Food Insecurity and Perceived Effects of COVID-19 on Livelihoods in Rural Sri Lanka.

BACKGROUND: Little is known about how the COVID-19 pandemic has affected food security and livelihoods in Sri Lanka. OBJECTIVE: This article aims to assess food insecurity, perceived effects of COVID-19, and coping mechanisms among agriculture-based households in rural Sri Lanka. METHODS: We used 2 rounds of panel data from phone surveys (n = 1057 households) conducted in 5 districts. Food insecurity (30-day recall), perceived impacts of COVID-19 (6-month recall), and coping mechanisms (6-month recall) were assessed using a household questionnaire. To assess food insecurity, we used the 8-item Food Insecurity Experience Scale. We tested for differences between T1 (baseline: December 2020-February 2021) and T2 (follow-up: July 2021-September 2021) and explored the association between food insecurity and the perceived effect of COVID-19 on income using a logistic regression model. RESULTS: Food insecurity was highly prevalent (T1: 75%, T2: 80%) but varied across districts. Most respondents were affected by COVID-19 and/or COVID-19-associated mitigation measures (T1: 84%, T2: 89%). Among affected households, commonly reported impacts included those on income (T1: 77%, T2: 76%), food costs (T1: 84%, T2: 83%), and travel (∼90% in both rounds). Agricultural activities were also adversely affected (T1: 64%, T2: 69%). About half of COVID-19-affected households reported selling livestock or assets to meet basic needs. Households whose income was impacted by COVID-19 were more likely to be food insecure (adjusted odds ratio: 2.56, P < .001). CONCLUSIONS: Households in rural Sri Lanka experienced food insecurity and livelihood disturbances during the COVID-19 pandemic. Additional surveys are needed to assess recovery post-COVID-19 and to understand if programs that support livelihoods have been protective.

METHOD: This original article used household level survey data from 2 rounds of phone surveys conducted in 5 districts of Sri Lanka.Using a household-level questionnaire, we recorded experience of food insecurity in the last 30 days, perceived impact of COVID-19, and adopted coping mechanism in the 6 months prior to the survey.We reported statistical means and tested for differences between 2 survey rounds.We also explored association between food insecurity and the perceived effect of COVID-19 on income. RESULTS: Household-level food insecurity was highly prevalent during the pandemic.Households perceived a negative effect of the pandemic on their income and employment sources.Households whose income was impacted by the pandemic were more likely to be food insecure. CONCLUSION: Agriculture-based households in rural Sri Lanka experienced food insecurity and livelihood disturbances during the COVID-19 pandemic.Additional research is needed to assess recovery post COVID-19 and to understand whether livelihood support programs have been protective.

Plain language titleFood Insecurity and Perceived Effects of COVID-19 on Livelihoods in Rural Sri LankaPlain language summaryBackground: Sustained levels of high food insecurity are associated with a range of negative health, nutrition, and well-being effects.The COVID-19 pandemic is expected to aggravate food insecurity and worsen the livelihood situation.Little is known about how the COVID-19 pandemic affected food security and livelihoods of agriculture-based households in rural Sri Lanka.

Unequal coverage of nutrition and health interventions for women and children in seven countries.

OBJECTIVE: To examine inequalities and opportunity gaps in co-coverage of health and nutrition interventions in seven countries. METHODS: We used data from the most recent (2015-2018) demographic and health surveys of mothers with children younger than 5 years in Afghanistan (n = 19 632), Bangladesh (n = 5051), India (n = 184 641), Maldives (n = 2368), Nepal (n = 3998), Pakistan (n = 8285) and Sri Lanka (n = 7138). We estimated co-coverage for a set of eight health and eight nutrition interventions and assessed within-country inequalities in co-coverage by wealth and geography. We examined opportunity gaps by comparing coverage of nutrition interventions with coverage of their corresponding health delivery platforms. FINDINGS: Only 15% of 231 113 mother-child pairs received all eight health interventions (weighted percentage). The percentage of mother-child pairs who received no nutrition interventions was highest in Pakistan (25%). Wealth gaps (richest versus poorest) for co-coverage of health interventions were largest for Pakistan (slope index of inequality: 62 percentage points) and Afghanistan (38 percentage points). Wealth gaps for co-coverage of nutrition interventions were highest in India (32 percentage points) and Bangladesh (20 percentage points). Coverage of nutrition interventions was lower than for associated health interventions, with opportunity gaps ranging from 4 to 54 percentage points. CONCLUSION: Co-coverage of health and nutrition interventions is far from optimal and disproportionately affects poor households in south Asia. Policy and programming efforts should pay attention to closing coverage, equity and opportunity gaps, and improving nutrition delivery through health-care and other delivery platforms.

The double burden of malnutrition in India: Trends and inequalities (2006-2016).

Rapid urban expansion has important health implications. This study examines trends and inequalities in undernutrition and overnutrition by gender, residence (rural, urban slum, urban non-slum), and wealth among children and adults in India. We used National Family Health Survey data from 2006 and 2016 (n = 311,182 children 0-5y and 972,192 adults 15-54y in total). We calculated differences, slope index of inequality (SII) and concentration index to examine changes over time and inequalities in outcomes by gender, residence, and wealth quintile. Between 2006 and 2016, child stunting prevalence dropped from 48% to 38%, with no gender differences in trends, whereas child overweight/obesity remained at ~7-8%. In both years, stunting prevalence was higher in rural and urban slum households compared to urban non-slum households. Within-residence, wealth inequalities were large for stunting (SII: -33 to -19 percentage points, pp) and declined over time only in urban non-slum households. Among adults, underweight prevalence decreased by ~13 pp but overweight/obesity doubled (10% to 21%) between 2006 and 2016. Rises in overweight/obesity among women were greater in rural and urban slum than urban non-slum households. Within-residence, wealth inequalities were large for both underweight (SII -35 to -12pp) and overweight/obesity (+16 to +29pp) for adults, with the former being more concentrated among poorer households and the latter among wealthier households. In conclusion, India experienced a rapid decline in child and adult undernutrition between 2006 and 2016 across genders and areas of residence. Of great concern, however, is the doubling of adult overweight/obesity in all areas during this period and the rise in wealth inequalities in both rural and urban slum households. With the second largest urban population globally, India needs to aggressively tackle the multiple burdens of malnutrition, especially among rural and urban slum households and develop actions to maintain trends in undernutrition reduction without exacerbating the rapidly rising problems of overweight/obesity.