Rural and Remote Food Environments and Obesity

Maternal super obesity is increasing and is associated with an increased risk of pregnancy complications-a call for concern

OBJECTIVE

This study aimed to assess the relationship of increased body mass index (BMI) with pregnancy complications.

STUDY DESIGN

We obtained data for a retrospective cohort of singleton live births using an electronic birth certificate database from 2010 to 2022. Institutional review board exemption was obtained. BMI was assessed as a continuous variable and a categorical variable with groups of BMI 18.5-29.9 kg/m2, 40-49.9 kg/m2, and ≥50 kg/m2 compared to patients with BMI 30-39.9 kg/m2. Primary outcomes were pregnancy and maternal outcomes. Secondary outcomes were neonatal outcomes. ANOVA and χ2 were used to compare continuous and categorical variables respectively, and logistic regression was used to obtain adjusted odds ratios for primary and secondary outcomes.

RESULTS

There were 223,837 patients with singleton live births with mean BMI 27.86 kg/m2. 54,385 (24.3%) had BMI 30-39.9 kg/m2, 13,299 (5.9%) had BMI 40-49.9 kg/m2, and 1,958 (0.87%) had BMI ≥50 kg/m2. Patients with BMI > 50 kg/m2 have a higher likelihood of APGAR scores <7 (aOR 1.38, 95% CI 1.05-1.83), and NICU admission or transfer out of facility (aOR 1.17, 95% CI 1.02-1.34). In the nulliparous subgroup analysis, For patients with BMI >50 kg/m2, there was a higher odds of preterm birth <37 weeks (aOR 1.57, 95% CI 1.23-2.00) and preterm birth <34 weeks (aOR 1.51 95% CI 1.00-2.30. There is also an increased odds of cesarean section in both of these BMI groups (aOR 1.68 95% CI 1.57-1.79 and aOR 2.30 95% CI 1.94-2.72).

CONCLUSION

BMI ≥ 50 kg/m2 was significantly associated with increased pregnancy complications.

Feasibility and acceptability pilot study of an online weight loss program in rural, underserved communities

Background

The purpose of this intervention was to investigate the feasibility, acceptability, and preliminary effectiveness of an online weight loss program, EMPOWER, in rural, underserved communities.

Methods

Adults with a body mass index (BMI) ≥ 25 kg/m2 living in rural counties were recruited through collaboration with University of Illinois Extension. The intervention lasted 1 year including online educations sessions, nutrition and lifestyle coaching, and diet and weight monitoring via a novel web application, MealPlot. Feasibility was measured by enrollment attainment, participant retention, online education session completion, and completion of anthropometric and dietary measures. Acceptability was measured by survey using Likert scales of satisfaction for all program components. Anthropometric measurements, 24-h dietary records, and food frequency questionnaires (FFQs) were measures of program efficacy. Additionally, two interviews were collected for program feedback.

Results

Enrollment of 16 participants was attained, however due to higher than anticipated dropout (retention 62.5%, N = 10) at 3-months, 62.5% of the education sessions were completed and 75.0% of anthropometric and dietary measures. The average satisfaction rating for the comprehensive program was 4.2/5 with lowest satisfaction being the MealPlot web application 2.7/5 (N = 11). On average a clinically significant (≥5% baseline weight) weight loss of 6.2 ± 6.0% body weight or 5.7 ± 5.3 kg and improvements to protein and fiber intake at 12 months (N = 10) were observed.

Conclusions

A novel online weight loss program showed adequate to strong feasibility and acceptability and preliminary results indicating efficacy among a pilot sample of rural residents. Future studies are required to investigate means of improving retention and reducing the burden on program collaborators.

Transcriptomics and metabolomics: Challenges of studying obesity in osteoarthritis

Objective

Obesity is a leading risk factor for both the incidence and progression of osteoarthritis (OA). Omic technologies, including transcriptomics and metabolomics are capable of identifying RNA and metabolite profiles in tissues and biofluids of OA patients. The objective of this review is to highlight studies using transcriptomics and metabolomics that contribute to our understanding of OA pathology in relation to obesity.

Design

We conducted a targeted search of PUBMED for articles, and GEO for datasets, published up to February 13, 2024, screening for those using high-throughput transcriptomic and metabolomic techniques to study human or pre-clinical animal model tissues or biofluids related to obesity-associated OA. We describe relevant studies and discuss challenges studying obesity as a disease-related factor in OA.

Results

Of the 107 publications identified by our search criteria, only 15 specifically used transcriptomics or metabolomics to study joint tissues or biofluids in obesity-related OA. Specific transcriptomic and metabolomic signatures associated with obesity-related OA have been defined in select local joint tissues, biofluids and other biological material. However, considerable challenges exist in understanding contributions of obesity-associated modifications of transcriptomes and metabolomes related to OA, including sociodemographic, anthropometric, dietary and molecular redundancy-related factors.

Conclusions

A number of additional transcriptomic and metabolomic studies are needed to comprehensively understand how obesity affects OA incidence, progression and outcomes. Integration of transcriptome and metabolome signatures from multiple tissues and biofluids, using network-based approaches will likely help to better define putative therapeutic targets that could enable precision medicine approaches to obese OA patients.

A scoping review of policies to encourage breastfeeding, healthy eating, and physical activity among rural people and places in the United States

BACKGROUND

Rural U.S. residents experience a disproportionate burden of diet and physical activity (PA) related chronic disease compared to urban residents, due to resource and economic challenges. Diverse policy approaches for chronic disease prevention have been implemented to address barriers to breastfeeding, healthy eating, and PA. Therefore, the purpose of this paper is to describe policy supports for breastfeeding, healthy eating, and/or PA occurring in rural U.S. areas.

METHODS

A scoping review was conducted March-June 2020 to identify policy, systems, and environment change approaches occurring in the rural U.S. for breastfeeding, healthy eating, and PA. Search procedures were guided by the PRISMA-ScR, Arksey and O'Malley's work (2007), and a science librarian. Medline, PubMed, Web of Science, and Agricola were used to identify peer-reviewed research. ProQuest Dissertations and Theses A&I were used to identify dissertation research. Grey literature searches included Google, Google Scholar, government pages, and public health, federal nutrition assistance program, Cooperative Extension Services, and related webpages. Policy results are reported and inclusion criteria were: (1) breastfeeding, healthy eating, and/or PA focus; (2) about policy factors; (3) specific to U.S. rural populations/places; and (4) English language. Outcomes (study/source design, objective(s), methods/measurement, setting, population characteristics, behavioral focus, policy-specific results) were extracted into a standardized Excel document.

RESULTS

Results include 122 total sources: original research, with some sources referencing multiple behaviors, (n = 74 sources: 8 breastfeeding, 41 healthy eating, 42 PA), grey literature (n = 45 sources: 16 breastfeeding, 15 healthy eating, 27 PA), and graduate research (n = 3 sources: 1 breastfeeding, 2 healthy eating, 1 PA). Breastfeeding policy initiatives included policies or programs at hospitals, increasing access to resources, and improving culture or norms at workplaces. Healthy eating policy initiatives included increasing access to healthy foods, reducing financial burden, implementing programs, food assistance programs, and healthy food prescriptions at healthcare facilities. PA policy initiatives focused on Complete Streets, joint or shared use efforts, Safe Routes to Schools, master plans for greenways, trails, and/or transportation, school health plans, and childcare/school standards.

CONCLUSIONS

Results from this scoping review compile and offer commentary on existing policy solutions to improve breastfeeding, healthy eating, and/or PA in the rural U.S.

Disparities in Obesogenic Environments by Income, Race/Ethnicity, and Rurality Across All US Counties

Background: Research is needed to explore inequities in physical activity (PA) and access to healthy eating resources for children on a national scale. This study examined disparities in childhood obesogenic environments across all United States (US) counties by income and race/ethnicity and their interaction with county rurality. Methods: Data for four PA variables (exercise opportunities, school proximity, walkability, crime) and six nutrition variables (grocery stores, farmers markets, fast-food restaurants, full-service restaurants, convenience stores, and births at baby-friendly hospitals) were collected for all US counties (n = 3142) to comprise the Childhood Obesogenic Environment Index (COEI). Variables were ranked and allocated a percentile for each county, and a total obesogenic environment score was created by averaging variable percentiles. Analysis of variance was used to assess differences by tertiles of county-level median household income (low/intermediate/high) and percentage of non-Hispanic (NH) White residents (low/intermediate/high). Interaction tests were used to assess effect modification by rurality, and stratified results were presented for all significant interactions. Results: There were significant differences in COEI values according to tertiles of median household income (F = 260.9, p < 0.0001). Low-income counties (M = 54.3, SD = 8.3) had worse obesogenic environments than intermediate (M = 49.9, SD = 7.9) or high (M = 45.9, SD = 8.8) income counties. There was also a significant interaction between rurality and median household income (F = 13.9, p < 0.0001). Similarly, there were significant differences in COEI values according to tertiles of race/ethnicity (F = 34.5, p < 0.0001), with low percentage NH White counties (M = 51.8, SD = 9.8) having worse obesogenic environment scores than intermediate (M = 48.7, SD = 8.4) or high (M = 49.5, SD = 8.5) NH White counties. There was also a significant interaction between rurality and race/ethnicity (F = 13.9, p < 0.0001). Conclusion: Low-income counties and those with more racial/ethnic minority residents, especially in rural areas, had less supportive PA and healthy eating environments for youth. Targeted policy and environmental approaches that aimed to address concerns specific to underserved communities are needed.

"We know what we should be eating, but we don't always do that." How and why people eat the way they do: a qualitative study with rural australians

BACKGROUND

There is evidence that most people are aware of the importance of healthy eating and have a broad understanding regarding types of food that enhance or detract from health. However, greater health literacy does not always result in healthier eating. Andreasen's Social Marketing Model and Community-Based Social Marketing both posit that, in order to change health behaviours, it is crucial to understand reasons for current behaviours and perceived barriers and benefits to improved behaviours. Limited research has been conducted, however, that explores these issues with general populations. This study aimed to help address this gap in the evidence using a qualitative methodology.

METHODS

Three group discussions were conducted with a total of 23 participants: (1) young women aged 18-24 with no children; (2) women aged 35-45 with primary school aged children; and (3) men aged 35-50 living with a partner and with pre- or primary school aged children. The discussions took place in a regional centre of Victoria, Australia. Transcriptions were thematically analysed using an inductive descriptive approach and with reference to a recent integrated framework of food choice that identified five key interrelated determinants: food- internal factors; food- external factors; personal-state factors; cognitive factors; and sociocultural factors.

RESULTS

We found that food choice was complex, with all five determinants evident from the discussions. However, the "Social environment" sub-category of "Food-external factors", which included family, work, and social structures, and expectations (or perceived expectations) of family members, colleagues, friends, and others, was particularly prominent. Knowledge that one should practice healthy eating, which falls under the "Cognitive factor" category, while seen as an aspiration by most participants, was often viewed as unrealistic, trumped by the need and/or desire for convenience, a combination of Food-external factor: Social environment and Personal-state factor: Psychological components.

CONCLUSIONS

We found that decisions regarding what, when, and how much to eat are seen as heavily influenced by factors outside the control of the individual. It appears, therefore, that a key to improving people's eating behaviours is to make it easy to eat more healthfully, or at least not much harder than eating poorly.

Urban-rural disparities in childhood obesogenic environments in the United States: Application of differing rural definitions

BACKGROUND

Research is needed that identifies environmental resource disparities and applies multiple rural definitions. Therefore, this study aims to examine urban-rural differences in food and physical activity (PA) environment resource availability by applying several commonly used rural definitions. We also examine differences in resource availability within urban-rural categories that are typically aggregated.

METHODS

Six food environment variables (access to grocery/superstores, farmers' markets, fast food, full-service restaurants, convenience stores, and breastfeeding-friendly facilities) and 4 PA environment variables (access to exercise opportunities and schools, walkability, and violent crimes) were included in the childhood obesogenic environment index (COEI). Total COEI, PA environment, and food environment index scores were generated by calculating the average percentile for related variables. US Department of Agriculture Urban Influence Codes, Office of Management and Budget codes, Rural-Urban Continuum Codes, Census Bureau Population Estimates for percent rural, and Rural Urban Commuting Area Codes were used. One-way ANOVA was used to detect urban-rural differences.

RESULTS

The greatest urban-rural disparities in COEI (F=310.2, P<.0001) and PA environment (F=562.5, P<.0001) were seen using RUCC codes. For food environments, the greatest urban-rural disparities were seen using Census Bureau percent rural categories (food: F=24.9, P<.0001). Comparing remote rural categories, differences were seen for food environments (F=3.1, P=.0270) and PA environments (F=10.2, P<.0001). Comparing metro-adjacent rural categories, differences were seen for PA environment (F=4.7, P=.0090).

CONCLUSION

Findings inform future research on urban and rural environments by outlining major differences between urban-rural classifications in identifying disparities in access to health-promoting resources.

What are the determinants of vegetable intake among adolescents from socioeconomically disadvantaged urban areas? A systematic review of qualitative studies

BACKGROUND

Evidence available on the determinants of vegetable intake in young populations is inconsistent. Vegetable intake is particularly low in adolescents from less-affluent backgrounds, yet no systematic review of qualitative studies investigating determinants for vegetable intake specifically has been conducted to date in this group. This systematic review aimed to identify determinants of vegetable intake in adolescents from socioeconomically disadvantaged urban areas located in very high-income countries reported in qualitative studies.

METHODS

Five electronic databases (PubMed, Web of Science, CINAHL, PsycINFO and ERIC) were searched until August 2022. The search strategy used combinations of synonyms for vegetable intake, adolescents, and qualitative methodologies. Main inclusion criteria were studies exploring views and experiences of motivators and barriers to vegetable intake in a sample of adolescents aged 12-18 years from socioeconomically disadvantaged urban areas in very high income countries. Study quality assessment was conducted using criteria established in a previous review.

RESULTS

Sixteen studies were included out of the 984 screened citations and 63 full texts. The synthesis of findings identified the following determinants of vegetable intake: sensory attributes of vegetables; psychosocial factors (nutrition knowledge, preferences/liking, self-efficacy, motivation); lifestyle factors (cost/price, time, convenience); fast food properties (taste, cost, satiety); home environment and parental influence; friends' influence; school food environment, nutrition education and teachers' support; and availability and accessibility of vegetables in the community and community nutrition practices. Studies attained between 18 and 49 out of 61 quality points, with eleven of 16 studies reaching ≥ 40 points. One main reason for lower scores was lack of data validation.

CONCLUSION

Multiple determinants of vegetable intake were identified complementing those investigated in quantitative studies. Future large scale quantitative studies should attempt to examine the relative importance of these determinants in order to guide the development of successful interventions in adolescents from socioeconomically disadvantaged backgrounds.

Diet cost and quality using the Healthy Eating Index-2015 in adults from urban and rural areas of Mexico

OBJECTIVE

To assess the association between diet cost and quality by place of residence.

DESIGN

We analysed cross-sectional data of the National Health and Nutrition Survey-2012. Diet cost was estimated by linking dietary data, obtained from a 7-d SFFQ, with municipality food prices, which were derived from a national expenditure survey. Diet quality was assessed using the Healthy Eating Index-2015 (HEI-2015). Association between quintiles of diet cost and HEI-2015 was assessed using linear regression analysis.

SETTINGS

Mexico.

PARTICIPANTS

2438 adults (18-59 years).

RESULTS

Diet cost was positively associated with diet quality (HEI-2015) in urban but not in rural areas. Compared with quintile (Q1) of cost, the increment in diet quality score was 1·17 (95 % CI -0·06, 4·33) for Q2, 2·14 (95 % CI -0·06, 4·33) for Q3, 4·70 (95 % CI 2·62, 6·79) for Q4 and 6·34 (95 % CI 4·20, 8·49) for Q5 (P-trend < 0·001). Individuals in rural v. urban areas on average have higher quality diets at lower cost with higher intakes of whole grains and beans and lower intakes of Na, added sugars and saturated fats. Living in the South, being indigenous and having low socio-economic status were also associated with higher quality diets.

CONCLUSIONS

Diet cost was positively associated with diet quality, but only in urban areas. Further studies are needed to understand the relation between diet cost and quality in rural areas. To improve overall diet quality in Mexico, strategies that aim to reduce the cost of high-quality diets should consider the heterogeneity by place of residence.

Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

The objectives of this study were to assess the nutritional status of rural workers from a municipality in Southeastern Brazil and estimate the association of sociodemographic, labor, lifestyle, and dietary pattern factors with obesity and abdominal obesity of men and women of this rural area. This is a cross-sectional, epidemiological study of 740 farmers (51.5%, n = 381 males; 48.5%, n = 359 females). The sociodemographic, labor, lifestyle and dietary patterns determinants were assessed. Food intake data were obtained by applying three 24-hour recalls and dietary patterns were determined by Principal Component Analysis with Varimax orthogonal rotation. Poisson regression with robust variance stratified by sex was applied. The general prevalence of overweight status was 31.5% (95% CI 28.2-34.8%), 19.7% of obesity (95% CI 16.8-22.6%) and 31.5% of abdominal obesity (95% CI 28.2-34.8%), with higher rates in women (P < 0.001). Men of higher socioeconomic class had a 2.3 times higher prevalence of obesity (95% CI 1.08-4.90). In addition, the shorter travel time to purchase food increased the prevalence of abdominal obesity in males. For women, the older the age group, the greater the general and central obesity. A lower adherence to traditional dietary patterns (approximately PR [prevalence ratio] 1.6 for general obesity and PR 1.3 for abdominal obesity) and a greater number of places to buy food were associated with higher rates of obesity in women. Finally, women farmers with a higher workload had a 20% lower prevalence of central obesity (PR 0.80; 95% CI 0.65-0.97). Such findings demonstrate that obesity must be an issue in the health care of remote and rural populations. There is a need to promote healthier environments that respect traditional food culture through multiple approaches that consider the heterogeneity of rural areas and the differences between sexes.

Nutrition Knowledge as a Driver of Adherence to the Mediterranean Diet in Italy

Background

An optimal Nutrition knowledge (NK) among the population could result in greater Adherence to the Mediterranean Diet (AMD), a recognized dietary pattern capable of preventing chronic food-related diseases. This study aimed to evaluate the association between NK and AMD in Italy.

Methods

A national representative sample of 2,869 adults took part in an assessment that was carried out through a self-administrated questionnaire including sections relating to NK and AMD. AMD was evaluated following the PREDIMED PLUS methodology. Descriptive statistics were provided, and ordinal measures of NK score and AMD were calculated based on quartiles of the quantitative scores. A contingency analysis was performed to check associations between variables.

Results

In Italy, the average NK score was 50 ± 13.3, equivalent to 56.8% of correct answers. The average value of AMD was 6.8, corresponding to 40% of the maximum score with 31.4% of the population demonstrating low AMD, 31.3% in the lower-middle range, 24% in the medium-high range, and only 13.3% reporting a high AMD. A significant association between NK and AMD was found; respondents who reported the lowest AMD corresponded to those with the lowest NK (36.7%; p < 0.05) and similarly, those with the highest level of adherence to MD also achieved the highest NK scores (41.7%; p < 0.05).

Conclusion

This study showed that AMD in Italy is generally low, and the strong association between NK and AMD demonstrated that there is a clear connection between a healthy dietary pattern and the nutrition literacy of the population. Those with the highest AMD corresponded to the highest NK and, conversely, those with the lowest AMD displayed the lowest NK. The study also highlighted that socioeconomic aspects were strong determinants of both AMD and NK.

The Impact of the COVID-19 Pandemic on Rural Food Security in High Income Countries: A Systematic Literature Review

Prior to the COVID-19 pandemic, rural-dwelling people in high-income countries were known to have greater challenges accessing healthy food than their urban counterparts. The COVID-19 pandemic has impacted food supplies across the world, and public health restrictions have changed the way people shop for food, potentially exacerbating food insecurity. This systematic literature review aimed to synthesize the available evidence on the impact of the COVID-19 pandemic on aspects of food insecurity in rural populations residing in high-income countries. Five electronic databases were searched, identifying 22 articles that assessed food insecurity prevalence or data on food availability, access, utilization and the stability of the food supply in rural populations during the COVID-19 pandemic. Ten studies examined the prevalence of food insecurity in rural populations, with the reported prevalence ranging from 15% to 95%. Where rural/urban comparisons were presented, most studies (n = 5; 71%) reported that food insecurity was significantly higher in rural regions. Five studies examined the availability of food and eight studies examined access to food, identifying that rural populations often had lower food availability and access to food during the pandemic. In contrast, two studies identified positive effects such as more gardening and increased online access to food. Rural populations experienced multiple changes to food utilization, such as reduced diet quality and food safety observed in eight studies, but this was not shown to be different from urban populations. Additionally, the food supply in rural regions was perceived to be affected in two studies. The results of this review may be used to inform region-specific mitigation strategies to decrease the impact of the current COVID-19 pandemic and future global events on food security. However, the lack of consistency in study outcomes in research on rural populations limits the identification of priority areas for intervention at a global-scale.

Rural Latino health and the built environment: a systematic review

Objective: This study systematically reviewed literature examining the influence of the rural built environment on Latinos' health outcomes and behaviour in the United States. A secondary aim of the study was to identify strategies developed to address challenges in the rural built environment affecting Latinos' health.Design: This study followed the reporting guidelines set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Articles included in the final analysis clearly linked Latino health outcomes to characteristics of the rural built environment.Results: Of the nearly 2,500 articles identified in the initial search, the final review included approximately 146 full-text sources. The majority of the articles focused on aspects of Latinos' physical (n = 68), behavioural (n = 43), and mental health (n = 23).Conclusions: Rural Latino neighbourhoods in the United States possess limited access to health care, internet, transportation, and recreation infrastructure, which negatively impacts health outcomes and behaviours. Strategies developed to mitigate these issues include but are not limited to: the use of telecommunications to distribute health information; the use of community health workers and mobile clinics to increase awareness and availability of select health services; the use of worksite trainings and adaptations to the workplace; and the promotion of safety net programmes, such as the Supplemental Nutrition Programme for Women, Infants and Children (WIC). This review supports the need for a more robust research agenda documenting the health experiences of rural Latinos of various nationalities, age groups, and genders.

Quantifying the Food and Physical Activity Environments in Rural, High Obesity Communities

The built environment contributes to an individual’s health, and rural geographies face unique challenges for healthy eating and active living. The purpose of this descriptive study was to assess the nutrition and physical activity environments in rural communities with high obesity prevalence. One community within each of six high obesity prevalence counties in a rural Midwest state completed the Nutrition Environment Measures Survey for Stores (NEMS-S) and the Rural Active Living Assessment (RALA). Data were collected by trained community members and study staff. All communities had at least one grocery store and five had at least one convenience store. Grocery stores had higher mean total NEMS-S scores than convenience stores (26.6 vs. 6.0, p < 0.001), and higher scores for availability (18.7 vs. 5.3, p < 0.001) and quality (5.4 vs. 0, p < 0.001) of healthful foods (higher scores are preferable). The mean RALA town-wide assessment score across communities was 56.5 + 15.6 out of a possible 100 points. The mean RALA program and policy assessment score was 40.8 + 20.4 out of a possible 100 points. While grocery stores and schools are important for enhancing food and physical environments in rural areas, many opportunities exist for improvements to impact behaviors and address obesity.

Proximity and High Density of Convenience Stores Was Associated With Obesity in Children of a Rural Community of Mexico: Using a Geographic Information System Approach

BACKGROUND

Food environment (FE) has been linked to obesity in urban areas, but there is limited information in rural areas, particularly in developing countries, where prevalence of obesity is high.

OBJECTIVE

To determine the association between FE and childhood obesity using Geographic Information Systems (GIS).

METHODS

A total of 218 (8-10 years) children participated in a cross-sectional study. Weight, height, and body fat were measured. Geolocation of convenience stores (CS) and participants' households was collected, and the amount of processed food (PF) in the stores was measured. The proximity to the nearest CS and the number of CS within a 250-m buffer from each participant's household was calculated using GIS. Linear regression models between obesity measurements and FE were performed.

RESULTS

The combined prevalence of overweight and obesity was 32%. A total of 91% of the children had access to a CS within 250 m. On average, 48% of the shelf-space of the CS were occupied with PF. A positive association between the density of CS with body fat % (β = .145; 95% CI, 0.048-0.241, P = .004), abdominal fat % (β = .206; 95% CI, 0.048-0.241, P = .003), and body mass index (BMI)-for-age z-score (BMIz; β = .028; 95% CI, 0.005-0.062, P = .005) was found. Living closer to CS was associated with increases in body fat % (β = -0.009; 95% CI, -0.017 to -0.001, P = 0.025), abdominal fat % (β = -0.012; 95% CI, -0.023 to -0.001, P = 0.033), and BMIz (β = -0.002, 95% CI, -0.004 to -0.001, P = 0.003).

CONCLUSION

In a rural community in Mexico, a high density and low proximity to CS is associated with obesity in school-aged children.

The Effectiveness of Randomized Controlled Trials to Improve Dietary Intake in the Context of Cardiovascular Disease Prevention and Management in Rural Communities: A Systematic Review

BACKGROUND

Dietary intake is an important modifiable risk factor for cardiovascular disease. However, to our knowledge, there are no systematic reviews of nutrition interventions in the context of cardiovascular disease prevention and management within rural communities. This is important to investigate, given the unique geographic, social, and contextual factors associated with rurality.

OBJECTIVE

Our primary objective was to systematically assess evidence on the effectiveness of randomized controlled trials to improve dietary intake in the context of cardiovascular disease prevention and management in rural communities.

METHODS

Nine electronic databases were searched from inception to June 2020, including MEDLINE, The Cochrane Library, Embase, Emcare, PsycINFO, Scopus, Rural and Remote Health, CINAHL, and AMED. Randomized controlled trials that reported results of interventions with adult, rural populations and measured change in dietary intake compared to usual care, alternative intervention, or no intervention controls were included. Included randomized controlled trials were also assessed according to the TIDieR (Template for Intervention Description and Reporting) checklist and RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework.

RESULTS

Thirteen articles reporting results of randomized controlled trials were identified. Included articles reported a range of nutrition interventions and measured 18 dietary intake outcomes. Most studies (n = 10) demonstrated effectiveness in altering at least 1 dietary intake outcome, including fruit and/or vegetable (n = 9), fiber (n = 2), Dietary Risk Assessment score (n = 2), energy, dairy, carotene, vitamin C and sodium (all n = 1). However, there was wide variation in the reporting of intervention components (according to the TIDieR checklist) and impact (according to RE-AIM framework), resulting in difficulty interpreting the "real-world" implications of these results.

CONCLUSIONS

Through this systematic review, we found limited evidence of improvement in dietary intakes due to nutrition interventions in the context of cardiovascular disease prevention and management in rural communities. Fruit and/or vegetable intakes were the most frequently reported dietary intake outcomes, and most likely to be improved across the included studies. Included studies were generally not well reported, which may hinder replication by clinicians and consolidation of the evidence base by other researchers. Given the substantial burden of cardiovascular disease experienced by those living in rural areas of developed countries, additional high-quality nutrition research that acknowledges the complexities of rural health is required.

Food Insecurity and its Impact on Body Weight, Type 2 Diabetes, Cardiovascular Disease, and Mental Health

Purpose of Review

Food insecurity (FI) is a serious public health issue affecting 2 billion people worldwide. FI is associated with increased risk for multiple chronic diseases, including obesity, type 2 diabetes, cardiovascular disease, and mental health. We selected these four chronic diseases given their global prevalence and comorbid associations with each other. We evaluated the most recent literature published over the past 5 years and offer strategies for the screening of FI.

Recent Findings

Recent systematic reviews and meta-analyses report an association between FI and obesity in adult women as well as adult men and women living in low- and middle-income countries. Gender differences also were observed between FI and type 2 diabetes, such that adult women showed an increased risk for type 2 diabetes. This association was influenced by social determinants of health. Very low food security (i.e., high FI) was associated with increased risk for cardiovascular disease and a higher risk for cardiovascular disease mortality. Finally, several studies showed an association between FI and adverse mental health outcomes, including increased risk for stress, depression, anxiety, sleep disorders, and suicidal ideation.

Summary

FI and its negative association with body weight, type 2 diabetes, cardiovascular disease, and mental health provide a compelling rationale for identification of FI in clinical settings. Brief, well-validated screening measures are available in multiple languages. Despite the need for FI screening, many guidelines do not address its implementation. For this reason, more research and targeted interventions are needed to increase FI screening rates and close the loop in the coordination of resources.

Community-Based Efforts Aim to Improve the Food Environment within a Highly Obese Rural Appalachian County

Rural communities in Appalachia are displaying increased obesity prevalence, yet traditional interventions have not provided a broad enough impact to improve dietary consumption patterns. Therefore, expanding efforts that address the food environment and incorporate behavioral nudges through community-developed marketing strategies may be a viable mechanism to improve food and beverage choices within this unique population. This study installed shelf-wobblers across n = 5 gas stations in one rural Appalachian county in Kentucky. Smart Snacks were identified from store inventory lists utilizing the CDC Food Service Guideline for Federal Facilities calculator and were categorized into high-protein snacks, low-fat carbohydrate snacks, meal replacement snacks, and no-calorie beverages. NEMS-CS audits were conducted, and monthly sales data was collected at baseline and for six months thereafter for each store location. A difference-in-difference model was used, adjusting for total sales or total mean sales for each Smart Snack model to assess the percentage change within and between stores. Overall, percent change in mean sales and total sales across all stores resulted in a percentage increase of sales of Smart Snack items following wobbler installment. This study provides unique insight into how a community-driven approach to marketing can influence the sale of healthier food and beverage items.

The Burden of Obesity in the Rural Adult Population of America

There is an epidemic of obesity in adults in rural America. It is estimated that about 19% of the population resides in rural areas, which encompasses 97% of America's total landmass. Although rural America makes up a fraction of America's total population, it has been estimated that the prevalence of obesity is approximately 6.2 times higher than in urban America. This illustrates an apparent disparity that exists between the rural population and urban populations that needs to be examined. The prevalence of obesity, especially in rural America, is a growing concern in the medical community in recent years. Obesity has been identified as a significant risk factor for cardiovascular disease, cancer, and type 2 diabetes mellitus, which are leading causes of morbidity and mortality in the US. To better understand the disparity in the prevalence of adult obesity between rural and urban America, researchers have identified risk factors that are associated with the high incidence and prevalence of obesity in the rural American adult population. Low income and lack of physical activity have been identified as factors that predispose rural Americans to increased risk of obesity, arguing that low-income Americans may not have access to the resources available to assist them in weight reduction. With rural Americans being at an income disadvantage, it creates a risk for obesity, which further predisposes them to chronic diseases such as hypertension, obstructive sleep apnea (OSA), diabetes, and coronary artery disease. As obesity continues to rise among the American population, the burden on the rural population is incredibly evident. Despite ongoing efforts by the US government and strategies implemented by the Common Community Measures for Obesity Prevention, there is still much to be done to tackle the epidemic. With an existing strategy in place, such as the 12 Common Community Measures for Obesity Prevention (COCOMO) strategies to fight obesity with physical activity, Americans are a step closer to conquering this epidemic. However, until other disparities such as income are addressed, rural Americans may continue to be severely impacted by the rising incidence of obesity and subsequent higher mortality rates from associated diseases.

Self-Perception and Self-Acceptance Are Related to Unhealthy Weight Control Behaviors in Catalan Adolescents: A Cross-Sectional Study

Adolescence is associated with a higher vulnerability that may result in a high dissatisfaction, the practice of unhealthy weight-control behaviors (UWCB) and, eventually, the onset of body image-related mental disorders. These factors are strongly associated with the social context, so it is important to characterize them in local or regional studies. To assess the relationship between body image and UWCB presence, a cross-sectional study was performed among 2496 schooled adolescents from Lleida (Spain) between 2017 and 2019. Their perceived and desired images were evaluated and compared with the real image in order to obtain the body distortion and the body dissatisfaction and relate them with UWCB. The studied individuals perceived themselves thinner than they actually were, with no differences between males and females. However, differences were found regarding body dissatisfaction, showing that females desired to be thinner, while males desired a more corpulent body image. Furthermore, one out of ten individuals reported UWCB, with higher prevalence among females. UWCB was associated with a desire to be thinner and with distorted body images. It is essential to work on self-perception and self-acceptance in early adolescence from an interdisciplinary perspective at educational, social and health levels to promote health in adolescence.

Trends and Inequalities in Overall and Abdominal Obesity by Sociodemographic Factors in Korean Adults, 1998-2018

Few studies have comprehensively examined the nationwide trends in overall and abdominal obesity prevalence and related sociodemographic inequalities in Korea. In the Korea National Health and Nutrition Examination Survey 1998–2018, we estimated the age-standardized prevalence of overall (body mass index ≥ 25 kg/m²) and abdominal obesity (waist circumference ≥ 90 cm men, ≥85 cm women) in each sociodemographic subgroup of Korean adults (aged 19–79 years). For each survey year, weighted logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between obesity prevalence and sociodemographic factors. During the study period, the prevalence of overall and abdominal obesity increased in men (24.8% to 42.4%; 20.1% to 32.1%; respectively) but only a small change was observed in women (26.5% to 26.0%; 22.7% to 20.9%; respectively). Obesity prevalence increased in all sociodemographic groups of men but varied across groups in women. In women, income (4th vs. 1st quartiles in 2016–2018: OR (95% CI) = 0.66 (0.56–0.78) overall obesity; 0.60 (0.51–0.71) abdominal obesity) and education (college or higher vs. high school or less: 0.62 (0.54–0.72) overall obesity; 0.58 (0.50–0.68) abdominal obesity) were inversely associated with obesity prevalence, and the gaps became more pronounced since 2007. Our data suggest that the inequalities in obesity prevalence by sex and by socioeconomic status have become more apparent over time in Korea.

Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia

CHAPTER 1: RETAIL INITIATIVES TO IMPROVE THE HEALTHINESS OF FOOD ENVIRONMENTS IN RURAL, REGIONAL AND REMOTE COMMUNITIES: Objective: To synthesise the evidence for effectiveness of initiatives aimed at improving food retail environments and consumer dietary behaviour in rural, regional and remote populations in Australia and comparable countries, and to discuss the implications for future food environment initiatives for rural, regional and remote areas of Australia.

STUDY DESIGN

Rapid review of articles published between January 2000 and May 2020.

DATA SOURCES

We searched MEDLINE (EBSCOhost), Health and Society Database (Informit) and Rural and Remote Health Database (Informit), and included studies undertaken in rural food environment settings in Australia and other countries.

DATA SYNTHESIS

Twenty-one articles met the inclusion criteria, including five conducted in Australia. Four of the Australian studies were conducted in very remote populations and in grocery stores, and one was conducted in regional Australia. All of the overseas studies were conducted in rural North America. All of them revealed a positive influence on food environment or consumer behaviour, and all were conducted in disadvantaged, rural communities. Positive outcomes were consistently revealed by studies of initiatives that focused on promotion and awareness of healthy foods and included co-design to generate community ownership and branding.

CONCLUSION

Initiatives aimed at improving rural food retail environments were effective and, when implemented in different rural settings, may encourage improvements in population diets. The paucity of studies over the past 20 years in Australia shows a need for more research into effective food retail environment initiatives, modelled on examples from overseas, with studies needed across all levels of remoteness in Australia. Several retail initiatives that were undertaken in rural North America could be replicated in rural Australia and could underpin future research. CHAPTER 2: WHICH INTERVENTIONS BEST SUPPORT THE HEALTH AND WELLBEING NEEDS OF RURAL POPULATIONS EXPERIENCING NATURAL DISASTERS?: Objective: To explore and evaluate health and social care interventions delivered to rural and remote communities experiencing natural disasters in Australia and other high income countries.

STUDY DESIGN

We used systematic rapid review methods. First we identified a test set of citations and generated a frequency table of Medical Subject Headings (MeSH) to index articles. Then we used combinations of MeSH terms and keywords to search the MEDLINE (Ovid) database, and screened the titles and abstracts of the retrieved references.

DATA SOURCES

We identified 1438 articles via database searches, and a further 62 articles via hand searching of key journals and reference lists. We also found four relevant grey literature resources. After removing duplicates and undertaking two stages of screening, we included 28 studies in a synthesis of qualitative evidence.

DATA SYNTHESIS

Four of us read and assessed the full text articles. We then conducted a thematic analysis using the three phases of the natural disaster response cycle.

CONCLUSION

There is a lack of robust evaluation of programs and interventions supporting the health and wellbeing of people in rural communities affected by natural disasters. To address the cumulative and long term impacts, evidence suggests that continuous support of people's health and wellbeing is needed. By using a lens of rural adversity, the complexity of the lived experience of natural disasters by rural residents can be better understood and can inform development of new models of community-based and integrated care services. CHAPTER 3: THE IMPACT OF BUSHFIRE ON THE WELLBEING OF CHILDREN LIVING IN RURAL AND REMOTE AUSTRALIA: Objective: To investigate the impact of bushfire events on the wellbeing of children living in rural and remote Australia.

STUDY DESIGN

Literature review completed using rapid realist review methods, and taking into consideration the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement for systematic reviews.

DATA SOURCES

We sourced data from six databases: EBSCOhost (Education), EBSCOhost (Health), EBSCOhost (Psychology), Informit, MEDLINE and PsycINFO. We developed search terms to identify articles that could address the research question based on the inclusion criteria of peer reviewed full text journal articles published in English between 1983 and 2020. We initially identified 60 studies and, following closer review, extracted data from eight studies that met the inclusion criteria.

DATA SYNTHESIS

Children exposed to bushfires may be at increased risk of poorer wellbeing outcomes. Findings suggest that the impact of bushfire exposure may not be apparent in the short term but may become more pronounced later in life. Children particularly at risk are those from more vulnerable backgrounds who may have compounding factors that limit their ability to overcome bushfire trauma.

CONCLUSION

We identified the short, medium and long term impacts of bushfire exposure on the wellbeing of children in Australia. We did not identify any evidence-based interventions for supporting outcomes for this population. Given the likely increase in bushfire events in Australia, research into effective interventions should be a priority. CHAPTER 4: THE ROLE OF NATIONAL POLICIES TO ADDRESS RURAL ALLIED HEALTH, NURSING AND DENTISTRY WORKFORCE MALDISTRIBUTION: Objective: Maldistribution of the health workforce between rural, remote and metropolitan communities contributes to longstanding health inequalities. Many developed countries have implemented policies to encourage health care professionals to work in rural and remote communities. This scoping review is an international synthesis of those policies, examining their effectiveness at recruiting and retaining nursing, dental and allied health professionals in rural communities.

STUDY DESIGN

Using scoping review methods, we included primary research - published between 1 September 2009 and 30 June 2020 - that reported an evaluation of existing policy initiatives to address workforce maldistribution in high income countries with a land mass greater than 100 000 km² .

DATA SOURCES

We searched MEDLINE, Ovid Embase, Ovid Emcare, Informit, Scopus, and Web of Science. We screened 5169 articles for inclusion by title and abstract, of which we included 297 for full text screening. We then extracted data on 51 studies that had been conducted in Australia, the United States, Canada, United Kingdom and Norway.

DATA SYNTHESIS

We grouped the studies based on World Health Organization recommendations on recruitment and retention of health care workers: education strategies (n = 27), regulatory change (n = 11), financial incentives (n = 6), personal and professional support (n = 4), and approaches with multiple components (n = 3).

CONCLUSION

Considerable work has occurred to address workforce maldistribution at a local level, underpinned by good practice guidelines, but rarely at scale or with explicit links to coherent overarching policy. To achieve policy aspirations, multiple synergistic evidence-based initiatives are needed, and implementation must be accompanied by well designed longitudinal evaluations that assess the effectiveness of policy objectives. CHAPTER 5: AVAILABILITY AND CHARACTERISTICS OF PUBLICLY AVAILABLE HEALTH WORKFORCE DATA SOURCES IN AUSTRALIA: Objective: Many data sources are used in Australia to inform health workforce planning, but their characteristics in terms of relevance, accessibility and accuracy are uncertain. We aimed to identify and appraise publicly available data sources used to describe the Australian health workforce.

STUDY DESIGN

We conducted a scoping review in which we searched bibliographic databases, websites and grey literature. Two reviewers independently undertook title and abstract screening and full text screening using Covidence software. We then assessed the relevance, accessibility and accuracy of data sources using a customised appraisal tool.

DATA SOURCES

We searched for potential workforce data sources in nine databases (MEDLINE, Embase, Ovid Emcare, Scopus, Web of Science, Informit, the JBI Evidence-based Practice Database, PsycINFO and the Cochrane Library) and the grey literature, and examined several pre-defined websites.

DATA SYNTHESIS

During the screening process we identified 6955 abstracts and examined 48 websites, from which we identified 12 publicly available data sources - eight primary and four secondary data sources. The primary data sources were generally of modest quality, with low scores in terms of reference period, accessibility and missing data. No single primary data source scored well across all domains of the appraisal tool.

CONCLUSION

We identified several limitations of data sources used to describe the Australian health workforce. Establishment of a high quality, longitudinal, linked database that can inform all aspects of health workforce development is urgently needed, particularly for rural health workforce and services planning. CHAPTER 6: RAPID REALIST REVIEW OF OPIOID TAPERING IN THE CONTEXT OF LONG TERM OPIOID USE FOR NON-CANCER PAIN IN RURAL AREAS: Objective: To describe interventions, barriers and enablers associated with opioid tapering for patients with chronic non-cancer pain in rural primary care settings.

STUDY DESIGN

Rapid realist review registered on the international register of systematic reviews (PROSPERO) and conducted in accordance with RAMESES standards.

DATA SOURCES

English language, peer-reviewed articles reporting qualitative, quantitative and mixed method studies, published between January 2016 and July 2020, and accessed via MEDLINE, Embase, CINAHL Complete, PsycINFO, Informit or the Cochrane Library during June and July 2020. Grey literature relating to prescribing, deprescribing or tapering of opioids in chronic non-cancer pain, published between January 2016 and July 2020, was identified by searching national and international government, health service and peek organisation websites using Google Scholar.

DATA SYNTHESIS

Our analysis of reported approaches to tapering conducted across rural and non-rural contexts showed that tapering opioids is complex and challenging, and identified several barriers and enablers. Successful outcomes in rural areas appear likely through therapeutic relationships, coordination and support, by using modalities and models of care that are appropriate in rural settings and by paying attention to harm minimisation.

CONCLUSION

Rural primary care providers do not have access to resources available in metropolitan centres for dealing with patients who have chronic non-cancer pain and are taking opioid medications. They often operate alone or in small group practices, without peer support and access to multidisciplinary and specialist teams. Opioid tapering approaches described in the literature include regulation, multimodal and multidisciplinary approaches, primary care provider support, guidelines, and patient-centred strategies. There is little research to inform tapering in rural contexts. Our review provides a synthesis of the current evidence in the form of a conceptual model. This preliminary model could inform the development of a model of care for use in implementation research, which could test a variety of mechanisms for supporting decision making, reducing primary care providers' concerns about potential harms arising from opioid tapering, and improving patient outcomes.

Diet Quality Compared to the Nutritional Knowledge of Polish, German, and Slovakian University Students-Preliminary Research

The eating habits of students differ significantly from those recommended by health practitioners. The aim of this study was to find differences related to diet quality and knowledge on nutrition among Polish, German, and Slovakian students as well as to examine which factors differentiate the diet quality of students from these three countries. The study was conducted on a group of 394 university students from Poland, Germany, and Slovakia. The assessment of diet quality and knowledge on food and nutrition was done with the use of the Dietary Habits and Nutrition Beliefs Questionnaire. The diet of German students was characterized by a significantly higher consumption of legume-based foods, vegetables, and fruit compared to Polish students and Slovakian participants (p < 0.001). The diet of the Poles was characterized by a high consumption of cured meat, smoked sausages, hot dogs, white bread and bakery products, butter, fried foods, and energy drinks. The most important factors significantly associated with diet quality involved the country, place of residence, Body Mass Index (BMI), physical activity, and time spent watching TV or using a computer. Polish students were characterized by the highest level of knowledge on food and nutrition (p < 0.001). However, it was not reflected in their diet. The authorities of universities should aim to provide students with access to canteens on campuses which would offer the possibility of consumption of both affordable and healthy meals.

A Conceptual Model of Rural Household Food Insecurity: A Qualitative Systematic Review and Content Analysis

This systematic review explores experiences of household food insecurity in rural areas of developed countries. A search of 5 databases resulted in 32 peer-reviewed articles for inclusion. Data were analyzed using directed content analysis to broaden the understanding of rural household food insecurity. Elements of food security (ie, availability, accessibility, acceptability, adequacy, and agency) were exemplified across the literature. In addition, 4 key themes were found: exercising human capital, realizing social capital, coping with compounding stressors, and navigating complex systems. This review demonstrates the need for interventions that improve social connectedness, individual coping skills, and system navigation.

Energy contribution of NOVA food groups and the nutritional profile of the Brazilian rural workers' diets

We estimated the caloric contribution of minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods in Brazilian farmers' diets and their association with the nutritional profile of the diet. It is an epidemiological study of cross-sectional, analytical and quantitative design with 740 farmers adults of Southeastern Brazil. Food intake data were obtained by applying three 24-hour recalls and were classified according to the degree and purpose of processing. The largest caloric contribution came from the group of minimally processed foods (64.7%), followed by ultra-processed foods (17.7%), processed culinary ingredients (12.4%), and processed foods (5.2%). Individuals in the fourth quartile of caloric contribution from minimally processed foods showed lower energy consumption (β -0.16, P<0.001) and greater consumption of all 15 micronutrients analyzed. In contrast to what was identified for this food group, the higher caloric contribution from ultra-processed foods was associated with a greater caloric content of the diet (β 0.17, P<0.001) and lower consumption of all 23 analyzed nutrients. Therefore, the caloric contribution from the consumption of ultra-processed foods in the rural area is still lower than the national average. However, measures aimed at delaying isocaloric exchanges for the group of ultra-processed foods must be carried out, maintaining the local food culture, since this group had worse nutritional levels. In addition, incentives to the greater consumption of minimally processed foods should be carried out, due to their nutritional quality.

The Curated Food System: A Limiting Aspirational Vision of What Constitutes "Good" Food

In an effort to elucidate an aspirational vision for the food system and explore whether the characteristics of such a system inadvertently set unattainable standards for low-wealth rural communities, we applied discourse analysis to the following qualitative datasets: (1) interviews with food experts and advocates, (2) scholarly and grey literature, (3) industry websites, and (4) email exchanges between food advocates. The analysis revealed eight aspirational food system discourses: production, distribution, and infrastructure; healthy, organic, local food; behavioral health and education; sustainability; finance and investment; hunger relief; demand-side preferences; romanticized, community led transformations. Study findings reveal that of eight discourses, only three encompass the experiences of low-wealth rural residents. This aspirational food system may aggravate the lack of autonomy and powerlessness already experienced by low-wealth rural groups, perpetuate a sense of failure by groups who will be unable to reach the aspirational food vision, silence discourses that might question those that play a role in the inequitable distribution of income while sanctioning discourses that focus on personal or community solutions, and leave out other policy-based solutions that address issues located within the food system. Further research might explore how to draw attention to silenced discourses on the needs and preferences of low-wealth rural populations to ensure that the policies and programs promoted by food system experts mitigate poor diets caused by food insecurity. Further research is needed to inform policies and programs to mitigate food insecurity in low-wealth rural populations.

What Should I Eat and Why? The Environmental, Genetic, and Behavioral Determinants of Food Choice: Summary from a Pennington Scientific Symposium

This review details the proceedings of a Pennington Biomedical scientific symposium titled, "What Should I Eat and Why? The Environmental, Genetic, and Behavioral Determinants of Food Choice." The symposium was designed to review the literature about energy homeostasis, particularly related to food choice and feeding behaviors, from psychology to physiology. This review discusses the intrinsic determinants of food choice, including biological mechanisms (genetics), peripheral and central signals, brain correlates, and the potential role of the microbiome. This review also address the extrinsic determinants (environment) of food choice within our physical and social environments. Finally, this review reports the current treatment practices for the clinical management of eating-induced overweight and obesity. An improved understanding of these determinants will inform best practices for the clinical treatment and prevention of obesity. Strategies paired with systemic shifts in our public health policies and changes in our "obesogenic" environment will be most effective at attenuating the obesity epidemic.

Development of a national childhood obesogenic environment index in the United States: differences by region and rurality

Background

Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States.

Methods

A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified – six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables.

Results

The average COEI percentile ranged from 24.5–81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S.

Conclusion

The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review

Dietary intake, eating behaviors, and context are important in chronic disease development, yet our ability to accurately assess these in research settings can be limited by biased traditional self-reporting tools. Objective measurement tools, specifically, wearable sensors, present the opportunity to minimize the major limitations of self-reported eating measures by generating supplementary sensor data that can improve the validity of self-report data in naturalistic settings. This scoping review summarizes the current use of wearable devices/sensors that automatically detect eating-related activity in naturalistic research settings. Five databases were searched in December 2019, and 618 records were retrieved from the literature search. This scoping review included N = 40 studies (from 33 articles) that reported on one or more wearable sensors used to automatically detect eating activity in the field. The majority of studies (N = 26, 65%) used multi-sensor systems (incorporating > 1 wearable sensors), and accelerometers were the most commonly utilized sensor (N = 25, 62.5%). All studies (N = 40, 100.0%) used either self-report or objective ground-truth methods to validate the inferred eating activity detected by the sensor(s). The most frequently reported evaluation metrics were Accuracy (N = 12) and F1-score (N = 10). This scoping review highlights the current state of wearable sensors' ability to improve upon traditional eating assessment methods by passively detecting eating activity in naturalistic settings, over long periods of time, and with minimal user interaction. A key challenge in this field, wide variation in eating outcome measures and evaluation metrics, demonstrates the need for the development of a standardized form of comparability among sensors/multi-sensor systems and multidisciplinary collaboration.

Implementing Policy, Systems, and Environmental Change Through Community Coalitions and Extension Partnerships to Address Obesity in Rural Louisiana

Community coalitions and agents funded by the Louisiana State University Agricultural Center's Healthy Communities program implemented multilevel obesity prevention interventions in 3 rural parishes (ie, counties) with an obesity prevalence of 40% or higher. The Healthy Communities coalitions appraised local health concerns through needs assessments and community forums. On the basis of local needs and the evidence base, the coalitions identified and implemented policy, systems, and environmental (PSE) strategies and supporting education to promote healthy behavior change among residents, overcoming barriers in the process. Interventions varied by parish but included Complete Streets implementation plans, healthy retail initiatives, play space improvements, downtown beautification projects, and Smarter Lunchrooms.

Back in the Day: Nostalgia Frames Rural Residents' Perspectives on Diet and Physical Activity

OBJECTIVE

To observe and interpret cultural influences on health behaviors in a rural area with a high prevalence of obesity.

DESIGN

Descriptive, qualitative study.

SETTING

Lenoir County, NC, US.

PARTICIPANTS

Four focus groups (n = 33) were conducted. Participants were 76% African American and with an average of 25 years of county residence.

PHENOMENON OF INTEREST

Diet, physical activity, environment ANALYSIS: Content analysis and thematic data analysis to identify key themes using qualitative analysis software.

RESULTS

Participants frequently evoked nostalgia to frame recurrent themes including decreased opportunities for physical activity and changing food access and preparation in the community, contrasting with memories of enjoying local produce and safe outdoor recreation. They interpreted present health behaviors in the context of these past losses.

CONCLUSIONS AND IMPLICATIONS

Nostalgia is an important element in our participants' cultural repertoires, revealing elements of place-based culture. Nostalgic narratives may foster a sense of reduced options for healthy eating and exercise by over-emphasizing loss. The incorporation of place-specific obesogenic cultural factors, including the way residents juxtapose past and present, may improve obesity interventions in rural settings.

Residents' perceptions of their local food environment in socioeconomically diverse neighborhoods: A photovoice study

The influence of unhealthy food environments on residents' eating behaviors has been previously documented. Yet, socioeconomic differences across areas are less studied. Participatory studies provide relevant knowledge to better inform future nutrition interventions. We conducted a participatory Photovoice project in which residents interpreted the influence of the local food environment on eating behaviors across three neighborhoods of contrasting area-level socioeconomic status (SES) in Bilbao, Spain. From April to July 2017, a total of 23 residents participated in the three Photovoice groups. Each group critically discussed their photographs (N = 110) in groups of 6-9 participants along six group sessions. Through a consensus-building process, participants identified 27 emerging categories choosing finally 39 related photographs, which followed six conceptual main themes characterizing their local food environment: 1) unhealthy eating behaviors, 2) cultural diversity, 3) retail transformation, 4) social relationships, 5) precariousness, and 6) healthy eating. Although high food quality and fresh products may portray a general healthy food environment in all three neighborhoods, participants discussed why some residents still adopt unhealthy eating behaviors characterized by an excessive consumption of alcohol (high-SES area), sugar loaded foods (high- and middle-SES) and fast food (middle and low-SES). This photovoice participatory methodology helps highlighting important similarities and differences regarding food environment perceptions in the whole socioeconomic spectrum of any given city. This type of participatory approach helps guiding local policies and interventions promoting healthier local food environments.

Estimating the effect of calorie menu labeling on calories purchased in a large restaurant franchise in the southern United States: quasi-experimental study

OBJECTIVE

To evaluate whether calorie labeling of menus in large restaurant chains was associated with a change in mean calories purchased per transaction.

DESIGN

Quasi-experimental longitudinal study.

SETTING

Large franchise of a national fast food company with three different restaurant chains located in the southern United States (Louisiana, Texas, and Mississippi) from April 2015 until April 2018.

PARTICIPANTS

104 restaurants with calorie information added to in-store and drive-thru menus in April 2017 and with weekly aggregated sales data during the pre-labeling (April 2015 to April 2017) and post-labeling (April 2017 to April 2018) implementation period.

MAIN OUTCOME MEASURES

Primary outcome was the overall level and trend changes in mean purchased calories per transaction after implementation of calorie labeling compared with the counterfactual (ie, assumption that the pre-intervention trend would have persisted had the intervention not occurred) using interrupted time series analyses with linear mixed models. Secondary outcomes were by item category (entrees, sides, and sugar sweetened beverages). Subgroup analyses estimated the effect of calorie labeling in stratums defined by the sociodemographic characteristics of restaurant census tracts (defined region for taking census).

RESULTS

The analytic sample comprised 14 352 restaurant weeks. Over three years and among 104 restaurants, 49 062 440 transactions took place and 242 726 953 items were purchased. After labeling implementation, a level decrease was observed of 60 calories/transaction (95% confidence interval 48 to 72; about 4%), followed by an increasing trend of 0.71 calories/transaction/week (95% confidence interval 0.51 to 0.92) independent of the baseline trend over the year after implementation. These results were generally robust to different analytic assumptions in sensitivity analyses. The level decrease and post-implementation trend change were stronger for sides than for entrees or sugar sweetened beverages. The level decrease was similar between census tracts with higher and lower median income, but the post-implementation trend in calories per transaction was higher in low income (change in calories/transaction/week 0.94, 95% confidence interval 0.67 to 1.21) than in high income census tracts (0.50, 0.19 to 0.81).

CONCLUSIONS

A small decrease in mean calories purchased per transaction was observed after implementation of calorie labeling in a large franchise of fast food restaurants. This reduction diminished over one year of follow-up.

Changes in diet and physical activity resulting from the Strong Hearts, Healthy Communities randomized cardiovascular disease risk reduction multilevel intervention trial

BACKGROUND

Women living in rural areas face unique challenges in achieving a heart-healthy lifestyle that are related to multiple levels of the social-ecological framework. The purpose of this study was to evaluate changes in diet and physical activity, which are secondary outcomes of a community-based, multilevel cardiovascular disease risk reduction intervention designed for women in rural communities.

METHODS

Strong Hearts, Healthy Communities was a six-month, community-randomized trial conducted in 16 rural towns in Montana and New York, USA. Sedentary women aged 40 and older with overweight and obesity were recruited. Intervention participants (eight towns) attended twice weekly exercise and nutrition classes for 24 weeks (48 total). Individual-level components included aerobic exercise, progressive strength training, and healthy eating practices; a civic engagement component was designed to address social and built environment factors to support healthy lifestyles. The control group (eight towns) attended didactic healthy lifestyle classes monthly (six total). Dietary and physical activity data were collected at baseline and post-intervention. Dietary data were collected using automated self-administered 24-h dietary recalls, and physical activity data were collected by accelerometry and self-report. Data were analyzed using multilevel linear regression models with town as a random effect.

RESULTS

At baseline, both groups fell short of meeting many recommendations for cardiovascular health. Compared to the control group, the intervention group realized significant improvements in intake of fruit and vegetables combined (difference: 0.6 cup equivalents per day, 95% CI 0.1 to 1.1, p = .026) and in vegetables alone (difference: 0.3 cup equivalents per day, 95% CI 0.1 to 0.6, p = .016). For physical activity, there were no statistically significant between-group differences based on accelerometry. By self-report, the intervention group experienced a greater increase in walking MET minutes per week (difference: 113.5 MET-minutes per week, 95% CI 12.8 to 214.2, p = .027).

CONCLUSIONS

Between-group differences in dietary and physical activity behaviors measured in this study were minimal. Future studies should consider how to bolster behavioral outcomes in rural settings and may also continue to explore the value of components designed to enact social and environmental change.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT02499731. Registered 16 July 2015.

Adoption and Reach of a statewide policy, systems, and environment intervention to increase access to fresh fruits and vegetables in West Virginia

Local public health professionals’ consistency, connections, and presence at meetings were critical to making changes in schools, farmers markets, and retail food stores to improve access to fruits and vegetables in rural, low-income food deserts.

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3-6. Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.

You Can't Find Healthy Food in the Bush: Poor Accessibility, Availability and Adequacy of Food in Rural Australia

In high-income countries, obesity disproportionately affects those from disadvantaged and rural areas. Poor diet is a modifiable risk factor for obesity and the food environment a primary driver of poor diet. In rural and disadvantaged communities, it is harder to access affordable and nutritious food, affecting both food insecurity and the health of rural residents. This paper aims to describe the food environment in a rural Australian community (approx. 7000 km² in size) to inform the development of community-relevant food supply interventions. We conducted a census audit of the food environment (ground truthing) of a local government area (LGA). We used the Nutrition Environment Measurement tools (NEMS-S and NEMS-R) to identify availability of a range of food and non-alcoholic beverages, the relative price of a healthy compared to a less healthy option of a similar food type (e.g., bread), the quality of fresh produce and any in-store nutrition promotion. Thirty-eight food retail outlets operated at the time of our study and all were included, 11 food stores (NEMS-S) and 27 food service outlets (NEMS-R). The mean NEMS-S score for all food stores was 21/54 points (39%) and mean NEMS-R score for all food service outlets was 3/23 points (13%); indicative of limited healthier options at relatively higher prices. It is difficult to buy healthy food beyond the supermarkets and one (of seven) cafés across the LGA. Residents demonstrate strong loyalty to local food outlets, providing scope to work with this existing infrastructure to positively impact poor diet and improve food security.

Association of Individual and Neighborhood Factors with Home Food Availability: Evidence from the National Health and Nutrition Examination Survey

BACKGROUND

Accumulating evidence suggests the important role of the home food environment in an individual's dietary intake.

OBJECTIVE

This study examined the associations of individual and neighborhood-level factors with the availability of healthy and unhealthy foods in the home using a nationally representative sample from the 2007 to 2008 and 2009 to 2010 National Health and Nutrition Examination Surveys (NHANES).

DESIGN

A cross-sectional study design was used with NHANES merged with the 2000 census data. Food availability was measured through self-report questionnaire regarding the frequency of foods or drinks available in the home.

PARTICIPANTS

The analysis included 8,975 participants aged 19 to 65 years.

STATISTICAL ANALYSES PERFORMED

Associations of individual and neighborhood factors with home food availability (always or most of the time available) were assessed using logistic regression modeling accounting for NHANES' complex survey design and weights. Individual-level and neighborhood-level factors were simultaneously included in the analysis.

RESULTS

Family income-to-needs ratio was positively associated with the availability of dark green vegetables (odds ratio [OR]=1.07; 95% CI=1.00 to 1.13), fat-free or low-fat milk (OR=1.16; 95% CI=1.07 to 1.25), and salty snacks (OR=1.12; 95% CI=1.04 to 1.20) in the home. College graduates were more likely to have fruits (OR=1.96, 95% CI=1.48 to 2.60), vegetables (OR=1.48; 95% CI=1.16 to 1.88), and fat-free or low-fat milk (OR=1.81; 95% CI=1.55 to 2.12) and less likely to have salty snacks (OR=0.77; 95% CI=0.63 to 0.95) and sugary drinks (OR=0.46, 95% CI=0.37 to 0.57) available compared with non-college graduates. Tract socioeconomic status (SES) scores were positively associated with fruit (OR=1.15; 95% CI=1.02 to 1.29), vegetable (OR=1.14; 95% CI=1.03 to 1.26), and fat-free or low-fat milk (OR=1.25; 95% CI=1.10 to 1.42) availability. Urban residents were associated with greater availability of fruits (OR=1.47; 95% CI=1.05 to 2.08) and fat-free or low-fat milk (OR=1.33; 95% CI=1.02 to 1.73) in the home compared with rural residents. Food desert status was not associated with home food availability.

CONCLUSIONS

The results show that SES at both individual (education, income) and neighborhood level was linked to home food availability, suggesting a need to improve the home food environment for socioeconomically disadvantaged individuals and neighborhoods.

Weight management in rural health clinics: The Midwest diet and exercise trial

Obesity prevalence is higher in rural compared to urban residents. Rural health clinics offer a potential venue for delivery of weight management. However, traditional programs require travel to attend on-site meetings which is impractical or inconvenient for rural residents. Clinic staff in most rural settings are unlikely to be trained to provide effective weight management. Remote delivery using group phone conferences (GP) or individual phone calls (IP), by staff associated with rural clinics eliminates the need for travel to attend on-site meetings. The effectiveness of these approaches will be the focus of this trial. Staff at five primary care clinics, serving primarily rural residents, will be trained to deliver GP and IP interventions and an enhanced usual care (EUC), (i.e., individual face-to-face meetings (~45 min) at clinic site, four times across 18 mos.). Two hundred overweight/obese adults (BMI ≥ 25.0-45.0 kg/m², age ≥ 21 yrs.) will be recruited through each clinic and randomized to GP (n = 80), IP (n = 80), or EUC (n = 40) to compare weight loss (0-6 mos.), weight maintenance (7-18 mos.), and weight change during a 6 mo. no contact follow-up (19-24 mos.) between intervention arms. The GP and IP interventions will be identical in lesson plan content, diet, and physical activity. The only difference between groups will be the delivery format (group vs. individual) and session duration (GP ~45 min/session; IP ~15 min/session). Primary (body weight) and secondary outcomes (waist circumference, energy/macronutrient intake, physical activity) will be assessed at baseline, 6, 12, 18 and 24 mos. Cost and contingent valuation analyses will also be completed.

NCT REGISTRATION

NCT02932748.

Types and Characteristics of Fish and Seafood Provisioning Scripts Used by Rural Midlife Adults

OBJECTIVE

To examine rural New York State consumers' cognitive scripts for fish and seafood provisioning.

DESIGN

A cross-sectional design with in-depth, semistructured interviews.

SETTING

Three rural New York State counties.

PARTICIPANTS

Adults (n = 31) with diverse fish-related experiences were purposefully recruited.

PHENOMENON OF INTEREST

Scripts describing fish and seafood acquisition, preparation, and eating out.

ANALYSIS

Interview transcripts were coded for emergent themes using Atlas.ti. Diagrams of scripts for each participant were constructed.

RESULTS

Five types of acquisition scripts included quality-oriented, price-oriented, routine, special occasion, and fresh catch. Frequently used preparation scripts included everyday cooking, fast meal, entertaining, and grilling. Scripts for eating out included fish as first choice, Friday outing, convenient meals, special event, and travel meals. Personal values and resources influenced script development. Individuals drew on a repertoire of scripts based on their goals and resources at that time and in that place. Script characteristics of scope, flexibility, and complexity varied widely.

CONCLUSIONS AND IMPLICATIONS

Scripts incorporated goals, values, and resources into routine food behaviors. Understanding the characteristics of scripts provided insights about fish provisioning and opportunities to reduce the gap between current intake and dietary guidelines in this rural setting.

USDA Fresh Fruit and Vegetable Program Is More Effective in Town and Rural Schools Than Those in More Populated Communities

BACKGROUND

We attempted to determine effects of the United States Department of Agriculture (USDA) Fresh Fruit and Vegetable Program (FFVP) on variety and frequency of fruit and vegetable intake by students in schools from different locales.

METHODS

Data were derived from the 2011-2012 Indiana FFVP Student Survey completed by 4229 fourth-sixth graders. Effects were studied within 2 groups, 39 city and suburb schools, and 12 town and rural schools. Differences in students' responses over time to 2 items measuring variety and 10 items measuring fruit and vegetable intake frequency were determined with multilevel regression models.

RESULTS

Town and rural students were 1.2 times more likely to eat different kinds of fruit (p = .04) and vegetables (p = .01) daily, and increased fruit (+1.0 time/day; p < .01) and vegetable intake frequency (+0.5 times/day; p = .03). City and suburb students increased fruit intake frequency (∼0.8 times/day; p < .01) but not vegetable intake frequency or daily variety (p > .05).

CONCLUSIONS

FFVP improved fruit and vegetable eating behaviors in the "town and rural" group, but was only partially effective in the "city and suburb" group. Strategies to implement FFVP may need to differ depending on school locale.