Jodi L. Southerland

Self-reported versus actual weight and height data contribute to different weight misperception classifications.

Objectives The purpose of the study was to examine potential differences between two approaches to defining adolescent weight misperception. Specifically, weight status perception was compared with self-reported weight status and actual weight status (based on body mass index percentiles calculated from self-reported and actual weights and heights, respectively). Furthermore, the accuracy of assigning weight status based on body mass index percentiles calculated from self-reported weights and heights was assessed by comparing them with actual weight status. Methods Data were extracted from Team Up for Healthy Living, an 8-week, school-based obesity prevention program in southern Appalachia. Participants (N = 1509) were predominately white (93.4%) and ninth graders (89.5%), with approximately equivalent representation of both sexes (50.7% boys). Results The study revealed significant differences between the approaches to defining weight misperception (&khgr;2 = 16.2; P = 0.0003). Conclusions Researchers should interpret study findings with awareness of potential differences based on the method of calculating weight misperception.

Prevalence of and Risk Factors for Adolescent Obesity in Southern Appalachia, 2012

The objective of this study was to examine weight status among southern Appalachian adolescents and to identify risk factors for obesity. We analyzed baseline data from the Team Up for Healthy Living study in 2012. Overall, 19.8% of the sample was overweight, and 26.6% was obese. Boys had higher rates of overweight/obesity than girls (50.5% vs 42.3%). Being male (odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.39–2.29), having a mother with a high school education or less (OR = 1.39; 95% CI, 1.05–1.83), or having a father with a high school education or less (OR = 1.57; 95% CI, 1.17–2.09) was associated with a higher prevalence of obesity and a higher body mass index z score (β = 0.131, 0.160, and 0.043, respectively, P < .05). Parental education could be used to identify adolescents with a higher likelihood of obesity.

Ethnic Differences in Risk Factors for Obesity among Adults in California, the United States

Little attention has been given to differences in obesity risk factors by racial/ethnic groups. Using data from the 2011-2012 California Health Interview Survey, we examined differences in risk factors for obesity among Whites, Latinos, Asians, and African Americans among 42,935 adults (24.8% obese). Estimates were weighted to ensure an unbiased representation of the Californian population. Multiple logistic and linear regression analyses were used to examine the differences in risk factors for obesity. Large ethnic disparities were found in obesity prevalence: Whites (22.0%), Latinos (33.6%), African Americans (36.1%), and Asians (9.8%). Differences in risk factors for obesity were also observed: Whites (gender, age, physical activity, smoking, arthritis, and diabetes medicine intake), Latinos (age, arthritis, and diabetes medicine intake), Asians (age, binge drinking, arthritis, and diabetes medicine intake), and African Americans (gender, physical activity, smoking, binge drinking, and diabetes medicine intake). Females were more likely to be obese among African Americans (odds ratio (OR) = 1.43, 95% confidence interval (CI) = 1.05–1.94), but less likely among Whites (OR = 0.80, 95% CI = 0.74–0.87). Race/ethnicity should be considered in developing obesity prevention strategies.

Using the give-get grid to understand potential expectations of engagement in a community-academic partnership.

Research suggests that stakeholder investment is maximized when partnerships understand the assumptions held by partners of the benefits to be derived and contributions to be made to the partnership. In 2011, representatives from seven rural county high schools and five university departments participated in a planning workshop designed to identify elements of an effective community–academic partnership to address adolescent obesity disparity in Southern Appalachia. The purpose of this investigation was to examine key elements of partnership building by way of the Give–Get Grid partnership tool. Content analysis was conducted to identify emerging themes. University representatives consistently identified more proposed program contributions as well as benefits than their high school partners. University personnel responses generally pertained to their level of participation and investment in the partnership, whereas high school personnel tended to identify contributions fundamental to both partnership and program success. Additionally, content analysis uncovered programmatic facilitators and potential barriers that can be instrumental in program planning and forming program messages. Findings suggest that although partners often share common goals, perceptions of the value of investment and benefits may vary. The Give–Get Grid can be used during the program-planning phase to help identify these differences. Implications for practice are discussed.

College students as facilitators in reducing adolescent obesity disparity in Southern Appalachia: Team Up for Healthy Living

The proportion of obese adolescents in Southern Appalachia is among the highest in the nation. Through funding from the National Institute on Minority Health and Health Disparities--National Institutes of Health, the Team Up for Healthy Living project was a cluster-randomized trial targeting obesity prevention in adolescents through a cross-peer intervention. The specific aims of the project were to: 1) develop a peer-based health education program focusing on establishing positive peer norms towards healthy eating and physical activity (PA) among high school students, 2) test program efficacy, and 3) explore mechanisms underlying the program. The study was guided by the Theory of Planned Behavior, which presupposes that human behavior is primarily driven by attitude, subjective norms, perceived behavioral control, and social support. To deliver the intervention, undergraduate students from the disciplines of public health, nutrition, and kinesiology were hired as peer facilitators. Ten area high schools were invited to participate, were matched on demographics and then randomized to intervention or control. The primary outcomes of the study included body mass status, dietary behaviors, PA, and sedentary behaviors which were assessed at baseline and at three and twelve months post baseline. Intervention schools received Team Up for Healthy Living curriculum, which consists of eight 40-minute sessions. The curriculum focused on improving nutrition awareness, PA, leadership and communication. Control schools received their regularly scheduled Lifetime Wellness curriculum. The long-term goal of the study was to establish an effective academia-community partnership program to address adolescent obesity disparity in Southern Appalachia.

Relationship Between Physical Activity and Suicidal Behaviors Among 65,182 Middle School Students

BACKGROUND The psychosocial benefits of participating in physical activity (PA) are well known; less is known about the relationship between suicidal behaviors and PA among adolescents, especially among middle school-aged youth. This study seeks to fill that gap by assessing the cross-sectional relationship between these variables. METHODS A secondary analysis of the 2010 Tennessee Middle School Youth Risk Behavior Survey data was conducted among 65,182 middle school students. Items examined were PA, sports team engagement, physical education (PE) class, screen time, suicidal behaviors, drug/substance use, extreme weight control behaviors, weight status and weight misperceptions, and selected personal characteristics. Multiple logistic regression analysis was used to estimate the association between PA, sports team engagement, and PE class attendance on suicidal behaviors. RESULTS Sports team engagement was significantly associated with suicidal thoughts, plans, and attempts even after controlling for other important variables. There was no relationship, however, between total PA or PE class attendance in univariate or multivariate models, respectively. CONCLUSIONS Findings suggest that sports team engagement is associated with reduced risk for suicidal thoughts, plans, and attempts, whereas, no relationships were found for PA or PE class attendance. Asking adolescents questions about sports team engagement may help clinicians screen for risk of suicidal behaviors.

Health disparities among the western, central and eastern rural regions of China after a decade of health promotion and disease prevention programming.

SummaryHealth disparities between the western, central and eastern regions of rural China, and the impact of national health improvement policies and programming were assessed. A total of 400 counties were randomly sampled. ANOVA and Logistic regression modeling were employed to estimate differences in health outcomes and determinants. Significant differences were found between the western, central and eastern rural regions in community infrastructure and health outcomes. From 2000 to 2010, health indicators in rural China were improved significantly, and the infant mortality rate (IMR), maternal mortality rate (MMR) and under 5 mortality rate (U5MR) had fallen by 62.79%, 71.74% and 61.92%, respectively. Central rural China had the greatest decrease in IMR (65.05%); whereas, western rural China had the greatest reduction in MMR (72.99%) but smallest reduction in U5MR (57.36%). Despite these improvements, Logistic regression analysis showed regional differences in key health outcome indicators (odds ratios): IMR (central: 2.13; western: 5.31), U5MR (central: 2.25; western: 5.69), MMR (central: 1.94; western: 3.31), and prevalence of infectious diseases (central: 1.62; western: 3.58). The community infrastructure and health outcomes of the western and central rural regions of China have been improved markedly during the first decade of the 21st century. However, health disparities still exist across the three regions. National efforts to increase per capita income, community empowerment and mobilization, community infrastructure, capacity of rural health facilities, and health literacy would be effective policy options to attain health equity.

Trait Hope and Preparation for Future Care Needs among Older Adult Primary Care Patients

ABSTRACT Objective: We examined associations between trait hope and preparation for future care needs (PFCN) among 66 older adult primary care patients in western New York. Methods: Participants completed a questionnaire assessing PFCN (awareness, information gathering, decision-making, concrete planning, and avoidance), and the Adult Trait Hope Scale. Results: In multivariate regressions, lower hope, particularly less agency, was associated with more awareness of needing care, whereas higher hopefulness, particularly pathways thinking, was associated with increased decision-making and concrete planning. Conclusions: Greater hopefulness appears to be linked to goal-directed planning behaviors, although those with lower hope may actually be more aware of the need for planning. Evidence-based programming that encourages learned hopefulness may contribute to enhanced health planning and decision-making among older adult primary care patients.

School-based adolescent obesity prevention programming: perceptions of school personnel in Southern Appalachia.

Objectives Coordinated School Health (CSH) is a systematic approach to improving the health and well-being of school-age children. It is recommended for its potential to promote healthy weight in adolescents through strategic programming. Resources and programming for adolescent obesity prevention varies among schools, thereby limiting the intended benefits of CSH. The purpose of this study was to understand gaps in schools’ approaches to healthy weight promotion and support for overweight/obese students. We evaluated perceptions of adolescent obesity and environmental factors and programs facilitating healthy weight in high schools in Appalachian Tennessee. Methods In 2012, 17 key school personnel from 5 randomly selected high schools were interviewed. Questions addressed their perceptions of adolescent obesity, school-based physical activity and nutrition programming, and support available to overweight/obese students. Thematic analysis was conducted to identify emerging themes. Results Participants consistently identified adolescent obesity and/or associated risk factors as major health problems within their schools. Barriers to physical activity and healthful eating were identified at multiple levels. Because of the sensitivity surrounding overweight/obesity, no particular programs or curricula targeted overweight/obese adolescents specifically, but they were available to all students. Support is not explicitly available; therefore, overweight/obese students must seek out these resources. Conclusions Findings suggest that although school personnel are concerned about the impact of adolescent obesity on health outcomes, there is wide variation across schools on the types and quality of programming available to address the issue. Results can be used to encourage school-based strengths and identify gaps in the CSH infrastructure in school systems.

Case Studies of Community–Academic Partnerships Established Using the Give-Get Grid Model:

While partnerships for health delivery and improvement are frequently described by their structure, goals, and plans, less attention is paid to the interactive relationships among partners or for larger stakeholder groups’ coalition memberships. The Give-Get Grid group process tool can be used to assess each stakeholders’ expected benefits (“gets”) and contributions (“gives”) needed to establish and maintain long-term, mutually advantageous community–academic partnerships. This article describes three case study experiences using the Give-Get Grid in real-world context to understand and generate ideas to address contemporary health promotion opportunities among a variety of stakeholders. The case studies address three distinct community health promotion opportunities: prevention of school-based adolescent obesity disparities, higher education health professions training programs in rural community-based settings, and methods for engaging community coalitions in state Comprehensive Cancer Control Programs. The case studies demonstrate the Give-Get Grid’s utility in both planning and evaluating partnerships and documenting key elements for progress in health promotion initiatives built on long-term community–academic relationships. Steps are explained with practical lessons learned in using the Grid.