[PP.LB01.14] PREDICTIVE VALUES FOR OBESITY AND DIABETES IN PRIMARY CARE

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Abstract

Objective:

To evaluate the predictive value of blood pressure (BP), age, body mass index (BMI) and pain in predicting obesity and diabetes mellitus (DM) in primary care (PC).

Design and method:

Cross-sectional study with 496 adult consecutive PC patients was performed. The cardiovascular risk was determined (age, male gender, BP, BMI). Three groups were analysed: the 1st group – healthy patients (N = 97), the 2nd group - patients with obesity (BMI >30) and somatic disease, but not DM (N = 85), the 3rd group - DM patients (N = 22). McGill Pain self-assessment questionnaire was filled in. Information on the clinical diagnoses was obtained from the patients’ medical records.

Results:

All PC samples did not differ by gender (men 38,1%, 39,1% and 40,9%, resp.), but they differed by age (41 ± 14; 54 ± 14 and 60 ± 9, resp.). Higher systolic BP (p = 0,023), older age (p = 0,002) and presence of pain in legs (p = 0,025) were predictors of DM. Older age (p < 0,001) and pain in legs (p = 0,009), but not high BP were predictors of obesity. When the 1st and the 3rd groups were compared, the greatest differences were found in pain in legs, (1.0% vs. 13.6%, p = 0.02), and in body parts, situated lower than plexus (LP) (4.1% vs. 18.2%, p = 0.038). Results found that older age (p = 0,002), higher systolic BP (p = 0,023) and presence of pain in LP (p = 0,034) were predictors of DM, while predicting obesity, the predictors were older age (p < 0,001), and pain in LP (p = 0,004) only.

Conclusions:

Pain is valuable marker to predict diabetes next to standard confounding factors such as BP, age and BMI, and more valuable than BP to predict obesity in PC patients.

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