Literature DB >> 24402381

Prevalence and risk factors of food insecurity among a cohort of older Australians.

J Russell1, V Flood, H Yeatman, P Mitchell.   

Abstract

OBJECTIVE: With ongoing national concern about food security, the aim of the study was to estimate the prevalence of food insecurity and to identify associated characteristics in a cohort of older Australians. DESIGN, SETTING AND PARTICIPANTS: The Blue Mountains Eye Study is a cohort study of community living participants aged 49 + years. The 12-item food security survey was completed by 3068 participants in the cross sectional study which comprised 2335 survivors from baseline and the recruitment of an additional 1174 eligible residents. MAIN OUTCOME MEASURES: Prevalence of self reported food insecurity was calculated and multivariate logistic regression provided odds ratios with 95% confidence intervals to determine risk factors.
RESULTS: Overall prevalence of food insecurity was 13%. Women (15.7%) compared with men (9.4%) and younger participants, aged <70 years (15.7%) than older participants, ≥70 years (8.4%), were significantly more likely to report being food insecure. Characteristics for reporting food insecurity included participants living in rented accommodation (OR 4.10, 95% CI: 2.83, 5.89) and those living on a pension only (OR 1.90, 95%CI: 1.30, 2.78).
CONCLUSIONS: A relatively high level of food insecurity among this representative population of older Australians should be an issue of concern for policy makers and health and welfare service providers. Addressing food insecurity should be a priority of integrated national food and nutrition policies and this should in turn inform health and welfare service provision to this vulnerable population.

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Year:  2014        PMID: 24402381     DOI: 10.1007/s12603-013-0339-6

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  24 in total

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2.  Food insufficiency in Queensland.

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3.  Climate change, food insecurity and chronic diseases: sustainable and healthy policy opportunities for Australia.

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5.  An ecological analysis of factors associated with food insecurity in South Australia, 2002-7.

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Journal:  Public Health Nutr       Date:  2009-08-26       Impact factor: 4.022

6.  Reduced food access due to a lack of money, inability to lift and lack of access to a car for food shopping: a multilevel study in Melbourne, Victoria.

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Review 7.  A comparison of goodness-of-fit tests for the logistic regression model.

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Review 8.  Prevalence of age-related maculopathy in Australia. The Blue Mountains Eye Study.

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9.  Household food insecurity with hunger is associated with women's food intakes, health and household circumstances.

Authors:  V S Tarasuk
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10.  Validation of the Radimer/Cornell measures of hunger and food insecurity.

Authors:  A Kendall; C M Olson; E A Frongillo
Journal:  J Nutr       Date:  1995-11       Impact factor: 4.798

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5.  Food Insecurity in Older Adults: Results From the Epidemiology of Chronic Diseases Cohort Study 3.

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6.  Social Assistance Payments and Food Insecurity inAustralia: Evidence from the HouseholdExpenditure Survey.

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7.  Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

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8.  Measuring and Understanding Food Insecurity in Australia: A Systematic Review.

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9.  Pension beneficiaries' household food insecurity and associated factors in Debre Markos town, Northwest Ethiopia.

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10.  The Association between Stressful Events and Food Insecurity: Cross-Sectional Evidence from Australia.

Authors:  Jeromey B Temple
Journal:  Int J Environ Res Public Health       Date:  2018-10-23       Impact factor: 3.390

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