Matching Items (7)
Description
Two studies were conducted to test a model to predict healthy lifestyle behaviors, physical activity, and body mass index (BMI) in Taiwanese adolescents by assessing their physical activity and nutrition knowledge, healthy lifestyle beliefs, and perceived difficulty in performing healthy lifestyle behaviors. The study drew upon cognitive behavioral theory to develop this study. The pilot study aimed to test and evaluate psychometric properties of eight Chinese-version scales. The total sample for the pilot study included 186 participants from two middle schools in Taiwan. The mean age was 13.19 for boys and 13.79 for girls. Most scales including Beck Youth Inventory self-concept, Beck Youth Inventory depression, Beck Youth Inventory anxiety, healthy lifestyle beliefs, perceived difficulty, and healthy lifestyle behaviors scales Cronbach alpha were above .90. The Cronbach alpha for the nutrition knowledge and the activity knowledge scale were .86 and .70, respectively. For the primary study, descriptive statistics were used to describe sample characteristics, and path analysis was used to test a model predicting BMI in Taiwanese adolescents. The total sample included 453 participants from two middle schools in Taiwan. The mean age of sample was 13.42 years; 47.5% (n = 215) were males. The mean BMI was 21.83 for boys and 19.84 for girls. The BMI for both boys and girls was within normal range. For path analysis, the chi-square was 426.82 (df = 22, p < .01). The CFI of .62 and the RMSEA of .20 suggested that the model had less than an adequate fit (Hu & Bentler, 1999). For alternative model, dropping the variable of gender from the model, the results indicated that it in fact was an adequate fit to the data (chi-square (23, 453) =33.75, p> .05; CFI= .98; RMSEA= .03). As expected, the results suggested that adolescents who reported higher healthy lifestyle beliefs had more healthy lifestyle behaviors. Furthermore, adolescents who perceived more difficulty in performing healthy lifestyle behaviors engaged in fewer healthy lifestyle behaviors and less physical activity. The findings suggested that adolescents' higher healthy lifestyle beliefs were positively associated with their healthy lifestyle behaviors.
ContributorsChan, Shu-Min (Author) / Melnyk, Bernadette Mazurek (Thesis advisor) / Belyea, Michael (Thesis advisor) / Chen, Angela Chia-Chen (Committee member) / Dodgson, Joan (Committee member) / Arizona State University (Publisher)
Created2012
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
Given the continued increase in obesity rates in the United States, there has been growing research regarding factors related to obesity. Researchers have examined biological factors, such as set point theory, as well as various psychological factors such as motivation, self-efficacy, and eating styles. Taster-type, defined as how an individual experiences the perception of taste (particularly bitterness), is a recent area of research that has explored the potential relationship between this phenomenon and obesity. The current study examined whether taster-type impacted weight loss, along with secondary measures of BMI, waist circumference, and food neophobia, as well as taster-type’s impact on these measures over time. This study also examined the potential role of taster-type as a predictor of weight loss, independent of the psychological variables of motivation, self-efficacy, and eating styles. Ninety adult participants, consisting of 64 females and 19 males were recruited for this study. They were asked to diet for four weeks; 60 finished the full four weeks and completed psychosocial measures over two time periods. They were asked to record their food using an online food journal, attend weekly meetings for weigh-ins, and were given psychoeducational materials regarding factors affecting weight loss. The results indicated that taster-type was not a significant factor in BMI or waist circumference, but taster-type did interact with time to reveal that supertasters consistently lost weight across the four week dieting period while nontasters leveled off after Week 2. Additionally, both groups increased in food neophobia from the start of the dieting period to the end of Week 4. Consistent with previous research, motivation and self-efficacy predicted weight loss; however, taster-type did not increase the prediction of weight loss across the dieting period. This effect only occurred at Week 2. By Week 4, no psychosocial variables were significant predictors of weight loss.
ContributorsWagner, Melissa C (Author) / Robinson-Kurpius, Sharon (Thesis advisor) / Capaldi Phillips, Elizabeth (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2016
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
Description
Dietary supplement (DS) use among adults is on the rise. This growing trend in DS use mirrors the quick and exponential growth of the fitness industry. The fitness industry focuses on the “appearance of health”, although some individuals focus on their appearance over and above their health. As a result of this focus on appearance, certain aspects of this unregulated industry promote unhealthy standards of beauty and an increase in negative body image, and influences at-risk youth to engage in dangerous practices such as extreme diet and exercise routines, or the misuse of dietary supplements. All of these factors have been linked to appearance and performance enhancing drug use, which is associated with substance use in athletes and non-athletes. This study sought to explore the role of gender as it pertained to dietary supplement use, specifically how gender differences amongst predictors of DS use (including BMI, physical activity, and body image) were associated with overall substance use in college students. The relationship between current DS use and other substance use was also examined. Students recruited from ASU fitness centers completed a survey which included questions on demographics, height and weight to calculate BMI, and several published, standardized questionnaires used to measure drug use, physical activity, body image, steroid and ephedrine use and attitudes, and dietary supplement use. There were significant gender differences in DS use as well as predictors or DS use. Controlling for demographic information, energy enhancing DS use and knowing someone who used steroids increased the likelihood an individual intended on using steroids in the future. Body image was not related to substance use in males, and physical activity mediated the relationship between DS use and substance use in males. While body image was associated with substance use in females, neither physical activity nor body image mediated the relationship between DS use and substance use in females.
ContributorsBucko, Agnes G (Author) / Vargas, Perla A (Thesis advisor) / Kassing, Jeffrey (Committee member) / Youngstedt, Shawn (Committee member) / Arizona State University (Publisher)
Created2017
DescriptionThe goal of this study is to explore the relationship between breastfeeding, postpartum depression and postpartum weight at 1 and 6 months.
ContributorsFlowers, Jenna (Author) / Reifsnider, Elizabeth (Thesis director) / Bever, Jennie (Committee member) / Moramarco, Michael (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
PURPOSE: The aim of this study was to determine if the linear and nonlinear components of the energy expenditure-walking speed relationship are influenced by body mass index (BMI; kg/m2). The secondary aims were to determine if the relationship was influenced by age, height, and sex. METHODS: Subjects (n=182) walked at 2, 3, and 4 mph for six minutes each with oxygen consumption (V̇O2; ml/kg/min) and measured via indirect calorimetry and converted to energy expenditure (EE; W/kg). Because of the curvilinear change in metabolic rate with increase in walking speed, polynomial random coefficient regression (PRCR) was employed to produce a model which captures the slope of change. Individual level linear and quadratic coefficients were analyzed for relationships with BMI, age, height, and sex. RESULTS: The net V̇O2 regression formula for walking was 1.79(x-3)2+4.97(x-3)+9.32 where x is speed in mph. BMI was modestly correlated with the quadratic coefficients (r = 0.15 to 0.17, p = 0.02 to 0.04) but not the linear coefficients (r =0.02- 0.07, p = 0.36-0.78) for V̇O2 and EE. There was no difference in coefficients between normal BMI (18.5-<25.0 kg/m2), overweight (25-<30.0 kg/m2) and obese (>30.0 kg/m2) groups (H = 1.5-4.0, p = 0.13-0.48). Delta V̇O2 for 2-3 mph, 3-4 mph, and 2-4 mph were not correlated with BMI (r = -0.02 - 0.13, p = 0.11 - 0.41). Height was inversely correlated with the linear and quadratic coefficients (r = -0.32 to -0.14, p = 0.09). Age was not correlated to coefficients (r = -0.16 to 0.32, p = 0.06-0.44). The coefficients for sex were not different after controlling for height in ANCOVA (F(1,179)=0.3-2.9, p >0.09). Age was not correlated to coefficients (r = -0.16 to –0.32, p = 0.06-0.44). CONCLUSION: Although BMI had a modest relationship with the quadratic coefficient, it explained less than 3% of the variance in V̇O2 or EE. Combined with the absence of a delta V̇O2 or a linear component, BMI does not influence the energy expenditure-walking speed relationship. Height explained up to 9% of the variance in the coefficients and eliminated apparent sex differences. Age was not related to the coefficients.
ContributorsBeaumont, Joshua S (Author) / Gaesser, Glenn A (Thesis advisor) / Angadi, Siddhartha S (Thesis advisor) / Adams, Marc A (Committee member) / Dickinson, Jared M (Committee member) / Peterson, Daniel S (Committee member) / Arizona State University (Publisher)
Created2023