RESUMEN
Collaborative capacity within coalitions is required to promote healthy communities and create systemic change. The purpose of this study was to evaluate the quality of three Tobacco Prevention and Control Coalitions' action plans for their likely ability to address health equity through tobacco cessation efforts. To do this, the Butterfoss State Plan Index was adapted for relevance to community-oriented coalitions, with a focus on health disparities and tobacco control. This study compares three tobacco control coalitions in Texas to quantify their efforts on addressing health disparities through a standardized measurement process. The results of this assessment indicate that there are gaps in existing coalition assessment tools, and action plan norms and requirements, specifically as it pertains to addressing health disparities in a systematic way. Through a systematic analysis of coalition action plans and supporting documents, it is clear that there is a need for more standard inclusion of disparities-focused work within action plans. Community health researchers, coalition members, and coalition funders should consider action plans to be living, iterative documents that are subject to adjustments. Systems-thinking perspective should be used to develop action plans adapted to environmental, community, policy, and other changes. Lessons learned from this study can provide an example of how to incorporate strategies for reducing health disparities within coalition action planning.
Asunto(s)
Equidad en Salud , Salud Pública , Humanos , Estado de Salud , Texas , Control del TabacoRESUMEN
Overweight and obesity rates continue to rise globally and are associated with increased chronic disease morbidity and mortality. There is evidence of high overweight and obesity prevalence in Kenya, however; a gap exists in the knowledge of national prevalence and predictors of overweight and obesity. This cross-sectional study examined data from the 2015 World Health Organization (WHO) Kenya STEPwise Survey-the first nationally representative survey to objectively measure body mass index (BMI) among Kenyan men and women. Descriptive and logistic regression analysis of 4,340 adults aged 18-69â¯years examined the prevalence, sociodemographic, and behavioral risk factors associated with having overweight or obesity (overweight/obesity) defined by WHO The mean BMI was 23.51 with 31.13% having overweight/obese. The likelihood of having overweight/obesity was significantly higher among married individuals [odds ratio (OR)â¯=â¯1.78, 95% confidence interval (CI) 1.19, 2.66], women (ORâ¯=â¯4.08, 95% CI 3.02, 5.51), urban dwellers (ORâ¯=â¯1.70, 95% CI 1.28, 2.25) and middle wealth or higher (ORâ¯=â¯2.45, 95% CI 1.91, 3.14). The likelihood of having overweight/obesity increased by age, compared to 18-29-year olds; (30-44â¯years (ORâ¯=â¯2.05 95% CI 1.50, 2.80), 45-59-year olds (ORâ¯=â¯2.67, 95% CI 1.97, 3.63), 60-69-year olds (ORâ¯=â¯3.00, 95% CI 1.99, 4.51). Adults with completed primary education or more had higher odd of having overweight/obesity (ORâ¯=â¯2.15, 95% CI 1.72, 2.70). compared to adults with less than primary education. Likelihood of having Overweight/obesity was highest among women, urban residents, and individuals with high education and wealth. Future studies should ascertain drivers of overweight/obesity to inform Targeted and tailored interventions and policies amongst high-risk groups.