Comparison of Methods Used to Correct Self-Reported Protein Intake for Systematic Variation in Reported Energy Intake Using Quantitative Biomarkers of Dietary Intake.

BACKGROUND: Multiple methods of correcting nutrient intake for misreported energy intake have been proposed but have not been extensively compared. The availability of the Women's Health Initiative (WHI) data set, which includes several objective recovery biomarkers, offers an opportunity to compare these corrections with respect to protein intake. OBJECTIVE: We compared 5 energy-correction methods for self-reported dietary protein against urinary nitrogen-derived protein intake. METHODS: As part of the WHI Nutritional Biomarkers Study (NBS) 544 participants (50- to 80-y-old women) completed a FFQ and biomarker assessments using doubly labeled water (DLW) for total energy expenditure (TEE) and 24-h urinary nitrogen. Correction methods evaluated were as follows: 1) DLW-TEE; 2) the Institute of Medicine's (IOM's) estimated energy requirement (EER) TEE prediction equation based on sex, height, weight, and age; 3) published NBS total energy TEE prediction (WHI-NBS-TEE) using age, BMI, race, and income; 4) reported protein versus reported energy linear regression-based residual method; and 5) a Goldberg cutoff to exclude subjects reporting energy intakes <1.35 times their basal metabolic rate. Efficacy was evaluated using correlations obtained by regressing corrected protein against biomarker protein (6.25 × urinary nitrogen/0.81). RESULTS: Unadjusted self-reported protein intake from the FFQ (mean = 66.7 g) correlated weakly (r = 0.31) with biomarker protein (mean = 74.9 g). DLW-TEE-corrected self-reported protein intake (mean = 90.7 g) had the strongest correlation with biomarker protein (r = 0.47). Other energy corrections yielded lower, but still significant correlations: EER, r = 0.44 (mean = 92.1 g); WHI-NBS-TEE, r = 0.37 (mean = 90.4 g); Goldberg cutoff, r = 0.36 (mean = 88.4 g); and residual method, r = 0.35 (mean = 66.7 g). CONCLUSIONS: Our data indicate that proportional correction of reported protein intake using a measure of energy requirement from DLW-TEE or IOM-EER performed modestly better than other methods in this cohort. These energy adjustments, however, yielded corrected protein exceeding the biomarker protein, indicating that energy adjustment alone does not eliminate all self-reported protein reporting bias.

The Obesity Prevention Initiative: A Statewide Effort to Improve Child Health in Wisconsin.

BACKGROUND/SIGNIFICANCE: Obesity rates have increased dramatically, especially among children and disadvantaged populations. Obesity is a complex issue, creating a compelling need for prevention efforts in communities to move from single isolated programs to comprehensive multisystem interventions. To address these issues, we have established a childhood Obesity Prevention Initiative (Initiative) for Wisconsin. This Initiative seeks to test community change frameworks that can support multisystem interventions and provide data for local action as a means for influencing policies, systems, and environments that support individuals' healthy eating and physical activity. APPROACHES/AIMS: The Initiative is comprised of three components: (1) infrastructure to support a statewide obesity prevention and health promotion network with state- and local-level public messaging and dissemination of evidence-based solutions (healthTIDE); (2) piloting a local, multisetting community-led intervention study in 2 Wisconsin counties; and (3) developing a geocoded statewide childhood obesity and fitness surveillance system. RELEVANCE: This Initiative is using a new model that involves both coalition action and community organizing to align resources to achieve health improvement at local and state levels. We expect that it will help lead to the implementation of cohesive and sustainable policy, system, and environment health promotion and obesity prevention strategies in communities statewide, and it has the potential to help Wisconsin become a national model for multisetting community interventions to address obesity. Addressing individual-level health through population-level changes ultimately will result in reductions in the prevalence of childhood obesity, current and future health care costs, and chronic disease mortality.

Community-Led Collaborative Action to Prevent Obesity.

At the population level, turning the tide on obesity requires not only health education and promotion programs, but also systemic changes in our society. However, few of these changes can be implemented by single agencies or organizations acting in isolation. Broader community-driven efforts are needed to advance and maintain systematic changes across multiple settings. We introduce 2 promising approaches for local action to achieve changes: coalition action and community organizing. Understanding differences between the two approaches makes it clear that while each has distinct advantages, there are also possibilities for synergies between them. We also clarify how community-driven efforts can be catalyzed and supported, and describe our efforts as part of the Wisconsin Obesity Prevention Initiative to identify and implement best practices for building and sustaining the necessary local community capacity to carry out systematic changes. We are working with communities to launch initiatives in which residents are engaged through grassroots organizing, and local agencies, businesses, and other institutions are engaged in pursuit of collective impact on obesity prevention. This will allow us not only to compare the effectiveness of the 2 types of initiatives for driving local changes, but also to explore the potential for the two to work together in pursuit of systemic changes for preventing obesity.

Developing a Strategy Menu for Community-Level Obesity Prevention.

Childhood obesity is a complex problem influenced by policies, systems, and environments, and its prevention requires changes across a range of community settings. To address this, we developed an obesity prevention strategy menu and an ongoing study to pilot its use and provide technical support for its implementation. The strategy menu is comprised of a set of effective approaches communities can use to develop tailored, context-specific health interventions based on local community needs and capacity. It was developed by a multidisciplinary team of researchers and practitioners who reviewed evidence and organized it to incorporate effective policy, systems, and environmental changes for reducing and preventing childhood obesity. Eventually, it will be part of a web-based point of access that complements the foundational relationships built between communities, researchers, and practitioners. By developing a framework to engage communities in the selection and implementation of multisetting obesity prevention strategies, we aim to create and sustain momentum toward a long-term reduction in obesity in Wisconsin children.

The Wisconsin Early Childhood Obesity Prevention Initiative: An Example of Statewide Collective Impact.

INTRODUCTION: The Wisconsin Early Childhood Obesity Prevention Initiative (Initiative), established in 2007, seeks to address and prevent obesity in the early care and education system through nutrition and physical activity environmental and policy changes. The collaborative includes professionals from 3 state of Wisconsin Departments, the University of Wisconsin-Extension, the University of Wisconsin-Madison, and public health and early care and education organizations. This paper explores the efforts of the Initiative to advance our understanding of collective impact in practice and its value to health promotion efforts. METHODS: Evaluators conducted a mixed methods case study to evaluate the application of collective impact principles by the Initiative. This included a survey of Initiative partners, review of archival documents, and qualitative interviews with Initiative leaders. RESULTS: Initiative partners noted progress in establishing the conditions for collective impact. Archival documents and interviews describe both formal and informal practices that helped set a common agenda, align and coordinate partner activities, and promote communication among Initiative leaders. Results also detail the important current and potential roles of "backbone" staff from healthTIDE to support the Initiative. Additionally, results suggest particularly challenging aspects of the Initiative's impact model related to shared measurement and broader stakeholder communication. While the Initiative is still setting in place the conditions for collective impact, it has achieved significant policy, systems, and environment changes since its formation. Inclusion of nutrition and physical activity criteria in the state's quality rating improvement system for child care centers is one of its outcomes. CONCLUSIONS: This case study offers several important insights about the application of collective impact in health promotion efforts, particularly in relation to the transition from previous collaborative activities, the value of establishing a clear common agenda among partners, the roles of backbone staff, and time and partner relationships in collective impact.

Lessons From a Pilot Community-Driven Approach for Obesity Prevention.

INTRODUCTION: The Wisconsin Obesity Prevention Initiative has piloted a novel approach for community action for obesity prevention that incorporates both coalition and community organizing efforts in 2 counties. This article describes lessons learned to date from this experience. METHODS: A description of the progress made in these communities and the support provided by Initiative staff and other partners are drawn from process evaluation of the pilot from November 2014 through December 2015, as well as the reflections of community partners. RESULTS: In Marathon County, building towards coalition action required thoughtful re-engagement and restructuring of an existing obesity-focused coalition. Community organizing surfaced local concerns related to the root causes of obesity, including poverty and transit. In Menominee County, coalition and community organizing efforts both have drawn attention to cultural assets for health promotion, such as traditional food practices, as well as the links between cultural loss and obesity. CONCLUSIONS: Building coalition action and community organizing varies across community contexts and requires addressing various steps and challenges. Both approaches require critical local examination of existing community action and stakeholders, attention to relationship building, and support from outside partners. In coalition action, backbone staff provide important infrastructure, including member recruitment and facilitating group processes towards collaboration. Community organizing involves broad resident engagement to identify shared interests and concerns and build new leadership. A community-driven systems change model offers potential to increase community action for obesity prevention.