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No studies have evaluated the impact of tracking resting energy expenditure (REE) and modifiable health behaviors on gestational weight gain (GWG). In this controlled trial, pregnant women aged >18 years (X=29.8±4.9 years) with a gestational age (GA) <17 weeks were randomized to Breezing™ (N=16) or control (N=12) for 13 weeks.

No studies have evaluated the impact of tracking resting energy expenditure (REE) and modifiable health behaviors on gestational weight gain (GWG). In this controlled trial, pregnant women aged >18 years (X=29.8±4.9 years) with a gestational age (GA) <17 weeks were randomized to Breezing™ (N=16) or control (N=12) for 13 weeks. The Breezing™ group used a real-time metabolism tracker to obtain REE. Anthropometrics, diet, and sleep data were collected every 2 weeks. Rate of GWG was calculated as weight gain divided by total duration. Early (GA weeks 14-21), late (GA weeks 21-28), and overall (GA week 14-28) changes in macronutrients, sleep, and GWG were calculated. Mediation models were constructed using SPSS PROCESS macro using a bootstrap estimation approach with 10,000 samples. The majority of women were non-Hispanic Caucasian (78.6%). A total of 35.7% (n=10), 35.7% (n=10), and 28.6% (n=8) were normal weight, overweight, and obese, respectively, with 83.3% (n=10) and 87.5% (n=14) of the Control and Breezing™ groups gaining above IOM GWG recommendations. At baseline, macronutrient consumption did not differ. Overall (Breezing™ vs. Control; M diff=-349.08±150.77, 95% CI: -660.26 to -37.90, p=0.029) and late (M diff=-379.90±143.89, 95% CI:-676.87 to -82.93, p=0.014) changes in energy consumption significantly differed between the groups. Overall (M diff=-22.45±11.03, 95% CI: -45.20 to 0.31, p=0.053), late (M diff=-23.16±11.23, 95% CI: -46.33 to 0.01, p=0.05), and early (M diff=20.3±10.19, 95% CI: -0.74 to 41.34, p=0.058) changes in protein differed by group. Nocturnal total sleep time differed by study group (Breezing vs. Control; M diff=-32.75, 95% CI: -68.34 to 2.84, p=0.069). There was a 11.5% increase in total REE throughout the study. Early changes in REE (72±211 kcals) were relatively small while late changes (128±294 kcals) nearly doubled. Interestingly, early changes in REE demonstrated a moderate, positive correlation with rates of GWG later in pregnancy (r=0.528, p=0.052), suggesting that REE assessment early in pregnancy may help predict changes in GWG. Changes in macronutrients did not mediate the relationship between the intervention and GWG, nor did sleep mediate relationships between dietary intake and GWG. Future research evaluating REE and dietary composition throughout pregnancy may provide insight for appropriate GWG recommendations.
ContributorsVander Wyst, Kiley Bernhard (Author) / Whisner, Corrie M (Thesis advisor) / Reifsnider, Elizabeth G. (Committee member) / Petrov, Megan E (Committee member) / Buman, Matthew (Committee member) / Shaibi, Gabriel Q (Committee member) / Arizona State University (Publisher)
Created2019
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Description
Sleep is an extremely important component of living a healthy life than can impact development and behavior starting in childhood. We expanded on past research regarding this topic to determine the role of childhood sleep and the onset of problem behaviors (externalizing and internalizing behaviors) among a sample of school-aged

Sleep is an extremely important component of living a healthy life than can impact development and behavior starting in childhood. We expanded on past research regarding this topic to determine the role of childhood sleep and the onset of problem behaviors (externalizing and internalizing behaviors) among a sample of school-aged children. We predicted that lower sleep duration, decreased sleep efficiency, and prolonged sleep latency along with negative sleep habits would be associated with problem behaviors. Our sample was made up of 381 school-aged children (M = 8.49 years old, 49.6% female, 56% Caucasian) who were recruited through the Arizona Twin Study when the children were 12 months old. Mixed-model regressions included sex, socioeconomic status, and zygosity as covariates. Correlations and mixed-model regressions showed a significant relationship between negative sleep habits and problem behaviors (both externalizing and internalizing). Our results revealed that those who experience higher amounts of parent-reported negative sleep habits also demonstrate externalizing behaviors (aggression) and internalizing behaviors (anxiety). The findings in the current study are consistent with past research on this topic and suggest that poor sleep impacts daytime functioning and behavior.
ContributorsLee, Jenna Nicole (Author) / Valiente, Carlos (Thesis director) / Doane, Leah (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Academic success in childhood is crucial for later academic, occupational, and life success (Heckman, 2006; Kuncel, Hezlett, & Ones, 2004; Spengler, Brunner, Damian, Lüdtke, Martin, & Roberts, 2015). Recent research suggests sleep is important for academic success but lacks objective measures of sleep (Buckhalt, El-Sheikh, Keller, & Kelly, 2009; Curcio,

Academic success in childhood is crucial for later academic, occupational, and life success (Heckman, 2006; Kuncel, Hezlett, & Ones, 2004; Spengler, Brunner, Damian, Lüdtke, Martin, & Roberts, 2015). Recent research suggests sleep is important for academic success but lacks objective measures of sleep (Buckhalt, El-Sheikh, Keller, & Kelly, 2009; Curcio, Ferrara, & De Gennaro, 2006; Dewald, Meijer, Oort, Kerkhof, & Bögels, 2010; Philbrook, Hinnant, Elmore-Staton, Buckhalt, & El-Sheikh, 2017). The purpose of this study was to examine the relations between sleep and academic success among children through objective measures of sleep in order to expand on the literature. Our sample consisted of 381 twins (50.4% male; 56% Caucasian; 36.5% same sex dizygotic) participating in an 8-year assessment from a longitudinal twin study. Actigraphy was used to assess sleep while various measures were used to assess academic success. A series of mixed model regressions were used to test the main predictions, with family entered as a random effect. Sex, age, Hispanic, SES, and zygosity were controlled for. Significant negative relations were revealed between sleep latency and reading and sleep latency and school liking. Additionally, SES was the most consistent significant positive predictor of our measures of academic success. These results suggest sleep and effects of SES should be considered when developing ways to help children’s school performance.
ContributorsAlvarez, Rachel Marie (Author) / Valiente, Carlos (Thesis director) / Doane, Leah (Committee member) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The present study tested 1) whether children’s bedtimes, wake times, and sleep

durations change as they transition into kindergarten (TtoK), 2) if changes to children’s

sleep schedules were contingent on their pre-kindergarten (T1) napping status and if T1

bedtimes were related to fall (T2) and spring (T3) bedtimes and durations, and 3) whether

T1

The present study tested 1) whether children’s bedtimes, wake times, and sleep

durations change as they transition into kindergarten (TtoK), 2) if changes to children’s

sleep schedules were contingent on their pre-kindergarten (T1) napping status and if T1

bedtimes were related to fall (T2) and spring (T3) bedtimes and durations, and 3) whether

T1 sleep, changes to sleep from T1 to T2, and concurrent sleep quality were related to

academic achievement and participation in 51 kindergarteners. It was hypothesized that

1) wake times would be earlier and sleep duration would be shorter during kindergarten

(T2 and T3) than at T1, 2) children who napped at T1 would go to bed later and have

shorter sleep duration than their non-napping peers and T1 bedtimes would be positively

associated with T2 and T3 bedtimes and negatively associated with T2 and T3 durations,

and 3) more optimal sleep (e.g., consolidated, consistent, and high quality) would be

positively related to academic achievement and participation. Parents reported on

children’s bedtimes, wake times, and nap lengths during T1, T2, and T3. During T3

children wore actigraphs for five consecutive school nights and completed the Woodcock

Johnson tests of achievement (WJ-III). Teachers also reported on children’s participation

in the classroom during T3. Results demonstrated that bedtimes and wake times were

earlier at T2 and T3 than T1. Duration was shorter at T2 and T3 than T1. Additionally,

napping was unrelated to bedtimes and durations, but T1 bedtime was positively related

to T2 and T3 bedtimes and negatively related to T2 and T3 durations. Finally, T1 nap

length, change in bedtimes, and Actigraphy duration were negatively related to

participation. Actigraphy onset variability was positively related to participation.
ContributorsBerger, Rebecca Hilary (Author) / Valiente, Carlos (Thesis advisor) / Eisenberg, Nancy (Committee member) / Doane, Leah (Committee member) / Arizona State University (Publisher)
Created2015
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Description
This body of research sought to explore relationships between cognitive function and physical activity (PA), sedentary behavior (SB), and sleep, independently and in conjunction, in mid-life to older adults with no known cognitive impairment. Aging is associated with cognitive decline, and lifestyle behaviors such as PA, SB, and sleep, may

This body of research sought to explore relationships between cognitive function and physical activity (PA), sedentary behavior (SB), and sleep, independently and in conjunction, in mid-life to older adults with no known cognitive impairment. Aging is associated with cognitive decline, and lifestyle behaviors such as PA, SB, and sleep, may mitigate this decline. First, a systematic review and meta-analysis was conducted to examine the effect of aerobic PA interventions on memory and executive function in sedentary adults. Second, a longitudinal study was conducted to examine the association between SB and odds of incident cognitive impairment, and SB and cognitive decline in older adults. Last, a cross-sectional study was conducted to examine the joint associations between different levels of sleep with levels of PA, and sleep with levels of sedentary time on memory and executive function. This body of research provided evidence to support the association between aerobic PA and improved cognitive function, SB and incident cognitive impairment and cognitive function declines, and the joint association of sleep and different levels of PA and ST on cognitive function by hypertension status.
ContributorsHoffmann, Nicole M (Author) / Lee, Rebecca E (Thesis advisor) / Petrov, Megan E (Thesis advisor) / Marek, Karen (Committee member) / Arizona State University (Publisher)
Created2020