(1) Background: Unhealthy sleep durations (short and long sleep) are associated with emotional distress (ED). Minority populations, specifically Blacks, are more burdened with unhealthy sleep durations and ED. The ameliorative effect of physical activity (PA) on ED and sleep duration may provide insight into how to reduce the burden among Blacks and other minorities. However, it is unclear whether PA attenuates the relationship between sleep and ED, and whether this relationship differs by race. (2) Methods: We analyzed data from the nationally representative 2005–2015 National Health Interview Survey (NHIS) dataset. ED, physical activity, and sleep duration were collected through self-reports. Regression analyses investigated the moderating effect of PA on the relationship between sleep and ED (adjusting for age, sex, BMI, and employment status) and stratified by race. (3) Results: We found that sleep duration was independently associated with ED. Physical activity moderated the relationship between sleep and ED, the full population, and Whites, but not Blacks. (4) Conclusion: PA moderated the relationship between short, average, or long sleep and ED, but in stratified analyses, this was only evident for Whites, suggesting Blacks received differing protective effects from physical activity. Further research should be performed to understand the connection of physical activity to sleep and mental health.
Introduction Initial download and use of sleep tracking is very high, but prolonged use is very low. Poor prolonged use may be attributable to several factors such as engagement, functionality, aesthetics, information, and recommendation. We appraised these five factors in 16 consumer- and research/medical- grade digital sleep devices. Methods Three reviewers independently assessed 16 consumer- and medical-grade sleep digital devices using the Mobile Application Rating Scale (MARS) App quality ratings, which measures engagement (engagement, entertainment, interest, customization, interactivity, target group), functionality (functionality, performance, ease of use, navigation, gestural design), aesthetics (layout, graphics, visual appeal), information (Accuracy. Goals, Quality of information, Quantity of information, Visual information, Credibility, and Evidence base) and recommended on a Likert scale, with 1- Inadequate to 5 Excellent. Each subcategory is rated on a 1-5 Likert scale which is summed for each category: engagement (30), functionality (25), aesthetics (15), information (35) and recommended (yes or no). Results Devices that had the highest engagement score were Fitbit (27), Apple Watch (27), Garmin (27), and Dreem 2 headband (25.5). Apple Watch (30) had highest score; while Fitbit (13), Apple Watch (13), Garmin (13), Samsung Gear (13) had highest aesthetic score. While for information, ActiGraph (35), SOMNOwatch plus (35), CleveMed SleepView Monitor (35), CleveMed Sapphire PSG (35), SOMNOscreen plus (35), Nox T3 Sleep Monitor (35) and Nox A1 PSG System (35) had the highest ratings. The Dreem 2 headband has the potential induce prolong use among users with and without sleep disorders, based on high scores on engagement (25.5), Functionality (20.5), and Information (26.5). Conclusion Consumer- and research-grade digital devices that measure sleep have varying levels of engagement, functionality, aesthetics, information and recommendations to facilitate prolong use. Consumer grade devices had higher engagement, functionality and aesthetics scores, while research grade devices had higher information and recommendation scores. If consumer- and research-grade devices are to have prolonged use, standardization is needed across the five MARS components. Support K01HL135452, R01MD007716, R01HL142066, and K07AG052685
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Introduction Cancer survivors experience an increased stress burden. Twenty-five percent (25%) of cancer survivors experience persistent depressive and anxiety symptoms and 40% are afflicted with chronic sleep problems. Analysis of this relationship between survivors’ mental health and sleep may elucidate components of stress burden in a particularly vulnerable population. This study examined the relationship between anxious and depressive symptoms and frequency predicting sleep patterns, comparing individuals with a cancer history versus those without. Methods Data emanated from the 2020 National Health Interview Survey dataset (n=31,568). Six percent (n=1936) of respondents reported a cancer history. The primary outcome was sleep duration, based on the average hours of sleep per night an individual reported over the past month, which was coded into “healthy” (7-8 hrs.) vs “unhealthy” (< 7 hrs. or > 9 hrs.) sleep. Level of anxiety and depression as well as frequency of reported symptoms were included in the models as predictors. Binary logistic regression models were performed to determine the discrete impact of depression and anxiety on sleep duration among individuals with and without a cancer history. Adjusted models included the demographic covariates of age, sex, education, household income, and race. Results In adjusted models, frequency of anxious feelings (OR = 1.19, p<.01,), frequency of depressive feelings (OR =1.29, p<.01,), level of anxious feelings (OR = 1.38, p<.01,), and level of depressive feelings (OR=1.15, p<.01) significantly predicted unhealthy sleep in the full sample. However, among individuals with a cancer history, frequency of anxious feelings (OR =1.16, p<.01,), level of anxious feelings (OR = 1.28, p<.01,) and frequency of depressive feelings (OR = 1.23, p<.01,) significantly predicted unhealthy sleep duration, but level of depressive feelings did not (OR = 1.08, p=.13,). Conclusion Mental health and sleep are closely and bidirectionally connected in the general population, but among individuals with a history of cancer the link between level of depression and healthy sleep were not significant. Further research is needed to understand the complex relationship between mental health and sleep among people with a cancer history. Support (if any) K01HL135452, K07AG052685, R01AG072644, R01HL152453, R01MD007716, R01HL142066, R01AG067523, R01AG056031, and R01AG075007.
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