Seasonal variations in household food insecurity and dietary diversity and their association with maternal and child nutritional status in rural Ethiopia

Roba, Kedir Teji; O’Connor, Thomas P.; O’Brien, Nora M.; Aweke, Chanyalew Seyoum; Kahsay, Zenebe Abraha; Chisholm, Nick; Lahiff, Edward

doi:10.1007/s12571-019-00920-3

Cited by 25 publications

(15 citation statements)

References 44 publications

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“…Site-mean HFIAS scores ranged from 1.03 (SD ¼ 2.55) in Kathmandu, Nepal, to 16.08 (SD ¼ 8.06) in Gressier, Haiti. The overall range was typical of HFIAS scores observed in similar low-and middle-income settings (e.g., De Cock et al 2013;Roba et al 2019).…”

Section: Resultsmentioning

confidence: 68%

The Household Water Insecurity Experiences (HWISE) Scale: comparison scores from 27 sites in 22 countries

Stoler

Miller

Adams

et al. 2021

Journal of Water, Sanitation and Hygiene for Development

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Household survey data from 27 sites in 22 countries were collected in 2017–2018 in order to construct and validate a cross-cultural household-level water insecurity scale. The resultant Household Water Insecurity Experiences (HWISE) scale presents a useful tool for monitoring and evaluating water interventions as a complement to traditional metrics used by the development community. It can also help track progress toward achievement of Sustainable Development Goal 6 ‘clean water and sanitation for all’. We present HWISE scale scores from 27 sites as comparative data for future studies using the HWISE scale in low- and middle-income contexts. Site-level mean scores for HWISE-12 (scored 0–36) ranged from 1.64 (SD 4.22) in Pune, India, to 20.90 (7.50) in Cartagena, Colombia, while site-level mean scores for HWISE-4 (scored 0–12) ranged from 0.51 (1.50) in Pune, India, to 8.21 (2.55) in Punjab, Pakistan. Scores tended to be higher in the dry season as expected. Data from this first implementation of the HWISE scale demonstrate the diversity of water insecurity within and across communities and can help to situate findings from future applications of this tool.

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Section: Resultsmentioning

confidence: 68%

The Household Water Insecurity Experiences (HWISE) Scale: comparison scores from 27 sites in 22 countries

Stoler

Miller

Adams

et al. 2021

Journal of Water, Sanitation and Hygiene for Development

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“…Moreover, fish become ‘diluted’ in flood‐pulse waters, resulting in lower catch rates and catch (Endo, Peres, & Haugaasen, 2016), and reduced fish consumption in Amazonia (Begossi, Silvano, Amaral, & Oyakawa, 1999; Da Silva & Begossi, 2009; Saint‐Paul, Zuanon, & Correa, 2000) and the Congo (Poulsen, Clark, Mavah, & Elkan, 2009). Although these studies did not measure food security, their results suggest that seasonal food insecurity may be characteristic of wild food systems, just as it is common in agricultural systems (Ferro‐luzzi, Morris, Amato, & Nazionale, 2001; Roba et al, 2019; Vaitla, Devereux, & Swan, 2009).…”

Section: Introductionmentioning

confidence: 99%

Tough fishing and severe seasonal food insecurity in Amazonian flooded forests

2020

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1. Billions of people rely on harvesting wildlife for food, and must contend with catch rates that vary in space (e.g. overharvesting near communities) and time (e.g. seasonal migrations). Yet, research has overlooked potential linkages between reduced wildlife catch rates (catch-per-unit-effort) and food security. Moreover, assumptions that people living in biologically rich environments are food secure lack empirical testing. This is problematic given that food security rests on having stable access to sufficient food, rather than there being sufficient food.2. We examine spatiotemporal variation in fish catch rates and perceived food security among rural communities in Amazonian flooded forests. We also assess social inequities in food insecurity. We used structured interviews to collect data on fishing, hunting, chicken and beef consumption, and perceptions of food security.We did so during 556 household visits along a spatial gradient (1,267 km) of commercial fishing pressure, during high-and low-water seasons.3. We provide the first empirical evidence of simultaneous seasonal crashes in wildlife catch rates and food insecurity. During the high-water season, fish catch rates were 73% lower, and the probability of not eating for a whole day was four times higher. With a third of households skipping meals and a sixth not eating for a whole day during this season, food security can be classed as severe. However, less-deprived households tended to avoid severe food insecurity. Fish catch rates and perceived food security did not vary along a spatial gradient of commercial overfishing. River-dwelling Amazonians increased fishing and hunting efforts during the high-water season, without eating more chicken and beef, emphasizing the importance of stable access to wild fish and bushmeat.4. This study shows how wildlife catch rates and food security can crash seasonally and simultaneously, demonstrating the fallacies of environmental and social policies which assume stability of food availability in resource-rich areas. Our results have implications for degraded habitats where falls in catch rates also occur. This suggests that overharvesting, as with other causes of reduced catch rates, could cause food insecurity in wildlife-reliant populations. | 469People and Nature TREGIDGO ET al.

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“…Low dietary diversity and nutritional inadequacy are widely prevalent in Ethiopia with significant variations between urban and rural areas, across regions and other socio-economic characteristics (e.g., Abegaz et al 2018;Berhane et al 2011;D'Souza and Jolliffe 2016;EPHI 2013EPHI , 2016Herrador et al 2015), and between agricultural seasons (Hirvonen et al 2016;Roba et al 2019). According to the 2016 Demographic and Health Survey (DHS), for example, the proportion of children aged 6-23 months who received the minimum acceptable diet 1 was very low: 19% in urban areas in contrast to 6% in rural areas; and, 27% in Addis Ababa in contrast to 2-3% in Afar, Somali, and Amhara regions (CSA and ICF 2016).…”

Section: Introductionmentioning

confidence: 99%

Can household dietary diversity inform about nutrient adequacy? Lessons from a food systems analysis in Ethiopia

Mekonnen¹,

Talsma

Trijsburg

et al. 2020

Food Sec.

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This study examined the use of the household dietary diversity score (HDDS) to assess household nutrient adequacy in Ethiopia. It also examined the correlates of HDDS following the food systems framework. Results show that the average nutrient consumption in Ethiopia varies by place of residence and by income profile, where households in urban areas and those in the higher income quintiles rank favorably. Among 13 nutrients under study, we found nutrient inadequacy for fat, calcium, zinc, riboflavin, niacin, folate, vitamin C and vitamin A ranging between 46% and 89%, and the prevalence of inadequacy for vitamin B12 to be up to 100%. Econometric results showed that HDDS is a strong predictor of a household's mean probability of nutrient adequacy (MPA), and that an HDDS of 10 is the minimum threshold at which HDDS can improve household MPA. We found suggestive evidence within the food systems that improving household-incomes, access to health and transport services are beneficial to improve HDDS and nutrient consumption in Ethiopia.

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Seasonal variations in household food insecurity and dietary diversity and their association with maternal and child nutritional status in rural Ethiopia

Cited by 25 publications

References 44 publications

The Household Water Insecurity Experiences (HWISE) Scale: comparison scores from 27 sites in 22 countries

The Household Water Insecurity Experiences (HWISE) Scale: comparison scores from 27 sites in 22 countries

Tough fishing and severe seasonal food insecurity in Amazonian flooded forests

Can household dietary diversity inform about nutrient adequacy? Lessons from a food systems analysis in Ethiopia

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