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Obesity is a significant public health concern which is implicated in cardiometabolic disease, mechanical complications and psychiatric sequelae. BMI is currently used for diagnosis; however, it has limited sensitivity for adiposity in certain circumstances. This has led to the development of risk stratification tools like the Edmonton Staging criteria and the Kings Obesity Staging Criteria: these facilitate and guide comprehensive obesity-related complication assessment. Healthcare professionals working within obesity clinics should adopt evidence-based communication strategies, including shared decision-making, motivational interviewing, and realistic goal setting. It is also vital to avoid weight-stigmatising terminology in all aspects of care, as this can negatively impact patients. Primary care plays an essential part in obesity care and should work to promptly identify cases, initiate treatment and forward on to specialist services where appropriate. Clinical evaluation of the patient living with obesity should take a holistic approach and involve input from bariatric physicians, dietitians, psychologists, and bariatric surgeons, wider members of the multi-disciplinary team should be involved where needed. Clinicians should take a detailed history, examination and order laboratory tests to investigate for complications. Overall, with appropriate evaluation, these assessments can guide patient management and facilitate long-term improvement in health.

Titel:	Clinical evaluation of patients living with obesity.
Autor/in / Beteiligte Person:	Dobbie, LJ ; Coelho, C ; Crane, J ; McGowan, B
Link:	Full Text Finder (Volltext)
Zeitschrift:	Internal and emergency medicine, Jg. 18 (2023-08-01), Heft 5, S. 1273-1285
Veröffentlichung:	Milan : Springer ; <i>Original Publication</i>: Rome, Italy : CEPI-AIM Group, 2006-, 2023
Medientyp:	academicJournal
ISSN:	1970-9366 (electronic)
DOI:	10.1007/s11739-023-03263-2
Schlagwort:	Humans Obesity complications Patients
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Review Language: English [Intern Emerg Med] 2023 Aug; Vol. 18 (5), pp. 1273-1285. <i>Date of Electronic Publication: </i>2023 Apr 29. MeSH Terms: Obesity* / complications ; Patients* ; Humans References: Ansari S, Haboubi H, Haboubi N (2020) Adult obesity complications: challenges and clinical impact. Ther Adv Endocrinol Metab. https://doi.org/10.1177/2042018820934955. (PMID: 10.1177/2042018820934955326128037309384) ; World Health Organization. Obesity and overweight n.d. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight . Accessed 13 Jan 2023. ; Statistics - EASO n.d. https://easo.org/media-portal/statistics/ . Accessed 13 Dec 2022. ; Wilding JPH, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I et al (2021) Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med 384:989–1002. https://doi.org/10.1056/nejmoa2032183. (PMID: 10.1056/nejmoa203218333567185) ; Crane JD, McGowan BM. Clinical assessment of the patient with overweight or obesity 2017:1–27. https://doi.org/10.1007/978-3-319-47685-8_19-1 . ; Nuttall FQ (2015) Body mass index: obesity, bmi, and health: a critical review. Nutr Today 50:117–128. https://doi.org/10.1097/NT.0000000000000092. (PMID: 10.1097/NT.0000000000000092273402994890841) ; MacMahon S, Baigent C, Duffy S, Rodgers A, Tominaga S, Chambless L et al (2009) Body-mass index and cause-specific mortality in 900 000 adults: Collaborative analyses of 57 prospective studies. Lancet 373:1083–1096. https://doi.org/10.1016/S0140-6736(09)60318-4. (PMID: 10.1016/S0140-6736(09)60318-4) ; Berrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, et al. Body-Mass Index and Mortality among 1.46 Million White Adults. N Engl J Med 2010;363:2211–9. https://doi.org/10.1056/nejmoa1000367 . ; Colditz GA, Willett WC, Rotnitzky A, Manson JE (1995) Weight gain as a risk factor for clinical diabetes mellitus in women. Ann Intern Med 122:481–486. https://doi.org/10.7326/0003-4819-122-7-199504010-00001. (PMID: 10.7326/0003-4819-122-7-199504010-000017872581) ; Eliassen AH, Colditz GA, Rosner B, Willett WC, Hankinson SE (2006) Adult weight change and risk of postmenopausal breast cancer. JAMA 296:193–201. https://doi.org/10.1001/JAMA.296.2.193. (PMID: 10.1001/JAMA.296.2.19316835425) ; Bray GA, Heisel WE, Afshin A, Jensen MD, Dietz WH, Long M et al (2018) The science of obesity management: an endocrine society scientific statement. Endocr Rev 39:79–132. https://doi.org/10.1210/er.2017-00253. (PMID: 10.1210/er.2017-00253295182065888222) ; Okorodudu DO, Jumean MF, Montori VM, Romero-Corral A, Somers VK, Erwin PJ et al (2010) Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes 34:791–799. https://doi.org/10.1038/ijo.2010.5. (PMID: 10.1038/ijo.2010.5) ; Wellens RI, Roche AF, Khamis HJ, Jackson AS, Pollock ML, Siervogel RM (1996) Relationships between the Body Mass Index and body composition. Obes Res 4:35–44. https://doi.org/10.1002/j.1550-8528.1996.tb00510.x. (PMID: 10.1002/j.1550-8528.1996.tb00510.x8787936) ; Kontogianni MD, Panagiotakos DB, Skopouli FN (2005) Does body mass index reflect adequately the body fat content in perimenopausal women? Maturitas 51:307–313. https://doi.org/10.1016/j.maturitas.2004.08.014. (PMID: 10.1016/j.maturitas.2004.08.01415978975) ; Welborn TA, Dhaliwal SS, Bennett SA (2003) Waist-hip ratio is the dominant risk factor predicting cardiovascular death in Australia. Med J Aust 179:580–585. https://doi.org/10.5694/j.1326-5377.2003.tb05704.x. (PMID: 10.5694/j.1326-5377.2003.tb05704.x14636121) ; Janssen I, Katzmarzyk PT, Ross R (2002) Body mass index, waist circumference, and health risk: evidence in support of current National Institutes of Health guidelines. Arch Intern Med 162:2074–2079. https://doi.org/10.1001/archinte.162.18.2074. (PMID: 10.1001/archinte.162.18.207412374515) ; Lawlor DA, Davey Smith G, Ebrahim S (2003) Life course influences on insulin resistance: findings from the British Women’s Heart and Health Study. Diabetes Care 26:97–103. https://doi.org/10.2337/diacare.26.1.97. (PMID: 10.2337/diacare.26.1.9712502664) ; Wormser D, Kaptoge S, Di Angelantonio E, Wood AM, Pennells L, Thompson A et al (2011) Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: Collaborative analysis of 58 prospective studies. Lancet 377:1085–1095. https://doi.org/10.1016/S0140-6736(11)60105-0. (PMID: 10.1016/S0140-6736(11)60105-021397319) ; Daniel S, Soleymani T, Garvey WT (2013) A complications-based clinical staging of obesity to guide treatment modality and intensity. Curr Opin Endocrinol Diabetes Obes 20:377–388. https://doi.org/10.1097/01.med.0000433067.01671.f5. (PMID: 10.1097/01.med.0000433067.01671.f5239747644139285) ; Dobbie LJ, Tahrani A, Alam U, James J, Wilding J, Cuthbertson DJ (2021) Exercise in obesity—the role of technology in health services: can this approach work? Curr Obes Rep. https://doi.org/10.1007/s13679-021-00461-x. (PMID: 10.1007/s13679-021-00461-x347916118597870) ; Sharma AM, Kushner RF (2009) A proposed clinical staging system for obesity. Int J Obes 33:289–295. https://doi.org/10.1038/ijo.2009.2. (PMID: 10.1038/ijo.2009.2) ; Canning KL, Brown RE, Wharton S, Sharma AM, Kuk JL (2015) Edmonton obesity staging system prevalence and association with weight loss in a publicly funded referral-based obesity clinic. J Obes. https://doi.org/10.1155/2015/619734. (PMID: 10.1155/2015/619734260605804427774) ; Padwal RS, Pajewski NM, Allison DB, Sharma AM (2011) Using the Edmonton obesity staging system to predict mortality in a population-representative cohort of people with overweight and obesity. CMAJ. https://doi.org/10.1503/CMAJ.110387. (PMID: 10.1503/CMAJ.110387218441113185097) ; Aasheim ET, Aylwin SJB, Radhakrishnan ST, Sood AS, Jovanovic A, Olbers T et al (2011) Assessment of obesity beyond body mass index to determine benefit of treatment. Clin Obes 1:77–84. https://doi.org/10.1111/J.1758-8111.2011.00017.X. (PMID: 10.1111/J.1758-8111.2011.00017.X25585572) ; Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J et al (2008) The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999–2004). Arch Intern Med 168:1617–1624. https://doi.org/10.1001/ARCHINTE.168.15.1617. (PMID: 10.1001/ARCHINTE.168.15.161718695075) ; Zembic A, Eckel N, Stefan N, Baudry J, Schulze MB (2021) An empirically derived definition of metabolically healthy obesity based on risk of cardiovascular and total mortality. JAMA Netw Open. https://doi.org/10.1001/jamanetworkopen.2021.8505. (PMID: 10.1001/jamanetworkopen.2021.8505339610368105750) ; Dobson R, Burgess MI, Sprung VS, Irwin A, Hamer M, Jones J et al (2016) Metabolically healthy and unhealthy obesity: differential effects on myocardial function according to metabolic syndrome, rather than obesity. Int J Obes 40:153–161. https://doi.org/10.1038/ijo.2015.151. (PMID: 10.1038/ijo.2015.151) ; Mørkedal B, Vatten LJ, Romundstad PR, Laugsand LE, Janszky I (2014) Risk of myocardial infarction and heart failure among metabolically healthy but obese individuals: HUNT (Nord-Trøndelag Health Study). Norway J Am Coll Cardiol 63:1071–1078. https://doi.org/10.1016/j.jacc.2013.11.035. (PMID: 10.1016/j.jacc.2013.11.03524345592) ; Porter SA, Massaro JM, Hoffmann U, Vasan RS, O’Donnel CJ, Fox CS (2009) Abdominal subcutaneous adipose tissue: a protective fat depot? Diabetes Care 32:1068–1075. https://doi.org/10.2337/dc08-2280. (PMID: 10.2337/dc08-2280192440872681034) ; Britton KA, Massaro JM, Murabito JM, Kreger BE, Hoffmann U, Fox CS (2013) Body fat distribution, incident cardiovascular disease, cancer, and all-cause mortality. J Am Coll Cardiol 62:921–925. https://doi.org/10.1016/j.jacc.2013.06.027. (PMID: 10.1016/j.jacc.2013.06.027238509224142485) ; Kushner RF (2012) Clinical assessment and management of adult obesity. Circulation 126:2870–2877. https://doi.org/10.1161/CIRCULATIONAHA.111.075424. (PMID: 10.1161/CIRCULATIONAHA.111.07542423230316) ; Dicker D, Alfadda AA, Coutinho W, Cuevas A, Halford JCG, Hughes CA et al (2021) Patient motivation to lose weight: importance of healthcare professional support, goals and self-efficacy. Eur J Intern Med 91:10–16. https://doi.org/10.1016/j.ejim.2021.01.019. (PMID: 10.1016/j.ejim.2021.01.01933558163) ; Tucker S, Bramante C, Conroy M, Fitch A, Gilden A, Wittleder S et al (2021) The most undertreated chronic disease: addressing obesity in primary care settings. Curr Obes Rep 10:396–408. https://doi.org/10.1007/s13679-021-00444-y. (PMID: 10.1007/s13679-021-00444-y342973438300078) ; Armstrong MJ, Mottershead TA, Ronksley PE, Sigal RJ, Campbell TS, Hemmelgarn BR (2011) Motivational interviewing to improve weight loss in overweight and/or obese patients: a systematic review and meta-analysis of randomized controlled trials. Obes Rev 12:709–723. https://doi.org/10.1111/J.1467-789X.2011.00892.X. (PMID: 10.1111/J.1467-789X.2011.00892.X21692966) ; Bessell E, Markovic TP, Fuller NR (2021) How to provide a structured clinical assessment of a patient with overweight or obesity. Diabetes, Obes Metab 23:36–49. https://doi.org/10.1111/dom.14230. (PMID: 10.1111/dom.1423033621413) ; Hopkins CM, Bennett GG (2018) Weight-related terms differentially affect self-efficacy and perception of obesity. Obesity 26:1405–1411. https://doi.org/10.1002/OBY.22255. (PMID: 10.1002/OBY.2225530226011) ; Dutton GR, Tan F, Perri MG, Stine CC, Dancer-Brown M, Goble M et al (2010) What words should we use when discussing excess weight? J Am Board Fam Med 23:606–613. https://doi.org/10.3122/JABFM.2010.05.100024. (PMID: 10.3122/JABFM.2010.05.10002420823355) ; Talumaa B, Brown A, Batterham RL, Kalea AZ (2022) Effective strategies in ending weight stigma in healthcare. Obes Rev 23:e13494. https://doi.org/10.1111/OBR.13494. (PMID: 10.1111/OBR.13494359340119540781) ; Jastreboff AM, Aronne LJ, Ahmad NN, Wharton S, Connery L, Alves B et al (2022) Tirzepatide once weekly for the treatment of obesity. N Engl J Med 387:205–216. https://doi.org/10.1056/NEJMOA2206038/SUPPL_FILE/NEJMOA2206038_DATA-SHARING.PDF. (PMID: 10.1056/NEJMOA2206038/SUPPL_FILE/NEJMOA2206038_DATA-SHARING.PDF35658024) ; Irving G, Neves AL, Dambha-Miller H, Oishi A, Tagashira H, Verho A et al (2017) International variations in primary care physician consultation time: a systematic review of 67 countries. BMJ Open 7:1–15. https://doi.org/10.1136/bmjopen-2017-017902. (PMID: 10.1136/bmjopen-2017-017902) ; Ogden J, Stavrinaki M, Stubbs J (2009) Understanding the role of life events in weight loss and weight gain. Psychol Health Med 14:239–249. https://doi.org/10.1080/13548500802512302. (PMID: 10.1080/1354850080251230219235083) ; Ryan DH, Yockey SR (2017) Weight loss and improvement in comorbidity: differences at 5%, 10%, 15%, and over. Curr Obes Rep 6:187–194. https://doi.org/10.1007/s13679-017-0262-y. (PMID: 10.1007/s13679-017-0262-y284556795497590) ; Neter JE, Stam BE, Kok FJ, Grobbee DE, Geleijnse JM. Influence of weight reduction on blood pressure: a meta-analysis of randomized controlled trials. Hypertens (Dallas, Tex 1979) 2003;42:878–84. https://doi.org/10.1161/01.HYP.0000094221.86888.AE . ; Stevens VJ, Obarzanek E, Cook NR, Lee IM, Appel LJ, West DS et al (2001) Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II. Ann Intern Med 134:1–11. https://doi.org/10.7326/0003-4819-134-1-200101020-00007. (PMID: 10.7326/0003-4819-134-1-200101020-0000711187414) ; Daniels LB, Clopton P, Bhalla V, Krishnaswamy P, Nowak RM, McCord J et al (2006) How obesity affects the cut-points for B-type natriuretic peptide in the diagnosis of acute heart failure. Results from the Breathing Not Properly Multinational Study. Am Heart J 151:992–998. https://doi.org/10.1016/J.AHJ.2005.10.011. (PMID: 10.1016/J.AHJ.2005.10.011) ; Bramante CT, Raatz S, Bomberg EM, Oberle MM, Ryder JR (2020) Cardiovascular risks and benefits of medications used for weight loss. Front Endocrinol (Lausanne) 10:883. https://doi.org/10.3389/FENDO.2019.00883/BIBTEX. (PMID: 10.3389/FENDO.2019.00883/BIBTEX32010059) ; Hamman RF, Wing RR, Edelstein SL, Lachin JM, Bray GA, Delahanty L et al (2006) Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care 29:2102–2107. https://doi.org/10.2337/DC06-0560. (PMID: 10.2337/DC06-056016936160) ; Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW et al (2018) Behavioral weight loss interventions to prevent obesity-related morbidity and mortality in adults: us preventive services task force recommendation statement. JAMA 320:1163–1171. https://doi.org/10.1001/JAMA.2018.13022. (PMID: 10.1001/JAMA.2018.1302230326502) ; Cosentino F, Grant PJ, Aboyans V, Bailey CJ, Ceriello A, Delgado V et al (2020) 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J 41:255–323. https://doi.org/10.1093/eurheartj/ehz486. (PMID: 10.1093/eurheartj/ehz48631497854) ; Dobbie LJ, Pittam B, Zhao SS, Alam U, Hydes TJ, Barber TM, Cuthbertson DJ. Childhood, adolescent, and adulthood adiposity are associated with risk of PCOS: a Mendelian randomization study with meta-analysis. Hum Reprod. 2023:dead053. https://doi.org/10.1093/humrep/dead053 . ; Conway G, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Franks S, Gambineri A et al (2014) The polycystic ovary syndrome: a position statement from the European Society of Endocrinology. Eur J Endocrinol 171:P1-29. https://doi.org/10.1530/EJE-14-0253. (PMID: 10.1530/EJE-14-025324849517) ; Calderón B, Galdón A, Calañas A, Peromingo R, Galindo J, García-Moreno F et al (2014) Effects of bariatric surgery on male obesity-associated secondary hypogonadism: comparison of laparoscopic gastric bypass with restrictive procedures. Obes Surg 24:1686–1692. https://doi.org/10.1007/S11695-014-1233-Y. (PMID: 10.1007/S11695-014-1233-Y24664512) ; Dibaise JK, Foxx-Orenstein AE (2013) Role of the gastroenterologist in managing obesity. Expert Rev Gastroenterol Hepatol 7:439–451. https://doi.org/10.1586/17474124.2013.811061. (PMID: 10.1586/17474124.2013.81106123899283) ; Pang Q, Zhang JY, Song SD, Qu K, Xu XS, Liu SS et al (2015) Central obesity and nonalcoholic fatty liver disease risk after adjusting for body mass index. World J Gastroenterol 21:1650. https://doi.org/10.3748/WJG.V21.I5.1650. (PMID: 10.3748/WJG.V21.I5.1650256637864316109) ; Quek J, Chan KE, Wong ZY, Tan C, Tan B, Lim WH et al (2022) Global prevalence of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in the overweight and obese population: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. https://doi.org/10.1016/S2468-1253(22)00317-X. (PMID: 10.1016/S2468-1253(22)00317-X36400097) ; Dobbie LJ, Kassab M, Davison AS, Grace P, Cuthbertson DJ, Hydes TJ (2021) Low screening rates despite a high prevalence of significant liver fibrosis in people with diabetes from primary and secondary care. J Clin Med. https://doi.org/10.3390/jcm10245755. (PMID: 10.3390/jcm10245755349450518706667) ; Lévy P, Kohler M, McNicholas WT, Barbé F, McEvoy RD, Somers VK et al (2015) Obstructive sleep apnoea syndrome. Nat Rev Dis Prim. https://doi.org/10.1038/nrdp.2015.15. (PMID: 10.1038/nrdp.2015.1527188535) ; Foster GD, Borradaile KE, Sanders MH, Millman R, Zammit G, Newman AB et al (2009) A randomized study on the effect of weight loss on obstructive sleep apnea among obese patients with type 2 diabetes: the Sleep AHEAD study. Arch Intern Med 169:1619–1626. https://doi.org/10.1001/ARCHINTERNMED.2009.266. (PMID: 10.1001/ARCHINTERNMED.2009.266197866822879275) ; Kuna ST, Reboussin DM, Borradaile KE, Sanders MH, Millman RP, Zammit G et al (2013) Long-term effect of weight loss on obstructive sleep apnea severity in obese patients with type 2 diabetes. Sleep 36:641. https://doi.org/10.5665/SLEEP.2618. (PMID: 10.5665/SLEEP.2618236337463624818) ; Stelmach-Mardas M, Brajer-Luftmann B, Kuśnierczak M, Batura-Gabryel H, Piorunek T, Mardas M (2021) Body mass index reduction and selected cardiometabolic risk factors in obstructive sleep Apnea: meta-analysis. J Clin Med 10:1485. https://doi.org/10.3390/jcm10071485. (PMID: 10.3390/jcm10071485339184548038293) ; Aune D, Norat T, Vatten LJ (2014) Body mass index and the risk of gout: a systematic review and dose-response meta-analysis of prospective studies. Eur J Nutr 53:1591–1601. https://doi.org/10.1007/S00394-014-0766-0. (PMID: 10.1007/S00394-014-0766-025209031) ; Zheng H, Chen C (2015) Body mass index and risk of knee osteoarthritis: systematic review and meta-analysis of prospective studies. BMJ Open. https://doi.org/10.1136/BMJOPEN-2014-007568. (PMID: 10.1136/BMJOPEN-2014-007568267002784691734) ; Raud B, Gay C, Guiguet-Auclair C, Bonnin A, Gerbaud L, Pereira B et al (2020) Level of obesity is directly associated with the clinical and functional consequences of knee osteoarthritis. Sci Reports 10:1–7. https://doi.org/10.1038/s41598-020-60587-1. (PMID: 10.1038/s41598-020-60587-1) ; Cruz-Jentoft AJ, Sayer AA (2019) Sarcopenia. Lancet 393:2636–2646. https://doi.org/10.1016/S0140-6736(19)31138-9. (PMID: 10.1016/S0140-6736(19)31138-931171417) ; Han TS, Tajar A, Lean MEJ (2011) Obesity and weight management in the elderly. Br Med Bull 97:169–196. https://doi.org/10.1093/BMB/LDR002. (PMID: 10.1093/BMB/LDR00221325341) ; Wannamethee SG, Shaper AG, Lennon L, Whincup PH (2007) Decreased muscle mass and increased central adiposity are independently related to mortality in older men. Am J Clin Nutr 86:1339–1346. https://doi.org/10.1093/AJCN/86.5.1339. (PMID: 10.1093/AJCN/86.5.133917991644) ; Santanasto AJ, Goodpaster BH, Kritchevsky SB, Satterfield S, Schwartz AV, Cummings SR et al (2017) Body composition remodeling and mortality: the health aging and body composition study. J Gerontol A Biol Sci Med Sci 72:513–519. https://doi.org/10.1093/GERONA/GLW163. (PMID: 10.1093/GERONA/GLW16327567109) ; Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J et al (2008) Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond) 32:959–966. https://doi.org/10.1038/IJO.2008.11. (PMID: 10.1038/IJO.2008.1118283284) ; Wagenaar CA, Dekker LH, Navis GJ (2021) Prevalence of sarcopenic obesity and sarcopenic overweight in the general population: the lifelines cohort study. Clin Nutr 40:4422–4429. https://doi.org/10.1016/j.clnu.2021.01.005. (PMID: 10.1016/j.clnu.2021.01.00533485705) ; Voelker SN, Michalopoulos N, Maier AB, Reijnierse EM (2021) Reliability and concurrent validity of the SARC-F and its modified versions: a systematic review and meta-analysis. J Am Med Dir Assoc 22:1864-1876.e16. https://doi.org/10.1016/J.JAMDA.2021.05.011. (PMID: 10.1016/J.JAMDA.2021.05.01134144049) ; Donini LM, Busetto L, Bischoff SC, Cederholm T, Ballesteros-Pomar MD, Batsis JA et al (2022) Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement. Clin Nutr 41:990–1000. https://doi.org/10.1016/j.clnu.2021.11.014. (PMID: 10.1016/j.clnu.2021.11.01435227529) ; Villareal DT, Apovian CM, Kushner RF, Klein S (2005) Obesity in older adults: technical review and position statement of the American Society for Nutrition and NAASO, The Obesity Society. Am J Clin Nutr 82:923–934. https://doi.org/10.1093/AJCN/82.5.923. (PMID: 10.1093/AJCN/82.5.92316280421) ; Lega IC, Lipscombe LL (2020) Review: diabetes, obesity, and cancer-pathophysiology and clinical implications. Endocr Rev 41:33–52. https://doi.org/10.1210/endrev/bnz014. (PMID: 10.1210/endrev/bnz014) ; Mollan SP, Mitchell JL, Yiangou A, Ottridge RS, Alimajstorovic Z, Cartwright DM et al (2022) Association of amount of weight lost after bariatric surgery with intracranial pressure in women with idiopathic intracranial hypertension. Neurology 99:e1090–e1099. https://doi.org/10.1212/wnl.0000000000200839. (PMID: 10.1212/wnl.0000000000200839357904259536743) ; Mollan SP, Mitchell JL, Ottridge RS, Aguiar M, Yiangou A, Alimajstorovic Z et al (2021) Effectiveness of bariatric surgery vs community weight management intervention for the treatment of idiopathic intracranial hypertension: a randomized clinical trial. JAMA Neurol 78:678–686. https://doi.org/10.1001/jamaneurol.2021.0659. (PMID: 10.1001/jamaneurol.2021.0659339003608077040) ; Luppino FS, De Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BWJH et al (2010) Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry 67:220–229. https://doi.org/10.1001/ARCHGENPSYCHIATRY.2010.2. (PMID: 10.1001/ARCHGENPSYCHIATRY.2010.220194822) ; World Health Organization (2000) Obesity Task Force. International Association for the Study of Obesity. The Asia—Pacific perspective: redefining obesity and its treatment 8–45. ; Whyte MB, Velusamy S, Aylwin SJB (2014) Disease severity and staging of obesity: a rational approach to patient selection. Curr Atheroscler Rep 16:456. https://doi.org/10.1007/s11883-014-0456-7. Contributed Indexing: Keywords: Clinical evaluation; Obesity; Overweight Entry Date(s): Date Created: 20230429 Date Completed: 20230810 Latest Revision: 20230927 Update Code: 20240513 PubMed Central ID: PMC10412477

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Clinical evaluation of patients living with obesity.