Development of a Simple Grip Strength Estimation Model Using Subjective Ratings of Opening and Holding Task Difficulty

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Key Points

The goal is to create a model that estimates grip strength using subjective ratings of task difficulty instead of direct measurement tools.
Measured actual grip strength using a dynamometer.
Conducted a survey on task difficulty related to opening bottles and lifting weights.
Used multiple regression analysis and machine learning techniques to develop the estimation model.
Assessed the model's generalizability by comparing estimated grip strength to actual measurements.
The estimated grip strength showed a high correlation with actual measurements (maximum r = .831).
Some discrepancies were observed in specific grip strength ranges.
The model is suggested to be effective for estimating grip strength in situations where dynamometers cannot be used.

Model development estimates grip strength based on subjective task difficulty ratings, suggesting new assessment methods.

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Taniguchi et al. (2026) studied this question.

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