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14. Sleep Problems Are Associated with Academic Performance in a National Sample of Collegiate Athletes

Author

Turner, Robert W., II, Vissa, Kalpana, Hall, Christine, Poling, Kristi, Athey, Amy, Alfonso-Miller, Pamela, Gehrels, Jo-Ann, and Grandner, Michael A.

Abstract

Objective: Examine associations between a range of sleep problems and academic performance in a national sample of collegiate athletes. Participants: Data were obtained from the National College Health Assessment of US college/university students from 2011-2014 (N = 8,312 collegiate athletes). Methods: Univariate comparisons for all sleep variables and demographics were stratified across GPA, using one-way ANOVA for continuous variables and chi-square for categorical variables. Multinomial logistic regression models, with GPA as outcome (reference = A) and sleep variable as predictor, were examined and adjusted for age, sex, and survey year. Ordinal regression examined a 1-level change in GPA associated with each sleep variable, adjusted for covariates. Results: Sleep difficulty was associated with increased likelihood of B/C averages. Initial-insomnia was associated with increased likelihood of B/C, and D/F averages. Tiredness was associated with increased likelihood of B/C, and D/F averages. Conclusions: Sleep problems are highly prevalent and associated with poorer academic performance in collegiate athletes.

Published
2021
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21. Association of Birthplace for Sleep Duration, Sleep Quality, and Sleep Disorder Symptoms, at the US–Mexico Border.

Author

Ghani, Sadia B., Granados, Karla, Wills, Chloe C.A., Alfonso-Miller, Pamela, Buxton, Orfeu M., Ruiz, John M., Parthasarathy, Sairam, Patel, Sanjay R., Molina, Patty, Seixas, Azizi, Jean-Louis, Girardin, and Grandner, Michael A

Subjects
SLEEP duration, SLEEP quality, SLEEP disorders, HISPANIC Americans, BIRTHPLACES, HYPERSOMNIA
Abstract

The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US–Mexico border. Data were collected in 2016, from N = 100 adults of Mexican descent from the city of Nogales, AZ, at the US–Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II). The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep (p =.011), and 1.65 greater PSQI score (p =.031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p =.030) and severe difficulty staying asleep (OR = 11.2, p =.050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P =.020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep. Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Modeling Risk Factors for Sleep- and Adiposity-Related Cardiometabolic Disease: Protocol for the Short Sleep Undermines Cardiometabolic Health (SLUMBRx) Observational Study

Author

Knowlden, Adam P, Higginbotham, John C, Grandner, Michael A, and Allegrante, John P

Subjects
Medicine, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundObesity and short sleep duration are significant public health issues. Current evidence suggests that these conditions are associated with cardiovascular disease, metabolic syndrome, inflammation, and premature mortality. Increased interest in the potential link between obesity and short sleep duration, and its health consequences, has been driven by the apparent parallel increase in the prevalence of both conditions in recent decades, their overlapping association with cardiometabolic outcomes, and the potential causal connection between the two health issues. The SLUMBRx (Short Sleep Undermines Cardiometabolic Health) study seeks to contribute to the development of a comprehensive adiposity-sleep model while laying the groundwork for a future research program that will be designed to prevent and treat adiposity- and sleep-related cardiometabolic disease risk factors. ObjectiveThis SLUMBRx study aims to address 4 topics pertinent to the adiposity-sleep hypothesis: the relationship between adiposity and sleep duration; sex-based differences in the relationship between adiposity and sleep duration; the influence of adiposity indices and sleep duration on cardiometabolic outcomes; and the role of socioecological factors as effect modifiers in the relationship between adiposity indices, sleep, and cardiometabolic outcomes. MethodsSLUMBRx will employ a large-scale survey (n=1000), recruiting 159 participants (53 normal weight, 53 overweight, and 53 obese) to be assessed in 2 phases. ResultsSLUMBRx was funded by the National Institutes of Health, Heart, Lung, and Blood Institute through a K01 grant award mechanism (1K01HL145128-01A1) on July 23, 2019. Institutional Review Board (IRB) approval for the research project was sought and obtained on July 10, 2019. Phase 1 of SLUMBRx, the laboratory-based component of the study, will gather objective adiposity indices (air displacement plethysmography and anthropometrics) and cardiometabolic data (blood pressure, pulse wave velocity and pulse wave analysis, and a blood-based biomarker). Phase 2 of SLUMBRx, a 1-week, home-based component of the study, will gather sleep-related data (home sleep testing or sleep apnea, actigraphy, and sleep diaries). During phase 2, detailed demographic and socioecological data will be collected to contextualize hypothesized adiposity and sleep-associated cardiometabolic disease risk factors. Collection and analyses of these data will yield information necessary to customize future observational and intervention research. ConclusionsPrecise implementation of the SLUMBRx protocol promises to provide objective and empirical data on the interaction between body composition and sleep duration. The hypotheses that will be tested by SLUMBRx are important for understanding the pathogenesis of cardiometabolic disease and for developing future public health interventions to prevent its conception and treat its consequences. International Registered Report Identifier (IRRID)PRR1-10.2196/27139

Published
2021
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