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Original Research

A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents

, , , , , , , , & show all
Pages 2075-2083 | Published online: 10 Oct 2019

References

  • Falkner B , Cossrow ND . Prevalence of metabolic syndrome and obesity-associated hypertension in the racial ethnic minorities of the United States. Curr Hypertens Rep . 2014;16(7):449. doi:10.1007/s11906-014-0449-5 24819559
  • Kim CJ , Park J , Kang SW . Prevalence of metabolic syndrome and cardiovascular risk level in a vulnerable population. Int J Nurs Pract . 2015;21(2):175–183. doi:10.1111/ijn.12258 24666551
  • O’Neill S , O’Driscoll L . Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev . 2015;16(1):1–12. doi:10.1111/obr.12229
  • Cook S , Weitzman M , Auinger P , Nguyen M , Dietz WH . Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr . 2003;157(8):821–827. doi:10.1001/archpedi.157.8.821
  • Miller JM , Kaylor MB , Johannsson M , Bay C , Churilla JR . Prevalence of metabolic syndrome and individual criterion in US adolescents: 2001-2010 National Health and Nutrition Examination Survey. Metab Syndr Relat Disord . 2014;12(10):527–532. doi:10.1089/met.2014.0055 25247821
  • Wang ZH , Zou ZY , Wang S , et al. Analysis of the epidemiological characteristics of metabolic syndrome among 10-16 adolescents in 7 provinces in China, 2012. Chin J Preventive Med . 2017;51(4):295–299. doi:10.3760/cma.j.issn.0253-9624.2017.04.004
  • Daniels SR , Greer FR . Lipid screening and cardiovascular health in childhood. Pediatrics . 2008;122(1):198–208. doi:10.1542/peds.2008-1349 18596007
  • Lim S , Shin H , Song JH , et al. Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007. Diabetes Care . 2011;34(6):1323–1328. doi:10.2337/dc10-2109 21505206
  • Ejike C . Lipid accumulation product and waist-to-height ratio are predictors of the metabolic syndrome in a Nigerian male geriatric population. J Rural Trop Public Health . 2011;10:101–105.
  • Al-Hamad D , Raman V . Metabolic syndrome in children and adolescents. Trans Pediatr . 2017;6:397–407. doi:10.21037/tp.2017.10.02
  • Rodea-Montero ER , Evia-Viscarra ML , Apolinar-Jimenez E . Waist-to-height ratio is a better anthropometric index than waist circumference and BMI in predicting metabolic syndrome among obese Mexican adolescents. Int J Endocrinol . 2014;2014:195407. doi:10.1155/2014/195407 25574166
  • Liu C , Zhang LJ . Research progress of new type body fat indexes of lipid accumulation product index and visceral adiposity index. Chin J Diabetes . 2016;24(11):1032–1035. doi:10.3969/j.issn.1006-6187.2016.11.16
  • Sidossis L , Kajimura S . Brown and beige fat in humans: thermogenic adipocytes that control energy and glucose homeostasis. J Clin Invest . 2015;125(2):478–486. doi:10.1172/jci78362 25642708
  • Prado CM , Gonzalez MC , Heymsfield SB . Body composition phenotypes and obesity paradox. Curr Opin Clin Nutr Metab Care . 2015;18(6):535–551. doi:10.1097/mco.0000000000000216 26335310
  • Kahn HS . The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc Disord . 2005;5:26. doi:10.1186/1471-2261-5-26 16150143
  • Taverna MJ , Martinez-Larrad MT , Frechtel GD , Serrano-Rios M . Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population. Eur J Endocrinol . 2011;164(4):559–567. doi:10.1530/eje-10-1039 21262912
  • Guo SX , Zhang XH , Zhang JY , et al. Visceral adiposity and anthropometric indicators as screening tools of metabolic syndrome among low income rural adults in Xinjiang. Sci Rep . 2016;6:36091. doi:10.1038/srep36091 27782221
  • Shi X . Dietary guidelines for chinese residents. Chin J Woman Child Health Res . 2016;27(5):670.
  • Huang YJ , Wong SH , Salmon J . Reliability and validity of the modified Chinese version of the Children’s Leisure Activities Study Survey (CLASS) questionnaire in assessing physical activity among Hong Kong children. Pediatr Exerc Sci . 2009;21(3):339–353.19827457
  • Australian Government Department of Health. Australian 24 hr movement guidelines for children and young people (5-17 years) – an integration of physical activity, sedentary behaviour and sleep. 02 April 2019 Commonwealth of Australia. Available from: https://www1.health.gov.au/internet/main/publishing.nsf/Content/ti-5-17years.
  • Villagran Perez S , Novalbos-Ruiz JP , Rodriguez-Martin A , Martinez-Nieto JM , Lechuga-Sancho AM . Implications of family socioeconomic level on risk behaviors in child-youth obesity. Nutr Hosp . 2013;28(6):1951–1960. doi:10.3305/nutrhosp.v28in06.6848 24506374
  • Song P , Li X , Gasevic D , Flores AB , Bmi YZ . Waist circumference reference values for chinese school-aged children and adolescents. Int J Environ Res Public Health . 2016;13(6). doi:10.3390/ijerph13060589
  • Mi J , Wang TY , Meng HL , et al. Development of blood pressure reference standards for Chinese children and adolescents. Chin J Evid Based Pediatr . 2010;5(1):4–14. doi:10.3969/j.issn.1673-5501.2010.01.002
  • Group of China Obesity Task Force. Body mass index reference norm for screening overweight and obesity in Chinese children and adolescents. Chin J Epidemiol . 2004;25(2):97–102.
  • Hsieh SD , Yoshinaga H , Muto T . Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord . 2003;27(5):610–616. doi:10.1038/sj.ijo.0802259 12704405
  • Gordon-Larsen P , Wang H , Popkin BM . Overweight dynamics in Chinese children and adults. Obes Rev . 2014;15(Suppl 1):37–48. doi:10.1111/obr.12121 24341757
  • Kim S , So WY . Prevalence of metabolic syndrome among korean adolescents according to the national cholesterol education program, adult treatment panel III and international diabetes federation. Nutrients . 2016;8(10):588. doi:10.3390/nu8100588
  • Wang CL , Liang L , Fu JF , et al. Prevalence of metabolic syndrome of children and adolescent students in Chinese six cities. Chin J Pediatr . 2013;51(6):409–413. doi:10.3760/cma.j.issn.0578-1310.2013.06.004
  • Ye P , Yan Y , Ding W , et al. Prevalence of metabolic syndrome in Chinese children and adolescents: a meta-analysis. Chin J Epidemiol . 2015;36(8):884–888. doi:10.3760/cma.j.issn.0254-6450.2015.08.025
  • Pan Y , Pratt CA . Metabolic syndrome and its association with diet and physical activity in US adolescents. J Am Diet Assoc . 2008;108(2):276–286. doi:10.1016/j.jada.2007.10.049 18237576
  • Tandon N , Garg MK , Singh Y , Marwaha RK . Prevalence of metabolic syndrome among urban Indian adolescents and its relation with insulin resistance (HOMA-IR). J Pediatr Endocrinol Metab . 2013;26(11–12):1123–1130. doi:10.1515/jpem-2013-0020 23751385
  • Monzani A , Rapa A , Fuiano N , et al. Metabolic syndrome is strictly associated with parental obesity beginning from childhood. Clin Endocrinol . 2014;81(1):45–51. doi:10.1111/cen.12261
  • Oh MS , Kim S , Jang JH , et al. Associations among the degree of nonalcoholic fatty liver disease, metabolic syndrome, degree of obesity in children, and parental obesity. Pediatr Gastroenterol Hepatol Nutr . 2016;19(3):199–206. doi:10.5223/pghn.2016.19.3.199 27738602
  • Yang Y , Dong B , Wang S , et al. Prevalence of high blood pressure subtypes and its associations with BMI in Chinese children: a national cross-sectional survey. BMC Public Health . 2017;17(1):598. doi:10.1186/s12889-017-4522-2 28651555
  • Wang YY , Xiong F , Zhang YN , et al. Survey on components of the metabolic syndrome and analysis of its influencing factors among 7-16 years old children and adolescents in Chongqing. J Chongqing Med Univ . 2016;41(10):1069–1075. doi:10.13406/j.cnki.cyxb.001033
  • Mehairi AE , Khouri AA , Naqbi MM , et al. Metabolic syndrome among Emirati adolescents: a school-based study. PLoS One . 2013;8(2):e56159. doi:10.1371/journal.pone.0056159 23418529
  • Kelishadi R , Hovsepian S , Djalalinia S , Jamshidi F , Qorbani M . A systematic review on the prevalence of metabolic syndrome in Iranian children and adolescents. J Res Med Sci . 2016;21:90. doi:10.4103/1735-1995.192506 28163736
  • Chastin SF , Palarea-Albaladejo J , Dontje ML , Skelton DA . Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach. PLoS One . 2015;10(10):e0139984. doi:10.1371/journal.pone.0139984 26461112
  • Stabelini Neto A , de Campos W , Dos Santos GC , Mazzardo Junior O . Metabolic syndrome risk score and time expended in moderate to vigorous physical activity in adolescents. BMC Pediatr . 2014;14:42. doi:10.1186/1471-2431-14-42 24529305
  • Weber DR , Leonard MB , Shults J , Zemel BS . A comparison of fat and lean body mass index to BMI for the identification of metabolic syndrome in children and adolescents. J Clin Endocrinol Metab . 2014;99(9):3208–3216. doi:10.1210/jc.2014-1684 24926951
  • Ray L , Ravichandran K , Nanda SK . Comparison of lipid accumulation product index with body mass index and waist circumference as a predictor of metabolic syndrome in Indian population. Metab Syndr Relat Disord . 2018;16(5):240–245. doi:10.1089/met.2017.0119 29648916
  • Monzani A , Rapa A , Prodam F , et al. High discrepancy in abdominal obesity prevalence according to different waist circumference cut-offs and measurement methods in children: need for age-risk-weighted standardized cut-offs? PLoS One . 2016;11(1):e0146579. doi:10.1371/journal.pone.0146579 26745148
  • Bravo J , Raimundo AM , Santos DA , Timon R , Sardinha LB . Abdominal obesity in adolescents: development of age-specific waist circumference cut-offs linked to adult IDF criteria. Am J Hum Biol . 2017;29(6):e23036. doi:10.1002/ajhb.23036