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- All Subjects: Nutrition
- Creators: Ohri-Vachaspati, Punam
- Member of: Theses and Dissertations
- Resource Type: Text
- Status: Published
Results: No significant associations between WIC store counts near children’s homes and consumption were observed in the overall sample at any distance. A small, but significant inverse relationship was seen in total added sugar consumption among children residing in WIC households only, with each additional WIC store within a 0.5 mile roadway network associated with a 0.24-decile lower consumption (p = .047). In age-stratified exploratory analysis, higher vegetable (p = .024) and combined fruits and vegetables (p = .006) consumption were seen in the under 5 age group only.
Conclusions: Living close to more WIC-authorized stores was associated with healthier consumption, but only for a subset of children and only for a few food categories examined. Lack of a consistent pattern of healthier consumption among children suggests that access to WIC stores may have a positive, albeit limited impact on children’s diets.
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Aim The aim of his study was to examine the glycemic response to three different types of pasta: wheat, rice and corn. Breath hydrogen, assessment of mood states, blood glucose and insulin were collected after ingestion of these pastas to determine the glycemic effects of these foods.
Methods: A double blinded crossover study design was utilized on a group of healthy individuals, and the test meals of wheat, rice and combinations of rice/corn, and corn/quinoa pastas were consumed one week apart in random order. Collections of fasting venous blood samples for insulin analysis, capillary blood from a finger stick for glucose analysis, breath hydrogen samples and satiety scales were used for glycemic response and mood states were collected prior to the meal (baseline) and then again after ingestion of the test meals. Attempts were made to explore the glycemic response of these test meals in relation to mood states.
Results: The glucose response showed no significant difference at baseline (p = .683) among all groups and no significant differences were seen post treatment at 30 minutes (p = .875). However, after 60 minutes all of the glucose concentrations began to decline except for the rice pasta which peaked at 90 minutes and the wheat pasta gave the most sustained decrease. The AUC glucose values showed no significant difference at both 120 (p=0.196) and 240 (p=0.734) minutes but with wheat pasta producing the lowest mean value. The POMS scores showed no significant differences between groups over time (p=.239) but the wheat group produced the highest score (worsening moods states).
Conclusion: These results indicate that the formulation and processing of gluten free pastas may affect the rate and absorption and the subsequent glycemic response after the consumption of these foods. Whether or not wheat contains an ingredient that slows absorption and/or negatively affects mood remains undetermined warrants future research in this area.
Objective: To determine the consumption frequency of foods with added sugar among smoking groups: nonsmokers, cigarette smokers, vapers, and dual users in young adults ages 18-24.
Methods: An observational cross-sectional study was conducted using an online Qualtrics survey that included questions on demographics, smoking habits, and added sugar content and was distributed across multiple platforms for 3 months. There were 47 qualifying participants that completed the survey.
Results: There were not many cigarette user or dual user respondents, so the groups studied were modified to nonsmokers and vapers+dual users (VDU) and nonsmokers vs. nicotine users that consisted of cigarette smokers, e-cigarette users, and dual users. There were 30 (63.8%) nonsmokers, 16 (34.1%) VDU, and 17 or 36.2% of all nicotine users recorded. The added sugar consumption frequency by the three groups was similar with scores of 1.37, 1.50, and 1.54 for nonsmokers, vapers+dual users, and nicotine users, respectively.
Conclusion: There was a high number of reported vapers in this study, and nonsmokers had the lowest added sugar consumption frequency closely followed by the VDU and all nicotine users group. All groups studied had relatively low added sugar scores. More research is needed to successfully compare the added sugar content of the four intended groups.
Policy Implications: Anti-vaping policies should be targeted to this group.