Physical Deconditioning in COVID-19 Positive Patients and Non-Specific Low Back Pain (Phydel)

November 5, 2022 updated by: Stephane Genevay, University Hospital, Geneva

Physical Deconditioning and Non-Specific Low Back Pain: the PHYDEL Study. A Prospective Study in a COVID-19 Positive Cohort

The purpose of this study is to take advantage of cohorts of patients followed for Coronavirus Disease 2019 (COVID19) expected to present poor physical fitness as the consequence of COVID19 to explore the relationship between physical fitness and low back pain (LBP). Level of physical fitness will be measured at baseline and incidence and intensity of LBP will be recoreded over 1 year.

Study Overview

Status

Terminated

Detailed Description

Non-specific low back pain (LBP) is the worldwide number one cause for disease related years lived with disability. It is frequently assumed that a low physical fitness is a major risk factor for acute LBP as well as a factor for chronic LBP. However only few prospective observational study have been conducted.

The purpose of this study is to take advantage of cohorts of patients followed for Coronavirus Disease 2019 (COVID19) expected to present poor physical fitness as the consequence of COVID19 and assessing level of physical fitness and both incidence and intensity of LBP over a 1-year period.

The study aims to determine if a poor physical health, as measured by 6 minutes walk test (6MWT) and 30''seconds sit to stand test (30''STS), is a risk factor for LBP occurrence and for chronic LBP Secondary objectives aim to explore the respective weight of physical factors (i.e. physical fitness, BMI, smoking, physical activities) and psychological factors (i.e. depression, anxiety, catastrophism, fear-avoidance) on the occurrence and severity of LBP.

According to the literature, we expect that in the physically healthy population, 15% will developed back pain; whereas in the population in poor physical health the incidence at 1 year will be 30%. If alpha error is set at 0.05 then 236 patients are required to have a 80% chance to confirm our hypothesis. In order to account for drop out, and considering that the risk of drop out is high in this type of non-interventional study 350 persons will be recruited. Note that this amount of persons should yield approximately 70 persons with low back pain, which allow up to 7 independent variable in a logistic or cox regression. This is based on the rule of at least 10 events (low back pain) per variable.

Study Type

Observational

Enrollment (Actual)

350

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Geneva, Switzerland, 1211
        • Geneva University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

People with a positive COVID test during the previous year, living in Geneva Switzerland, who declare their willingness to participate in clinical studies.

Description

Inclusion Criteria:

  • Age > 18 years, <65 years old
  • Confirmed or supected COVID19 test
  • Informed Consent as documented by signature

Exclusion Criteria:

  • Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. of the participant.
  • Previous enrolment into the current study.
  • Any comorbidity which could impact on the physical test (6-minutes walking test), e.g hip or knee osteoarthritis, polyneuropathy, symptomatic coronary heart disease.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
1-year incidence of LBP
Time Frame: 1 year
Influence of baseline physical fitness on the number of participant with at least 1 episode of Low Back Pain
1 year
1-year incidence of chronic LBP
Time Frame: 1 year
Influence of baseline physical fitness on the number of participant with at least 3 months of LBP most of the days
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Severity of LBP according to Pain trajectories
Time Frame: at least 3 months during the last year
Influence of baseline physical fitness on 1 year pain trajectories recorded at the end of the study
at least 3 months during the last year
Severity of LBP according to multiaxial evaluation
Time Frame: 1 year
Influence of baseline physical fitness on Severity measured with COMI, multi-axial PRO specific for LBP
1 year
Severity of LBP according to treatment use
Time Frame: 1 year
Influence of baseline physical fitness on the number of medical and paramedical appointements during the pain period
1 year
Influence of depression on 1-year incidence of LBP
Time Frame: 1 year
Influence of depression as measured with HADS on the incidence of LBP
1 year
Influence of anxiety on 1-year incidence of LBP
Time Frame: 1 year
Influence of anxiety as measured with HADS on the incidence of LBP
1 year
Influence of catastrophism on 1-year incidence of LBP
Time Frame: 1 year
Influence of catastrpphism as measured with PCS on the incidence of LBP
1 year
Influence of fear-avoidance beliefs on 1-year incidence of LBP
Time Frame: 1 year
Influence of fear-avoidance beliefs as measured with FABQ on the incidence of LBP
1 year
Influence of self-efficacy on 1-year incidence of LBP
Time Frame: 1 year
Influence of self-efficacy as measured with PSEQ-2 on the incidence of LBP
1 year
Influence of depression on 1-year incidence of chronic LBP
Time Frame: 1 year
Influence of depression as measured with HADS on the incidence of people with LBP for more than 3 months
1 year
Influence of anxiety on 1-year incidence of chronic LBP
Time Frame: 1 year
Influence of anxiety as measured with HADS on the incidence of people with LBP for more than 3 months
1 year
Influence of catastrophism on 1-year incidence of chronic LBP
Time Frame: 1 year
Influence of catastrophisms measured with PCS on the incidence of people with LBP for more than 3 months
1 year
Influence of fear-avoidance beliefs on 1-year incidence of chronic LBP
Time Frame: 1 year
Influence of fear-avoidance beliefs measured with FABQ on the incidence of people with LBP for more than 3 months
1 year
Influence of self-efficacy on 1-year incidence of chronic LBP
Time Frame: 1 year
Influence of self-efficacy measured with PSEQ-2 on the incidence of people with LBP for more than 3 months
1 year
Influence of depression on severity of LBP accroding to pain trajectories
Time Frame: 1 year
Influence of depression as measured by HADS on 1 year pain trajectories recorded at the end of the study
1 year
Influence of anxiety on severity of LBP accroding to pain trajectories
Time Frame: 1 year
Influence of anxiety as measured by HADS on 1 year pain trajectories recorded at the end of the study
1 year
Influence of catastrophism on severity of LBP accroding to pain trajectories
Time Frame: 1 year
Influence of catastrophism as measured by PCS on 1 year pain trajectories recorded at the end of the study
1 year
Influence of fear-avoidance beliefs on severity of LBP accroding to pain trajectories
Time Frame: 1 year
Influence of fear-avoidance beliefs as measured with FABQ on 1 year pain trajectories recorded at the end of the study
1 year
Influence of self-efficacy on severity of LBP accroding to pain trajectories
Time Frame: 1 year
Influence of self-efficacy as measured with PSEQ-2 on 1 year pain trajectories recorded at the end of the study
1 year
Influence of depression on severity of LBP assessed with a multiaxial tool
Time Frame: 1 year
Influence of depression as measured by HADS on severity as assessed with COMI, multi-axial PRO specific for LBP
1 year
Influence of anxiety on severity of LBP assessed with a multiaxial tool
Time Frame: 1 year
Influence of anxiety as measured by HADS on severity as assessed with COMI, multi-axial PRO specific for LBP
1 year
Influence of catastrophism on severity of LBP assessed with a multiaxial tool
Time Frame: 1 year
Influence of catastrophism as measured by PCS on severity as assessed with COMI, multi-axial PRO specific for LBP
1 year
Influence of fear-avoidance beliefs on severity of LBP assessed with a multiaxial tool
Time Frame: 1 year
Influence of fear-avoidance beliefs as measured by FABQ on severity as assessed with COMI, multi-axial PRO specific for LBP
1 year
Influence of self-efficacy on severity of LBP assessed with a multiaxial tool
Time Frame: 1 year
Influence of self-efficacy as measured by PSEQ-2 on severity as assessed with COMI, multi-axial PRO specific for LBP
1 year
Influence of depression on severity of LBP according to treatment use
Time Frame: 1 year
Influence of depression as measured by HADS on the number of medical and paramedical appointements during the pain period
1 year
Influence of anxiety on severity of LBP according to treatment use
Time Frame: 1 year
Influence of anxiety as measured by HADS on the number of medical and paramedical appointements during the pain period
1 year
Influence of catastrophism on severity of LBP according to treatment use
Time Frame: 1 year
Influence of catastrophism as measured by PCS on the number of medical and paramedical appointements during the pain period
1 year
Influence of fear-avoidance beliefs on severity of LBP according to treatment use
Time Frame: 1 year
Influence of fear-avoidance beliefs measured by FABQ on the number of medical and paramedical appointements during the pain period
1 year
Influence of self-efficacy on severity of LBP according to treatment use
Time Frame: 1 year
Influence of self-efficacy measured by PSEQ-2 on the number of medical and paramedical appointements during the pain period
1 year
Impact of regular physical activity on LBP episode
Time Frame: 1 year
Studing the impact of the intensity of physical activity during the previous month on the length and the intensity (COMI) of LBP episode.
1 year
Impact of regular physical activity on chronicity
Time Frame: 1 year
Studing the impact of the intensity of physical activity during the previous month on the risk of chronicity (3 months of pain most of the day)
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Stephane Genevay, MD, University Hospitals of Geneva

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 5, 2022

Primary Completion (Actual)

November 5, 2022

Study Completion (Actual)

November 5, 2022

Study Registration Dates

First Submitted

July 22, 2021

First Submitted That Met QC Criteria

August 2, 2021

First Posted (Actual)

August 4, 2021

Study Record Updates

Last Update Posted (Actual)

November 9, 2022

Last Update Submitted That Met QC Criteria

November 5, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2020-01994

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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