Is There A Relationship Between Daily Step Number And Sleep Quality?

Background:Physical activity level is an important tool to identify individuals predisposed to developing chronic diseases, which represent a major concern worldwide.Objective:To identify correlates of daily step counts measured using pedometers, as well as analyze the associations between health outcomes and 3 different amounts of daily physical activity.Methods:The sample comprised 278 participants (126 men and 153 women) with a mean age of 46.51 ± 9.02 years. Physical activity was assessed using pedometers for 7 consecutive days, and 3 amounts of daily physical activity were considered: ≥10,000 steps/day, ≥7500 steps/day, and <5000 steps/day. Sleep quality was assessed through a questionnaire, and dual-energy x-ray absorptiometry was used to measure body fat. Sociodemographic and anthropometric data were also collected.Results:The percentages of adults achieving at least 10,000 and 7500 steps/day on a minimum of 5 days of the evaluated week were 12.9% and 30.9%, respectively. Adults who reached ≥7500 steps/day had a lower likelihood of being obese (odds ratio [OR] = 0.38, 95% confidence interval [CI], 0.17–0.85) and reporting worse sleep quality (OR = 0.58, 95% CI, 0.34–0.99). Adults who reached <5000 steps/day had a higher likelihood of reporting worse sleep quality (OR = 2.11, 95% CI, 1.17–3.82).Conclusion:Physical activity in adulthood, as measured by pedometer, constituted a behavior related to lower adiposity and better sleep quality.

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Lifestyle Modification Using a Wearable Biometric Ring and Guided Feedback Improve Sleep and Exercise Behaviors: A 12-Month Randomized, Placebo-Controlled Study

Frontiers in Physiology ◽

10.3389/fphys.2021.777874 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jonathan D. Browne ◽

David M. Boland ◽

Jaxon T. Baum ◽

Kayla Ikemiya ◽

Quincy Harris ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Onset ◽

Step Count ◽

Controlled Study ◽

Sleep Onset Latency ◽

Daily Step ◽

Onset Latency ◽

Feedback Group ◽

Daily Step Count ◽

The Impact

Purpose: Wearable biometric monitoring devices (WBMD) show promise as a cutting edge means to improve health and prevent disease through increasing accountability. By regularly providing real-time quantitative data regarding activity, sleep quality, and recovery, users may become more aware of the impact that their lifestyle has on their health. The purpose of this study was to examine the efficacy of a biometric tracking ring on improving sleep quality and increasing physical fitness over a one-year period.Methods: Fifty-six participants received a biometric tracking ring and were placed in one of two groups. One group received a 3-month interactive behavioral modification intervention (INT) that was delivered virtually via a smartphone app with guided text message feedback (GTF). The other received a 3-month non-directive wellness education control (CON). After three months, the INT group was divided into a long-term feedback group (LT-GTF) that continued to receive GTF for another nine months or short-term feedback group (ST-GTF) that stopped receiving GTF. Weight, body composition, and VO2max were assessed at baseline, 3months, and 12months for all participants and additionally at 6 and 9months for the ST-GTF and LT-GTF groups. To establish baseline measurements, sleep and physical activity data were collected daily over a 30-day period. Daily measurements were also conducted throughout the 12-month duration of the study.Results: Over the first 3months, the INT group had significant (p<0.001) improvements in sleep onset latency, daily step count, % time jogging, VO2max, body fat percentage, and heart rate variability (rMSSD HRV) compared to the CON group. Over the next 9months, the LT-GTF group continued to improve significantly (p<0.001) in sleep onset latency, daily step count, % time jogging, VO2max, and rMSSD HRV. The ST-GTF group neither improved nor regressed over the latter 9months except for a small increase in sleep latency.Conclusion: Using a WBMD concomitantly with personalized education, encouragement, and feedback, elicits greater change than using a WBMD alone. Additionally, the improvements achieved from a short duration of personalized coaching are largely maintained with the continued use of a WBMD.

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Music Improves Sleep Quality in Older Adults

Yearbook of Anesthesiology and Pain Management ◽

10.1016/s1073-5437(08)70515-1 ◽

2006 ◽

Vol 2006 ◽

pp. 271

Author(s):

M.F. Roizen

Keyword(s):

Older Adults ◽

Sleep Quality

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Schlafqualität und deren Beziehung zu attentional-exekutiven Funktionsleistungen bei unipolar depressiven Patienten

Zeitschrift für Neuropsychologie ◽

10.1024/1016-264x/a000190 ◽

2016 ◽

Vol 27 (4) ◽

pp. 231-243 ◽

Cited By ~ 1

Author(s):

Bernd Kundermann ◽

Stanislava Fockenberg ◽

Nicole Cabanel ◽

Matthias J. Müller

Keyword(s):

Sleep Quality ◽

Trail Making Test ◽

Trail Making

Zusammenfassung. Die Beziehung zwischen kognitiven Defiziten und Schlafstörungen depressiver Patienten wurde bisher wenig untersucht. Stationär behandelte depressive Patienten beantworteten Fragebögen zur Depressivität und Schlafqualität (Pittsburgh Sleep Quality Inventory, PSQI), gefolgt von neuropsychologischen Untersuchungen zu attentional-exekutiven Funktionsleistungen (Trail Making Test: TMT-A, TMT-B) an Tag 1 (abends) und Tag 2 (morgens). Patienten mit schweren Schlafstörungen (PSQI > 10, n = 8) erbrachten gegenüber Patienten mit maximal moderat ausgeprägten Schlafstörungen (PSQI ≤ 10, n = 8) signifikant geringere Leistungen im Rahmen des TMT-A und TMT-B. Signifikante positive Korrelationen zwischen dem Globalwert des PSQI und der TMT-B-Bearbeitungszeit blieben auch unter statistischer Berücksichtigung von Kovariaten erhalten. Diese Ergebnisse unterstreichen die enge Beziehung zwischen kognitiven Dysfunktionen und Schlafstörungen bei depressiven Patienten. Mögliche therapeutische Implikationen werden diskutiert.

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