Significant symptom resolution of spinal lipomatosis with weight loss.

71-year-old male with epidural spinal lipomatosis and spondylolisthesis. Conservative treatment failed, and a spinal fusion and laminectomy were performed. Postoperatively, the patient reported a reduction in pain; however, the pain recurred soon after surgery. After losing 53 pounds with medical management, the patient reported a complete absence of pain. Epidural spinal lipomatosis is a rare condition characterized by the deposition and hypertrophy of adipose tissue in the spinal canal, sometimes resulting in stenosis or compression of the dural sac and nerve roots (Glob Spine J. 2018;9:658). Although several factors are considered to precipitate the disease, steroid use (J Am Acad Dermatol. 2017;76:1) and obesity (Neurosurg Focus. 2004;16:1) are considered among the most prevalent, with obesity controversially being listed under "idiopathic" causes occasionally (Glob Spine J. 2018;9:658). Weight reduction and decreased steroid use are first-line treatments for this disorder, and usually surgery is considered only when conservative treatment is ineffective (Glob Spine J. 2018;9:658). To describe a case of treating spinal lipomatosis within an evidence-based multidisciplinary medical weight management clinic.

Understanding the Intersectional Relationship of Pain Stigma, Weight Bias Internalization, and Clinical Indicators in a Rural Population with Back Pain: A Survey-Based Study.

BACKGROUND: Stigma is understood to be intersectional, meaning multiple characteristics can be stigmatizing, and they may be both overlapping and coconstitutive. Chronic pain and overweight are common complaints in the spinal surgery clinic. Since being overweight may relate to back pain in a complex fashion, we sought to understand if there is a moderating effect between weight bias and pain stigma. METHODS: This study involves a survey-based, quantitative, cross-sectional, observational design using previously validated measures and demographic and clinical information. There were 192 participants. Statistical calculations were done with statistical package for the social sciences. RESULTS: Pain stigma was not significantly correlated with BMI (body mass index), and weight bias was not significantly correlated with back pain. There was a strong positive correlation between weight bias and pain stigma. There was a strong positive correlation between weight bias and BMI when pain stigma was also high. CONCLUSIONS: Given the relationship between weight stigma and pain, the intersection of weight and pain stigma is important because it indicates the vulnerability of patients with higher BMI to other forms of stigma, such as stigma for their pain complaints. Clinicians should be mindful of expressing pain stigma more significantly amongst patients with higher BMI.

Mixed methods research: A primer for the vascular surgeon.

Mixed methods research is an approach that intentionally integrates both quantitative and qualitative research methods to answer a research question. The hallmark of mixed methods research is a focus on designing studies that integrate both quantitative and qualitative data, yielding greater results than either method could yield on its own. There are a number of fundamental concepts that are essential to conducting mixed methods research. These include a methodological approach that employs one of the three core study designs, involvement of a multidisciplinary team that includes both methodological and subject matter experts, and meticulous planning to ensure that the data collected can ultimately be integrated to yield findings that answer the original research question to the investigators' (and funders') satisfaction. In this article, we will discuss mixed methods research designs, data sources typically used in mixed methods research, and common data analysis and integration strategies. We will also provide examples of mixed methods research projects that have been used in vascular surgery. The intent of this article was to provide an overview of the field of mixed methods research, enabling the reader to critically assess mixed methods research studies in the literature and consider how this methodology might benefit their own research endeavors.

Using an Implementation Research Framework to Identify Facilitators and Barriers to Physical Activity and Weight Loss in Appalachia.

OBJECTIVES: West Virginia (WV) is the only state entirely located in Appalachia, a large, mostly rural area in the eastern United States. WV has the highest adult obesity rate in the United States, as well as one of the highest physical inactivity rates. Obesity has been found to be significantly higher in rural counties than in urban counties, and many rural communities do not have the resources to address this growing health concern. It is well documented that healthy eating and becoming more physically active can be successful in reducing weight and managing obesity-related illness. Despite this overwhelming evidence, obesity rates in WV continue to climb. The purpose of this study was to understand the factors associated with obesity in WV and identify what influences the behavior of people in regard to weight loss and exercise. METHODS: Four focus groups were conducted across the state of WV, transcribed, and thematically analyzed to examine the facilitators and barriers associated with healthy behaviors. The Consolidated Framework for Implementation Research (CFIR) was used as an approach to classify characteristics and plan implementation strategies integrating five domains. The CFIR has been used to identify potential barriers and facilitators to interventions and can be used before or during an intervention. In addition, the CFIR has been used as a framework to guide analysis and provide a means to organize intervention stakeholders' perceptions of barriers and facilitators to successful interventions. RESULTS: Participants identified barriers and facilitators across all 5 major domains of the CFIR-intervention characteristics, outer setting (eg, cultural norms, infrastructure), inner setting (eg, access to knowledge), characteristics of individuals, and the implementation process-and 16 subdomains. Participants discussed how socioeconomic, cultural, and environmental factors influenced diet and exercise. Cost, family culture, and limited access to resources (eg, healthy foods, community-based fitness programs, health care) were common themes expressed by participants. CONCLUSIONS: The results of this study identify how individuals living in rural Appalachian view lifestyle changes and what influences their ability to pursue physical activity and healthy eating. Future programs to encourage healthy lifestyles in Appalachia need to consider the characteristics of the given community to achieve the goal of a tailored lifestyle intervention program that is feasible and effective. In addition, the findings suggest that the CFIR can be used to implement and refine intervention strategies that can be used in the real world.

Feasibility and Acceptability of Guided Imagery to Sequentially Address Multiple Health Behaviors During Pregnancy.

INTRODUCTION: Pregnancy presents health challenges related to well-being, physical activity, dietary regulation, and body image. There is evidence to support the use of guided imagery to address these concerns during pregnancy. The purpose of this study was to analyze the use and short-term outcomes of a multiple-behavior guided imagery intervention delivered through a mobile health (mHealth) application for pregnant women. METHODS: A single-arm, 5-week feasibility trial was conducted, and participants were instructed to listen to an audio file every day for 35 days on an mHealth application. Measurements included ongoing assessments of the participants' use of the guided imagery audio files and pre- and post-test measures of depression, anxiety, stress, physical activity, food cravings, and body image. Postintervention qualitative interviews were conducted to assess whether participants would continue to use guided imagery. RESULTS: Fifty-eight participants (mean age, 28.5 years) were enrolled from January to June of 2018. Cloud analytics data showed an average of 4.96 audio downloads per week with the Sleep and Relaxation file being the most widely used (mean weekly usage, 5.67) and reported favorite during follow-up interviews. Paired-sample t tests from pre- to post-test showed significant reductions in depression, anxiety, and stress, increased physical activity, and sedentary behavior along with some changes in body image. DISCUSSION: Future scalable guided imagery interventions are justified to test for efficacy. Guided imagery may also be delivered in person by health care providers or by using widely available technologies.

Impact of Diffuse Large B-Cell Lymphoma on Mammography and Bone Density Testing in Women.

Women with diffuse large B-cell lymphoma (DLBCL) are at an increased risk of mortality from breast cancer and osteoporosis. However, the impact of DLBCL on rates of mammography and bone density testing (BDT) is unknown. We compared female DLBCL and non-cancer patients utilizing the Surveillance, Epidemiology, and End Results-Medicare dataset to analyze the predictors of mammography and BDT. Guided by the Social Ecological Model (SEM), we used multivariable logistic regressions with inverse probability treatment weighting to examine the association of intrapersonal, interpersonal, healthcare system, and community factors with mammography and BDT. The rates of mammography (59.8%) and BDT (18.5%) in women with DLBCL were similar to those without cancer (60.2% and 19.6%, respectively). After adjusting for the SEM factors, DLBCL patients were less likely to get mammography and BDT than non-cancer patients. The treatments of radiotherapy and stem cell transplant were not associated with either mammography or BDT. DLBCL diagnosis was associated with lower rates of mammography and BDT rates among women with DLBCL, as compared to non-cancer patients. To reduce the morbidity and mortality from breast cancer and fractures in women with DLBCL, providers should increase their recommendations for mammography in those receiving radiotherapy and BDT in stem cell transplant patients.

Stigmatizing Diagnoses in Neurosurgery: A Narrative Review.

Stigma is defined as a social process resulting in labeling, stereotyping, and separation that cause status loss, disapproval, rejection, exclusion, and discrimination of the labeled individuals. Stigma can be experienced by individuals or groups, can be real or perceived, and can include a wide array of characteristics (e.g., race/ethnicity, gender, and health conditions). It is well documented that stigma for health conditions is a barrier to treatment and leads to worse outcomes for vulnerable people. The purpose of this study is to examine the increasingly mature field of stigma theory and research, and how this relates to the practice of neurosurgery. This review provides an overview of stigma and its application in a neurosurgical setting, including diagnoses treated by neurosurgeons as well as diagnoses with impact on neurosurgical outcomes. Examples of stigmatizing diagnoses of relevance to neurosurgical practice include epilepsy, pain, smoking, obesity, and substance use disorder. This information is useful for the practicing neurosurgeon to understand the origins and higher-order effects of societal perceptions surrounding certain diagnoses, and the subsequent effects on health that those perceptions can create on a systemic level.

Identifying community physical activity and health resources for treatment of back pain by utilizing members of a physical activity network.

BACKGROUND: Back pain is one of the leading causes of health care expenditure in the US and is linked to an increased body mass index. Many evidence-based modalities for the prevention and treatment of back pain closely mirror recommendations for weight loss and include physical activity and health maintenance activities (PAHM). The primary aim of this study was to ascertain community assets, and perceptions of the use of PAHM in the treatment of back pain by West Virginia Physical Activity Network (WVPAN) members. METHODS: Participants for the study were recruited from the West Virginia Physical Activity Network. This grassroots organization is filled with volunteers from various sectors who were recruited from various workshops, conferences, or coalition meetings over a period of several years. This network was purposely selected as the study population because of the statewide reach and their familiarity with resources in their local communities. A brief survey instrument was designed to gather their scaled perceptions about various treatment modalities related to back pain, and to gather their local knowledge related to specific providers in their communities. In addition, participants were given a free text box to list any local assets or resources for the nine treatments listed, and county of residence, and the nature of their connection to the physical activity network. Descriptive analyses were used to describe overall patterns of survey data. The qualitative data were compiled manually by the research team to show themes of specific treatments mentioned across different parts of the state. RESULTS: Participants overwhelmingly supported physical therapy, flexibility training, yoga, and core strengthening as treatments for back pain. The majority of respondents were "undecided" about other treatments such as cognitive behavioral therapies and acupuncture. CONCLUSIONS: The implementation of PAHM interventions in communities could help treat patients with back pain, and may reduce reliance on the pharmacological treatment for back pain. The current study's data support the potential of such approaches in many West Virginia counties. Also, local resources, and context can be gleaned from community leader surveys utilizing previously developed infrastructure for PAHM promotion.

Impact of diffuse large B-cell lymphoma on visits to different provider specialties among elderly Medicare beneficiaries: challenges for care coordination.

Newly diagnosed diffuse large B-cell lymphoma (DLBCL) can pose significant challenges to care coordination. We utilized a social-ecological model to understand the impact of DLBCL diagnosis on visits to primary care providers (PCPs) and specialists, a key component of care coordination, over a 3-year period of cancer diagnosis and treatment. We used hurdle models and multivariable logistic regression with the Surveillance Epidemiology and End Result-Medicare linked dataset to analyze visits to PCPs and specialists by DLBCL patients (n = 5,455) compared with noncancer patients (n = 14,770). DLBCL patients were more likely to visit PCPs (adjusted odds ratio, AOR [95% confidence interval, CI]: 1.25 [1.18, 1.31]) and had greater number of visits to PCPs (ß, SE: 0.384, -0.014) than noncancer patients. Further, DLBCL patients were more likely to have any visit to cardiologists (AOR [95% CI]: 1.40 [1.32, 1.47]), endocrinologists (1.43, [1.21, 1.70]), and pulmonologists (1.51 [1.36, 1.67]) than noncancer patients. Among DLBCL patients, the number of PCP visits markedly increased during the treatment period compared with the baseline period (ß, SE: 0.491, -0.028) and then decreased to baseline levels (-0.464, -0.022). Visits to PCPs and specialists were much more frequent for DLBCL patients than noncancer patients, which drastically increased during the DLBCL treatment period for chronic care. More chronic conditions, treatment side effects, and frequent testing may have increased visits to PCPs and specialists. Interventions to improve care coordination may need to target the DLBCL treatment period, when patients are most vulnerable to poor care coordination.