Residents of rural communities in the United States are at higher risk for obesity than their urban and suburban counterparts. Policy and environmental-change strategies supporting healthier dietary intake can prevent obesity and promote health equity. Evidence in support of these strategies is based largely on urban and suburban studies; little is known about use of these strategies in rural communities. The purpose of this review was to synthesize available evidence on the adaptation, implementation, and effectiveness of policy and environmental obesity-prevention strategies in rural settings.
The review was guided by a list of Centers for Disease Control and Prevention
Of the 663 articles retrieved, 33 met inclusion criteria. The interventions most commonly focused on increasing access to more nutritious foods and beverages or decreasing access to less nutritious options. Rural adaptations included accommodating distance to food sources, tailoring to local food cultures, and building community partnerships.
Findings from this literature review provide guidance on adapting and implementing policy and environmental strategies in rural communities.
Residents of rural communities in the United States experience disproportionately high rates of obesity and other nutrition-related chronic diseases than do urban and suburban residents (
The evidence in support of nutrition-related policy and environmental strategies is based largely on urban and suburban studies; thus, little is known about their use in rural communities. Rural communities may have distinct cultures and infrastructures that limit the transferability of strategies from nonrural contexts (
The purpose of this study was to synthesize the evidence on the adoption, implementation, and effectiveness of nutrition-related policy and environmental obesity-prevention strategies in rural settings. The review was guided by the Centers for Disease Control and Prevention’s (CDC)
| Strategy Number | Strategy Description |
|---|---|
| 1 | Increase availability of healthier food and beverage choices in public service venues. |
| 2 | Improve availability of affordable healthier food and beverage choices in public service venues. |
| 3 | Improve geographic availability of supermarkets in underserved areas. |
| 4 | Provide incentives to food retailers to locate in and/or offer healthier food and beverage choices in underserved areas. |
| 5 | Improve availability of mechanisms for purchasing foods from farms. |
| 6 | Provide incentives for the production, distribution, and procurement of foods from local farms. |
| 7 | Restrict availability of less healthy foods and beverages in public service venues. |
| 8 | Institute smaller portion size options in public service venues. |
| 9 | Limit advertisements of less healthy foods and beverages. |
| 10 | Discourage consumption of sugar-sweetened beverages. |
We conducted a systematic review of the literature to identify, extract, and integrate findings from empirical research on the use of nutrition-related policy and environmental strategies for obesity prevention in rural communities. The review was conducted by members of the Rural Food Access Work Group of the CDC-funded Nutrition and Obesity Policy Research and Evaluation Network (NOPREN), a nationwide network of more than 15 funded and affiliated partners that identifies and prioritizes a policy research agenda to improve access to healthy, affordable foods in rural communities (
PubMed, Cumulative Index of Nursing and Allied Health Literature, Public Affairs Information Service, and Cochrane databases were searched for articles published between January 1, 2002, and June 30, 2013, in English, that reported findings from formative, process, or outcome research on nutrition-related policy and environmental strategies in rural settings. To be comprehensive and capture strategies in addition to those of COCOMO, we searched broadly for nutrition-related policy and environmental strategies applied to obesity prevention. Each search was conducted by using the following terms: rural AND (nutrition or food) AND (community or environment or policy) AND (obesity or overweight or “chronic disease”). In addition to using the search term “rural,” the search was repeated in each database by using predominantly rural states as search terms. The predominantly rural states were identified using the Rural-to-Urban Continuum Codes, the Office of Management and Budget maps, or the Rural Assistance Center’s Frontier map where substantial portions of the state are frontier. The search included relevant references cited in each of the identified studies and in prior reviews of the literature on nutrition-related policy and environmental strategies. NOPREN colleagues also recommended relevant articles.
At least 2 members of the research team screened titles and abstracts and then reviewed the complete text of relevant articles to select articles for inclusion. To be included, the article had to report findings from empirical formative, process, or outcome research related to policy or environmental obesity-prevention strategies in rural communities in the United States or Canada. The term “rural” was broadly defined so as to allow for inclusion of any study in which authors described the setting as “rural,” “non-metro,” “small town,” or “remote” or a study conducted in counties that the Health Resources and Services Administration characterized as rural in 2005 (
Data were abstracted from each article by using a standardized form. The form included information about study population (eg, race/ethnicity, socioeconomic status), setting, geographic location, approaches used to adapt the intervention or its implementation to a rural setting, design, methods, and findings. All 17 data abstractors were trained using a strategy similar to that employed by the US Department of Agriculture (USDA) Center for Nutrition Policy and Promotion Nutrition Evidence Library (
Data from the consensus abstraction forms were integrated using data matrices. Four members of the research team reviewed the matrices to identify themes, and tables and narratives were created summarizing data related to those themes.
The search identified 663 articles, and 33 articles (reporting the findings from 29 studies) met inclusion criteria after exclusions (Figure) (
| Citation | Geographic Location | Setting(s) | Evaluation Type |
|---|---|---|---|
| Bachar et al, 2006 ( | Reservations, Western, North Carolina | Worksites, faith-based institutions, community | Process, outcome |
| Belansky et al, 2010 ( | Colorado | Schools | Process, outcome |
| Brown et al, 2010 ( | Reservations, Montana | Schools, small retail food outlets | Formative |
| Conrey et al, 2003 ( | New York | Farmers markets | Outcome |
| Curran et al, 2005 ( | Reservations, Arizona | Small retail food outlets, community | Process |
| Drummond et al, 2009 ( | Yuma County, Arizona | Child care | Outcome |
| Escoffery et al, 2011 ( | Southwest Georgia | Worksites | Formative |
| Flamm, 2011 ( | Ohio | Farmers markets | Formative |
| Fleischhacker et al, 2012 ( | American Indian tribes in North Carolina | Community | Formative |
| Gittelsohn et al, 2010 ( | First Nations, Nunavut, Canada | Small retail food outlets | Formative |
| Gombosi, 2007 ( | Tioga County, Pennsylvania | Schools, community, worksites | Outcome |
| Harris et al, 2010 ( | West Virginia | Schools | Process |
| Ho et al, 2006 and 2008 ( | First Nations, Ontario, Canada, | Schools, small retail food outlets | Formative, outcome |
| Johnston et al, 2009 ( | Broome County and Tioga County, New York | Schools | Outcome |
| Knol et al, 2010 ( | Southeastern United States | Health facilities | Outcome |
| Kunkel et al, 2003 ( | South Carolina | Farmers markets | Outcome |
| Laing et al, 2012 ( | Mason County, Washington | Worksites | Process, outcome |
| Mead et al, 2010 and 2013 ( | First Nation, Canadian Arctic | Small retail food outlets, community | Formative, outcome |
| Nanney et al, 2008 ( | Utah | Schools | Process |
| Novotny et al, 2011 ( | Hawaii | Small retail food outlets, community | Process |
| O’Brien et al, 2010 ( | Maine | Schools | Outcome |
| Phillips et al, 2013 ( | Arkansas | Schools | Process, outcome |
| Rosecrans et al, 2008 ( | First Nation, Ontario, Canada | Small retail food outlets, community, schools | Process, outcome |
| Ruelle et al, 2011 ( | Reservations, North Dakota and South Dakota | Farmers markets | Process |
| Schetzina et al, 2009 ( | Northeast Tennessee | Schools | Formative |
| Schwarte et al, 2010 ( | California Central Valley | Community, worksites, schools, public health | Process |
| Setala et al, 2011 ( | Reservations, Arizona, Utah, New Mexico | Small retail food outlets, farmers markets | Formative |
| Sussman and Davis, 2010 ( | New Mexico | Schools, small retail food outlets, community | Formative |
| Vastine et al, 2005 ( | Reservations, Arizona | Small retail food outlets | Formative |
Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) flow diagram for study inclusion is a systematic review of nutrition-related policy and environmental strategies for obesity prevention applied in rural communities. Abbreviations: CINAHL, Cumulative Index of Nursing and Allied Health Literature; PAIS, Public Affairs Information Service; NOPREN, Nutrition and Obesity Policy Research and Evaluation Network.
Of the 29 studies included, 4 took place in Canada (14%) and 25 in the United States (86%) (
The COCOMO strategy used most often was strategy 1, “increase availability of healthier food and beverage choices” (
| COCOMO Strategy Applied | Approaches to Adapting and Implementing Obesity Prevention Strategies in Rural Areas | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Citation | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | NS | Accommodate Distance | Tailor to Culture | Build Partnerships |
| Bachar et al, 2006 ( | x | x | ||||||||||||
| Belansky et al, 2010 ( | x | x | x | |||||||||||
| Brown et al, 2010 ( | x | x | x | x | ||||||||||
| Conrey et al, 2003 ( | x | x | x | |||||||||||
| Curran et al, 2005 ( | x | x | ||||||||||||
| Drummond et al, 2009 ( | x | x | ||||||||||||
| Escoffery et al, 2011 ( | x | x | x | x | ||||||||||
| Flamm et al, 2011 ( | x | x | x | |||||||||||
| Fleischhacker et al, 2012 ( | x | x | ||||||||||||
| Gittelsohn et al, 2010 ( | x | x | x | x | ||||||||||
| Gombosi et al, 2007 ( | x | |||||||||||||
| Harris et al, 2010 ( | x | x | x | |||||||||||
| Ho et al, 2006 and 2008 ( | x | x | x | x | ||||||||||
| Johnston et al, 2009 ( | x | x | x | |||||||||||
| Knol et al, 2010 ( | x | x | x | x | ||||||||||
| Kunkel et al, 2003 ( | x | x | ||||||||||||
| Laing et al, 2012 ( | x | |||||||||||||
| Mead et al, 2010 and 2013 ( | x | x | x | x | ||||||||||
| Nanney et al, 2008 ( | x | |||||||||||||
| Novotny et al, 2011 ( | x | x | x | x | ||||||||||
| O’Brien et al, 2010 ( | x | x | x | |||||||||||
| Phillips et al, 2013 ( | x | x | x | x | x | |||||||||
| Rosecrans et al, 2008 ( | x | |||||||||||||
| Ruelle et al, 2011 ( | x | x | x | |||||||||||
| Schetzina et al, 2009 ( | x | x | ||||||||||||
| Schwarte et al, 2010 ( | x | x | x | x | ||||||||||
| Setala et al, 2011 ( | x | x | ||||||||||||
| Sussman and Davis et al, 2010 ( | x | x | x | |||||||||||
| Vastine et al, 2005 ( | x | x | x | x | ||||||||||
Abbreviation: CDC, Centers for Disease Control and Prevention; COCOMO, Recommended Community Strategies and Measurements to Prevent Obesity in the United States; NS, not specified.
From CDC’s
Accommodate long distances to food sources.
Tailor strategies to distinct cultures and food preferences.
Build strong local partnerships when implementing strategies.
The literature reviewed yielded 3 themes related to strategy adaptation and implementation in rural communities (
Sixteen studies included data on the effectiveness of nutrition-related policy and environmental strategies (
| Citation | Design | Sample Size, Settings if Reported | Policy and Environment Change | Psychosocial Change | Behavioral Change | Biological Change |
|---|---|---|---|---|---|---|
| Bachar et al, 2006 ( | Pretest–posttest, no comparison | 1 school, up to 600 students | Increased availability of fruits and vegetables in school cafeterias | Improved knowledge about how to make healthier food choices among school children | — | — |
| Belansky et al, 2010 ( | Pretest–posttest, no comparison | 45 schools | Increased number of schools with nutrition-related policies | — | — | — |
| Conrey et al, 2003 ( | Time series, no comparison | All New York State FMNP participants | — | — | Increased redemption of FMNP coupons used to purchase produce at farmers markets | — |
| Drummond et al, 2009 ( | Pretest–posttest, no comparison | 17 child care centers | Increased number of child care centers with nutrition-related policies and environmental changes | — | — | — |
| Gombosi et al, 2007 ( | Pretest–posttest, nonrandomized comparison | 9 restaurants, approximately 4,200 students in 3 school districts and 2 private schools | 9 restaurants initiated menu labeling | — | — | BMI increased less among children in intervention versus comparison community |
| Ho et al, 2008 ( | Pretest–posttest, no comparison | 4 communities, 95 community members | Higher food acquisition and intention scores but not for food preparation, self-efficacy, or outcome expectancies | — | Weight status not changed | |
| Johnston et al, 2009 ( | Pretest–posttest, no comparison | 15 school districts, up to 40,000 students | Schools more consistently complied with existing policy limiting calories from fat and saturated fat in school meals | More parents perceived school lunches as nutritious at posttest compared with pretest | Increased purchases of fresh fruits and vegetables; 3% increase in participation of school meal programs | — |
| Knol et al, 2010 ( | Pretest–posttest, no comparison | 5 transitional group homes for clients with mental illness; 65 clients | Group homes implemented policies about food options available in vending machine and cafeterias | — | — | Weight loss among most overweight and obese residents |
| Kunkel, 2003 ( | Postsurvey | Unspecified number of farmers markets, 658 seniors participating in SFMNP in South Carolina | Farmers markets increased use of SFMNP | Increased intentions to eat fruits and vegetables year round, food preparation knowledge, and purchases of produce they had never tried before | — | — |
| Laing et al, 2012 ( | Pretest–posttest, no comparison | 23 worksites | Increase in number of worksites with a health-related policy | — | — | — |
| Mead et al, 2013 ( | Pretest–posttest, non-randomized comparison | 4 communities, | — | Increased knowledge, self-efficacy, and intentions related to healthy foods among intervention participants compared with control group; decrease in healthy and unhealthy food acquisition scores | — | No change in BMI |
| O'Brien et al, 2010 ( | Cross sectional | 123 intervention schools, 205 control schools; 80,428 students | Increased number of schools with nutrition-related policies; increased odds of having healthy foods available at school events | — | Reduced odds of students drinking more than 2 sodas per week | — |
| Phillips et al, 2013 ( | Pretest–posttest, no comparison | All public schools in the state; number ranged from 113 to 496 per school | Increased availability of healthy versus unhealthy foods and beverages available in schools | — | Reduced purchasing of beverages from vending machines among adolescents with access to vending machines; no change in reported soda consumption | — |
| Raczynski et al, 2009 ( | Pretest–posttest, no comparison | Statewide policy | Increased number of schools with nutrition-related policies and increased availability of healthy versus unhealthy foods and beverages | — | — | Percentage of overweight and obese children remained stable after the policy went into place |
| Saksvig et al, 2005 ( | Pretest–posttest, no comparison | 1 school, 122 students | School initiated a policy banning high-fat and high-sugar snack foods; initiated a school breakfast program | Improved dietary knowledge, intention, self-efficacy | Decreased percentage of energy from fat among boys, not girls; Increased fiber intake, especially among those participating in school breakfast program | BMI and percent body fat increased |
Abbreviation: —, not measured; BMI, body mass index; FMNP, Farmers Market Nutrition Program; SFMNP, Senior Farmers Market Nutrition Program.
Twelve of the studies (41%) reporting outcomes documented healthier food environments and policies following the intervention in schools (n = 7, 24%), health facilities (n = 1, 3%), child care centers (n = 1, 3%), restaurants (n = 1, 3%), farmers markets (n = 1, 3%), and worksites (n = 1, 3%).
Ten studies included interventions’ effects on health behaviors or theoretical constructs that are predictive of those behaviors (
Weight status was the only health outcome reported in the reviewed studies (n = 6, 21%) (
We assessed the state of research on nutrition-related policy and environmental strategies for obesity prevention in rural communities. The review identified 29 studies that implemented COCOMO nutrition-related policy and environmental strategies in rural communities. Other obesity prevention reviews have typically focused on effectiveness or looked at specific populations and settings. This review included studies conducted with varied populations and settings and thus findings were too diverse to empirically assess effectiveness. Instead, our findings provide guidance on adapting and implementing policy and environmental strategies in rural communities.
In support of our a priori hypothesis, we found that many, but not all, COCOMO strategies were applied in rural settings (
In rural communities, policy and environmental strategies that aim to increase access to healthy foods may also promote economic development through support of farmers, retail stores, and other businesses involved in food production, distribution, and sales (
Almost one-third of the studies (n = 10; 34%) were conducted with American Indian tribes or First Nations of Canada. Most of these studies (70%) were conducted in small retail settings (
Our aim was to obtain a broad picture of nutrition-related policy and environmental strategies to prevent obesity in rural communities to identify gaps and guide future research. Efforts were made to identify all relevant studies. Formative, process, and outcome evaluation studies were identified for this review, which limited our ability to compare findings across studies, as did what data were collected and reported. Many of the studies were formative. Those studies that assessed outcomes typically involved only a small number of settings and were often quasi-experimental in design. Furthermore, as with all reviews, the study was constrained by limitations in the existing literature and publication bias. Only a limited amount of research on nutrition-related policy and environmental strategies for obesity prevention in rural areas has been published in peer-reviewed journals. The authors recommend consulting websites, gray literature, and other forms of reporting for additional insight into effectiveness and implementation considerations for policy and environmental-level nutrition interventions in rural areas. Finally, we used several strategies to identify studies that were conducted in rural settings; however, studies conducted in rural areas that did not explicitly indicate that they dealt with rural settings may not have been captured in our search.
These findings help to inform the adaption and implementation of nutrition-related policy and environmental strategies for obesity prevention in rural communities. Although our review was not able to provide policy-makers with information about the effectiveness of different policy approaches, these findings offer insights into the various options available to improve the food environment in rural communities. Moreover, decision-makers should understand the limitations of adopting strategies generated from and tested in geographically diverse settings. The findings also indicate the need for additional research. One major research gap that remains is the limited number of studies testing effectiveness of nutrition-related policy and environmental strategies in rural communities. Future work could identify strategies that have not yet been formally evaluated but that could be feasible in rural communities, such as mobile farmers markets and community garden initiatives.
This study was conducted as a joint project of the CDC-funded NOPREN Rural Food Access Working Group (grant no. 5-37850). This work was also supported by the CDC-funded University of North Carolina at Chapel Hill Prevention Research Center (no. U48/DP000059). Michelle Schreiner’s and Clint Owens’s work was supported by grants no. T32NR007091 and no. 5T32NR008856 from the National Institute of Nursing Research. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC, the USDA, or the National Institutes of Health.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.