<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Background: Abdominal obesity is a confirmed cardio-vascular risk factor and the elements influencing it are subject for research and intervention. The available nutritional evaluation methods are time consuming, subjective and a standardized approach is missing. Aim: Standardized evaluation of patients with abdominal obesity. Material and methods: Cross-sectional study on a convenience sample of 85 subjects who presented in the Endocrinology Outpatient Clinic of the Emergency Mures County Hospital between February - April 2013. Variables: age, sex, environment, BMI, waist, blood glucose, triglycerides, HDL-Cholesterol, blood pressure. Each patient filled a food frequency questionnaire. Results: None of the subjects had a “normal” food pyramid. Sex has no influence on the food pyramid. The meat and protein food group is the only one significantly influenced by the environment (p = 0.04). Patients with dyslipidemia consume lower amounts of sweets (1.13 vs. 1.83 servings, p = 0.007). Patients requiring metabolic treatment have significant higher waist values (101.32 vs. 93.07 cm, p=0.03). Patients with simple abdominal obesity consume significant lower amounts of meat and protein and higher amounts of fruit and vegetables. Conclusions: A standardized approach to the patient with abdominal obesity using nutritional assessment tools and metabolic evaluation helps to identify those at risk and to give more tailored recommendations</p></abstract>

Background: Abdominal obesity is a confirmed cardio-vascular risk factor and the elements influencing it are subject for research and intervention. The available nutritional evaluation methods are time consuming, subjective and a standardized approach is missing. Aim: Standardized evaluation of patients with abdominal obesity. Material and methods: Cross-sectional study on a convenience sample of 85 subjects who presented in the Endocrinology Outpatient Clinic of the Emergency Mures County Hospital between February - April 2013. Variables: age, sex, environment, BMI, waist, blood glucose, triglycerides, HDL-Cholesterol, blood pressure. Each patient filled a food frequency questionnaire. Results: None of the subjects had a “normal” food pyramid. Sex has no influence on the food pyramid. The meat and protein food group is the only one significantly influenced by the environment (p = 0.04). Patients with dyslipidemia consume lower amounts of sweets (1.13 vs. 1.83 servings, p = 0.007). Patients requiring metabolic treatment have significant higher waist values (101.32 vs. 93.07 cm, p=0.03). Patients with simple abdominal obesity consume significant lower amounts of meat and protein and higher amounts of fruit and vegetables. Conclusions: A standardized approach to the patient with abdominal obesity using nutritional assessment tools and metabolic evaluation helps to identify those at risk and to give more tailored recommendations

Assessing the Patient with Abdominal Obesity: Metabolic and Nutritional Factors

PhD Student, University of Medicine and Pharmacy, Tîrgu Mureș, Romania

Endocrinology Outpatient Clinic, County Emergency Clinical Hospital, Tîrgu Mureș, Romania

Radiology Department, County Emergency Clinical Hospital, Tîrgu Mureș, Romania

Internal Medicine Department, University of Medicine and Pharmacy, Tîrgu Mureș, Romania

Nephrology Department, County Emergency Clinical Hospital, Tîrgu Mureș, Romania

Acta Marisiensis - Seria Medica

{"article-title":"Assessing the Patient with Abdominal Obesity: Metabolic and Nutritional Factors"}

Background: Abdominal obesity is a confirmed cardio-vascular risk factor and the elements influencing it are subject for research and intervention. The...

Assessing the Patient with Abdominal Obesity: Metabolic and Nutritional Factors

Published Online: Mar 07, 2014

Page range: 257 - 260

DOI: https://doi.org/10.2478/amma-2013-0059

Keywords
abdominal obesity, food pyramid, nutritional assessment

This content is open access.

Assessing the Patient with Abdominal Obesity: Metabolic and Nutritional Factors

Published Online: Mar 07, 2014

Page range: 257 - 260

DOI: https://doi.org/10.2478/amma-2013-0059

Keywordsabdominal obesity, food pyramid, nutritional assessment

This content is open access.

Keywords
abdominal obesity, food pyramid, nutritional assessment