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Background: Adolescent overweight and obesity are serious health risks, with prevalence varying by sociodemographic group. Studies link children's weight status and sex/race-ethnic differences with meeting recommendations for physical activity and diet. But, research examining the intersection of sociodemographic characteristics, behavior, and weight status is limited. This paper aims to identify sociodemographic differences in the association between adolescent weight status and meeting 6 national obesity-related recommendations. Methods: In 2011-2012, the Healthy Kids Colorado Survey was administered to all Denver high school students. Using descriptive and multivariate modeling, we examined subgroup associations between students' self-reported weight status and physical activity and diet. Results: Students (N = 6652) who met at least 1 recommendation were less likely to be at an unhealthy weight (OR = 0.87); also true for students who met at least 1 physical activity recommendation (OR = 0.80). However, the association varied across subgroups. The association between weight status and meeting at least 1 nutritional recommendation (OR = 0.91) was inconsistent across subgroups. Unexpected patterns also emerged in subgroup associations between meeting specific recommendations and weight status. Conclusions: Identifying subgroup differences in meeting recommendations and the association with weight status is important in identifying high risk groups and improving policy and programs that target childhood obesity prevention.

Problems with laboratory tests appear to be rare but when they do occur, a substantial percentage could have a significant impact on patient care. Researchers collected data on laboratory problems associated with patient visits from 124 primary care physicians at 49 practices enrolled in the Ambulatory Sentinel Practice Network in a six-month period. A total of 180 laboratory problems were reported, which is a rate of 1.1 laboratory problems per 1,000 patient visits. However, tests are ordered in only one-third of all patient visits, making the true rate 3.4 problems per 1,000 patient visits that include a test. Forty-nine (27%) of the problems affected patient care and ten problems had a significant impact on patient care. They included lost Pap smears that required a second visit, a false negative urine culture that caused a delay in treatment and a delayed report on potassium levels that caused the patient to be hospitalized for low blood potassium., Objective.--To examine the frequency and characteristics of problems in laboratory testing in primary care physicians' offices and their impact on health care. Design.--Prospective descriptive study in which participating office-based primary care clinicians reported each occurrence of any laboratory incident during a 6-month study. Each identified problem was reported on a structured data collection instrument with an open-ended description of the problem. Sefting.--Primary care physicians' offices in North America. Participants.--One hundred twenty-four primary care clinicians in 49 practices of the Ambulatory Sentinel Practice Network (ASPN). Main Results.--A total of 180 problems were reported, yielding a crude rate of 1. 1 problems per 1 000 patient visits. Problems involving test ordering and specimen handling were the most common 56%), while those attributable to the test analysis itself accounted for 13% of the total. In the judgment of the practice staff, 27% of the reported problems had an impact on patient care. Of the 24 cases for which the specific impact was known and reported, half of the impacts were minor and about half were significant, as judged by whether or not the diagnosis and/or treatment of the patient was measurably affected. Conclusions.--Clinically apparent problems with laboratory testing in primary care were found at a rate of 1.1 problems per 1000 patient visits. Of the laboratory problems that occurred in this study, 27% were judged by the physician to have an effect on patient care. (JAMA 1996;275:635-639)

Evidence shows that not all places offer people equal access to affordable, healthy food; unequal access is a potential explanation for disparities in health. This study applied the theoretically grounded social science concept of health equity to shift the focus from equal (same for all) to equitable (needs-based) access. Using data from Taking Neighborhood Health to Heart (TNH2H), a large community-based participatory research (CBPR) initiative in Denver, Colorado, this article examines how food access can vary based on social advantage and disadvantage (n = 926). Findings uncovered important inequities and demonstrated a new and promising approach to understanding the food environment–health relationship. [ABSTRACT FROM AUTHOR]