Identify the obesity among healthcare workforce

Abstract

Background: Non-communicable diseases such as overweight and obesity were prevalent in our country. Reasons for this may be due to several factors, including difÏcult living conditions, physical labor, economic hardship, smoking, alcohol drinking and dietary habits. Aim: The aims of our study were to identify the overweight and obesity, estimate the comparison among demographic and anthropometric values. Methods: This cross-sectional study in involved 400 workforces in First Central Hospital by screening. A total of 118 healthcare workforces were randomly collected. Demographic questionnaire and anthropometric measurements and physical examinations, including blood pressure, heart rate, height, body weight, body mass index, waist circumference, waist hip ratio. Percent fat and lean mass, body water, protein, minerals were measured using a bioelectrical impedance meter. Results: Among 118 healthcare workforces female were 85.6% (101) and male were 14.4% (12). The sample included 16.1% (19) physician, 45.8% (58) nurses, 19.5% (23) care workers, 18.6% (22) other healthcare professionals. A mean age was 35±10 (21-55 years) years old and mean BMI was 25.5±5.1 kg/m2. The prevalence of overweight (26.3%) and obese (36%) among healthcare workers was 46.6%. The prevalence of overweight and obese among male were 52.9% (9) and 17.6% (3), female were 21.8% (22) бa 20.8% (21) whereas prevalence of overweight and obese in physicians was 62.7% (12) physician, 46.3% (25) nurses, 52.2% (12) care workers, 33.2% (6) other healthcare professionals respectively. Conclusions: Almost one-seconds of healthcare workers (46.6%) were overweight and obese. Male healthcare workers were more obese than females. Among the healthcare workers professional groupings, the physicians, nurses, care workers were more obese than the other healthcare professionals. The overall prevalence of obesity such as waist circumference and waist hip ratio were 64.1% and 56.7% respectively. The height (p<0.001) and weight (p<0.001) were significantly associated with 2 groups. In body composition results such as right arm lean mass and body fat mass were insignificantly with these groups but others were significantly associated (p<0.001) with two groups respectively.