Brook Belay

Morbid Obesity as a Risk Factor for Hospitalization and Death Due to 2009 Pandemic Influenza A(H1N1) Disease

Background Severe illness due to 2009 pandemic A(H1N1) infection has been reported among persons who are obese or morbidly obese. We assessed whether obesity is a risk factor for hospitalization and death due to 2009 pandemic influenza A(H1N1), independent of chronic medical conditions considered by the Advisory Committee on Immunization Practices (ACIP) to increase the risk of influenza-related complications. Methodology/Principal Findings We used a case-cohort design to compare cases of hospitalizations and deaths from 2009 pandemic A(H1N1) influenza occurring between April–July, 2009, with a cohort of the U.S. population estimated from the 2003–2006 National Health and Nutrition Examination Survey (NHANES); pregnant women and children <2 years old were excluded. For hospitalizations, we defined categories of relative weight by body mass index (BMI, kg/m2); for deaths, obesity or morbid obesity was recorded on medical charts, and death certificates. Odds ratio (OR) of being in each BMI category was determined; normal weight was the reference category. Overall, 361 hospitalizations and 233 deaths included information to determine BMI category and presence of ACIP-recognized medical conditions. Among ≥20 year olds, hospitalization was associated with being morbidly obese (BMI≥40) for individuals with ACIP-recognized chronic conditions (OR = 4.9, 95% CI 2.4–9.9) and without ACIP-recognized chronic conditions (OR = 4.7, 95%CI 1.3–17.2). Among 2–19 year olds, hospitalization was associated with being underweight (BMI≤5th percentile) among those with (OR = 12.5, 95%CI 3.4–45.5) and without (OR = 5.5, 95%CI 1.3–22.5) ACIP-recognized chronic conditions. Death was not associated with BMI category among individuals 2–19 years old. Among individuals aged ≥20 years without ACIP-recognized chronic medical conditions death was associated with obesity (OR = 3.1, 95%CI: 1.5–6.6) and morbid obesity (OR = 7.6, 95%CI 2.1–27.9). Conclusions/Significance Our findings support observations that morbid obesity may be associated with hospitalization and possibly death due to 2009 pandemic H1N1 infection. These complications could be prevented by early antiviral therapy and vaccination.

Population-Level Intervention Strategies and Examples for Obesity Prevention in Children*

With obesity affecting approximately 12.5 million American youth, population-level interventions are indicated to help support healthy behaviors. The purpose of this review is to provide a summary of population-level intervention strategies and specific intervention examples that illustrate ways to help prevent and control obesity in children through improving nutrition and physical activity behaviors. Information is summarized within the settings where children live, learn, and play (early care and education, school, community, health care, home). Intervention strategies are activities or changes intended to promote healthful behaviors in children. They were identified from (a) systematic reviews; (b) evidence- and expert consensus-based recommendations, guidelines, or standards from nongovernmental or federal agencies; and finally (c) peer-reviewed synthesis reviews. Intervention examples illustrate how at least one of the strategies was used in a particular setting. To identify interventions examples, we considered (a) peer-reviewed literature as well as (b) additional sources with research-tested and practice-based initiatives. Researchers and practitioners may use this review as they set priorities and promote integration across settings and to find research- and practice-tested intervention examples that can be replicated in their communities for childhood obesity prevention.

Promoting Women's Health in Hospitals: A Focus on Breastfeeding and Lactation Support for Employees and Patients

Hospitals often are one of the largest employers in communities, and nationwide, they employ more than 6.3 million employees. Hospitals also serve tens of millions of inpatients annually. Hospitals, therefore, can be leaders in worksite wellness and promoting breastfeeding and lactation support for new mothers. By adopting model standards and practices that promote breastfeeding, hospitals can influence womens health. This article focuses on the efforts of the Centers for Disease Control and Preventions Division of Nutrition, Physical Activity, and Obesity to promote breastfeeding and lactation support for hospital employees and patients.

Using mPINC Data to Measure Breastfeeding Support for Hospital Employees

Background: Employer support is important for mothers, as returning to work is a common reason for discontinuing breastfeeding. This article explores support available to breastfeeding employees of hospitals that provide maternity care. Objectives: This study aimed to describe the prevalence of 7 different types of worksite support and changes in these supports available to breastfeeding employees at hospitals that provide maternity care from 2007 to 2011. Methods: Hospital data from the 2007, 2009, and 2011 Centers for Disease Control and Prevention Survey on Maternity Practices in Infant Nutrition and Care (mPINC) were analyzed. Survey respondents were asked if the hospital provides any of the following supports to hospital staff: (1) a designated room to express milk, (2) on-site child care, (3) an electric breast pump, (4) permission to use existing work breaks to express milk, (5) a breastfeeding support group, (6) lactation consultant/specialist available for consult, and (7) paid maternity leave other than accrued vacation or sick leave. This study was exempt from ethical approval because it was a secondary analysis of a publicly available dataset. Results: Of the 7 worksite supports in hospitals measured, 6 increased and 1 decreased from 2007 to 2011. Across all survey years, more than 70% of hospitals provided supports for expressing breast milk, whereas less than 15% provided direct access to the breastfeeding child through on-site child care, and less than 35% offered paid maternity leave. Results differed by region and hospital size and type. In 2011, only 2% of maternity hospitals provided all 7 worksite supports; 40% provided 5 or more. Conclusion: The majority of maternity care hospitals (> 70%) offer breastfeeding supports that allow employees to express breast milk. Supports that provide direct access to the breastfeeding child, which would allow employees to breastfeed at the breast, and access to breastfeeding support groups are much less frequent than other supports, suggesting opportunities for improvement.

Characteristics of US Health Care Providers Who Counsel Adolescents on Sports and Energy Drink Consumption

Objective. To examine the proportion of health care providers who counsel adolescent patients on sports and energy drink (SED) consumption and the association with provider characteristics. Methods. This is a cross-sectional analysis of a survey of providers who see patients ≤17 years old. The proportion providing regular counseling on sports drinks (SDs), energy drinks (EDs), or both was assessed. Chi-square analyses examined differences in counseling based on provider characteristics. Multivariate logistic regression calculated adjusted odds ratios (aOR) for characteristics independently associated with SED counseling. Results. Overall, 34% of health care providers regularly counseled on both SEDs, with 41% regularly counseling on SDs and 55% regularly counseling on EDs. On adjusted modeling regular SED counseling was associated with the female sex (aOR: 1.44 [95% CI: 1.07–1.93]), high fruit/vegetable intake (aOR: 2.05 [95% CI: 1.54–2.73]), family/general practitioners (aOR: 0.58 [95% CI: 0.41–0.82]) and internists (aOR: 0.37 [95% CI: 0.20–0.70]) versus pediatricians, and group versus individual practices (aOR: 0.59 [95% CI: 0.42–0.84]). Modeling for SD- and ED-specific counseling found similar associations with provider characteristics. Conclusion. The prevalence of regular SED counseling is low overall and varies. Provider education on the significance of SED counseling and consumption is important.

Improving the Weight of the Nation by Engaging the Medical Setting in Obesity Prevention and Control

This manuscript highlights examples of strategies that have made strides in improving the quality of health care environments, systems-level improvements to support self-management, and collaborations between primary care and public health to support effective approaches to prevent obesity among children and adults in the U.S.

Obesity Prevention and Control: From Clinical Tools to Public Health Strategies

Four papers in this issue of Academic Pediatrics address several key aspects of the clinical and community approach to the obesity epidemic. Despite the centrality of body mass index to the assessment of obesity, the study by Oettinger and colleagues 1 demonstrates that few parents in that sample had a clear understanding of the meaning of the measure. Nonetheless, the color-coding intervention of the growth charts to demonstrate healthy weight, overweight, and obesity increased parental understanding of risk. The high prevalence of severe obesity reported by Skelton and colleagues 2 emphasizes again the importance of the need for tertiary centers to care for this high-risk population. However, successful control of the obesity epidemic will require not only changes in how we deliver medical care for this widespread disease but also complementary changes in the environment. The contribution of the environment to childhood and adolescent obesity is emphasized by Galvez and colleagues 3 and Oreskovic and colleagues, 4 who demonstrate that access to convenience stores and fast-food restaurants is associated with an increased prevalence of obesity. It also appears that the opposite is true—that increased access to supermarkets has been inversely related to adolescent body mass index. 5 Access affects both sides of the energy balance equation. On the energy expenditure side, community infrastructure such as sidewalks and recreational facilities fosters physical activity and may also play a role in the prevention

Implementation of Multisetting Interventions to Address Childhood Obesity in Diverse, Lower-Income Communities: CDC’s Childhood Obesity Research Demonstration Projects

Introduction Ecological approaches to health behavior change require effective engagement from and coordination of activities among diverse community stakeholders. We identified facilitators of and barriers to implementation experienced by project leaders and key stakeholders involved in the Imperial County, California, Childhood Obesity Research Demonstration project, a multilevel, multisector intervention to prevent and control childhood obesity. Methods A total of 74 semistructured interviews were conducted with project leaders (n = 6) and key stakeholders (n = 68) representing multiple levels of influence in the health care, early care and education, and school sectors. Interviews, informed by the Multilevel Implementation Framework, were conducted in 2013, approximately 12 months after year-one project implementation, and were transcribed, coded, and summarized. Results Respondents emphasized the importance of engaging parents and of ensuring support from senior leaders of participating organizations. In schools, obtaining teacher buy-in was described as particularly important, given lower perceived compatibility of the intervention with organizational priorities. From a program planning perspective, key facilitators of implementation in all 3 sectors included taking a participatory approach to the development of program materials, gradually introducing intervention activities, and minimizing staff burden. Barriers to implementation were staff turnover, limited local control over food provided by external vendors or school district policies, and limited availability of supportive resources within the broader community. Conclusion Project leaders and stakeholders in all sectors reported similar facilitators of and barriers to implementation, suggesting the possibility for synergy in intervention planning efforts.