An ecological analysis of factors associated with food insecurity in South Australia, 2002–7

Foley, Wendy; Ward, Paul; Carter, Patricia; Coveney, John; Tsourtos, George; Taylor, Anne

doi:10.1017/s1368980009990747

Cited by 74 publications

(95 citation statements)

References 29 publications

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“…In the ecological study conducted by Foley et al 23 in South Australia with 19,037 individuals, a significant association was also found between low education level and food insecurity (p<0.01). A study in Canada also found that workers with low education level were significantly more likely to be food insecure 18 .…”

Section: Discussionmentioning

confidence: 82%

Association of socioeconomic, labor and health variables related to Food Insecurity in workers of the Popular Restaurants in the city of Rio de Janeiro

2015

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Objective: This study aimed to analyze the prevalence of perceived food insecurity in households of employees of Popular Restaurants, as well as associate this perception with socioeconomic, labor and health variables. Methods: This is a cross-sectional study of 273 workers from seven restaurants located in the city of Rio de Janeiro, Brazil. We applied a questionnaire with different scales and anthropometric measurements were taken. Assessment of food insecurity was performed using the Brazilian Food Insecurity Scale, classifying individuals in food security and food insecurity. The analyses were performed by calculating the gross and adjusted odds ratio. The logistic regression was performed considering three groups of variables: socio-economic, employment and health. Results: The estimated prevalence of food insecurity was 53.7%. The variables: education (OR=2.39; 95%CI=1.38-4.16), time working in kitchens <29 months (OR=2.72; 95%CI=1.44-5.16) and opinion on the satisfaction with food composition and regularity (OR=2.01; 95%CI=1.12-3.57) were significantly associated with food insecurity. Conclusion: Although the study population find themselves inserted into a social facility to promote food security, food insecurity results are worrying. Additionally, factors like lower education and less time working in restaurants increased the chance to realize their households in food insecurity.

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Section: Discussionmentioning

confidence: 82%

Association of socioeconomic, labor and health variables related to Food Insecurity in workers of the Popular Restaurants in the city of Rio de Janeiro

2015

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“…In terms of characteristics of the target populations studied, seven of the eighteen studies examined adults of varying ages (37)(38)(39)(43)(44)(45)(46) , seven explicitly examined families with children (sometimes with data collected using the child as the sampling unit) (40,42,(47)(48)(49)(50)(51) , three focused on seniors (41,52,53) , and one sampled a range of ages (children and adults) (54) . Seven out of the eighteen studies (39 %) focused exclusively on low-income or ethnic subgroups (39,44,46,(48)(49)(50)(51) .…”

Section: Literature Search and General Overviewmentioning

confidence: 99%

“…Five studies used the six-item short form of the USDA Food Security Scale (37)(38)(39)42,47) , three studies used items from the Community Childhood Hunger Identification Project in the National Health and Nutrition Examination (NHANES) III surveys (46,50,53) , and one study was based on items administered in the Behavioral Risk Factor Surveillance System (41) . The three Australian studies (45,52,54) and Dean and Sharkey (2011) (43) adapted and used items from the Radimer/Cornell measure, while Sharkey et al (2011) used an adapted version of the complete Radimer/Cornell measure (49) . Eight studies investigated different types or degrees of severity of food insecurity, by using either more than one questionnaire item or different thresholds for the USDA eighteen-item Food Security Scale or the Radimer/Cornell Scale (41,(43)(44)(45)(48)(49)(50)(51) .…”

Section: Literature Search and General Overviewmentioning

confidence: 99%

“…One study uncovered a positive association between an index of area deprivation and food insecurity (42) , while one study that used a similar index (54) and another that focused on poverty level (47) did not find any significant associations. Bernell et al (2006) also examined percentage of the county unemployed and average wage, with null results (38) .…”

Section: Socio-economic Environmentmentioning

confidence: 99%

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Place and food insecurity: a critical review and synthesis of the literature

Carter

Dubois

Tremblay

2013

Public Health Nutr.

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Objective: In some high-income countries, a sizeable proportion of households are estimated to be food insecure. It is well known that food insecurity varies between countries and is strongly tied to household income level. The local environment may be another level of influence, which has been relatively understudied. The present review sought to synthesize and critically appraise the existing literature examining local environmental characteristics in relation to individual/household-level food insecurity in the general population. Design: A systematic search strategy was used to search MEDLINE, MEDLINE In-process and Other Non-indexed, EMBASE, PsychINFO, Social Services Abstracts and Sociological Abstracts databases for studies examining local place characteristic(s) in relation to self-reported food insecurity. Setting: Studies could be experimental or observational, but had to be published in a peer-reviewed journal in French or English, and involve individuals from developed countries. 'Place' was defined locally, as ranging from the street to the county level. Subjects: The target population for the review included non-institutionalized individuals in the general population. Results: After obtaining full-text articles, eighteen primary studies met the eligibility criteria. Most studies were conducted in the USA and all but one was crosssectional. Seven of the eleven studies that examined location of residence found that rural living was inversely associated with food insecurity. Mixed results were seen for other place measures such as social capital and distance to food stores. Conclusions: Studies were heterogeneous and had various limitations that preclude definitive conclusions from being drawn. Recommendations for future research are provided.

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“…Data from developed nations show that low income is clearly one of the most important determinants of FI (9)(10)(11)(12) , although many food-insecure households are not in poverty (9) . Other demographic and socio-economic factors are associated with an increased risk of FI: single-parent families, the presence of young children and housing conditions (e.g.…”

mentioning

confidence: 99%

Socio-economic characteristics, living conditions and diet quality are associated with food insecurity in France

Bocquier

Vieux

Lioret

et al. 2015

Public Health Nutr.

108

105

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Objective: To assess the prevalence of household food insecurity (FI) in France and to describe its associations with socio-economic factors, health behaviours, diet quality and cost (estimated using mean food prices). Design: Cross-sectional nationally representative survey. FI was assessed using an adapted version of the US Department of Agriculture's Food Insufficiency Indicator; dietary intake was assessed using a 7 d open-ended food record; and individual demographic, socio-economic and behavioural variables were assessed using self-administered questionnaires and interviews. Individuals experiencing FI were compared with food-secure individuals, the latter being divided into four categories according to quartiles of their income per consumption unit (FS1 to FS4). Differences among categories were analysed using χ 2 tests, ANOVA and tests for trend. Results: Individuals experiencing FI represented 12·2 % of the population. They were on average younger, more frequently women and single parents with children compared with those in the other four categories. Their mean income per consumption unit was higher than that in the FS1 category, but they reported poorer material and housing conditions. The prevalence of smoking and the mean daily time spent watching television were also higher in the FI category. No significant difference among categories was found for energy intake, but mean intakes of fruits, vegetables and fish were lower, and diet quality was slightly but significantly poorer in the FI category. Daily diet cost was also lower in the FI category. Conclusions: France is not spared by FI. FI should be routinely monitored at the national level and research should be promoted to identify effective strategies to reduce nutrition inequalities in France.

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An ecological analysis of factors associated with food insecurity in South Australia, 2002–7

Abstract: Objective: To estimate the extent of food insecurity in South Australia and its relationship with a variety of socio-economic variables.

Cited by 74 publications

References 29 publications

Association of socioeconomic, labor and health variables related to Food Insecurity in workers of the Popular Restaurants in the city of Rio de Janeiro

Association of socioeconomic, labor and health variables related to Food Insecurity in workers of the Popular Restaurants in the city of Rio de Janeiro

Place and food insecurity: a critical review and synthesis of the literature

Socio-economic characteristics, living conditions and diet quality are associated with food insecurity in France

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