ClinicalTrials.gg
RecruitingNCT07878299Updated Oct 16, 2026

Comparison of Segmental Body Composition Characteristics in Lipedema and Obesity

An observational study in Lipedema, Obesity and Body Mass Index, sponsored by Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey. Recruiting at 1 site in Turkey (Türkiye). Open to female participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-16.

Sponsored by Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey · Observational

From the registry’s dates

  • Started Sep 2026; still recruiting 1 month later.
Updated Oct 16, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
200
Ages
18 Years to 65 Years
Sex
Female
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Study summary

The aim of this study is to compare the total and regional body composition characteristics of women with lipedema and women without lipedema who are matched for age and body mass index, as determined by the TANITA MC-580 segmental bioelectrical impedance analysis (BIA) device. In addition to total fat mass and fat percentage, fat mass, fat-free mass, and muscle mass measurements of the right and left legs, right and left arms, and trunk are planned to be evaluated. From these measurements, regional distribution indicators such as the proportion of lower extremity fat mass within total body fat, the leg-to-trunk fat ratio, the leg-to-arm fat ratio, and the leg muscle-to-fat ratio will be calculated. In addition, the study aims to examine the relationships between segmental body composition characteristics and disease type and stage, disease duration, pain severity, and lower extremity function in the lipedema group.

Hypothesis: The proportion of total body fat located in the lower extremities is significantly higher in women with lipedema compared to women without lipedema matched for age and body mass index.

Read the detailed description

This cross-sectional observational study aims to evaluate body composition characteristics in women with lipedema and examine their associations with clinical symptoms and functional status. Body composition will be assessed using bioelectrical impedance analysis, including body fat percentage, muscle mass, total body water, visceral fat level, and segmental body composition parameters. Anthropometric measurements and lipedema-related clinical characteristics will also be recorded. Pain severity, lower-extremity function, and health-related quality of life will be evaluated using validated patient-reported outcome measures. The findings obtained from this study are not intended to establish the diagnosis of lipedema based solely on BIA measurement; rather, they are expected to contribute to the identification of objective and measurable body composition indicators that can support existing clinical assessment. The segmental parameters and candidate distribution indices to be identified may offer research indicators that could be validated in different samples in the future. Furthermore, demonstrating the relationship between regional fat and muscle distribution and pain and lower extremity function in women with lipedema may contribute to the development of a more comprehensive approach that can be used in the evaluation and follow-up of patients.

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Conditions studied

  • Lipedema
  • Obesity
  • Body Mass Index
  • Bioelectrical Impedance Analysis

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Keywords

  • Lipedema, Obesity, Index
03

In context

Lipedema

83 studies on the registry are indexed under Lipedema; 31 are open to participants now.

This study's planned enrollment of 200 is above the median of 90 across 42 observational studies indexed under Lipedema.

Browse Lipedema studies →

Lead sponsor

Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey is the lead sponsor of 107 studies on the registry; 31 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population will consist of adult female patients diagnosed with lipedema who present to the Physical Medicine and Rehabilitation Outpatient Clinic during the study period, along with female volunteers with a similar mean BMI who are evaluated at the outpatient clinic.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

1. Inclusion Criteria (Lipedema Group)

  1. Being female.
  2. Being between 18-65 years of age.
  3. Having received a diagnosis of lipedema based on clinical evaluation.
  4. Being willing to participate in the study and signing the written informed consent form.

2. Inclusion Criteria (BMI-Matched Obese Group)

  1. Being female.
  2. Being between 18-65 years of age.
  3. Not meeting the diagnostic criteria for lipedema on clinical evaluation.
  4. Showing similar characteristics to the lipedema group in terms of age and BMI.
  5. Being willing to participate in the study and signing the written informed consent form.

Exclusion criteria

Exclusion Criteria:

  1. Being pregnant or breastfeeding.
  2. Having a diagnosis of primary or secondary lymphedema.
  3. Having clinically advanced-stage chronic venous insufficiency, an active venous ulcer, or a history of acute deep vein thrombosis.
  4. Having a history of surgery or serious trauma within the last 6 months.
  5. Having an active infection, cellulitis, or open wound.
  6. Presence of edema due to congestive heart failure, advanced renal failure, or decompensated liver disease.
  7. Having a diagnosis of active malignancy.
  8. Having a neurological, rheumatological, or serious musculoskeletal disease that could affect the assessment.
  9. Being unable to comply with study procedures or not providing informed consent.
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Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Group 1: Female patients with lipedema

    Group/Cohort Description: Female patients with lipedema

    Other: Bioelectrical Impedance Analysis · Other: Numeric Rating Scale · Other: Lower Extremity Functional Scale · Other: Short Form-12 · Other: Clinical Staging

  • Group 2: Obese/overweight women

    BMI-matched obese women

    Other: Bioelectrical Impedance Analysis

Interventions

  • OtherBioelectrical Impedance Analysis

    Body composition will be assessed using bioelectrical impedance analysis. Total and segmental body composition parameters, including body fat mass, body fat percentage, muscle mass, and total body water, will be recorded.

  • OtherNumeric Rating Scale

    Pain intensity will be evaluated using the Numeric Rating Scale, ranging from 0 (no pain) to 10 (worst imaginable pain).

    Also known as: NRS

  • OtherLower Extremity Functional Scale

    Functional status will be assessed using the Lower Extremity Functional Scale. The total score ranges from 0 to 80, with higher scores indicating better lower extremity function and lower disability levels.

    Also known as: LEFS

  • OtherShort Form-12

    Health-related quality of life will be assessed using the SF-12 questionnaire, including the Physical Component Summary (PCS-12) and Mental Component Summary (MCS-12) scores. Scores range from 0 to 100, with higher scores indicating better perceived health status and quality of life.

    Also known as: SF-12

  • OtherClinical Staging

    Lipedema stage will be determined according to clinical examination findings and established diagnostic criteria.

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What researchers measure

Primary outcomes

  1. Ratio of the total fat mass of the two legs to total body fat mass

    The ratio will be calculated by dividing the sum of the fat mass of both legs by total body fat mass, as measured using bioelectrical impedance analysis.

    Time frame: Baseline

Secondary outcomes

  1. Total fat mass

    Total fat mass will be measured in kilograms using bioelectrical impedance analysis and represents the estimated total amount of fat mass in the body.

    Time frame: Baseline

  2. Fat-free body mass

    Fat-free body mass will be measured in kilograms using bioelectrical impedance analysis and represents total body mass excluding fat mass.

    Time frame: Baseline

  3. Total and skeletal muscle mass

    Total muscle mass and skeletal muscle mass will be measured in kilograms using bioelectrical impedance analysis and represent the estimated amounts of total muscle tissue and skeletal muscle tissue in the body, respectively.

    Time frame: Baseline

  4. Total body water

    Total body water will be measured in kilograms using bioelectrical impedance analysis and represents the estimated total amount of water in the body.

    Time frame: Baseline

  5. Visceral fat level

    Visceral fat level will be assessed using bioelectrical impedance analysis and reported as a device-generated rating reflecting the estimated amount of fat surrounding the internal abdominal organs.

    Time frame: Baseline

  6. Leg-to-trunk fat ratio

    The leg-to-trunk fat ratio will be calculated by dividing the sum of the fat mass of both legs by trunk fat mass, as measured using bioelectrical impedance analysis.

    Time frame: Baseline

  7. Leg-to-arm fat ratio

    The leg-to-arm fat ratio will be calculated by dividing the sum of the fat mass of both legs by the sum of the fat mass of both arms, as measured using bioelectrical impedance analysis.

    Time frame: Baseline

  8. Leg muscle-to-fat ratio

    The leg muscle-to-fat ratio will be calculated by dividing the total muscle mass of both legs by the total fat mass of both legs, as measured using bioelectrical impedance analysis.

    Time frame: Baseline

  9. Right-left extremity asymmetry

    Right-left extremity asymmetry will be assessed by calculating the absolute differences in fat mass and muscle mass between the right and left upper and lower extremities, as measured using bioelectrical impedance analysis.

    Time frame: Baseline

07

Study locations

1 of 1 sites recruiting
  • Department of Physical Medicine and Rehabilitation, Health Sciences University Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Uskudar
    Istanbul, Uskudar, Turkey (Türkiye)
    • Feyza Yücel Assoc.Prof. · Contact
    Recruiting
08

References and documents

Publications

  • Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996 Mar;34(3):220-33. doi: 10.1097/00005650-199603000-00003. PubMed 8628042 ↗
  • Soylu C, Kutuk B. Reliability and Validity of the Turkish Version of SF-12 Health Survey. Turk Psikiyatri Derg. 2022 Summer;33(2):108-117. doi: 10.5080/u25700. English, Turkish. PubMed 35730511 ↗
  • Citaker S, Kafa N, Hazar Kanik Z, Ugurlu M, Kafa B, Tuna Z. Translation, cross-cultural adaptation and validation of the Turkish version of the Lower Extremity Functional Scale on patients with knee injuries. Arch Orthop Trauma Surg. 2016 Mar;136(3):389-95. doi: 10.1007/s00402-015-2384-6. Epub 2016 Jan 4. PubMed 26728274 ↗
  • Binkley JM, Stratford PW, Lott SA, Riddle DL. The Lower Extremity Functional Scale (LEFS): scale development, measurement properties, and clinical application. North American Orthopaedic Rehabilitation Research Network. Phys Ther. 1999 Apr;79(4):371-83. PubMed 10201543 ↗
  • Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gomez JM, Heitmann BL, Kent-Smith L, Melchior JC, Pirlich M, Scharfetter H, Schols AM, Pichard C; Composition of the ESPEN Working Group. Bioelectrical impedance analysis--part I: review of principles and methods. Clin Nutr. 2004 Oct;23(5):1226-43. doi: 10.1016/j.clnu.2004.06.004. PubMed 15380917 ↗
  • Gursen C, Cools J, Claes L, De Groef A, Meeus M, Spincemaille L, Pouchele F, Thomis S, Cornelissen V, Devoogdt N. Exploring quality of life and physical-physiological characteristics in obese patients with and without lipedema: insights from the LipObes study. BMC Womens Health. 2026 Jun 20. doi: 10.1186/s12905-026-04580-2. Online ahead of print. PubMed 42321781 ↗
  • Halk AB, Damstra RJ. First Dutch guidelines on lipedema using the international classification of functioning, disability and health. Phlebology. 2017 Apr;32(3):152-159. doi: 10.1177/0268355516639421. Epub 2016 Jul 9. PubMed 27075680 ↗
  • Buso G, Depairon M, Tomson D, Raffoul W, Vettor R, Mazzolai L. Lipedema: A Call to Action! Obesity (Silver Spring). 2019 Oct;27(10):1567-1576. doi: 10.1002/oby.22597. PubMed 31544340 ↗

Individual participant data

Plan to share: No — The individual participant data generated and analyzed during this study will not be publicly shared.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Sep 2026 (actual). Primary completion is estimated for Nov 2026, 2 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 9, 2026
First posted
Oct 16, 2026
StartActual
Sep 20, 2026
Primary completionEst.
Nov 20, 2026
CompletionEst.
Dec 30, 2026
Last update
Oct 16, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Oct 16, 2026
Show all 1 update
  1. Oct 16, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

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Registry details

Key details

Study ID
NCT07878299
Responsible party
Feyza Nur Yucel (Associate Professor, M.D., Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey) — Principal investigator
First posted
Oct 16, 2026
Start date
Sep 20, 2026
Primary completion
Nov 20, 2026 (estimated)
Completion
Dec 30, 2026 (estimated)
Last update
Oct 16, 2026

Study contacts

Feyza Nur Yücel, Assoc. Prof.
Contact
dr.fny28@gmail.com
2165422000 ext. +90
Feyza Nur Yücel, Assoc. Prof.
principal investigator · Saglik Bilimleri Universitesi

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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