SNAP Participants' Eating Patterns over the Benefit Month: A Time Use Perspective.
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ABSTRACT:
SUBMITTER: Hamrick KS
PROVIDER: S-EPMC4943850 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
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SNAP Participants' Eating Patterns over the Benefit Month: A Time Use Perspective.
Hamrick Karen S KS Andrews Margaret M
PloS one 20160713 7
Individuals receiving monthly benefits through the U.S. Supplemental Nutrition Assistance Program (SNAP) often fall short of food at the end of the month and some report feelings of hunger. To investigate this situation, we used time diaries from the 2006-08 American Time Use Survey and Eating & Health Module to identify the timing of days where respondents reported no eating occurrences. Analysis includes descriptive statistics, a logit model, and a simulated benefit month. We found that SNAP p ...[more]
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Project description:INTRODUCTION:The Supplemental Nutrition Assistance Program provides financial assistance for food and beverage purchases to approximately 1 in 7 Americans, with benefits distributed once monthly. Most Supplemental Nutrition Assistance Program benefits are spent early in the month, leading to decreased caloric intake later in the month. The effects of this early benefit depletion on the types of foods and beverages purchased over the course of the month is unclear. METHODS:Using individually tracked sales data from 950 participants enrolled in 2 supermarket-based RCTs in Maine (October 2015-April 2016 and October 2016-June 2017), purchases of selected food categories by Supplemental Nutrition Assistance Program participants (n=248) versus nonparticipants (n=702) in the first 2 weeks compared with the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month were examined. Analyses were completed in 2019. RESULTS:For Supplemental Nutrition Assistance Program participants, adjusted mean food spending decreased 37% from the first 2 weeks to the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month (p<0.0001) compared with a 3% decrease (p=0.02) for nonparticipants. The decline in spending by Supplemental Nutrition Assistance Program participants occurred in all examined categories: vegetables (-25%), fruits (-27%), sugar-sweetened beverages (-30%), red meat (-37%), convenience foods (-40%), and poultry (-48%). Difference-in-difference estimators comparing Supplemental Nutrition Assistance Program participants with nonparticipants were statistically significant (p<0.05) for all examined categories. CONCLUSIONS:In the second half of the Supplemental Nutrition Assistance Program benefit month, individuals reduced purchases of all examined categories. More research is needed to understand the impact of these fluctuations in spending patterns on the dietary quality of Supplemental Nutrition Assistance Program participants.
| S-EPMC6876700 | biostudies-literature
Project description:BACKGROUND: Following the World Health Organization Forum in November 2007, the Beijing Declaration recognized the importance of food safety along with the rights of all individuals to a safe and adequate diet. The aim of this study is to retrospectively analyze the patterns in food alert and recall by countries to identify the principal hazard generators and gatekeepers of food safety in the eleven months leading up to the Declaration. METHODS: The food recall data set was collected by the Laboratory of the Government Chemist (LGC, UK) over the period from January to November 2007. Statistics were computed with the focus reporting patterns by the 117 countries. The complexity of the recorded interrelations was depicted as a network constructed from structural properties contained in the data. The analysed network properties included degrees, weighted degrees, modularity and k-core decomposition. Network analyses of the reports, based on 'country making report' (detector) and 'country reported on' (transgressor), revealed that the network is organized around a dominant core. RESULTS: Ten countries were reported for sixty per cent of all faulty products marketed, with the top 5 countries having received between 100 to 281 reports. Further analysis of the dominant core revealed that out of the top five transgressors three made no reports (in the order China > Turkey > Iran). The top ten detectors account for three quarters of reports with three > 300 (Italy: 406, Germany: 340, United Kingdom: 322). CONCLUSION: Of the 117 countries studied, the vast majority of food reports are made by 10 countries, with EU countries predominating. The majority of the faulty foodstuffs originate in ten countries with four major producers making no reports. This pattern is very distant from that proposed by the Beijing Declaration which urges all countries to take responsibility for the provision of safe and adequate diets for their nationals.
| S-EPMC2556336 | biostudies-literature
Project description:IntroductionWell-care use can positively impact adolescents' current and future health. Understanding adolescents' longitudinal well-care use is critical to determine to whom and when to target engagement strategies to improve healthcare access. This study describes prospective well-care use patterns from childhood through adolescence stratified by sex.MethodsThe sample (N=6,872) was drawn from the Child/Young Adult component of the household-based 1979 National Longitudinal Survey of Youth consisting of biological children born to female respondents (1980-1997). Well-care use (routine checkup with a doctor within last year) data were assessed from age 5 years (1986-2003) until age 17 years (1998-2015). Conducted in 2019, latent class analyses stratified by sex identified well-care use patterns reported over 7 biennial time points adjusted for cohort, race/ethnicity, urbanicity, maternal education, and insurance.ResultsA total of 4 well-care use classes emerged for female adolescents: the majority belonged to Engaged (37%) and Moderately Engaged (39%) classes and the remainder belonged to Gradually Re-engaged (14%) and Disengaged-with-Rebound (10%) classes. A total of 3 classes emerged for male adolescents: the majority belonged to the Persistently Disengaged (48%) class and the remainder belonged to Engaged (34%) and Gradually Re-engaged (18%) classes. For both sexes, comparing each cohort with the first, Engaged class membership increased for subsequent cohorts. Less engaged well-care use classes had more non-Hispanic White adolescents living in rural areas with lower insurance coverage. Maternal education differentiated well-care use classes for male but not for female adolescents, being higher for male adolescents in the Engaged class than in other classes.ConclusionsThese findings highlight that well-care use patterns for both sexes changed during the transition from childhood to adolescence and that class membership differed by covariates. These results suggest that sex-specific strategies may be needed to enhance adolescents' well-care use engagement over time.
| S-EPMC8068632 | biostudies-literature
Project description:BackgroundLittle is known about how individuals engage with electronic health (eHealth) interventions over time and whether this engagement predicts health outcomes.ObjectiveThe objectives of this study, by using the example of a specific type of eHealth intervention (ie, websites for smoking cessation), were to determine (1) distinct groups of log-in trajectories over a 12-month period, (2) their association with smoking cessation, and (3) baseline user characteristics that predict trajectory group membership.MethodsWe conducted a functional clustering analysis of 365 consecutive days of log-in data from both arms of a large (N=2637) randomized trial of 2 website interventions for smoking cessation (WebQuit and Smokefree), with a primary outcome of 30-day point prevalence smoking abstinence at 12 months. We conducted analyses for each website separately.ResultsA total of 3 distinct trajectory groups emerged for each website. For WebQuit, participants were clustered into 3 groups: 1-week users (682/1240, 55.00% of the sample), 5-week users (399/1240, 32.18%), and 52-week users (159/1240, 12.82%). Compared with the 1-week users, the 5- and 52-week users had 57% higher odds (odds ratio [OR] 1.57, 95% CI 1.13-2.17; P=.007) and 124% higher odds (OR 2.24, 95% CI 1.45-3.43; P<.001), respectively, of being abstinent at 12 months. Smokefree users were clustered into 3 groups: 1-week users (645/1309, 49.27% of the sample), 4-week users (395/1309, 30.18%), and 5-week users (269/1309, 20.55%). Compared with the 1-week users, 5-week users (but not 4-week users; P=.99) had 48% higher odds (OR 1.48, 95% CI 1.05-2.07; P=.02) of being abstinent at 12 months. In general, the WebQuit intervention had a greater number of weekly log-ins within each of the 3 trajectory groups as compared with those of the Smokefree intervention. Baseline characteristics associated with trajectory group membership varied between websites.ConclusionsPatterns of 1-, 4-, and 5-week usage of websites may be common for how people engage in eHealth interventions. The 5-week usage of either website, and 52-week usage only of WebQuit, predicted a higher odds of quitting smoking. Strategies to increase eHealth intervention engagement for 4 more weeks (ie, from 1 week to 5 weeks) could be highly cost effective.Trial registrationClinicalTrials.gov NCT01812278; https://www.clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/6yPO2OIKR).
| S-EPMC5935807 | biostudies-literature
Project description:Study objectivesConcomitant patterns of sleep aid use may provide insight for understanding the transition to chronic sleep medication use. Therefore, we sought to characterize the trajectories of concomitant natural product (NP), over-the-counter (OTC), and prescribed (Rx) sleep aid use in a population-based sample over 12-months.MethodsSelf-reported data on the use of NP, OTC, and Rx sleep aids were extracted from a Canadian longitudinal study on the natural history of insomnia (N = 3416, M age = 49.7 ± 14.7 years old; 62% women) at baseline, 6-month, and 12-month. Latent class growth modeling was used to identify latent class trajectories using MPlus Version 7. Participants completed a battery of clinical measures: Ford Insomnia Response to Stress Test, abbreviated Dysfunctional Beliefs and Attitudes about Sleep Scale, Beck Depression Inventory, Insomnia Severity Index and, the Pittsburgh Sleep Quality Index. Associations between class membership and baseline covariates were evaluated.ResultsConcurrent sleep aid use fell into six distinct latent class trajectories over a 12-month period: Minimal Use (74.5%), Rx-Dominant (11.3%), NP-Dominant (6.3%), OTC-Dominant (4.3%), Rx-NP-Dominant (2.4%), and Rx-OTC-Dominant (1.1%). The three latent classes with prominent prescribed agent use predicted greater incidence of healthcare professional consultations for their sleep (p < 0.05), poorer sleep quality (p < 0.001), elevated dysfunctional sleep beliefs (p < 0.001), and sleep reactivity (p < 0.001). Compared to the other four latent classes, clinical profiles of Rx-NP-dominant and Rx-OTC-dominant groups endorsed greater severity across measures.ConclusionsPatterns of sleep aid use may provide insight for identifying individuals who may be vulnerable to inappropriate self-medicating practices.
| S-EPMC8598195 | biostudies-literature
Project description:The federal government shutdown from 22 December 2018 to 25 January 2019 created an unprecedented disruption in Supplemental Nutrition Assistance Program (SNAP) benefits. We conducted a cross-sectional qualitative study to begin to capture how the disruption affected food security and wellbeing among a small sample of California SNAP participants. We collected data from 26 low-income adults in four focus groups in four diverse California counties. We found that participants routinely struggle to secure an adequate and healthy diet in the context of high costs of living, the shutdown and benefit disruption added to participants' stress and uncertainty and exacerbated food insecurity, and it diminished some participants' faith in government. Participants reported that, while having additional benefits in January felt like a relief from typical end-of-month deprivation, the subsequent extended gap between benefit distributions and a lack of clarity about future benefits caused cascading effects as participants later had to divert money from other expenses to buy food and faced added uncertainty about future economic stability. Additionally, the shutdown highlighted challenges related to the availability, timing, and tone of communications between participants and SNAP agencies. Participants recommended that SNAP adjust benefit and eligibility levels to better address costs of living, improve customer service, and avoid future disruptions.
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Project description:PURPOSE:Little is known about whether adolescent cigarette and e-cigarette use patterns over time differ by ethnicity. METHODS:Data were pooled from three prospective cohort studies of adolescents in California and Connecticut (baseline: 2013-2014; 12-month follow-up: 2014-2015; N = 6,258). Adjusted polytomous regression models evaluated the association of baseline exclusive ever e-cigarette use, exclusive ever cigarette use, ever use of both e-cigarettes and cigarettes (dual use) with past 30-day use at follow-up (exclusively e-cigarettes, exclusively cigarettes, dual use; no use at baseline/follow-up were the referent groups). Interaction analyses evaluated differences by race/ethnicity (Hispanic white [HW], non-Hispanic white [NHW], Other). RESULTS:A significant global interaction was observed for the association of baseline with follow-up tobacco use by ethnicity (p = .009). Among NHW participants, ever e-cigarette or cigarette users at baseline (vs. never users) had significantly higher odds of every past 30-day use tobacco use pattern at follow-up. Among HW participants, compared with never users, exclusive e-cigarette users at baseline had increased odds of continued e-cigarette use (ORexclusive e-cigarettes = 5.22; 95% confidence interval [CI]: 3.50, 7.79; ORdual use = 3.64; 95% CI: 1.62, 8.18) but not of transition to exclusive cigarette use at follow-up (ORexclusive cigarettes = 1.27; 95% CI: .47, 3.46), and HW exclusive cigarette users at baseline had greater odds of continued cigarette use (ORexclusive e-cigarettes = 12.3; 95% CI: 5.87, 25.8; ORdual use = 3.82; 95% CI: 1.06, 13.7) but not of transition to exclusive e-cigarette use at follow-up (ORexclusive cigarettes = 1.61; 95% CI: .62, 4.18). CONCLUSIONS:Findings that NHW youth report more transitional use patterns and HW youth report more stable use patterns suggest a potential for differential impacts of e-cigarettes, by ethnicity, in increasing subsequent transition to or cessation from cigarette smoking.
| S-EPMC6708763 | biostudies-literature
Project description:BackgroundLittle is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes.ObjectiveIn the context of a randomized trial comparing 2 smartphone apps for smoking cessation, this study aimed to determine distinct groups of smartphone app log-in trajectories over a 6-month period, their association with smoking cessation outcomes at 12 months, and baseline user characteristics that predict data-driven trajectory group membership.MethodsFunctional clustering of 182 consecutive days of smoothed log-in data from both arms of a large (N=2415) randomized trial of 2 smartphone apps for smoking cessation (iCanQuit and QuitGuide) was used to identify distinct trajectory groups. Logistic regression was used to determine the association of group membership with the primary outcome of 30-day point prevalence of smoking abstinence at 12 months. Finally, the baseline characteristics associated with group membership were examined using logistic and multinomial logistic regression. The analyses were conducted separately for each app.ResultsFor iCanQuit, participants were clustered into 3 groups: "1-week users" (610/1069, 57.06%), "4-week users" (303/1069, 28.34%), and "26-week users" (156/1069, 14.59%). For smoking cessation rates at the 12-month follow-up, compared with 1-week users, 4-week users had 50% higher odds of cessation (30% vs 23%; odds ratio [OR] 1.50, 95% CI 1.05-2.14; P=.03), whereas 26-week users had 397% higher odds (56% vs 23%; OR 4.97, 95% CI 3.31-7.52; P<.001). For QuitGuide, participants were clustered into 2 groups: "1-week users" (695/1064, 65.32%) and "3-week users" (369/1064, 34.68%). The difference in the odds of being abstinent at 12 months for 3-week users versus 1-week users was minimal (23% vs 21%; OR 1.16, 95% CI 0.84-1.62; P=.37). Different baseline characteristics predicted the trajectory group membership for each app.ConclusionsPatterns of 1-, 3-, and 4-week smartphone app use for smoking cessation may be common in how people engage in digital health interventions. There were significantly higher odds of quitting smoking among 4-week users and especially among 26-week users of the iCanQuit app. To improve study outcomes, strategies for detecting users who disengage early from these interventions (1-week users) and proactively offering them a more intensive intervention could be fruitful.
| S-EPMC9437788 | biostudies-literature
Project description:Agency, the attribution of authorship to an action of our body, requires the intention to carry out the action, and subsequently a match between its predicted and actual sensory consequences. However, illusory agency can be generated through priming of the action together with perception of bodily action, even when there has been no actual corresponding action. Here we show that participants can have the illusion of agency over the walking of a virtual body even though in reality they are seated and only allowed head movements. The experiment (n?=?28) had two factors: Perspective (1PP or 3PP) and Head Sway (Sway or NoSway). Participants in 1PP saw a life-sized virtual body spatially coincident with their own from a first person perspective, or the virtual body from third person perspective (3PP). In the Sway condition the viewpoint included a walking animation, but not in NoSway. The results show strong illusions of body ownership, agency and walking, in the 1PP compared to the 3PP condition, and an enhanced level of arousal while the walking was up a virtual hill. Sway reduced the level of agency. We conclude with a discussion of the results in the light of current theories of agency.
| S-EPMC4929480 | biostudies-literature
Project description:IntroductionThis paper describes methamphetamine (MA) use patterns, specifically the duration of continuing abstinence ("time to relapse") for periods averaging 5 years post-discharge from treatment for MA use, and the relationship with selected user and treatment characteristics.MethodsA sample of 350 treatment admissions from a large county substance use disorder (SUD) treatment system was randomly selected (within gender, race/ethnicity, treatment modality strata). Retrospective self-report data are from natural history interviews (NHI) conducted approximately 3 years after treatment and a follow-up of 2-3 years later. Relapse is defined as any use of MA with time as the number of months of continuous MA abstinence after treatment discharge until relapse. This outcome was constructed from a monthly MA use timeline using NHI data. A Cox model was used to examine time to relapse and predictors.ResultsSixty-one percent of the sample relapsed to MA use within 1 year after treatment discharge and 14% during years 2-5. Significant protective factors predicting longer time to relapse included having experienced serious MA-related psychiatric/behavioral problems (hazard ratio [HR]=0.75, p=0.027), longer duration of the index treatment episode (HR=0.93, p=0.001), and participating in self-help or other treatment during the post-treatment abstinence period (HR=0.29, p<0.001); risk factors for shorter time to relapse included having a parent with alcohol and/or drug use problems (HR=1.35, p=0.020) and involvement in MA sales (HR=1.48, p=0.002).ConclusionsResults contribute a long-term perspective on patterns of MA use following treatment and support a need for early post-treatment and long-term continuing care and relapse-prevention services.
| S-EPMC4550209 | biostudies-literature