritious crops.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11317682 | PMC |
http://dx.doi.org/10.1002/fsn3.4194 | DOI Listing |
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