| BMC Public Health | |
| Participant characteristics associated with greater reductions in waist circumference during a four-month, pedometer-based, workplace health program | |
| Anna Peeters1  Kathryn Backholer1  Helen Walls1  Rory Wolfe1  Rosanne LA Freak-Poli1  | |
| [1] 1Department of Epidemiology & Preventive Medicine, Faculty of Medicine, Nursing & Health Sciences, School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, Alfred Hospital, Commercial Road, Melbourne, Victoria 3004, Australia | |
| 关键词: pedometer; physical activity; health promotion; diabetes; cardiovascular disease; risk-factor; prevention; association; workplace; waist circumference; | |
| Others : 1164112 DOI : 10.1186/1471-2458-11-824 |
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| received in 2011-02-16, accepted in 2011-10-25, 发布年份 2011 | |
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【 摘 要 】
Background
Workplace health programs have demonstrated improvements in a number of risk factors for chronic disease. However, there has been little investigation of participant characteristics that may be associated with change in risk factors during such programs. The aim of this paper is to identify participant characteristics associated with improved waist circumference (WC) following participation in a four-month, pedometer-based, physical activity, workplace health program.
Methods
762 adults employed in primarily sedentary occupations and voluntarily enrolled in a four-month workplace program aimed at increasing physical activity were recruited from ten Australian worksites in 2008. Seventy-nine percent returned at the end of the health program. Data included demographic, behavioural, anthropometric and biomedical measurements. WC change (before versus after) was assessed by multivariable linear and logistic regression analyses. Seven groupings of potential associated variables from baseline were sequentially added to build progressively larger regression models.
Results
Greater improvement in WC during the program was associated with having completed tertiary education, consuming two or less standard alcoholic beverages in one occasion in the twelve months prior to baseline, undertaking less baseline weekend sitting time and lower baseline total cholesterol. A greater WC at baseline was strongly associated with a greater improvement in WC. A sub-analysis in participants with a 'high-risk' baseline WC revealed that younger age, enrolling for reasons other than appearance, undertaking less weekend sitting time at baseline, eating two or more pieces of fruit per day at baseline, higher baseline physical functioning and lower baseline body mass index were associated with greater odds of moving to 'low risk' WC at the end of the program.
Conclusions
While employees with 'high-risk' WC at baseline experienced the greatest improvements in WC, the other variables associated with greater WC improvement were generally indicators of better baseline health. These results indicate that employees who started with better health, potentially due to lifestyle or recent behavioural changes, were more likely to respond positively to the program. Future health program initiators should think innovatively to encourage all enrolees along the health spectrum to achieve a successful outcome.
【 授权许可】
2011 Freak-Poli et al; licensee BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
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| 20150413131901520.pdf | 291KB | ||
| Figure 1. | 40KB | Image |
【 图 表 】
Figure 1.
【 参考文献 】
- [1]World Health Organization & World Economic Forum: Preventing Noncommunicable Diseases in the Workplace through Diet and Physical Activity: WHO/World Economic Forum Report of a Joint Event. Geneva: World Health Organization; 2008.
- [2]Goetzel RZ, Ozminkowski RJ: The health and cost benefits of work site health-promotion programs. Annu Rev Public Health 2008, 29:303-323.
- [3]Conn VS, Hafdahl AR, Cooper PS, Brown LM, Lusk SL: Meta-analysis of workplace physical activity interventions. Am J Prev Med 2009, 37(4):330-339.
- [4]Eaton CB, Menard LM: A systematic review of physical activity promotion in primary care office settings. Br J Sports Med 1998, 32(1):11-16.
- [5]Katz DL, O'Connell M, Yeh MC, Nawaz H, Njike V, Anderson LM, Cory S, Dietz W: Public health strategies for preventing and controlling overweight and obesity in school and worksite settings: a report on recommendations of the Task Force on Community Preventive Services. MMWR Recomm Rep 2005, 54(RR-10):1-12.
- [6]Task Force on Community Preventive Services: Recommendations for worksite-based interventions to improve workers' health. Am J Prev Med 2010, 38(2 Suppl):S232-236.
- [7]Robroek SJ, van Lenthe FJ, van Empelen P, Burdorf A: Determinants of participation in worksite health promotion programmes: a systematic review. Int J Behav Nutr Phys Act 2009, 6:26. BioMed Central Full Text
- [8]Soler RE, Leeks KD, Razi S, Hopkins DP, Griffith M, Aten A, Chattopadhyay SK, Smith SC, Habarta N, Goetzel RZ, et al.: A systematic review of selected interventions for worksite health promotion. The assessment of health risks with feedback. Am J Prev Med 2010, 38(2 Suppl):S237-262.
- [9]Freak-Poli R, Wolfe R, Backholer K, de Courten M, Peeters A: Impact of a pedometer-based workplace health program on cardiovascular and diabetes risk profile. Prev Med 2011, 53(3):162-171.
- [10]Kwak L, Kremers SP, Candel MJ, Visscher TL, Brug J, van Baak MA: Changes in skinfold thickness and waist circumference after 12 and 24 months resulting from the NHF-NRG In Balance-project. Int J Behav Nutr Phys Act 2010, 7:26. BioMed Central Full Text
- [11]Feller S, Boeing H, Pischon T: Body mass index, waist circumference, and the risk of type 2 diabetes mellitus: implications for routine clinical practice. Dtsch Arztebl Int 2010, 107(26):470-476.
- [12]Wang Z, Hoy WE: Body size measurements as predictors of type 2 diabetes in Aboriginal people. Int J Obes Relat Metab Disord 2004, 28(12):1580-1584.
- [13]Wang Z, Hoy WE: Waist circumference, body mass index, hip circumference and waist-to-hip ratio as predictors of cardiovascular disease in Aboriginal people. Eur J Clin Nutr 2004, 58(6):888-893.
- [14]Chan CB, Ryan DA, Tudor-Locke C: Health benefits of a pedometer-based physical activity intervention in sedentary workers. Prev Med 2004, 39(6):1215-1222.
- [15]Freak-Poli R, Wolfe R, Peeters A: Risk of cardiovascular disease and diabetes in a working population with sedentary occupations. J Occup Environ Med 2010, 52(11):1132-1137.
- [16]World Health Organisation: WHO STEPS instrument. Geneva: Department of Chronic Diseases and Health Promotion, World Health Organisation; 2002.
- [17]Dunstan DW, Zimmet PZ, Welborn TA, Cameron AJ, Shaw J, de Courten M, Jolley D, McCarty DJ, Australian Diabetes O, Lifestyle S: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)--methods and response rates. Diabetes Res Clin Pract 2002, 57(2):119-129.
- [18]Giles GG, English DR: The Melbourne Collaborative Cohort Study. IARC Sci Publ 2002, 156:69-70.
- [19]Ball K, Brown W, Crawford D: Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obes Relat Metab Disord 2002, 26(12):1570-1578.
- [20]Reduce Your Risk: New National Guidelines for Alcohol Consumption [http:/ / www.health.gov.au/ internet/ alcohol/ publishing.nsf/ Content/ 36E6FEE732C8DF1BCA25767200769CD8/ $File/ adult.pdf] webcite 2011. Accessed Feb
- [21]Baik I, Ascherio A, Rimm EB, Giovannucci E, Spiegelman D, Stampfer MJ, Willett WC: Adiposity and mortality in men. American journal of epidemiology 2000, 152(3):264-271.
- [22]Visscher TL, Seidell JC, Molarius A, van der Kuip D, Hofman A, Witteman JC: A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. Int J Obes Relat Metab Disord 2001, 25(11):1730-1735.
- [23]Jacobs EJ, Newton CC, Wang Y, Patel AV, McCullough ML, Campbell PT, Thun MJ, Gapstur SM: Waist circumference and all-cause mortality in a large US cohort. Arch Intern Med 2010, 170(15):1293-1301.
- [24]Testa G, Cacciatore F, Galizia G, Della-Morte D, Mazzella F, Langellotto A, Russo S, Gargiulo G, De Santis D, Ferrara N, et al.: Waist Circumference but Not Body Mass Index Predicts Long-Term Mortality in Elderly Subjects with Chronic Heart Failure. J Am Geriatr Soc 2010.
- [25]Seidell JC: Waist circumference and waist/hip ratio in relation to all-cause mortality, cancer and sleep apnea. Eur J Clin Nutr 2010, 64(1):35-41.
- [26]Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM: When is baseline adjustment useful in analyses of change? An example with education and cognitive change. American journal of epidemiology 2005, 162(3):267-278.
- [27]Richmond R, Wodak A, Bourne S, Heather N: Screening for unhealthy lifestyle factors in the workplace. Aust N Z J Public Health 1998, 22(3 Suppl):324-331.
- [28]Sorensen G, Stoddard A, Ockene JK, Hunt MK, Youngstrom R: Worker participation in an integrated health promotion/health protection program: results from the WellWorks project. Health Educ Q 1996, 23(2):191-203.
- [29]Australian Institute of Health and Welfare (AIHW): Australia's health 2008. Cat. no. AUS 99. Canberra: AIHW; 2008.
- [30]DHAC (Commonwealth Government Department of Health and Aged Care): National physical activity guidelines for Australians. Canberra: DHAC; 1999.
- [31]Royal Australian College of General Practitioners. National Preventive and Community Medicine Committee In Guidelines for preventive activities in general practice. 7th edition. Victoria: The Royal Australian College of General Practitioners; 2009.
- [32]National Health and Medical Research Council (NHMRC): Food for health: Dietary Guidelines for all Australians. Canberra: NHMRC; 2003.
- [33]Huang N: Guide to management of hypertension. Australian Prescriber 2006, 31(6):150-153.
- [34]National Health and Medical Research Council (NHMRC): Overweight and obesity in adults: a guide for general practitioners. Canberra: NHMRC; 2003.
- [35]World Health Organization (WHO): Obesity: preventing and managing the global epidemic. In Who Technical Report Series 894. WHO Consultation on Obesity. Geneva: WHO; 2004.
- [36]National Health and Medical Research Council (NHMRC): Clinical practice guidelines for the management of overweight and obesity in adults. Canberra: NHMRC; 2003.
- [37]High blood cholesterol [http://www.aihw.gov.au/riskfactors/cholesterol.cfm] webcite
- [38]National Heart Foundation of Australia and the Cardiac Society of Australia and New Zealand: Position Statement on Lipid Management-2005 Heart Lung and Circulation. 2005, 14:275-291.
- [39]Baker IDI Heart and Diabetes Institute on behalf of the Australian State and Territory Governments as part of the COAG initiative to reduce the risk of type 2 diabetes: The Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). Department of Health and Ageing, Australian Government; 2008.
- [40]Chen L, Magliano DJ, Balkau B, Colagiuri S, Zimmet PZ, Tonkin AM, Mitchell P, Phillips PJ, Shaw JE: AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust 2010, 192(4):197-202.
- [41]D'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel WB: General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 2008, 117(6):743-753.
- [42]National Vascular Disease Prevention Alliance: Absolute cardiovascular disease risk. Technical report: review of the evidence and evidence-based recommendations for practice. 2009.
- [43]Guidelines for the assessment of absolute cardiovascular disease risk [http:/ / www.heartfoundation.org.au/ SiteCollectionDocuments/ absolute-risk-assessement.pdf] webcite
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