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Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BMC Endocr Disord · 2020 · PMC7659072 · PMID 33183282

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Similarly, our findings accord with other studies that have inferred an increasing trend towards developing of MetS with ageing [ 1 , 2 ] which could be associated with the typical accumulation of fat in the abdominal area and increased insulin resistance as one ages [ 1 , 5 ].

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