期刊论文详细信息
BMC Public Health
Socio-demographic and behavioural correlates of physical activity perception in individuals with recently diagnosed diabetes: results from a cross-sectional study
Rebecca K Simmons3  Simon J Griffin2  Stephen Sutton1  Esther MF van Sluijs2  Nicholas J Wareham2  Søren Brage3  Gráinne H Long3 
[1] Behavioural Science, Institute of Public Health, University of Cambridge, Cambridge, UK;UKCRC Centre for Diet and Activity Research, Institute of Public Health, Cambridge, UK;MRC Epidemiology Unit, University of Cambridge, Institute of Public Health, Cambridge, UK
关键词: Health promotion intervention;    Social correlates of health;    Lifestyle behaviour;    Health behaviour;    Perception;    Awareness;    Overestimation;    Physical activity;    Type 2 diabetes mellitus;   
Others  :  1162004
DOI  :  10.1186/1471-2458-13-678
 received in 2013-01-03, accepted in 2013-06-09,  发布年份 2013
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【 摘 要 】

Background

Physical activity (PA) levels in type 2 diabetes mellitus (T2DM) patients are generally low. Poor PA perception may impede healthy behaviour change in this high risk group. We describe (i) objective PA levels, (ii) the difference between objective and self-reported PA (‘PA disparity’) and the correlates of (iii) PA disparity and (iv) overestimation in recently diagnosed T2DM patients.

Methods

Cross-sectional analysis of 425 recently diagnosed T2DM patients aged 42 to 71, participating in the ADDITION-Plus study in Eastern England, UK. We define ‘PA disparity’ as the non-negative value of the difference (in mathematical terms the absolute difference) between objective and self-reported physical activity energy expenditure (PAEE in kJ · kg-1 · day-1). ‘Overestimators’ comprised those whose self-reported- exceeded objective-PAEE by 4.91 kJ · kg-1 · day-1(the equivalent of 30 minutes moderate activity per day). Multivariable linear regression examined the association between PA disparity (continuous) and socio-demographic, clinical, health behaviour, quality of life and psychological characteristics. Logistic regression examined the association between PA overestimation and individual characteristics.

Results

Mean objective and self-reported PAEE levels ± SD were 34.4 ± 17.0 and 22.6 ± 19.4 kJ · kg-1 · day-1, respectively (difference in means =11.8; 95% CI = 9.7 to 13.9 kJ · kg-1 · day-1). Higher PA disparity was associated with male sex, younger age, lower socio-economic status and lower BMI. PA overestimators comprised 19% (n = 80), with those in routine/manual occupations more likely to be overestimators than those in managerial/professional occupations.

Conclusions

T2DM patients with poor physical activity perception are more likely to be male, younger, from a lower socio-economic class and to have a lower BMI. PA overestimators were more likely to be in lower socio-economic categories. Self-monitoring and targeted feedback, particularly to those in lower socio-economic categories, may improve PA perceptions and optimise interventions in T2DM patients. Our findings suggest that strategies for enabling realistic assessment of physical activity levels, through self-monitoring or feedback, warrant further investigation and may help refine and improve physical activity interventions.

【 授权许可】

   
2013 Long et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Nathan DM, Buse JB, Davidson MB, Ferrannini E, Holman RR, Sherwin R, Zinman B: Medical management of hyperglycaemia in type 2 diabetes mellitus: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia 2009, 52(1):17-30.
  • [2]Department of Health: Start Active, Stay Active: A report on physical activity from the four home countries’ Chief Medical Officers. London: DoH; 2011. http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_128209 webcite
  • [3]Thomas DE, Elliott EJ, Naughton GA: Exercise for type 2 diabetes mellitus. Cochrane Database Syst Rev 2006, 3:10-15. CD002968
  • [4]Snowling NJ, Hopkins WG: Effects of different modes of exercise training on glucose control and risk factors for complications in type 2 diabetic patients: a meta-analysis. Diabetes Care 2006, 29(11):2518-2527.
  • [5]Boule NG, Haddad E, Kenny GP, Wells GA, Sigal RJ: Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: a meta-analysis of controlled clinical trials. JAMA 2001, 286(10):1218-1227.
  • [6]The Look AHEAD Research Group: Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med 2010, 170(17):1566-1575.
  • [7]Andrews RC, Cooper AR, Montgomery AA, Norcross AJ, Peters TJ, Sharp DJ, Jackson N, Fitzsimons K, Bright J, Coulman K, et al.: Diet or diet plus physical activity versus usual care in patients with newly diagnosed type 2 diabetes: the Early ACTID randomised controlled trial. Lancet 2011, 378(9786):129-139.
  • [8]Echouffo-Tcheugui JB, Sargeant LA, Prevost AT, Williams KM, Barling RS, Butler R, Fanshawe T, Kinmonth AL, Wareham NJ, Griffin SJ: How much might cardiovascular disease risk be reduced by intensive therapy in people with screen-detected diabetes? Diabet Med 2008, 25(12):1433-1439.
  • [9]Morrato EH, Hill JO, Wyatt HR, Ghushchyan V, Sullivan PW: Physical activity in U.S. adults with diabetes and at risk for developing diabetes, 2003. Diabetes Care 2007, 30(2):203-209.
  • [10]Al-Kaabi J, Al-Maskari F, Saadi H, Afandi B, Parkar H, Nagelkerke N: Physical activity and reported barriers to activity among type 2 diabetic patients in the United Arab Emirates. Rev Diabet Stud 2009, 6(4):271-278.
  • [11]Lechner L, Bolman C, Van Dijke M: Factors related to misperception of physical activity in The Netherlands and implications for health promotion programmes. Health Promot Int 2006, 21(2):104-112.
  • [12]Ronda G, Van Assema P, Brug J: Stages of change, psychological factors and awareness of physical activity levels in the Netherlands. Health Promot Int 2001, 16(4):305-314.
  • [13]van Sluijs E, Griffin S, van Poppel M: A cross-sectional study of awareness of physical activity: associations with personal, behavioral and psychosocial factors. Int J Behav Nutr Phys Act 2007, 4:53.
  • [14]Watkinson C, van Sluijs EM, Sutton S, Hardeman W, Corder K, Griffin SJ: Overestimation of physical activity level is associated with lower BMI: a cross-sectional analysis. Int J Behav Nutr Phys Act 2010, 7:68.
  • [15]Kipnis V, Freedman LS, Brown CC, Hartman AM, Schatzkin A, Wacholder S: Effect of measurement error on energy-adjustment models in nutritional epidemiology. Am J Epidemiol 1997, 146(10):842-855.
  • [16]Day N, Wong M, Bingham S, Khaw K, Luben R, Michels K, Welch A, Wareham N: Correlated measurement error—implications for nutritional epidemiology. Int J Epidemiol 2004, 33(6):1373-1381.
  • [17]Griffin SJ, Simmons RK, Williams KM, Prevost AT, Hardeman W, Grant J, Whittle F, Boase S, Hobbis I, Brage S, et al.: Protocol for the ADDITION-Plus study: a randomised controlled trial of an individually-tailored behaviour change intervention among people with recently diagnosed type 2 diabetes under intensive UK general practice care. BMC Publ Health 2011, 11:211.
  • [18]Brage S, Brage N, Franks P, Ekelund U, Wareham N: Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 2005, 59(4):561-570.
  • [19]Brage S, Ekelund U, Brage N, Hennings M, Froberg K, Franks P, Wareham N: Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol 2007, 103(2):682-692.
  • [20]Stegle O, Fallert S, MacKay D, Brage S: Gaussian process robust regression for noisy heart rate data. IEEE Trans Biomed Eng 2008, 55(9):2143-2151.
  • [21]Brage S, Brage N, Franks PW, Ekelund U, Wong MY, Andersen LB, Froberg K, Wareham NJ: Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. J Appl Physiol 2004, 96(1):343-351.
  • [22]Wareham NJ, Jakes RW, Rennie KL, Mitchell J, Hennings S, Day NE: Validity and repeatability of the EPIC-Norfolk physical activity questionnaire. Int J Epidemiol 2002, 31(1):168-174.
  • [23]Ainsworth B, Haskell W, Whitt M, Irwin M, Swartz A, Strath S, O’Brien W, Bassett D, Schmitz K, Emplaincourt P: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000, 32:S498-S504.
  • [24]James WP, Scholfield EC: Human Energy Requirements. Oxford: Oxford Medical Publications; 1990.
  • [25]Corder K, van Sluijs EM, Wright A, Whincup P, Wareham NJ, Ekelund U: Is it possible to assess free-living physical activity and energy expenditure in young people by self-report? Am J Clin Nutr 2009, 89(3):862-870.
  • [26]Mahabir S, Baer DJ, Giffen C, Clevidence BA, Campbell WS, Taylor PR, Hartman TJ: Comparison of energy expenditure estimates from 4 physical activity questionnaires with doubly labeled water estimates in postmenopausal women. Am J Clin Nutr 2006, 84(1):230-236.
  • [27]World Health Organisation: Obesity and overweight. 2011, Fact sheet N°311. Geneva: WHO; 2011. http://www.who.int/mediacentre/factsheets/fs311/en/ webcite (accessed 14 Aug 2012)
  • [28]Bingham S, Gill C, Welch A, Cassidy A, Runswick S, Oakes S, Lubin R, Thurnham D, Key T, Roe L: Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. Int J Epidemiol 1997, 26(1):S137-S151.
  • [29]Rabin R, de Charro F: EQ-5D: a measure of health status from the EuroQol Group. Ann Med 2001, 33(5):337-343.
  • [30]EuroQol: EuroQol--a new facility for the measurement of health-related quality of life. Health Policy 1990, 16(3):199-208.
  • [31]Bradley C, Todd C, Gorton T, Symonds E, Martin A, Plowright R: The development of an individualized questionnaire measure of perceived impact of diabetes on quality of life: the ADDQoL. Qual Life Res 1999, 8(1–2):79-91.
  • [32]Ware JS, Kosinski M, Gandek B: SF-36 Health Survey. Manual and Interpretation Guide. USA: Quality Metric Inc.; 1993.
  • [33]Bradley C: The Diabetes Treatment Satisfaction Questionnaire: DTSQ. USA: Harwood Academic Publishers; 1994. [Handbook of psychology and diabetes: a guide to psychological measurement in diabetes research and practice]
  • [34]Ajzen I: The theory of planned behavior. Organ Behav Hum Decis Process 1991, 50:179-211.
  • [35]Hardeman W, Sutton S, Griffin S, Johnston M, White A, Wareham N, Kinmonth A: A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation. Health Educ Res 2005, 20(6):676-687.
  • [36]Sutton S, French DP, Hennings SJ, Mitchell J, Wareham NJ, Griffin S, Hardeman W, Kinmonth AL: Eliciting salient beliefs in research on the theory of planned behaviour: the effect of question wording. Curr Psychol 2003, 22(3):234-251.
  • [37]Csizmadi I, Lo Siou G, Friedenreich C, Owen N, Robson P: Hours spent and energy expended in physical activity domains: results from The Tomorrow Project cohort in Alberta, Canada. Int J Behav Nutr Phys Act 2011, 8(1):110.
  • [38]The Interact Consortium: Validity of a short questionnaire to assess physical activity in 10 European countries. Eur J Epidemiol 2012, 27(1):15-25.
  • [39]Adams SA, Matthews CE, Ebbeling CB, Moore CG, Cunningham JE, Fulton J, Hebert JR: The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol 2005, 161(4):389-398.
  • [40]Jequier E: Thermogenic responses induced by nutrients in man: their importance in energy balance regulation. Experientia Suppl 1983, 44:26-44.
  • [41]Strath S, Brage S, Ekelund U: Integration of physiological and accelerometer data to improve physical activity assessment. Med Sci Sports Exerc 2005, 37(11 Suppl):S563-S571.
  • [42]Thompson D, Batterham AM, Bock S, Robson C, Stokes K: Assessment of low-to-moderate intensity physical activity thermo genesis in young adults using synchronized heart rate and accelerometry with branched-equation modeling. J Nutr 2006, 136(4):1037-1042.
  • [43]Crouter SE, Churilla JR, Bassett DR Jr: Accuracy of the Actiheart for the assessment of energy expenditure in adults. Eur J Clin Nutr 2007, 62(6):704-711.
  • [44]Assah FK, Ekelund U, Brage S, Wright A, Mbanya JC, Wareham NJ: Accuracy and validity of a combined heart rate and motion sensor for the measurement of free-living physical activity energy expenditure in adults in Cameroon. Int J Epidemiol 2011, 40(1):112-120.
  • [45]Department of Health: National surveys of NHS patients General Practice 2002. England: DoH; 2002. http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsStatistics/DH_4119522 webcite
  • [46]Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, Hu ZX, Lin J, Xiao JZ, Cao HB, et al.: Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997, 20(4):537-544.
  • [47]Tuomilehto J, Lindstrom J, Eriksson J, Valle T, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001, 344(18):1343-1350.
  • [48]Knowler W, Barrett-Connor E, Fowler S, Hamman R, Lachin J, Walker E, Nathan D: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002, 346(6):393-403.
  • [49]Godin G, Valois P, Shephard RJ, Desharnais R: Prediction of leisure-time exercise behavior: a path analysis (LISREL V) model. J Behav Med 1987, 10(2):145-158.
  • [50]Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, Stave CD, Olkin I, Sirard JR: Using pedometers to increase physical activity and improve health: a systematic review. JAMA 2007, 298(19):2296-2304.
  • [51]Michie S, Abraham C, Whittington C, McAteer J, Gupta S: Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol 2009, 28(6):690-701.
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