U.S. Food Insecurity Status: Toward a Refined Definition

Coleman‐Jensen, Alisha

doi:10.1007/s11205-009-9455-4

Cited by 80 publications

(65 citation statements)

References 15 publications

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“…Pediatrics 2014;134:e1611-e1618 Adverse social conditions experienced in childhood contribute to an elevated burden of disease in affected children, spanning acute and chronic diseases such as injury, diabetes, asthma, infectious disease, and cardiovascular disease. [1][2][3][4] Exposures such as poverty and other financial stress, [5][6][7] food insecurity, [8][9][10][11][12][13][14] and poor housing quality and housing instability [15][16][17][18][19] have been linked with greater stress, socioemotional behavior problems, cognitive and academic deficits, and poor health status. The probability of poor health increases as the number of adverse exposures increases, 20,21 and risks extend to disease onset and premature mortality in adulthood.…”

Section: Discussionmentioning

confidence: 99%

A Randomized Trial on Screening for Social Determinants of Health: the iScreen Study

Gottlieb¹,

Hessler²,

et al. 2014

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BACKGROUND: There is growing interest in clinical screening for pediatric social determinants of health, but little evidence on formats that maximize disclosure rates on a wide range of potentially sensitive topics. We designed a study to examine disclosure rates and hypothesized that there would be no difference in disclosure rates on face-to-face versus electronic screening formats for items other than highly sensitive items. METHODS: We conducted a randomized trial of electronic versus face-to-face social screening formats in a pediatric emergency department. Consenting English-speaking and Spanish-speaking adult caregivers familiar with the presenting child’s household were randomized to social screening via tablet computer (with option for audio assist) versus a face-to-face interview conducted by a fully bilingual/bicultural researcher. RESULTS: Almost all caregivers (96.8%) reported at least 1 social need, but rates of reporting on the more sensitive issues (household violence and substance abuse) were significantly higher in electronic format, and disclosure was marginally higher in electronic format for financial insecurity and neighborhood and school safety. There was a significant difference in the proportion of social needs items with higher endorsement in the computer-based group (70%) than the face-to-face group (30%). CONCLUSIONS: Pediatric clinical sites interested in incorporating caregiver-reported socioeconomic, environmental, and behavioral needs screening should consider electronic screening when feasible, particularly when assessing sensitive topics such as child safety and household member substance use.

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Section: Discussionmentioning

confidence: 99%

A Randomized Trial on Screening for Social Determinants of Health: the iScreen Study

Gottlieb¹,

Hessler²,

et al. 2014

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“…This classification scheme includes marginal, moderate and severe food insecurity, 16 recognizing the heightened vulnerability of individuals in households reporting any indication of this condition. 10,21 Thus, our estimation of food insecurity prevalence encompasses a more comprehensive spectrum of the food-insecure population than the coding method originally proposed by Health Canada. 20 Changes in the prevalence of household food insecurity within CMAs were first examined by comparing estimates from 2011-2012 to those from 2007-2008.…”

Section: Methodsmentioning

confidence: 99%

Changes in household food insecurity rates in Canadian metropolitan areas from 2007 to 2012

Sriram

Tarasuk

2015

Can J Public Health

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OBJECTIVES:The socio-demographic characteristics of food-insecure households in Canada have been well characterized, but there is little understanding of what drives the prevalence rates. This study was undertaken to estimate the prevalence of household food insecurity by census metropolitan area (CMA), compare prevalence rates within CMAs and within provinces over time, and assess the effect of local area economic characteristics on changes in CMA food insecurity rates. METHODS:Data from the 2007-2012 annual components of the Canadian Community Health Survey were used to generate food insecurity rates for 33 CMAs and the corresponding nine provinces, and to compare changes in prevalence over time. Fixed-effects multiple linear regression analysis was applied to examine associations between changes in food insecurity and local area economic factors, considering peak unemployment rate, average number of Employment Insurance beneficiaries, vacancy rate, poverty rate and poverty gap.RESULTS: Food insecurity rates ranged from 19.9% in Halifax to 9.0% in Quebec City in 2011-2012. Rates within and between CMAs were much more variable than provincial rates. Between 2007Between -2008Between and 2011Between -2012, the prevalence increased significantly in Halifax, Montreal, Peterborough, Guelph, Calgary and Abbotsford, but decreased in Hamilton. Among the economic characteristics examined, only rising peak unemployment rates were linked to increases in food insecurity in CMAs. CONCLUSIONS:Our results suggest that policy initiatives to expand employment opportunities, improve the quality and stability of employment, and increase benefits for disadvantaged workers could reduce the prevalence of food insecurity within CMAs.KEY WORDS: Food insecurity; census metropolitan areas; unemployment; Canada La traduction du résumé se trouve à la fin de l'article.

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“…Households with no affirmative responses were considered fully food secure. 17 Cut-points used by the US Department of Agriculture were used to denote a marginal food insecurity category (ie, 1-2 affirmative responses). 25 The aggregate number of affirmative responses to questions on the HFSSM was used as a continuous, linear variable ranging in value from 1 to 17 and indicates increasing severity of food insecurity.…”

Section: Variablesmentioning

confidence: 99%

“…Second, we examine differences between marginally food secure and fully food secure households in relation to these measures, adding to the emerging literature exploring differences between these groups. 17,18 …”

Section: Introductionmentioning

confidence: 99%

What Does Increasing Severity of Food Insecurity Indicate for Food Insecure Families? Relationships Between Severity of Food Insecurity and Indicators of Material Hardship and Constrained Food Purchasing

Loopstra

Tarasuk

2013

Journal of Hunger & Environmental Nutrition

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Understanding how increasing severity of food insecurity relates to other measures of material hardship and food purchasing is important for understanding the experience and its associated consequences. Data from a study of 501 low-income families in Toronto, which included food security measured by the Household Food Security Survey Module (HFSSM) and questions about material hardships and food purchasing constraint, were used to examine how odds of experiencing hardships were related to severity of food insecurity. Differences between fully food secure families and marginally food insecure families were also examined. The odds of experiencing rent and bill hardships, giving up services, pawning possessions, and constrained purchasing of milk, vegetables, and fruit increased along the continuum of severity of food insecurity. In comparison to fully food secure families, marginally food insecure families had significantly higher odds of experiencing bill and rent hardships and having given up household services.

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U.S. Food Insecurity Status: Toward a Refined Definition

Abstract: Food insecurity, Food security measurement, U.S. Current Population Survey,

Cited by 80 publications

References 15 publications

A Randomized Trial on Screening for Social Determinants of Health: the iScreen Study

A Randomized Trial on Screening for Social Determinants of Health: the iScreen Study

Changes in household food insecurity rates in Canadian metropolitan areas from 2007 to 2012

What Does Increasing Severity of Food Insecurity Indicate for Food Insecure Families? Relationships Between Severity of Food Insecurity and Indicators of Material Hardship and Constrained Food Purchasing

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