Abstract
Underserved minority populations in the US Affiliated Pacific Islands (USAPI), Hawaii, and Alaska display disproportionate rates of childhood obesity. The region’s unique circumstance should be taken into account when designing obesity prevention interventions. The purpose of this paper is to (a), describe the community engagement process (CEP) used by the Children’s Healthy Living (CHL) Program for remote underserved minority populations in the USAPI, Hawaii, and Alaska (b) report community-identified priorities for an environmental intervention addressing early childhood (ages 2–8 years) obesity, and (c) share lessons learned in the CEP. Four communities in each of five CHL jurisdictions (Alaska, American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Hawai‘i) were selected to participate in the community-randomized matched-pair trial. Over 900 community members including parents, teachers, and community leaders participated in the CEP over a 14 month period. The CEP was used to identify environmental intervention priorities to address six behavioral outcomes: increasing fruit/vegetable consumption, water intake, physical activity and sleep; and decreasing screen time and intake of sugar sweetened beverages. Community members were engaged through Local Advisory Committees, key informant interviews and participatory community meetings. Community-identified priorities centered on policy development; role modeling; enhancing access to healthy food, clean water, and physical activity venues; and healthy living education. Through the CEP, CHL identified culturally appropriate priorities for intervention that were also consistent with the literature on effective obesity prevention practices. Results of the CEP will guide the CHL intervention design and implementation. The CHL CEP may serve as a model for other underserved minority island populations.
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Introduction
Childhood obesity prevalence and its associated health complications have become a major national and global public health issue. Obese and overweight children are at risk for serious chronic illnesses [1–16]. Striking disparity is found in US childhood obesity prevalence; indigenous groups, including US Affiliated Pacific Islanders, Native Hawaiians and Alaska Natives, are disproportionately affected [17–23]. For example, a state of emergency has been declared in the US Affiliated Pacific Islands (USAPI) due to the high prevalence of chronic health conditions in both adults and children in these island communities [24].
Individual level obesity prevention efforts promote short-term behavior change but may not have a significant or sustainable impact on childhood obesity [25] amidst an obesogenic environment [26]. Since the environment, i.e., the cumulative living conditions surrounding a child, is associated with childhood obesity [27–30], interventions for young children that use sustainable, multi-strategy, and multi-setting approaches are needed [31]. An ecological approach, which targets the individual, social and built environments, and policies [32, 33], expands the potential of prevention efforts to address critical upstream determinants of obesity-related behaviors, to influence larger populations and to have a long-term, sustainable impact [34]. Although evidence from ecological approaches is promising [35, 36], larger scale, adequately powered studies are needed.
A process for understanding which ecological approaches are most appropriate and have the highest probability of success over the long term is also needed. Young children are especially sensitive to environmental changes given their rapid growth and captive state as they are less able to exert personal choice within their family, school, and community environments [37]. Focusing on the environment as a mode for intervening to prevent early childhood obesity requires partnering with people that have first-hand knowledge of that environment (i.e., the people who live/experience that setting) to ensure applicability. In remote, underserved minority populations, such as within the USAPI, Hawaii and Alaska (will be referred to as USAPI/HI/AK throughout the remainder of the paper), a community-based approach to environmental interventions may be especially appropriate [38]. Community-based approaches allow for cultural context to be applied, trusting relationships to be forged and contributes to leveling the playing field between community members and researchers [39–42]. Community-based approaches focus on establishing relationships with community “experts” to build the community’s capacity to promote the desired outcome.
Community-based processes are also highly compatible with an assets-based philosophy, such as positive deviance, which is an approach to identify locally available, sustainable, and effective strategies suitable for a community [43, 44]. Positive deviance is based on the observation that in communities a few at-risk individuals follow uncommon, beneficial practices that result in better health outcomes than their neighbors who share similar risks [43]. Drawing on the local knowledge from these few individuals (i.e., positive deviants) to develop interventions has the potential to increase affordability, acceptability and sustainability of community-based action, since local culture is already well-integrated into the behaviors/practices that resulted in a positive outcome [43, 45].
Community-based approaches may be particularly critical for indigenous populations for whom mainstream models of childhood obesity prevention may have limited application. Through community partnerships cultural attunement is ensured leading to the strengthening of study design and implementation to more effectively address complex problems [41, 42, 46]. Community-based processes have been demonstrated to be a critical step to developing sustainable and successful young child obesity prevention programs for islands in the South Pacific [47, 48].
This paper describes the community engagement process (CEP) used by the Children’s Healthy Living (CHL) Program for remote underserved minority populations in the USAPI/HI/AK. CHL used the CEP to seek alignment and collaboration with community partners throughout Alaska, American Samoa, the Commonwealth of the Northern Mariana Islands (CNMI), Guam, and Hawai‘i to meaningfully address childhood obesity. This paper also highlights the overall priorities for environmental intervention strategies identified by communities for community-based, environmentally focused childhood obesity prevention in the USAPI/HI/AK Region and the lessons learned from the CEP. The information presented here can guide future children’s obesity prevention programs and policies and serve as a model for other island regions with remote, underserved native populations at high risk for obesity.
Description of the Region and Program
The US Affiliated Pacific Island (USAPI), Hawaii and Alaska Region (USAPI/HI/AK)
The USAPI/HI/AK region is vast and isolated, covering more area in the Pacific Ocean (one million square miles) than the contiguous US does on land. The ocean is viewed as part of the natural resource of the region, as land is on the American continent. The remote vastness of the region promotes a multitude of small, diverse, widely dispersed cultures (including subsistence cultures) living in unique environments with delicate ecosystems. Nonetheless, the USAPI/HI/AK is characterized by a number of shared strengths that can be leveraged to promote healthy living. Indigenous groups in the USAPI/HI/AK maintain a strong traditional culture that includes valuing the group in favor of the individual, respecting elders and the family unit, and prizing healthy subsistence foods (e.g., taro, fish). These attributes, coupled with the unifying US land grant college infrastructure throughout the region, present a unique opportunity to join together to create a larger voice to address childhood obesity and improve child health in the USAPI/HI/AK.
The CHL Program
Collaborators from land grant colleges and universities [49, 50] in Alaska, American Samoa, CNMI, Guam, the Federated States of Micronesia (FSM), Hawai‘i, the Republic of the Marshall Islands (RMI), and the Republic of Palau (RP) formed the CHL Program. The land grant system [49, 50], one of the few unifying institutions across the USAPI/HI/AK, provided a suitable infrastructure for regional collaboration. The CHL Program was developed in response to the United States Department of Agriculture (USDA) Agriculture and Food Research Initiative to develop a multi-state/jurisdiction, multi-institutional, and multi-disciplinary team to integrate knowledge about child nutrition, physical activity, and social and environmental influences on childhood obesity in order to develop and implement a large-scale, multifaceted, community-based, and environmentally-focused intervention for preventing early childhood obesity (ages 2–8 years).
The overall goal of the CHL program is to strengthen the children’s environments to better promote active play and intake of healthy food in order to prevent early childhood obesity in the USAPI/HI/AK, which are located in the northern Pacific Ocean (except American Samoa). For CHL, the environment is broadly construed and includes the social, cultural, physical/built [51], political, and economic contexts of children’s lives. CHL seeks to develop, implement, and evaluate a community-based environmental intervention to address six target health behaviors proposed by the investigators and subsequently required by the funder (USDA): (a) increase the consumption of fruits and vegetables (b) increase water intake, (c) decrease intake of sugar-sweetened beverages, (d) increase physical activity, (e) increase the duration of sleep, and (f) decrease screen time (e.g., TV and recreational screen use).
Methods: The CHL Community Engagement Process
The overall goal of the CHL CEP was to foster partnerships with CHL communities to jointly develop a community-based, multi-level, sustainable environmental intervention to prevent childhood obesity. The CHL CEP was informed by the analysis grid for elements linked to obesity (ANGELO) action model, a community and ecologically based framework used to develop environmental interventions to reduce childhood obesity in three island nations and a community in Australia, located in the South Pacific region [31, 37, 52, 53]. The ANGELO action model includes both a conceptual framework for analyzing obesigenic environments and a process model for engaging community stakeholders. In the ANGELO conceptual framework, environments are cross-categorized by size and type [37]. In the ANGELO process model, community members and researchers use the conceptual framework to analyze the assets and liabilities of a community’s environment, prioritize areas amendable to productive change, and develop an action plan [37]. Therefore, the CHL CEP was a multi-step process guided by a CHL specific conceptual model that engaged key stakeholders through a local advisory committee, key informant interviews, community meetings (CM) and community feedback meetings (CFM) (see Fig. 1 for a description of the purpose, membership, and process of each group and Fig. 2 for the CHL conceptual framework for community engagement). In this paper we focus on the CM and CFM, the goals of which were to (a) identify each CHL community’s assets and needs relating to healthy eating and active living, and (b) prioritize environmental intervention strategies relating to healthy eating and active living in order to inform intervention development.
Children’s Healthy Living (CHL) Program conceptual framework for community engagement. F&V fruit & vegetable, SSB sugar-sweetened beverage, PA physical activity. The double solid line boxes represent the CHL primary objective of promoting a healthy child through a healthy weight. The solid line boxes relate to the six CHL target health behavioral objectives required by the funding agency. The dash line boxes relate to factors that influence the attainment of the CHL target health behavioral objectives: identifying resource types, availability and ease of access; possible intervention strategies prioritized by importance and feasibility; existing challenges to healthy behavior and the potential malleability of these obstacles. The dotted line boxes relate to the environmental domains that the factors that influence the attainment of the CHL target health behavioral objectives (see schematic: resources/availability, strategies/importance, and challenges/chanegability) operate in.
Institutional Review Board approval from the University of Alaska Fairbanks, University of Guam, and University of Hawai‘i at Manoa were attained prior to the initiation of the CEP. American Samoa Community College and the Northern Mariana College ceded their Institutional Review to the University of Hawai‘i at Manoa.
In addition, approvals for working with PreSchool and Head Start (a US federally funded program that educates preschool-age children and their families) teachers and parents were received in coordination with the program directors and/or boards (e.g., Tribal), when appropriate, in all jurisdictions. Other local level approvals included approvals from the chiefs (matai) and ministers (faifeau) of pertinent American Samoan villages and the participating village mayors in Guam.
Selection of Target Communities within Each Jurisdiction
Four communities were selected in each of the five jurisdictions in order to form two matched pairs per jurisdiction for a total of 20 communities. Later, each community with a matched-pair was randomized to intervention or delayed intervention. Community selection was based on the following eligibility criteria, identified using the 2000 US Census tract data [54]: population size of >1,000, >25 % of the population of indigenous/native descent (15 % in Alaska due to no census tract with population of 1,000 having more than 25 %), and >10 % of the population under age 10 years (based on combining census tract data groups of <5 years of age and 5–9 years of age, in order to have sufficient population for CHL targeting of 2–8 year olds). Additional criteria included adequate settings for sampling children (e.g., schools), that children live and go to school in the same community, minimal risk of contamination between matched-pair communities, reasonable accessibility for the CHL team, community cohesiveness, and sufficient settings for intervention (e.g., community centers, parks, churches, and stores).
Recruitment Methods
A non-probability, convenience sampling scheme was used to recruit participants for the CM and CFM from each of the selected CHL communities (see Fig. 1). Participants that either resided or worked in the target communities were invited to attend. Each jurisdiction used their Local Advisory Committees (LAC) and key informants to assist with developing lists of potential participants who would be good representatives of one of three constituent groups—community leaders, teachers, and parents. Additional potential participants were identified using contact and member listings from consortia and organizations sharing similar objectives (e.g., Non-Communicable Disease Consortium) or serving similar populations (e.g., early childhood education centers) as CHL and CHL staff contacts within the communities.
The recruitment process in each jurisdiction followed specific cultural protocols. In Hawai‘i, Guam, and Alaska, CM and CFM recruitment flyers were distributed over professional networks or paper copies were posted at various locations in the community. Letters of invitation were also hand delivered and emailed. In CNMI, the CHL team recruited participants via email and telephone. In American Samoa, the recruitment method used an involved and protracted cultural protocol under the direction of a High Orator Chief (Author AARA) who met one on one with each potential participant based on a chain of contact system.
Community Meetings (CM) and Community Feedback Meetings (CFM)
The goals of the CMs and CFMs were to identify assets and needs around healthy eating and active living among children ages 2–8 years and to identify priorities for the intervention in CHL communities. Specifically, facilitated group discussions: (a) identified factors that promote or hinder healthy living, (b) identified community resources that could be leveraged to promote healthy living, and (c) prioritized potential environmental intervention strategies.
Questions for the CM facilitated group discussions were developed in accordance with the CHL conceptual framework (see Fig. 2) and the positive deviance approach (e.g., focusing on the strengths) [43]. Separate questions were written for each of the three constituent groups—parents, teachers, and community leaders—to elicit constituent-specific ideas (see Table 5 in “Appendix”). For example, teachers were asked whether their school allowed sugar sweetened beverages, while community leaders were asked about local policies related to sugar-sweetened beverages. In instances when participants identified with more than one constituent group (e.g., parent and teacher), they were asked to select and participate in the group they most strongly identify with. Questions were pre-tested to ensure cultural appropriateness and clarity. The CFM were held after the CM and the facilitated group discussions focused on the assets, needs and resources identified in the CM.
The CMs and CFMs were guided by trained facilitators who were instructed to remain neutral to the discussion [55]. Ground rules were agreed upon prior to the start of every meeting to ensure a safe and open venue for communication [55]. CM and CFM discussions were recorded on flip chart paper. The written record served as the group memory and was used to facilitate CM and CFM discussion [55]. Constituent group discussions were also recorded using digital recorders to provide further detail during analysis. Meetings were conducted in English in all jurisdictions except in American Samoa where Samoan was used.
Qualitative Analysis—Community Meetings (CM)
The group memory served as the primary tool for qualitative analysis for the CM. Participants were asked to prioritize key points elicited during the CM based on importance and changeability. Prioritization was determined by a facilitated group agreement process in which before moving on to the next discussion item participants were asked to confirm if they could live with and agree to the prioritized items [55]. In Guam and in one of the constituent group (parents) in Hawai‘i, prioritization of the CM group memory was achieved by thematic content analysis through a clustering/coding process [56] using transcribed group memory responses to yield a list of the three to five main priorities made in response to each question. The priorities identified in the group memories were then aggregated across the parent, teacher, and leader groups in each community to form community-specific priorities. Because questions for each group were similar but not identical, questions and responses were clustered by topic or content area. Data from the four communities per jurisdiction were then aggregated to identify jurisdiction priorities. Priorities from each jurisdiction were then compared to identify CHL-wide themes.
Qualitative Analysis—Community Feedback Meetings (CFM)
For the CFM, analysis was begun at each jurisdiction. For the purposes of intervention development, only the communities randomized to intervention were included in the analysis. The CFM in the delayed intervention communities focused on the CHL delayed intervention proposal and timeline. Jurisdiction- and community-specific priorities for environmental intervention strategies to promote each target behavior were shared. A facilitated discussion regarding the proposed environmental intervention strategies was held [55] and then participants ranked in each CHL target health behavior their top two (based on importance and changeability) proposed environmental intervention strategies. Another facilitated discussion followed to gather further feedback on the ranking process. After the meeting, voting results were tabulated for each CHL target health behavior for each state/jurisdiction. Jurisdiction voting results were then combined to identify the most endorsed CHL wide priorities for environmental intervention strategies.
Results
The CHL CEP was implemented over a 14 month period (April 2011–June 2012). In this time period, each CHL jurisdiction met with their LAC at least twice. CM were conducted between November 2011 and February 2012 after the initial LAC meetings and multiple community key informant meetings. CFM were held between May and June 2012. Across the 5 jurisdictions 912 individuals representing a range of stakeholders participated in the CHL CEP (See Table 1). Parents and teachers were especially well represented in the CHL CEP. In many instances, participants who attended the CM also attended the CFM.
Community meeting priorities for environmental intervention strategies that were identified in all CMs held in a CHL state/jurisdiction are presented in Table 2. The four communities in American Samoa shared the highest number of priorities while the four communities in CNMI shared the least. The priorities for environmental intervention strategies that were most commonly suggested across CHL are identified in Table 3. Access to healthy, locally-grown food was a priority common across all five jurisdictions. Influencing policies (both school and governmental) to incur healthier behaviors were also identified as important and changeable in four out of five jurisdictions. Limiting screen time was a priority only in American Samoa and Hawai‘i. All participants received a brief summary of community-specific meeting findings in formal letters. CM participants were in support of CHL working in partnership with their communities to develop the CHL Program.
Environmental intervention priorities focused on infrastructure, access, role modeling and education were the most endorsed (e.g., received the most votes) across the CHL region for the CHL target health behaviors (See Table 4). Feedback from community members during the CFM-facilitated discussion stressed that to ensure CHL program success and sustainability, communities need to take ownership of the CHL initiative (Guam and American Samoa) and that CHL needs to incorporate cultural practices (CNMI, Hawai‘i and American Samoa) and be a catalyst for enhancing local resources/programs already directed at tackling the childhood obesity issue (Alaska and Guam).
Discussion
The multi-step CEP successfully prioritized environmental intervention strategies for intervention program development in participating communities from the USAPI/HI/AK. These priorities focused on policy development, enhancing access to locally grown fruit and vegetables, engaging identified role models (e.g., parents, grandparents, older siblings), increasing access for safe physical activity venues and to clean water, and the provision of education to young children ages 2–8 years and to other influential adults to support healthy eating and physical activity. The priorities span the multiple levels of influence on a child’s health, ranging from the individual level (e.g., dietary intake) to the governmental level (e.g., policy) suggesting that following an ecological, community-based approach such as the ANGELO model is a viable approach [52]. Since recommendations have been made in the literature [57] to encourage the publishing of formative research on program development, and because the USAPI/HI/AK populations are underrepresented in the literature, a major objective of this paper was to provide to the wider scientific audience the CHL CEP used in the underserved and minority populations of the USAPI/HI/AK.
Interestingly, many of the environmental intervention strategies are similar to other previously successful childhood obesity prevention approaches [47, 58–65]. Group agreement and participant voting was the primary method used for the prioritization to ensure that identified priorities were community driven [55], while aligning with program behavioral objectives. No information on evidence-based priorities was provided to participants prior to the CM or the CFM. The alignment between the evidence-base and the community’s perspective suggests that the community is an appropriate resource to determine how CHL can positively affect the environment to promote healthy eating and physical activity, a finding well received by community members at the end of the CEP.
The ability to identify community priorities for environmental intervention strategies may have been an outcome of bridging the gap between constituencies. Community leaders, parents, and other members of the community invested in child health were invited to the table to share openly and honestly. For example, at the onset of all CM and CFM, CHL staff and participants agreed upon ground rules to create a safe space for discussion [55]. Impartial facilitators promoted full participation ensuring that all had an opportunity to share while the use of facilitated small group discussions among like constituencies allowed for a less intimidating environment. We found that the communities were grateful for the opportunity to discuss the threat of childhood obesity in their community and were eager to provide input. Overall, participants assumed community responsibility and recognized the importance of all levels of the community working together to address the problem.
The CEP allowed CHL to identify priorities for environmental intervention strategies for the USAPI/HI/AK so that the CHL team could build a sustainable intervention operation framework for implementation. However, since no community is alike, especially spanning the Pacific Rim, applying the findings into developing each community’s intervention program is the next step. A positive aspect of the CHL CEP was that it allowed for the unique priorities, assets, and resources of each participating community to be identified. Correspondingly, the process assisted in the identification of potential community champions, especially evident by community partners who were involved in multiple stages of the CEP, who are significant players in community-based intervention success [52]. The CEP also ensured that a jurisdiction’s unique issues could also be identified. For example, in American Samoa and the CNMI, the cultural preference for oral versus written communication of messages was expressed multiple times. Oral interaction was identified as important to ensure that the interpretation of results (e.g., priorities for environmental intervention strategies) is culturally-based. These findings will influence the dissemination strategies for intervention messages in American Samoa and CNMI. None-the-less, there was also motivation to be recognized as a USAPI/HI/AK Regional group, recognizing the potential additional power of a shared regional vision in affecting policy and other change.
One limitation to our community-based processes related to balancing the intentions of a community-based and participatory process with our requirements and obligations as a federal grantee. The CHL team recognizes that a truly community-based participatory research (CBPR) process [66] was not used. Though the intent was to use CBPR, many of the parameters and structure of the program were required to be set prior to receipt of the grant. As a result, community members did not have complete leeway to set project goals, objectives, and outcomes. For example, the six outcomes and target behaviors to prevent childhood obesity were set during the initial grant application process (although they built on prior work with the USAPI and Hawaii communities). Also, meeting the scientific expectation of a level of standardization of methodological approach across the culturally diverse USAPI/HI/AK where access to resources (e.g., high speed internet) is quite varied is challenging. Grant writing, where structural domains are set in place, does not lend itself to truly being CBPR [67] as it lacks the flexibility inherent to the CBPR process [65]. However, the CHL Program is an outcome of many years of collaborative, community-based work among partners in the USAPI and Hawaii [20, 68–72]. The pre-planning for CHL included a grant application regional planning meeting (May 2011), which involved a variety of stakeholders and professionals in the field from the USAPI/HI/AK, who all agreed upon the strongest leadership profile to ensure successful competition for the grant. A grant of this scale continues to pose the management challenge of balancing between research structures and being community-based. With many existing partners, bringing new partners into the management structure is challenging, so compromise and adherence to common protocols is needed to yield group results. In most cases, the USAPI/HI/AK’s cultural value of the group and the power of contributing to something larger than one’s own community facilitates CHL’s progress.
One important outcome of the CHL CEP was the lessons learned. As mentioned earlier, the USAPI is especially resource-limited reinforcing the need to collaborate with not only land-grant institutions and governmental agencies (e.g., Department of Health) but also with community-based organizations and agencies that have a vested interest in health and who are ultimately going to sustain health in the local communities. Establishing community liaisons (e.g., community champions) became essential to ensure appropriate linkages with the agencies and organizations that span the USAPI/HI/AK were formed. Forming these linkages required an intensive investment of time to ensure that appropriate cultural protocols were followed, especially for US and Non-US Affiliated Pacific Islander populations who prefer oral and group processes [73]. Though challenging in research protocols, being adaptable and flexible is also essential. For example, CHL staff needed to quickly adapt to situations in community meeting events when not everyone that is invited attends or when attending individuals were not originally invited. Jurisdictions also had to be willing to reschedule activities that conflicted with the holiday season or other cultural events. Another important aspect is that what works in one jurisdiction does not always work in another (e.g., comment cards were not considered appropriate in American Samoa). Rather than developing rigid protocols for implementation, guideline templates are put forth so each jurisdiction can identify and discuss with the coordinating work group how to make adaptations, if needed.
As demonstrated in the OPIC Study in the South Pacific [47], engaging the community in the intervention development process significantly impacts CHL intervention effectiveness [37, 52]. The CEP ensured that the communities not only provided the initial input but also prioritized and verified that community interpretations resonated and were culturally appropriate. For example, the CEP provided specific language, examples, and the culturally contextualized perspective. Repeated engagement allowed for community validation, which is important in collectivist cultures of the USAPI, Hawaii and the Native populations of Alaska, and will be influential during intervention implementation.
Conclusion
The CHL CEP was a viable community-based process covering a vast region with a variety of cultures. It allowed for flexibility while integrating commonalities. The CHL CEP identified community-based priorities for environmental intervention strategies that would inform CHL intervention program development and implementation in Alaska, American Samoa, CNMI, Guam and Hawai‘i. These priorities focused on promoting healthy eating and physical activity policy, training and supporting role models, enhancing access to fruits, vegetables, water and safe play and providing education/training. The CHL CEP is being adapted for use in the FSM, RMI, and RP. The approach taken by CHL to develop a community-based environmentally-focused child obesity prevention intervention may also be useful for other regions of the Pacific or in other underserved, minority island populations.
References
Gortmaker, S. L., Must, A., Perrin, J. M., et al. (1993). Social and economic consequences of overweight in adolescence and young adulthood. New England Journal of Medicine, 329(14), 1008–1012.
Mendelson, B. K., & White, D. R. (1982). Relation between body-esteem and self-esteem of obese and normal children. Perceptual and Motor Skills, 54(3), 899–905.
Wallace, W. J., Sheslow, D., & Hassink, S. (1993). Obesity in children: A risk for depression. Annals of the New York Academy of Sciences, 699, 301–303.
Stunkard, A., & Burt, V. (1967). Obesity and the body image. II. Age at onset of disturbances in the body image. American Journal of Psychiatry, 123(11), 1443–1447.
Schuster, D. P. (2009). Changes in physiology with increasing fat mass. Seminars in Pediatric Surgery, 18(3), 126–135.
Loder, R. T., Aronson, D. D., & Greenfield, M. L. (1993). The epidemiology of bilateral slipped capital femoral epiphysis. A study of children in Michigan. Journal of Bone and Joint Surgery American Volume, 75(8), 1141–1147.
Corbett, J. J., Savino, P. J., Thompson, H. S., et al. (1982). Visual loss in pseudotumor cerebri. Follow-up of 57 patients from five to 41 years and a profile of 14 patients with permanent severe visual loss. Archives of Neurology, 39(8), 461–474.
Durcan, F. J., Corbett, J. J., & Wall, M. (1988). The incidence of pseudotumor cerebri. Population studies in Iowa and Louisiana. Archives of Neurology, 45(8), 875–877.
Scott, I. U., Siatkowski, R. M., Eneyni, M., et al. (1997). Idiopathic intracranial hypertension in children and adolescents. American Journal of Ophthalmology, 124(2), 253–255.
Kaplan, T. A., & Montana, E. (1993). Exercise-induced bronchospasm in nonasthmatic obese children. Clin Pediatr (Phila), 32(4), 220–225.
Marcus, C. L., Curtis, S., Koerner, C. B., et al. (1996). Evaluation of pulmonary function and polysomnography in obese children and adolescents. Pediatric Pulmonology, 21(3), 176–183.
Friesen, C. A., & Roberts, C. C. (1989). Cholelithiasis. Clinical characteristics in children. Case analysis and literature review. Clin Pediatr (Phila), 28(7), 294–298.
Strauss, R. S., Barlow, S. E., & Dietz, W. H. (2000). Prevalence of abnormal serum aminotransferase values in overweight and obese adolescents. Journal of Pediatrics, 136(6), 727–733.
Chathurvedi, D., Khadgawat, R., Kulshrestha, B., et al. (2009). Type 2 diabetes increases risk for obesity among subsequent generations. Diabetes technology and therapeutics, 11(6), 393–398.
Holst-Schumacher, I., Nunez-Rivas, H., Monge-Rojas, R., et al. (2008). Insulin resistance and impaired glucose tolerance in overweight and obese Costa Rican schoolchildren. Food and Nutrition Bulletin, 29(2), 123–131.
Radetti, G., Kleon, W., Buzi, F., et al. (2008). Thyroid function and structure are affected in childhood obesity. Journal of Clinical Endocrinology and Metabolism, 93(12), 4749–4754.
Anderson, S. E., & Whitaker, R. C. (2009). Prevalence of obesity among US preschool children in different racial and ethnic groups. Archives of Pediatrics and Adolescent Medicine, 163(4), 344–348.
Pleis, J. R., & Lethbridge-Cejku, M. (2007). Summary health statistics for US adults: National Health Interview Survey, 2006. Vital Health Statistics, 10(235), 1–153.
Centers for Disease Control and Prevention. (2011). Obesity in K–8 students—New York City, 2006–2007 to 2010–2011 School years. MMWR Morbidity and Mortality Weekly Report, 60(49), 1673–1696.
Paulino, Y. C., Coleman, P., Davison, N. H., et al. (2008). Nutritional characteristics and body mass index of children in the Commonwealth of the Northern Mariana Islands. Journal of the American Dietetic Association, 108(12), 2100–2104.
Baruffi, G., Hardy, C. J., Waslien, C. I., et al. (2004). Ethnic differences in the prevalence of overweight among young children in Hawaii. Journal of the American Dietetic Association, 104(11), 1701–1707.
Bartlett, S., Bobronnikov, E., Mendelson, M., et al. (2007). WIC Participant and Program Characteristics 2006, WIC-06-PC. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, Office of Analysis, Nutrition and Evaluation.
Ogden, C. L., Carroll, M. D., Kit, B. K., et al. (2012). Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. The journal of the American Medical Association, 307(5), 483–490.
The Burden of Non-Communicable Disease, Stat. Board Resolution #48-01 Pacific Islands Health Officers Association, United States Affiliated Pacific Islands, 2010.
Summerbell, C. D., Waters, E., Edmunds, L. D., et al. (2005). Interventions for preventing obesity in children. The Cochrane Database of Systematic Reviews, 3, CD001871.
Popkin, B. M., Duffey, K., & Gordon-Larsen, P. (2005). Environmental influences on food choice, physical activity and energy balance. Physiology and Behavior, 86(5), 603–613.
Arcan, C., Hannan, P. J., Fulkerson, J. A., et al. (2012). Associations of home food availability, dietary intake, screen time and physical activity with BMI in young American-Indian children. Public Health Nutrition, 1–10.
Pabayo, R., Spence, J. C., Cutumisu, N., et al. (2012). Sociodemographic, behavioural and environmental correlates of sweetened beverage consumption among pre-school children. Public Health Nutrition, 1–9.
de Jong, E., Visscher, T. L., Hirasing, R. A., et al. (2011). Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. International Journal of Obesity (London).
Burns, J. J., Goff, S., Karamian, G., et al. (2011). The relationship between local food sources and open space to body mass index in urban children. Public Health Reports, 126(6), 890–900.
Swinburn, B., Pryor, J., McCabe, M., et al. (2007). The Pacific OPIC Project (Obesity Prevention in Communities)—objectives and designs. Pacific Health Dialog, 14(2), 139–146.
McLeroy, K. R., Bibeau, D., Steckler, A., et al. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15(4), 351–377.
Huang, T. T., Drewnosksi, A., Kumanyika, S., et al. (2009). A systems-oriented multilevel framework for addressing obesity in the twenty first century. Preventing Chronic Disease, 6(3), A82.
Sallis, J. F., Bauman, A., & Pratt, M. (1998). Environmental and policy interventions to promote physical activity. American Journal of Preventive Medicine, 15(4), 379–397.
Seymour, J. D., Yaroch, A. L., Serdula, M., et al. (2004). Impact of nutrition environmental interventions on point-of-purchase behavior in adults: A review. Preventive Medicine, 39(Suppl 2), S108–S136.
Foltz, J. L., May, A. L., Belay, B., et al. (2012). Population-level intervention strategies and examples for obesity prevention in children. Annual Review of Nutrition.
Swinburn, B., Egger, G., & Raza, F. (1999). Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Preventive Medicine, 29(6 Pt 1), 563–570.
Fialkowski, M. K., Okoror, T. A., & Boushey, C. J. (2012). The relevancy of community-based methods: Using diet within native American and Alaska native adult populations as an example. Clinical and Translational Science, 5(3), 295–300.
Hatch, J., Moss, N., Saran, A., et al. (1993). Community research: Partnership in black communities. American Journal of Preventive Medicine, 9(6 Suppl), 27–31.
Vega, W. A. (1992). Theoretical and pragmatic implications of cultural diversity for community research. American Journal of Community Psychology, 20(3), 375–391.
Schulz, A. J., Parker, E. A., Israel, B. A., et al. (1998). Conducting a participatory community-based survey for a community health intervention on Detroit’s east side. Journal of Public Health Management and Practice, 4(2), 10–24.
Altman, D. G. (1995). Sustaining interventions in community systems: On the relationship between researchers and communities. Health Psychology, 14(6), 526–536.
Marsh, D. R., Schroeder, D. G., Dearden, K. A., et al. (2004). The power of positive deviance. British Medical Journal, 329(7475), 1177–1179.
Lapping, K., Marsh, D. R., Rosenbaum, J., et al. (2002). The positive deviance approach: Challenges and opportunities for the future. Food and Nutrition Bulletin, 23(4 Suppl), 130–137.
Wishik, S. M., & Vynckt, S. (1976). The use of nutritional ‘positive deviants’ to identify approaches for modification of dietary practices. American Journal of Public Health, 66(1), 38–42.
Butterfoss, F. D., Goodman, R. M., & Wandersman, A. (1993). Community coalitions for prevention and health promotion. Health Education Research, 8(3), 315–330.
de Silva-Sanigorski, A. M., Bell, A. C., Kremer, P., et al. (2010). Reducing obesity in early childhood: Results from Romp and Chomp, an Australian community-wide intervention program. American Journal of Clinical Nutrition, 91(4), 831–840.
Nigg, C., Geller, K., Adams, P., et al. (2012). Successful dissemination of Fun 5—a physical activity and nutrition program for children. Behavioral Medicine Practice Policy Research, 2, 276–285.
Martin, M. V. (2001). The land-grant university in the twenty first century. Journal of Agricultural and Applied Economics, 33(2), 377–380.
Morrill, J. S. (1858). Speech of Hon. Justin S. Morrill on the bill granting lands for agricultural colleges delivered in the house of representatives (p. 1858). Washington, D.C.: Congressional Globe Office.
Centers for Disease Control and Prevention. (2005). Perceptions of neighborhood characteristics and leisure-time physical inactivity–Austin/Travis County, Texas, 2004. MMWR Morbidity and Mortality Weekly Report, 54(37), 926–928.
Simmons, A., Mavoa, H. M., Bell, A. C., et al. (2009). Creating community action plans for obesity prevention using the ANGELO (Analysis Grid for Elements Linked to Obesity) Framework. Health Promotion International, 24(4), 311–324.
Schultz, J., Utter, J., Mathews, L., et al. (2007). The Pacific OPIC Project (obesity prevention in communities): Action plans and interventions. Pacific Health Dialog, 14(2), 147–153.
US Census Bureau. Census 2000 Gateway. (2000). http://www.census.gov/main/www/cen2000.html. Accessed 17 Dec 2012.
Ching D. Facilitative skills for collaborative leaders. Pacific Center for Collaboration 2010.
Charmaz, K. (2002). Qualitative interviewing and grounded theory analysis. In J. Gubrium & J. A. Holstein (Eds.), Handbook of interview research (pp. 675–694). Thousand Oaks, CA: Sage Publications.
Khambalia, A. Z., Dickinson, S., Hardy, L. L., et al. (2012). A synthesis of existing systematic reviews and meta-analyses of school-based behavioural interventions for controlling and preventing obesity. Obesity Reviews, 13(3), 214–233.
Sallis, J. F., McKenzie, T. L., Alcaraz, J. E., et al. (1997). The effects of a 2-years physical education program (SPARK) on physical activity and fitness in elementary school students. Sports, Play and Active Recreation for Kids. American Journal of Public Health, 87(8), 1328–1334.
Economos, C. D., Hyatt, R. R., Goldberg, J. P., et al. (2007). A community intervention reduces BMI z-score in children: Shape Up Somerville first year results. Obesity (Silver Spring), 15(5), 1325–1336.
Manios, Y., Kafatos, A., & Mamalakis, G. (1998). The effects of a health education intervention initiated at first grade over a 3 year period: Physical activity and fitness indices. Health Education Research, 13(4), 593–606.
Davis, J. N., Ventura, E. E., Cook, L. T., et al. (2011). LA Sprouts: A gardening, nutrition, and cooking intervention for Latino youth improves diet and reduces obesity. Journal of the American Dietetic Association, 111(8), 1224–1230.
Dennison, B. A., Russo, T. J., Burdick, P. A., et al. (2004). An intervention to reduce television viewing by preschool children. Archives of Pediatrics and Adolescent Medicine, 158(2), 170–176.
Epstein, L. H., Gordy, C. C., Raynor, H. A., et al. (2001). Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obesity Research, 9(3), 171–178.
Gortmaker, S. L., Peterson, K., Wiecha, J., et al. (1999). Reducing obesity via a school-based interdisciplinary intervention among youth: Planet health. Archives of Pediatrics and Adolescent Medicine, 153(4), 409–418.
James, J., Thomas, P., Cavan, D., et al. (2004). Preventing childhood obesity by reducing consumption of carbonated drinks: Cluster randomised controlled trial. BMJ, 328(7450), 1237.
Israel, B. A., Schulz, A. J., Parker, E. A., et al. (1998). Review of community-based research: Assessing partnership approaches to improve public health. Annual Review of Public Health, 19, 173–202.
Ismail, S., Immik, M., Mazar, I., et al. (2003). Community-based food and nutrition programmes: What makes them successful. A review and analysis of experience. Rome: Food and Agriculture Organization of the United Nations.
Novotny, R., Vijayadeva, V., Ramirez, V., et al. (2011). Development and implementation of a food system intervention to prevent childhood obesity in rural Hawai’i. Hawaii Medical Journal, 70(7 Suppl 1), 42–46.
Gittelsohn, J., Vijayadeva, V., Davison, N., et al. (2010). A food store intervention trial improves caregiver psychosocial factors and children’s dietary intake in Hawaii. Obesity (Silver Spring), 18(Suppl 1), S84–S90.
Ramirez, V., Daniggelis, E., Gittelsohn, J., et al. (2004). Healthy foods Hawaii: Report of preliminary work and intervention ideas. Honolulu, HI: University of Hawai’i, Manoa and Johns Hopkins University.
Ramirez, V., Daniggelis, E., Gittelsohn, J., et al. (2005). Healthy foods Hawaii: Summary report from North Kohala community workshop. Honolulu, HI: University of Hawai’i, Manoa and Johns Hopkins University.
Davison, N., Workman, R., Daida, Y. G., et al. (2004). Healthy living in the Pacific Islands: Results of a focus group process to identify perceptions of health and collaboration in the U.S. affiliated Pacific Islands. Journal of Extension, 42(5). http://www.joe.org/joe/2004october/rb4.php.
Tanjasiri, S. P., Wiersma, L., Briand, G., et al. (2011). Balancing community and university aims in community-based participatory research: A Pacific Islander youth study. Prog Community Health Partnersh, 5(1), 19–25.
Acknowledgments
The authors gratefully acknowledge the community participants in Alaska, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and Hawai‘i. We also extend our thanks to the CHL Program team who collected, entered and analyzed the data and Ms. Shelley Wong whose work supported the lay-out and editing of this paper. The support of the Agriculture and Food Research Initiative Grant No. 2011-68001-30335 from the USDA National Institute of Food and Agricultural Science Enhancement Coordinated Agricultural Program who funded the CHL Program is also acknowledged.
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Fialkowski, M.K., DeBaryshe, B., Bersamin, A. et al. A Community Engagement Process Identifies Environmental Priorities to Prevent Early Childhood Obesity: The Children’s Healthy Living (CHL) Program for Remote Underserved Populations in the US Affiliated Pacific Islands, Hawaii and Alaska. Matern Child Health J 18, 2261–2274 (2014). https://doi.org/10.1007/s10995-013-1353-3
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DOI: https://doi.org/10.1007/s10995-013-1353-3