Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic

Kent, Katherine; Murray, Sandra; Penrose, Beth; Auckland, Srj; Visentin, Denis; Godrich, Stephanie; Lester, Elizabeth

doi:10.3390/nu12092682

Cited by 113 publications

(188 citation statements)

References 33 publications

(45 reference statements)

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“…These findings are consistent with other studies, for example, in Jordan (36) it was reported that people who had a monthly income per capita below the poverty line were more likely to have moderate food insecurity (OR: 5·33; 95% CI: 4·44–6·40) and severe food insecurity (OR: 6·87; 95% CI: 5·542–8·512). In the same way, other studies that explored the determinants of food insecurity in the pandemic contexts reported a higher risk to have MSFI in low-income people (37) , people who lost their job (14, 38) or people substantially lost their income (39) .…”

Section: Discussionmentioning

confidence: 78%

Social predictors of food insecurity during the stay-at-home order due to the COVID-19 pandemic in Peru. Results from a cross-sectional web-based survey

Elorreaga

Cochachin-Henostroza

et al. 2021

Preprint

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Background Stay-at-home orders and social distancing have been implemented as the primary tool to reduce the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, this approach has indirectly caused, only in Lima- Peru, more than 2.3 million Peruvians to lose their jobs. As a result, the risk of food insecurity may have increased in affected low-income families, especially those that depend on daily income. This study estimates the prevalence of moderate or severe food insecurity (MSFI) and identifies the associated factors that explain this outcome during the stay-at-home order. Methods A cross-sectional web-based survey, with the non-probability sample, was conducted between May 18 and June 30, 2020, during the stay-at-home order in Peru. We used social media advertisements on Facebook to reach 18-59 year-olds living in Peru. MSFI was assessed using the Food Insecurity Experience Scale (FIES). Rasch model methodology requirements were considered, and factors associated with MSFI were selected using a stepwise forward selection. A Poisson generalized linear model (Poisson GLMs), with log link function, was employed to estimate adjusted prevalence ratios (aPR). Findings This analysis is based on 1846 replies. The prevalence of MSFI was 23.2%, and FIES proved to be an acceptable instrument with reliability 0.72 and infit 0.8-1.3. People more likely to experience MSFI were those with low income (less than 255 US$/month) in the pre-pandemic period (aPR 3.77; 95%CI, 1.98-7.16), those whose income was significantly reduced during the pandemic period (aPR 2.27; 95%CI, 1.55-3.31), and those whose savings ran out in less than 21 days (aPR 1.86; 95%CI, 1.43-2.42). Likewise, heads of households (aPR 1.20; 95%CI, 1.00-1.44) and those with relatives with probable SARS-CoV2 cases (aPR 1.29; 95%CI, 1.05-1.58) were at an increased risk of MSFI. Additionally, those who perceived losing weight during the pandemic (aPR 1.21; 95%CI, 1.01-1.45), and reported increases in processed foods prices (aPR 1.31; 95%CI, 1.08-1.59), and eating less minimally processed food (aPR 1.82; 95%CI, 1.48-2.24) were also more likely to experience MSFI. Interpretation People most at risk of MSFI were those in a critical economic situation before and during the pandemic period. It is necessary to reinforce social protection policies to prevent or mitigate these adverse effects. Funding None.

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Section: Discussionmentioning

confidence: 78%

Social predictors of food insecurity during the stay-at-home order due to the COVID-19 pandemic in Peru. Results from a cross-sectional web-based survey

Elorreaga

Cochachin-Henostroza

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Similar protective factors had already been identified in several studies before the pandemic [ 37 , 38 ]. Recently, an Australian online survey, performed between May and June 2020 on 1170 adults living in Tasmania, found that increasing age, a university education and higher income were protective against FI [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Parents’ Perception of Food Insecurity and of Its Effects on Their Children in Italy Six Months after the COVID-19 Pandemic Outbreak

et al. 2020

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The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pandemic and subsequent containment measures are causing an increase in food insecurity (FI) worldwide, with direct consequences on children’s nutrition. We aimed to investigate the effects of the lockdown imposed in Italy on FI and changes in eating habits and body weight in the pediatric population 6 months after the beginning of the pandemic through a cross-sectional online survey proposed to parents of children <18 and living in Italy. Among 5811 respondents, most of whom were Italian, living in Northern Italy, and with a wealthy household economy, 8.3% reported that their families were at risk of FI before the appearance of SARS-CoV-2 and, alarmingly, this percentage increased to 16.2% after the pandemic began, with households from Southern Italy being more at risk. Moreover, 27.3% of the parents reported that their children were eating more; an increase in “junk food” consumption was also found; 31.8% of the respondents declared an increase in children’s weight; weight loss prevailed among adolescents. Since the SARS-CoV-2 pandemic is again requiring restrictions, our findings might serve as a warning to politicians to promote healthy lifestyles and provide assistance to the groups in need.

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“…For lower income and those without a college degree, lower odds of leaving to grocery shop may be due to possible use of food banks and food pantries (Feeding America, 2020). Higher levels of education have been found to be protective against food insecurity during COVID-19 (Kent et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Associations of Urbanicity and Sociodemographic Characteristics with Protective Health Behaviors and Reasons for Leaving the Home During COVID-19

Burford

Dooley

Lanza

et al. 2020

HPB

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Background: Few data exist on the characteristics of U.S. adults' compliance with movement restrictions (i.e., "stay-at-home" orders) and protective health behaviors during the COVID-19 pandemic. Purpose: To evaluate the associations of individual-and area-level characteristics (urbanicity) with reasons for leaving home and subsequent protective health behaviors during the COVID-19 pandemic. Methods: A convenience sample of U.S. adults (N = 2,441) completed a 15-minute self-report online questionnaire. Exclusion criteria included: 1) missing ZIP; 2) currently sick with COVID-19; 3) difficulty with errands; and 4) "essential service" employment. Multivariable logistic regression models estimated the odds of citing reasons for leaving home and protective health behaviors by levels of urbanicity and sociodemographic factors. Data collection and analyses were conducted between April and June 2020. Results: The analytic sample (n = 1,374) was primarily Non-Hispanic white (79%), female (72%), urban residents (43%), and college degree or higher (85%). Rural residents (versus urban residents) had lower odds of wearing a mask (OR = 0.60, 95%CI:0.43-0.83). Women (versus men) had lower odds of leaving the home for shopping (grocery: OR = 0.51, 95%CI:0.31-0.80; essential: OR = 0.68, 95%CI:0.52-0.88), and higher odds of social distancing (OR = 2.34, 95%CI:1.12-4.85) and wearing a mask (OR = 1.58, 95%CI:1.20-2.08). Older adults [(≥50 years) versus younger adults (18-34 years)], had higher odds of leaving home for grocery shopping (OR = 2.07, 95%CI:1.25-3.48) and higher odds of wearing a mask (OR = 2.02, 95%CI:1.42-2.91). Conclusions: The differences for leaving home and protective health behaviors by age, sex, and urbanicity can be useful for future health promotion strategies to encourage best practices that limit the spread of COVID-19.

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Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic

Cited by 113 publications

References 33 publications

Social predictors of food insecurity during the stay-at-home order due to the COVID-19 pandemic in Peru. Results from a cross-sectional web-based survey

Social predictors of food insecurity during the stay-at-home order due to the COVID-19 pandemic in Peru. Results from a cross-sectional web-based survey

Parents’ Perception of Food Insecurity and of Its Effects on Their Children in Italy Six Months after the COVID-19 Pandemic Outbreak

Associations of Urbanicity and Sociodemographic Characteristics with Protective Health Behaviors and Reasons for Leaving the Home During COVID-19

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