Advances in Applied Psychology
Articles Information
Advances in Applied Psychology, Vol.3, No.2, Jun. 2018, Pub. Date: Jul. 26, 2018
The Long-Term Psychological Impact of Laparoscopic Adjustable Gastric Banding Surgery on Individuals Aged ≤ 49 and ≥ 50 Years
Pages: 19-28 Views: 1545 Downloads: 308
Authors
[01] Jude Hancock, Department of Diabetes and Endocrinology, North Bristol NHS Trust, Bristol, UK.
[02] Sue Jackson, Psychology Department, University of the West of England, Bristol, UK.
[03] Andrew Johnson, Department of Diabetes and Endocrinology, North Bristol NHS Trust, Bristol, UK.
Abstract
The laparoscopic adjustable gastric band [LAGB] is a form of bariatric surgery to assist individuals in losing weight when behavioural and dietary changes alone have been unsuccessful. There has been some debate about how age at time of surgery impacts on weight loss, but there is little known about the impact of age on psychological changes. As part of a longitudinal study exploring the impact of LAGB, 73 participants (aged between 30 and 74 years) were weighed and completed a number of validated psychometric scales seven times over a five year period. Individuals were split into two groups, those aged ≤ 49 and ≥50 years for analysis. Correlations between psychometric measures and Body Mass Index [BMI] at each time point indicated more significant correlations were present for individuals aged ≤ 49 years. Repeated-measures ANOVA exploring changes in BMI and psychological states from pre to five years post-LAGB indicate that BMI reduces and psychological difficulties improve in the years following surgery. These results suggest individuals aged ≤ 49 years have more psychological concerns regarding their weight that need addressing than individuals aged ≥ 50 years.
Keywords
Laparoscopic Adjustable Gastric Banding, Psychological, Age, Longitudinal
References
[01] Hancock, J., Jackson, S., & Johnson, A. B. (in press). The reasons for disclosing (or not) laparoscopic adjustable gastric banding surgery and the impact on long-term weight loss. Stigma and Health. doi: 10.1037/sah0000078
[02] Puhl, R. M., & Heuer, C. A. (2009). The stigma of obesity: a review and update. Obesity, 17 (5), 941-964. doi: 10.1038/oby.2008.636
[03] Waumsley, J. A. and the British Psychological Society Obesity working group. (2011). Obesity in the UK: A psychological perspective. Retrieved from http://www.bps.org.uk/sites/default/files/images/pat_rep95_obesity_web.pdf
[04] Flint, S. W. (2015). Obesity Stigma: Prevalence and impact in healthcare. British Journal of Obesity, 1 (1), 14-18. Retrieved from http://www.britishjournalofobesity.co.uk/resources/article_pdfs/2015-1-1-14.pdf
[05] Kendrick, M. L., & Dakin, G. F. (2006). Surgical approaches to obesity. Mayo Clinic Proceedings, 81 (10), S18-S24. doi: 10.1016/S0025-6196(11)61179-8
[06] Buchwald, H., Avidor, Y., Braunwald, E., Jensen, M. D., Pories, W., Fahrbach, K., & Schoelles, K. (2004). Bariatric surgery: a systematic review and meta-analysis. Jama, 292 (14), 1724-1737. doi: 10.1001/jama.292.14.1724
[07] Colquitt, J. L., Pickett, K., Loveman, E., Frampton, G. K. (2014). Surgery for weight loss in adults. Cochrane Database of Systematic Reviews, Issue 8. Art. No.: CD003641. doi: 10.1002/14651858.CD003641.pub4
[08] Butland, B., Jebb, S., Kopelman, P., McPherson, K., Thomas, S., Mardell, J., & Parry, V. (2007). Foresight. Tackling obesities: future choices – modelling future trends in obesity & their impact on health (2nd Ed.). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/295149/07-1662-obesity-modelling-trends.pdf
[09] Wing, R. R., Lang, W., Wadden, T. A., Safford, M., Knowler, W. C., Bertoni, A. G.,... & Look AHEAD Research Group. (2011). Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes. Diabetes Care, 34 (7), 1481-1486. doi: 10.2337/dc10-2415
[10] Magallares, A., & Schomerus, G. (2015). Mental and physical health-related quality of life in obese patients before and after bariatric surgery: a meta-analysis. Psychology, health & medicine, 20 (2), 165-176. doi: 10.1080/13548506.2014.963627
[11] Hancock, J., Jackson, S., & Johnson, A. B. (2016a). Five years on: A qualitative exploration of beliefs prior to and following gastric banding surgery. Journal of Obesity and Weight Management. Published online www.clytoaccess.com/articles/patients-beliefs-about-gastric-banding
[12] Hancock, J., Jackson, S., & Johnson, A. B. (2017a). The Importance of Dog Ownership Implications for Long-Term Weight Reduction After Gastric Banding. American Journal of Lifestyle Medicine, 11 (1), 86-89. doi: 10.1177/1559827615606668
[13] Wölnerhanssen, B. K., Peters, T., Kern, B., Schötzau, A., Ackermann, C., von Flüe, M., & Peterli, R. (2008). Predictors of outcome in treatment of morbid obesity by laparoscopic adjustable gastric banding: results of a prospective study of 380 patients. Surgery for Obesity and Related Diseases, 4 (4), 500-506. doi: 10.1016/j.soard.2008.03.252
[14] Lynch, J., & Belgaumkar, A. (2012). Bariatric surgery is effective and safe in patients over 55: a systematic review and meta-analysis. Obesity Surgery, 22 (9), 1507-1516. doi: 10.1007/s11695-012-0693-1
[15] Hancock, J., Jackson, S., & Johnson, A. B. (2016b). Under and over 50: Exploring long-term weight loss outcomes following laparoscopic adjustable gastric band by age and body mass index group. Surgery for Obesity and Related Diseases, 12 (8), 1616-1621. doi: 10.1016/j.soard.2016.05.027
[16] Fischer, S., Chen, E., Katterman, S., Roerhig, M., Bochierri-Ricciardi, L., Munoz, D.,... & Le Grange, D. (2007). Emotional eating in a morbidly obese bariatric surgery-seeking population. Obesity Surgery, 17 (6), 778-784. doi: 10.1007/s11695-007-9143-x
[17] Wang, Z., Yin, D., Derr, T. & Tang, J (2017). Understanding and predicting weight loss with mobile social networking data. In Proceedings of ACM Conference, Washington, DC, USA, July 2017 (Conference’17), 10 pages. DOI: 10.1145/nnnnnnn.nnnnnnn Retrieved from http://cse.msu.edu/~wangzh65/pub/cikm-17.pdf
[18] Cheng, H. G., & Phillips, M. R. (2014). Secondary analysis of existing data: opportunities and implementation. Shanghai archives of psychiatry, 26 (6), 371-375. doi: 10.11919/j.issn.1002-0829.214171
[19] Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67 (6), 361-370. doi: 10.1111/j.1600-0447.1983.tb09716.x
[20] Carr, T., Moss, T., & Harris, D. (2005). The DAS24: A short form of the Derriford Appearance Scale DAS59 to measure individual responses to living with problems of appearance. British Journal of Health Psychology, 10 (2), 285-298. doi: 10.1348/135910705X27613
[21] World Health Organization. (1996). WHOQOL-BREF: introduction, administration, scoring and generic version of the assessment: field trial version, December 1996. Retrieved from http://apps.who.int/iris/bitstream/10665/63529/1/WHOQOL-BREF.pdf
[22] The WHOQOL Group. (1998). Development of the World Health Organisation WHOQOL-BREF Quality of Life Assessment. Psychological Medicine, 28 (3), 551-558.
[23] Rumsey, N., Clarke, A., White, P., Wyn-Williams, M., & Garlick, W. (2004). Altered body image: appearance-related concerns of people with visible disfigurement. Journal of Advanced Nursing, 48 (5), 443-453. doi: 10.1111/j.1365-2648.2004.03227.x
[24] Moss, T. P., & Rosser, B. A. (2012). The moderated relationship of appearance valence on appearance self consciousness: development and testing of new measures of appearance schema components. PloS one, 7 (11), e50605. doi: 10.1371/journal.pone.0050605
[25] Hancock, J., Jackson, S., & Johnson, A. B. (2017b). Benefits of long-term digital support following bariatric surgery incorporating views from a patient advisory group. Obesity Surgery, 27 (7), 1884-1885. doi: 10.1007/s11695-017-2723-5
[26] NICE. (2014). Obesity: Identification, assessment and management of overweight and obesity in children, young people and adults. Retrieved from https://www.nice.org.uk/guidance/cg189
[27] Grbich, C. (1999). Qualitative research in health. London: Sage
[28] Busetto, L., Mozzi, E., Schettino, A. M., Furbetta, F., Giardiello, C., Micheletto, G.,... & for Lap-Band, I. G. (2015). Three years durability of the improvements in health-related quality of life observed after gastric banding. Surgery for Obesity and Related Diseases, 11 (1), 110-117. doi: 10.1016/j.soard.2014.04.016
[29] Shao, J., & Zhong, B. (2003). Last observation carried forward and last observation analysis. Statistics in Medicine, 22 (15), 2429-41. doi: 10.1002/sim.1519
[30] Field, A. (2009). Discovering statistics using SPSS. London: Sage publications
[31] Ellis, P. D. (2010). The essential guide to effect sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Cambridge, England, UK: Cambridge University Press
[32] Hedges, L. V. (1981). Distribution theory for Glass’ estimator of effect size and related estimators. Journal of Educations Statistics, 6 (2), 107-128. doi: 10.3102/10769986006002107
[33] English, T., & Carstensen, L. L. (2014). Selective narrowing of social networks across adulthood is associated with improved emotional experience in daily life. International Journal of Behavioral Development, 38 (2), 195-202. doi: 10.1177/0165025413515404
[34] Lee, D. M., Nazroo, J., O’Connor, D. B., Blake, M., & Pendleton, N. (2016). Sexual health and well-being among older men and women in England: findings from the English Longitudinal Study of Ageing. Archives of Sexual Behavior, 45 (1), 133-144. doi: 10.1007/s10508-014-0465-1
[35] Rowland, T. A., & Rao, C. (2017). The NHS and Private Healthcare. In: Fisher R., Ahmed K., Dasgupta P. (Eds.) Introduction to Surgery for Students. (pp. 389-385). Springer, Cham. doi: 10.1007/978-3-319-43210-6_31
[36] Armour, B. S., Courtney-Long, E., Campbell, V. A., & Wethington, H. R. (2012). Peer Reviewed: Estimating Disability Prevalence Among Adults by Body Mass Index: 2003–2009 National Health Interview Survey. Preventing Chronic Disease, 9. doi: 10.5888/pcd9.120136
[37] Backholer, K., Wong, E., Freak‐Poli, R., Walls, H. L., & Peeters, A. (2012). Increasing body weight and risk of limitations in activities of daily living: a systematic review and meta‐analysis. Obesity Reviews, 13 (5), 456-468. doi: 10.1111/j.1467-789X.2011.00970.x
[38] Homer, C. V., Tod, A. M., Thompson, A. R., Allmark, P., & Goyder, E. (2016). Expectations and patients’ experiences of obesity prior to bariatric surgery: a qualitative study. BMJ open, 6 (2), e009389. doi: 10.1136/bmjopen-2015- 009389
[39] Kaly, P., Orellana, S., Torrella, T., Takagishi, C., Saff-Koche, L., & Murr, M. M. (2008). Unrealistic weight loss expectations in candidates for bariatric surgery. Surgery for Obesity and Related Diseases, 4 (1), 6-10. doi: 10.1016/j.soard.2007.10.012
[40] Mathus-Vliegen, E. M., de Weerd, S., & de Wit, L. T. (2004). Health-related quality-of-life in patients with morbid obesity after gastric banding for surgically induced weight loss. Surgery, 135 (5), 489-497. doi: 10.1016/j.surg.2004.01.007
[41] Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implementation Science, 4 (1), 50. doi: 10.1186/1748-5908-4-50
[42] Zwarenstein, M., Treweek, S., Gagnier, J. J., Altman, D. G., Tunis, S., Haynes, B.,... & Moher, D. (2008). Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ, 337, a2390. doi: 10.1136/bmj.a2390
600 ATLANTIC AVE, BOSTON,
MA 02210, USA
+001-6179630233
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.