An Analysis of Household Foods Demand in Rural Burundi

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Arnaud Niyomwungere ◽  
◽  
Yu Wen ◽  
Keyword(s):  
Food Group ◽  
Food Demand ◽  
Food Groups ◽  
Animal Products ◽  
Socioeconomic Variables ◽  
Head Of Household ◽  
Expenditure Elasticity ◽  
Demand Patterns ◽  
Land Size ◽  
The Impact

This study was aimed to investigate the roles of income and other socioeconomic variables such as household size, land size, head of household education level, raising the animals, source of income on food demand in rural Burundi. The demands for food and nutrients among the households in rural Burundi were examined using a recent survey done by the authors. An almost ideal demand system (AIDS) was employed to estimate the price and expenditure elasticities and the impact of socioeconomic variables on food demand patterns. An econometric model was then used to analyze the determinants of food demand. The estimated expenditure elasticities for the food groups range from 0.64 for oils to 1.36 for meats. These outcomes showed that there is a higher expenditure elasticities for meats, fish, and animal products, as well as cereals and grains. The results showed that the income and other socioeconomic variables exerted significant effects on food demand. The income and other socioeconomic variables exerted a significant impact on the food demand, and higher expenditure elasticity for food group items will increase remarkably with rising income.

scholarly journals Effects of Indigenous Diet Iron Content and Location on Hemoglobin Levels of Ghanaians

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2710 ◽  
Author(s):  
April Callister ◽  
Joanna Gautney ◽  
Christina Aguilar ◽  
Julian Chan ◽  
David Aguilar
Keyword(s):  
Food Group ◽  
Food Type ◽  
Plant Proteins ◽  
Food Groups ◽  
Sex Distribution ◽  
Dietary Interventions ◽  
Food Frequency ◽  
Blood Samples ◽  
Ease Of Access ◽  
The Impact

Multiple studies have demonstrated strong links between diet and anemia, but few have explored the impact of food groups on hemoglobin (Hb). We analyzed the correlation between Ghanaian diet and Hb levels to explore reduction of anemia prevalence through dietary interventions. Demographics, food frequency questionnaires (FFQ), and blood samples were obtained from 140 volunteers (ages 18–65) in five locations across Ghana. Hb was measured; estimated iron consumption was calculated. FFQ items were grouped by food type, and a regression analysis was performed to determine the most important dietary predictors of Hb. Moreover, 47% of total participants were anemic; 64% of females and 28% of males. Hb levels were highest in Mole (13.9 g/dL, SD = ±1.9), independent of sex distribution. The regression model revealed a 62.7% adjusted correlation between food groups and Hb levels. Animal foods (β = 0.016, t = 5.08, p < 0.01) and plant protein (β = 0.013, t = 2.86, p < 0.01) were the most influential groups to Hb levels. It is of vital importance to emphasize the benefits of consuming animal foods and plant proteins within the Ghanaian population. The ease of access to plant proteins makes it likely that this food group will be most influential and have the greatest impact in reduction of anemia in the Ghanaian population.

scholarly journals The pattern of poor household food consumption: The case of West Java Province

2021 ◽  
Vol 21 (2) ◽  
pp. 7-27
Author(s):  
Bayu Kharisma ◽  
Alfiah Hasanah ◽  
Sutyastie Soemitro Remi ◽  
In in Indah Zakia
Keyword(s):  
Food Consumption ◽  
Price Elasticity ◽  
Food Group ◽  
Food Groups ◽  
West Java ◽  
Commodity Group ◽  
Head Of Household ◽  
Household Location ◽  
Poor Households ◽  
Household Food Consumption

The result of a LA-AIDS showed that the food consumption of poor households in West Java is influenced by its own-price, the price of other commodities, income, number of household members, household location, education of the head of household, and work type of the head of the household. The own-price elasticity identified that the price increase in each commodity group does not affect the consumption of the general food group. The cross-price elasticity of food groups showed more complementary.

Temporal trends in food group availability and cancer incidence in Africa: an ecological analysis

2019 ◽  
Vol 22 (14) ◽  
pp. 2569-2580 ◽  
Author(s):  
Elom K Aglago ◽  
Freddie Bray ◽  
Francis Zotor ◽  
Nadia Slimani ◽  
Veronique Chajès ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Food Availability ◽  
Cancer Incidence ◽  
Temporal Trends ◽  
Food Group ◽  
Incidence Rates ◽  
Alcoholic Beverages ◽  
Food Groups ◽  
The Impact ◽  
The Relationship

AbstractObjective:We evaluated the relationship between food availability, as the only dietary exposure data available across Africa, and age-standardised cancer incidence rates (ASR) in eighteen countries.Design:Ecological study.Setting:Availability of food groups and dietary energy was considered for five hypothetical time points: years of collection of ASR (T 0) and 5, 10, 15 and 20 preceding years (T –5, T –10, T –15, T –20). Ecological correlations adjusted for human development index, smoking and obesity rates were calculated to evaluate the relationship between food availability and ASR of breast, prostate, colorectal, oesophageal, pancreatic, stomach and thyroid cancer.Results:Red meat was positively correlated with pancreatic cancer in men (T –20: r –20 = 0·61, P &lt; 0·05), stomach cancer in women (T 0: r 0 = 0·58, P &lt; 0·05), and colorectal cancer in men (T 0: r 0 = 0·53, P &lt; 0·05) and women (T –20: r –20 = 0·58, P &lt; 0·05). Animal products including meat, animal fats and higher animal-sourced energy supply tended to be positively correlated with breast, colorectal, pancreatic, stomach and thyroid cancer. Alcoholic beverages were positively correlated to oesophageal cancer in men (r 0 = 0·69, P &lt; 0·001) and women (r –20 = 0·72, P &lt; 0·001).Conclusions:The present analysis provides initial insights into the impact of alcoholic beverages, and increasing use of animal over plant products, on the incidence of specific cancers in Africa. The findings support the need for epidemiological studies to investigate the role of diet in cancer development in Africa.

scholarly journals Having Children in the Household Affects Adult Dietary Consumption: Results of a Cross-Sectional Community Survey

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 129-129
Author(s):  
Masoomeh Hajizadeh Oghaz
Keyword(s):  
Healthcare Access ◽  
Food Group ◽  
Hierarchical Regression ◽  
Median Income ◽  
Food Groups ◽  
Cross Sectional ◽  
Dietary Consumption ◽  
Health Related ◽  
The Impact ◽  
Preschool Aged Children

Abstract Objectives This study examined whether food group consumption varies by demographic, socioeconomic, health-related, and household factors in a mid-sized Midwestern city. Methods This study was reviewed and certified exempt by the Institutional Review Board at a large Midwestern university. University and community partners developed a Community-Campus Health Connections Survey assessing demographic characteristics, health behaviours, and health education and communication preferences, and nutrition consumption. It was administered fall of 2017. We used t-tests, ANOVA, and Pearson correlations to assess the strength of associations between the dependent and independent variables. We then used multiple hierarchical regression analysis to identify predictors of daily dietary consumption of different food groups. Results A total of 172 adult respondents were included in the final sample.  Age, healthcare access, zip code median income, and self-rated health, and age of children in the household predicted dietary consumption. Having preschool-aged children in the household predicted increased consumption of dairy, vegetables, and fruits, while having teenagers in the household predicted decreased consumption of water. Conclusions This study finds that having children in the household influences dietary consumption of adults after controlling for demographic, socioeconomic, and health-related variables. An unanticipated finding is that this study may demonstrate the impact of food assistance programs on healthy food consumption of caregivers with preschool-aged children. Funding Sources Department-level institutional funding.

scholarly journals Non-nutritive sweeteners in the food supply: changes after the first phase of the Chilean Food Law

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
C Zancheta Ricardo ◽  
C Corvalan ◽  
L Tallie ◽  
V Quitral ◽  
M Reyes
Keyword(s):  
Food Supply ◽  
Sugar Content ◽  
Food Group ◽  
Food Groups ◽  
Chi Square ◽  
Cross Sectional ◽  
Food Law ◽  
The Law ◽  
Advertising Law ◽  
The Impact

Abstract Background In June 2016, Chile implemented the Food Labeling and Advertising Law, which includes mandatory front-of-package warning labels in products with high content of sugars and other key nutrients. We evaluated whether the non-nutritive sweeteners (NNS) use increased among foods/beverages 7-8 months after implementation of the law. Methods We obtained data from packaged foods/beverages available in 6 major supermarkets and 3 candy distributions in Santiago, Chile, in January 2015/16 (T0) and January 2017 (T1). We included products with market share ≥1% of their food groups, with added sugar, salt or fat (i.e. products subject to regulation) and/or with NNS from 7 food groups: beverages, breakfast cereals, candies, sweet spreads, desserts, yogurts, and milk-based drinks, in cross-sectional (T0: N = 1,809; T1: N = 1,478) and longitudinal (i.e. same product collected in both periods; N = 999) samples. We compared the frequencies applying Chi-square and McNemar tests. Results In the cross-sectional analysis, there was no significant change in the frequency of NNS use neither considering the overall sample or each food group. Across all groups, about 40% of products presented at least one NNS in both periods, with the highest prevalence among beverages (T0:77%; T1:80%, p = 0.314) and yogurts (T0:63%; T1:68%, p = 0.312). In the longitudinal sample, the frequency of NNS use increased from 38% in T0 to 44% in T1 (p &lt; 0.001). Changes were observed in milk-based drinks (T0:50%; T1:67%, p = 0.008); beverages (T0:72%; T1:83%, p &lt; 0.001); desserts (T0:14%; T1:23%, p &lt; 0.001); and yogurts (T0:60%; T1:63%, p = 0.046). Conclusions Our results suggest increased NNS use in the longitudinal subsample after the implementation of the law; however, the overall frequency in the food supply remained the same, which could be explained either by changes in the food supply or sampling differences between the periods. Further analyses must explore the impact of these changes in NNS consumption. Key messages Regulations aimed to reduce food sugar content could impact the food NNS content. Monitoring the use of NNS in the food supply and its impact on NNS consumption is important in the current policy scenario.

scholarly journals Food Rating Scale in Food Services: From Development to Assessment of a Strategy for Consumer Healthier Choices

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1303 ◽  
Author(s):  
Larissa Mazocco ◽  
Rita Akutsu ◽  
Raquel Botelho ◽  
Izabel Da Silva ◽  
Raquel Adjafre ◽  
...  
Keyword(s):  
Eating Behavior ◽  
Rating Scale ◽  
Food Service ◽  
Food Group ◽  
Sodium Content ◽  
Portion Size ◽  
Food Groups ◽  
Food Services ◽  
Traffic Light ◽  
The Impact

This study aimed to create an easy tool to identify healthier choices for meal assembly in food services (self-service restaurants) and to allow consumers to compose their plates to make healthier choices. It is an interventional study, and the first step was setting healthy food parameters to design a rating scale. The first evaluation criterion was based on energy density (ED) and sodium content (SC) using “traffic light” color in the dishes’ nameplates; the second criterion was based on food groups; the third criterion was based on ingredients of the meals. After using the classification, we assessed the rating scale in a food service and we evaluated the strategy with its consumers. To evaluate the effect of the nutritional intervention, we developed a multiple-choice-questionnaire with eight questions to measure the impact on consumer food choices quantitatively. The dish nameplate allows identification of healthier choices regarding SC and/or ED by colors; ingredients that compose the dish; the food group and the serving size, helping the identification of the amount of food to compose the meal. Banners helped consumers to understand the information. After four weeks, all the consumers (n = 1000) received questionnaires regarding their comprehension of the classification. The questionnaire presented an ICC of 0.71. Most of the preparations (61%) were inadequate based on ED and/or SC at the studied food service. A total of 556 consumers returned questionnaires, and 86.3% of them observed the rating scale as a nutritional strategy. Almost 55% (n = 261) of consumers reported changes in food choice after reading the dishes nameplates. The items with greater impact on consumer change in eating behavior were the use of colors as an indicator of nutritional quality, portion size information and ingredients list. Almost 25% of the consumers that changed their eating behavior noticed more than three items presented on the nameplate.

scholarly journals Effects of Indigenous Diet Iron Content and Location on Hemoglobin Levels of Ghanaians

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 630-630
Author(s):  
April Callister ◽  
David Aguilar-Alvarez
Keyword(s):  
Professional Growth ◽  
Food Group ◽  
World Health ◽  
Food Type ◽  
P Value ◽  
Plant Proteins ◽  
Food Groups ◽  
Dietary Interventions ◽  
Health Organization ◽  
The Impact

Abstract Objectives Iron deficiency is the most common cause of anemia, the most common micronutrient deficiency worldwide. Multiple studies have demonstrated strong links between diet and anemia, but few have explored the impact of specific food groups on hemoglobin (Hb) levels. We analyzed the correlation between Ghanian diet and Hb to explore reduction of anemia prevalence through dietary interventions that align with current local consumption practices. Methods Demographics, food frequency questionnaires (FFQ), and blood samples were obtained from 140 volunteers (ages 18–65) in five locations across Ghana. Hb was measured and estimated iron consumption was calculated. Anemia prevalence was estimated based on the World Health Organization guidelines. FFQ items were grouped by food type, and a regression equation was formed for Hb based on the estimated amount of calories consumed from each food group. Results 47% of total participants were anemic based on Hb levels; 64% of women and 28% of men. This aligned with previous studies which estimate anemia prevalence in Ghana to be around 40%. The area with the highest average Hb was Mole (13.9 g/dL, SD = ±1.9),  with the lowest mean in Larabanga (11.9 g/dL ± 1.9). Post-hoc analysis revealed that location was significant with a p-value of 0.01. The regression model revealed a 62.7% adjusted correlation between food groups and Hb levels. Animal foods (β = 0.016, t = 5.08, p &lt; 0.01) and plant protein (β = 0.013, t = 2.86, p &lt; 0.01) were the most influential food groups on Hb levels. Conclusions It is of vital importance to emphasize the benefits of consuming animal foods and plant proteins within the Ghanian population. The ease of access to plant proteins, and prevalence within the current diet, makes it likely that this food group will be most influential and have the greatest impact in reduction of anemia in the Ghanaian population if consumption is increased. Funding Sources Weber State University Research, Scholarship, and Professional Growth Committee.

Meat and Dietary Guidelines

2016 ◽  
pp. 124-130
Author(s):  
Rosemary Stanton
Keyword(s):  
Dietary Pattern ◽  
Food Group ◽  
Health Problems ◽  
Red Meat ◽  
Dietary Guidelines ◽  
Food Groups ◽  
Animal Products ◽  
Processed Meats ◽  
High Consumption ◽  
Healthy Dietary Pattern

This chapter aims to describe how meat fits into recommended dietary guidelines. In Australia, meat is included in one of the five food groups. However, this food group should not be described as the ‘meat group' as it includes alternative choices. These include animal products such as seafood, poultry and eggs but also plant-based alternatives such as legumes, tofu, nuts and seeds. Choosing a range of foods from within this group contributes to a healthy dietary pattern with nuts, seeds and legumes providing extra benefits. Increasing plant-based choices also makes it easier for those who consume meat to keep to the weekly limit recommended to reduce the risk of health problems associated with a high consumption of red meat. Processed meats are not included in any of the five food groups and are now seen as ‘discretionary' foods.

scholarly journals Comparison of major protein-source foods and other food groups in meat-eaters and non-meat-eaters in the EPIC-Oxford cohort

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Keren Papier ◽  
Tammy Tong ◽  
Paul Appleby ◽  
Kathryn Bradbury ◽  
Georgina Fensom ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Food Group ◽  
Diet Group ◽  
High Protein ◽  
Protein Source ◽  
Major Protein ◽  
Dietary Intakes ◽  
Food Groups ◽  
Animal Products ◽  
Fried Foods

IntroductionDifferences in health outcomes between meat-eaters and non-meat-eaters might relate to differences in dietary intakes between these diet groups. We assessed intakes of major protein-source foods and other food groups in six groups of meat-eaters and non-meat-eaters participating in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study.Materials and methodsData were from 30, 239 participants who answered four questions regarding their consumption of meat, fish, dairy or eggs and completed a food frequency questionnaire (FFQ) in 2010. Participants were categorized as regular meat-eaters (> 50 grams of total/any meat per day: n = 12,997); low meat-eaters (< 50 grams of total/any meat per day: n = 4,650); poultry-eaters (poultry but no red meat: n = 591); fish-eaters (no meat but consumed fish: n = 4,528); vegetarians (no meat or fish: n = 6,672); and vegans (no animal products: n = 801). FFQ foods were categorised into 45 food groups. Analysis of variance was used to test for differences between age-adjusted mean intakes of each food group by diet group.ResultsWe found that regular meat-eaters, vegetarians and vegans, respectively, consumed about a third, quarter and a fifth of their total energy intake from high protein-source foods. Compared with regular meat-eaters, low and non-meat-eaters consumed higher amounts of high-protein meat alternatives (soy, legumes, pulses, nuts, seeds) and other plant-based foods (whole grains, vegetables, fruits) and lower amounts of refined grains, fried foods, alcohol, and sugar-sweetened beverages.DiscussionOverall, our results suggest that there were large differences in the amounts and types of protein-rich and other foods eaten by regular, low and non-meat-eaters. These findings provide insight into potential nutritional explanations for differences in health outcomes between diet groups.

scholarly journals Estimation and Analysis of Food Demand Patterns in Vietnam

Economies ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Linh Hoang Vu
Keyword(s):  
Food Consumption ◽  
Household Survey ◽  
Consumption Patterns ◽  
Demand System ◽  
Food Demand ◽  
Middle Income ◽  
Information Demand ◽  
Expenditure Elasticity ◽  
Rice Prices ◽  
Demand Patterns

The paper analyzes food consumption patterns of Vietnamese households, using a complete demand system and socio-demographic information. Demand elasticities are estimated applying a modified Almost Ideal Demand System (AIDS) model on the Vietnamese household survey data in 2006. The results indicate that food consumption patterns in Vietnam are affected by income, price, as well as socio-economic and geographic factors. All food has positive expenditure elasticities and negative own-price elasticities. Rice has mean expenditure elasticity of 0.36 and mean own-price elasticity of −0.80. Using the estimated elasticities, the study finds that when rice prices increase by 20 percent, average household welfare rises by 1.3 percent, yet it is important to note that the benefits and costs are not spread evenly across the population. Overall, middle-income households gain the most, while the poorest households gain the least from higher rice prices. This indicates that support programs should target the poorest quintile, especially the poor in the regions hit hardest by higher prices. More generally, our study points out that targeted food policies should be formulated based on specific food demand patterns in the groups.

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