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Validation of Population Characteristics and Dosage Prescriptions for Cognitive Function Intervention Benefits of Different Doses of Tai Chi in Elderly Patients With Mild Cognitive Impairment: A Real-World Cross-Sectional Study

24. Mai 2026 aktualisiert von: Lidian Chen

Real-World External Validation Study on Beneficiary Population Characteristics and Individualized Dose Prescription for Cognitive Improvement of Tai Chi Intervention in Elderly Patients With Mild Cognitive Impairment

This is a companion real-world external validation study of two pre-registered parent randomized controlled trials (RCTs, protocol IDs: FujianUTCM-1 and FujianUTCM-2). We aim to validate the generalizability and clinical applicability of a pre-developed machine learning prediction model (for Tai Chi intervention cognitive benefit population characteristics and individualized dose prescription) in a real-world community-dwelling population.

Studienübersicht

Detaillierte Beschreibung

Mild Cognitive Impairment (MCI) represents a critical early intervention window for delaying the onset and progression of dementia, and early non-pharmacological intervention has become an international consensus in this field. Our research team has completed two multicenter interventional randomized controlled trials (RCTs) pre-registered on ClinicalTrials.gov and their companion multicenter RCTs. Both studies adopted the standardized 24-form simplified Tai Chi as the intervention, with highly unified intervention procedures, movement specifications, and dose settings. These trials confirmed the dose-response relationship of Tai Chi intervention on cognitive improvement in older adults with MCI due to Alzheimer's disease, and preliminarily clarified the intervention effects of different Tai Chi dose combinations on patients' global cognition and cognitive subdomains.

On this basis, we will further identify the core characteristics of the population with significant cognitive benefits from Tai Chi intervention through machine learning algorithms. Based on data mining from 890 RCT participants, we will construct a dual-function machine learning prediction model for "beneficiary population identification + individualized Tai Chi dose prescription formulation". However, the above conclusions are all derived from standardized RCT settings, and their generalizability and clinical applicability in real-world community settings have not yet been validated.

As a sequential validation study, this research will conduct a cross-sectional survey by enrolling 150 older adults with long-term regular Tai Chi practice from communities in Fuzhou, China, to complete two-dimensional external validation of the previous RCT findings: to verify the consistency and feasibility between the beneficiary population characteristics and corresponding Tai Chi dose prescriptions mined from the parent RCTs, and the real Tai Chi dose combinations of the beneficiary population in the real world.

This study will form a closed loop from "causal evidence mining in RCTs" to "clinical application validation in real-world settings", and provide direct, high-level scientific evidence for the clinical promotion and individualized application of Tai Chi intervention in older adults with MCI.

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

150

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Nein

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

This cross-sectional real-world external validation study will enroll 150 community-dwelling older adults aged 60 years and above, who are diagnosed with Mild Cognitive Impairment (MCI) and have regular practice of standardized 24-form simplified Tai Chi for at least 6 months (consistent with the form used in the parent RCTs). Eligible participants will be recruited from communities in Fuzhou, China, to validate the generalizability and clinical applicability of a pre-developed machine learning prediction model for Tai Chi cognitive benefit population identification.

Beschreibung

Inclusion Criteria:

  • 1. Presence of mild cognitive impairment, not demented; 2. Age ≥ 60 years old; 3.Regular practice of standardized 24-form simplified Tai Chi for at least 6 months (consistent with the form used in the parent randomized controlled trials [RCTs]) ; 4.Informed consent and voluntary participation.

Exclusion Criteria:

  1. Geriatric Depression Scale score ≥ 9 points
  2. Cognitive impairment caused by other reasons, taking drugs, poisoning, etc;
  3. Suffer from severe musculoskeletal system diseases and other contraindications to exercise and are not suitable for Tai Chi training, such as those who suffer from stroke, Parkinson's disease, and have a history of lower limb arthritis, hip and knee joint replacement, etc;
  4. Patients with severe heart, liver, kidney failure, malignant tumors, and other major diseases;
  5. Individuals with visual/auditory impairments, writing/reading impairments, illiteracy, etc. that affect training and evaluation;
  6. Individuals with uncontrolled hypertension (systolic blood pressure greater than 160mmHg or diastolic blood pressure greater than 100mmHg after medication);
  7. Participating in other experiments that influence this study. -

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Intervention / Behandlung
Cross-Sectional External Validation Cohort

This is the only study population for this cross-sectional observational real-world external validation study. The cohort consists of community-dwelling older adults aged 60 years and above, who are diagnosed with Mild Cognitive Impairment (MCI) and have long-term regular Tai Chi practice. Participants will be recruited from communities in Fuzhou, China, with a planned sample size of 150 participants.

This study will conduct a single time-point cross-sectional survey on this population, with no prospective follow-up. The sole objective is to externally validate the generalizability and clinical applicability of a pre-developed machine learning prediction model (for identifying MCI populations who gain significant cognitive benefits from Tai Chi intervention and formulating individualized Tai Chi dose prescriptions) in a real-world community setting.

This is the core observational exposure factor of this cross-sectional real-world external validation study, NOT an intervention actively assigned, implemented or manipulated by the investigator. This study only observes and records the existing long-term regular Tai Chi practice behavior (including dose, frequency and duration) of enrolled older adults with Mild Cognitive Impairment (MCI) during a single time-point cross-sectional survey, for the sole purpose of externally validating the generalizability of a pre-developed machine learning prediction model for Tai Chi cognitive benefit population identification and individualized dose prescription. No active behavioral intervention will be administered to any participant in this study.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Montreal Cognitive Assessment
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Global cognition
Single cross-sectional assessment at the time of study enrollment (baseline visit)

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Wechsler Memory Scale
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Memory function
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Digital Symbol test
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Attention
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Trial Making Test part B
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Executive function
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Stroop color word test
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Processing speed
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Boston naming test
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Verbal fluency
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Rey-Osterrieth complex graphics test
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Rey Auditory Verbal Learning Test
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Episodic memory
Single cross-sectional assessment at the time of study enrollment (baseline visit)

Andere Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Blood glucose metabolism index
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
fasting blood glucose
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Blood lipid metabolism index
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
total cholesterol (TC), total triglyceride (TG), low density lipoprotein (LDL), high density lipoprotein (HDL)
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Resting-State Functional Magnetic Resonance Imaging: Default Mode Network Functional Connectivity Structural Magnetic Resonance Imaging: Hippocampal Volume
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)

Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) Measurement of Default Mode Network Functional Connectivity Strength Resting-state fMRI (rs-fMRI) data will be acquired using a 3.0T scanner to evaluate default mode network (DMN) functional connectivity strength, a key correlate of cognitive function. All scanning parameters, preprocessing and analysis methods are identical to our parent randomized controlled trials (FujianUTCM-1/2). Data processing uses SPM12 and CONN toolbox.

3.0T Three-Dimensional T1-Weighted Structural MRI (sMRI) Measurement of Bilateral Hippocampal Total Volume 3D T1-weighted structural MRI (sMRI) data will be acquired using a 3.0T scanner to quantify bilateral hippocampal total volume. All scanning parameters, preprocessing and volumetric analysis methods are consistent with our parent randomized controlled trials (FujianUTCM-1/2). Automated segmentation uses FreeSurfer 7.4.1 with manual visual correction.

Single cross-sectional assessment at the time of study enrollment (baseline visit)
Core Peripheral Blood Biomarkers for Mild Cognitive Impairment (MCI)
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Amyloid-beta(Aβ)、phosphorylated tau(p-tau)、Neurofilament light chain(NfL)、Glial fibrillary acidic protein(GFAP)
Single cross-sectional assessment at the time of study enrollment (baseline visit)
Pittsburgh Sleep Quality Index, PSQI
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
Sleep Quality
Single cross-sectional assessment at the time of study enrollment (baseline visit)
12-Item Short Form Health Survey
Zeitfenster: Single cross-sectional assessment at the time of study enrollment (baseline visit)
General health
Single cross-sectional assessment at the time of study enrollment (baseline visit)

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

15. Mai 2026

Primärer Abschluss (Geschätzt)

31. März 2027

Studienabschluss (Geschätzt)

31. März 2027

Studienanmeldedaten

Zuerst eingereicht

27. März 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

24. Mai 2026

Zuerst gepostet (Tatsächlich)

27. Mai 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

27. Mai 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

24. Mai 2026

Zuletzt verifiziert

1. April 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .

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