Age, gender, and presence of diseases significantly affect K-DTVP-2 score, while only age significantly affects VMI-3R score¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q2
Currency · newest study 2014 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2017: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Multiple regression identified age, gender, and presence of diseases as significant predictors of K-DTVP-2 score. → Kim E 2014
q2 i? Multiple regression identified only age as a significant predictor of VMI-3R score. → Kim E 2014 (2)
Evidence¶
Kim E 2014¶
Kim E, Park Y-K, Byun Y-H, Park M-S, Kim H. (2014). Influence of aging on visual perception and visual motor integration in Korean adults. Journal of Exercise Rehabilitation 10(4):245-250. https://doi.org/10.12965/jer.140147
q2 · i? · associational · r2
Multiple regression on K-DTVP-2 score (n=139) with gender, age, BMI, diseases, and exercise as predictors; the model explained 62.7% of the total variance (F=44.710, P<0.001), with scores decreased with increasing age (B=-0.512).
"The significant affecting factor on K-DTVP-2 score were (t=-9.130, P<0.001), gender (t=3.029, P=0.003), and the presence of diseases (t=-2.504, P=0.013)."
Kim E 2014 (2)¶
Kim E, Park Y-K, Byun Y-H, Park M-S, Kim H. (2014). Influence of aging on visual perception and visual motor integration in Korean adults. Journal of Exercise Rehabilitation 10(4):245-250. https://doi.org/10.12965/jer.140147
q2 · i? · associational · r2
Multiple regression on VMI-3R score (n=192) with the same five predictors; the VMI-3R score decreased with increasing age (B=-0.224) and the model explained 34.4% of the total variance (F=19.510, P<0.001).
"The significant affecting factor on VMI-3R score was only age (t=-6.300, P<0.001)."
Discussion¶
Related Claims¶
- K-DTVP-2 appears more strongly affected by age than VMI-3R, but is also more sensitive to gender and disease — related
- K-DTVP-2 visual perception scores decline significantly with age in Korean adults, dropping significantly from the 50s compared to the 20s — related
- K-DTVP-2 and VMI-3R scores are strongly positively correlated (r = 0.855) — related
- VMI-3R scores decline significantly with age in Korean adults, dropping significantly from the 50s compared to the 20s — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
regression-factors-vp-vmi-aging |
title |
Age, gender, and presence of diseases significantly affect K-DTVP-2 score, while only age significantly affects VMI-3R score |
description |
Age, gender, and presence of diseases significantly affect K-DTVP-2 score, while only age significantly affects VMI-3R score |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2014 |
recheck_by |
2017 |
generated |
by process:wiki-ingest on 2026-10-17 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — kim-e-2014, kim-e-2014-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.