| Unique ID issued by UMIN | UMIN000063607 |
|---|---|
| Receipt number | R000072794 |
| Scientific Title | Do temporal patterns of daily physical activity (step count) modify the progression of cardiovascular-kidney-metabolic (CKM) syndrome? A longitudinal study using the DeSC database |
| Date of disclosure of the study information | 2026/11/12 |
| Last modified on | 2026/11/12 15:07:02 |
Study on the association between daily step count patterns and progression of cardiovascular-kidney-metabolic syndrome
STEP-CKM
Do temporal patterns of daily physical activity (step count) modify the progression of cardiovascular-kidney-metabolic (CKM) syndrome? A longitudinal study using the DeSC database
STEP-CKM
| Japan |
Cardiovascular-kidney-metabolic syndrome
| Cardiology | Endocrinology and Metabolism | Nephrology |
Others
NO
To describe the distribution and transitions of the integrated CKM stage among Japanese adult insurees in the DeSC database (existing de-identified data), and to evaluate whether temporal patterns (trajectory groups) of daily step counts over about two years after baseline are associated with the time to subsequent CKM stage progression.
Efficacy
Progression of the integrated CKM stage: the first health checkup at which the stage is at least one level higher than the stage at the baseline checkup (follow-up after the landmark; analyzed by baseline stage, with the overall progression across all stages as a supplementary measure).
1) Improvement of the CKM stage (one level or more). 2) Cardiovascular events (acute myocardial infarction, hospitalization for heart failure, stroke; exploratory and descriptive). 3) All-cause death (ascertained where the death flag is usable). 4) Prevalence and distribution by CKM stage. 5) Exploratory subgroup analysis of participants aged 65 years or older.
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
Insurees registered in the DeSC database (data from April 2014 to January 2026) who meet all of the following: 1) aged 20 years or older; 2) continuously enrolled for 12 months or more before baseline; 3) have the health checkup items needed for CKM staging (eGFR and urine protein); 4) have valid step-count records (20 or more days per month) in 10 or more of the 12 months before baseline and in 20 or more of the about 24 months after baseline; 5) have two or more health checkups.
1) Already at CKM stage 4 (clinical cardiovascular disease) at baseline (excluded from the analysis of the primary outcome only; included in the analyses of cardiovascular events and all-cause death). 2) Excessive missing health checkup data (eGFR or urine protein missing, or two or more other staging items missing). 3) Insufficient follow-up. 4) Type 1 diabetes. 5) Receiving renal replacement therapy.
20000
| 1st name | Tomoyuki |
| Middle name | |
| Last name | Fujikura |
Hamamatsu University School of Medicine
Internal Medicine 1
431-3192
1-20-1 Handayama, Chuo-ku, Hamamatsu city, Shizuoka,
053-435-2261
tfuji@hama-med.ac.jp
| 1st name | Tomoyuki |
| Middle name | |
| Last name | Fujikura |
Hamamatsu University School of Medicine
Internal Medicine 1
431-3192
1-20-1 Handayama, Chuo-ku, Hamamatsu city, Shizuoka,
053-435-2261
tfuji@hama-med.ac.jp
Hamamatsu University School of Medicine
Hamamatsu University School of Medicine
Self funding
Hamamatsu University School of Medicine, Ethics Committee for Life Sciences and Medical Research
1-20-1 Handayama, Chuo-ku, Hamamatsu city, Shizuoka,
053-435-2680
rinri@hama-med.ac.jp
YES
26-209
Hamamatsu University School of Medicine, Ethics Committee for Life Sciences and Medical Research
| 2026 | Year | 11 | Month | 12 | Day |
Unpublished
Preinitiation
| 2026 | Year | 10 | Month | 02 | Day |
| 2026 | Year | 10 | Month | 02 | Day |
| 2026 | Year | 10 | Month | 02 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
Retrospective longitudinal cohort study using existing de-identified data of the DeSC database (health checkups, claims, and step counts). Temporal patterns of daily step counts over about two years after baseline are classified by group-based trajectory modeling (GBTM), and the time to subsequent CKM stage progression is compared among the trajectory groups using the landmark method (Cox proportional hazards model or similar; by baseline stage; the reference group is the group maintaining high activity). As a sensitivity analysis, a marginal structural model with time-varying step counts is used. As aim 1, the distribution and transitions of the CKM stage are described. The approval number and the data provider are described in other fields. The actual number of participants after applying the eligibility criteria will be fixed after the analysis is completed. Details of the analytic definitions may be refined after the data are checked; any change will be added to this field with its date.
| 2026 | Year | 11 | Month | 12 | Day |
| 2026 | Year | 11 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000072794