Disparities in Cardiovascular Health by Food Security Status and Supplemental Nutrition Assistance Program Participation Using Life's Essential 8 Metrics.
Disparities in Cardiovascular Health by Food Security Status and Supplemental Nutrition Assistance Program Participation Using Life's Essential 8 Metrics.
Project description:ObjectiveThe current study aimed to (i) describe racial/ethnic disparities in household food and beverage purchases among participants and non-participants in the Supplemental Nutrition Assistance Program (SNAP) and (ii) examine longitudinal associations between SNAP participation and purchases by race/ethnicity.DesignTo describe disparities, we estimated sociodemographic-adjusted mean purchases of seven unhealthy food and beverage groups (e.g. junk food, sugar-sweetened beverages) and four nutrients (e.g. sugar, Na) among white, black and Hispanic SNAP-participating and non-participating households. To examine longitudinal associations, we used multivariable linear regression with household fixed effects.SettingUSA, 2010-2014.SubjectsFood and beverage purchases among low-income (≤250 % federal poverty line) US households (n 30 403) participating in the Nielsen Homescan Panel.ResultsAmong non-participants, there were significant black-white disparities (i.e. differences favouring white households) in households' adjusted mean purchases of processed meat, sweeteners, sugar-sweetened beverages, energy and Na. These disparities persisted among SNAP participants. In contrast, the only significant Hispanic-white disparity among non-participants was for Na purchases; this disparity was reduced in magnitude and no longer significant among SNAP-participating households. Additionally, Hispanic households purchased less energy from junk foods than white households, regardless of SNAP status. In longitudinal models accounting for household fixed effects, SNAP participation was associated with increased energy purchased among black households. No other significant longitudinal associations between SNAP and purchase outcomes were observed.ConclusionsSNAP may not be meeting its potential to improve food and beverage purchases or reduce disparities. Research is needed to identify strategies for ensuring nutritious purchases across all racial/ethnic groups.
Project description:The purpose of this project was to determine whether consistent food assistance program participation or changes in participation over time mediated or moderated the effect of federal nutrition education through the Supplemental Nutrition Assistance Program-Education (SNAP-Ed) on food security and determine the associations of SNAP-Ed program delivery characteristics with change in food security. This secondary analysis used data from a randomized controlled trial from September 2013 through April 2015. SNAP-Ed-eligible participants (n = 328; ≥18 years) in households with children were recruited from 39 counties in Indiana, USA. The dependent variable was one year change in household food security score measured using the United States Household Food Security Survey Module. Assessment of mediation used Barron-Kenny analysis and moderation used interactions of food assistance program use and changes over time with treatment group in general linear regression modeling. Program delivery characteristics were investigated using mixed linear regression modeling. Results showed that neither consistent participation nor changes in food assistance program participation over time mediated nor moderated the effect of SNAP-Ed on food security and neither were SNAP-Ed program delivery characteristics associated with change in food security over the one year study period. SNAP-Ed directly improved food security among SNAP-Ed-eligible Indiana households with children regardless of food assistance program participation and changes over time or varying program delivery characteristics.
Project description:ImportanceUnhealthful diet is a top contributor to chronic diseases in the United States. There are growing concerns about disparities in diet among US adults, especially for those who participate in the Supplemental Nutrition Assistance Program (SNAP), the largest federal food assistance program. It remains unclear how these disparities may have changed over time.ObjectiveTo assess whether disparities in key food groups and nutrients according to participation and eligibility for SNAP have persisted, improved, or worsened over time among US adults.Design setting and participantsThis survey study examined a nationally representative sample of 38 696 adults aged 20 years or older: 6162 SNAP participants, 6692 income-eligible nonparticipants, and 25 842 higher-income individuals from 8 cycles of the National Health and Nutrition Examination Survey (1999-2014). Data analysis was conducted between January 1, 2017, and December 31, 2017.ExposuresSurvey-weighted, energy-adjusted diet by SNAP participation status.Main outcomes and measuresMean diet scores and proportions of US adults meeting poor, intermediate, or ideal diet scores based on the American Heart Association (AHA) 2020 Strategic Impact Goals for diet, including 8 components (fruits and vegetables; whole grains; fish and shellfish; sugar-sweetened beverages; sodium; nuts, seeds, and legumes; processed meats; and saturated fat).ResultsThe survey included 38 696 respondents (20 062 female [51.9%]; 18 386 non-Hispanic white [69.8%]; mean [SD] age, 46.8 [14.8] years). Participants of SNAP were younger (mean [SD] age, 41.4 [15.6] years) than income-eligible nonparticipants (mean [SD] age, 44.9 [19.6] years) or higher-income individuals (mean [SD] age, 47.8 [13.6] years); more likely to be female (3552 of 6162 [58.6%] vs 3504 of 6692 [54.8%] and 13 006 of 25 842 [50.4%], respectively); and less likely to be non-Hispanic white (2062 of 6162 [48.2%] vs 2594 of 6692 [56.0%] and 13 712 of 25 842 [75.8%], respectively). From surveys conducted in 2003 and 2004 to those conducted in 2013 and 2014, SNAP participants had less improvement in AHA diet scores than both income-eligible nonparticipants and higher-income individuals (change in mean score = 0.57 [95% CI, -2.18 to 0.33] vs 2.56 [95% CI, 0.36-4.76] and 3.84 [95% CI, 2.39-5.29], respectively; P = .04 for interaction). Disparities persisted for most foods and nutrients and worsened for processed meats, added sugars, and nuts and seeds. In 2013 to 2014, a higher proportion of SNAP participants had poor diet scores compared with income-eligible nonparticipants and higher-income individuals (461 of 950 [53.5%] vs 247 of 690 [38.0%] and 773 of 2797 [28.7%]; P < .001 for difference), and a lower proportion had intermediate diet scores (477 of 950 [45.3%] vs 428 of 690 [59.8%] and 1933 of 2797 [68.7%]; P < .001 for difference). The proportion of participants with ideal diet scores was low in all 3 groups (12 of 950 [1.3%] vs 15 of 690 [2.2%] and 91 of 2797 [2.6%]; P = .26 for difference).Conclusions and relevanceDietary disparities persisted or worsened for most dietary components among US adults. Despite improvement in some dietary components, SNAP participants still do not meet the AHA goals for a healthful diet.
Project description:ImportanceRacially minoritized people experience disproportionately high rates of food insecurity. The Supplemental Nutrition Assistance Program (SNAP) reduces food insecurity.ObjectiveTo evaluate SNAP access with regard to racial disparities in food insecurity.Design, setting, and participantsThis cross-sectional study used data from the 2018 Survey of Income and Program Participation (SIPP). On the basis of random sampling strategies, 44 870 households were eligible for the SIPP, and 26 215 (58.4%) participated. Sampling weights accounted for survey design and nonresponse. Data were analyzed from February 25 to December 12, 2022.ExposuresThis study examined disparities based on household racial composition (entirely Asian, entirely Black, entirely White, and multiple races or multirace based on SIPP categories).Main outcomes and measuresFood insecurity during the prior year was measured using the validated 6-item US Department of Agriculture Food Security Survey Module. SNAP participation during the prior year was classified based on whether anyone in the household received SNAP benefits. Modified Poisson regression tested hypothesized disparities in food insecurity.ResultsA total of 4974 households that were eligible for SNAP (income ≤130% of the poverty threshold) were included in this study. A total of 218 households (5%) were entirely Asian, 1014 (22%) were entirely Black, 3313 (65%) were entirely White, and 429 (8%) were multiracial or of other racial groups. Adjusting for household characteristics, households that were entirely Black (prevalence rate [PR], 1.18; 95% CI, 1.04-1.33) or multiracial (PR, 1.25; 95% CI, 1.06-1.46) were more likely to be food insecure than entirely White households, but associations differed depending on SNAP participation. Among households that did not participate in SNAP, those that were entirely Black (PR, 1.52; 97.5% CI, 1.20-1.93) or multiracial (PR, 1.42; 97.5% CI, 1.04-1.94) were more likely to be food insecure than White households; however, among SNAP participants, Black households were less likely than White households to be food insecure (PR, 0.84; 97.5% CI, 0.71-0.99).Conclusions and relevanceIn this cross-sectional study, racial disparities in food insecurity were found among low-income households that do not participate in SNAP but not among those that do, suggesting that access to SNAP should be improved. These results also highlight the need to examine the structural and systemic racism in food systems and in access to food assistance that may contribute to disparities.
Project description:ImportanceUnderstanding how social policies shape health is a national priority, especially in the context of the COVID-19 pandemic.ObjectiveTo understand the association between politically motivated changes to Nebraska's Supplemental Nutrition Assistance Program (SNAP) policy and public health measures during the COVID-19 pandemic.Design, setting, and participantsThis cross-sectional study used synthetic control methods to estimate the association of Nebraska's decision to reject emergency allotments for the SNAP with food security and hospital capacity indicators. A counterfactual for Nebraska was created by weighting data from the rest of the US. State-level changes in Nebraska between March 2020 and March 2021 were included. Data were acquired from the Census Bureau's Household Pulse Survey on individual food security and mental health indicators and from the US Centers for Disease Control and Prevention on hospital-level capacity indicators. Data analysis occurred between October 2022 and June 2023.InterventionThe rejection of additional SNAP funds for low-income households in Nebraska from August to November 2020.Main outcomes and measuresFood insecurity and inpatient bed use indicators (ie, inpatient beds filled, inpatient beds filled by patients with COVID-19, and inpatients with COVID-19).ResultsThe survey data of 1 591 006 respondents from May 2020 to November 2020 was analyzed, and 24 869 (1.56%) lived in Nebraska. Nebraska's population was composed of proportionally more White individuals (mean [SD], 88.70% [0.29%] vs 78.28% [0.26%]; P < .001), fewer individuals who made more than $200 000 in 2019 (4.20% [0.45%] vs 5.22% [0.12%]; P < .001), and more households sized 1 to 3 (63.41% [2.29%] vs 61.13% [1.10%); P = .03) compared with other states. Nebraska's rejection of additional funding for SNAP recipients was associated with increases in food insecurity (raw mean [SD] difference 1.61% [1.30%]; relative difference, 19.63%; P = .02), percentage of inpatient beds filled by patients with COVID-19 (raw mean [SD] difference, 0.19% [1.55%]; relative difference, 3.90%; P = .02), and percentage of inpatient beds filled (raw mean [SD] difference, 2.35% [1.82%]; relative difference, 4.10%; P = .02).Conclusions and relevanceIn this cross-sectional study, the association between social policy, food security, health, and public health resources was examined, and the rejection of emergency allotments in Nebraska was associated with increased food insecurity. Additionally, this intervention was associated with an increased rate of hospitalizations for COVID-19 and non-COVID-19 causes.
Project description:RATIONALE:Previous studies have observed an association between participation in the Supplemental Nutrition Assistance Program (SNAP) and depression, which is contrary to SNAP's potential to alleviate food insecurity and financial strain. OBJECTIVE:This study investigated the impact of change in SNAP participation status on maternal depression, and whether perceptions of government assistance moderate this association. METHODS:Data were from the Fragile Families and Child Wellbeing Study (FFCWS). Logistic regression models with individual-specific fixed-effects, were fit to SNAP-eligible mothers who changed SNAP participation and depression status (N = 256) during waves 2 to 4. Perceptions of government assistance were defined as feelings of humiliation or loss of freedom and tested for interactions with SNAP participation. RESULTS:Perceptions of government assistance moderated the association between SNAP participation and depression (p-interaction = 0.0208). Those with positive perceptions of welfare had 0.27 (95% CI = 0.08 to 0.89) times lower odds of depression when enrolled vs. not enrolled in SNAP. Among those with negative perceptions of welfare, SNAP enrollment was not associated with depression (OR = 1.13; 95% CI = 0.85 to 1.51). CONCLUSION:Evidence suggests that SNAP mental health benefits may be context specific. SNAP's capacity to improve mental health may depend on individual perceptions of government assistance. More research is needed to determine whether interventions aimed at mitigating negative perceptions of programs like SNAP could ameliorate poor mental health among program participants.
Project description:ObjectiveNational concerns over food insecurity and obesity have prompted legislation seeking to further restrict Supplemental Nutrition Assistance Program (SNAP) purchases. The objective of this study is to provide insight on the potential impact of proposed purchase restrictions by comparing SNAP participant and income-eligible non-participants' expenditures on current SNAP-restricted foods, that is, hot foods, prepared foods, alcohol, vitamins and meal supplements.DesignCross-sectional study. Bivariate analysis and multivariable regression analysis with an instrumental variables approach were employed to compare the probability of purchasing and expenditures on current SNAP-restricted foods among SNAP participants and income-eligible non-participants.SettingNational Household Food Acquisition and Purchase Survey, 2012-2013.Participants2513 households, of which 1316 were SNAP participants and 1197 were income-eligible non-participants.ResultsBoth the share of households purchasing and household expenditures on current SNAP-restricted foods were similar among SNAP participants and income-eligible non-participants.ConclusionsResults provide further empirical evidence that proposed SNAP purchase restrictions on sugar-sweetened beverages, snack foods and luxury foods are unlikely to have a meaningful effect on SNAP household food purchases.
Project description:ImportanceFood insecurity is associated with high health care expenditures, but the effectiveness of food insecurity interventions on health care costs is unknown.ObjectiveTo determine whether the Supplemental Nutrition Assistance Program (SNAP), which addresses food insecurity, can reduce health care expenditures.Design, setting, and participantsThis is a retrospective cohort study of 4447 noninstitutionalized adults with income below 200% of the federal poverty threshold who participated in the 2011 National Health Interview Survey (NHIS) and the 2012-2013 Medical Expenditure Panel Survey (MEPS).ExposuresSelf-reported SNAP participation in 2011.Main outcomes and measuresTotal health care expenditures (all paid claims and out-of-pocket costs) in the 2012-2013 period. To test whether SNAP participation was associated with lower subsequent health care expenditures, we used generalized linear modeling (gamma distribution, log link, with survey design information), adjusting for demographics (age, gender, race/ethnicity), socioeconomic factors (income, education, Social Security Disability Insurance disability, urban/rural), census region, health insurance, and self-reported medical conditions. We also conducted sensitivity analyses as a robustness check for these modeling assumptions.ResultsA total of 4447 participants (2567 women and 1880 men) were enrolled in the study, mean (SE) age, 42.7 (0.5) years; 1889 were SNAP participants, and 2558 were not. Compared with other low-income adults, SNAP participants were younger (mean [SE] age, 40.3 [0.6] vs 44.1 [0.7] years), more likely to have public insurance or be uninsured (84.9% vs 67.7%), and more likely to be disabled (24.2% vs 10.6%) (P < .001 for all). In age- and gender-adjusted models, health care expenditures between those who did and did not participate in SNAP were similar (difference, $34; 95% CI, -$1097 to $1165). In fully adjusted models, SNAP was associated with lower estimated annual health care expenditures (-$1409; 95% CI, -$2694 to -$125). Sensitivity analyses were consistent with these results, also indicating that SNAP participation was associated with significantly lower estimated expenditures.Conclusions and relevanceSNAP enrollment is associated with reduced health care spending among low-income American adults, a finding consistent across several analytic approaches. Encouraging SNAP enrollment among eligible adults may help reduce health care costs in the United States.
Project description:ContextThe Supplemental Nutrition Assistance Program (SNAP) is an effective component in reducing food insecurity in the U.S. In the discussion of strategies to also help SNAP participants maximize diet quality, it is important to know their current dietary patterns and food choices. This paper provides a systematic review of recent U.S. studies on dietary quality, food consumption, and spending among SNAP participants as compared to income-eligible and higher-income nonparticipants.Evidence acquisitionThe review, completed in 2014, summarized studies that were peer-reviewed, published between January 2003 and August 2014, and provided data on dietary quality and intake of SNAP participants and nonparticipants.Evidence synthesisTwenty-five studies were included in this review. Daily caloric, macronutrient, and micronutrient intake of SNAP participants did not differ systematically from those of income-eligible nonparticipants; however, differences in dietary quality emerged. Adult SNAP participants scored lower on the Healthy Eating Index than either group of nonparticipants. Children's diets were similar among SNAP participants and low-income nonparticipants, but were less nutritious than diets of higher-income children. The evidence regarding sugar-sweetened beverage consumption was mixed, with most studies indicating significantly higher beverage intake among SNAP participants compared with higher-income nonparticipants, but no difference compared to income-eligible nonparticipants.ConclusionsSNAP effectively alleviates food insecurity in terms of caloric, macronutrient, and micronutrient intake. Still, SNAP participants are struggling more than income-eligible and higher-income nonparticipants to meet key dietary guidelines. Future policies should ensure that this vital food assistance program addresses diet quality while reducing food insecurity.
Project description:BackgroundThe United States Department of Agriculture's Supplemental Nutrition Assistance Program (SNAP) is the country's largest nutrition assistance program for low-income populations. Although SNAP has been shown to reduce food insecurity, research findings on the diet quality of program participants are inconsistent.ObjectiveThis study evaluated whether the community food environment is a potential moderator of the association between SNAP participation and eating behaviors.DesignThis cross-sectional study used participant data from a telephone survey of 2,211 households in four cities in New Jersey. Data were collected from two cross-sectional panels from 2009 to 2010 and 2014. Food outlet data were purchased from commercial sources and classified as supermarkets, small grocery stores, convenience stores, or limited service restaurants.Participants/settingAnalysis is limited to 983 respondents (588 SNAP participants) with household incomes below 130% of the federal poverty level.Main outcome measuresEating behaviors were assessed as frequency of consumption of fruit, vegetables, salad, and sugar-sweetened beverages.Statistical analyses performedInteraction and stratified analyses using gamma regression determined the differences in the association between SNAP participation and eating behaviors by the presence or absence of food outlets adjusted for covariates.ResultsSNAP participation was associated with a higher frequency of consuming sugar-sweetened beverages (P<0.05) when respondents lived within ¼ to ½ mile of a small grocery store, supermarket, and limited service restaurant. SNAP participants who did not live close to a convenience store reported a lower frequency of sugar-sweetened beverage consumption (P=0.01), and those living more than ½ mile away from a supermarket reported a lower frequency of fruit consumption (P=0.03).ConclusionsThe findings from this study suggest that the community food environment may play a role in moderating the association between SNAP participation and eating behaviors. Although SNAP participation is associated with some unhealthy behaviors, this association may only hold true when respondents live in certain food environments.