期刊论文详细信息
BMC Public Health
Factors associated with low fitness in adolescents – A mixed methods study
Sinead Brophy3  Gareth Stratton1  Julien S Baker6  Danielle Christian2  Kerina Jones3  Muhammad A Rahman3  Rebecca Hill3  Gareth Knox5  Anwen Rees4  Michael B Gravenor3  Richard Charlton3 
[1] College of Engineering, Swansea University, Swansea SA2 8PP, UK;College of Health and Human Sciences, Swansea University, Swansea SA2 9PP, UK;College of Medicine, Swansea University, Swansea SA2 8PP, UK;School of Sport, University of Wales Institute Cardiff, Cardiff CF23 6XD, UK;Applied Sport Science University of West of England (Hartpury College), Gloucester, England;Institute of Clinical Exercise and Health Science, School of Science, University of the West of Scotland, Hamilton, Lanarkshire ML3 OJB, Scotland
关键词: Physical activity;    Heart disease;    Diabetes;    Risk factors;    Eduation and health;   
Others  :  1128899
DOI  :  10.1186/1471-2458-14-764
 received in 2013-07-08, accepted in 2014-07-10,  发布年份 2014
PDF
【 摘 要 】

Background

Fitness and physical activity are important for cardiovascular and mental health but activity and fitness levels are declining especially in adolescents and among girls. This study examines clustering of factors associated with low fitness in adolescents in order to best target public health interventions for young people.

Methods

1147 children were assessed for fitness, had blood samples, anthropometric measures and all data were linked with routine electronic data to examine educational achievement, deprivation and health service usage. Factors associated with fitness were examined using logistic regression, conditional trees and data mining cluster analysis. Focus groups were conducted with children in a deprived school to examine barriers and facilitators to activity for children in a deprived community.

Results

Unfit adolescents are more likely to be deprived, female, have obesity in the family and not achieve in education. There were 3 main clusters for risk of future heart disease/diabetes (high cholesterol/insulin); children at low risk (not obese, fit, achieving in education), children ‘visibly at risk’ (overweight, unfit, many hospital/GP visits) and ‘invisibly at risk’ (unfit but not overweight, failing in academic achievement). Qualitative findings show barriers to physical activity include cost, poor access to activity, lack of core physical literacy skills and limited family support.

Conclusions

Low fitness in the non-obese child can reveal a hidden group who have high risk factors for heart disease and diabetes but may not be identified as they are normal weight. In deprived communities low fitness is associated with non-achievement in education but in non-deprived communities low fitness is associated with female gender. Interventions need to target deprived families and schools in deprived areas with community wide campaigns.

【 授权许可】

   
2014 Charlton et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150225122645535.pdf 349KB PDF download
Figure 1. 62KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Reilly JJ, Jackson DM, Montgomery C, Kelly LA, Slater C, Grant S, Paton JY: Total energy expenditure and physical activity in young Scottish children: mixed longitudinal study. Lancet 2004, 363(9404):211-212.
  • [2]Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT: Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012, 380(9838):219-229.
  • [3]Telama R: Tracking of physical activity from childhood to adulthood: a review. Obes Facts 2009, 2(3):187-195.
  • [4]Kelder SH, Perry CL, Klepp KI, Lytle LL: Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health 1994, 84(7):1121-1126.
  • [5]Merrick J, Morad M, Halperin I, Kandel I: Physical fitness and adolescence. Int J Adolesc Med Health 2005, 17(1):89-91.
  • [6]Tomkinson GR, Leger LA, Olds TS, Cazorla G: Secular trends in the performance of children and adolescents (1980–2000): an analysis of 55 studies of the 20 m shuttle run test in 11 countries. Sports Med 2003, 33(4):285-300.
  • [7]Brophy S, Rees A, Knox G, Baker J, Thomas NE: Child Fitness and Father’s BMI Are Important Factors in Childhood Obesity: A School Based Cross-Sectional Study. PLoS One 2012, 7(5):e36597.
  • [8]Tomkinson GR, Olds TS, Kang SJ, Kim DY: Secular trends in the aerobic fitness test performance and body mass index of Korean children and adolescents (1968–2000). Int J Sports Med 2007, 28(4):314-320.
  • [9]Aires L, Pratt M, Lobelo F, Santos RM, Santos MP, Mota J: Associations of cardiorespiratory fitness in children and adolescents with physical activity, active commuting to school, and screen time. J Phys Act Health 2011, 8(Suppl 2):S198-S205.
  • [10]Dencker M, Thorsson O, Karlsson MK, Linden C, Wollmer P, Andersen LB: Aerobic fitness related to cardiovascular risk factors in young children. Eur J Pediatr 2012, 171(4):705-710.
  • [11]Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U: Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 2012, 380(9838):247-257.
  • [12]Lammle L, Worth A, Bos K: Socio-demographic correlates of physical activity and physical fitness in German children and adolescents. Eur J Public Health 2012, 22(6):880-884.
  • [13]Biddle SJ, Gorely T, Marshall SJ, Murdey I, Cameron N: Physical activity and sedentary behaviours in youth: issues and controversies. J R Soc Promot Health 2004, 124(1):29-33.
  • [14]Kwan MY, Cairney J, Faulkner GE, Pullenayegum EE: Physical activity and other health-risk behaviors during the transition into early adulthood: a longitudinal cohort study. Am J Prev Med 2012, 42(1):14-20.
  • [15]Department for Transport: Transport Trends. London: TSO Publications; 2006.
  • [16]Reilly JJ, Penpraze V, Hislop J, Davies G, Grant S, Paton JY: Objective measurement of physical activity and sedentary behaviour: review with new data. Arch Dis Child 2008, 93(7):614-9.
  • [17]Ortega FB, Lee DC, Katzmarzyk PT, Ruiz JR, Sui X, Church TS, Blair SN: The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness. Eur Heart J 2013, 34(5):389-397.
  • [18]Rees A, Thomas N, Brophy S, Knox G, Williams R: Cross sectional study of childhood obesity and prevalence of risk factors for cardiovascular disease and diabetes in children aged 11–13. BMC Public Health 2009, 9:86. BioMed Central Full Text
  • [19]Leger LA, Mercier D, Gadoury C, Lambert J: The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 1988, 6(2):93-101.
  • [20]Riddoch C, Northern Ireland Health and Fitness Survey -1989: The fitness, physical activity, attitudes and lifestyles of Northern Ireland post-primary schoolchildren. Belfast: Sports Council for Northern Ireland and Departments of Health and Social Services; 1990.
  • [21]Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320(7244):1240-1243.
  • [22]Goodman E, Daniels SR, Morrison JA, Huang B, Dolan LM: Contrasting prevalence of and demographic disparities in the World Health Organization and National Cholesterol Education Program Adult Treatment Panel III definitions of metabolic syndrome among adolescents. J Pediatr 2004, 145(4):445-451.
  • [23]Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S, International Diabetes Federation Task Force on Epidemiology and Prevention of Diabetes: The metabolic syndrome in children and adolescents. Lancet 2007, 369(9579):2059-2061.
  • [24]Suttleworth I: The relationship between social deprivation, as measured by individual free school meal eligibility, and educational attainment in GCSE in Norther Ireland: a preliminary investigation. British Educational Research Journal 1995, 21:487-504.
  • [25]Howarth S: National Assembly for Wales. In Figures. Child Poverity Paper number 08/045. 2008. http://www.assemblywales.org/08-045.pdf webcite. Publisher: National Assembly for Wales. Cardiff
  • [26]Stats Waleshttp://wales.gov.uk/topics/statistics/theme/wimd/?lang=en webcite, Accessed April 2013
  • [27]Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S, IDF Consensus Group: The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatr Diabetes 2007, 8(5):299-306.
  • [28]Shaw JE, Zimmet PZ, Alberti KG: Point: impaired fasting glucose: The case for the new American Diabetes Association criterion. Diabetes Care 2006, 29(5):1170-1172.
  • [29]Lyons RA, Jones KH, John G, Brooks CJ, Verplancke JP, Ford DV, Leake K: The SAIL databank: linking multiple health and social care datasets. BMC Med Inform Decis Mak 2009, 9:3. BioMed Central Full Text
  • [30]Ford DV, Jones KH, Verplancke JP, Lyons RA, John G, Brown G, Brooks C, Thompson S, Bodger O, Couch T, Leake K: The SAIL Databank: building a national architecture for e-health research and evaluation. BMC Health Serv Res 2009, 9:157. BioMed Central Full Text
  • [31]Castelli DM, Hillman CH, Buck SM, Erwin HE: Physical fitness and academic achievement in third- and fifth-grade students. J Sport Exerc Psychol 2007, 29(2):239-252.
  • [32]Donnelly JE KL: Classroom-based physical activity, cognition, and academic achievement. Prev Med 2011, 52(1):S36-S42.
  • [33]Kwak L, Kremers SP, Bergman P, Ruiz JR, Rizzo NS, Sjöström M: Associations between physical activity, fitness, and academic achievement. J Pediatr 2009, 155(6):914-918.
  • [34]Singh A, Uijtdewilligen L, Twisk JW, van Mechelen W, Chinapaw MJ: Physical activity and performance at school: a systematic review of the literature including a methodological quality assessment. Arch Pediatr Adolesc Med 2012, 166(1):49-55.
  • [35]London RA, Castrechini S: A longitudinal examination of the link between youth phyical fitness and academic achievement. J Sch Health 2011, 81(7):400-408.
  • [36]Telford RD, Cunninghman RB: R. F. Physical education, obesity and academic achievement: a 2 year longitudinal investigation of Australian elementary school children. Am J Public Health 2012, 102(2):368-374.
  • [37]Hollar D, Lombardo M, Lopez-Mitnik G: Effective multi-level, multi-sector, school-based obesity prevention programming improves weight, blood pressure, and academic performance, especially among low income, minority children. J Health Care Poor Underserved 2010, 21(2):93-108.
  • [38]Heath GW, Parra DC, Sarmiento OL, Andersen LB, Owen N, Goenka S, Montes F, Brownson RC: Evidence-based intervention in physical activity: lessons from around the world. Lancet 2012, 380(9838):272-281.
  • [39]Brophy S, Crowley A, Mistry R, Hill R, Choudhury S, Thomas NE, Rapport F: Recommendations to improve physical activity among teenagers–a qualitative study with ethnic minority and European teenagers. BMC Public Health 2011, 11:412. BioMed Central Full Text
  文献评价指标  
  下载次数:14次 浏览次数:3次