Neighborhood context and incidence of type 1 diabetes: the SEARCH for Diabetes in Youth study.

Findings regarding type 1 diabetes mellitus (T1DM) and neighborhood-level characteristics are mixed, with few US studies examining the influence of race/ethnicity. We conducted an ecologic study using SEARCH for Diabetes in Youth Study data to explore the association of neighborhood characteristics and T1DM incidence. 2002-2003 incident cases among youth at four SEARCH centers were included.

Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study.

Background: European ecologic studies suggest higher socioeconomic status is associated with higher incidence of type 1 diabetes. Using data from a case-control study of diabetes among racially/ethnically diverse youth in the United States (U.S.

Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments.

Despite interest in the built food environment, little is known about the validity of commonly used secondary data. The authors conducted a comprehensive field census identifying the locations of all food outlets using a handheld global positioning system in 8 counties in South Carolina (2008-2009). Secondary data were obtained from 2 commercial companies, Dun & Bradstreet, Inc.

Children's dietary reporting accuracy over multiple 24-hour recalls varies by body mass index category.

This secondary analysis investigated the influence of body mass index (BMI) category and sex on reporting accuracy during multiple 24-hour dietary recalls. On three occasions, each of 79 children (40 girls) was observed eating school meals and interviewed the next morning about the previous day's intake, with ≥ 25 days between any two consecutive occasions for a child. Using age/sex BMI percentiles, we categorized 48 children as healthy weight (≥ 5(th) percentile <85(th)), 14 as at risk of overweight (≥ 85(th) percentile <95(th)), and 17 as overweight (≥95(th) percentile).

Conclusions about children's reporting accuracy for energy and macronutrients over multiple interviews depend on the analytic approach for comparing reported information to reference information.

Objective: Validation study data are used to illustrate that conclusions about children's reporting accuracy for energy and macronutrients over multiple interviews (ie, time) depend on the analytic approach for comparing reported and reference information-conventional, which disregards accuracy of reported items and amounts, or reporting-error-sensitive, which classifies reported items as matches (eaten) or intrusions (not eaten), and amounts as corresponding or overreported.

Subjects And Design: Children were observed eating school meals on 1 day (n=12), or 2 (n=13) or 3 (n=79) nonconsecutive days separated by >or=25 days, and interviewed in the morning after each observation day about intake the previous day. Reference (observed) and reported information were transformed to energy and macronutrients (ie, protein, carbohydrate, and fat), and compared.

Conventional analyses of data from dietary validation studies may misestimate reporting accuracy: illustration from a study of the effect of interview modality on children's reporting accuracy.

Objective: To compare two approaches to analysing energy- and nutrient-converted data from dietary validation (and relative validation) studies - conventional analyses, in which the accuracy of reported items is not ascertained, and reporting-error-sensitive analyses, in which reported items are classified as matches (items actually eaten) or intrusions (items not actually eaten), and reported amounts are classified as corresponding or overreported.

Design: Subjects were observed eating school breakfast and lunch, and interviewed that evening about that day's intake. For conventional analyses, reference and reported information were converted to energy and macronutrients; then t-tests, correlation coefficients and report rates (reported/reference) were calculated.

Body mass index, sex, interview protocol, and children's accuracy for reporting kilocalories observed eaten at school meals.

This pilot study investigated body mass index (BMI; calculated as kg/m(2)), sex, interview protocol, and children's accuracy for reporting kilocalories. Forty 4th-grade children (20 low-BMI: >or=5th and <50th percentiles, 10 boys, 15 African American; 20 high-BMI: >or=85th percentile, 10 boys, 15 African American) were observed eating school meals (breakfast, lunch) and interviewed either that evening about the prior 24 hours or the next morning about the previous day, with 10 low-BMI (5 boys) and 10 high-BMI (5 boys) children per interview protocol. Five kilocalorie variables were analyzed using separate four-factor (BMI group, sex, race, interview protocol) analyses of variance.

Conventional energy and macronutrient variables distort the accuracy of children's dietary reports: illustrative data from a validation study of effect of order prompts.

Objective: Validation-study data are used to illustrate that conventional energy and macronutrient (protein, carbohydrate, fat) variables, which disregard accuracy of reported items and amounts, misrepresent reporting accuracy. Reporting-error-sensitive variables are proposed which classify reported items as matches or intrusions, and reported amounts as corresponding or overreported.

Methods: 58 girls and 63 boys were each observed eating school meals on 2 days separated by > or =4 weeks, and interviewed the morning after each observation day.