Food price volatility and socio-inequalities in household food insecurity during coronavirus disease-2019 lockdown in Nansana municipality, Wakiso district Uganda

2020 ◽  
Author(s):  
Edward Buzigi ◽  
Stephen Onakuse

Abstract BackgroundThis study assessed staple food price volatility, food consumption scores (FCS) and prevalence of household food insecurity (HHFI) and its socio-inequalities during enforcing and lifting corona virus disease -2019 (COVID-19) lockdown in Nansana municipality, Uganda.MethodsA repeated households (HHs) based cross-sectional study was conducted in urban Nansana Municipality, Uganda. A total of 405 HHs (205 slum and 200 non-slum) were selected using stratified random sampling. Data on social demographics and FCS in the previous 7 days were collected using questionnaire-based telephone interviews with HH heads. Prices for staple foods was collected by asking food sellers from local markets. Mean staple food price differences between before COVID-19 lockdown and during enforcing or lifting the lockdown was tested by paired t test. A binary outcome of HHFI (FCS of 0-35) and food secure (FCS>35) HHs was created. The association between exposure variables and HHFI was tested using multivariate logistic regression analysis at a probability value of 5%.ResultsMean price of staple food significantly increased between before and during enforcing the COVID-19 lockdown (p <0.0001). Mean FCS during COVID-19 lockdown were at borderline for either slum (22.8) or non-slum (22.9) HHs, and were not significantly different from each other (p=0.06). During partial lifting of the lockdown, FCS among slum HHs were significantly lower at 20.1 (poor) compared to non-slum HHs at 22.7 (borderline) (p=0.01). The mean FCS was significantly higher at borderline (24.5) among HHs that received food aid compared to poor FCS (18.2) among slum HHs that did not receive food aid (p<0.0001). The prevalence of HHFI was high and not significantly different (p>0.05) between slum (94.6%) and non-slum (93.5%) HHs during COVID-19 lockdown. HHFI was higher in slum (98.5%) than non-slum (94%) HHs (p<0.05) on partial lifting of the lockdown. Adjusted odds ratio (AOR) showed that being a wage earner and employed HH head was positively (AOR: 8.3, 95% CI: 1.9-36.2) and negatively (AOR: 0.07, CI: 0.02-0.2) associated with HHFI, respectively. During partial lifting of COVID-19 lockdown, slum HHs (AOR: 11.8, 95% CI: 1.5-91.3), female headed HHs (AOR: 11.9, 95%CI: 1.5-92.7), wage earners (AOR: 10.7, 95% CI: 1.4-82.9) and tenants (AOR: 4.0, 95% CI: 1.1- 14.7) were positively associated with HHFI. Conclusion Staple food prices increased during enforcing COVID-19 lockdown compared before lockdown. Food aid distribution during COVID-19 lockdown improved FCS among slum HHs, however, it did not prevent against slum HHFI.

Author(s):  
Archontoula Dalma ◽  
Athanassios Petralias ◽  
Thomas Tsiampalis ◽  
Stavros Nikolakopoulos ◽  
Afroditi Veloudaki ◽  
...  

2016 ◽  
Vol 26 (2) ◽  
pp. 290-296 ◽  
Author(s):  
Athanassios Petralias ◽  
Eleni Papadimitriou ◽  
Elena Riza ◽  
Margaret R. Karagas ◽  
Alexia B.A. Zagouras ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e032376 ◽  
Author(s):  
Martine Jayne Barons ◽  
Willy Aspinall

IntroductionFood insecurity is associated with increased risk for several health conditions and with poor chronic disease management. Key determinants for household food insecurity are income and food costs. Whereas short-term household incomes are likely to remain static, increased food prices would be a significant driver of food insecurity.ObjectivesTo investigate food price drivers for household food security and its health consequences in the UK under scenarios of Deal and No-deal for Britain’s exit from the European Union. To estimate the 5% and 95% quantiles of the projected price distributions.DesignStructured expert judgement elicitation, a well-established method for quantifying uncertainty, using experts. In July 2018, each expert estimated the median, 5% and 95% quantiles of changes in price for 10 food categories under Brexit Deal and No-deal to June 2020 assuming Brexit had taken place on 29 March 2019. These were aggregated based on the accuracy and informativeness of the experts on calibration questions.ParticipantsTen specialists with expertise in food procurement, retail, agriculture, economics, statistics and household food security.ResultsWhen combined in proportions used to calculate Consumer Price Index food basket costs, median food price change for Brexit with a Deal is expected to be +6.1% (90% credible interval −3% to +17%) and with No-deal +22.5% (90% credible interval +1% to +52%).ConclusionsThe number of households experiencing food insecurity and its severity is likely to increase because of expected sizeable increases in median food prices after Brexit. Higher increases are more likely than lower rises and towards the upper limits, these would entail severe impacts. Research showing a low food budget leads to increasingly poor diet suggests that demand for health services in both the short and longer terms is likely to increase due to the effects of food insecurity on the incidence and management of diet-sensitive conditions.


Food Security ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 465-478 ◽  
Author(s):  
M. Savy ◽  
S. Fortin ◽  
Y. Kameli ◽  
S. Renault ◽  
C. Couderc ◽  
...  

F1000Research ◽  
2022 ◽  
Vol 11 ◽  
pp. 39
Author(s):  
Tamiru Yazew

Background Acute and chronic child undernutrition is a continuous problem in Ethiopia. Therefore, this study was initiated to compare the prevalence of underweight and its associated factors among children aged 6-23 months in the Kuyu district, North Shewa zone, Oromia, Ethiopia. Methods An observational community-based study was conducted on 612 children (304 from household security and 308 from household food insecurity). A structured and standardize questionnaire was used in this study. Anthropometric measurements were generated using WHO standardize. Data was analyzed using SPSS version 20.0. Bivariate and multivariate logistic regression analysis was used to identify the independent variables associated with underweight (weight-for-age) among children in household food security and insecurity, a p value less than 0.05 with 95%CI was considered as statistically significant. Results The results indicated that 30.9% [95%CI; 25.7, 36.2] and 36.7% [95% CI; 31.8, 42.5] of children were underweight for their age in household food security and insecurity. Low wealth status (AOR=3.2; 95%CI: 1.099, 9.275), poor dietary diets (AOR=5.2; 95%CI: 2.046, 13.27), and lack of breastfeeding for two years (AOR= 2.1; 95%CI= 1.78, 5, 42) were associated with underweight children in household food security. Whereas lack of antenatal care visits (AOR=0.52; 95%CI: 0.12, 0.68) and poor dietary diets (AOR=3.01; 95%CI= 2.1, 17.4) were other independent variables associated with underweight children in household food insecurity. Conclusions This study established that there was a high prevalence of underweight in children from Oromia.  Therefore, introducing household income generating activities are vital interventions in order to overcome the problem of undernutrition in this region.


2021 ◽  
Vol 3 (3) ◽  
pp. 130-136
Author(s):  
Mahwish Munawar ◽  
Xu Shiwei ◽  
Yu Wen ◽  
Muhammad Luqman

Globally rural households with less landholding, especially from developing countries, are more food insecure due to a lack of resources accessibility and fewer marketplaces. This study was planned to inspect the relationship between household food security and market approachability concerning Household Food Insecurity Access Index (HFIAS). For data collection, 200 farming households from five districts (Faisalabad, Sheikhupura, Rawalpindi, Rahim Yar Khan and Mianwali) from five agro-ecological zones of Punjab were selected as respondents. So, the results can be comprehensive and widespread at the provincial level.  Interviews with household heads were conducted with the help of a well-structured and pre-tested interview questionnaire. Food security was calculated with the help of the household food insecurity access score, which calculates food intake for one month and indicates the level of food security based on food consumption during the last thirty days. According to research findings of 46 percent are severely food insecure, and the main reason behind so much food insecurity is rising food prices, increasing fuel prices, transportation costs, lack of agricultural input, and very few marketplaces. Binary logistic regression shows that landholding, earning hands in family, and the distance of farm from the market have a significant effect on the food security status of the family. As the distance of farm from market place increases labour costs, transportation costs, and fuel charges that affect household livelihood inversely. The results suggest that local food security can be enhanced by creating off-farm employment opportunities, improved transportation facilities, and road infrastructure.


2021 ◽  
pp. 1-24
Author(s):  
Renuka Jayatissa ◽  
Himali Herath ◽  
Amila Gayan Perera ◽  
Thulasika Thejani Dayaratne ◽  
Nawmali Dhanuska De Alwis ◽  
...  

Abstract Objectives: To determine changes and factors associated with child malnutrition, obesity in women and household food insecurity before and after the first wave of COVID-19 pandemic. Design: A prospective follow up study. Setting: In 2019, the baseline Urban Health and Nutrition Study (UHNS-2019) was conducted in 603 households, which were selected randomly from 30 clusters to represent underserved urban settlements in Colombo. In the present study, 35% of households from the UHNS-2019 cohort were randomly selected for repeat interviews, one year after the baseline study and 6 months after COVID-19 pandemic in Sri Lanka. Height/length and weight of children and women were re-measured, household food insecurity was reassessed, and associated factors were gathered through interviewer administered questionnaires. Differences in measurements at baseline and follow-up studies were compared. Participants: A total of 207 households, comprising 127 women and 109 children were included. Results: The current prevalence of children with wasting and overweight was higher in the follow-up study than at baseline UHNS-2019 (18.3%vs13.7%;p=0.26 and 8.3%vs3.7%;p=0.12 respectively). There was a decrease in prevalence of child stunting (14.7%vs11.9%;p=0.37). A change was not observed in overall obesity in women, which was around 30.7%. Repeated lockdown was associated with a significant reduction in food security from 57% in UHNS-2019 to 30% in the current study (p<0.001). Conclusions: There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19.


2021 ◽  
pp. 100885
Author(s):  
Sanjeev Kumar ◽  
Nicholas A. Christakis ◽  
Rafael Pérez-Escamilla

Author(s):  
Nicola Luigi Bragazzi ◽  
Dan Beamish ◽  
Jude Dzevela Kong ◽  
Jianhong Wu

Background and Aims: Illicit drug use is an ongoing health and social issue in Canada. This study aimed to investigate the prevalence of illicit drug use and its implications for suicidal behaviors, and household food insecurity in Canada. Design: Cross-sectional population survey. Setting: Canada, using the 2015–2016 Canadian Community Health Survey, a nationally representative sample selected by stratified multi-stage probability sampling. Participants: A total of 106,850 respondents aged ≥ 12 years who had completed information on illicit drug use. Measurements: Illicit drug use was assessed through a series of questions about illicit drug use methods. Respondents who reported lifetime illicit drug use but no past-year use were considered to have prior illicit drug use. In this survey, illicit drug use included cannabis use. Findings: Overall, the prevalence of lifetime, past-year, and prior illicit drug use was 33.2% (9.8 million), 10.4% (3.1 million), and 22.7% (6.7 million), respectively. In models adjusting for sociodemographic covariates, prior illicit drug use was significantly associated with increased odds of past-year suicidal ideation (adjusted odds ratio [AOR] 1.21, 95% CI 1.04–1.40), and plans (1.48, 1.15–1.91), and past-year household food insecurity (1.27, 1.14–1.41), and the odds were much higher among prior injecting drug users than prior non-injecting drug users. No significant correlation was found between prior illicit drug use and past-year suicidal attempts, but there was a strong association between past-year illicit drug use and past-year suicidal attempts. Conclusions: Our findings suggest that even after people have stopped taking illicit drugs, prior illicit drug use, especially for prior injecting drug use, continues to be associated with increased risks of subsequent suicidal ideation, and plans, and household food insecurity.


Sign in / Sign up

Export Citation Format

Share Document