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Snap Benefit sentence examples within Receiving Snap Benefit
Bayesian spatio-temporal models indicated that substantiated child abuse and neglect rates were independently and positively associated with teen birth rates, percentages of births to unmarried mothers, drug-related offenses, and percentages of children receiving SNAP benefits.
Bayesian spatio-temporal models indicated that substantiated child abuse and neglect rates were independently and positively associated with teen birth rates, percentages of births to unmarried mothers, drug-related offenses, and percentages of children receiving SNAP benefits.
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Snap Benefit sentence examples within Increasing Snap Benefit
Policymakers should address these shortcomings by increasing SNAP benefits and expanding SNAP eligibility to underserved groups.
Policymakers should address these shortcomings by increasing SNAP benefits and expanding SNAP eligibility to underserved groups.
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Our specific recommendations include increasing SNAP benefits, establishing additional benefits to support low-income families with young children, and implementing a universal child allowance.
Our specific recommendations include increasing SNAP benefits, establishing additional benefits to support low-income families with young children, and implementing a universal child allowance.
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10.1377/hlthaff.2018.05265
Families whose earned income increases in a given month may have their SNAP benefits abruptly reduced or cut off in the following month.
Families whose earned income increases in a given month may have their SNAP benefits abruptly reduced or cut off in the following month.
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10.1016/j.jneb.2019.11.015
Additional research could inform policy by investigating which participants would benefit from using SNAP benefits online and strategies for facilitating use.
Additional research could inform policy by investigating which participants would benefit from using SNAP benefits online and strategies for facilitating use.
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10.1093/cdn/nzz051.FS02-05-19
7) were female (91%), African American (65%), and receiving SNAP benefits (54%).
7) were female (91%), African American (65%), and receiving SNAP benefits (54%).
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10.1016/j.socscimed.2018.11.001
We link Medicaid claims data to monthly Supplemental Nutritional Assistance Program (SNAP) participation data from the state of Missouri from 2010 to 2013 to explore monthly patterns in children's emergency room (ER) claims for asthma and to examine whether these patterns are sensitive to the timing and amount of SNAP benefits.
We link Medicaid claims data to monthly Supplemental Nutritional Assistance Program (SNAP) participation data from the state of Missouri from 2010 to 2013 to explore monthly patterns in children's emergency room (ER) claims for asthma and to examine whether these patterns are sensitive to the timing and amount of SNAP benefits.
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10.1002/PAM.22093
We test this hypothesis by examining answers to a 30-day food security module in relation to when SNAP benefits are received.
We test this hypothesis by examining answers to a 30-day food security module in relation to when SNAP benefits are received.
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10.1016/j.chiabu.2019.02.004
Bayesian spatio-temporal models indicated that substantiated child abuse and neglect rates were independently and positively associated with teen birth rates, percentages of births to unmarried mothers, drug-related offenses, and percentages of children receiving SNAP benefits.
Bayesian spatio-temporal models indicated that substantiated child abuse and neglect rates were independently and positively associated with teen birth rates, percentages of births to unmarried mothers, drug-related offenses, and percentages of children receiving SNAP benefits.
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10.1016/J.JNEB.2019.05.414
Target Audience Mainers eligible for SNAP benefits.
Target Audience Mainers eligible for SNAP benefits.
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10.1016/j.ssmph.2019.100393
SNAP benefits are distributed once per month and both food spending and calorie consumption tend to decrease as time from benefit distribution increases.
SNAP benefits are distributed once per month and both food spending and calorie consumption tend to decrease as time from benefit distribution increases.
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10.1017/age.2019.30
One factor behind this is the difference in food prices across the country—SNAP benefits are not adjusted to reflect these differences.
One factor behind this is the difference in food prices across the country—SNAP benefits are not adjusted to reflect these differences.
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10.1093/cdn/nzz051.P04-064-19
Objectives
We examined prevalence and impact of food insecurity and use of SNAP benefits in a cohort of inner-city patients with diabetes.
Objectives
We examined prevalence and impact of food insecurity and use of SNAP benefits in a cohort of inner-city patients with diabetes.
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10.1257/POL.20170490
The increase is primarily driven by crimes that are financially motivated suggesting that the cut in SNAP benefits causes ex-convicts to increase their illegal labor supply.
The increase is primarily driven by crimes that are financially motivated suggesting that the cut in SNAP benefits causes ex-convicts to increase their illegal labor supply.
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10.1016/j.pcd.2019.07.003
Among youth in households receiving SNAP benefits, soda consumption in the past month was associated with a greater risk of obesity, particularly Hispanic youth [OR=1.
Among youth in households receiving SNAP benefits, soda consumption in the past month was associated with a greater risk of obesity, particularly Hispanic youth [OR=1.
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10.1515/bejeap-2018-0045
Using a panel data set (1997–2015) at the state level, two-way fixed effects estimates demonstrate a nonlinear relationship between minimum wages and SNAP benefits.
Using a panel data set (1997–2015) at the state level, two-way fixed effects estimates demonstrate a nonlinear relationship between minimum wages and SNAP benefits.
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10.1093/geroni/igz038.535
Notably, receipt of SNAP benefits, Meals on Wheels services or other food assistance was associated with a 43% reduction in the risk of hospitalization in the past 12 months.
Notably, receipt of SNAP benefits, Meals on Wheels services or other food assistance was associated with a 43% reduction in the risk of hospitalization in the past 12 months.
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10.1097/MLR.0000000000001235
Research Design: Retrospective cohort study using 2010–2013 SNAP benefit data from the state of Missouri linked to Medicaid claims data for the same time period.
Research Design: Retrospective cohort study using 2010–2013 SNAP benefit data from the state of Missouri linked to Medicaid claims data for the same time period.
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10.1016/J.JHEALECO.2019.102231
Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value - or purchasing power - of SNAP benefits.
Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value - or purchasing power - of SNAP benefits.
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10.4148/2572-1836.1034
9%; redemption was significantly higher for people 50+ years of age, without children in the household, not currently receiving SNAP benefits, and living in the zip code with an intervention market.
9%; redemption was significantly higher for people 50+ years of age, without children in the household, not currently receiving SNAP benefits, and living in the zip code with an intervention market.
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10.2105/AJPH.2019.305363
This essay presents data from New York City to illustrate the importance of measuring and addressing neighborhood characteristics that affect Supplemental Nutrition Assistance Program (SNAP) participation and the purchasing power of SNAP benefits: pockets of "eligible-but-not-enrolled" individuals, proximity between SNAP participants and jobs, and variations in food prices across neighborhoods.
This essay presents data from New York City to illustrate the importance of measuring and addressing neighborhood characteristics that affect Supplemental Nutrition Assistance Program (SNAP) participation and the purchasing power of SNAP benefits: pockets of "eligible-but-not-enrolled" individuals, proximity between SNAP participants and jobs, and variations in food prices across neighborhoods.
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10.13023/ETD.2019.320
Finally, in Essay 3 I explore the effect of the real purchasing power of SNAP benefits for households with children on dietary quality of food acquisitions and food insecurity.
Finally, in Essay 3 I explore the effect of the real purchasing power of SNAP benefits for households with children on dietary quality of food acquisitions and food insecurity.
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10.2105/AJPH.2019.305325
Policymakers should address these shortcomings by increasing SNAP benefits and expanding SNAP eligibility to underserved groups.
Policymakers should address these shortcomings by increasing SNAP benefits and expanding SNAP eligibility to underserved groups.
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10.1353/cpr.2019.0061
RESULTS
Co-researchers selected 33 photos reflecting two overarching themes: 1) structural barriers, such as poor-quality food, high transportation costs, limited SNAP benefits, limits of food pantries, easy availability of tobacco and alcohol products, and limited places for exercise and 2) strategies for overcoming structural barriers.
RESULTS
Co-researchers selected 33 photos reflecting two overarching themes: 1) structural barriers, such as poor-quality food, high transportation costs, limited SNAP benefits, limits of food pantries, easy availability of tobacco and alcohol products, and limited places for exercise and 2) strategies for overcoming structural barriers.
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10.1016/J.JNEB.2019.05.484
A systematic consensus process was used for data analysis of following themes: shopping behaviors; familiarity with local produce; decision-making processes regarding food purchasing; knowledge/experience using SNAP benefits for buying fresh produce and getting extra value for doing this (SNAP-incentive Programs).
A systematic consensus process was used for data analysis of following themes: shopping behaviors; familiarity with local produce; decision-making processes regarding food purchasing; knowledge/experience using SNAP benefits for buying fresh produce and getting extra value for doing this (SNAP-incentive Programs).
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10.1016/J.JNEB.2019.05.583
Respondents were recruited via telephone from a list of MS SNAP benefits recipients.
Respondents were recruited via telephone from a list of MS SNAP benefits recipients.
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10.1001/jamapediatrics.2019.1744
3 million children who are currently enrolled in Medicaid and CHIP or receiving SNAP benefits are potentially at risk of disenrollment, of whom 5.
3 million children who are currently enrolled in Medicaid and CHIP or receiving SNAP benefits are potentially at risk of disenrollment, of whom 5.
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10.1080/03670244.2019.1598978
We then examine three additional diet plans to evaluate their feasibility under the current SNAP benefit allotment: a diet for lactose intolerance, for persons with type 2 diabetes, and a diet for pregnant women.
We then examine three additional diet plans to evaluate their feasibility under the current SNAP benefit allotment: a diet for lactose intolerance, for persons with type 2 diabetes, and a diet for pregnant women.
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10.1001/jamainternmed.2018.5011
Individuals in the study were diagnosed with diabetes or borderline diabetes, were eligible to receive SNAP benefits, were prescribed medications, and incurred more than zero US dollars in out-of-pocket medical expenses in the past year.
Individuals in the study were diagnosed with diabetes or borderline diabetes, were eligible to receive SNAP benefits, were prescribed medications, and incurred more than zero US dollars in out-of-pocket medical expenses in the past year.
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10.1017/S1368980019002209
Continuing and expanding SNAP benefits and eligibility likely protects against FI and may improve dietary intake.
Continuing and expanding SNAP benefits and eligibility likely protects against FI and may improve dietary intake.
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10.1016/J.JNEB.2019.05.546
Study Design, Settings, Participants The target audience is Maine adults eligible for SNAP benefits.
Study Design, Settings, Participants The target audience is Maine adults eligible for SNAP benefits.
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10.2139/ssrn.3036713
Using national scanner data available since 2006 and the simulated instrument, we estimate that a 1% increase in SNAP benefits per population led to a persistent 0.
Using national scanner data available since 2006 and the simulated instrument, we estimate that a 1% increase in SNAP benefits per population led to a persistent 0.
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10.1162/rest_a_00757
In this paper, we study the effects of the timing of nutritional aid disbursement on crime, using two main sources of variation: (a) a policy change in Illinois that substantially increased the number of SNAP distribution days and (b) an existing Indiana policy that issues SNAP benefits by last name.
In this paper, we study the effects of the timing of nutritional aid disbursement on crime, using two main sources of variation: (a) a policy change in Illinois that substantially increased the number of SNAP distribution days and (b) an existing Indiana policy that issues SNAP benefits by last name.
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10.1093/nutrit/nuz013
In the face of reduced financial SNAP benefits, SNAP-Ed may play an important role in helping to eliminate food insecurity and improve dietary outcomes and, ultimately, the health of low-income Americans.
In the face of reduced financial SNAP benefits, SNAP-Ed may play an important role in helping to eliminate food insecurity and improve dietary outcomes and, ultimately, the health of low-income Americans.
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10.1093/cdn/nzz051.P04-194-19
Objectives
To inform policy proposals to allow online grocery shopping with SNAP benefits by examining relevant behaviors, knowledge and attitudes of SNAP recipients.
Objectives
To inform policy proposals to allow online grocery shopping with SNAP benefits by examining relevant behaviors, knowledge and attitudes of SNAP recipients.
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10.1080/19320248.2018.1465002
Maximum SNAP benefit levels were associated with increases in county-level SNAP enrollment across the board but especially for single-person households, Hispanics, and rural Whites.
Maximum SNAP benefit levels were associated with increases in county-level SNAP enrollment across the board but especially for single-person households, Hispanics, and rural Whites.
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10.1080/19320248.2018.1512927
Emergent themes included perceptions of the current SNAP; children’s role in food and beverage choices; autonomy in utilizing SNAP benefits; shopping with SNAP; and potential SNAP policy changes.
Emergent themes included perceptions of the current SNAP; children’s role in food and beverage choices; autonomy in utilizing SNAP benefits; shopping with SNAP; and potential SNAP policy changes.
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10.1016/j.amepre.2018.11.010
Motivators for Double Up Food Bucks use included (1) eating more healthfully, (2) stretching SNAP benefits, (3) higher-quality produce at markets, and (4) unique market environments.
Motivators for Double Up Food Bucks use included (1) eating more healthfully, (2) stretching SNAP benefits, (3) higher-quality produce at markets, and (4) unique market environments.
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10.2105/AJPH.2019.305365
Our specific recommendations include increasing SNAP benefits, establishing additional benefits to support low-income families with young children, and implementing a universal child allowance.
Our specific recommendations include increasing SNAP benefits, establishing additional benefits to support low-income families with young children, and implementing a universal child allowance.
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10.1515/BEJEAP-2018-0045
Using a panel data set (1997–2015) at the state level, two-way fixed effects estimates demonstrate a nonlinear relationship between minimum wages and SNAP benefits.
Using a panel data set (1997–2015) at the state level, two-way fixed effects estimates demonstrate a nonlinear relationship between minimum wages and SNAP benefits.
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10.1089/heq.2018.0094
Results: The majority of SNAP participants and nonparticipants supported increasing federal SNAP spending, policies to broaden the usage of SNAP benefits, and policies to improve the healthfulness of foods purchased with SNAP benefits.
Results: The majority of SNAP participants and nonparticipants supported increasing federal SNAP spending, policies to broaden the usage of SNAP benefits, and policies to improve the healthfulness of foods purchased with SNAP benefits.
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10.2105/AJPH.2019.305232
8% in SNAP benefit dollars, after controlling for the unemployment, poverty, and Medicaid expansions.
8% in SNAP benefit dollars, after controlling for the unemployment, poverty, and Medicaid expansions.
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