Household Food Insecurity is Associated with Heterogeneous Patterns of Diet Quality Across Urban and Rural Regions of Malawi

2015 ◽  
Vol 7 (3) ◽  
pp. 234-254 ◽  
Author(s):  
Andrew D. Jones
Keyword(s):  
Food Insecurity ◽  
Diet Quality ◽  
Household Food Insecurity ◽  
Rural Regions ◽  
Household Food

scholarly journals Household Food Insecurity, Diet Quality, and Obesity: An Explanatory Model

Obesity ◽  
2020 ◽  
Vol 29 (1) ◽  
pp. 143-149
Author(s):  
Gregory S. Keenan ◽  
Paul Christiansen ◽  
Charlotte A. Hardman
Keyword(s):  
Food Insecurity ◽  
Diet Quality ◽  
Explanatory Model ◽  
Household Food Insecurity ◽  
Household Food

scholarly journals What can Secondary Data Tell Us about Household Food Insecurity in a High-Income Country Context?

2018 ◽  
Vol 16 (1) ◽  
pp. 82 ◽  
Author(s):  
Ourega-Zoé Ejebu ◽  
Stephen Whybrow ◽  
Lynda Mckenzie ◽  
Elizabeth Dowler ◽  
Ada Garcia ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Diet Quality ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Household Food Insecurity ◽  
Average Income ◽  
Household Food ◽  
Scottish Health Survey ◽  
Comprehensive Picture ◽  
The Mean

In the absence of routinely collected household food insecurity data, this study investigated what could be determined about the nature and prevalence of household food insecurity in Scotland from secondary data. Secondary analysis of the Living Costs and Food Survey (2007–2012) was conducted to calculate weekly food expenditure and its ratio to equivalised income for households below average income (HBAI) and above average income (non-HBAI). Diet Quality Index (DQI) scores were calculated for this survey and the Scottish Health Survey (SHeS, 2008 and 2012). Secondary data provided a partial picture of food insecurity prevalence in Scotland, and a limited picture of differences in diet quality. In 2012, HBAI spent significantly less in absolute terms per week on food and non-alcoholic drinks (£53.85) compared to non-HBAI (£86.73), but proportionately more of their income (29% and 15% respectively). Poorer households were less likely to achieve recommended fruit and vegetable intakes than were more affluent households. The mean DQI score (SHeS data) of HBAI fell between 2008 and 2012, and was significantly lower than the mean score for non-HBAI in 2012. Secondary data are insufficient to generate the robust and comprehensive picture needed to monitor the incidence and prevalence of food insecurity in Scotland.

Household food insecurity and nutritional status of schoolchildren in rural regions of Bajo Lampa, El Salvador (2018–2019)

2021 ◽  
pp. 1-16
Author(s):  
Roberto Pedrero-Tomé ◽  
Noemí López-Ejeda ◽  
María Sánchez Alvarez ◽  
Cristina Herrero-Jaúregui ◽  
Belén Acosta Gallo ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Food Insecurity ◽  
El Salvador ◽  
Household Food Insecurity ◽  
Rural Regions ◽  
Household Food

Household Food Insecurity Is Not Associated with Overall Diet Quality Among Pregnant Women in NHANES 1999–2008

2016 ◽  
Vol 20 (11) ◽  
pp. 2348-2356 ◽  
Author(s):  
Ryan Gamba ◽  
Cindy W. Leung ◽  
Sylvia Guendelman ◽  
Maureen Lahiff ◽  
Barbara A. Laraia
Keyword(s):  
Food Insecurity ◽  
Pregnant Women ◽  
Diet Quality ◽  
Household Food Insecurity ◽  
Household Food

scholarly journals Changes in household food insecurity are related to changes in BMI and diet quality among Michigan Head Start preschoolers in a sex-specific manner

2017 ◽  
Vol 181 ◽  
pp. 168-176 ◽  
Author(s):  
Erica C. Jansen ◽  
Nicole Kasper ◽  
Julie C. Lumeng ◽  
Holly E. Brophy Herb ◽  
Mildred A. Horodynski ◽  
...  
Keyword(s):  
Head Start ◽  
Food Insecurity ◽  
Diet Quality ◽  
Household Food Insecurity ◽  
Household Food ◽  
Specific Manner

scholarly journals The relationship between diet quality and the severity of household food insecurity in Canada

2021 ◽  
pp. 1-39
Author(s):  
Joy Hutchinson ◽  
Valerie Tarasuk
Keyword(s):  
Food Insecurity ◽  
Diet Quality ◽  
Vegetable Intake ◽  
Fruit And Vegetable Intake ◽  
Household Food Insecurity ◽  
Processed Foods ◽  
Older Children ◽  
Household Food ◽  
Adults And Children ◽  
The Relationship

Abstract Objective: To examine the relationship between the dietary quality of Canadian children and adults and household food insecurity status. Design: Dietary intake was assessed with one 24-h recall. Households were classified as food secure or marginally, moderately or severely food insecure based on their responses to the Household Food Security Survey Module. We applied multivariable analyses of variance to determine whether % energy from ultra-processed foods, fruit and vegetable intake, Healthy Eating Index (HEI) scores, macronutrient composition, and micronutrient intakes per 1000 kcal differed by food insecurity status after accounting for income, education and region. Analyses were run separately for children 1-8 years and 9-18 years and men and women 19-64 years of age. Setting: 10 provinces in Canada Participants: Respondents to the 2015 Canadian Community Health Survey-Nutrition, aged 1-64 years, with complete food insecurity data and non-zero energy intakes. N=15909 Results: Among adults and children, % energy from ultra-processed foods was strongly related to severity of food insecurity, but no significant trend was observed for fruit and vegetable intake or HEI score. Carbohydrate, total sugar, fat, and saturated fat intake/1000 kcal did not differ by food insecurity status, but there was a significant negative trend in protein/1000 kcal among older children, a positive trend in sodium/1000 kcal among younger children, and inverse associations between food insecurity severity and several micronutrients/1000 kcal among adults and older children. Conclusions: With more severe household food insecurity, ultra-processed food consumption was higher and diet quality was generally lower among both adults and children.

scholarly journals Impact of COVID-19 on child malnutrition, obesity in women and household food insecurity in underserved urban settlements in Sri Lanka: a prospective follow up study

2021 ◽  
pp. 1-24
Author(s):  
Renuka Jayatissa ◽  
Himali Herath ◽  
Amila Gayan Perera ◽  
Thulasika Thejani Dayaratne ◽  
Nawmali Dhanuska De Alwis ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Food Insecurity ◽  
Child Malnutrition ◽  
Nutrition Status ◽  
Household Food Insecurity ◽  
Follow Up Study ◽  
Household Food ◽  
Before And After ◽  
Urban Settlements

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.

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