The Value of Handgrip Strength and Self-Rated Squat Ability in Predicting Mild Cognitive Impairment
Development and Validation of a Prediction Model
Bibliographic Data
Early identification of individuals with mild cognitive impairment (MCI) is essential to combat worldwide dementia threats. Physical function indicators might be low-cost early markers for cognitive decline. To establish an early identification tool for MCI by combining physical function indicators (upper and lower limb function) via a clinical prediction modeling strategy. A total of 5393 participants aged 60 or older were included in the model. The variables selected for the model included sociodemographic characteristics, behavioral factors, mental status and chronic conditions, upper limb function (handgrip strength), and lower limb function (self-rated squat ability). Two models were developed to test the predictive value of handgrip strength (Model 1) or self-rated squat ability (Model 2) separately, and Model 3 was developed by combining handgrip strength and self-rated squat ability. The 3 models all yielded good discrimination performance (area under the curve values ranged from 0.719 to 0.732). The estimated net reclassification improvement values were 0.3279 and 0.1862 in Model 3 when comparing Model 3 to Model 1 and Model 2, respectively. The integrated discrimination improvement values were estimated as 0.0139 and 0.0128 when comparing Model 3 with Model 1 and Model 2, respectively. The model that contains both upper and lower limb function has better performance in predicting MCI. The final prediction model is expected to assist health workers in early identification of MCI, thus supporting early interventions to reduce future risk of AD, particularly in socioeconomically deprived communities
Cognition · Dementia · Physical medicine and rehabilitation · Physical therapy · Psychiatry · Psychological intervention · Squat · Dementia and Cognitive Impairment Research · Frailty in Older Adults · Medicine · Nutrition and Health in Aging · Psychology
Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China
Grip Strength
Older Adults' Reasons for Using Technology while Aging in Place
Calculating the sample size required for developing a clinical prediction model
The global prevalence of dementia
“Mini-mental state”
Depressive Symptoms and Cognitive Decline Among Chinese Rural Elderly Individuals
An Association between Lower Extremity Function and Cognitive Frailty
Marital Loss and Cognitive Function
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