The effect of obesity on mammography utilization in African American women

Breast cancer continues to reign as a common cause of death for women in the United States, claiming the lives of more than an estimated 40,000 women in 2009 alone (Ries et al., 2009). A mammogram, an x-ray of the breast, can aid in early detection of breast cancer and thus more successful treatment. Screening patterns indicate African American women are less likely to utilize mammography technology when compared to their Caucasian counterparts. Additionally, the obesity epidemic in the United States remains a major public health problem. Obesity trends indicate that African American women are likely to be more obese when compared to Caucasian women. Pischon, Nöthlings, & Boeing (2008) concluded there was sufficient evidence linking breast cancer and obesity. Many researchers have identified obesity as a risk factor for breast cancer. As African American women are disproportionately burdened by both breast cancer mortality and obesity, more extensive research is needed to gain more knowledge about their association. The purpose of this study was to identify the role obesity plays in lessening an African American woman’s usage of mammography technology. Data from the 2005 National Health Interview Study were analyzed using SPSS to evaluate the relationship between body mass index (BMI) and mammography utilization in the two aforementioned populations.^ After excluding respondents from the sample who did not meet the set criteria, there were 17,666 women remaining. Of the 17,666 women, 6,156 (34.8%) had a healthy weight, 6,024 (34.1%) were overweight, and 4,285 (24.3%) were obese. About 70% of the sample population reported having had a mammogram in the last two years. Another 27.6% of women reported not receiving a mammogram within this same two year time frame. Within ethnic categories, the majority of the sample was Caucasian (64.2%) while only 15.1% of the sample was African American. The relationship between mammography usage and body mass index was not statistically significant within any body mass index categories. When analyzing the relationship between mammography usage and BMI, adjusting for ethnicity, there was also no significant difference between obese African American and obese Caucasian women. The study did find significant relationships between mammography usage and body mass index when adjusting for cancer risk OR = .79 (95% CI .72 - .85), and marital status OR = 1.18 (95% CI 1.05 - 1.34). Due to insignificant findings, there was no evidence to support the hypothesis regarding differences in mammography usage based on weight or ethnicity. Mammography screening differences based on ethnicity are widely cited. Unfortunately it is still unclear exactly where these differences lie. Obesity has been widely documented in the literature as a risk factor for many chronic diseases, including certain forms of cancer. Understanding the relationship between screening behaviors and weight can assist in the development of health promotion programs aimed at high risk groups. In order to change screening behavior and reduce mortality from breast cancer, more research is needed to identify similarities within low screening populations.^

The effects of obesity in critical illness

Obesity continues to cripple the United States in terms of increasing health care expenditures and its rising rate of prevalence in epidemic proportions. The comorbidities associated with obesity have continued to represent some of the most deadly chronic health diseases. The most vulnerable subpopulation, the critically ill, suffers from not only the comorbid conditions but also the complications encountered within their specialized care. Taking into account the rising prevalence rates of obesity and critical care patients, it has come to the attention of many researchers to measure the trends associated with these two health conditions. Hospital mortality was found to be lower in higher BMI groups whereas there was no difference between BMI groups for ICU mortality. Length of stay and mechanical ventilation were both higher for obese rather than non-obese patients. The most prevalent disease states among the obese critically injured was cardiovascular and pulmonary disease. In conclusion, obesity is not independently associated with increased ICU mortality, but the comorbidities linked to obesity prove a greater threat to vitality.^

Pediatric obesity: Managed care collaborating with providers to improve diagnosis and treatment

Child overweight and obesity reaches across ethnic, cultural, socioeconomic and regional barriers. It must be assessed, diagnosed and treated to help families make sustainable behavior changes. Treatment recommendations have been made to address pediatric overweight and obesity. They include screening for risk factors, monitoring BMI trends and educating patients and families to make small sustainable changes. Health insurance companies can play a meaningful role in supporting and facilitating provider education and behavior change to diagnose, treat and prevent pediatric overweight and obesity.^ The aims of this thesis were: (1) Describe a disease management program that uses evidence-based practices to create provider behavior change related to pediatric obesity screening, diagnosis and treatment. (2) Identify ways to improve the implementation of the program based on the perceptions of participating clinicians.^ A literature review was completed to evaluate current recommendations for screening and treating pediatric obesity using the Ovid data base. The evidenced-based recommendations were compared against the practices of the Healthy Lifestyles Program (HeLP). The literature confirmed that HeLP is following evidence-based recommendations for assessment, diagnosis and treatment of pediatric obesity.^ A Children’s Mercy Family Health Partners focus group was convened to create a provider survey. The goals of the survey were to assess providers’ perception of the Healthy Lifestyles Program (HeLP). The survey was sent out through email using Survey Monkey. All survey responses were anonymous. The survey was sent to a total of 80 providers who had completed HeLP. Twenty-five percent responded. The survey results were evaluated to make recommendations for HeLP.^ Results of the survey included motivating factors for participation in HeLP. Concern about the increasing prevalence of pediatric obesity was a frequent motivator for participation. Provider barriers to obesity diagnosis were evaluated. Lack of time during clinic visits a frequent barrier to obesity diagnosis. ^ In conclusion several recommendations for the HeLP were made based on survey results. It is recommended that the program evaluate methods and tools for facilitating effective weight management follow up visits. Promotional materials should highlight the increasing prevalence of pediatric obesity when advertising HeLP. These recommendations will be used to refine the current Healthy Lifestyles Program.^