| Unique ID issued by UMIN | UMIN000058451 |
|---|---|
| Receipt number | R000066834 |
| Scientific Title | A Retrospective Cohort Study of Behavior Change Prediction and Glycemic Control Using a Combined 50 kHz Reactance and Neighborhood Walking Environment Score in Newly Diagnosed Type 2 Diabetes Mellitus Patients |
| Date of disclosure of the study information | 2025/07/14 |
| Last modified on | 2025/07/14 04:30:09 |
A Retrospective Cohort Study of Behavior Change Prediction and Glycemic Control Using a Combined 50 kHz Reactance and Neighborhood Walking Environment Score in Newly Diagnosed Type 2 Diabetes Mellitus Patients
A Retrospective Cohort Study of Behavior Change Prediction and Glycemic Control Using a Combined 50 kHz Reactance and Neighborhood Walking Environment Score in Newly Diagnosed Type 2 Diabetes Mellitus Patients
A Retrospective Cohort Study of Behavior Change Prediction and Glycemic Control Using a Combined 50 kHz Reactance and Neighborhood Walking Environment Score in Newly Diagnosed Type 2 Diabetes Mellitus Patients
A Retrospective Cohort Study of Behavior Change Prediction and Glycemic Control Using a Combined 50 kHz Reactance and Neighborhood Walking Environment Score in Newly Diagnosed Type 2 Diabetes Mellitus Patients
| Japan |
Type 2 diabetes
| Endocrinology and Metabolism | Not applicable |
Others
NO
To develop and validate a synergistic behavioral prediction index (SBPI) combining 50 kHz reactance and neighborhood walking environment scores in newly diagnosed type 2 diabetic patients to assess its predictive accuracy for successful behavior change and achievement of glycemic control in lifestyle interventions.
Others
Evaluation of the ability of bioelectrical impedance-derived body composition indices to predict independently Analysis of the effect-modifying effect of environmental factors (walking environment) Verification of improved prediction accuracy by insulin resistance stratification Estimation of effect after adjustment for selection bias using causal inference methods Creation of feature importance rankings using machine learning
Confirmatory
Pragmatic
Achieved good glycemic control (HbA1c <7.0%) after 4 months
HbA1c change Body composition change (50 kHz reactance, muscle mass, body fat percentage) Muscle strength index change Composite body composition index change Intervention adherence
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Prevention
| Food | Behavior,custom | Other |
Standardized Lifestyle Intervention (diet + exercise + education) Intervention arm description: 4-month structured lifestyle intervention program for newly diagnosed type 2 diabetes patients with routine body composition measurements at initial visit and every 2 months
| 20 | years-old | <= |
| 80 | years-old | >= |
Male and Female
Newly diagnosed type 2 diabetes (within 3 months of diagnosis) Age 20-80 Baseline HbA1c 6.5-9.9% (48-85 mmol/mol) Available to participate in lifestyle intervention
Type 1 diabetes or secondary diabetes Pregnant or lactating Serious liver disease (ALT >3 times upper limit of normal) Heart failure (NYHA Class III-IV) Dialysis or eGFR <30 mL/min/1.73m^2 Contraindication to bioelectrical impedance measurement Not obtain informed consent
195
| 1st name | Akira |
| Middle name | |
| Last name | Kimura |
Gunma Paz University
Department of Rehabilitation Sciences
3700006
Tonyamachi1-7-1,Takasaki,Gunma, Japan
027-365-3366
kimuaki@nifty.com
| 1st name | Akira |
| Middle name | |
| Last name | Kimura |
Gunma Paz University
Department of Rehabilitation Sciences
3700006
1-7-1 Tonyamachi,Takasaki,Gunma
027-365-3366
https://kimuakilabo.main.jp/UMIN-CTR-Study2023-1
kimuaki@nifty.com
Gunma Paz University
Akira Kimura
Gunma Paz University
Other
Japan
Saiseikai Maebashi Hospital
Gunma Paz University
1-7-1 Tonyamchi, Takasaki, Gunma
027-365-3366
kimuaki@nifty.com
NO
群馬県
済生会前橋病院(群馬県)
| 2025 | Year | 07 | Month | 14 | Day |
https://kimuakilabo.main.jp/kaken2024-2026-1
Unpublished
195
Completed
| 2023 | Year | 06 | Month | 21 | Day |
| 2023 | Year | 06 | Month | 20 | Day |
| 2023 | Year | 06 | Month | 21 | Day |
| 2024 | Year | 12 | Month | 31 | Day |
| 2025 | Year | 03 | Month | 31 | Day |
| 2025 | Year | 04 | Month | 01 | Day |
| 2025 | Year | 07 | Month | 31 | Day |
| 2025 | Year | 07 | Month | 14 | Day |
| 2025 | Year | 07 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066834