Body Composition ChangesHER-KZNCT07675486
Health, Body Composition, and Nutrition Research Among Women in Kazakhstan
An observational study of Body Composition Changes and Dietary Intakes, run by Nazarbayev University.
Trial summary
This study aims to investigate the association between dietary intake, physical activity, sleep quality, and body composition in women in Kazakhstan. The study will recruit approximately 200 women aged 20 years and older undergoing routine DEXA examinations in Astana. Read more about this study
- Who is it for?
- Ages 20 years and older, women only
- Conditions the study is for
- Body Composition Changes, Dietary Intakes, Sleep
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Jul 2026to Jul 2029
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 years and older
- Women only
- Adult, Older adult
Study population: Participants will be identified from the pool of women attending clinically-ordered DEXA examinations.
Who may be able to join
- Female sex
- Age ≥20 years at the time of consent
- Natural postmenopause (≥12 consecutive months of amenorrhoea not attributable to other pathological or pharmacological causes) OR surgical postmenopause (bilateral oophorectomy)
- Resident of Astana or the surrounding region with no planned relocation during the study period
- Able to provide written informed consent independently
- Able to complete the questionnaire in Kazakh, Russian, or English
Who cannot join
- Active malignancy or systemic anti-cancer treatment (chemotherapy, radiotherapy, immunotherapy) within the past 5 years
- Conditions causing secondary changes in muscle mass or body composition: hyperthyroidism (untreated), Cushing's syndrome, acromegaly, severe liver disease (Child-Pugh B or C), advanced chronic kidney disease (Stage 4 or 5, eGFR <30 ml/min/1.73 m²)
- Neuromuscular disorders that independently affect skeletal muscle mass (e.g., myopathy, motor neurone disease, multiple sclerosis)
- Long-term systemic corticosteroid therapy (>3 months in the past year, equivalent to ≥5 mg/day prednisolone)
- Severe skeletal deformity (kyphoscoliosis, limb absence) or presence of metallic implants (hip or knee prosthesis on both sides, bilateral rods) that would significantly compromise DEXA body composition validity
- Physical inability to stand or to complete the functional assessments safely
- Cognitive impairment or psychiatric condition precluding independent informed consent, as determined by the recruiting research team member
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
Tairkhan Dautov contact
About this study
Official title: Understanding Women's Health in Kazakhstan: Body Composition as a Key Indicator for Precision Nutrition and Predictive Healthcare
This study aims to investigate the association between dietary intake, physical activity, sleep quality, and body composition in women in Kazakhstan. The study will recruit approximately 200 women aged 20 years and older undergoing routine DEXA examinations in Astana. Participants will complete validated questionnaires assessing diet, physical activity, sleep quality, and sarcopenia risk, alongside functional assessments. DEXA scans will provide measurements of fat mass, lean mass, visceral adipose tissue, bone mineral density, and appendicular skeletal muscle mass. The primary objective is to evaluate associations between dietary quality and DEXA-derived outcomes. Secondary objectives include assessing sarcopenia prevalence and examining relationships between physical activity, sleep quality, supplement use, and body composition. An optional second stage will explore associations between body composition and existing inflammatory and metabolic biomarkers from medical records. The findings are expected to provide the first comprehensive DEXA-based dataset on women's body composition and lifestyle factors in Kazakhstan and inform public health strategies.
- Conditions
- Body Composition Changes, Dietary Intakes, Sleep, Physical Activity
- Medical subject headings
- Motor Activity
What is being measured
The primary outcome is the main question the study is designed to answer.
Fat Mass Index (FMI)
FMI in kg/m², measured by dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater adiposity and a less favorable body composition profile.
Measured: Assessed at a single study visit during enrollment
Bone mineral density (BMD)
BMD in g/cm², measured using dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater bone mineral density and generally better bone health, whereas lower values indicate reduced bone mineral density.
Measured: Assessed at a single study visit during enrollment
Fat-Free Mass Index (FFMI)
FFMI in kg/m², calculated as total fat-free mass (kg) divided by height squared (m²), and measured using dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater fat-free mass relative to height and a more favorable body composition profile.
Measured: Assessed at a single study visit during enrollment
Visceral Adipose Tissue (VAT)
Measured using dual-energy X-ray absorptiometry (DEXA) and reported as visceral fat mass in grams (g) or kilograms (kg). Higher values indicate greater accumulation of visceral adipose tissue and a less favorable body composition profile.
Measured: Assessed at a single study visit during enrollment
Appendicular lean mass index (ALMI)
ALMI in kg/m², calculated as the sum of lean mass from both arms and legs (kg) divided by height squared (m²), and measured by dual-energy X-ray absorptiometry (DEXA). This is a continuous measure and does not have a predefined minimum or maximum value. Higher values indicate greater appendicular lean mass.
Measured: Assessed at a single study visit during enrollment
Appendicular skeletal muscle mass and index (ASMI)
ASMI in kg/m², calculated as the appendicular skeletal muscle mass (sum of lean soft tissue mass of the arms and legs, kg) divided by height squared (m²), and measured using dual-energy X-ray absorptiometry (DEXA). This is a continuous measure and has no predefined minimum or maximum value. Higher values indicate greater appendicular skeletal muscle mass.
Measured: Assessed at a single study visit during enrollment
Body Mass Index (BMI)
Measured: Assessed at a single study visit during enrollment
Secondary outcomes (4)
SARC-F Score
A self-reported screening tool consisting of five items evaluating strength, assistance with walking, rising from a chair, climbing stairs, and falls. Each item is scored from 0 to 2, yielding a total score ranging from 0 to 10. Higher scores indicate greater risk of sarcopenia and poorer physical function, with scores ≥4 suggesting probable sarcopenia.
Measured: Assessed at a single study visit during enrollment
Rapid Eating Assessment for Participants - dietary quality score
A 19-item questionnaire evaluating food sufficiency, healthy eating patterns, foods to limit, salt intake, alcohol consumption, and dietary supplement use. Each item is rated on a 4-point frequency scale. Responses are summed to generate a total dietary quality score ranging from 19 to 76, with higher scores indicating better overall dietary quality and greater adherence to healthy dietary practices.
Measured: Assessed at a single study visit during enrollment
IPAQ-SF Physical Activity (International Physical Activity Questionnaire - Short Form)
Evaluates the frequency and duration of walking, moderate-intensity activity, and vigorous-intensity activity over the past 7 days. Responses are converted into metabolic equivalent task (MET)-minutes per week. Total physical activity score has no fixed minimum or maximum value, as it is a continuous measure. Higher scores indicate greater levels of physical activity.
Measured: Assessed at a single study visit during enrollment
Pittsburgh Sleep Quality Index (PSQI) Global Score
A 19-item questionnaire that evaluates sleep quality and disturbances over the past month across seven components (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction). Each component is scored from 0 to 3, yielding a total global score ranging from 0 to 21. Higher scores indicate poorer sleep quality, with scores >5 generally indicating poor sleep quality.
Measured: Assessed at a single study visit during enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted30 Jun 2026
- Study startJul 2026 (estimated)
- Primary completionJul 2029 (estimated)
- Study completionJul 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Body Composition ChangesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Nazarbayev University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Mei Yen Chan, Nazarbayev University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07675486
- Sponsor's protocol ID
- 201223FD2603
- Acronym
- HER-KZ
- Status last verified
- Jun 2026
- First submitted
- 18 Jun 2026
- Last updated
- 30 Jun 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 30 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Understanding Women's Health in Kazakhstan: Body Composition as a Key Indicator for Precision Nutrition and Predictive Healthcare
- ClinicalTrials.gov ID
- NCT07675486
- Acronym / sponsor ID
- HER-KZ / 201223FD2603
- Conditions
- Body Composition Changes, Dietary Intakes, Sleep, Physical Activity
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Nazarbayev UniversityUniversity, hospital or other
- Study start
- Jul 2026 (estimated)
- Primary completion
- Jul 2029 (estimated)
- Study completion
- Jul 2029 (estimated)
- First posted
- 30 Jun 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to investigate the association between dietary intake, physical activity, sleep quality, and body composition in women in Kazakhstan. The study will recruit approximately 200 women aged 20 years and older undergoing routine DEXA examinations in Astana. Participants will complete validated questionnaires assessing diet, physical activity, sleep quality, and sarcopenia risk, alongside functional assessments. DEXA scans will provide measurements of fat mass, lean mass, visceral adipose tissue, bone mineral density, and appendicular skeletal muscle mass. The primary objective is to evaluate associations between dietary quality and DEXA-derived outcomes. Secondary objectives include assessing sarcopenia prevalence and examining relationships between physical activity, sleep quality, supplement use, and body composition. An optional second stage will explore associations between body composition and existing inflammatory and metabolic biomarkers from medical records. The findings are expected to provide the first comprehensive DEXA-based dataset on women's body composition and lifestyle factors in Kazakhstan and inform public health strategies.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 20 years and older
- Sex
- Female only
- Age groups
- Adult, Older adult
- Study population
- Participants will be identified from the pool of women attending clinically-ordered DEXA examinations.
Key inclusion criteria (6 listed)
- Female sex
- Age ≥20 years at the time of consent
- Natural postmenopause (≥12 consecutive months of amenorrhoea not attributable to other pathological or pharmacological causes) OR surgical postmenopause (bilateral oophorectomy)
- Resident of Astana or the surrounding region with no planned relocation during the study period
- Able to provide written informed consent independently
Key exclusion criteria (7 listed)
- Active malignancy or systemic anti-cancer treatment (chemotherapy, radiotherapy, immunotherapy) within the past 5 years
- Conditions causing secondary changes in muscle mass or body composition: hyperthyroidism (untreated), Cushing's syndrome, acromegaly, severe liver disease (Child-Pugh B or C), advanced chronic kidney disease (Stage 4 or 5, eGFR <30 ml/min/1.73 m²)
- Neuromuscular disorders that independently affect skeletal muscle mass (e.g., myopathy, motor neurone disease, multiple sclerosis)
- Long-term systemic corticosteroid therapy (>3 months in the past year, equivalent to ≥5 mg/day prednisolone)
- Severe skeletal deformity (kyphoscoliosis, limb absence) or presence of metallic implants (hip or knee prosthesis on both sides, bilateral rods) that would significantly compromise DEXA body composition validity
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Fat Mass Index (FMI)
Time frame: Assessed at a single study visit during enrollment
FMI in kg/m², measured by dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater adiposity and a less favorable body composition profile.
Bone mineral density (BMD)
Time frame: Assessed at a single study visit during enrollment
BMD in g/cm², measured using dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater bone mineral density and generally better bone health, whereas lower values indicate reduced bone mineral density.
Fat-Free Mass Index (FFMI)
Time frame: Assessed at a single study visit during enrollment
FFMI in kg/m², calculated as total fat-free mass (kg) divided by height squared (m²), and measured using dual-energy X-ray absorptiometry (DEXA). Higher values indicate greater fat-free mass relative to height and a more favorable body composition profile.
Visceral Adipose Tissue (VAT)
Time frame: Assessed at a single study visit during enrollment
Measured using dual-energy X-ray absorptiometry (DEXA) and reported as visceral fat mass in grams (g) or kilograms (kg). Higher values indicate greater accumulation of visceral adipose tissue and a less favorable body composition profile.
Appendicular lean mass index (ALMI)
Time frame: Assessed at a single study visit during enrollment
ALMI in kg/m², calculated as the sum of lean mass from both arms and legs (kg) divided by height squared (m²), and measured by dual-energy X-ray absorptiometry (DEXA). This is a continuous measure and does not have a predefined minimum or maximum value. Higher values indicate greater appendicular lean mass.
Appendicular skeletal muscle mass and index (ASMI)
Time frame: Assessed at a single study visit during enrollment
ASMI in kg/m², calculated as the appendicular skeletal muscle mass (sum of lean soft tissue mass of the arms and legs, kg) divided by height squared (m²), and measured using dual-energy X-ray absorptiometry (DEXA). This is a continuous measure and has no predefined minimum or maximum value. Higher values indicate greater appendicular skeletal muscle mass.
Body Mass Index (BMI)
Time frame: Assessed at a single study visit during enrollment
4 secondary outcomes
SARC-F Score
Time frame: Assessed at a single study visit during enrollment
Rapid Eating Assessment for Participants - dietary quality score
Time frame: Assessed at a single study visit during enrollment
IPAQ-SF Physical Activity (International Physical Activity Questionnaire - Short Form)
Time frame: Assessed at a single study visit during enrollment
Pittsburgh Sleep Quality Index (PSQI) Global Score
Time frame: Assessed at a single study visit during enrollment
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Jun 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Tairkhan Dautov contact
Questions about this trial
What is this clinical trial studying?
An observational study of Body Composition Changes and Dietary Intakes, run by Nazarbayev University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 30 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Mei Yen Chan (+7 7172 69 4968, yen.chan@nu.edu.kz), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Fat Mass Index (FMI) (time frame: Assessed at a single study visit during enrollment). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Jun 2026.