Observational Study About Sleep Quality and Its Impact on Daily Life of Nursing-home Residents

NCT ID: NCT04592796

Last Updated: 2020-10-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

21 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-12-19

Study Completion Date

2019-12-19

Brief Summary

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Introduction: Poor sleep quality is common in most older adults. Because of the progressive aging of the population in Spain, there are more and more nursing-home and day centers, which give care to older adults. However, the attention focused on some difficulty related to sleep has not been thoroughly investigated. The use of wearable devices, which measure some parameters such as the sleep stages, can help to determine the influence of quality sleep in the health state among nursing-home residents.

Objective: To analyze the sleep quality and its influence on the daily life of nursing-home residents through the use of assessment tools and Xiaomi MiBand 2.

Methods and analysis: This is an observational and analytical study whose objective is the observation and registration of variables of a determined population without the intervention of the researcher and establishing relations between association variables and causality. It is also considered as longitudinal since the follow-up of some of the characteristics of the population will be performed during a period of time. The study is set in a nursing-home in A Coruña (Spain). Xiaomi MiBand 2 will be used to measure biomedical parameters and different assessment tools will be administered to participants for evaluating their sleep quality, cognitive state, and daily functioning.

For the statistical analysis, T-Test and ANOVA analysis will be used to compare the means between variables. Also, a Chi-Square test will be used to study the association of qualitative variables. Finally, a multivariate analysis of logistic regression will be performed to determine the variables associated with the presence of the dichotomous variable of interest.

Detailed Description

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Introduction: In the aging, some disturbance in the health state, as poor sleep quality or a sleep disorder, are likely to appear. The disturbances in sleep stages can influence cognitive state, quality of life, and daily functioning. The progressive aging of the population has led to an increase in resources for the direct care of older people, with a 60.9% of increase in recent years in Spain. Yet, the sleep role in the health state and the activities of daily life from older adults in nursing-home and daily centers hasn't been thoroughly researched. On this issue, wearable devices, which were developed in the last years, monitor the sleep stages and the activity that people perform.

Objective: The main objective of this study will be to analyze the sleep quality and its influence on the daily life of nursing-home residents through the use of assessment tools and Xiaomi MiBand 2. Secondary objectives are 1) To know the situation of older people in a nursing-home, recording general data, results of assessment instruments and data obtained from Xiaomi MiBand 2; 2) To explore and determine the quality of life and daily functioning of the participating older people; 3) To determine the level of the cognitive state of the participating older people; 4) To analyze the level of physical activity and the quality of sleep, as well as the factors linked to both constructs, in the older adults who are in a residence; 5) to promote the use of technological devices in the daily life of older adults, especially for the empowerment and management of their health.

Methods and Analysis: It is proposed to carry out an observational and analytical study, whose objective is the observation and registration of variables of a determined population without the intervention of the researcher and establishing relations between association variables and causality. Likewise, this study is considered as longitudinal since the follow-up of the characteristics of this population will be carried out during a period of time (variables will be followed for 1 year). Specifically, the physical activity and the sleep of the participating population will be continuously registered and monitored throughout the entire study. The study will be developed with the resident population in a nursing-home in A Coruña (Spain). To measure biomedical parameters from users, it will be used the Xiaomi MiBand 2. Besides, different assessment tools will be administered to the participants related to self-perception of sleep quality, cognitive state, and daily functioning.

For the statistical analysis, quantitative variables will be expressed as mean and standard deviation, while qualitative variables will be expressed as absolute value and percentage.

To compare means between them, the Student t-test will be used, and for the multiple comparisons of means, the analysis of variance will be used. This design is applied when the data are paired, that is when they come from subjects with variables measured before and after treatment. This test makes it possible to determine whether the differences between the values of both variables are statistically significant or whether they are differences due to chance. To study the association of the qualitative variables, the Chi-square test will be used.

On the other hand, to determine the variables that are associated or not with the presence of the dichotomous variable of interest, a multivariate analysis of logistic regression will be performed, using as a dependent variable the presence or not of the event of interest, and as covariates, the variables that in the bivariate analysis are associated with the presence of said event or are clinically relevant.

Conditions

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Sleep Cognitive Impairment Quality of Life Age Problem Aging

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Nursing-home residents

Older adults in a nursing-home who report a self-perception of poor sleep quality

Xiaomi MiBand2

Intervention Type DEVICE

Recording of sleep and activity data to study their association with age.

Socio-demographic questionnaire

Intervention Type OTHER

Self-made questionnaire to be administered at the beginning of the study with the following personal data: age, gender, marital status, residential environment, mobility aids, educational level, occupation, retirement type, socioeconomic status, medical records, treatment.

EuroQol-5D-5L

Intervention Type OTHER

Quality of life questionnaire to be administered at the beginning and completion of the study with the following information: severity index, social value index for each health condition. Subjective evaluation of health status from 0 to 100.

Mini mental State Examination

Intervention Type OTHER

Questionnaire to be administered at the beginning and completion of the study that measures cognitive impairment.

Tinetti Scale

Intervention Type OTHER

Physical test to be administered at the beginning and completion of the study that measures gait and balance of the participants.

Barthel Index

Intervention Type OTHER

Questionnaire to be administered at the beginning and completion that evaluates the level of independence in basic activities of life.

Pittsburgh Sleep Quality Assessment (PSQI)

Intervention Type OTHER

Questionnaire to be administered whose outcome is the perceived quality, quantity and efficient of sleep. To be given at the beginning and completion of the study.

Interventions

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Xiaomi MiBand2

Recording of sleep and activity data to study their association with age.

Intervention Type DEVICE

Socio-demographic questionnaire

Self-made questionnaire to be administered at the beginning of the study with the following personal data: age, gender, marital status, residential environment, mobility aids, educational level, occupation, retirement type, socioeconomic status, medical records, treatment.

Intervention Type OTHER

EuroQol-5D-5L

Quality of life questionnaire to be administered at the beginning and completion of the study with the following information: severity index, social value index for each health condition. Subjective evaluation of health status from 0 to 100.

Intervention Type OTHER

Mini mental State Examination

Questionnaire to be administered at the beginning and completion of the study that measures cognitive impairment.

Intervention Type OTHER

Tinetti Scale

Physical test to be administered at the beginning and completion of the study that measures gait and balance of the participants.

Intervention Type OTHER

Barthel Index

Questionnaire to be administered at the beginning and completion that evaluates the level of independence in basic activities of life.

Intervention Type OTHER

Pittsburgh Sleep Quality Assessment (PSQI)

Questionnaire to be administered whose outcome is the perceived quality, quantity and efficient of sleep. To be given at the beginning and completion of the study.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* To be at least 65 years old
* To be a resident of the nursing home where the study will be conducted

Exclusion Criteria

* To have serious acute complications in health status that prevent participation in the registration of occupations and mood, as well as, in the rest of the activities destined to the registration of data.
* To be in the final stages of a terminal illness. This criterion mainly excludes those people who have a diagnosis of an irreversible and progressive disease or condition, with a fatal prognosis in the near future or in a relatively short time, which prevents the person from participating in the whole study.
* To be in a situation of request to be transferred to another center.
* To have a temporary stay
* To be in a situation of legal incapacity
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Center on Information and Communication Technologies

OTHER

Sponsor Role collaborator

Universidade da Coruña

OTHER

Sponsor Role lead

Responsible Party

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Javier Pereira

Professor PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Javier Pereira, PhD

Role: PRINCIPAL_INVESTIGATOR

Universidade da Coruña

Locations

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Universidade da Coruña

A Coruña, , Spain

Site Status

Countries

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Spain

References

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Reference Type BACKGROUND
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Reference Type BACKGROUND
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Puri A, Kim B, Nguyen O, Stolee P, Tung J, Lee J. User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study. JMIR Mhealth Uhealth. 2017 Nov 15;5(11):e173. doi: 10.2196/mhealth.8211.

Reference Type BACKGROUND
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Reference Type BACKGROUND
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Reference Type BACKGROUND
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Reference Type BACKGROUND
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Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis. Sleep Med Rev. 2016 Feb;25:52-73. doi: 10.1016/j.smrv.2015.01.009. Epub 2015 Feb 17.

Reference Type BACKGROUND
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Concheiro-Moscoso P, Groba B, Martinez-Martinez FJ, Miranda-Duro MDC, Nieto-Riveiro L, Pousada T, Pereira J. Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home. Digit Health. 2022 Aug 29;8:20552076221121162. doi: 10.1177/20552076221121162. eCollection 2022 Jan-Dec.

Reference Type DERIVED
PMID: 36060611 (View on PubMed)

Related Links

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Other Identifiers

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2018/473

Identifier Type: -

Identifier Source: org_study_id

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