scholarly journals Food Insecurity and Affecting Factors in Households with Children During the Covid-19 Pandemic: A Cross-Sectional Study

2021 ◽  
pp. 1-20
Author(s):  
Gizem Deniz Bulucu Büyüksoy ◽  
Aslıhan Çatıker ◽  
Kamuran Özdil
Keyword(s):  
Food Insecurity ◽  
Poverty Line ◽  
Cross Sectional Study ◽  
Affecting Factors ◽  
Snowball Sampling ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional ◽  
Households With Children ◽  
Smart Mobile

Abstract Objective: To examine the incidence of food insecurity and affecting factors in households with children in Turkey during the COVID-19 pandemic. Design: This is a cross-sectional study. Setting: The participants were recruited by the snowball sampling method and the data were collected via a link sent to their smart mobile phones through their social media accounts. Participants: This study included 211 households with at least one child. Results: The study revealed that 21.8% households had food insecurity that was not at the hunger threshold. The monthly income of 80.6% of the households was below the poverty line and monthly income decreased in more than half of the households during the pandemic. Food insecurity increased 2.5 times when the households comprised workers or self-employed individuals (OR=2.529, p=0.002), increased 3 times when the monthly income of the households decreased (OR=3.131, p=0.000), and increased 2 times when total monthly income of the household fell below poverty line during the pandemic (OR=2.001, p=0.049). Conclusion: It is determined that nearly half the households have food insecurity and that the pandemic poses a risk in terms of food security. We recommend that public health studies should be planned to ensure accessibility to healthy foods.

scholarly journals Vulnerability for food insecurity: Experiences of indigenous families in the Huasteca Potosina region, Mexico

2022 ◽  
Author(s):  
Andrea Daniela González-Martell ◽  
Edison Enrique Sánchez-Quintanilla ◽  
Nadia García-Aguilar ◽  
Tiaré Hernández-Contreras ◽  
V. Gabriela Cilia-López
Keyword(s):  
Food Insecurity ◽  
Food Preference ◽  
Population Group ◽  
Indigenous Communities ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Food ◽  
Households With Children ◽  
Food Insecurity Access

Indigenous communities in Mexico are vulnerable to food insecurity (FI) due to a series of factors that prevent them from having access to sufficient and nutritious food. Therefore, this population group has the highest chronic malnutrition in the country. Objective: This study describes the FI conditions of an indigenous community in the Potosina Huastec. Methodology: FI was measured with the Household Food Insecurity Access Component Scale (HFIAS). Results: There is food insecurity ranging from concern about food lack, food reduction, and hunger. The 95.57% of households with children under 18 years were in some state of food insecurity, with severe food insecurity dominating. Limitations: Was a cross-sectional study carried out in a community of the Potosina Huastec. However, it is the municipality with the highest degree of marginalization in the area, but the community chosen is the largest in the municipality. Nonetheless, the results can be considered representative of the area. Conclusions: The food security community depends on climatic, socioeconomic, demographic, geographic, cultural factors, food preference conditions, among others. In addressing food insecurity, it is necessary to consider all factors to have a real diagnosis of food insecurity conditions in rural and indigenous communities.

scholarly journals Regression Tree Modelling to Predict Total Average Extra Costs in Household Spending During COVID-19 Pandemic

2021 ◽  
Author(s):  
Nesma Lotfy
Keyword(s):  
Regression Tree ◽  
Cross Sectional Study ◽  
Snowball Sampling ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional ◽  
Hand Sanitizer ◽  
Household Spending ◽  
Before And After ◽  
Total Average

AbstractBackgroundPrevention of coronavirus (COVID-19) regarding households has many aspects, such as buying masks, hand sanitizer, face shield, and many others. As a result of buying the previous items, the household spending per month will be increase during the COVID-19 pandemic period.AimsTo calculate the average costs of each extra item involved in households spending during COVID-19 pandemic and to predict the total average extra costs spending by households.MethodsA cross-sectional study was conducted at High Institute of Public Health (HIPH), University Alexandria. Exponential snowball sampling was used to recruit students at HIPH and their friends. Trimming costs was done to remove extreme low and high values. A regression tree modelling was implemented to predict the total extra costs spending during COVID-19 pandemic.ResultsMost of the respondents were female (81%) and aged between 30 and 40 (56.3%). About 63.1% of families had the same monthly income while 35.4% had a decrease in monthly income. A significant reduction in days of leaving home before and after COVID-19 pandemic was observed (before; mean= 5.86, after; mean = 4.66, P=0.000). The extra spending in grocery was the dominated item compared to other items (mean = 707.2, SD = 530.7). Regarding regression tree, the maximum average extra costs due to COVID-19 pandemic was 1386 L.E/month (around 88.23$/month) while the minimum average extra costs was 217 L.E/month (around 13.81$/month).ConclusionsThe effect of COVID-19 pandemic in households spending varies largely between households, it depends on what they do to prevent COVID-19.*Hint: Convert form L.E to dollar performed according to price of dollar at 18-12-2020

scholarly journals Prevalence, socio-economic predictors and health correlates of food insecurity among Italian children- findings from a cross-sectional study

Food Security ◽  
2020 ◽  
Author(s):  
Drieda Zaҫe ◽  
Maria Luisa Di Pietro ◽  
Laura Reali ◽  
Chiara de Waure ◽  
Walter Ricciardi
Keyword(s):  
Food Insecurity ◽  
Developed Countries ◽  
Cross Sectional Study ◽  
Household Food Security ◽  
Sectional Study ◽  
Cross Sectional ◽  
South Italy ◽  
National Monitoring ◽  
Households With Children ◽  
Italian Children

AbstractConsidering food insecurity is a problem, even in developed countries, and the evidence gap regarding this issue in Italy, we aimed to assess the prevalence of food insecurity in a sample of Italian children and examine socio-economic and health correlates. This cross-sectional study was conducted in paediatric practices. Parents answered to the 18-items of the Household Food Security Module, 8 of which concern children. Paediatricians answered a questionnaire on children’s health. Socio-economic and health correlates of food insecurity in children were assessed using univariable and multivariable logistic regression. Among 573 households with children, 15·4% were food insecure, while 9·1% of children were food insecure. Socio-economic factors associated to food insecurity were living in south Italy, households with three or more children, lower household yearly income, worse economic situation description and younger parents. Food insecure children were less likely to have a normal relational [ aOR 0.31 (CI 0.11-0.85)] and physical development [aOR 0.32(CI 0.15-0.65) and had more school difficulties [aOR 3.1(CI 1.33-7.24)] compared to their food secure peers. Food insecure children had higher odds of a deterioration in their health since birth and of a worse perceived health status, as reported by their parents. Considering the results in this sample and the lack of research regarding this issues in Italy and Europe more broadly, we call for consistent, national monitoring to determine the magnitude of the problem of food insecurity in households with children in Italy and to examine the socio-economic variables and health implications in different contexts.

scholarly journals Food insecurity and food consumption by season in households with children in an Arctic city: a cross-sectional study

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Catherine Huet ◽  
◽  
James D. Ford ◽  
Victoria L. Edge ◽  
Jamal Shirley ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Food Consumption ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Households With Children

scholarly journals Food Insecurity in Households with Children Amid the COVID-19 Pandemic: Evidence from the Household Pulse Survey

2021 ◽  
pp. 232949652110115
Author(s):  
Danielle Xiaodan Morales ◽  
Stephanie Alexandra Morales ◽  
Tyler Fox Beltran
Keyword(s):  
Food Insecurity ◽  
Empirical Studies ◽  
District Of Columbia ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Food ◽  
Nationally Representative ◽  
Households With Children

As the coronavirus pandemic stretched on, millions of U.S. children and their families faced food insecurity. However, limited empirical studies have systemically investigated food insecurity and food insecurity transitions among households with children in the context of the COVID-19 pandemic. This cross-sectional study was based on a nationally representative sample of households with children (including all 50 states and the District of Columbia, n = 20,543 households) collected by the 2020 Household Pulse Survey. Two generalized estimating equations models were developed, and the results indicated that most sociodemographic factors contributing to severe household food insecurity during the pandemic were similar to those before the pandemic. However, having children enrolled in schools did not protect families from food insecurity during COVID-19. Furthermore, among previously food-secure households, those that were relatively disadvantaged transitioned into food insecurity during COVID-19. As the pandemic persists, more coordinated efforts to ensure all households with children receive adequate nutrition are desperately needed.

scholarly journals The Associated Factors of Prolonged Screen Time and Using Electronic Devices before Sleep among Elderly People in Shaanxi Province of China: A Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 7020
Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu
Keyword(s):  
Sleep Quality ◽  
Screen Time ◽  
Odds Ratio ◽  
Associated Factors ◽  
Electronic Devices ◽  
Cross Sectional Study ◽  
Shaanxi Province ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.

scholarly journals Undernutrition and Associated Factors among Lactating Women: Community-Based Cross-Sectional Study in Moyale District, Borena Zone, Southern Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Hailu Bekele ◽  
Gebi Husein Jima ◽  
Ashenafi Habtamu Regesu
Keyword(s):  
Dietary Diversity ◽  
Cross Sectional Study ◽  
Southern Ethiopia ◽  
Sectional Study ◽  
Monthly Income ◽  
Community Based ◽  
Cross Sectional ◽  
Lactating Women ◽  
Household Food ◽  
Delivery Place

Background. Undernutrition is one of the most widespread public health problems that affect both developed and developing countries. In Ethiopia, it is one of the factors leading to unacceptable high morbidity and mortality among women. However, little is documented on undernutrition among lactating women particularly in such a purely pastoral community. Therefore, this study was designed to assess prevalence of undernutrition and its associated factors among lactating women living in pastoral community of Moyale District, Borena Zone, Southern Ethiopia, 2018. Methods. A community-based cross-sectional study was conducted. Data were collected from a random sampled 545 lactating women using structured interviewer-administered questionnaire. Height and weight measurements of the study participants were also taken to compute body mass index. Data were entered in to Epi info version 7 and then exported to SPSS version 21 software for analysis. Descriptive statistics like frequency, mean, and percentage were computed to describe characteristics of the sample. Multivariable analysis was carried out, association between independent and dependent variables were measured using adjusted odds ratios, and its 95% confidence interval and P value below 0.05 were considered statistically significant. Results. This study showed that prevalence of undernutrition among lactating women was 17.7%. Dietary diversity (AOR = 2.49, 95% CI: 1.43–4.36), monthly income (AOR = 5.22, 95% CI: 1.40–19.40), extra meal taking (AOR = 2.76, 95% CI: 1.43–5.29, delivery place (AOR = 2.65, 95% CI: 1.24–5.65), and household food insecurity (AOR = 6.57, 95% CI: 3.50–12.34) were independent variables showing statistically significant association with undernutrition of lactating women. Conclusion and recommendations. The study revealed that magnitude of undernutrition among lactating women was high. Dietary diversity, monthly income, extra meal, delivery place, and household food insecurity were found to be predictor of undernutrition. Finally, we recommend that governmental and nongovernmental organizations should organize timely interventions targeting lactating women.

scholarly journals Food insecurity among the elderly: cross-sectional study with soup kitchen users

2013 ◽  
Vol 26 (6) ◽  
pp. 679-691 ◽  
Author(s):  
Bruna Fernanda do Nascimento Jacinto de Souza ◽  
Letícia Marín-León
Keyword(s):  
Food Insecurity ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Welfare Programs ◽  
Cross Sectional ◽  
Socioeconomic Condition ◽  
Soup Kitchen

OBJECTIVE: To investigate whether food insecurity is associated with the demographic, socioeconomic, lifestyle, and health conditions of the elderly. METHODS: This cross-sectional study included 427 elderly (³60 years) from Campinas, São Paulo; half were users of a government-run soup kitchen and the others, their neighbors of the same sex. Food insecurity was measured by the Brazilian Food Insecurity Scale. Univariate multinomial logistic regression was used for calculating the odds ratio and 95% confidence interval to measure the association between the independent variables and food insecurity. Variables with p<0.20 were included in a multinomial model, and only those with p<0.05 remained. RESULTS: Most respondents (63.2%) were males; 15.2% and 6.6% were experiencing mild and moderate/severe food insecurity, respectively. The final model, adjusted for sex and age, showed that elderly with a total family income ≤2 minimum salaries (OR=3.41, 95%CI=1.27-9.14), who did not have a job (OR=2.95, 95%CI=1.23-7.06), and who were obese (OR=2.01, 95%CI=1.04-3.87) were more likely to be mildly food insecure. Elderly with cancer (OR=4.13, 95%CI=1.21-14.0) and those hospitalized in the past year (OR=3.16, 95%CI=1.23-8.11) were more likely to be moderately/severely food insecure. Finally, elderly living in unfinished houses (OR=2.71; and OR=2.92) and who did not consume fruits (OR=2.95 and OR=4.11) or meats daily (OR=2.04 and OR=3.83) were more likely to be mildly and moderately/severely food insecure. CONCLUSION: Food insecure elderly are more likely to have chronic diseases, poor nutritional status, and poor socioeconomic condition. Therefore, the welfare programs should expand the number of soup kitchens and develop other strategies to assure adequate nutrition to these elderly.

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