Yang Yu1, Mary Lou Klem2, Melissa A Kalarchian3, Meihua Ji4, Lora E Burke5. 1. Department of Health and Community Sciences, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: yay60@pitt.edu. 2. Health Sciences Librarian, Health Sciences Library System, University of Pittsburgh, Pittsburgh, Pennsylvania. 3. School of Nursing, Duquesne University, Pittsburgh, Pennsylvania. 4. School of Nursing, Capital Medical University, Beijing, China. 5. Department of Health and Community Sciences, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania; Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Abstract
BACKGROUND: Sleeve gastrectomy (SG) is one of the most effective treatments for severe obesity, but weight regain after surgery is a challenging issue. The mechanism of postoperative weight relapse is barely understood because of the lack of long-term data. OBJECTIVES: To review and synthesize current evidence related to factors that contribute to weight regain after SG. METHODS: Whittemore and Knafl's integrative method guided the research. The databases PubMed, EMBASE, and CINAHL, as well as 2 selected journals, were searched through October 2018 to gather English-language journal articles on the potential predictors of post-SG weight regain among adult populations. Only articles with sample size ≥10 were included. A narrative synthesis was used to analyze the 17 studies included in the review. RESULTS: In recent years there has been an upward trend in the published reports of SG on longer-term outcomes. After a review of 6863 records, 17 eligible studies were identified, reporting various definitions of weight regain and 3 main categories of predictors: surgical/anatomic factors, hormonal/metabolic imbalance, and behavioral/mood factors. The 17 studies used quantitative (n = 16) and qualitative methods (n = 1). CONCLUSION: There is a dearth of available literature addressing predictors of weight regain after SG, and the inconsistency in the definition of regain limited the comparability between studies. Besides the surgical/anatomic factors that have been reported as significant predictors, other modifiable factors such as behavioral and psychosocial determinants need to be further investigated.
BACKGROUND: Sleeve gastrectomy (SG) is one of the most effective treatments for severe obesity, but weight regain after surgery is a challenging issue. The mechanism of postoperative weight relapse is barely understood because of the lack of long-term data. OBJECTIVES: To review and synthesize current evidence related to factors that contribute to weight regain after SG. METHODS: Whittemore and Knafl's integrative method guided the research. The databases PubMed, EMBASE, and CINAHL, as well as 2 selected journals, were searched through October 2018 to gather English-language journal articles on the potential predictors of post-SG weight regain among adult populations. Only articles with sample size ≥10 were included. A narrative synthesis was used to analyze the 17 studies included in the review. RESULTS: In recent years there has been an upward trend in the published reports of SG on longer-term outcomes. After a review of 6863 records, 17 eligible studies were identified, reporting various definitions of weight regain and 3 main categories of predictors: surgical/anatomic factors, hormonal/metabolic imbalance, and behavioral/mood factors. The 17 studies used quantitative (n = 16) and qualitative methods (n = 1). CONCLUSION: There is a dearth of available literature addressing predictors of weight regain after SG, and the inconsistency in the definition of regain limited the comparability between studies. Besides the surgical/anatomic factors that have been reported as significant predictors, other modifiable factors such as behavioral and psychosocial determinants need to be further investigated.
Authors: Giovanni Tomasicchio; Arcangelo Picciariello; Rigers Dibra; Giuliano Lantone; Giuseppe Trigiante; Michele De Fazio; Gennaro Martines Journal: Open Med (Wars) Date: 2022-03-09
Authors: Michelle M C Tan; Xingzhong Jin; Craig Taylor; Adrian K Low; Philip Le Page; David Martin; Ang Li; David Joseph; Nic Kormas Journal: J Clin Med Date: 2022-07-31 Impact factor: 4.964