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Objective: This exploratory study assessed how 8-13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr).Design: Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined food categories were sorted, separately, by each child into piles of similar foods. Demographic data, BMI and 6-n-propylthiouracil (PROP) taster status were obtained.Setting: Participants attended the Children's Nutrition Research Center in the summer of 2006.Subjects: In all, 152 8-13-year-old children, predominantly English-speaking, of whom sixteen were predominantly Spanish-speaking.Results: Children created an average of 8.5 (5.3) piles with 7.9 (11.4) cards per pile for the F, and an average of 10.1 (4.8) piles with 6.2 (7.9) cards per pile for the V. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, BMI or PROP sensitivity. Children provided clusters names that were mostly 'Taxonomic - Professional' labels, such as salads, berries, peppers, for both F (51.8 %) and V (52.1 %).Conclusions: These categories should be tested to assess their ability to facilitate search of FaV items in a computerised 24 hdr for children in this age group. [ABSTRACT FROM AUTHOR]

Objective: To validate four scales -- outcome expectancies for purchasing fruit and for purchasing vegetables, and comparative outcome expectancies for purchasing fresh fruit and for purchasing fresh vegetables versus other forms of fruit and vegetables (F&V).Design: Survey instruments were administered twice, separated by 6 weeks.Setting: Recruited in front of supermarkets and grocery stores; interviews conducted by telephone.Subjects: One hundred and sixty-one food shoppers with children (18 years or younger).Results: Single dimension scales were specified for fruit and for vegetable purchasing outcome expectancies, and for comparative (fresh vs. other) fruit and vegetable purchasing outcome expectancies. Item Response Theory parameter estimates revealed easily interpreted patterns in the sequence of items by difficulty of response. Fruit and vegetable purchasing and fresh fruit comparative purchasing outcome expectancy scales were significantly correlated with home F&V availability, after controlling for social desirability of response. Comparative fresh vegetable outcome expectancy scale was significantly bivariately correlated with home vegetable availability, but not after controlling for social desirability.Conclusion: These scales are available to help better understand family F&V purchasing decisions. [ABSTRACT FROM AUTHOR]

Objectives: To identify the most common frequency of food-purchasing patterns and relate this pattern to characteristics of individuals and families.Design: A customer-intercept survey was conducted in the greater Houston area, Texas, USA, in 2002. The frequency of food shopping at supermarkets, convenience stores and restaurants to buy food for eating at home was assessed.Subjects: A total of 823 adults (78.5% female; mean age 37.4 years) who went to any of several grocery or convenience stores, including European, Hispanic and African Americans, and Asian/Pacific Islanders.Results: Major food-shopping patterns were a weekly big trip with a few small trips (34.9%), biweekly big trips with a few small trips (21.9%), no big shopping trips (15.4%), a weekly big trip without small trips (13.9%), a monthly big trip (8.3%), and biweekly big trips without small trips (6.4%). While 61.1% of participants never went to convenience stores to buy fruit and vegetables (F&V) for eating at home, 67% went to restaurants for F&V. African American families shopped for food least frequently, while Asian American families shopped for food most frequently. Educational level was negatively associated with the use of convenience stores and positively associated with take-away from restaurants.Conclusions: There is substantial variability in the frequency of food shopping. Future research on food shopping should incorporate this variable. [ABSTRACT FROM AUTHOR]

Food search in a computerized 24h dietary recall (24hdr) for children should be easiest when the categories reflect children's categorization of foods, in contrast to professional categories. This study assessed how 8-13 year old children categorized and labeled mixed foods (e.g. fried rice, lasagna), and how these were influenced by child characteristics. A set of 48 cards with pictures and names of mixed foods from 14 professionally defined food groups was sorted by each child into piles of similar foods. Participants (n=146), including 8-13 year old 130 English speaking, and 16 Spanish speaking children, attended data collection in the summer, 2006. One way ANOVA, pairwise comparisons and Robinson matrices for identification of clusters were used. Children created an average of 10.5 (+/-5.5) piles with 6.0 (+/-4.1) cards per pile. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, body mass index, or 6-n-propylthiouracil sensitivity. For the majority of the piles, children provided "taxonomic-professional" (26.0%) labels, such as vegetables, sandwiches and drinks, or "specific-food item" (23.0%) labels, i.e. the name of the food. These categories may be used to facilitate mixed food search in a computerized 24hdr for children in this age group. [ABSTRACT FROM AUTHOR]

Objective: To examine the relationship of 6-n-propylthiouracil (PROP) sensitivity to BMI while statistically controlling for demographic characteristics in two age groups of children: 9-10 years and 17-18 years (n 1551)., Design: Cross-sectional design with a multi-ethnic (White, African-American, Hispanic, Other) sample of 813 children aged 9-10 years and 738 children aged 17-18 years. Children were recruited from local elementary and high schools with at least 30 % minority ethnic enrolment. Children's height, weight and waist circumference were measured along with their PROP taster status. PROP was measured using two paper discs, one impregnated with NaCl (1.0 mol/l) and the other with PROP solution (0.50 mmol/l)., Results: A significant PROP sensitivity by socio-economic status (SES) interaction term (P = 0.010) was detected wherein supertasters had the largest BMI percentile and Z-score, but only among the group with highest SES., Conclusions: The results suggest that other factors overwhelmed the influence of PROP sensitivity on adiposity in lower-SES groups. The percentage of variance accounted for by the interaction term was about 1 %. Thus, PROP supertasters had the largest BMI percentile and Z-score, but only among the highest-SES group.

This study assessed how 8- to 13-year-old children categorized and labeled grain foods and how these categories and labels were influenced by child characteristics. The main hypotheses were that children categorized foods in consistent ways and these food categories differed from the professional food categories. A set of 71 cards with pictures and names of grain foods from eight professionally defined food groups was sorted by each child into piles of similar foods. There were 149 8- to 13-year-old children (133 English-speaking, 16 Spanish-speaking) in this exploratory study. One-way analysis of variance and Robinson matrices for identification of clusters of food items were calculated. Children created a mean (+/-standard deviation) of 8.3+/-3.8 piles with 8.6+/-9.1 cards per pile. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics. For the majority of the piles, children provided "taxonomic-professional" (34.5%) labels, such as bread for the professional category of breads, rolls, and tortillas, or "script" (26.1%) labels, such as breakfast for the professional category of pancakes, waffles, and flapjacks. These categories may be used to facilitate food search in a computerized 24-hour dietary recall for children in this age group.

Children tend to eat more fruit and vegetables when more are available in the home. We proposed and tested a model that predicts the availability at home (hereinafter termed "home availability") of fruit, 100% juice, and vegetables, using new measures of frequency of food shopping, purchase, and comparative purchase outcome expectancies (ie, the perceived benefits and costs of purchasing fruit and vegetables), home food pantry management practices, family social support for purchasing fruit and vegetables, food shopping practices, and body mass index (BMI). Participants (N=98) were recruited in 2004 in front of grocery stores and completed two telephone interviews. Cross-sectional hierarchical regression was employed with backward deletion of nonsignificant variables. Despite many statistically significant bivariate correlations between the new variables and home fruit, 100% juice, and vegetable availability, social support was the primary predictor of home fruit availability in multivariate regression. BMI and home 100% juice pantry management were the primary predictors of home 100% juice availability. Social support, BMI, and shopping practices were the primary predictors of home vegetable availability. Social support for purchasing fruit, 100% juice, and vegetables was an important, consistent predictor of home availability. These findings need to be replicated in larger samples.

Objective: Assess how 8- to 13-year-old children categorized and labeled food items for possible use as part of a food search strategy in a computerized 24-hour dietary recall., Design: A set of 62 cards with pictures and names of food items from 18 professionally defined food groups was sorted by each child into piles of similar food items., Setting: Participants attended the Children's Nutrition Research Center in the summer 2006., Participants: 148 8- to 13-year-old children (132 English speaking, 16 primarily Spanish speaking)., Main Outcome Measures: Sorting of food items into common groupings and their names., Analyses: Robinson matrices for identification of clusters of food items., Results: Children created on average 11.1 (+/- 4.4) piles with 5.4 (+/- 4.9) cards per pile. Robinson matrix clusters captured 92.4% of the variance in the sorting of food cards. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics. The label names provided by the children were most frequently categorized as "Taxonomic-Professional" (42.5%), such as meat, fruit, and drinks; or "Script" (26.4%), such as breakfast food, desserts, and snacks., Conclusion and Implications: Children categorized food items into similar clusters but used diverse names to label them. These categories may be used to facilitate food search for researchers in a computerized 24-hour dietary recall for children in this age group.

Home fruit, 100% juice, and vegetables (FJV) availability is related to increased FJV consumption by children. While FJV must be purchased for use in the home, no scales have been reported on home FJV pantry management practices. A scale for home FJV pantry management practices was generated from focus group discussions with diverse 162 food shoppers. A commonly used scale of home FJV availability was also assessed. A grocery store intercept survey recruited 171 food shoppers with children in front of supermarkets and grocery stores. Survey instruments were administered twice, separated by 6 weeks. Single dimensionality was observed for each scale. Item Response Theory parameter estimates revealed easily interpreted patterns in the sequence of items by difficulty of response. These scales are available to help better understand influences on family FJV purchase decisions.

Objective: To characterize food group purchases from grocery receipts., Methods: Food shoppers (aged>or=19 years with at least one child aged

Objective: To assess the psychometric characteristics of new scales of shopping practices and social support for purchasing fruits and vegetables., Design: Participants were recruited in front of diverse grocery stores. Telephone data collection was done on 2 occasions, separated by 6 weeks., Participants: 166 food shoppers with children at home participated., Main Outcome Measures: New scales of food shopping practices and social support for purchasing fruits and vegetables were psychometrically analyzed and related to a measure of home fruit or vegetable availability as a test of construct validity., Analysis: Both classical test and item response theory procedures were used. Correlations related the new measures to home fruit and vegetable availability., Results: Single dimension scales were specified for fruit and vegetable shopping practices (35% of the variance), fruit purchase social support (53% of the variance), and vegetable purchase social support (52% of the variance). Item response theory difficulty estimates varied from -0.64 to 0.73 for fruit and vegetable shopping practices, from -0.55 to 0.33 for fruit purchase social support, and from -0.55 to 0.34 for vegetable social support. Each scale significantly correlated with home fruit and vegetable availability (construct validity), even after controlling for social desirability of response (0.19 for shopping practices, 0.37 for fruit purchasing social support, and 0.28 for vegetable purchasing social support). Person separation reliability was 0.80 for food shopping practices, 0.74 for fruit purchasing social support, and 0.73 for vegetable purchasing social support., Conclusion: The scales performed well., Implications for Research and Practice: These scales are now available to help better understand fruit and vegetable shopping practices, fruit purchase social support, and vegetable purchase social support.

This essay explores the process and issues related to community collaborative research that involves Native Americans generally, and specifically examines the Navajo Nation's efforts to regulate research within its jurisdiction. Researchers need to account for both the experience of Native Americans and their own preconceptions about Native Americans when conducting research about Native Americans. The Navajo Nation institutionalized an approach to protecting members of the nation when it took over Institutional Review Board (IRB) responsibilities from the US Indian Health Service (IHS) in 1996. While written regulations for the Navajo Nation IRB are not dissimilar, and in some ways are less detailed than those of the IHS IRB, in practice the Navajo Nation allows less flexibility. Primary examples of this include not allowing expedited review and requiring prepublication review of all manuscripts. Because of its broad mandate, the Navajo Nation IRB may also require review of some projects that would not normally be subject to IRB approval, including investigative journalism and secondary research about Navajo People that does not involve direct data collection from human subjects.

Background: There is a need to find ways to increase the physical activity levels and improve the body composition and blood pressure of girls., Methods: Thirty 11-year-old girls were recruited from two after school programs in Houston Texas in Spring 2005. Participants from one program (16) were randomly assigned to intervention, the other (14) served as controls. BMI, BMI percentile, waist circumference and blood pressure were assessed before and after the intervention. Pilates classes were provided free of charge for an hour per day at the intervention site, 5 days a week, for 4 weeks. Four participants wore heart rate monitors during every session and completed enjoyment and perceived exertion questionnaires. Repeated measures analysis of variance with time (within) and group (between) as factors was performed., Results: Mean attendance was 75%, mean heart rate 104 bpm, mean perceived exertion 5.9 (1-10 scale) and enjoyment 4.4 (1-5 scale). There was a significant (P = 0.039) time by group interaction for BMI percentile. Graphs indicated that this difference was influenced by large reductions in the BMI percentile of healthy girls., Conclusions: Girls enjoyed Pilates, and participation for 4 weeks lowered BMI percentile. Pilates holds promise as a means of reducing obesity.