Relationship Between Chronic Diseases, Body Mass Index and Waist Circumference For The Follow-Up of Elderly Patients Followed in a Primary Care Unit
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VOLUME: 22 ISSUE: 1
P: 29 - 36
2012

Relationship Between Chronic Diseases, Body Mass Index and Waist Circumference For The Follow-Up of Elderly Patients Followed in a Primary Care Unit

Anatol J Gen Med Res 2012;22(1):29-36
1. İzmir Urla 1 nolu Merkez Aile Sağlığı Merkezi
2. İzmir Bozyaka Eğitim ve Araştırma Hastanesi, Acil Tıp Kliniği
3. İzmir Karşıyaka 11 nolu Aksoy Aile Sağlığı Merkezi
4. İzmir Karabağlar Toplum Sağlığı Merkezi
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Received Date: 2015-05-18T16:24:11
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Abstract

Aim: To evaluate the prevalence of obesity and the relationship between socioeconomic status or chronic diseases in elderly patients followed in primary care is planned, to investigate whether measurements of body mass index, waist circumference (WC), hip circumference (HC), and WC / HC could be made interchangeably by evaluating the correlation between due to the difficulties experienced in the measurement of height and weight of this group of patients. Material and Method: In this descriptive cross-sectional study, of the 65 years and older 510 patients followed at Urla 1st Family Health Center (ASM), 362 patients with complete data base records were included in the study. The demographic da-ta of individuals (gender, age, education level, marital status), the diagnosis of chronic disease (hypertension, diabetes, hyper-lipidemia), BMI, waist and hip circumference measurements recorded retrospectively on the standard form designed for the purpose of the study by researchers. Independent analysis of the data sample t test, One Way ANOVA (post hoc LSD), with Pearson correlation analysis was used. According to the evaluation of waist and hip circles BMI cut-off values and the values calculated according to the sensitivity, specificity and AUC of the ROC curves by calculating the MedCalc demo program was used for drawing. P<0.05 was considered statistically significant. Findings: A statistically significant correlation was found between BMI and waist circumference and hip circumference for DM, HT, HL and all patients (p <0.05). Waist and hip circumference cut-off values based on the AUC (area under curve) values according to obesity were statistically significant (p <0.05). In all cases, and only in women the best cut-off values for WHR was not statistically significant. The cut-off value for WHR in men was statistically significant. Conclusion: In our study, waist circumference and hip circumference measurements in the elderly with chronic disease shown to correlate with BMI calculations are noteworthy. In elderly patients who have difficulty standing up; cut off values by the waist and hip circumference measurements determining the boundaries of communities instead of BMI is proposed the availability.

Keywords:
Primary care, elderly patient, obesity, waist circumference