Identification of factors related to food insecurity and the implications for social determinants of health screenings.

BACKGROUND: Food insecurity and other social determinants of health are increasingly being measured at routine health care visits. Understanding the needs and behaviors of individuals or families who screen positive for food insecurity may inform the types of resources they need. The goal of this research was to identify modifiable characteristics related to endorsement of two food insecurity screener questions to better understand the resources necessary to improve outcomes. METHODS: Analysis was conducted focusing on cross-sectional survey data collected in 2015-2016 from participants (N = 442) living in urban neighborhoods in Ohio with limited access to grocery stores. Food insecurity was assessed by the endorsement of at least one of two items. These were used to categorize participants into two groups: food insecure(N = 252) or food secure (N = 190). Using logistic regression, we estimated the association between several variables and the food insecure classification. RESULTS: Those that used their own car when shopping for food had lower odds of reporting food insecurity, as did those with affirmative attitudes related to the convenience of shopping for and ease of eating healthy foods. As shopping frequency increased, the odds of food insecurity increased. Food insecurity also increased with experience of a significant life event within the past 12 months. There was an 81% increase in the odds of reporting food insecurity among participants who received Supplemental Nutrition Assistance Program benefits compared to those not receiving Supplemental Nutrition Assistance Program benefits. CONCLUSIONS: Along with referrals to SNAP, clinicians can further address screening-identified food insecurity through provision of transportation supports and linkages to other social services while collaborating on community initiatives to promote convenient and easy access to healthy foods. The needs and behaviors associated with screens indicating food insecurity also have implications for impacting other SDH, and thus, health outcomes.

Racialized Experiences Differentiate Food Security Among African American Adults.

BACKGROUND: Patterns of food security persistently vary by race, yet limited research has examined how community-specific experiences of race and racism are associated with nutritional outcomes. OBJECTIVES: This analysis describes a novel approach for classifying experiences of race and racism and explores the relationship between identified classes and measures of food security and diet quality. METHODS: Cross-sectional self-reported survey data from 306 African American adults living in two urban midwestern cities were collected in 2017-2018. Measures of racialized experiences assessed consciousness of race, perceived discrimination, and health effects of perceived discrimination. Food security was measured with a six-item screener and diet quality with the Healthy Eating Index-2010. Latent class analysis was used to generate racialized classes. Bivariate analyses were conducted to examine differences in class membership by sociodemographics and nutrition outcomes. RESULTS: Participants were majority women who were receiving Supplemental Nutrition Assistance Program benefits. Three racialized classes were identified: Class 1 reported few racialized experiences (42.8% of the sample), Class 2 was racially conscious with few experiences of discrimination (45.1%), and Class 3 was both racially conscious and affected by racialized actions (12.1%). Racialized classes were significantly different in mean household income, level of education, home ownership, and job loss in the past year. Class 3 was the least represented among those that were food secure and the most represented among those that were very low food secure. There were no differences by class in Healthy Eating Index-2010 scores. DISCUSSION: Findings offer an innovative method for measuring exposures to racism and for assessing its relationship to food security. Findings highlight heterogeneity of racialized experiences in similar contexts as well as potential root cause targets such as wages, education, home ownership, and employment that may be modulated to mitigate the effects of racism on food insecurity.

Persistence and transience of food insecurity and predictors among residents of two disadvantaged communities in South Carolina.

BACKGROUND: Little is known about patterns of household food insecurity (HFI) across more than two time points in adults in the United States, the frequency predictors of different trajectories. The distinctions between persistent and transient food insecurity trajectories may be crucial to developing effective interventions. OBJECTIVE: To characterize dominant trajectories of food security status over three time points between 2013 and 2016 and identify demographic, socioeconomic and health-related predictors of persistent and transient HFI. DESIGN: Cohort study in disadvantaged communities in South Carolina. SETTING: and subjects: 397 middle-aged participants, predominantly female, African American, living in USDA-designated food deserts. MAIN OUTCOME MEASURE: Household food insecurity over time using the 18-item USDA's Household Food Security Survey Module. STATISTICAL ANALYSES PERFORMED: Descriptive analyses of food security trajectories and multinomial regression analyses. RESULTS: At baseline (2013-2014), 61% of households reported HFI during the previous 12 months, which decreased to 54% in 2015 and to 51% in 2016. Only 27% of households were persistently food secure, 36% experienced transient and 37% persistent food insecurity. Female sex (OR 2.7, 95%CI 1.2-5.9), being married or living with a partner (OR 2.4, 95CI% 1.1-5.3) and fair health status (OR 4.4, 95%CI 2.2-8.8) were associated with increased odds of persistent food insecurity. Fair health was also a significant predictor of transient food insecurity. CONCLUSIONS: These findings suggest that future research should focus on persistent versus transient trajectories separately and that tailored interventions may be needed to make progress on alleviating food insecurity among disadvantaged communities.

Small Improvements in an Urban Food Environment Resulted in No Changes in Diet Among Residents.

Living in a low-income neighborhood with low access to healthy food retailers is associated with increased risk for chronic disease. The U.S. Healthy Food Financing Initiative (HFFI) provides resources to support the development of infrastructure to improve neighborhood food environments. This natural experiment examined a HFFI funded food hub that was designed to be implemented by a community development corporation in an urban neighborhood in Cleveland, Ohio. It was intended to increase access to affordable, local, and healthy foods; establish programs to increase social connections and support for healthy eating; and create job opportunities for residents. We used a quasi-experimental, longitudinal design to externally evaluate food hub implementation and its impact on changes to the built and social environment and dietary patterns among residents living in the intervention neighborhood (n = 179) versus those in a comparison (n = 150) neighborhood. Overall, many of the food hub components were not implemented fully, and dose and reach of the executed food hub components was low. There were statistically significant improvements in observed availability of healthy foods in the intervention neighborhood versus the comparison neighborhood. There were no changes over time in diet quality scores, total caloric intake, or fruit and vegetable intake in the intervention neighborhood. In conclusion, low dose implementation of a food hub led to small improvements in availability of healthy foods but not in dietary patterns. Findings highlight challenges to implementing a food hub in neighborhoods with low access to healthy food retailers.

Recruitment and Retention for the Evaluation of a Healthy Food Initiative in Economically Disadvantaged, Majority African American Communities.

Effective recruitment and retention supports equitable participation in research. The aim of this article is to describe recruitment and retention methods among residents of highly disadvantaged, predominantly African American communities in the southeastern United States during the evaluation of a healthy food access initiative. We proposed that active and passive recruitment methods, intensive retention strategies, community outreach and involvement, over-enrollment to anticipate attrition, and applied principles of community participation would achieve the study's recruitment and retention goals. The enrollment goal of 560 was met at 94% (n = 527), and the retention goal of 400 was achieved (n = 408).

Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder.

To examine the relationship between geographic access to Board Certified Behavior Analysts (BCBAs) among children with autism spectrum disorder (ASD) and county sociodemographic factors and state policy, we integrated publicly available data from the U.S. Department of Education's Civil Rights Data Collection, Behavior Analyst Certification Board's certificant registry, and U.S. Census. The study sample included U.S. counties and county equivalents (e.g., parishes, independent cities) in 49 states and D.C. (N = 3040). Using GIS software, we assigned BCBAs to counties based on their residence, allocated children via school districts to counties, and generated per-capita children with ASD/BCBA ratios. We distributed counties into five categories based on these ratios: no BCBAs (reference), ≥ 31, 21-30, 11-20, > 0-10. We used a generalized logit model to conduct analyses. Highly affluent and urban counties had the highest access to BCBAs with odds ratio estimates for affluence ranging from 2.26 to 5.26. County-level poverty was positively associated with access, yet this relationship was moderated by urbanicity. Race-ethnicity and healthcare insurance coverage were negatively related to access. Other variables were not significant. Targeting non-urban and less affluent counties for provider recruitment and maintenance could most improve access to BCBAs. In addition to strategies specific to BCBAs for improving geographic access, traditional strategies used for other healthcare providers could be useful.

Socioeconomic position is associated with glycemic control in youth and young adults with type 1 diabetes.

OBJECTIVE: Health inequities persist in youth and young adults (YYA) with type 1diabetes in achieving optimal glycemic control. The purpose of this study was to assess the contribution of multiple indicators of social need to these inequities. RESEARCH DESIGN AND METHODS: Two hundred and twenty two YYA withtype 1 diabetes enrolled in the SEARCH Food Insecurity Study in South Carolina and Washington between the years 2013 and 2015 were included. Latent class analysis was used to identify socioeconomic profiles based on household income, parental education, health insurance, household food insecurity, and food assistance. Profiles were evaluated in relation to glycemic control using multivariable linear and logistic regression, with HbA1c > 9%(75 mmol/mol) defined as high-risk glycemic control. RESULTS: Two profiles were identified: a lower socioeconomic profile included YYA whose parents had lower income and/or education, and were more likely to be uninsured, receive food assistance, and be food insecure. A higher socioeconomic profile included YYA whose circumstances were opposite to those in the lower socioeconomic profile. Those with a lower socioeconomic profile were more likely to have high-risk glycemic control relative to those with a higher socioeconomic profile (OR = 2.24, 95%CI = 1.16-4.33). CONCLUSIONS: Lower socioeconomic profiles are associated with high-risk glycemic control among YYA with type 1 diabetes. This supports recommendations that care providers of YYA with type 1 diabetes assess individual social needs in tailoring diabetes management plans to the social context of the patient.

Utilization of speech-language, occupational and physical therapy by diagnosis of autism spectrum disorder.

BACKGROUND: Although Medicaid coverage of treatment for children with autism spectrum disorder (ASD) is expanding, we know little about when children receive speech-language, occupational and/or physical therapy. The objective of this study was to examine the relationships between predisposing, enabling and need characteristics and utilization of speech-language, occupational and physical therapy by diagnosis of ASD. METHODS: We integrated administrative, Medicaid and Census data using a large sample of children with ASD who enrolled in a 1915(c) Home and Community Based Medicaid waiver in a south-eastern state (N = 1,968) to explore (1) the percent of treatment utilization by ASD diagnosis, (2) the type of therapy utilized and (3) the predisposing, enabling and need characteristics associated with utilization. RESULTS: The percent of utilization was 71%; 65.8% utilized SLT, 33.4% utilized OT and 18.4% utilized PT. Enabling (i.e., urbanicity, age of diagnosis and early intervention programme enrolment) and need (i.e., intellectual disability) characteristics were associated with utilization whereas predisposing social characteristics (i.e., sex and child race-ethnicity and neighbourhood racial composition, poverty and affluence) were not associated with utilization. CONCLUSIONS: Findings highlight the value in monitoring when children begin treatment. As governments in the United States and globally work to maximize children's potential, additional research that can inform efforts to facilitate earlier utilization will be key to promoting optimal outcomes.

Health care access and glycemic control in youth and young adults with type 1 and type 2 diabetes in South Carolina.

Affordability and geographic accessibility are key health care access characteristics. We used data from 481 youth and young adults (YYA) with diabetes (389 type 1, 92 type 2) to understand the association between health care access and glycemic control as measured by HbA1c values. In multivariate models, YYA with state or federal health insurance had HbA1c percentage values 0.68 higher (P = 0.0025) than the privately insured, and those without insurance 1.34 higher (P < 0.0001). Not having a routine diabetes care provider was associated with a 0.51 higher HbA1c (P = 0.048) compared to having specialist care, but HbA1c did not differ significantly (P = 0.069) between primary vs specialty care. Distance to utilized provider was not associated with HbA1c among YYA with a provider (P = 0.11). These findings underscore the central role of health insurance and indicate a need to better understand the root causes of poorer glycemic control in YYA with state/federal insurance.

Food insecurity, childhood hunger and caregiver life experiences among households with children in South Carolina, USA.

OBJECTIVE: We explored how positive and negative life experiences of caregivers are associated with household food insecurity. DESIGN: The Midlands Family Study (MFS) was a cross-sectional study with three levels of household food security: food secure, food insecure without child hunger and food insecure with child hunger. Ordinal logistic regression analysis was used for analyses of negative and positive life experiences (number, impact, type) associated with food insecurity. SETTING: An eight-county region in South Carolina, USA, in 2012-2013. PARTICIPANTS: Caregivers (n 511) in households with children. RESULTS: Caregivers who reported greater numbers of negative life experiences and greater perceived impact had increased odds of household food insecurity and reporting their children experienced hunger. Each additional negative life experience count of the caregiver was associated with a 16 % greater odds of food insecurity without child hunger and a 28 % greater odds of child hunger. Each one-unit increase in the negative impact score (e.g. a worsening) was associated with 8 % higher odds of food insecurity without child hunger and 12 % higher odds of child hunger. Negative work experiences or financial instability had the strongest association (OR = 1·8; 95 % CI 1·5, 2·2) with child hunger. Positive life experiences were generally not associated with food security status, with one exception: for each unit increase in the number of positive experiences involving family and other relationships, the odds of child hunger decreased by 22 %. CONCLUSIONS: More research is needed to understand approaches to build resilience against negative life experiences and strengthen positive familial, community and social relationships.

Factors Associated With Batterer Intervention Program Attrition.

Batterer intervention programs' (BIPs) curriculum have been criticized for their one-size-fits-all approach to rehabilitation with recent research suggesting specialized and client-centric approaches to batterer intervention may be more effective than traditional programming. Adverse childhood experiences (ACEs) have been examined as a risk factor for intimate partner violence (IPV) perpetration and numerous studies suggest a relationship between ACEs and low mental health treatment engagement. However, absent from the conversation is how ACEs may influence BIP treatment engagement and more specifically how ACEs influence BIP program attendance and attrition. The current study used administrative data from a sample of 268 men enrolled in a county-operated BIP to explore this question. BIP participants who experienced any ACEs, only household dysfunction ACEs, and/or both household dysfunction ACEs and child abuse/neglect ACEs had decreased odds of BIP attrition compared to participants with no ACEs. These findings have practical implications regarding screening, service delivery, and BIP curricula and highlight additional research needed on this topic.

What does a person's eating identity add to environmental influences on fruit and vegetable intake?

OBJECTIVE: To evaluate whether knowledge of a person's eating identity (EI) can explain any additional variation in fruit and vegetable intake above and beyond that explained by food environment characteristics, perceptions of the food environment, and shopping behaviors. DESIGN: Cross-sectional study. SETTING: A total of 968 adults were recruited for a telephone survey by the Survey Research Laboratory in an eight-county region in South Carolina. SUBJECTS: The survey queried information on shopping behaviors, perceptions of the food environment, demographic and address information, fruit and vegetable intake, and EI. EI was assessed using the Eating Identity Type Inventory, a 12-item instrument that differentiates four eating identity types: healthy, emotional, meat, and picky. Statistical analyses were restricted to 819 participants with complete data. RESULTS: Healthy EI and picky EI were significantly and directly related to fruit and vegetable intake, with coefficients of 0.31 (p-value<0.001) for healthy EI and -0.16 (p-value<0.001) for picky EI, whereas emotional EI (ß = 0.00, p-value = 0.905) and meat EI (ß = -0.04, p-value = 0.258) showed no association. Shopping frequency also directly and significantly influenced fruit and vegetable intake (ß = 0.13, p-value = 0.033). With the inclusion of EI, 16.3% of the variation in fruit and vegetable intake was explained. CONCLUSIONS: Perceptions and GIS-based measures of environmental factors alone do not explain a substantial amount of variation in fruit and vegetable intake. EI, especially healthy EI and picky EI, is an important, independent predictor of fruit and vegetable intake and contributes significantly to explaining the variation in fruit and vegetable intake.

Geographic measures of retail food outlets and perceived availability of healthy foods in neighbourhoods.

OBJECTIVE: To examine associations between geographic measures of retail food outlets and perceived availability of healthy foods. DESIGN: Cross-sectional. SETTING: A predominantly rural, eight-county region of South Carolina, USA. SUBJECTS: Data from 705 household shoppers were analysed using ordinary least-squares regression to examine relationships between geographic measures (presence and distance) of food outlets obtained via a geographic information system and perceived availability of healthy foods (fresh fruits and vegetables and low-fat foods). RESULTS: The presence of a supermarket within an 8·05 km (5-mile) buffer area was significantly associated with perceived availability of healthy foods (ß=1·09, P=0·025) when controlling for all other food outlet types. However, no other derived geographic presence measures were significant predictors of perceived availability of healthy foods. Distances to the nearest supermarket (ß=-0·16, P=0·003), dollar and variety store (ß=-0·15, P=0·005) and fast-food restaurant (ß=0·11, P=0·015) were all significantly associated with perceptions of healthy food availability. CONCLUSIONS: Our results suggest that distance to food outlets is a significant predictor of healthy food perceptions, although presence is sensitive to boundary size. Our study contributes to the understanding and improvement of techniques that characterize individuals' food options in their community.

Perceived and geographic food access and food security status among households with children.

OBJECTIVE: To examine the association of both perceived and geographic neighbourhood food access with food security status among households with children. DESIGN: This was a cross-sectional study in which participants' perceptions of neighbourhood food access were assessed by a standard survey instrument, and geographic food access was evaluated by distance to the nearest supermarket. Multinomial logistic regression models were used to examine the associations. SUBJECTS: The Midlands Family Study included 544 households with children in eight counties in South Carolina, USA. Food security status among participants was classified into three categories: food secure (FS), food insecure (FI) and very low food security among children (VLFS-C). RESULTS: Compared with FS households, VLFS-C households had lower odds of reporting easy access to adequate food shopping. VLFS-C households also had lower odds of reporting neighbourhood access to affordable fruits and vegetables compared with FS households and reported worse selection of fruits and vegetables, quality of fruits and vegetables, and selection of low-fat products. FI households had lower odds of reporting fewer opportunities to purchase fast food. None of the geographic access measures was significantly associated with food security status. CONCLUSIONS: Caregivers with children who experienced hunger perceived that they had less access to healthy affordable food in their community, even though grocery stores were present. Approaches to improve perceived access to healthy affordable food should be considered as part of the overall approach to improving food security and eliminating child hunger.

Neighborhood fast food availability and fast food consumption.

Recent nutritional and public health research has focused on how the availability of various types of food in a person's immediate area or neighborhood influences his or her food choices and eating habits. It has been theorized that people living in areas with a wealth of unhealthy fast-food options may show higher levels of fast-food consumption, a factor that often coincides with being overweight or obese. However, measuring food availability in a particular area is difficult to achieve consistently: there may be differences in the strict physical locations of food options as compared to how individuals perceive their personal food availability, and various studies may use either one or both of these measures. The aim of this study was to evaluate the association between weekly fast-food consumption and both a person's perceived availability of fast-food and an objective measure of fast-food presence - Geographic Information Systems (GIS) - within that person's neighborhood. A randomly selected population-based sample of eight counties in South Carolina was used to conduct a cross-sectional telephone survey assessing self-report fast-food consumption and perceived availability of fast food. GIS was used to determine the actual number of fast-food outlets within each participant's neighborhood. Using multinomial logistic regression analyses, we found that neither perceived availability nor GIS-based presence of fast-food was significantly associated with weekly fast-food consumption. Our findings indicate that availability might not be the dominant factor influencing fast-food consumption. We recommend using subjective availability measures and considering individual characteristics that could influence both perceived availability of fast food and its impact on fast-food consumption. If replicated, our findings suggest that interventions aimed at reducing fast-food consumption by limiting neighborhood fast-food availability might not be completely effective.

Advanced Math Course Taking: Effects on Math Achievement and College Enrollment.

Using data from the Educational Longitudinal Study of 2002-2006 (ELS:02/06), this study investigated the effects of advanced math course taking on math achievement and college enrollment and how such effects varied by socioeconomic status (SES) and race/ethnicity. Results from propensity score matching and sensitivity analyses showed that advanced math course taking had positive effects on math achievement and college enrollment. Results also demonstrated that the effect of advanced math course taking on math achievement was greater for low SES students than for high SES students, but smaller for Black students than for White students. No interaction effects were found for college enrollment. Limitations, policy implications, and future research directions are discussed.

Environmental influences on fruit and vegetable intake: results from a path analytic model.

OBJECTIVE: Fruit and vegetable (F&V) intake is influenced by behavioural and environmental factors, but these have rarely been assessed simultaneously. We aimed to quantify the relative influence of supermarket availability, perceptions of the food environment and shopping behaviour on F&V intake. DESIGN: A cross-sectional study. SETTING: Eight counties in South Carolina, USA, with verified locations of all supermarkets. SUBJECTS: A telephone survey of 831 household food shoppers ascertained F&V intake with a seventeen-item screener, primary food store location, shopping frequency and perceptions of healthy food availability, and supermarket availability was calculated with a geographic information system. Path analysis was conducted. We report standardized beta coefficients on paths significant at the 0·05 level. RESULTS: Frequency of grocery shopping at primary food store (ß = 0·11) was the only factor exerting an independent, statistically significant direct effect on F&V intake. Supermarket availability was significantly associated with distance to utilized food store (ß = -0·24) and shopping frequency (ß = 0·10). Increased supermarket availability was significantly and positively related to perceived healthy food availability in the neighbourhood (ß = 0·18) and ease of shopping access (ß = 0·09). Collectively considering all model paths linked to perceived availability of healthy foods, this measure was the only other factor to have a significant total effect on F&V intake. CONCLUSIONS: While the majority of the literature to date has suggested an independent and important role of supermarket availability for F&V intake, our study found only indirect effects of supermarket availability and suggests that food shopping frequency and perceptions of healthy food availability are two integral components of a network of influences on F&V intake.

The effects of out-of-school time on changes in youth risk of obesity across the adolescent years.

This study examined the longitudinal effects of out-of-school time (OST) activities on youth weight-status through mid-to-late adolescence. First, using pattern-centered methods, we identified the prominent ways in which youth allocate their OST across 12 common active and sedentary activities available to them. Second, through multi-level modeling procedures we examined the relation of OST activity patterns to: 1) BMI-status during the 11th grade, and; 2) within-person change in BMI-status across the adolescent years. After accounting for race, gender, SES, pubertal-status, and gaming, youth who participated in a sports-dominant activity pattern for 2 or more years had significantly lower 11th grade odds of being at-risk for overweight/obesity compared to youth in all other activity patterns. Youth of all other activity patterns had similar odds of being at-risk as Low-Activity youth and each other. Understanding the relations of OST to youth healthy weight is a critical first step in developing healthy OST settings.

Factor Structure of the Teacher Strengths and Difficulties Questionnaire in a Large Community-Based Sample: An Investigation of Alternative Measurement Models.

The Strengths and Difficulties Questionnaire (SDQ) is a screening measure commonly used to assess behavioral and emotional symptoms and strengths among children and adolescents. However, despite its frequent use, its underlying factor structure remains an important area of inquiry. Whereas the original five-factor structure has often been supported through exploratory factor analysis, results from confirmatory analyses continue to yield mixed results. We analyzed data from youth in Grades K through 12 from a large epidemiologic study in the Southeastern United States. Teacher-report SDQ data were used to test three confirmatory factor models by school level (i.e., elementary [Grades K-5] and secondary [Grades 6-12]): The original five-factor model, a three-factor model, and a bifactor model. Model fit indices and reliability measures supported the original five-factor model as the preferred model when using the teacher-reported SDQ with both elementary and secondary school children. Implications for using the SDQ in applied research and predictive modeling are discussed.

The Eating Identity Type Inventory (EITI). Development and associations with diet.

People with healthy eating identities report healthier diets and demonstrate greater receptivity to nutrition interventions, but other types of eating identity are likely important. We developed the Eating Identity Type Inventory (EITI) to assess affinity with four eating identity types; healthy, meat, picky, and emotional. This study assessed factorial validity, using confirmatory factor analysis (CFA) and established reliability and convergent validity of the EITI. In a telephone survey, 968 primary household food shoppers completed the EITI and a dietary questionnaire; 101 repeated the EITI approximately 1month later.CFA revealed that an 11-item model provided acceptable fit (χ(2)=206; df=38), CFI=.938, NNFI=.925, RMSEA=.070; SRMR=.059). The EITI demonstrated acceptable internal consistencies with Cronbach alpha's ranging from .61 to .82 and good test-retest reliability for healthy, emotional, and picky types (Pearson's correlations ranging from .78 to .84). Ordinary Least Squares (OLS) used to assess relationships between eating identity type and diet analyses demonstrated significant hypothesized relationships between healthy eating identity and healthier dietary intake and meat and picky eating identities and less healthy dietary intake. The EITI could facilitate behavioral and cognitive research to yield important insights for ways to more effectively design messages, interventions, and policies to promote healthy dietary behaviors.