비만치료에 있어서 감량 후 체중 유지에 영향을 주는 요인에 관한 고찰

• 영문명: Review on Predictors of Weight Loss Maintenance after Successful Weight Loss in Obesity Treatment
• 발행기관: 한방비만학회
• 저자명: 권유경(Yu-Kyung Kwon) 김서영(Seo-Young Kim) 임영우(Young-Woo Lim) 박영배(Young-Bae Park)
• 간행물 정보: 『대한한방비만학회지』제19권 2호, 119~136쪽, 전체 18쪽
• 주제분류: 의약학 > 한의학
• 파일형태: PDF
• 발행일자: 2019.12.31

영문 초록

Objectives: People often fail to maintain their weight even though they have succeeded in weight loss. The purpose of this study was to review previously published study results with regards to the predictive factors associated with weight loss maintenance after successful weight loss. Methods: The authors searched for the articles related to weight loss maintenance after successful weight loss, published up until June 2019 on PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Research Information Sharing Service (RISS), and Koreanstudies Information Service System (KISS). A total of 76 articles were finally selected. From the study results, changeable and unchangeable predictors were extracted, and these predictors were examined according to detailed categories. Results: The changeable predictors of weight loss maintenance included behavioral factors, psychological factors and treatment process-related factors, whereas the unchangeable predictors included genetic and physiological factors, demographic factors, history of treatment on obesity-related factors. The main factors of weight loss maintenance were changeable predictors such as healthy eating habits, dietary intake control, binge eating control, regular exercise and physical activity, depression and stress control, social supports, self-regulation, self-weighing and initial weight loss and unchangeable predictors such as low initial weight and maximum lifetime weight. Conclusions: The results of our review results suggest that changeable and unchangeable predictors of weight loss maintenance should be carefully examined during treatments of obesity.

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키워드

Weight loss maintenance Weight regain Predictors Factors