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Start Times and Restful Sleep (STaRtS)

2020年7月13日 更新者:Robert L. Owens、University of California, San Diego

STaRtS: Start Times and Restful Sleep

The purpose of this study is to evaluate the efficacy of later school start times in increasing student sleep, and examine the association between later start times and physical activity, screen time, and commute time. Subjects will wear a FitBit activity tracker wristband for two separate 3-month periods (the year before and the year after the Francis Parker High School start time change in the Fall of 2020) and be advised to wear it as much as possible, especially while sleeping or performing physical activity. At the beginning and end of each study period (at 4 occasions), subjects will fill out a few short, non-invasive surveys about their commute, after-school activities, sleepiness, and preferences for morning or evening, and perform the non-invasive psychomotor vigilance test to measure alertness.

調査の概要

状態

引きこもった

詳細な説明

Visit 1: Fall 2019, Enrollment and baseline measurements After obtaining informed consent from the parent and assent from the student, baseline data will be obtained. Visit #1 will take place on campus during free periods, lunch or immediately after school and would not interfere with studies. This will include basic demographic data (age, gender) and a questionnaire asking about their average commute time and type, their afterschool activities, as well as an Epworth Sleepiness scale and validated survey of chronotype (Horne-Ostenberg). Subjects will also undergo a standard 10-minute Psychomotor Vigilance Test (PVT) and be given a FitBit. Investigators will assist them in installing the FitBit app and a screen time app, Moment for on their phones. Including the informational part of this visit, enrollment and questionnaires will take about an hour.

Of note, neither the app nor the FitBit will collect geolocalized data. The app does not track and record content, but only gives us the number of minutes per day the phone is on. There is no cost for the app nor does it use cellular data or wireless connection. The data will be collected during study visits rather than in real time.

At this meeting, subjects will be instructed to wear their FitBits as much as possible, especially while sleeping or during physical activity, and to make sure that the screen time app is working on their phone. The investigators recognize that the students will not likely be able to wear their FitBit at all times, but investigators will ask them to use their devices as much as possible. Periodic email communications will be sent out every other week reminding them to continue wearing their FitBit.

Visit 2: Winter 2019, 12-week time point and FitBit collection. Investigators plan to end the study period on December 19, 2019, the Thursday before students go on winter vacation. Depending on when investigators start the study, this would be about 12 weeks after the beginning of the study period (including a non-school week and a few long weekends). At this visit, investigators will repeat all study procedures from visit 1. Investigators will collect the FitBits, facilitate the export of screen time data and allow them to delete the Moment app on their phones. Subjects will be instructed to look for further communications from us at the beginning of the next year. This visit will likely take about 30 minutes.

Visit 3: Fall 2020, Start time change, FitBit redistribution. Francis Parker will switch to a 45 minute later start time for the 2020-21 school year. On the same week of school as the first visit, investigators will hold a meeting in which subjects will repeat all study procedures as in visit 1 Subjects will be given the same FitBit as subjects used in the last study period. Investigators will supervise them as subjects install the FitBit and Moment app on their phones. This visit will likely take about 30 minutes.

At this meeting, subjects will again be instructed to wear their FitBits as much as possible, especially while sleeping or during physical activity, and to make sure that the screen time app is working on their phone. The Periodic email communications will again be sent out every week reminding them to continue wearing their FitBit.

Visit 4: Winter 2020, 12 week time point, final collection. Again, the study period will end on the Thursday before the students go on winter vacation, about 12 weeks from the beginning of the study period. Subjects will fill out another Epworth Sleepiness scale and undergo a PVT, and undergo a brief survey on their perception of how the start time change has affected their sleep and well-being. Investigators will collect FitBits and instruct subjects to delete the Moment app on their phones.

Data Collection and Analysis Epworth and PVT data will be collected and scored according to the standard guidelines for each battery, and our own surveys will be aggregated and analyzed. Moment data is exported as a CSV file which can be opened with Excel.

The information from the FitBit devices will be obtained via Fitabase (a FitBit partner) , which is a data platform designed to aggregate information from FitBits for research purposes. The FitBit device collects and stores information about an individual's activity; this information is automatically synced (e.g., up to every 10-20 minutes when the smartphone's Bluetooth capability is enabled) with the user's smartphone via the FitBit smartphone application using Bluetooth technology. This data is concurrently transmitted to FitBit servers. For subjects enrolled in research studies, Fitabase collects the information from the FitBit servers in near real time and aggregates the information. Investigators can access this data using a secure login provided by Fitabase. A document with more detail on Fitabase security is included with this application.

研究の種類

観察的

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • California
      • San Diego、California、アメリカ、92093
        • University of California, San Diego
      • San Diego、California、アメリカ、92111
        • Francis Parker High School

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

13年~18年 (子、大人)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

サンプリング方法

確率サンプル

調査対象母集団

40 High school students (freshmen, sophomores, and juniors during the 2019-20 school year) primarily younger than 18 years old, enrolled at Francis Parker High School

説明

Inclusion Criteria:

  • Age 12 or older.
  • Enrolled as a freshman, sophomore, or junior at Francis Parker High School.
  • In possession of a smartphone compatible with the mobile applications used for the study

Exclusion Criteria:

  • Under 13 years old
  • Over 19 years old

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 観測モデル:コホート
  • 時間の展望:見込みのある

コホートと介入

グループ/コホート
介入・治療
Pre Time-change
Daily activity, sleep duration, subjective sleepiness, and response time before change in school start time
Post Time-change
Daily activity, sleep duration, subjective sleepiness, and response time after change in school start time
Francis Parker High School implemented 45-minute later school start time.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Daily Activity
時間枠:6 months
Physical activity levels in the form of step counts from FitBit data over two distinct 3-month periods
6 months
Sleep Duration
時間枠:6 months
Bedtimes and sleep durations using FitBit data over two distinct 3-month periods
6 months

二次結果の測定

結果測定
メジャーの説明
時間枠
Subjective Sleepiness
時間枠:20 minutes

A subjective measure of daytime sleepiness, measured as an Epworth Sleepiness Score using a questionnaire (Epworth Sleepiness Scale) that combines.

The Epworth Sleepiness Scale (ESS) is a self-administered questionnaire with 8 questions. Respondents are asked to rate, on a 4-point scale (0-3), their usual chances of dozing off or falling asleep while engaged in eight different activities. The ESS score (the sum of 8 item scores, 0-3) can range from 0 to 24. The higher the ESS score, the higher that person's average sleep propensity in daily life (ASP), or their 'daytime sleepiness'.

20 minutes
Response Time
時間枠:20 minutes
Reaction times measured in milliseconds using the psychomotor vigilance test.
20 minutes

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • 主任研究者:Robert Owens, MD、UCSD

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (予想される)

2019年9月1日

一次修了 (予想される)

2021年5月1日

研究の完了 (予想される)

2021年12月1日

試験登録日

最初に提出

2019年8月6日

QC基準を満たした最初の提出物

2019年8月6日

最初の投稿 (実際)

2019年8月8日

学習記録の更新

投稿された最後の更新 (実際)

2020年7月15日

QC基準を満たした最後の更新が送信されました

2020年7月13日

最終確認日

2020年7月1日

詳しくは

本研究に関する用語

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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