Introduction:

Fat excess in the organism can behave as a multifactorial problem and predisposes to the presence of non-transmissible chronic diseases, in which cardiovascular diseases can be mentioned.

Objective:

To establish the optimal cut-off for anthropometric indices to predict Metabolic Syndrome in army personnel, attended at the primary health care.

Method:

An analytical, non-experimental study that was carried out in army personnel at the University of the Armed Forces, during the year 2020. The sample was represented by 203 participants, the collection methods were the medical and anthropometric records, taking into consideration variables such as height and weight, hip and waist circumference, body mass index, laboratory tests, among others. All the data was analyzed using international classification criteria.

Results:

The prevalence of MetSyn was obtained, according to the different criteria: MetSyn ALAD: 4.08% (SD: 0.52), MetSyn ATP III: 7.65% (SD: 0.52), MetSyn HARM: 5.4% (SD: 0.52) and finally, MetSyn OMS: 7.65% (SD: 0.52). Likewise, the predictive anthropometric indices according to the highest AUC are the WC and WHtR in all the criteria studied, in addition, according to MetSyn ATP III, the optimal WC cut-off is 91 cm and the WHtR is 0.53.

Conclusions:

The optimal cut-off for anthropometric indices that predict Metabolic syndrome in army personnel are WC and WHtR, with an optimal cut off lower than the criteria established by ALAD to the diagnosis of MetSyn.

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