Matching Items (2)
Description
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
Description
Although many studies have looked into the relationship between depression and eating behaviors, most have not looked into the interaction between depressive mood, weight status, and eating behaviors; specifically the consumption of added sugars. This longitudinal study examined the relationship between depressive mood and added sugar consumption among college freshmen, and how weight status play a role in this relationship. A web-based survey assessing depressive mood score and added-sugar foods consumption, and height and weight measurements were obtained. A total of 511 participants (aged 18.5±0.4 years; 70.5% females) were recruited at Arizona State University from August 2015 through January 2016. The main outcomes measured were the relationship between depressive mood score and added sugar consumption (tsp/d) within each participants and between mean weight status groups (underweight & “healthy” weight, overweight, and obese). In the study, the mean added sugar consumption was 19.1±11.87 tsp/d. There were no significant association between depressive mood and added sugar consumption within or between freshman students over time. But overall, there was a slightly positive relationship between depressive mood and added sugar consumption across four time points. No significant interaction was found between BMI, depressive mood, and added sugar consumption within each student, but significant differences in the relationship of depressive mood and added sugar between mean weight status groups (p=0.025). Each individual’s BMI in the previous time points was significantly negatively associated with added sugar consumption in the current time points (beta = -0.70; p=0.010). The results from this study indicates that depressive mood may not affect added sugar intake in this sample. BMI did not have an impact on the relationship within each student, but have an impact between mean weight status groups, so further studies are needed to continue look at how BMI influences the relationship between depressive mood and added sugar consumption.
ContributorsChen, Yufei (Author) / Bruening, Meredith (Thesis advisor) / Hekler, Eric (Committee member) / Whisner, Corrie (Committee member) / Todd, Michael (Committee member) / Arizona State University (Publisher)
Created2017