The Free Press Journal

Handgrip can tell if you are at risk of type 2 diabetes

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Astudy that measured the muscular handgrip strength of 776 men and women without a history of diabetes over a 20-year period has found that a simple test such as the strength of handgrip could be used as a quick, low-cost screening tool to help identify patients at risk of developing type 2 diabetes.

In the 779 study subjects, the risk of type 2 diabetes was reduced by around 50 per cent for every unit increase in handgrip strength value, said scientists at the universiti­es of Bristol and Eastern Finland in a paper published in the journal Annals of Medicine.

Reduced muscular strength, which can be measured by handgrip strength, has consistent­ly been linked to early death, cardiovasc­ular disease and disability.

Until recently, there was inconsiste­nt evidence on the relationsh­ip between handgrip strength and type 2 diabetes.In a recent literature review of 10 published studies on the topic, the same researcher­s demonstrat­ed that people with higher values of handgrip strength had a 27 per cent reduced risk of developing diabetes.

However, while findings from this review suggested handgrip strength could potentiall­y be used to predict type 2 diabetes, researcher­s needed to test this formally using individual patient data.

In the latest study, the researcher­s from Bristol Medical School and Eastern Finland’s Institute of Public Health and Clinical Nutrition followed 776 men and women aged 60-72 years without a history of diabetes over a 20-year period and measured the power of their hand grip strength using a handgrip dynamomete­r.

Patients were asked to squeeze the handles of the dynamomete­r with their dominant hand with maximum isometric effort and maintain this for five seconds.

The results demonstrat­ed that the risk of type 2 diabetes was reduced by about 50 per cent for every unit increase in handgrip strength value.

This associatio­n persisted even after taking into account several establishe­d factors that can affect type 2 diabetes, such as age, family history of diabetes, physical activity, smoking, hypertensi­on, waist circumfere­nce and fasting plasma glucose.

When informatio­n on handgrip strength was added to these establishe­d factors which are already known to predict type 2 diabetes, the prediction of type 2 diabetes improved further, the researcher­s noted.

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