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Background: Higher intake of carbohydrates in the evening and later eating times has been associated with higher total energy intake (TEI)1-3 and higher risk of being overweight or obese.1,4 Though existing evidence indicates a link between added sugars intake and increased body mass index (BMI), the effect of daily patterns

Background: Higher intake of carbohydrates in the evening and later eating times has been associated with higher total energy intake (TEI)1-3 and higher risk of being overweight or obese.1,4 Though existing evidence indicates a link between added sugars intake and increased body mass index (BMI), the effect of daily patterns of added sugars intake on TEI and BMI is unknown. Research on added sugars has relied on self-report dietary assessments with limited days of dietary data, resulting in unreliable estimates. The purpose of this thesis was to describe patterns of added sugars consumption, and to investigate the relationship between dietary sugars, eating patterns, TEI, and BMI using 15-days of dietary data from a feeding study. Methods: 40 participants age 18 to 70 years completed a 15-d highly controlled feeding study which imitated their normal diet, while recording meal times. Meals and snacks were coded based on participant identified, time-of-day, and meal content specific criteria. All consumed foods and beverages were carefully weighed and entered into the Nutrition Data System for Research (NDSR) for analysis. Pearson correlation, independent t-test, one-way repeated measures analysis of variance (ANOVA) with post hoc tests, and multiple linear regressions were used to investigate the association between patterns of added sugars and energy intake, as well as eating frequency (EF), with TEI and BMI. Results: 15-d median added sugars intake was 9.7% of total calories. The highest contribution to added sugars intake (% of g/d) came from snacks (44%) in women and from afternoon (39%) consumption in men. The highest contribution to TEI came from dinner (30%) and afternoon (34%) consumption in women, and from lunch (31%) or dinner (30%) and afternoon (35%) consumption in men. Total eating occasion (EO) frequency had a negative association with TEI (r = -0.31) and no association with % energy from added sugars. In multivariate regression models, besides sex, % energy from beverages only (Adjusted R2 = 0.41) and % added sugars from dinner (Adjusted R2 = 0.39) were significant predictors of TEI, while none of the variables were associated with BMI. Conclusion: Changing one’s pattern of eating, (EF and % energy from beverages only and % added sugars from dinner), may reduce TEI, potentially reducing BMI.
ContributorsGunnerson, Hannah Marie (Author) / Tasevska, Natasha (Thesis advisor) / Johnston, Carol (Committee member) / Ohri-Vachaspati, Punam (Committee member) / Arizona State University (Publisher)
Created2019
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Objectives: This study examines weight loss strategies (eating, physical activity (PA), or both) adopted by overweight or obese (OWOB) parents and children in relation to age, income, gender, education, and race/ethnicity in a predominantly low-income and high minority sample. We also examine if OWOB parent-child dyads employed the same strategies

Objectives: This study examines weight loss strategies (eating, physical activity (PA), or both) adopted by overweight or obese (OWOB) parents and children in relation to age, income, gender, education, and race/ethnicity in a predominantly low-income and high minority sample. We also examine if OWOB parent-child dyads employed the same strategies to lose weight, and how these strategies vary by demographic variables.

Methods: Data was compiled from the New Jersey Childhood Obesity Study (NJCOB). A random digit dial household phone survey was used to select 1,708 households with at least one child aged 3-18 years from five cities in New Jersey. There were 231 OWOB parent-child dyads in this sample. Bivariate and multivariate analyses were performed to determine the demographic variables significantly associated with the type of weight loss strategy chosen.

Results: Males had higher odds of using PA and both eating and PA when compared to females. Higher income adults had higher odds of using all types of weight loss strategies compared to lower income adults. Adults with college education had higher odds of using eating and both eating and PA when compared to those with high school education. Older children (6-11 and 12-19 years) had higher odds of using PA when compared to younger children (2-5 years). Children of foreign-born parents (> 10 years in the US) had higher odds of using eating to lose weight compared to the children of US born parents. Children overall had higher odds of adopting a weight loss strategy if it was also adopted by the parent. In subgroup analysis, parent-child dyads had higher odds of adopting similar strategies among older children (12-19) and among girls, but this association did not hold true for younger children (2-11 years) and among boys for PA.

Conclusion: Older OWOB children (12-19) and female children had higher odds of adopting their parents’ weight loss strategies. Younger children did not follow the same pattern as their parents and among boys concordance was observed only for eating strategies. Results from the study may inform future family-based weight management interventions.
ContributorsDwaik, Noor (Author) / Ohri-Vachaspati, Punam (Thesis advisor) / Tasevska, Natasha (Committee member) / Lespron, Christy (Committee member) / Arizona State University (Publisher)
Created2016