Classification of obesity, cardiometabolic risk, and metabolic syndrome in adults with spinal cord injury

References

• Cao Y, Krause JS, DiPiro N. Risk factors for mortality after spinal cord injury in the USA. Spinal Cord. 2013;51(5):413–8.
   PubMed Web of Science ®Google Scholar
• DiMarco AF, Dawson NV. Risk factors for mortality in spinal cord injury. J Spinal Cord Med. 2014;37(6):670–1.
   PubMed Web of Science ®Google Scholar
• Gorgey AS, Dolbow DR, Dolbow JD, Khalil RK, Castillo C, Gater DR. Effects of spinal cord injury on body composition and metabolic profile - part I. J Spinal Cord Med. 2014;37(6):693–702.
   PubMed Web of Science ®Google Scholar
• Hatchett PE, Mulroy SJ, Eberly VJ, Haubert LL, Requejo PS. Body mass index changes over 3 years and effect of obesity on community mobility for persons with chronic spinal cord injury. J Spinal Cord Med. 2016;39(4):421–32.
   PubMed Web of Science ®Google Scholar
• Maitland Schladen M, Groah SL. State of the science on cardiometabolic risk after spinal cord injury: recap of the 2013 Asia pre-conference on cardiometabolic disease. Top Spinal Cord Inj Rehabil. 2014;20(2):105–12.
   PubMedGoogle Scholar
• Buchholz AC, McGillivray CF, Pencharz PB. Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition. Am J Clin Nutr. 2003;77(2):371–8.
   PubMed Web of Science ®Google Scholar
• Bauman WA, Spungen AM. Carbohydrate and lipid metabolism in chronic spinal cord injury. J Spinal Cord Med. 2001;24(4):266–77.
   PubMedGoogle Scholar
• Gater DR, Jr., Farkas GJ, Berg AS, Castillo C. Prevalence of metabolic syndrome in veterans with spinal cord injury. J Spinal Cord Med. 2018:1–8. doi:10.1080/10790268.2017.1423266. [Epub ahead of print]
   Web of Science ®Google Scholar
• Finnie AK, Buchholz AC, Martin Ginis KA, Group SSR. Current coronary heart disease risk assessment tools may underestimate risk in community-dwelling persons with chronic spinal cord injury. Spinal Cord. 2008;46(9):608–15.
   PubMed Web of Science ®Google Scholar
• Silveira SL, Ledoux TA, Robinson-Whelen S, Stough R, Nosek MA. Methods for classifying obesity in spinal cord injury: a review. Spinal Cord. 2017;55(9):812–7.
   PubMed Web of Science ®Google Scholar
• Martin KA, Mani MV, Mani A. New targets to treat obesity and the metabolic syndrome. Eur J Pharmacol. 2015;763(Pt A):64–74.
   PubMedGoogle Scholar
• Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond). 2008;32(9):1431–7.
   PubMed Web of Science ®Google Scholar
• Rinehart CS, Oliver JS. A clinical Protocol for the assessment of obesity: addressing an Epidemic. Nurs Clin North Am. 2015;50(3):605–11.
   PubMed Web of Science ®Google Scholar
• Farkas GJ, Gorgey AS, Dolbow DR, Berg AS, Gater DR. The influence of level of spinal cord injury on adipose tissue and its relationship to inflammatory adipokines and cardiometabolic profiles. J Spinal Cord Med. 2018;41(4):407–15.
   PubMed Web of Science ®Google Scholar
• Sumrell RM, Nightingale TE, McCauley LS, Gorgey AS, Pelletier C. Anthropometric cutoffs and associations with visceral adiposity and metabolic biomarkers after spinal cord injury. PLoS One. 2018;13(8):e0203049.
   PubMed Web of Science ®Google Scholar
• Ghatas MP, Lester RM, Khan MR, Gorgey AS. Semi-automated segmentation of magnetic resonance images for thigh skeletal muscle and fat using threshold technique after spinal cord injury. Neural Regen Res. 2018;13(10):1787–95.
   PubMed Web of Science ®Google Scholar
• Rankin KC, O’Brien LC, Gorgey AS. Quantification of trunk and android lean mass using dual energy x-ray absorptiometry compared to magnetic resonance imaging after spinal cord injury. J Spinal Cord Med. 2018:1–9. doi:10.1080/10790268.2018.1438879. [Epub ahead of print]
   PubMed Web of Science ®Google Scholar
• Wade RC, Lester RM, Gorgey AS. Validation of anthropometric muscle Cross-Sectional area equation after spinal cord injury. Int J Sports Med. 2018;39(5):366–73.
   PubMed Web of Science ®Google Scholar
• Eriks-Hoogland I, Hilfiker R, Baumberger M, Balk S, Stucki G, Perret C. Clinical assessment of obesity in persons with spinal cord injury: validity of waist circumference, body mass index, and anthropometric index. J Spinal Cord Med. 2011;34(4):416–22.
   PubMed Web of Science ®Google Scholar
• Han SH, Lee BS, Choi HS, Kang M-S, Kim BR, Han Z-A, et al. Comparison of Fat mass percentage and body mass index in Koreans With spinal cord injury according to the severity and Duration of Motor Paralysis. Ann Rehabil Med. 2015;39(3):384–92.
   PubMedGoogle Scholar
• Obesity: preventing and managing the global epidemic. report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii, 1–253.
   Google Scholar
• Alschuler KN, Gibbons LE, Rosenberg DE, Ehde DM, Verrall AM, Bamer AM, et al. Body mass index and waist circumference in persons aging with muscular dystrophy, multiple sclerosis, post-polio syndrome, and spinal cord injury. Disabil Health J. 2012;5(3):177–84.
   PubMed Web of Science ®Google Scholar
• Bauman WA, Spungen AM. Coronary heart disease in individuals with spinal cord injury: assessment of risk factors. Spinal Cord. 2008;46(7):466–76.
   PubMed Web of Science ®Google Scholar
• Laughton GE, Buchholz AC, Martin Ginis KA, Goy RE, Group SSR. Lowering body mass index cutoffs better identifies obese persons with spinal cord injury. Spinal Cord. 2009;47(10):757–62.
   PubMed Web of Science ®Google Scholar
• Cragg JJ, Ravensbergen HJ, Borisoff JF, Claydon VE. Optimal scaling of weight and waist circumference to height for adiposity and cardiovascular disease risk in individuals with spinal cord injury. Spinal Cord. 2015;53(1):64–8.
   PubMed Web of Science ®Google Scholar
• Ayas NT, Epstein LJ, Lieberman SL, Tun CG, Larkin EK, Brown R, et al. Predictors of loud snoring in persons with spinal cord injury. J Spinal Cord Med. 2001;24(1):30–4.
   PubMedGoogle Scholar
• Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C, et al. Waist circumference and cardiometabolic risk: a Consensus Statement from Shaping America's health: Association for weight Management and obesity Prevention; NAASO, the obesity Society; the American Society for Nutrition; and the American diabetes Association. Obesity (Silver Spring). 2007;15(5):1061–7.
   PubMed Web of Science ®Google Scholar
• Ravensbergen HR, Lear SA, Claydon VE. Waist circumference is the best index for obesity-related cardiovascular disease risk in individuals with spinal cord injury. J Neurotrauma. 2014;31(3):292–300.
   PubMed Web of Science ®Google Scholar
• Academy of Nutrition and Dietetics Evidence Analysis Library. “SCI: Assessment of Body Composition: Estimation of Ideal Body Weight” Accessed 18 May 2018: https://wwwandealorg/templatecfm?template=guide_summary&key=2305#supportevidence
   Google Scholar
• Peiffer SC, Blust P, Leyson JF. Nutritional assessment of the spinal cord injured patient. J Am Diet Assoc. 1981;78(5):501–5.
   PubMedGoogle Scholar
• Libin A, Tinsley EA, Nash MS, Mendez A, Burns P, Elrod M, et al. Cardiometabolic risk clustering in spinal cord injury: results of exploratory factor analysis. Top Spinal Cord Inj Rehabil. 2013;19(3):183–94.
   PubMedGoogle Scholar
• Nash MS, Mendez AJ. A guideline-driven assessment of need for cardiovascular disease risk intervention in persons with chronic paraplegia. Arch Phys Med Rehabil. 2007;88(6):751–57.
   PubMed Web of Science ®Google Scholar
• Wahman K, Nash MS, Lewis JE, Seiger A, Levi R. Increased cardiovascular disease risk in Swedish persons with paraplegia: The Stockholm spinal cord injury study. J Rehabil Med. 2010;42(5):489–92.
   PubMed Web of Science ®Google Scholar
• Kip KE, Marroquin OC, Kelley DE, Mendez A, Burns P, Elrod M, et al. Clinical importance of obesity versus the metabolic syndrome in cardiovascular risk in women: a report from the women's Ischemia syndrome evaluation (WISE) study. Circulation. 2004;109(6):706–13.
   PubMed Web of Science ®Google Scholar
• D'Agostino RB, Sr., Vasan RS, Pencina MJ., Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart study. Circulation. 2008;117(6):743–53.
   PubMed Web of Science ®Google Scholar
• Gander J, Sui X, Hazlett LJ, Cai B, Hebert JR, Blair SN. Factors related to coronary heart disease risk among men: validation of the Framingham risk score. Prev Chronic Dis. 2014;11:E140.
   PubMedGoogle Scholar
• Guo F, Garvey WT. Development of a Weighted cardiometabolic Disease Staging (CMDS) System for the prediction of Future diabetes. J Clin Endocrinol Metab. 2015;100(10):3871–7.
   PubMed Web of Science ®Google Scholar
• Guo F, Moellering DR, Garvey WT. The progression of cardiometabolic disease: validation of a new cardiometabolic disease staging system applicable to obesity. Obesity (Silver Spring). 2014;22(1):110–8.
   PubMed Web of Science ®Google Scholar
• Kuk JL, Ardern CI, Church TS, Sharma AM, Padwal R, Sui X, et al. Edmonton obesity Staging System: association with weight history and mortality risk. Appl Physiol Nutr Metab. 2011;36(4):570–76.
   PubMed Web of Science ®Google Scholar
• Sharma AM, Kushner RF. A proposed clinical staging system for obesity. Int J Obes (Lond). 2009;33(3):289–95.
   PubMed Web of Science ®Google Scholar
• Lloyd-Jones DM. Cardiovascular risk prediction: basic concepts, current status, and future directions. Circulation. 2010;121(15):1768–77.
   PubMed Web of Science ®Google Scholar
• Lieberman JA, Hammond FM, Barringer TA, Norton HJ, Goff DC, Bockenek WL, et al. Comparison of coronary artery calcification scores and National Cholesterol Education program guidelines for coronary heart disease risk assessment and treatment paradigms in individuals with chronic traumatic spinal cord injury. J Spinal Cord Med. 2011;34(2):233–40.
   PubMed Web of Science ®Google Scholar
• Vigna LM, Brunani A, Gori F, Mussino F, Tomaino SCM, Agnelli GM, et al. Edmonton obesity Staging System (EOSS) and work Ability in the evaluation of Workers affected by obesity: A Preliminary report. J Occup Environ Med. 2018;60(8):732–6.
   PubMed Web of Science ®Google Scholar
• Grammatikopoulou MG, Chourdakis M, Gkiouras K, Roumeli P, Poulimeneas D, Apostolidou E, et al. Edmonton obesity staging system among pediatric patients: a validation and obesogenic risk factor analysis. J Endocrinol Invest. 2018;41(8):947–57.
   PubMed Web of Science ®Google Scholar
• Chiappetta S, Stier C, Squillante S, Theodoridou S, Weiner RA. The importance of the Edmonton obesity Staging System in predicting postoperative outcome and 30-day mortality after metabolic surgery. Surg Obes Relat Dis. 2016;12(10):1847–55.
   PubMed Web of Science ®Google Scholar
• Hadjiyannakis S, Buchholz A, Chanoine JP, Jetha MM, Gaboury L, Hamilton J, et al. The Edmonton obesity Staging System for Pediatrics: A proposed clinical staging system for paediatric obesity. Paediatr Child Health. 2016;21(1):21–6.
   PubMed Web of Science ®Google Scholar
• Gill RS, Karmali S, Sharma AM. The potential role of the Edmonton obesity staging system in determining indications for bariatric surgery. Obes Surg. 2011;21(12):1947–9.
   PubMed Web of Science ®Google Scholar
• Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7):539–53.
   PubMed Web of Science ®Google Scholar
• Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/national heart, lung, and blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52.
   PubMed Web of Science ®Google Scholar
• Expert Panel on Detection E, Treatment of high blood Cholesterol in A. Executive Summary of The Third report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, evaluation, And Treatment of high blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.
   Google Scholar
• Alberti KG, Zimmet P, Shaw J. Metabolic syndrome–a new world-wide definition. A Consensus Statement from the International diabetes Federation. Diabet Med. 2006;23(5):469–80.
   PubMed Web of Science ®Google Scholar
• de Groot S, Adriaansen JJ, Tepper M, Snoek GJ, van der Woude LH, Post MW. Metabolic syndrome in people with a long-standing spinal cord injury: associations with physical activity and capacity. Appl Physiol Nutr Metab. 2016;41(11):1190–6.
   PubMed Web of Science ®Google Scholar
• Lee MY, Myers J, Hayes A, Madan S, Froelicher VF, Perkash I, et al. C-reactive protein, metabolic syndrome, and insulin resistance in individuals with spinal cord injury. J Spinal Cord Med. 2005;28(1):20–5.
   PubMed Web of Science ®Google Scholar
• Li C, DiPiro ND, Cao Y, Szlachcic Y, Krause J. The association between metabolic syndrome and pressure ulcers among individuals living with spinal cord injury. Spinal Cord. 2016;54(11):967–72.
   PubMed Web of Science ®Google Scholar
• Liang H, Chen D, Wang Y, Rimmer JH, Braunschweig CL. Different risk factor patterns for metabolic syndrome in men with spinal cord injury compared with able-bodied men despite similar prevalence rates. Arch Phys Med Rehabil. 2007;88(9):1198–204.
   PubMed Web of Science ®Google Scholar
• Maruyama Y, Mizuguchi M, Yaginuma T, Kusaka M, Yoshida H, Yokoyama K, et al. Serum leptin, abdominal obesity and the metabolic syndrome in individuals with chronic spinal cord injury. Spinal Cord. 2008;46(7):494–9.
   PubMed Web of Science ®Google Scholar
• Hamwi G. Therapy: changing dietary concept. In: Danowski TS, ed. Diabetes mellitus: diagnosis and Treatment. New York, NY: American Diabetes Association. 1964:73–8.
   Google Scholar
• Shah B, Sucher K, Hollenbeck CB. Comparison of ideal body weight equations and published height-weight tables with body mass index tables for healthy adults in the United States. Nutr Clin Pract. 2006;21(3):312–9.
   PubMedGoogle Scholar
• Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
   PubMed Web of Science ®Google Scholar
• Jung IY, Kim HR, Chun SM, Leigh JH, Shin HI. Severe spasticity in lower extremities is associated with reduced adiposity and lower fasting plasma glucose level in persons with spinal cord injury. Spinal Cord. 2017;55(4):378–82.
   PubMed Web of Science ®Google Scholar
• Sullivan SD, Nash MS, Tefara E, Tinsley E, Groah S. Relationship between Gonadal Function and cardiometabolic risk in Young Men With Chronic spinal cord injury. PM R. 2018;10(4):373–81.
   PubMedGoogle Scholar
• Allen KJ, Leslie SW. Autonomic Dysreflexia. Treasure Island (FL): StatPearls; 2018.
   Google Scholar
• Hubli M, Krassioukov AV. Ambulatory blood pressure monitoring in spinal cord injury: clinical practicability. J Neurotrauma. 2014;31(9):789–97.
   PubMed Web of Science ®Google Scholar
• West CR, Mills P, Krassioukov AV. Influence of the neurological level of spinal cord injury on cardiovascular outcomes in humans: a meta-analysis. Spinal Cord. 2012;50(7):484–92.
   PubMed Web of Science ®Google Scholar
• McColl MA, Gupta S, Smith K, McColl A. Promoting long-term health among people with spinal cord injury: What's New? Int J Environ Res Public Health. 2017;14(12):1–11. doi:10.3390/ijerph14121520.
   PubMed Web of Science ®Google Scholar
• Bunning K, Gona JK, Newton CR, Hartley S. Caregiver perceptions of children who have complex communication needs following a home-based intervention using augmentative and alternative communication in rural Kenya: an intervention note. Augment Altern Commun. 2014;30(4):344–56.
   PubMed Web of Science ®Google Scholar
• McColl MA, Forster D, Shortt SE, et al. Physician experiences providing primary care to people with disabilities. Healthc Policy. 2008;4(1):e129–47.
   PubMedGoogle Scholar
• Hagen EM, Grimstad KE, Bovim L, Gronning M. Patients with traumatic spinal cord injuries and their satisfaction with their general practitioner. Spinal Cord. 2012;50(7):527–32.
   PubMed Web of Science ®Google Scholar