Liesinger, Juliette

Objectives: To assess compliance with chronic coronary artery disease (CAD) secondary prevention guidelines in the USA, to determine time trends, and to identify potential sociodemographic predictors of low compliance. Design, Setting and Participants: We analyzed the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2010, representative of non-institutionalized civilian population in the USA. We included people with self-reported previous diagnosis of CAD, angina or myocardial infarction (MI). Primary Outcome: Adherence to secondary prevention guidelines including blood pressure control, lipid control, not smoking, normal body mass index, physical activity at goal, and meeting all 5 outcomes (“all-or-none”). Use of antiplatelet therapy was reported and analyzed from 1999-2004. Secondary Outcome: Use of beta-blocker therapy in people with history of MI; in diabetes (DM), use of ACE-inhibitors or angiotensin receptor blocker, and HgbA1C <7%. Age, gender, race, income, education and insurance status were evaluated as covariates. Analyses were weighed according to Center for Disease Control guidelines. Results: There were 62,160 individuals in the cycle data of which 2,615 comprised the study group, representative of 73,574,548 individuals in the USA. Mean age was 65 yr, 58% men, 79% white. Only 2.8% of people with CAD met all 5 main outcomes. Only blood pressure and LDL control showed significant improvement over time, see Figure. Antiplatelet therapy was reported in 58.2%. Of those with history of MI, only 50.5% were on a beta-blocker and of those with history of DM, 59.4% were using either an ACE-I or an ARB; and 54% had a HgbA1C less than 7%. When adjusting for demographics, no significant differences were found regarding compliance with all 5 main outcomes. Conclusions: Adherence to guidelines for secondary prevention of CAD is suboptimal. There is an immense opportunity for improvement in secondary prevention for CAD in the USA.

Purpose: This project examined potential changes in health behaviors following wellness coaching. Design: In a single cohort study design, wellness coaching participants were recruited in 2011, data were collected through July 2012, and were analyzed through December 2013. Items in the study questionnaire used requested information about 11 health behaviors, self-efficacy for eating, and goalsetting skills. Setting: Worksite wellness center. Participants: One-hundred employee wellness center members with an average age of 42 years; 90% were female and most were overweight or obese. Intervention: Twelve weeks of in-person, one-on-one wellness coaching. Method: Participants completed study questionnaires when they started wellness coaching (baseline), after 12 weeks of wellness coaching, and at a 3-month follow-up. Results: From baseline to week 12, these 100 wellness coaching participants improved their self-reported health behaviors (11 domains, 0- to 10-point scale) from an average of 6.4 to 7.7 ( p < .001), eating selfefficacy from an average of 112 to 142 (on a 0- to 180-point scale; p < .001), and goal-setting skills from an average of 49 to 55 (on a 16- to 80-point scale; p < .001). Conclusion: These results suggest that participants improved their current health behaviors and learned skills for continued healthy living. Future studies that use randomized controlled trials are needed to establish causality for wellness coaching.

Background: Recent literature suggests that one in nine children in the United States uses some type of complementary and alternative medicine (CAM). Children with challenging neurological conditions such as headache, migraine, and seizures may seek CAM in their attempts at self-care. Our objective was to describe CAM use in children with these conditions. Methods: We compared use of CAM among children aged 3 to 17 years with and without common neurological conditions (headaches, migraines, seizures) where CAM might plausibly play a role in their self-management using the 2007 National Health Interview Survey (NHIS) data. Results : Children with common neurological conditions reported significantly more CAM use compared to the children without these conditions (24.0% vs 12.6%, P< .0001). Compared to other pediatric CAM users, children with neurological conditions report similarly high use of biological therapies and significantly higher use of mind-body techniques (38.6% vs 20.5%, P<.007). Of the mind-body techniques, deep breathing (32.5%), meditation (15.1%), and progressive relaxation (10.1%) were used most frequently. Conclusions: About one in four children with common neurological conditions use CAM. The nature of CAM use in this population, as well as its risks and benefits in neurological disease, deserve further investigation.

Health promotion programs may target a variety of behaviors including weight loss, exercise, stress, nutrition, or other risk factors. Comparing the outcomes of diverse programs is hampered by the absence of a common metric. Overall self-rated health has been used as a health outcome measure in population studies and in some primary care studies, but its potential use to monitor the outcomes of health programs is unexplored. The purpose of this study was to compare the outcomes of 4 health promotion programs using change in overall self-rated health as a common metric. Program-specific metrics used were weight change, change in minutes of exercise, change in stress management activities, and change in healthy nutrition practices. We found that, although all of our lifestyle interventions positively affected the program-specific metrics, only the weight loss and exercise programs showed improvement in specific metrics correlated with improvements in overall self-rated health. ( Population Health Management 2010;13:91–95)