A newly developed prediction tool based on data from 1,138 individuals aged 45 and older in China identified 12 significant predictors for low handgrip strength, such as age, marital status, physical activity, education, chronic disease history, and laboratory values. Key risk factors included age over 65, stroke history, cancer history, limitations in daily activities, and elevated glycated hemoglobin, while protective factors included marriage, regular moderate physical activity, and higher education levels. The model achieved strong predictive accuracy with an area under the curve of 0.78 and can support early screening and intervention in primary care and geriatrics.

Source: Scientific Reports