This article has been retracted. See "Retraction: Obesity Status and Predictors of Obesity for Military Executive Members of the Korean Army Personnel" in Volume 28 on page 608.
Abstract
Purpose
The purpose of this study was to identify predictors of obesity for military executive members of the Korean Army Personnel.
Methods
The sample consisted of 1,026 executive members from the military. The data were drawn from a self-report survey with questions about demographics, obesity-related knowledge, attitude and behavior from June 9, 2015 to July 21, 2015. The Data were analyzed using descriptive statistics, x2-test and logistic regression.
Results
Of the total participants, sixty-five percent reported being non-obese and the remaining thirty-five percent would be classified as obese. The classification was defined by the BMI scores. Those participants with more than twenty years of service were 3.41 times more likely to be at risk for obesity compared to those participants with less than one year of service who had the lowest risk. Those participants with less than twenty more than ten years of service were 2.64times more likely to report obesity than those who had the lowest risk. Other factors related to the obesity was whether a person was in a front line unit (3.65 times higher), or rear unit (4.48 times higher) as compared to those in a special unit. For those who reported smoking more than a pack of cigarettes a day had 2.64 times the risk of obesity than those who smoked less than a half pack a day. Above average score in sensitivity of obesity related attitude showed 5.92 times higher risk than below average.
Conclusion
This result suggested that over ten years of service, front line unit, rear unit, smoking more than one pack per day, and above average score in sensitivity of obesity related attitude influenced obesity. This study might provide base-line data for implementing tailored obesity management program to improve health status of the Korean army personnel.
REFERENCES
1.Kim YM., Cho DG., Kang SH. Analysis of factors associated with geographic variations in the prevalence of adult obesity using decision tree. Health and Social Science. 2014. 36:157–81.
2.World Health Organization. Obesity and overweight [Internet]. Switzerland: World Health Organization;2015. [cited 2015 December 10]. Available from:. http://www.who.int/mediacentre/factsheets/fs311/en/.
3.Yang BK. Korea Health Statistics 2013: Korea National Health and Nutrition Examination Survey (KNHANES VI-1) [Internet]. Ohsong: Korea Centers for Disease Control and Prevention;2014. [cited 2015 December 10]. Available from:. https://knhanes.cdc.go.kr/knhanes/index.do.
4.Korean Society for the Study of Obesity. Guideline of Obesity Therapy 2012 [Internet]. Seoul: Korean Society for the Study of Obesity;2012. [cited 2015 November1]. Available from:. http://www.kosso.or.kr/general/board/list.html?num=72&start=0&sort=topdescnumdesc&code=general_03&key=&keyword=.
5.Chu SH., Lee MK., Kowalski J., Beck J., Schwertz D. Effect of estrogen on ovariectomy-induced obesity in rats. Journal of Korean Biological Nursing Science. 2008. 10(1):80–7.
6.Katznelson L., Finkelstenin Js., Schoenfeld DA., Rosenthal DI., Anderson EJ., Klibanski A. Increase in bone density and lean body mass during testosterone administration in men with acquired hypogonadism. Journal of Clinical Endocrinol Metabolic. 1996. 81:4358–65.
7.Oh HS., Si MJ., Oh HE. The effects of an obesity-management program on body composition, abdominal circumference, and lipid metabolism for middle-aged Obese women. Journal of Korean Biological Nursing Science. 2010. 12(2):89–96.
8.Kim DI. Relationships between walking, body mass index, and risk factors of metabolic syndrome among Korean adults: Data from the Fifth Korea National Health and Nutrition Examination Survey (2010-2012). The Korean Journal of Obesity. 2015. 24(2):108–15. http://dx.doi.org/10.7570/kjo.2015.24.2.108.
9.Kim CS. Factors affecting healthy weight control behavior among Air Force officers. and NCOs. Military Nursing Research. 2009. 27(2):53–68.
10.Bae KK. Analysis for obesity trend and related factors in South Korea Army: 2002-2008 medical examinations from National Health Insurance Corporation. [master's thesis]. Seoul: Seoul National University;2011.
11.Maeng SJ. A study on the heath beliefs and performance of healthy behaviors of some patients in the army hospitals: With a focus on officer patients. Military Nursing Research. 2008. 26(2):58–82.
12.Hwang HJ. Related factors to the health behaviors of military officers and non-commissioned officers. Military Nursing Research. 2007. 25(2):1–26.
13.Han SH. Relationship of cardiorespiratory fitness, body fatness variables and metabolic syndrome markers of career soldier in non-combat area. [master's thesis]. Daegu: Kyungpook National University;2012.
14.Ministry of National Defense. 2014 Defense White Paper [Internet]. Seoul: Ministry of National Defense;2014. [cited 2015 December 10]. Available from:. http://www.mnd.go.kr/cop/pblictn/selectPublicationUser.do?siteId=mnd&componentId=14&categoryId=0&publicationSeq=672&pageIndex=1&id=mnd_050601000000.
15.Yang SS. Too fat Army. The Chosun Ilbo. 2014 September 19. Sect. 16.
16.Park JH. Risk factors of obesity in the air force officers and NCOs. [master's thesis]. Seoul: Yonsei. University;2011.
17.Lee BS., Kim MY., Kim MH., Kim SK. Health belief and performance of health behaviors of some University students in Korea. Journal of Korean Academy of Nursing. 2000. 30(1):213–24.
18.Lee HS., Park JS. Development of a web-based obesity management program for elementary school students. The Journal of Korean Academic Society of Nursing Education. 2013. 19(2):215–27. http://dx.doi.org/10.5977/jkasne.2013.19.2.215.
19.Glanz K., Rimer BK., Viswanath K. editors. Health behavior and health education: Theory, research and practices. 4th ed.San Francisco: Jossey-Bass;2008.
20.Yang SJ., Jang SH., Kim SJ. Physical activities and health belief of elementary school students for obesity prevention and management among elementary school students. Journal of Korean Public Health Nursing. 2012. 26(2):227–38. http://dx.doi.org/10.5932/JKPHN.2012.26.2.227.
21.Jang JS., Woo CH., Kim CS. Analysis of related behavior and influencing factors of hypertension, diabetes mellitus, and hyperlipidemia prevalence of airmen. Military Nursing Research. 2015. 33(2):32–45.
22.Lee HK., Park YS., Kim HS., Beak SS., Ji HS. One university staff members'life styles, body mass indices, lipid profiles and plasma glucose levels. Journal of Korean Biological Nursing Science. 2011. 13(3):298–306.
23.Hu FB., Li TY., Colditz GA., Willett WC., Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003. 289:1785–91.
24.Park JY., Kim NH. The relationship between physical activity and insulin resistance in the middle-aged adults. Journal of Korean Biological Nursing Science. 2011. 13(3):245–52.
25.Park SB., Yun KW., Cho SJ. Expression of adipokines in obese adult and correlation with psychosocial factors. The Korean Journal of Obesity. 2005. 14(2):82–93.
26.Oh JK. Structural modeling of stress, life style and health status in industrial employees. Annals of Occupational and Environmental Medicine. 2000. 12(1):26–40.
27.Doo MA. Associations between subjective stress level, health-related habits, and obesity according to gender. The Korea Journal of Obesity. 2015. 24(3):156–65. http://dx.doi.org/10.7570/kjo.2015.24.3.156.
28.Korea Health Promotion Foundation. Global Forum on Tabacco Control 10th Anniversary of the WHO Framework Convention on Tabacco Control [Internet]. Seoul: Korea Health Promotion Foundation;2015. [cited 2015 December 1].http://www.khealth.or.kr/BoardType66.do?bid=61&mid=1&cmd=_view&dept=&bns=61&idx=8867.
29.Park JS. Health promotion; Theory and practice. Daegu: Keimyung University Press;2014. p. 1–374.
30.Lim YA., Lee KS., Cho YC. Relationship between life style and obesity indices in adults using data from health examination. Journal of the Korea Academia-Industrial Cooperation Society. 2015. 16(5):3242–56.
Table 1.
Obesity according to the General & Military-related Characteristics of the Korean Army Military Executive Members (N=1,026)
Table 2.
Obesity according to Life Style of the Korean Army Military Executive Members (N=1,026)
Table 3.
Obesity according to the Knowledge, Attitude and Behavior related to Obesity of the Korean Army Military Executive Members (N=1,026)
Table 4.
Predictors of Obesity for the Korean Army Military Executive Members (N=1,026)