Exercise and Rehabilitation in People With Ehlers-Danlos Syndrome: A Systematic Review.

Objective: To conduct a systematic review examining the effect of exercise and rehabilitation in people with Ehlers-Danlos syndrome (EDS). Data Sources: The following databases were systematically searched: MEDLINE, MEDLINE In-Process/ePubs, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, and Cumulative Index to Nursing and Allied Health. The final time point captured by the search is November 27, 2020. Study Selection: Eligible study designs included case-control, case-series, prospective cohort, retrospective cohort, and intervention studies of structured exercise or rehabilitation interventions. Eligible populations included adults (18 years or older) with EDS (all subtypes) and hypermobility spectrum disorders. The search was restricted to articles published in English. Data Extraction: Data were extracted by 2 independent reviewers. Risk of bias was assessed using the Physiotherapy Evidence Database (PEDro) scale for randomized controlled trials (RCTs) and Risk Of Bias In Nonrandomized Studies of Interventions (ROBINS-I) for non-RCTs. Reporting quality of RCTs was assessed using the Consolidated Standards for Reporting of Trials statement with the harms extension. Reporting was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Data Synthesis: The search yielded 10 eligible studies including 330 participants. The study designs included 5 RCTs, 1 cohort, 2 single-arm interventions, 1 retrospective, and 1 feasibility study. All studies showed some improvement in a physical and/or psychological outcome after the intervention period. One adverse event (nonserious) potentially related to the intervention was reported. Of the 5 RCTs, 2 were rated as high quality with low risk of bias using PEDro, and the majority of non-RCTs were rated as critical risk of bias by ROBINS-I. Conclusions: The results suggest that exercise and rehabilitation may be beneficial for various physical and psychological outcomes. Adequately powered and rigorous RCTs of exercise and rehabilitation interventions for people with EDS are needed. Crown

Ehlers-Danlos syndrome (EDS) is characterized by the abnormal synthesis and/or function of collagen, fibrillin, and elastin in the body and typically affects the gastrointestinal, cardiovascular, and musculoskeletal systems., The exact prevalence of EDS is unknown, but according to some estimates, EDS affects approximately 1 in 5000 to 1 in 20,000 people worldwide., EDS typically manifests as fragile skin, organ dysfunction, significant diffuse pain, and hypermobility that can lead to recurrent joint dislocations and other injuries.6, 7, 8

The EDS nosology has evolved over the past 30 years (1988 Berlin criteria, 1998 Villefranche nosology, 1998 Brighton criteria, 2017 EDS classification), with the most recent system comprising 13 EDS subtypes. Of these subtypes, 12 are usually confirmed by molecular analyses, which provide clarity on inheritance patterns and can guide approaches to management. The 13th subtype, known as hypermobile EDS (hEDS), does not have a known genetic marker, cannot be confirmed by molecular analysis, and is diagnosed by clinical assessment. The diagnostic criteria for most EDS subtypes include joint hypermobility, although people with hEDS may experience more frequent joint subluxations and/or dislocations, debilitating musculoskeletal symptoms,, chronic limb and joint pain,, and occasional dyspnea. Joint hypermobility directly results from deficiencies in the extracellular connective tissue matrix, which leads to increased connective tissue elasticity, pathologic range of motion and, ultimately, recurrent subluxations and/or dislocations, and tendon ruptures., Before the 2017 EDS classification, joint hypermobility syndrome was considered to be synonymous with EDS hypermobility type., However, the updated 2017 EDS classification for the various subtypes proposed a newer category of hypermobility spectrum disorders (HSDs). HSD includes the patients who present with generalized joint hypermobility, not otherwise specified, and do not have a complete phenotype to confirm hEDS as per the 2017 criteria. (For consistency in this article, all references to hEDS or HSD will collectively be referred to as HSD/hEDS).

Grahame and Celletti and colleagues observed that the physical sequelae experienced by people with EDS is, in part, amplified with psychological distress and behavioral responses, such as kinesiophobia, a fear of physical movement and activity that collectively contribute to poor quality of life (QOL) and further impairments. Specifically, Scheper et al reported that the behavioral response of kinesiophobia has been shown to lead to physical deconditioning, which can exacerbate joint laxity, and a continued cycle of weakness, joint instability, worsening pain, and further deconditioning. Given the numerous musculoskeletal symptoms, functional challenges, and resulting physical deconditioning that can be experienced by people with EDS, exercise and rehabilitation have emerged as important components of disease management.

Exercise and rehabilitation for people with EDS have commonly focused on optimizing physical function with improved muscular strength, proprioceptive acuity,,, and postural exercises, such as lumbar spinal stabilization and trunk muscle endurance exercises. While acknowledging exercise and rehabilitation as an important part of EDS care, the evolution of the diagnostic criteria and the diagnostic confusion regarding the type of EDS and inclusion of phenotypically similar but variable conditions has led to exercise and rehabilitation studies that include heterogenous populations. Previous review articles have worked to summarize the evidence related to exercise and rehabilitation interventions for adults with EDS including Palmer, Smith, Corrado and colleagues. While informative, these reviews excluded EDS clinical analogs and the remaining 12 EDS subtypes from their analyses. In an effort to complement these past reviews, the aim of the present systematic review is to provide an updated summary of the evidence related to exercise and rehabilitation for people with EDS, inclusive of all subtypes and clinical analogs, as well as evaluate the methodologic and reporting quality of exercise studies using both critical appraisal tools and reporting guidelines.

Methods

The search followed the Cochrane Handbook and the Cochrane Methodological Expectations of Cochrane Intervention Reviews for conducting the search, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for reporting the search (PRISMA Checklist provided in supplemental table S1, (available online only at http://www.archives-pmr.org/), and the PRESS 2015 guideline for peer-reviewing the search strategies and avoiding potential search errors.

Search strategy

Preliminary searches were conducted, and publications known to meet the inclusion criteria were assessed for potential keywords and appropriate controlled vocabulary terms (such as Medical Subject Headings for Medline and EMTREE descriptors for Embase) (supplemental table S2, available online only at http://www.archives-pmr.org/). Using the Ovid search interface, 6 electronic databases were searched: (1) MEDLINE (1946-), (2) MEDLINE In-Process/ePubs (daily), (3) Embase (1947-), (4) Cochrane Central Register of Controlled Trials (1991-), (5) PsycINFO (1806-), and (6) Cumulative Index to Nursing and Allied Health (EbscoHost, 1982-). All searches were conducted on July 9, 2019, by an information specialist (M.E.) and updated later to include eligible studies up to and including November 27, 2020. Reference lists of all included trials and previous systematic reviews were checked manually for additional relevant publications. Eligibility criteria for the studies included in this review are detailed in table 1.

Table 1

Inclusion and exclusion criteria for studies included in this review

Variable	Inclusion Criteria	Exclusion Criteria
Publication date	Articles before November 27, 2020	Articles after November 27, 2020
Language	English	Not published in English
Participant diagnosis	EDS (all subtypes) as identified by Berlin 1988 nosology,9 Villefranche 1998 nosology,6 Brighton 1998,10 and/or 2017 EDS classification.11Participants diagnosed with generalized joint hypermobility, hypermobility spectrum disorders, and other hEDS clinical analogs.	Inclusion of participants that do not meet any diagnosis found in the Participant diagnosis inclusion criteria.
Participant age	Adults (18 y or older)	Age younger than 18 y
Intervention	Includes structured exercise or rehabilitation interventions.*	Interventions with the purpose of changing behavior (ie, exercise/physical activity engagement) without structured exercise or rehabilitation programming.
Study type	Case-controlProspective cohortRetrospective cohortIntervention studies including• Single-arm intervention studies • Quasi-experimental • Randomized and nonrandomized controlled trials	Review articlesCase reportsAnimal studies

Exercise and rehabilitation interventions are operationally defined as interventions involving regular, structured aerobic, resistance, stability, or balance exercises with the intended purpose of improving physical fitness and/or health outcomes.

Review process

Reference management software was used to manage all citations.a Eligibility screening of each reference title and abstract was conducted by 2 reviewers (S.B-I., N.M.). Full-text articles were retrieved for all potentially eligible studies and reviewed by the same 2 reviewers (S.B-I., N.M.) for a final decision about inclusion or exclusion. Disagreements regarding eligibility of articles at the screening and full-text review stages were resolved by discussion or adjudication of a third reviewer (D.S.M.).

Data extraction

Data from the included trials were extracted by 1 author (S.B-I.) in MS Excel 2010b and cross-checked by a second author (N.M.). Extracted data included citation details, location of study, study design, inclusion criteria, sample size, participant characteristics, description of the exercise intervention, outcome measurements, and findings. The complete list of extracted parameters for each subcategory is available in supplemental table S3 (available online only at http://www.archives-pmr.org/).

Risk of bias assessment

Risk of bias is considered the degree of systematic error in the design, conduct, and analysis contributing to an estimate of effect. It is considered by Cochrane as one of several factors that must be considered when judging study quality (the extent to which one can be confident that an estimate of effect is near the true value for an outcome). Risk of bias of randomized control trials (RCTs) and the degree to which the level of bias influenced study quality were assessed using the Physiotherapy Evidence Database (PEDro) scale, a widely used scale developed to assess exercise and rehabilitation studies. The risk of bias of nonrandomized study designs was assessed using Risk Of Bias In Nonrandomized Studies of Interventions (ROBINS-I), a tool developed for undertaking systematic reviews that include nonrandomized studies. ROBINS-I evaluates risk of bias across 7 domains: confounding, selection of participants into the study, classification of interventions, deviations of intended interventions, missing data, measurement of outcomes, and the selection of reported results. For RCTs and non-RCTs, studies were independently assessed by 2 reviewers (S.B-I., N.M.). For RCTs, reviewers rated each domain as “yes” or “no” to yield a summary score. PEDro has classified the assessment scores as indicators of “poor quality” (PEDro score 3), “fair quality” (PEDro score 4-5), or “high quality” (PEDro score 6-10). For non-RCTs, risk of bias elements were rated as “yes,” “possibly yes,” “no,” “possibly no,” “no information,” or “not applicable.” Non-RCTs were then classified using the ROBINS-I classification as “low,” “moderate,” “serious,” or “critical risk of bias” based on whether the level of bias in domains may have led to material bias in the outcomes of interest. Any disagreements between the reviewers were resolved by discussion and reassessment of the full texts, with arbitration by a third reviewer (D.S.M.) if necessary. Interrater reliability was evaluated using the κ coefficient and percentage agreement across guidelines.

Reporting quality assessment

The reporting quality of RCTs was assessed by the Consolidated Standards for Reporting of Trials (CONSORT) Statement., The CONSORT Statement has been specifically developed for the critical assessment of the quality of evidence provided and the reporting of harms-related issues. The CONSORT Statement checklist comprises 22 items addressing domains such as objectives, trial design, participant flow, data analysis, harms and unintended effects, and interpretation of results. The evaluation was independently completed by 2 reviewers (S.B-I., N.M.). Unlike the PEDro scale, the CONSORT Statement does not result in summary scores and thus serves to reveal thematic results. The quality and harms-related issues of the remaining 5 studies that were not included in the CONSORT evaluation were reviewed and are narratively discussed.

Data synthesis and analysis

Given the heterogeneity of study designs and outcome measures used in the literature, a meta-analysis was not conducted. A descriptive synthesis approach was used with findings presented in both narrative form and in tables relative to the data extracted.

Results

Study selection

The PRISMA diagram is presented in fig 1. The search strategy yielded 2541 records. After removal of duplicates, 1912 citations were screened for eligibility and 11 full-text articles were retrieved. Of these, 2 articles were excluded, and 10 met the inclusion criteria for this review.

Fig 1

PRISMA diagram summarizing evidence search and selection (inclusive of secondary search and thus, 710 studies up to November 27, 2020).

Study characteristics

Table 2 summarizes the characteristics of the included studies. The studies were conducted between 2004 and 2020 and occurred in the UK (N=3),,, Turkey (N=2),, Iran, France, Denmark, Belgium, and Norway. Across the 10 studies, 330 participants were included, all of whom were diagnosed with HSD/hEDS as defined by the 2017 EDS classification, the Brighton 1998, and the Villefranche 1998 diagnostic criteria. The following study designs were used in the included studies: RCTs,22, 23, 24, pilot RCT, cohort study, single-armed intervention trial,, single-armed retrospective study, and single-armed feasibility study. The median sample size was 22 (range, 11-102).

Table 2

Study characteristics

Author/Setting (Country/Hospital)	Type of Study	Sample Size (Per Group) and Participant Mean Age ± SD	Diagnostic Criteria or nosology(± additional inclusion criteria)
Bathen et al42Oslo, Norway	Single-arm, pilot study	N=12Age: median=35, range=20-51 y	Brighton 199810 or Villefranche 19986
Toprak et al24Izmir, Turkey	RCT	IG: n=23Age: 20.3±2.2 yCG: n=23Age: 21.0±2.2 y	Brighton 199810
Daman et al22Shiraz, Iran	RCT	IG: n=12Age: 22.25±1.28 yCG: n=12Age: 21.66±2.0 y	Brighton 199810
Ferrell et al21Glasgow, Scotland	Single-arm, intervention trial	N=20Age: 27.3±10.4 y	Brighton 199810 and knee joint pain
Hakimi et al43Lille, France	Single-arm, retrospective study	N=21Age: 45±13 y	Conducted by EDS specialist, with specific nosology/criteria not provided
Liaghat et al40Odense, Denmark	Single-arm, feasibility study	N=11Age: 39.3±13.9 y	2017 EDS classification11
Palmer et al38London, England	Pilot RCT	IG: n=15Age: 37.2±14.1 yCG: n=14Age: 33.3±9.7 y	Brighton 199810
Reychler et al41Brussels, Belgium	RCT	IG: n=10Age: 45.8±5.5 yCG: n=10Age: 53.1±3.4 y	Brighton 1998,10 2017 EDS classification,11 and reduced inspiratory muscle strength
Sahin et al23Istanbul, Turkey	RCT	IG: n=15Age: 25.60±6.0 yCG: n=25Age: 27.68±7.8 y	Brighton 199810
To and Alexander39London, England	Cohort study	IG: n=47Age: 34.6±10.6 yCG.a: n=26Age: 31.8±10.5 yCG.b: n=29Age: 38.2±9.3 y	Brighton 199810 and interior knee pain

Abbreviations: CG, control group; CG.a, control group with generalized joint hypermobility (ie, joint flexibility without multiple site symptoms experience in those with HSD); CG.b, control group without generalized joint hypermobility; IG, intervention group.

Risk of bias in included studies

The PEDro scale was used to evaluate RCTs for their risk of bias and its contributions to study quality. Across these RCTs, 1 study was rated as poor quality, 2 as fair quality,, and 2 as high quality (table 3).,

Table 3

Risk of bias of RCTs using PEDro scale

Variable	Toprak et al24	Daman et al22	Palmer et al38	Reychler et al41	Sahin et al23
Eligibility criteria were specified	+	+	+	+	+
Participants were randomly allocated to groups	+	+	+	+	+
Allocation was concealed	−	−	+	+	−
The groups were similar at baseline regarding the most important prognostic indicators	+	+	+	+	+
There was blinding of all assessors who measured at least 1 key outcome	+	+	−	+	−
There was blinding of all participants	−	−	−	−	−
There was blinding of all therapists who administered the therapy	−	−	−	−	−
Measures of at least 1 key outcome were obtained from more than 85% of the participants initially allocated to groups	−	−	−	+	−
All participants for whom outcome measures were available received the treatment or control condition as allocated	−	−	+	+	−
The results of between-group statistical comparisons are reported for at least 1 key outcome	+	+	+	+	−
The study provides both point measures and measures of variability for at least 1 key outcome	+	+	+	+	+
Total score	5	5	6	8	3

NOTE. PEDro score: high quality=PEDro score 6-10, fair quality=PEDro score 4-5, poor quality=PEDro score=<5.

Abbreviations: −, low risk of bias; +, high risk of bias.

Thematically, higher risk of bias was commonly attributed to (1) a lack of concealed allocation of participants; (2) a lack of measures of at least 1 key outcome for more than 85% of participants; (3) failure to deliver intervention as allocated; and (4) a lack of blinding of assessors, participants, and therapists. However, the nature of exercise intervention models used by the included studies led to an unavoidable nonblinding of personnel delivering interventions and participants in all 7 studies. The κ coefficient for interrater assessment reliability when using the PEDro scale was interpreted as “good agreement” (κ=0.78).

Among the 5 non-RCTs, 1 was considered to have moderate risk of bias and 4 were at critical risk of bias, (table 4). Higher risk of bias was commonly attributed to (1) bias because of confounding, (2) bias because of deviations from intended interventions, (3) bias because of missing data, and (4) bias in measurement of outcomes. The κ coefficient for interrater assessment reliability was interpreted as “good agreement” (κ=0.79).

Table 4

Risk of bias of nonrandomized studies using ROBINS-I tool

Bias Domain		Bathen et al42	Ferrell et al21	Hakimi et al43	Liaghat et al40	To & Alexander39
Bias because of confounding	1.1	Y	Y	Y	Y	Y
	1.2	NA	NA	Y	NA	N
	1.3	NA	NA	Y	NA	N
	1.4	N	NA	NA	NA	Y
	1.5	NA	NA	NA	NA	N
	1.6	NA	NA	NA	NA	NA
	1.7	NA	NA	N	NA	NA
	1.8	NA	NA	N	NA	NA
	RoBjudgment	Critical	Critical	Critical	Critical	Moderate
Bias in selection of participants into the study	2.1	N	N	N	N	N
	2.2	NA	NA	NA	NA	NA
	2.3	NA	NA	NA	NA	NA
	2.4	Y	PN	Y	Y	Y
	2.5	NA	N	NA	NA	NA
	RoBjudgment	Low	Serious	Low	Low	Low
Bias in classification of interventions	3.1	Y	PY	N	Y	Y
	3.2	Y	Y	NI	y	Y
	3.3	PN	PY	NI	PN	N
	RoBjudgment	Low	Moderate	Serious	Low	Low
Bias because of deviations from intended interventions	4.1	N	NI	NI	N	N
	4.2	NA	NA	NI	NA	NA
	4.3	Y	NI	NI	NI	NA
	4.4	Y	NI	NI	Y	Y
	4.5	PY	NI	NI	PY	N
	4.6	NA	NI	NI	NA	Y
	RoBjudgment	Low	Serious	NI	Moderate	Moderate
Bias because of missing data	5.1	Y	N	N	N	N
	5.2	PN	Y	Y	N	N
	5.3	PN	N	NI	N	N
	5.4	NA	NA	N	NA	N
	5.5	NA	N	N	Y	Y
	RoBjudgment	Low	Serious	Critical	Moderate	Moderate
Bias in measurement of outcomes	6.1	PY	PY	N	PY	N
	6.2	PY	Y	N	Y	Y
	6.3	Y	PY	Y	Y	Y
	6.4	PN	PN	N	PN	N
	RoBjudgment	Serious	Serious	Low	Moderate	Moderate
Bias in selection of reported results	7.1	PN	PN	N	N	N
	7.2	PN	PN	N	N	N
	7.3	N	N	N	N	N
	RoBjudgment	Low	Low	Low	Low	Low
Overall bias: low/moderate/serious/critical/NI		Critical	Critical	Critical	Critical	Moderate

Abbreviations: N, no; NA, not applicable; NI, no information; PN, probably no; PY, probably yes; RoB; risk of bias; Y, yes.

Reporting quality of included studies

Only 1 of the 5 studies evaluated using the CONSORT Statement met over 50% of the items (table 5). Adherence to key methodological items of the CONSORT Statement was as follows: 3 of 5 studies described sample size determination methodology;,, all 5 provided data for patient baseline characteristics;22, 23, 24,, 4 of 5 adhered to random sequence generation;,,, 1 of 5 for allocation concealment; 3 of 5 for blinding of patients, care providers, or assessors;,, 3 of 5 for reporting of adverse effects;22, 23, 24 4 of 5 for providing a balanced discussion of benefits and harms;,,, and 2 of 5 for describing the generalizability of their results., Overall, the 5 studies demonstrated a compromise in reporting quality through the absence of a method to implement random allocation sequence and the absence of blinding of patients, care providers, and assessors. In contrast, all 5 studies provided the method of allocation in the abstract, sufficient scientific background in the introduction, eligibility criteria for participants, details of interventions, specific objectives, baseline demographics, and clinical characteristics of each group.

Table 5

Reporting quality assessment of included RCTs using the CONSORT statement and harms-assessment extension

Variable	Toprak et al24	Daman et al22	Palmer et al38	Reychler et al41	Sahin et al23
Title and abstract*	+	+	−	+	+
Background*	+	+	+	+	+
Participants	+	+	+	+	+
Interventions	+	+	+	+	+
Objectives	+	+	+	+	+
Outcomes*	+	−	−	−	−
Sample size	+	+	+	−	−
Randomization: sequence generation	+	+	+	+	−
Randomization: allocation concealment	−	−	−	+	−
Randomization: implementation	+	−	−	−	−
Blinding (masking)	+	+	−	+	−
Statistical methods*	−	−	+	−	−
Participant flow*	+	−	+	+	−
Recruitment	+	−	+	+	−
Baseline data	+	+	+	+	+
Nos. analyzed*	+	−	+	+	−
Outcomes and estimation*	+	−	+	−	−
Ancillary analysis*	−	−	−	−	−
Adverse events*	+	+	−	−	+
Interpretation*	+	+	+	+	−
Generalizability*	+	−	−	+	−
Overall evidence*	+	−	+	−	−

Abbreviations: −, does not meet requirements; +, meets requirements.

Assessment based on CONSORT statement and harm-extension.

Study findings

Physical and functional health

All studies included at least 1 parameter of physical and functional health as a main study outcome (table 6). The 4 studies,40, 41, 42 that investigated muscle strength demonstrated benefits associated with exercise. Ferrell et al measured peak and average leg strength using an isokinetic leg dynamometer before and after 8 weeks of progressive closed kinetic chain exercises performed 3 × /wk. They found an increase in the median peak and average torque for the quadriceps and hamstrings (quadriceps: peak=+3Nm, P=.038; average=+14Nm, P<.001; hamstring: peak=+13Nm, P=.002; average=+5Nm, P=.007). However, given that this study is considered to have critical risk of bias, in part because of confounding and missing data (see table 4), these findings are particularly vulnerable to overestimation. In an RCT of 20 participants, Reychler et al measured maximal sniff nasal inspiratory pressure and observed an increase in inspiratory muscle strength after 6 weeks of inspiratory muscle exercise (using a threshold inspiratory muscle trainer 5 × /wk) compared with the controls (+16cm H2O±3, P<.001). Liaghat et al measured shoulder strength using a dynamometer before and after 16 weeks of a heavy shoulder strengthening exercise programme targeting scapular and rotator cuff muscles. They found an increase in the median shoulder strength after 16 weeks compared with baseline for scaption in 45°, internal rotation, and external rotation (scaption: +0.51Nm/kg; 95% CI, 0.23-0.78; internal rotation: +1.32Nm/kg; 95% CI, 0.70-1.95; external rotation: +0.89Nm/kg; 95% CI, 0.37-1.40). While the findings described by Liaghat are statistically significant, this study is vulnerable to a critical risk of bias because of possible confounding (see table 4), which may have influenced the relationship seen between their exercise program and muscle strength. Bathen et al measured lower extremity muscle strength using the stair-walking-up-and-down test and up-on-toes test. After 2.5 weeks of inpatient and 3 months of at-home multidisciplinary rehabilitation programming combining physical and cognitive behavioral therapy, they found an increase in lower extremity muscle strength (stair-walking-up: −0.13 seconds, P=.004; up-on-toes: +4.50 seconds, P=.004) compared with baseline. Similar to the studies of Ferrell and Liaghat and colleagues, the study of Bathen et al is considered to have a critical risk of bias because of possible confounding (table 4) and is vulnerable to influence of extraneous variables on the dependent variables and a weakened relationship between the exercise intervention and muscle strength.

Table 6

Interventions, efficacy, and risk of bias score (as determine by way of PEDro assessment) or risk of bias judgment (as determined by way of ROBINS-I) for clinical exercise and rehabilitation interventions of included studies

Author	Form of Exercise Intervention	Outcome Measures	P Value or Δ Mean (95% CI)	PEDro Score	ROBINS-I Judgment
Bathen et al42	2.5 wk inpatient and 8 wk 5 × /wk multidisciplinary rehabilitation program combining physical therapy (ie, strength training, aquatic exercise, endurance training, pain management) and cognitive behavioral therapy (ie, focusing on functioning with a diagnosis, increased awareness of the importance of prioritizing activity, and living with pain).	COPM performanceCOPM satisfactionTandem walking backwardsStair walking upStair walking downUp on toesTSK-13NPRS	.008.005.006.004.065.045.022.213	NA	Critical
Toprak et al24	IG: 8 wk, 3 × /wk, lumbar spinal stabilization exercise programCG: no lumbar spinal stabilization exercise program	VAS (pain intensity)SMEO stability indexSMEC stability indexDMEO stability indexDMEC stability indexFLEXEXTLATrLATl	.022.884.447.036.070<.001.003.001<.001	7	NA
Daman et al22	IG: 4 wk, 3d/wk, received combined exercise therapy of closed kinetic chain exercises and proprioception exercisesCG: no combined exercise therapy	Goniometer, angle error (weight-bearing)Goniometer, angle error (nonweight-bearing)VAS (pain intensity)SF-36 (physical functioning)SF-36 (mental health)	.030.009<.001<.010.420	8	NA
Ferrell et al21	8 wk, 3 × /wk, progressiveclosed kinetic chain exercises	Threshold angleBalance boardIsokinetic dynamometer (average strength, quadricep)Isokinetic dynamometer (peak strength, quadricep)Isokinetic dynamometer (average strength, hamstring)Isokinetic dynamometer (peak strength, hamstring)VAS (musculoskeletal pain)SF-36 (physical functioning)SF-36 (mental health)	<.001<.001<.001.030.007.002.003.029.008	NA	Critical
Hakimi et al43	4 wk, 2 × /wk, multidisciplinary rehabilitation program (ie, balneotherapy, ergometer exercises, occupational therapy, physical activity, physiotherapy, walking, proprioception exercises, sophrology, yoga exercises) and therapeutic patient education workshops led by several professionals (ie, dieticians, physiotherapists, doctors, psychologists)Rest 1 wk. Followed by 4 wk 3 × /wk continuation of program and workshops	6MWTTSKMFI-20 (general)MFI-20 (physical)MFI-20 (mental)MFI-20 (reduced activity)MFI-20 (reduced motivation)BPI (pain at its least)BPI (pain at its worst)BPI (pain on the average)BPI (pain right now)BPI (pain interference)SF-36 (physical functioning)SF-36 (mental health)	.001.033NS (not available)NS (not available)NS (not available).010NS (not available)NS (not available).230NS (not available)NS (not available)NS (not available)NS (not available).022	NA	Critical
Liaghat et al40	16 wk 3 × /wk heavy shoulder strengthening exercise program targeting scapular and rotator cuff muscles	Shoulder stabilityAverage pain intensityWOSI total scoreNPRS (lowest in past 7 d)NPRS (highest in past 7 d)NPRS (average in past 7 d)CIS, fatigue subscaleCOOP/WONCATSKGlobal perceived effectEQ-5D-3L (index score)EQ-5D-3L (EQ-VAS)Internal rotation passiveInternal rotation activeExternal rotation passiveExternal rotation activeIsometric scaptionIsometric internal rotationIsometric external rotationIsometric external/internal rotation ratioAngle error (low range)Angle error (midrange)Angle error (high range)	−528 (−738 to −318)−2.4 (−3.7 to −1.2)−538 (−738 to −318)−0.9 (−1.7 to −0.2)−2.5 (−3.8 to −1.2)−2.4 (−3.7 to −1.2)−9 (−16 to −2)−1.2 (−4.5 to 2.1)−3.3 (−5.7 to −0.8)Not available0.01 (−0.08 to 0.09)7 (−7 to 21)−8.9 (−18.8 to 0.9)−3.5 (−12.4 to 5.3)−0.1 (−13.3 to 13.2)1.9 (−9.3 to 13.1)0.51 (0.23 to 0.78)1.32 (0.70 to 1.95)0.89 (0.37 to 1.40)−0.02 (−0.10 to 0.05)−1.2 (−2.4 to 0.0)−0.9 (−2.2 to 0.3)0.6 (−2.0 to 3.2)	NA	Critical
Palmer et al38	IG: 1 × advice intervention session with physiotherapist supplemented by advice booklets and 4-mo composed of 6 physiotherapy sessionsCG: 1 × advice intervention session with physiotherapist supplemented by advice booklets	MDHAQ (function)MDHAQ (pain)MDHAQ (global)MDHAQ (RADAI)MDHAQ (fatigue)BRAF (average fatigue)BRAF (effect of fatigue)BRAF (coping with fatigue)VAS (most affected joints at rest)VAS (most affected joints on movement)VAS (all joints at rest)VAS (all joints on movement)18-item Exercise Self-efficacy	0.52 (−0.69 to 1.74)−0.81 (−4.47 to 2.85)−0.78 (−4.54 to 2.97) 3.01 (−3.83 to 9.84)−0.04 (−4.15 to 4.07)−0.65 (−4.31 to 3.01)−1.68 (−6.61 to 3.26)−2.49 (−5.84 to 0.86)5.90 (−30.88 to 42.68)6.64 (−29.98 to 43.26)−18.37 (−51.57 to 14.84)−14.34 (−49.21 to 20.52)7.03 (−18.59 to 32.65)	5	NA
Reychler et al41	IG: 6 wk 5 × /wk unsupervised sessions of inspiratory muscle trainingCG: no inspiratory muscle training	SNIPForced expiratory vital capacityForced expiratory volume in 1 s6MWTHADS-AnxietyHADS-Depression	<.001.237.009.003.830.408	7	NA
Sahin et al23	IG: 8 wk 3 × /wk proprioceptive exercise programCG: no proprioceptive exercise program	Isokinetic dynamometer, angle error (right extremity)Isokinetic dynamometer, angle error (left extremity)VAS (during movement)VAS (resting)AIMS-2 (physical)AIMS-2 (emotional)AIMS-2 (symptoms)AIMS-2 (social)AIMS-2 (occupational)	.001.001.010.027.358.596.206.917.006	6	NA
To and Alexander39	IG: 16 wk 3 × /wk individualized leg exercisesCG.a & CG.b: 16 wk 3 × /wk individualized leg exercises	VASHAPLysholm scaleConcentric torqueEccentric torque	<.010<.010<.010.310.150	NA	Moderate

Abbreviations: BPI, Brief Pain Inventory; BRAF, Bristol Rheumatoid Arthritis Fatigue; CG, control group; CG.a, control group with generalized joint hypermobility (ie, joint flexibility without multiple site symptoms experience in those with HSD); CG.b, control group without generalized joint hypermobility; CIS, Checklist of Individual Strength; COOP, Dartmouth Primary Care Cooperative Research Network; COPM, Canadian Occupational Performance Measure; DMEC, dynamic mode eyes closed; DMEO, dynamic mode eyes open; EQ-5D-3L, European Quality of Life 5 Dimensions 3-Level Scale; EQ-VAS, European Quality of Life visual analog scale; EXT, back extensor musculature; FLEX, trunk flexor musculature; HAP, Human Activity Profile; IG, intervention group; LATl, left lateral trunk musculature; LATr, right lateral trunk musculature; MDHAQ, Multidimensional Health Assessment Questionnaire; MFI, Multidimensional Fatigue Inventory; NA, not applicable; NPRS, Numerical Pain Rating Scale; NS, not significant; RADAI, Rheumatoid Arthritis Disease Activity Index; SMEC, static mode eyes closed; SMEO, static mode eyes open; SNIP, Sniff nasal inspiratory pressure; TSK-13, 13-item Tampa Scale of Kinesiophobia; WONCA, World Organization of National Colleges Academies and Academic Associations of General Practitioners/Family Physicians; WOSI, Western Ontario Shoulder Instability Index.

Three of the 4 studies that investigated the effect of exercise on proprioception acuity found significant improvements.21, 22, 23, The study by Ferrell et al, described above, found improved posttest performance in proprioceptive acuity measured using a threshold detection angle error, which required the participant to detect the direction of displacement of the knee joint (−0.28°±0.03, P<.001). While the study by Ferrell shows significant changes in proprioceptive acuity, again these findings should be interpreted with caution because of the aforementioned risk of bias in the study. In an RCT of 8 weeks of kinesthesia (awareness of the position and movement of limbs) and balance exercises 3 × /wk vs no intervention, Sahin et al tested knee proprioception using an isokinetic dynamometer and measured the absolute angle error values for reproducing predetermined knee angles. They found that only the intervention group improved proprioceptive acuity (right knee: −0.09°±0.08, P<.001; left knee: −0.79±0.05, P=.001). Sahin shows significant improvement in proprioceptive acuity; however, this study demonstrated a compromise in study quality and high risk of bias because of limitations in allocation, outcome measurements, and between-group comparisons (see tables 3 and 5), making it vulnerable to confounding and weakened statistical power. In agreement, Daman et al observed greater knee joint proprioception using a goniometer to measure angle error under weight-bearing and nonweight-bearing conditions after 4 weeks of closed kinetic chain exercises 3 × /wk compared with the controls (weight-bearing: −3.01°±2.42, P=.030; nonweight-bearing: −1.89°±1.51, P=.009). The nonrandomized study by Liaghat et al, described above, did not find significant postprogram improvements in proprioception acuity at low range (considered 55°±10°), midrange (90°±10°), or high range (125°±10°), measured using a digital inclinometer. However, the findings of Liaghat should again be cautiously interpreted because of a critical risk of bias.

Additional markers of physical health including balance, functional exercise capacity, joint function, stability, and endurance were investigated across 3 RCTs.,, Reychler et al reported greater functional exercise capacity measured using the 6-minute walk test (6MWT) and greater pulmonary function using a spirometer after 6 weeks of inspiratory muscle exercise 5 × /wk compared with the controls (6MWT=+56m±52, P=.003; forced expiratory volume in 1 second=11.3±0.8, P=.009). Sahin et al observed an improvement in knee joint function using the Arthritis Impact Measurement Scales-2 (AIMS-2) occupational activity in only the exercise group after 8 weeks of kinesthesia and balance exercises 3 × /wk compared with baseline (−1.12±1.29, P<.01), but there were no significant differences found in other AIMS-2 subscales (P>.05) Again, given the poor methodological quality and high risk of bias of this study, cautious interpretation of these findings is recommended. Toprak Celenay and Ozer Kaya observed improvements in the median dynamic postural stability, measured using the Biodex Balance System SD,c and the median trunk muscle endurance, measured using McGill's trunk muscle endurance tests, after 8 weeks of spinal stabilization 3 × /wk compared with the controls (postural stability: dynamic mode eyes open, P=.036; muscle endurance: trunk flexor musculature, P<.001; back extensor musculature, P=.003; right lateral trunk musculature, P=.001; left lateral trunk musculature, P<.001).

In addition, 4 nonrandomized studies investigated markers of physical health., Similar to the findings of Reychler et al, Hakimi et al reported greater functional exercise capacity using the 6MWT after the completion of a rehabilitation program of 4 weeks at 2 × /wk and a subsequent 4 weeks at 3 × /wk. Improvements were seen at the 6-week follow-up time point compared with baseline (+52.4m, P<.001). Hakimi also recorded the effects of their rehabilitation program on fatigue measured using Multidimensional Fatigue Inventory, which assesses fatigue in 5 dimensions: general fatigue, physical fatigue, mental fatigue, reduced activity, and reduced motivation. Here, there was significant improvement in only the Multidimensional Fatigue Inventory reduced activity subscale at the end of the 8-week program compared with baseline (−2.8, P=.01), which was not maintained at the 6-week follow-up. While these findings are significant, the study conducted by Hakimil is considered to have a critical risk of bias because of possible confounding and missing data (see table 4), which may reduce the statistical power of these results. Liaghat et al also found improvement in fatigue measured using the Checklist of Individual Strength subscale fatigue after a 16-week heavy shoulder strengthening exercise program 3 × /wk compared with baseline (−9; 95% CI, −16 to −2). Similar to the findings of improved postural stability found in the RCT by Toprak Celenay and Ozer Kaya, Liaghat reported a 51% improvement in the mean change of shoulder stability after the abovementioned program measured using the Western Ontario Stability Index compared with baseline (total score=−528; 95% CI, −738 to −318; physical symptoms=−245; 95% CI, − 337 to −152; sports/recreation/work=−117; 95% CI, − 172 to −61; lifestyle=−67; 95% CI, −113 to −22; emotions=−100; 95% CI, −159 to −40). Liaghat also measured functional health, range of motion, and joint mobility after the 16-week heavy shoulder strengthening program but found no significant change in functional health or range of motion compared with baseline. Statistics indicating change in joint mobility were not available. Ferrell and Bathen and colleagues assessed balance as an outcome. Ferrell assessed balance using an instrumented balance board to assess the individual's percentage of time spent out of balance (outside 8° of the horizontal plane). They found improved posttest performance after their 8 weeks of progressive closed kinetic chain exercise intervention (−4.5%±0.9, P=.008). After the previously described multidisciplinary rehabilitation program, Bathen reported an improvement in dynamic balance using the tandem-walking-backward test compared with baseline (−9.05 seconds, P=.006). While the findings described by Liaghat, Ferrell, and Bathen and colleagues are statistically significant, these studies are considered to have a high risk of bias because of confounding and are therefore vulnerable to influence of extraneous variables on the dependent variables.

Bathen was the only study to investigate activities of daily living and reported an improvement in performance of and satisfaction in performance of activities of daily living compared with baseline (performance: +2.13, P=.008; satisfaction in performance: +2.15, P=.005). This was measured using the Canadian Occupational Performance Measure after their 14.5-week multidisciplinary rehabilitation program, but again the critical risk of bias in this study should be considered when interpreting these results.

Pain and kinesiophobia

Pain was measured in 7 studies,22, 23, 24,,, and of these, 4 studies found significant improvements in pain outcomes (see table 6).22, 23, 24, Daman et al reported a decrease in pain intensity using the visual analog scale (VAS) after 4 weeks of closed kinetic chain and proprioception exercises 3 × /wk compared with the controls (−2.78±0.05, P<.001). Sahin et al measured pain intensity, again using VAS, during rest and movement and found improvements in only the exercise group after 8 weeks of proprioceptive exercise 3 × /wk compared with baseline (VAS during rest: −1.87±0.33, P=.027; VAS during movement: −4.04±1.63, P=.01). While the study by Sahin et al shows significant changes in pain intensity, the compromise in study quality and high risk of bias in this study should again be considered when interpreting these findings. Toprak Celenay and Ozer Kaya reported an improvement in pain intensity using the VAS after an 8-week lumbar spinal stabilization exercise program compared with the control group (+1.6, P=.022). In agreement, Liaghat et al measured participants’ lowest, highest, and average shoulder pain during the last 7 days at baseline and after the 16-week shoulder strengthening exercise program using the numeric pain rating scale. It was reported that the lowest, highest, and average pain decreased after the 16-week program compared with baseline (lowest=−0.9; 95% CI, − 1.7 to − 0.2; highest=−2.5; 95% CI, −3.8 to −1.2; average=−2.4; 95% CI, − 3.7 to −1.2). Hakimi et al reported an increase in pain at its worst, as defined by the Brief Pain Inventory 6 weeks after the previously described 8-week rehabilitation program (+0.9, P=.023). Palmer et al measured pain intensity using the Multidimensional Health Assessment Questionnaire after 16 weeks of physiotherapy (involving postural, resistance, and cardiovascular exercises) and 4 (individually spaced) advice therapy sessions (involving information on physical activity and joint protection). No significant changes were found in the physiotherapy and advice group compared with the advice only group.

The effect of exercise and rehabilitation interventions on kinesiophobia were reported in nonrandomized studies (see table 6). Hakimi evaluated kinesiophobia using the Tampa Scale for Kinesiophobia and reported significant improvement in kinesiophobia at the end of the 8-week program compared with baseline (−3.1, P=.033), which was not maintained at the 6-week follow-up. Similarly, Liaghat and Bathen and colleagues found improvements in kinesiophobia measured using the Tampa Scale for Kinesiophobia. After their 16-week shoulder exercise program, Liaghat et al found improvement compared with baseline (−3.3; 95% CI, −5.7 to −0.8). In agreement, Bathen et al reported significant improvement in kinesiophobia at the end of their 14.5-week multidisciplinary rehabilitation program compared with baseline (−4, P=.022).

While the improvements in pain and kinesiophobia reported by Liaghat, Hakimi, and Bathen and colleagues are statistically significant, these findings should again be cautiously interpreted because of a high risk of bias.

Quality of life and psychological health

QOL and psychological well-being were measured in 5 studies and are summarized in table 6.,,, Ferrell et al measured QOL for physical function and mental health using the Short Form-36 (SF-36) questionnaire, finding improvements in the both summary scores after an 8-week program of progressive closed kinetic chain exercises compared with baseline (physical functioning: +9.10, P=.029; mental health: +27.80, P=.008). Daman et al similarly found improvements in the physical function subscale summary score of the SF-36 (+11.94±2.96, P=.010) but no significant change in the mental health subscale summary score. Reychler et al measured anxiety and depression using the Hospital and Anxiety Depression Scale (HADS) and observed no difference between intervention and control participants for either HADS-anxiety or HADS-depression. Liaghat measured QOL using the European Quality of Life 5 Dimensions 3-Level Scale and the European Quality of Life VAS and observed no significant change for either scales between baseline and after a 16-week heavy shoulder strengthening exercise program 3 × /wk. Hakimi et al measured QOL using the SF-36. Significant improvement in QOL was observed at the end of the 8-week rehabilitation program in only the vitality subscale compared with baseline (+14.2, P=.001), which then returned to baseline 6 weeks after the end of intervention. However, the QOL results from Ferrell, Liaghat et al, and Hakimi and colleagues should again be cautiously interpreted because of a high risk of bias.

Safety

In only 1 of the 10 studies was an adverse event reported to be potentially associated with study participation (<1% of all intervention participants). In the study by Reychler et al, a single participant reported thoracic pain and withdrew from the study after 3 weeks of participation. Palmer et al also reported adverse events (such as back pain and Achilles pain) yet found difficulty in attempting attribution of adverse events in the intervention group to the physiotherapy treatment given. This was because of the participants’ ongoing experiences with adverse events outside of the trial and because there was no baseline assessment of adverse events against which to compare adverse events during the trial. Overall, Palmer found the adverse event rate to be lower in the physiotherapy and advice group than in the advice only group, although attribution could not be firmly established.

Discussion

This systematic review highlights the potential value of exercise and rehabilitation for people with EDS; however, it has also shown the dearth of RCTs in this field and a high risk of bias across the retrieved randomized and nonrandomized trials. While our findings show statistical significance in the potential benefits to physical and psychological well-being, there is a need for reduced risk of bias in future studies to confirm or refute these findings. Accordingly, interpretation of our findings should be made with caution. Thorough clinical reasoning, consultation, and routine examination of the literature is recommended when providing such care for those with EDS. Despite these cautions, these studies suggest that exercise and rehabilitation appear to be feasible and safe and that the rate of evidence has grown in recent years, contributing to continued clarity and specificity of the findings.

Our results suggest that exercise and rehabilitation can help to achieve benefits earlier than 6 weeks as previously described., Although exercise interventions were observed to be effective in the relative short-term, To and Alexander observed that the relationship between the length of the intervention and strength gains for individuals with HSD/hEDS were linear, suggesting that interventions continuing over a longer period of time will effect greater change in strength. Therefore, to optimize therapeutic outcomes, future programs should consider the incorporation of education and strategies to further enhance long-term maintenance of exercise and rehabilitation engagement. In agreement, Hakimi et al reported that apart from functional exercise capacity, many physical improvements gained during the intervention period seemed to return to baseline when assessed at a 6-week follow up, highlighting again the importance of emphasizing health behavior change and program maintenance plans. Fortunately, Liaghat et al demonstrated that the recommended long-term participation in an exercise program is feasible for people with EDS. Here, participants completed a 3-month shoulder strengthening exercise program and participant retention and adherence were reported to be 100% and 83%, respectively. The high retention and adherence rates were attributed to the high number of sessions supervised by a physiotherapist and the participants reporting their exercises as relevant to reducing their EDS-related symptoms.

The results of the harms assessment among RCTs included in this review indicated a low occurrence of adverse events, where only 1 event was potentially attributable to the intervention and 2 others had undetermined or unlikely links to the intervention. In those studies that did not meet the study design criteria for assessment using the CONSORT harms assessment, there were no reports of adverse events during the intervention time frame., Accordingly, the adverse event rate associated with exercise and rehabilitation among people with EDS is conservatively estimated at <1% of the participants; however, more studies are needed to confirm and add precision to this estimate.

An important limitation of the current evidence is the limited number of studies that capture joint subluxation and/or dislocation and functional capacity outcomes. Joint stability and functional capacity have each only been examined by a single study., Although the results are limited in their breadth, these studies have shown exercise interventions that target stabilizing muscles surrounding hypermobile joints can enhance joint support throughout movement,, and generalized exercise interventions that addresses cardiorespiratory aspects of movement can reduce general deconditioning., Given the known high rates of subluxations and/or dislocations in people with EDS (72% prevalence), the prevalence of comorbid cardiovascular autonomic dysfunction, and the known limitations in functional capacity, these outcomes should be prioritized in future research. Further, these conditions indicate a need for interventions composed of comprehensive exercise tailored to those living with EDS. Persons living with EDS may also have comorbid orthostatic intolerance, fatigue, chronic pain, anxiety and depression, proprioceptive disturbances, dyspnea, gastrointestinal symptoms, urogenital complications, cognitive dysfunction, autoimmune dysfunction, and cardiovascular symptoms.,,63, 64, 65, 66, 67 The severity of these comorbidities can range from mild to severely disabling, with grave effect on exercise and rehabilitation engagement levels., Given the complex nature of EDS-related symptoms, Bathen et al demonstrated the influence of a multidisciplinary approach to exercise therapy with a range of intervention components including cognitive behavioral therapy, energy conservation techniques, joint protection education, nutrition, and pain coping strategies. Here, all participants adhered to the full intervention, no harms were reported, and significant changes were found in both physical health (increased muscle strength and endurance) and metal health domains (improved perceived performance of daily activities, increased participation in daily life, and reduction in kinesiophobia). These results suggest benefits of a multidisciplinary approach in the treatment of EDS, specifically, the consideration of cognitive and psychological influences on exercise and rehabilitation effects for patients with EDS. The support for a multidisciplinary approach can been seen throughout additional studies70, 71, 72 as well as in practice at the GoodHope EDS Clinic at the Toronto General Hospital, providing the first 1-stop interdisciplinary model of health care delivery for EDS. Together, emerging research and multidisciplinary program delivery may help to inform future screening, risk assessment, and intervention design and delivery in EDS.

Although the study methodology remains modest, improvements in study rigor are noteworthy. Since 2016, more RCTs (vs nonrandomized controlled trials and other quasi-experimental and observational studies) have been conducted and assessor blinding has become more prevalent. The use of randomization and blinding helps to reduce bias and provides increasingly rigorous tools to examine potential cause-effect relationships between exercise and rehabilitation interventions and measured outcomes. All 10 studies included in this review were published after 2004 and originate from 7 different countries, indicating both recent growth and international efforts toward growing the body of evidence in this domain.

Study limitations

There are several limitations that justify cautious interpretation of this study. First, although we sought to capture the effect of exercise and rehabilitation interventions on all EDS subtypes, only those with joint hypermobility syndrome, EDS hypermobility type, and hEDS (and the clinical analog HSD) met the inclusion criteria. The findings of this review are therefore limited to what is now referred to as hEDS and cannot be generalized to the remaining 12 EDS subtypes. These subtypes can be complicated by comorbid presentations that can lead to injury or death (such as mast cell activation disorders, fibromyalgia, and osteopenia) and thus can affect participation in exercise interventions. Recognizing that the exercise and rehabilitation interventions used in these studies might not be feasible depending on patients’ EDS subtype, comorbid conditions, or functional health, we recommend that future studies examine interventions involving various intensities, durations, frequencies, and modifications. Second, we were unable to separately categorize and measure the effects of interventions in patients with HSD vs hEDS because of recent change of nomenclature and diagnostic criteria. Although synonymous for the purpose of this review, individuals with hEDS experience symptoms and conditions outside of those associated with HSD (such as postural orthostatic tachycardia syndrome and dyspnea)., Symptom- and condition-specific consideration should therefore be undertaken before starting any exercise intervention. Third, the methodological heterogeneity in the included studies and in particular the variability in intervention design (eg, physiotherapy, inspiratory muscle training, closed kinetic chain exercises, lumbar spinal stabilization exercise) and outcome measures (eg, AIMS-2, HADS, Multidimensional Health Assessment Questionnaire) was not conducive to a meta-analysis. Lastly, the outcome measures used across the included studies have been validated for clinical trials but not specifically for people with EDS. Despite the importance of such validated outcome measures in the population with EDS, there are no condition-specific outcome measurement tools available. Recent systematic reviews have been largely inconclusive and meta-analyses have yet to be completed, partially because of the heterogeneity in outcome measurements. To address this gap, beginning in January 2019 the International Consortium on EDS and HSD has been building Common Data Elements (standardized key terms or concepts) to facilitate data sharing so that data can be compared and combined across research studies and institutions.

Conclusions

The body of evidence on exercise and rehabilitation interventions for people with EDS supports its benefit for various physical and psychological outcomes; however, the scarcity of eligible studies and inconsistency in outcome measures used precludes definitive statements regarding intervention efficacy, feasibility, and safety. At present, exercise and rehabilitation research pertains specifically to those with HSD/hEDS, highlighting an important gap in this literature given the diverse range of physical limitations and symptoms experienced across other EDS subtypes. This review provides a platform on which to further develop research initiatives and evidence in this area. Further high-quality trials with consistent methodological approaches and larger sample sizes that are powered for primary outcomes (in particular, those that address physical function), consider a multidisciplinary intervention design, and include various EDS subgroups are needed to evaluate the effect of exercise and rehabilitation for people with EDS.

Suppliers

a. Covidence; Veritas Health Innovation, Melbourne, Australia. b. MS Excel 2010; Microsoft Corporation, Redmond, WA. c. Biodex Balance System SD; Biodex Medical Systems Inc, Shirley, NY.