Journal of Obesity & Metabolic Syndrome

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Korean J Obes 2011; 20(4): 193-201

Published online December 1, 2011

Copyright © Korean Society for the Study of Obesity.

The Evaluation of Workplace Obesity Intervention Program using Six Sigma Methodology

Ji Yeon Kang(1), Ill Keun Park(1), Yun Kyun Chang(1), Sook Hee Sung(1), Yoo Kyoung Park(2)(3), Sang Woon Cho(2), Yun Mi Paek(1)*, Tae In Choi(1)

Radiation Health Research Institute, Korea Hydro & Nuclear Power Co., Ltd.(1), Department of Medical Nutrition, Kyung Hee University(2), Research Institute of Clinical Nutrition, Kyung Hee University(3)

Background: This study was performed to develop, evaluate, and implement an effective obesity intervention program using the DMAIC (Define, Measure, Analyze, Improve, Control) methodology.
Methods: A workplace obesity intervention program involving 100 obese male workers (% body fat ≥ 25% and BMI ≥ 25 kg/m2) was conducted five times (20~30 minutes each time) for 12 weeks. The intervention involved a face-to-face counseling.
Results: The selected critical to quality (CTQ) according to the Define phase was % body fat. The subjects’ mean % body fat, measured during Measure phase, was 27.8% and the sigma level was 0.54σ. According to the analyse phase, the total energy intake (r = 0.417; P < 0.001) and frequency
of exercise (r = -0.317; P < 0.01) were considered as potential factors influencing % body fat. Therefore, these factors were implemented in the intervention protocol. By performing six sigma methodologies, % body fat was significantly decreased from 27.8% to 26.2%, and the sigma
level was improved from 0.54σ to 1.27σ.
Conclusions: The six sigma methodology was well suited for implementing a more efficient and cost-effective intervention, for enhancing the quality of the intervention, and for facilitating the successful adoption of the process and protocol into practice.

Keywords: Obesity, Six sigma, Workplace, Intervention, Cost-effective

Fig. 1. Flowchart of six sigma methodology in this study.
Fig. 2. Changes of sigma level and percent of body fat.

Selected Vital Few using correlation and linear regression analysis



Protocol of obesity intervention program



Effects of obesity intervention on potential CTQs and Vital Fews


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