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Analyzing the relationship between total sleep time in patients undergoing Orthopedic Rehabilitatio

Recruiting
Conditions
Arthropathies
Registration Number
RBR-72mfkv8
Lead Sponsor
niversidade Estadual de Campinas
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Recruiting
Sex
Not specified
Target Recruitment
Not specified
Inclusion Criteria

Patients of both genders. Adults aged 30 to 59 years. With musculoskeletal injuries (hip and knee). With a Body Mass Index of normal (18.5-24.9 kg/m 2 ) to overweight (24.9- 30kg/m2). Patients who had sleep disorders and/or insomnia. Patients who voluntarily agree to participate in the study and sign an informed consent form. Patients who are able to fulfill study requirements, such as keeping a sleep diary and regularly participating in rehabilitation sessions

Exclusion Criteria

Patients with a history of serious psychiatric disorders such as schizophrenia or bipolar disorder. Patients with severe neurological disorders such as Cerebrovascular Accident (CVA) or spinal cord injury. Patients with serious chronic illnesses such as Chronic Obstructive Pulmonary Disease (COPD) or Congestive Heart Failure (CHF). Patients who are using medications that affect sleep, such as benzodiazepines or antipsychotics. Patients who are pregnant or breastfeeding

Study & Design

Study Type
Observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
The primary outcome of this study is to assess how sleep duration relates to clinical improvement in orthopedic patients during rehabilitation. We will employ statistical analysis to examine this, comparing sleep duration recorded by the actigraph with clinical assessments. The parameters include the average variation in sleep duration before and after rehabilitation, changes in scores from sleep and pain questionnaires, as well as an analysis of sleep patterns throughout the treatment. We anticipate discovering a connection between increased sleep duration and better clinical outcomes. Statistical analysis will determine the significance of these relationships, contributing to our research objectives
Secondary Outcome Measures
NameTimeMethod
o secondary outcomes are expected.
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