Adherence to Dietary Behavior Recommendations Moderates the Effect Between Time Since Metabolic and Bariatric Surgery and Percentage Total Weight Loss.
%TWL
Adherence
Dietary Behavior
Interaction Effect
Lifestyle
MBS
Moderation Analysis
Rebound
Journal
Obesity surgery
ISSN: 1708-0428
Titre abrégé: Obes Surg
Pays: United States
ID NLM: 9106714
Informations de publication
Date de publication:
18 Jun 2024
18 Jun 2024
Historique:
received:
17
01
2024
accepted:
07
06
2024
revised:
05
06
2024
medline:
19
6
2024
pubmed:
19
6
2024
entrez:
18
6
2024
Statut:
aheadofprint
Résumé
Metabolic and bariatric surgery (MBS) is the gold standard in treating severe obesity. Previous research implies that different psychological and behavior-related factors might be critical for MBS' sustained success. Yet adherence to dietary behavior recommendations and its impact on weight development is rarely examined. This study investigated the relationship between adherence to dietary behavior recommendations and the percentage of total weight loss (%TWL) after MBS. This study is a cohort study (acquisition in Germany). N = 485 patients after MBS, being in grade III of obesity (body mass index (BMI) ≥ 40 kg/m BMI pre-MBS, type of MBS, age, regularity of physical activity, and depression symptoms were identified as significant covariates of %TWL and adherence. Within 6 months after MBS, adherence seems to peak, F After MBS, adherence to dietary behavior recommendations seems crucial for maximizing its success. Implications for the optimization of MBS' success in aftercare management arise. In particular, behavior modification interventions should be routinely implemented.
Identifiants
pubmed: 38890217
doi: 10.1007/s11695-024-07359-2
pii: 10.1007/s11695-024-07359-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
World Health Organization. Obesity and overweight. 2023. https://cdn.who.int/media/docs/default-source/healthy-diet/healthy-diet-fact-sheet-394.pdf?sfvrsn=69f1f9a1_2&download=true . Accessed 7 Jun 2023.
Kluge HHP. WHO European regional obesity report 2022. Copenhagen: World Health Organization; 2022.
Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i-xii, 1–253.
Eisenberg D, Shikora SA, Aarts E, et al. 2022 American Society of Metabolic and Bariatric Surgery (ASMBS) and International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) indications for metabolic and bariatric surgery. Obes Surg. 2023;33:3–14. https://doi.org/10.1007/s11695-022-06332-1 .
doi: 10.1007/s11695-022-06332-1
pubmed: 36336720
Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie (DGAV). S3-Leitlinie: Chirurgie der Adipositas und metabolischer Erkrankungen. 2018. https://www.awmf.org/uploads/tx_szleitlinien/088-001l_S3_Chirurgie-Adipositas-metabolische-Erkrankugen_2018-02.pdf . Accessed 4 Jun 2024
Angrisani L, Santonicola A, Iovino P, et al. Bariatric surgery survey 2018: similarities and disparities among the 5 IFSO chapters. Obes Surg. 2021;31:1937–48. https://doi.org/10.1007/s11695-020-05207-7 .
doi: 10.1007/s11695-020-05207-7
pubmed: 33432483
pmcid: 7800839
Bastos ECL, Barbosa EMWG, Soriano GMS, et al. Determinants of weight regain after bariatric surgery. Arq Bras Cir Dig. 2013;26(Suppl 1):26–32. https://doi.org/10.1590/s0102-67202013000600007 .
doi: 10.1590/s0102-67202013000600007
pubmed: 24463895
El Ansari W, Elhag W. Weight regain and insufficient weight loss after bariatric surgery: definitions, prevalence, mechanisms, predictors, prevention and management strategies, and knowledge gaps-a scoping review. Obes Surg. 2021;31:1755–66. https://doi.org/10.1007/s11695-020-05160-5 .
doi: 10.1007/s11695-020-05160-5
pubmed: 33555451
pmcid: 8012333
Noria SF, Shelby RD, Atkins KD, et al. Weight regain after bariatric surgery: scope of the problem, causes, prevention, and treatment. Curr Diab Rep. 2023;23:31–42. https://doi.org/10.1007/s11892-023-01498-z .
doi: 10.1007/s11892-023-01498-z
pubmed: 36752995
pmcid: 9906605
Gadde KM, Martin CK, Berthoud H-R, et al. Obesity: pathophysiology and management. J Am Coll Cardiol. 2018;71:69–84. https://doi.org/10.1016/j.jacc.2017.11.011 .
doi: 10.1016/j.jacc.2017.11.011
pubmed: 29301630
pmcid: 7958889
Marsall M, Bäuerle A, Hasenberg T, et al. Quality of Care transition during hospital discharge, patient safety, and weight regain after bariatric surgery: a cross-sectional study. Obes Surg. 2023;33:1143–53. https://doi.org/10.1007/s11695-023-06486-6 .
doi: 10.1007/s11695-023-06486-6
pubmed: 36773181
pmcid: 10079752
Masood A, Alsheddi L, Alfayadh L, et al. Dietary and lifestyle factors serve as predictors of successful weight loss maintenance postbariatric surgery. J Obes. 2019;2019:7295978. https://doi.org/10.1155/2019/7295978 .
doi: 10.1155/2019/7295978
pubmed: 30891313
pmcid: 6390255
Sarwer DB, Dilks RJ, West-Smith L. Dietary intake and eating behavior after bariatric surgery: threats to weight loss maintenance and strategies for success. Surg Obes Relat Dis. 2011;7:644–51. https://doi.org/10.1016/j.soard.2011.06.016 .
doi: 10.1016/j.soard.2011.06.016
pubmed: 21962227
Marijn Stok F, Renner B, Allan J, et al. Dietary behavior: an interdisciplinary conceptual analysis and taxonomy. Front Psychol. 2018;9:1689. https://doi.org/10.3389/fpsyg.2018.01689 .
doi: 10.3389/fpsyg.2018.01689
pubmed: 30298030
pmcid: 6160746
Devlin MJ, King WC, Kalarchian MA, et al. Eating pathology and associations with long-term changes in weight and quality of life in the longitudinal assessment of bariatric surgery study. Int J Eat Disord. 2018;51:1322–30. https://doi.org/10.1002/eat.22979 .
doi: 10.1002/eat.22979
pubmed: 30520527
pmcid: 6876117
Mitchell JE, Christian NJ, Flum DR, et al. Postoperative behavioral variables and weight change 3 years after bariatric surgery. JAMA Surg. 2016;151:752–7. https://doi.org/10.1001/jamasurg.2016.0395 .
doi: 10.1001/jamasurg.2016.0395
pubmed: 27096225
pmcid: 5877401
Bäuerle A, Schräpler L, Marsall M, et al. Development and validation of dietary behavior inventory-surgery (DBI-S) in the scope of International post-bariatric surgery guidelines and recommendations. Nutrients. 2022. https://doi.org/10.3390/nu14183692 .
doi: 10.3390/nu14183692
pubmed: 36145070
pmcid: 9504912
Tivian XI GmbH. Unipark: EFS survey. Köln.
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum; 1988.
Kroenke K, Strine TW, Spitzer RL, et al. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009;114:163–73. https://doi.org/10.1016/j.jad.2008.06.026 .
doi: 10.1016/j.jad.2008.06.026
pubmed: 18752852
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2022.
RStudio Team. RStudio: integrated development environment for R. PBC, Boston, MA: RStudio. 2022.
Schienkiewitz A, Kuhnert R, Blume M, Mensink GB. Übergewicht und Adipositas bei Erwachsenen in Deutschland - Ergebnisse der Studie GEDA 2019/2020-EHIS 2022. https://doi.org/10.25646/10292 .
Sabench Pereferrer F, Molina López A, VivesEspelta M, et al. Weight loss analysis according to different formulas after sleeve gastrectomy with or without antral preservation: a randomised study. Obes Surg. 2017;27:1254–60. https://doi.org/10.1007/s11695-016-2454-z .
doi: 10.1007/s11695-016-2454-z
pubmed: 27995517
Cohen J. Statistical power analysis. Curr Dir Psychol Sci. 1992;1:98–101. https://doi.org/10.1111/1467-8721.ep10768783 .
doi: 10.1111/1467-8721.ep10768783
Magro DO, Geloneze B, Delfini R, et al. Long-term weight regain after gastric bypass: a 5-year prospective study. Obes Surg. 2008;18:648–51. https://doi.org/10.1007/s11695-007-9265-1 .
doi: 10.1007/s11695-007-9265-1
pubmed: 18392907
Kim BI, Cochrane NH, O’Donnell JA, et al. Preoperative weight loss and postoperative weight gain independently increase risk for revision after primary total knee arthroplasty. J Arthroplasty. 2022;37:674–82. https://doi.org/10.1016/j.arth.2021.12.003 .
doi: 10.1016/j.arth.2021.12.003
pubmed: 34915131
Mingrone G, Bornstein S, Le Roux CW. Optimisation of follow-up after metabolic surgery. Lancet Diabetes Endocrinol. 2018;6:487–99. https://doi.org/10.1016/S2213-8587(17)30434-5 .
doi: 10.1016/S2213-8587(17)30434-5
pubmed: 29396249
Willett WC. Crystal ball: Walter Willett. Eur J Clin Nutr. 2019;73:491–4. https://doi.org/10.1038/s41430-018-0279-7 .
doi: 10.1038/s41430-018-0279-7
pubmed: 30097649
Burgess E, Hassmén P, Pumpa KL. Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review. Clin Obes. 2017;7:123–35. https://doi.org/10.1111/cob.12183 .
doi: 10.1111/cob.12183
pubmed: 28296261
Herman KM, Carver TE, Christou NV, et al. Keeping the weight off: physical activity, sitting time, and weight loss maintenance in bariatric surgery patients 2 to 16 years postsurgery. Obes Surg. 2014;24:1064–72. https://doi.org/10.1007/s11695-014-1212-3 .
doi: 10.1007/s11695-014-1212-3
pubmed: 24682779
Sakran N, Soued S, Hod K, et al. Long-term matched comparison of primary and revisional laparoscopic sleeve gastrectomy. Obes Surg. 2023;33:695–705. https://doi.org/10.1007/s11695-022-06436-8 .
doi: 10.1007/s11695-022-06436-8
pubmed: 36595147
pmcid: 9809525
Tu Y, Pan Y, Han J, et al. A total weight loss of 25% shows better predictivity in evaluating the efficiency of bariatric surgery. Int J Obes. 2021;45:396–403. https://doi.org/10.1038/s41366-020-00690-5 .
doi: 10.1038/s41366-020-00690-5
Alberga AS, Sigal RJ, Sweet SN, et al. Understanding low adherence to an exercise program for adolescents with obesity: the HEARTY trial. Obes Sci Pract. 2019;5:437–48. https://doi.org/10.1002/osp4.357 .
doi: 10.1002/osp4.357
pubmed: 31687168
pmcid: 6819972
Cleff T. Regressionsanalyse. In: Cleff T, editor. Deskriptive Statistik und moderne Datenanalyse. Wiesbaden: Gabler Verlag. 2012. p. 147–185. https://doi.org/10.1007/978-3-8349-7071-8_5 .
Hootsuite, We Are Social. Digital 2022 Report: 72,6 Millionen Deutsche nutzen Social Media. 2022. https://wearesocial.com/de/blog/2022/02/digital-2022-report-726-millionen-deutsche-nutzen-social-media/ . Accessed 24 Feb 2023.
Chung W, Kim R. A Reversal of the association between education level and obesity risk during ageing: a gender-specific longitudinal study in South Korea. Int J Environ Res Public Health. 2020. https://doi.org/10.3390/ijerph17186755 .
doi: 10.3390/ijerph17186755
pubmed: 33379287
pmcid: 7795620