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Health, Body Composition, and Nutrition Research Among Women in Kazakhstan (HER-KZ)

26. juni 2026 opdateret af: Mei Yen Chan, Nazarbayev University

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.

Studieoversigt

Status

Ikke rekrutterer endnu

Betingelser

Undersøgelsestype

Observationel

Tilmelding (Anslået)

200

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Undersøgelse Kontakt Backup

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

N/A

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Participants will be identified from the pool of women attending clinically-ordered DEXA examinations.

Beskrivelse

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Fat Mass Index (FMI)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Bone mineral density (BMD)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Fat-Free Mass Index (FFMI)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Visceral Adipose Tissue (VAT)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Appendicular lean mass index (ALMI)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Appendicular skeletal muscle mass and index (ASMI)
Tidsramme: 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.
Assessed at a single study visit during enrollment
Body Mass Index (BMI)
Tidsramme: Assessed at a single study visit during enrollment
Assessed at a single study visit during enrollment

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
SARC-F Score
Tidsramme: Assessed at a single study visit during enrollment
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.
Assessed at a single study visit during enrollment
Rapid Eating Assessment for Participants - dietary quality score
Tidsramme: Assessed at a single study visit during enrollment
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.
Assessed at a single study visit during enrollment
IPAQ-SF Physical Activity (International Physical Activity Questionnaire - Short Form)
Tidsramme: Assessed at a single study visit during enrollment
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.
Assessed at a single study visit during enrollment
Pittsburgh Sleep Quality Index (PSQI) Global Score
Tidsramme: Assessed at a single study visit during enrollment
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.
Assessed at a single study visit during enrollment

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Nazarbayev University

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

1. juli 2026

Primær færdiggørelse (Anslået)

1. juli 2029

Studieafslutning (Anslået)

1. juli 2029

Datoer for studieregistrering

Først indsendt

18. juni 2026

Først indsendt, der opfyldte QC-kriterier

26. juni 2026

Først opslået (Faktiske)

30. juni 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

30. juni 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

26. juni 2026

Sidst verificeret

1. juni 2026

Mere information

Begreber relateret til denne undersøgelse

Yderligere relevante MeSH-vilkår

Andre undersøgelses-id-numre

  • 201223FD2603

Plan for individuelle deltagerdata (IPD)

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