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Jason P Block

Publications and source records attributed to Jason P Block.

5 recordsLinked to original sources
PubMed2004

Fast food, race/ethnicity, and income: a geographic analysis.

BACKGROUND: Environmental factors may contribute to the increasing prevalence of obesity, especially in black and low-income populations. In this paper, the geographic distribution of fast food restaurants is examined relative to neighborhood sociodemographics. METHODS: Using geographic information system software, all fast-food restaurants within the city limits of New Orleans, Louisiana, in 2001 were mapped. Buffers around census tracts were generated to simulate 1-mile and 0.5-mile "shopping areas" around and including each tract, and fast food restaurant density (number of restaurants per square mile) was calculated for each area. Using multiple regression, the geographic association between fast food restaurant density and black and low-income neighborhoods was assessed, while controlling for environmental confounders that might also influence the placement of restaurants (commercial activity, presence of major highways, and median home values). RESULTS: In 156 census tracts, a total of 155 fast food restaurants were identified. In the regression analysis that included the environmental confounders, fast-food restaurant density in shopping areas with 1-mile buffers was independently correlated with median household income and percent of black residents in the census tract. Similar results were found for shopping areas with 0.5-mile buffers. Predominantly black neighborhoods have 2.4 fast-food restaurants per square mile compared to 1.5 restaurants in predominantly white neighborhoods. CONCLUSIONS: The link between fast food restaurants and black and low-income neighborhoods may contribute to the understanding of environmental causes of the obesity epidemic in these populations.

Eating↗
PubMed2003

Are physicians equipped to address the obesity epidemic? Knowledge and attitudes of internal medicine residents.

BACKGROUND: To analyze whether internists are suited for their role in treating the growing numbers of obese patients, we surveyed residents about their knowledge and attitudes regarding obesity. Previous assessments have not analyzed familiarity with obesity measurement tools or the correlation between knowledge and attitudes. METHODS: We administered a survey to 87 internal medicine residents in two urban, university-based residency programs. RESULTS: Almost all respondents understood the medical consequences of obesity, but 60% did not know the minimum BMI for diagnosing obesity, 69% did not recognize waist circumference as a reasonable measure of obesity, and 39% incorrectly reported their own BMI. Although nearly all respondents agreed that treating obesity was important, only 30% reported treatment success. Forty-four percent felt qualified to treat obese patients, and 31% reported treatment to be futile. Knowledge and attitudes were not correlated. Rasch analysis of knowledge and attitude subscales showed satisfactory model fit and item reliability of at least 0.96. CONCLUSIONS: Despite solid knowledge of the comorbid conditions associated with obesity, residents have a poor grasp of the tools necessary to identify obesity. They also have negative opinions about their skills for treating obese patients. Residency training not only must improve knowledge of obesity measurement tools but also must address physicians' negative attitudes toward obesity treatment.

Adult↗
PubMed2003

Predictors of variation in office visit interval assignment.

OBJECTIVE: Despite the important influence of ambulatory appointment revisit intervals (RVI) on access to care, physicians receive no formal training in this area and research indicates that there is significant practice variation. Our objective was to examine whether predictors of RVI assignment that we had assessed using vignettes were also significant in the actual patient care setting. DATA SOURCES AND STUDY DESIGN: A cross-sectional survey of 59 internal medicine residents collected at the end of office visits for patients with hypertension or diabetes. Two hundred and twenty-eight patients seen in 1997 for continuity care in two academic clinics in New Orleans, Louisiana. DATA COLLECTION: The main outcome was RVI in weeks. We assessed the relationship between physician, visit, and patient-level covariates, and RVI assignment in univariate and multivariate analyses using hierarchical linear models. PRINCIPAL FINDINGS: The mean RVI was 12.4 weeks (range 1-42 weeks) and was similar for patients with diabetes and hypertension. The final model accounted for 35.7% of the variance in RVI assignment and included: perceptions of the patient's systolic blood pressure, disease stability, and compliance; comorbidity, physician age, sex, and identity; and changing therapy for the primary diagnosis. The identity of the physician was the largest contributor to the variance, accounting for 14.7%. CONCLUSIONS: Intrinsic characteristics of physicians and their subjective interpretations of their patients' disease stability are the most important determinants of ambulatory RVI assignment. Intervening to reduce this variation in practice is challenging because limited research is currently available on the optimum RVI for patients with chronic illnesses such as diabetes and hypertension.

Academic Medical Centers↗
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