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Survey of Students' Sleep Related Outcomes and Sleep Management Network for Sleep

The Effects of Combined Music Care With Sleep Management Network on Sleep Quality, Sleep Knowledge, and Sleep Hygiene in Nursing Students

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03627221
Enrollment
83
Registered
2018-08-13
Start date
2018-10-02
Completion date
2021-07-31
Last updated
2020-07-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep Quality

Keywords

social network, nursing students, sleep, music care

Brief summary

Several factors may cause sleep disturbance among nursing students. Sleep and its several influencing factors are both continuous dynamic process. However, research related to sleep and related issue in nursing students in a longitudinal manner is limited worldwide. Thus, the investigators intend to conduct a 3-year research divided into three phases to explore the issue. The first phase will adopt longitudinal panel study design. Nursing students from two schools will be invited to participate in the first year study, which will be about 800 people. The second phase is to classify music appreciated by the students into different music quadrants that may be effective and can be used at the third phase. The third phase is designed to explore the longitudinal effects of a 3-month social network combined with music care program on sleep quality, sleep knowledge, sleep hygiene and daytime sleepiness and fatigue. Students will be randomized into 2 groups: intervention and control groups. Participants in the intervention group will receive a 12-week intervention program. The control group will be no intervention. Growth curve modeling will be employed in this study for longitudinal analyses to identify the sleep predicted by the students' characteristics. This study will enable us to advance knowledge and research about nursing students' longitudinal patterns of sleep and the longitudinal effects of the intervention program on their sleep.

Detailed description

Background: Poor sleep quality affect students' learning achievement. Several factors may cause sleep disturbance among nursing students. Sleep and its several influencing factors are both continuous dynamic process. However, changes in students' sleep patterns and related characteristics over time remain unclear. Therefore, understanding the issue and examining an effective program is important to ameliorate sleep and improve learning. Integrated care program has proved to be a nursing students' health promotion intervention. However, research related to sleep and related issue in nursing students in a longitudinal manner is limited worldwide. Thus, the investigators intend to conduct a 3-year research divided into three phases to explore the issue. Objectives: The first phase will adopt longitudinal panel study design. Nursing students from two schools will be invited to participate in the first year study, which will be about 800 people.The data will be obtained from 4 waves (the interval of each wave will be 2 months) of the longitudinal survey of sleep quality of the nursing students and how the students' characteristics influence sleep. Distinct patterns of sleep over time will help to identify what characteristics of students to target for the researchers and to make evidence-based intervention for them. The second phase is to classify music appreciated by the students that may be effective and can be used at the third phase. The third phase is designed to explore the longitudinal effects of a 3-month social network combined with music care program on sleep quality, sleep knowledge, sleep hygiene and daytime sleepiness and fatigue. 100 students will be randomized into 2 groups: intervention and control groups. Participants in the intervention group will receive a 12-week intervention program. The control group will be no intervention. Data will be collected from both groups at pretests, and at different time points depending on variables after intervention completed. Statistical analysis: Growth curve modeling will be employed in this study for longitudinal analyses to identify the trajectory of sleep predicted by the students' characteristics. Descriptive analyses will be conducted using SPSS 18. Anticipated results and implications: This study will enable us to advance knowledge and research about nursing students' longitudinal patterns of sleep and the longitudinal effects of the intervention program on their sleep. If the longitudinal effects of the intervention program on their sleep are confirmed, the findings will provide evidence for educators and policy makers using evidence-based intervention to ameliorate sleep in nursing students.

Interventions

BEHAVIORALmusic listening and social network

The 12-week combination of music care and social network program consists of three parts: sleep related variables assessment and monitoring, sleep management education and outcome evaluation. Participants in the intervention group will receive weekly online (social network) education and music listening interventions for 12 weeks provided by the PI.

Sponsors

Buddhist Tzu Chi General Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
DOUBLE (Investigator, Outcomes Assessor)

Masking description

A licensed sleep technician, blinded to group assignment, visually analyzed sleep polygraphs by applying standard procedures.

Intervention model description

The intervention is social networking and music listening. The outcome variables are sleep quality, sleep knowledge, and sleep hygiene. The control variables are participants' demographic data.

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

poor sleep quality (PSQI \> 5)

Exclusion criteria

* pregnancy * currently receiving stress management programs

Design outcomes

Primary

MeasureTime frameDescription
sleep quality18 months (intervention will last for 12 weeks)participants' subjective sleep quality will be measured by using the Pittsburgh Sleep Quality Index (PSQI). The PSQI has 19 items, most with a 4-point, Likert-type response scale. The total score of the 19 items is ranged between 0-21. The higher scores (greater than 5) indicate the participants have poorer sleep quality.

Secondary

MeasureTime frameDescription
sleep knowledge18 months (intervention will last for 12 weeks)The investigators developed questionnaire of sleep knowledge is a 10-15 questions regarding sleep-related knowledge. Each item offered three response options: yes, no, or unsure. One point was assigned for a correct response, and zero was assigned for incorrect or unsure responses. The maximum score was 10-15 points. The total score was treated as a global indicator of the levels of the participants' sleep knowledge. A higher score indicated that they were more knowledgeable about sleep.
sleep hygiene18 months (intervention will last for 12 weeks)Sleep Hygiene Index (SHI) will be used to measure participants' practice of sleep hygiene behaviors. The SHI is a 13-item self-report rated on a five-point scale ranging from 0 (never) to 4 (always). Total scores range from 0 to 52, with a higher score representing poorer sleep hygiene.
daytime fatigue18 months (intervention will last for 12 weeks)Daytime fatigue will be measured by using a 7-item scale, Flinders Fatigue Scale. Six items are presented in Likert format, with responses ranging from 0 (not at all) to 4 (extremely). Item 5 measures the time of day when fatigue is experienced and uses a multiple-item checklist. Total fatigue is calculated as the sum of all individual items. Total fatigue scores range from 0 to 31, with higher scores indicating greater fatigue.
daytime sleepiness18 months (intervention will last for 12 weeks)The Epworth Sleepiness Scale (ESS), a self-report 8-item questionnaire will be used to measure daytime sleepiness. The ESS is a four-point rating scale. Response categories range from 0 = would never doze, 1 = slight chance of dozing, 2 = moderate chance of dozing, 3 = high chance of dozing. Ratings are added over the eight items for a total score. The range of possible scores is from 0 to 24 points.

Countries

Taiwan

Contacts

Primary ContactHui-Ling Lai, PhD
snowjade@mail.tcu.edu.tw011-886-970332631

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026