Benefits of using both the Hunger Vital Sign and brief nutrition security screener in health-related social needs screening.

Food security is a commonly screened for health-related social need at hospitals and community settings, and until recently, there were no tools to additionally screen for nutrition security. The purpose of this study was to assess the potential advantage of including a one-item brief nutrition security screener (BNSS) alongside the commonly used two-item Hunger Vital Sign (HVS) food security screener for identifying individuals with diet-related health risks. Cross-sectional survey data were collected from April to June 2021. Generalized linear mixed models were used to assess associations between screening status and dietary and health variables. Recruitment was done across five states (California, Florida, Maryland, North Carolina, and Washington) from community-based organizations. Participants (n = 435) were, on average, 44.7 years old (SD = 14.5), predominantly women (77%), and racially/ethnically diverse. In adjusted analyses, being in the food insecure and nutrition insecure group (but not the food insecure and nutrition secure or food secure and nutrition insecure groups) was associated with significantly increased odds for self-reported "fair" or "poor" general health [OR = 2.914 (95% CI = 1.521-5.581)], reporting at least one chronic condition [2.028 (1.024-4.018)], and "low" fruit and vegetable intake [2.421 (1.258-4.660)], compared with the food secure and nutrition secure group. These findings support using both the HVS and BNSS simultaneously in health-related social needs screening to identify participants at the highest risk for poor dietary and health outcomes and warrant further investigation into applying these screeners to clinical and community settings.

Food security and nutrition security are related to a household's ability to get enough food and to get food that is good for their health, respectively. Patients at hospitals, or clients who go to food pantries for help, are often asked about their food security status. This is referred to as screening. On the basis of their answers, they may get help such as referral to a food pantry and/or consultation with a dietitian. While there is a standard tool to screen for food security status, until recently, there has not been one for nutrition security. We used both the commonly used Hunger Vital Sign (HVS) food security screener and the newly developed brief nutrition security screener to identify food and nutrition security screening status. Being in the food insecure and nutrition insecure groups (but not the food insecure and nutrition secure or food secure and nutrition insecure groups) was associated with significantly increased odds for poor dietary and health outcomes. These findings support using both the HVS and brief nutrition security screener simultaneously in health-related social needs screening to identify participants at the highest risk.

Digital Interventions to Modify Skin Cancer Risk Behaviors in a National Sample of Young Adults: Randomized Controlled Trial.

BACKGROUND: Young adults engage in behaviors that place them at risk for skin cancer. Dissemination of digital health promotion interventions via social media is a potentially promising strategy to modify skin cancer risk behaviors by increasing UV radiation (UVR) protection and skin cancer examinations. OBJECTIVE: This study aimed to compare 3 digital interventions designed to modify UVR exposure, sun protection, and skin cancer detection behaviors among young adults at moderate to high risk of skin cancer. METHODS: This study was a hybrid type II effectiveness-implementation randomized controlled trial of 2 active interventions, a digital skin cancer risk reduction intervention (UV4.me [basic]) compared with an enhanced version (UV4.me2 [enhanced]), and an electronic pamphlet (e-pamphlet). Intervention effects were assessed over the course of a year among 1369 US young adults recruited primarily via Facebook and Instagram. Enhancements to encourage intervention engagement and behavior change included more comprehensive goal-setting activities, ongoing proactive messaging related to previously established mediators (eg, self-efficacy) of UVR exposure and protection, embedded incentives for module completion, and ongoing news and video updates. Primary outcome effects assessed via linear regression were UVR exposure and sun protection and protection habits. Secondary outcome effects assessed via logistic regression were skin self-exams, physician skin exams, sunscreen use, indoor tanning, and sunburn. RESULTS: The active interventions increased sun protection (basic: P=.02; enhanced: P<.001) and habitual sun protection (basic: P=.04; enhanced P=.01) compared with the e-pamphlet. The enhanced intervention increased sun protection more than the basic one. Each active intervention increased sunscreen use at the 3-month follow-up (basic: P=.03; enhanced: P=.01) and skin self-exam at 1 year (basic: P=.04; enhanced: P=.004), compared with the e-pamphlet. Other intervention effects and differences between the Basic and Enhanced Intervention effects were nonsignificant. CONCLUSIONS: The active interventions were effective in improving several skin cancer risk and skin cancer prevention behaviors. Compared with the basic intervention, the enhanced intervention added to the improvement in sun protection but not other behaviors. Future analyses will explore intervention engagement (eg, proportion of content reviewed). TRIAL REGISTRATION: ClinicalTrials.gov NCT03313492; http://clinicaltrials.gov/ct2/show/NCT03313492.

Early childhood executive control modulates negative affectivity's role in increasing adolescent body mass index trajectories.

BACKGROUND: Executive control and temperament have been associated with pediatric obesity. However, interactions between these constructs in relation to future weight outcomes have not been investigated. OBJECTIVE: This longitudinal study examined early childhood executive control, early temperament (negative affectivity and surgency), and their interactions as predictors of adolescent BMI trajectories. METHODS: At age 5.25, children (N = 229) completed executive control tasks, and parents completed the Child Behavior Questionnaire to assess temperament. BMI was calculated annually between ages 14-17. RESULTS: Greater early negative affectivity predicted more positive BMI growth. Although early childhood executive control was not associated with BMI growth, greater negative affectivity predicted greater BMI escalation at average and below average executive control abilities. CONCLUSIONS: For children without robust executive control abilities early in development, negative affectivity may be a risk factor for accelerated adolescent BMI growth. Targeted assessment of early risk factors may be useful for childhood obesity prevention efforts.

E-health Dietary Interventions for Participants of SNAP and WIC: A Systematic Review.

The migration of federal assistance services to online platforms during the COVID-19 pandemic sparked interest in digital nutrition education for individuals participating in the Supplemental Nutrition Assistance Program (SNAP) and Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) programs. With federal government investing in the modernization of the nutrition education components of both programs, there is a need to identify science-backed electronic health (e-health) dietary interventions to improve health outcomes in this population. Therefore, the objective of this systematic literature review was to summarize the effectiveness, acceptability, and feasibility of e-health dietary interventions among individuals participating in WIC or SNAP. Keyword searches were performed in Google Scholar, PubMed, and Science Direct. The search included peer-reviewed literature from 2014 to 2023 and a few articles offering context about interventions used long-term by the nutrition assistance programs. PRISMA guidelines were followed to conduct this systematic literature review, which resulted in 36 articles eligible for extraction. The studies evaluated e-health (52.8%), short message service/text messaging (27.8%), and smartphone application interventions (19.4%) delivered to WIC or SNAP participants. The interventions identified aimed to modify food choice, eating behavior, and dietary intake among SNAP participants, SNAP-eligible adults, and WIC participants. Most interventions were developed using content delivery and health behavior theoretical frameworks (77.8%) and evidence-based nutritional recommendations (59.3%). Review findings show a high level of acceptability and feasibility for e-health and mobile health dietary interventions among WIC and SNAP participants but varying levels of effectiveness. Level of engagement, dosage, retention, and adherence were strong predictors of positive dietary behavior change regardless of the mode of intervention delivery. Future studies need to prioritize health equity by recruiting samples representative of food nutrition assistance participants and addressing digital health literacy as a potential barrier to intervention effectiveness, as none of the present studies measured literacy among participants.

How does eligibility for GusNIP produce prescriptions relate to fruit and vegetable purchases and what factors shape the relationship? A protocol for a secondary analysis of nationally representative data in the USA.

INTRODUCTION: US Department of Agriculture (USDA) Gus Schumacher Nutrition Incentive Programme (GusNIP) produce prescription programme (PPR) 'prescriptions' provide eligible participants with low income, risk for diet-related chronic disease and food insecurity a healthcare issued incentive to purchase lower to no cost fruits and vegetables (FVs). However, GusNIP requirements specify that PPR prescriptions can only be redeemed for fresh (not frozen, canned or dried) FVs. This requirement may prevent participants from fully engaging in or benefiting from GusNIP PPR, given communities with lower healthy food access may have reduced fresh FV accessibility. METHODS AND ANALYSIS: We will use the nationally representative 2012-2013 National Household Food Acquisition and Purchase Survey (FoodAPS) and complementary FoodAPS Geography Component data in a secondary data analysis to examine how household GusNIP PPR eligibility relates to the quantity and variety of fresh, frozen, canned and dried FV purchases and to what extent individual, household and food environment factors shape the relationship. FoodAPS data include household food purchasing and acquisition information across a 7 day period from 14 317 individuals among 4826 households and was collected between April 2012 and January 2013. The FoodAPS Geography Component provides information about the local community/environment relative to FoodAPS households. This study will examine the correlation or association of selected variables between different quantities and varieties of fresh, frozen, canned and dried FVs, as well as correlations among multilevel predictors. ETHICS AND DISSEMINATION: We are following data integrity standards as outlined by agreements with the USDA Economic Research Service. All results of analyses will undergo a thorough disclosure review to ensure no identifiable data are shared. Results will be disseminated to research, practice and policy communities using an Open Access peer-reviewed manuscript(s), scientific and practice presentations, and a public facing report and infographic.

Implementation of Food is Medicine Programs in Healthcare Settings: A Narrative Review.

Food is Medicine (FIM) programs to improve the accessibility of fruits and vegetables (FVs) or other healthy foods among patients with low income and diet-related chronic diseases are promising to improve food and nutrition security in the United States (US). However, FIM programs are relatively new and implementation guidance for healthcare settings using an implementation science lens is lacking. We used a narrative review to describe the evidence base on barriers and facilitators to FIM program integration in US healthcare settings following the Exploration, Preparation, Implementation, and Sustainment (EPIS) Framework. Evidence surrounding the EPIS Inner Context was a focus, including constructs Leadership, Organizational Characteristics, Quality and Fidelity Monitoring and Support, Organizational Staffing Processes, and Individual Characteristics. Peer-reviewed and grey literature about barriers and facilitators to FIM programs were of interest, defined as programs that screen and refer eligible patients with diet-related chronic disease experiencing food insecurity to healthy, unprepared foods. Thirty-one sources were included in the narrative review, including 22 peer-reviewed articles, four reports, four toolkits, and one thesis. Twenty-eight sources (90%) described EPIS Inner Context facilitators and 26 sources (84%) described FIM program barriers. The most common barriers and facilitators to FIM programs were regarding Quality and Fidelity Monitoring and Support (e.g., use of electronic medical records for tracking and evaluation, strategies to support implementation) and Organizational Staffing Processes (e.g., clear delineation of staff roles and capacity); although, barriers and facilitators to FIM programs were identified among all EPIS Inner Context constructs. We synthesized barriers and facilitators to create an EPIS-informed implementation checklist for healthcare settings for use among healthcare organizations/providers, partner organizations, and technical assistance personnel. We discuss future directions to align FIM efforts with implementation science terminology and theories, models, and frameworks to improve the implementation evidence base and support FIM researchers and practitioners.

Developing and testing a produce prescription implementation blueprint to improve food security in a clinical setting: a pilot study protocol.

BACKGROUND: Food insecurity is common in the United States, especially in Rhode Island, where it affects up to 33% of residents. Food insecurity is associated with adverse health outcomes and disproportionally affects people from minoritized backgrounds. Produce prescription programs, in which healthcare providers write "prescriptions" for free or reduced cost vegetables, have been used to address food insecurity and diet-related chronic disease. Although there is growing evidence for the effectiveness of produce prescription programs in improving food security and diet quality, there have been few efforts to use implementation science methods to improve the adoption of these programs. METHODS: This two-phase pilot study will examine determinants and preliminary implementation and effectiveness outcomes for an existing produce prescription program. The existing program is funded by an Accountable Care Organization in Rhode Island and delivered in primary care practices. For the first phase, we conducted a formative evaluation, guided by the Consolidated Framework for Implementation Research 2.0, to assess barriers, facilitators, and existing implementation strategies for the produce prescription program. Responses from the formative evaluation were analyzed using a rapid qualitative analytic approach to yield a summary of existing barriers and facilitators. In the second phase, we presented our formative evaluation findings to a community advisory board consisting of primary care staff, Accountable Care Organization staff, and staff who source and deliver the vegetables. The community advisory board used this information to identify and refine a set of implementation strategies to support the adoption of the program via an implementation blueprint. Guided by the implementation blueprint, we will conduct a single-arm pilot study to assess implementation antecedents (i.e., feasibility, acceptability, appropriateness, implementation climate, implementation readiness), implementation outcomes (i.e., adoption), and preliminary program effectiveness (i.e., food and nutrition security). The first phase is complete, and the second phase is ongoing. DISCUSSION: This study will advance the existing literature on produce prescription programs by formally assessing implementation determinants and developing a tailored set of implementation strategies to address identified barriers. Results from this study will inform a future fully powered hybrid type 3 study that will use the tailored implementation strategies and assess implementation and effectiveness outcomes for a produce prescription program. TRIAL REGISTRATION: Clinical trials: NCT05941403 , Registered June 9, 2023.

Perspective: Leveraging Electronic Health Record Data Within Food Is Medicine Program Evaluation: Considerations and Potential Paths Forward.

Government, health care systems and payers, philanthropic entities, advocacy groups, nonprofit organizations, community groups, and for-profit companies are presently making the case for Food is Medicine (FIM) nutrition programs to become reimbursable within health care services. FIM researchers are working urgently to build evidence for FIM programs' cost-effectiveness by showing improvements in health outcomes and health care utilization. However, primary collection of this data is costly, difficult to implement, and burdensome to participants. Electronic health records (EHRs) offer a promising alternative to primary data collection because they provide already-collected information from existing clinical care. A few FIM studies have leveraged EHRs to demonstrate positive impacts on biomarkers or health care utilization, but many FIM studies run into insurmountable difficulties in their attempts to use EHRs. The authors of this commentary serve as evaluators and/or technical assistance providers with the United States Department of Agriculture's Gus Schumacher Nutrition Incentive Program National Training, Technical Assistance, Evaluation, and Information Center. They work closely with over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects, which, as of 2023, span 34 US states and territories. In this commentary, we describe recurring challenges related to using EHRs in FIM evaluation, particularly in relation to biomarkers and health care utilization. We also outline potential opportunities and reasonable expectations for what can be learned from EHR data and describe other (non-EHR) data sources to consider for evaluation of long-term health outcomes and health care utilization. Large integrated health systems may be best positioned to use their own data to examine outcomes of interest to the broader field.

Implementation and Impact of Perinatal Food Is Medicine Programs: A Qualitative Research Study.

BACKGROUND: Improving social determinants of health, such as access to nutritious food, is crucial for achieving health equity. Nutrition insecurity, especially during pregnancy and postpartum, can lead to poor maternal and birth outcomes. Food is Medicine (FIM) programs, which integrate food into the health care system to prevent or manage disease, have the potential to improve nutrition insecurity, but research about perinatal FIM programs is limited. OBJECTIVE: The purpose of this study was to explore perceptions of public health impacts of perinatal FIM programs from the perspectives of both program implementers and program supporters and implementation strategies used to enhance program adoption, implementation, and maintenance. DESIGN: Qualitative data were collected through semi-structured interviews. The interview guide was based on the Reach, Effectiveness, Adoption, Implementation, Maintenance framework. PARTICIPANTS/SETTING: Program implementers (n = 16) and program supporters (n = 20) were recruited across the United States through purposive sampling in 2022 and 2023. ANALYSIS: Data were analyzed using deductive thematic analysis and an iterative feedback loop with the project partner. RESULTS: Interviews were completed with program implementers and program supporters and generated meaning units (n = 1,942), which were coded into themes aligned with each Reach, Effectiveness, Adoption, Implementation, Maintenance dimension. Perinatal FIM programs reached multiple priority populations who were mainly recruited through health care systems. Effectiveness measures typically included nutrition patterns and practices, as well as return on investment. Motivations for adopting programs primarily included partnerships and connections, financing, and policies and laws. Program components varied and were adapted to meet participants and setting needs. Policy, evidence, funding, and partnerships could lead to program maintenance. Implementation strategies applied by the program supporters included financial strategies and infrastructure changes. CONCLUSIONS: There is a need to identify the core functions and adaptable forms of perinatal FIM programs, which could lead to identification of standard evaluation metrics. This could result in greater uptake by potential delivery agents, increased funding and policy support, and enhanced benefits for perinatal population experiencing health disparities.

Prioritize "Food is Medicine" initiatives in the 2024 Farm Bill for human and planetary health.

The Society of Behavioral Medicine (SBM) supports increased funding for policies in the 2024 Farm Bill that align with a Food is Medicine (FIM) framework and address multiple dimensions of human and planetary health.

The Society of Behavioral Medicine (SBM) supports funding for policies in 2024 Farm Bill that align with a Food is Medicine (FIM) framework and address multiple dimensions of human and planetary health. Recommendations include increasing funding for produce prescription programs, establishing systems to align federal- and state-funded initiatives, and the allocation of funding for financial incentives when sustainable agricultural practices are utilized in government-funded local and regional farm-to-institution programs.

Exploring the Interaction Between Preschool Executive Control and Caregiver Emotion Socialization in Predicting Adolescent Weight Trajectories.

There is a critical need for research examining how neural vulnerabilities associated with obesity, including lower executive control, interact with family factors to impact weight trajectories across adolescence. Utilizing a longitudinal design, the present study investigated caregivers' emotion socialization practices as a moderator of the association between preschool executive control and adolescent body mass index (BMI) trajectories. Participants were 229 youth (Mage = 5.24, SD = 0.03; 47.2% assigned female at birth; 73.8% White, 3.9% Black, 0.4% Asian American, 21.8% multiracial; 12.7% Hispanic) enrolled in a longitudinal study. At preschool-age, participants completed performance-based executive control tasks, and their caregivers reported on their typical emotion-related socialization behaviors (i.e., supportive and nonsupportive responses to children's negative emotions). Participants returned for annual laboratory visits at ages 14 through 17, during which their height and weight were measured to calculate BMI. Although neither preschool executive control nor caregiver emotion-related socialization behaviors were directly associated with BMI growth in adolescence, supportive responses moderated the association between executive control and BMI trajectories. The expected negative association between lower preschool executive control and greater BMI growth was present at below average levels of supportive responses, suggesting that external regulation afforded by supportive responses might reduce risk for adolescent overweight and obesity among children with lower internal self-regulatory resources during preschool. Findings highlight the importance of efforts to bolster executive control early in development and targeted interventions to promote effective caregiver emotion socialization (i.e., more supportive responses) for youth with lower internal self-regulatory abilities to mitigate risk for overweight and obesity and promote health across childhood and adolescence.

Which Program Implementation Factors Lead to more Fruit and Vegetable Purchases? An Exploratory Analysis of Nutrition Incentive Programs across the United States.

Background: Nutrition incentive (NI) programs help low-income households better afford fruits and vegetables (FVs) by providing incentives to spend on FVs (e.g., spend $10 to receive an additional $10 for FVs). NI programs are heterogeneous in programmatic implementation and operate in food retail outlets, including brick-and-mortar and farm-direct sites. Objective: This study aimed to explore NI program implementation factors and the amount of incentives redeemed. Methods: A total of 28 NI projects across the United States including 487 brick-and-mortar and 1078 farm-direct sites reported data between 2020 and 2021. Descriptive statistics and linear regression analyses (outcome: incentives redeemed) were applied. Results: Traditional brick-and-mortar stores had 0.48 times the incentives redeemed compared with small brick-and-mortar stores. At brick-and-mortar sites, automatic discounts had 3.47 times the incentives redeemed compared with physical discounts; and auxiliary services and marketing led to greater redemption. Farm-direct sites using multilingual and direct promotional marketing had greater incentives redeemed. Conclusions: To our knowledge, this is the first national study to focus on NI program implementation across sites nationwide. Factors identified can help inform future programming and research.

How the Gus Schumacher Produce Prescription Program Works: An Adaptation of a Nutrition Incentive Theory of Change.

The United States Department of Agriculture's Gus Schumacher Nutrition Incentive Program (GusNIP) supports nutrition incentive (NI) and produce prescription programs (PPRs). PPRs allow healthcare providers to "prescribe" fruits and vegetables (FVs) to patients experiencing low income and/or chronic disease(s) and who screen positive for food insecurity. We developed a Theory of Change (TOC) that summarizes how and why PPRs work, identifies what the programs hope to achieve, and elucidates the causal pathways necessary to achieve their goals. We created the PPR TOC through an iterative, participatory process that adapted our previously developed GusNIP NI TOC. The participatory process involved food and nutrition security experts, healthcare providers, PPR implementors, and PPR evaluators reviewing the existing NI TOC and suggesting modifications to accurately reflect PPRs. The resulting TOC describes the mechanisms, assumptions, rationale, and underpinnings that lead to successful and equitable outcomes. Modifications of the NI TOC centered around equity and focused on inclusion of healthcare as an additional partner and the importance of health and healthcare utilization as outcomes. The TOC describes how the GusNIP PPR program reaches its goals. This understanding will be useful for PPR developers, implementers, funders, and evaluators for describing the pathways, assumptions, and foundations of successful PPRs.

New measures to assess the "Other" three pillars of food security-availability, utilization, and stability.

BACKGROUND: In recent reviews of available measures, no existing measures assessed all four pillars of food security and most only assessed one or two pillars-predominantly the access pillar. The purpose of this study was to preliminarily develop novel measures of availability, utilization, and stability that are complementary to the USDA's household food security survey measure (HFSSM). METHODS: A formative phase included an expert advisory group, literature scans, and interviews with individuals experiencing food insecurity. From April-June 2021, the new measures were piloted in five states (California, Florida, Maryland, North Carolina, and Washington). The cross-sectional pilot survey included the new measures (perceived limited availability, utilization barriers, and food insecurity stability), scales and items for validation (e.g., food security, and self-reported dietary and health outcomes), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal consistency was assessed using Kuder-Richardson formula 21 (KR21), and convergent and discriminant validity were assessed using Spearman's correlation coefficients. Also, a brief screener version was created for the utilization barriers measure that may be necessary for certain applications (e.g., clinical intake screening to inform referrals to assistance programs). RESULTS: The analytic samples (perceived limited availability (n = 334); utilization barriers (n = 428); food insecurity stability (n = 445)) were around 45 years old on average, most households had children, over two-thirds were food insecure, over three-fourths were women, and the samples were racially/ethnically diverse. All items loaded highly and unambiguously to a factor (factor loadings range 0.525-0.903). Food insecurity stability showed a four-factor structure, utilization barriers showed a two-factor structure, and perceived limited availability showed a two-factor structure. KR21 metrics ranged from 0.72 to 0.84. Higher scores for the new measures were generally associated with increased food insecurity (rhos = 0.248-0.497), except for one of the food insecurity stability scores. Also, several of the measures were associated with statistically significantly worse health and dietary outcomes. CONCLUSIONS: The findings support the reliability and construct validity of these new measures within a largely low-income and food insecure sample of households in the United States. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may be used in various applications to promote a more comprehensive understanding of the food insecurity experience. Such work can help inform novel intervention approaches to address food insecurity more fully.

Preschool Executive Control, Temperament, and Adolescent Dietary Behaviors.

BACKGROUND: Child temperament styles characterized by increased emotionality or pleasure seeking may increase risk for less healthful eating patterns, while strong executive control (EC) may be protective. The interaction of these characteristics with longitudinal outcomes has not yet been examined. PURPOSE: The aim of this study was to examine the association of preschool temperament and EC, as well as their interaction with adolescent eating. METHODS: Preschoolers (N = 313) were recruited into a longitudinal study, with behavioral measurement of EC at age 5.25 years, temperament assessed multiple times across preschool, and eating outcomes assessed in adolescence (mean age = 15.34 years). RESULTS: Separate latent moderated structural equation models demonstrated that weaker EC was associated with eating less healthful foods, including high sugar foods, sugar-sweetened beverages (SSBs), and convenience foods (p < .05). In the moderation models, negative affectivity temperament was correlated with eating less healthful foods, high sugar foods, and SSBs (p < .05). Children lower in surgency/extraversion temperament were more likely to drink SSBs. There was an interaction between temperament and EC, such that children high in negative affectivity with weaker EC were particularly more likely to consume less healthful foods, high sugar foods, and SSBs (p < .05). There was no interaction of surgency with EC and food consumption. CONCLUSIONS: Child characteristics measured early in development were associated with later adolescent eating behaviors. Adequate EC could be necessary to counteract the drive toward eating associated with temperaments high in negative affectivity.

A preschool temperament style called Negative Affectivity, characterized by high levels of reactivity and negative emotion, predicted eating patterns a decade later. These children were more likely to eat less healthful foods and drink sugary drinks as adolescents. Strong executive function skills were important for redirecting toward healthful eating in children with Negative Affectivity.

The Diet Quality of Food-Insecure Australian Adults-A Nationally Representative Cross-Sectional Analysis.

Poor diet quality exacerbates risks for acute and chronic conditions. People experiencing food insecurity have an increased likelihood of lower diet quality; however, this has not been investigated in the Australian context. The aim of this cross-sectional study was to examine whether the diet quality of Australian adults differed according to their household food security status. Data were analysed from a nationally representative sample (≥19 years; n = 9115) collected as part of the National Nutrition and Physical Activity Survey 2011-12. Household food security status and socio-demographic and health characteristics were assessed using data from an 18-module health interview. A 24 h dietary recall was used to estimate food and nutrient intakes and to calculate the Dietary Guidelines Index (DGI). DGI is a food-based score (0 to 130) that assesses adherence to the 2013 Australian Dietary Guidelines. Survey-weighted linear regression models, adjusted for age and sex, were used to examine diet quality (total DGI and component scores), and total energy and nutrient intake by food security status. Adults from food-insecure households had a mean total DGI score 3.5 points lower (95% CI -5.57, -1.46) than food-secure adults (p = 0.001). Adults from households experiencing food insecurity, when compared to those who were food-secure, had several lower DGI component scores including for dietary variety (1.6 vs. 2.3, p = 0.009), fruit (3.8 vs. 5.0, p = 0.001) and vegetables (3.7 vs. 4.4, p = 0.010). Adults from food-insecure households consumed on average more carbohydrates (45.6 vs. 43.3, p = 0.004) and total sugar (21.8 vs. 19.0, p = 0.003) as a percentage of daily energy and less protein (18.5 vs. 17.2, p = 0.004), mono-unsaturated fats (11.2 vs. 11.8, p = 0.026) as a percentage of daily energy, and fibre (20.1 vs. 23.0, p = 0.003), than food-secure adults. Sub-optimal diet may be one of the contributing factors to, or outcomes of, poorer health in food-insecure populations. Food security interventions are required to better address nutrition in food-insecure households and should be tailored to the health and socio-demographic characteristics of this population.