Skip to main content
Top
Published in: BMC Public Health 1/2012

Open Access 01-12-2012 | Research article

The impact of diabetes prevention on labour force participation and income of older Australians: an economic study

Authors: Megan E Passey, Rupendra N Shrestha, Melanie Y Bertram, Deborah J Schofield, Theo Vos, Emily J Callander, Richard Percival, Simon J Kelly

Published in: BMC Public Health | Issue 1/2012

Login to get access

Abstract

Background

Globally, diabetes is estimated to affect 246 million people and is increasing. In Australia diabetes has been made a national health priority. While the direct costs of treating diabetes are substantial, and rising, the indirect costs are considered greater. There is evidence that interventions to prevent diabetes are effective, and cost-effective, but the impact on labour force participation and income has not been assessed. In this study we quantify the potential impact of implementing a diabetes prevention program, using screening and either metformin or a lifestyle intervention on individual economic outcomes of pre-diabetic Australians aged 45-64.

Methods

The output of an epidemiological microsimulation model of the reduction in prevalence of diabetes from a lifestyle or metformin intervention, and another microsimulation model, Health&WealthMOD, of health and the associated impacts on labour force participation, personal income, savings, government revenue and expenditure were used to quantify the estimated outcomes of the two interventions.

Results

An additional 753 person years in the labour force would have been achieved from 1993 to 2003 for the male cohort aged 60-64 years in 2003, if a lifestyle intervention had been introduced in 1983; with 890 person years for the equivalent female group. The impact on labour force participation was lower for the metformin intervention, and increased with age for both interventions. The male cohort aged 60-64 years in 2003 would have earned an additional $30 million in income with the metformin intervention, and the equivalent female cohort would have earned an additional $25 million. If the lifestyle intervention was introduced, the same male and female cohorts would have earned an additional $34 million and $28 million respectively from 1993 to 2003. For the individuals involved, on average, males would have earned an additional $44,600 per year and females an additional $31,800 per year, if they had continued to work as a result of preventing diabetes.

Conclusions

In addition to improved health and wellbeing, considerable benefits to individuals, in terms of both additional working years and increased personal income, could be made by introducing either a lifestyle or metformin intervention to prevent diabetes.
Appendix
Available only for authorised users
Literature
2.
go back to reference Vijan S, Hayward RA, Langa KM: The impact of Diabetes on workforce participation: results from a National Household Sample. Heal Serv Res. 2004, 39 (6): 1653-1670. 10.1111/j.1475-6773.2004.00311.x.CrossRef Vijan S, Hayward RA, Langa KM: The impact of Diabetes on workforce participation: results from a National Household Sample. Heal Serv Res. 2004, 39 (6): 1653-1670. 10.1111/j.1475-6773.2004.00311.x.CrossRef
3.
go back to reference Wild S, Roglic G, Green A, Sicree R, King H: Global prevelance of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004, 27 (5): 1047-1053. 10.2337/diacare.27.5.1047.CrossRefPubMed Wild S, Roglic G, Green A, Sicree R, King H: Global prevelance of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004, 27 (5): 1047-1053. 10.2337/diacare.27.5.1047.CrossRefPubMed
4.
go back to reference Australian Institute of Health and Welfare: Prevention of cardiovascular disease, diabetes and chronic kidney disease: targeting risk factors. 2009, Canberra: AIHW Australian Institute of Health and Welfare: Prevention of cardiovascular disease, diabetes and chronic kidney disease: targeting risk factors. 2009, Canberra: AIHW
5.
go back to reference Begg SJ, Vos T, Barker B, Stanley L, Lopez AD: Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injuries and risk factors. Med J Aust. 2008, 188 (1): 36-40.PubMed Begg SJ, Vos T, Barker B, Stanley L, Lopez AD: Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injuries and risk factors. Med J Aust. 2008, 188 (1): 36-40.PubMed
6.
go back to reference Colagiuri S, Colagiuri R, Conway B, Grainger D, Davey P: DiabCost Australia: Assessing the burden of Type 2 Diabetes in Australia. 2002, Canberra: Diabetes Australia Colagiuri S, Colagiuri R, Conway B, Grainger D, Davey P: DiabCost Australia: Assessing the burden of Type 2 Diabetes in Australia. 2002, Canberra: Diabetes Australia
7.
go back to reference Goss J: Projection of Australian health care expenditure by disease, 2003 to 2033. Cat. no. HWE 43. 2008, Canberra: Australian Institute of Health and Welfare Goss J: Projection of Australian health care expenditure by disease, 2003 to 2033. Cat. no. HWE 43. 2008, Canberra: Australian Institute of Health and Welfare
8.
go back to reference Dall T, Mann SE, Zhang Y, Martin J, Chen Y, Hogan P: Economic costs of Diabetes in the US in 2007. Diabetes Care. 2008, 31 (3): 1-20. Dall T, Mann SE, Zhang Y, Martin J, Chen Y, Hogan P: Economic costs of Diabetes in the US in 2007. Diabetes Care. 2008, 31 (3): 1-20.
9.
go back to reference Schofield DJ, Shrestha RN, Passey ME, Earnest A, Fletcher SL: Chronic disease and labour force participation among older Australians. Med J Aust. 2008, 189 (8): 447-PubMed Schofield DJ, Shrestha RN, Passey ME, Earnest A, Fletcher SL: Chronic disease and labour force participation among older Australians. Med J Aust. 2008, 189 (8): 447-PubMed
10.
go back to reference Schofield D, Percival R, Passey M, Shrestha R, Callander E, Kelly S: The financial vulnerability of individuals with diabetes. Br J Diabetes Vasc Dis. 2010, 10 (6): 300-304. 10.1177/1474651410385864.CrossRef Schofield D, Percival R, Passey M, Shrestha R, Callander E, Kelly S: The financial vulnerability of individuals with diabetes. Br J Diabetes Vasc Dis. 2010, 10 (6): 300-304. 10.1177/1474651410385864.CrossRef
11.
go back to reference Schofield D, Shrestha R, Percival R, Passey M, Kelly S, Callander E: Economic Impacts of Illness in Older Workers: Quantifying the impact of illness on income, tax revenue and government spending. BMC Publ Health. 2011, 11: 418-10.1186/1471-2458-11-418.CrossRef Schofield D, Shrestha R, Percival R, Passey M, Kelly S, Callander E: Economic Impacts of Illness in Older Workers: Quantifying the impact of illness on income, tax revenue and government spending. BMC Publ Health. 2011, 11: 418-10.1186/1471-2458-11-418.CrossRef
12.
go back to reference Edelstein SL, Knowler WC, Bain RP, Andres R, Barrett-Connor E, Dowse GK, Haffner SM, Pettitt DJ, Sorkin JD, Muller DC, et al: Predictors of progression from impaired glucose tolerance to NIDDM: an alanysis of six prospective studies. Diabetes. 1997, 46 (4): 710-710.CrossRef Edelstein SL, Knowler WC, Bain RP, Andres R, Barrett-Connor E, Dowse GK, Haffner SM, Pettitt DJ, Sorkin JD, Muller DC, et al: Predictors of progression from impaired glucose tolerance to NIDDM: an alanysis of six prospective studies. Diabetes. 1997, 46 (4): 710-710.CrossRef
13.
go back to reference Gillies CL, Abrams KR, Lambert PC, Cooper NJ, Sutton AJ, Hsu RT, Khunti K: Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. Br Med J. 2007, 334: 299-308. 10.1136/bmj.39063.689375.55.CrossRef Gillies CL, Abrams KR, Lambert PC, Cooper NJ, Sutton AJ, Hsu RT, Khunti K: Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. Br Med J. 2007, 334: 299-308. 10.1136/bmj.39063.689375.55.CrossRef
14.
go back to reference Diabetes Prevention Program Research Group: Reduction in the incidence of type 2 diabetes with lifestyle intervention or Metformin. N Engl J Med. 2002, 346 (6): 393-403.CrossRefPubMedCentral Diabetes Prevention Program Research Group: Reduction in the incidence of type 2 diabetes with lifestyle intervention or Metformin. N Engl J Med. 2002, 346 (6): 393-403.CrossRefPubMedCentral
15.
go back to reference Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, Hämäläinen H, Härkönen P, Keinänen-Kiukaanniemi S, Laakso M, et al: Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. The Lancet. 2006, 368 (9548): Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, Hämäläinen H, Härkönen P, Keinänen-Kiukaanniemi S, Laakso M, et al: Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. The Lancet. 2006, 368 (9548):
16.
go back to reference Bertram MY, Lim SS, Barendregt JJ, Vos T: Assessing the cost-effectiveness of interventions in pre-diabetic people to prevent the onset of diabetes. Diabetologia. 2010, 53 (5): 875-881. 10.1007/s00125-010-1661-8.CrossRefPubMed Bertram MY, Lim SS, Barendregt JJ, Vos T: Assessing the cost-effectiveness of interventions in pre-diabetic people to prevent the onset of diabetes. Diabetologia. 2010, 53 (5): 875-881. 10.1007/s00125-010-1661-8.CrossRefPubMed
17.
go back to reference Commonwealth of Australia: Intergenerational Report 2007-08. 2007, Canberra: Department of The Treasury Commonwealth of Australia: Intergenerational Report 2007-08. 2007, Canberra: Department of The Treasury
18.
go back to reference Schofield D, Shrestha R, Percival R, Kelly S, Passey M, Callander E, Fletcher S: Modelling the cost of ill health in Health&WealthMOD (Version II): lost labour force participation, income and taxation, and the impact of disease prevention. Int J Microsimulation. 2011, 4 (3): 33-37. Schofield D, Shrestha R, Percival R, Kelly S, Passey M, Callander E, Fletcher S: Modelling the cost of ill health in Health&WealthMOD (Version II): lost labour force participation, income and taxation, and the impact of disease prevention. Int J Microsimulation. 2011, 4 (3): 33-37.
19.
go back to reference Australian Bureau of Statistics: Information Paper--Basic Confidentialised Unit Record File: Survey of Disability, Ageing and Carers 2003 (reissue). 2005, Canberra: Australian Bureau of Statistics Australian Bureau of Statistics: Information Paper--Basic Confidentialised Unit Record File: Survey of Disability, Ageing and Carers 2003 (reissue). 2005, Canberra: Australian Bureau of Statistics
20.
go back to reference Lambert S, Percival R, Schofield D, Paul S: An Introduction to STINMOD: A Static Microsimulation Model. 1994, Canberra: NATSEM Lambert S, Percival R, Schofield D, Paul S: An Introduction to STINMOD: A Static Microsimulation Model. 1994, Canberra: NATSEM
21.
go back to reference Percival R, Abello A, Vu QN: STINMOD (Static Income Model) 2007. Modelling Our Future: Population ageing, health and aged care. Edited by: Gupta A, Harding A. 2007, Amsterdam: Elsevier B.V Percival R, Abello A, Vu QN: STINMOD (Static Income Model) 2007. Modelling Our Future: Population ageing, health and aged care. Edited by: Gupta A, Harding A. 2007, Amsterdam: Elsevier B.V
22.
go back to reference Rässler S: Statistical matching: A frequentist theory, practical applications, and alternative Bayesian approaches. 2002, New York: Springer-Verlag New York, IncCrossRef Rässler S: Statistical matching: A frequentist theory, practical applications, and alternative Bayesian approaches. 2002, New York: Springer-Verlag New York, IncCrossRef
23.
go back to reference Bertram M, Vos T: Quantifying the duration of pre-diabetes. Aust New Zeal J Publ Health. 2010, 34 (3): 311-314. 10.1111/j.1753-6405.2010.00532.x.CrossRef Bertram M, Vos T: Quantifying the duration of pre-diabetes. Aust New Zeal J Publ Health. 2010, 34 (3): 311-314. 10.1111/j.1753-6405.2010.00532.x.CrossRef
24.
go back to reference Department of Health and Ageing: General Practice in Australia: 2004. 2005, Canberra: Budget and Performance Branch, Primary Care Division, Department of Health and Ageing Department of Health and Ageing: General Practice in Australia: 2004. 2005, Canberra: Budget and Performance Branch, Primary Care Division, Department of Health and Ageing
25.
go back to reference Chew DP, Carter R, Rankin B, Boyden A, Egan H: Cost effectiveness of a general practice chronic disease management plan for coronary heart disease in Australia. Aust Heal Rev. 2010, 34: 162-169. 10.1071/AH09742.CrossRef Chew DP, Carter R, Rankin B, Boyden A, Egan H: Cost effectiveness of a general practice chronic disease management plan for coronary heart disease in Australia. Aust Heal Rev. 2010, 34: 162-169. 10.1071/AH09742.CrossRef
26.
go back to reference Lavigne JE, Phelps CE, Mushlin A, Lednar WM: Reductions in individual work productivity associated with Type 2 Diabetes Mellitus. PharmacoEconomics. 2003, 21 (15): 1123-1134. 10.2165/00019053-200321150-00006.CrossRefPubMed Lavigne JE, Phelps CE, Mushlin A, Lednar WM: Reductions in individual work productivity associated with Type 2 Diabetes Mellitus. PharmacoEconomics. 2003, 21 (15): 1123-1134. 10.2165/00019053-200321150-00006.CrossRefPubMed
27.
go back to reference Herquelot E, Gueguen A, Bonenfant S, Dray-Spira R: Impact of diabetes on work cessation: data from the GAZEL cohort study. Diabetes Care. 2011, 34 (6): 1344-1349. 10.2337/dc10-2225.CrossRefPubMedPubMedCentral Herquelot E, Gueguen A, Bonenfant S, Dray-Spira R: Impact of diabetes on work cessation: data from the GAZEL cohort study. Diabetes Care. 2011, 34 (6): 1344-1349. 10.2337/dc10-2225.CrossRefPubMedPubMedCentral
28.
go back to reference Westerlund H, Vahtera J, Ferrie JE, Singh-Manoux A, Pentti J, Melchior M, Leineweber C, Jokela M, Siegrist J, Goldberg M, et al: Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study. BMJ. 2010, 341: c6149-10.1136/bmj.c6149.CrossRefPubMedPubMedCentral Westerlund H, Vahtera J, Ferrie JE, Singh-Manoux A, Pentti J, Melchior M, Leineweber C, Jokela M, Siegrist J, Goldberg M, et al: Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study. BMJ. 2010, 341: c6149-10.1136/bmj.c6149.CrossRefPubMedPubMedCentral
29.
go back to reference Barcelo A, Aedo C, Rajpathak S, Robles S: The cost of diabetes in Latin America and the Caribbean. Bull World Health Organ. 2003, 81 (1): 19-27.PubMedPubMedCentral Barcelo A, Aedo C, Rajpathak S, Robles S: The cost of diabetes in Latin America and the Caribbean. Bull World Health Organ. 2003, 81 (1): 19-27.PubMedPubMedCentral
30.
go back to reference Bolin K, Gip C, Mork AC, Lindgren B: Diabetes, healthcare cost and loss of productivity in Sweden 1987 and 2005--a register-based approach. Diabet Med. 2009, 26 (9): 928-934. 10.1111/j.1464-5491.2009.02786.x.CrossRefPubMed Bolin K, Gip C, Mork AC, Lindgren B: Diabetes, healthcare cost and loss of productivity in Sweden 1987 and 2005--a register-based approach. Diabet Med. 2009, 26 (9): 928-934. 10.1111/j.1464-5491.2009.02786.x.CrossRefPubMed
32.
go back to reference Dall TM, Zhang Y, Chen YJ, Quick WW, Yang WG, Fogli J: The economic burden of diabetes. Health Aff (Millwood). 2010, 29 (2): 297-303. 10.1377/hlthaff.2009.0155.CrossRef Dall TM, Zhang Y, Chen YJ, Quick WW, Yang WG, Fogli J: The economic burden of diabetes. Health Aff (Millwood). 2010, 29 (2): 297-303. 10.1377/hlthaff.2009.0155.CrossRef
33.
go back to reference Dall T, Mann SE, Zhang Y, Martin J, Chen Y, Hogan P: Economic costs of diabetes in the U.S. In 2007. Diabetes Care. 2008, 31 (3): 596-615.CrossRef Dall T, Mann SE, Zhang Y, Martin J, Chen Y, Hogan P: Economic costs of diabetes in the U.S. In 2007. Diabetes Care. 2008, 31 (3): 596-615.CrossRef
34.
go back to reference Ettaro L, Songer TJ, Zhang P, Engelgau MM: Cost-of-illness studies in diabetes mellitus. PharmacoEconomics. 2004, 22 (3): 149-164. 10.2165/00019053-200422030-00002.CrossRefPubMed Ettaro L, Songer TJ, Zhang P, Engelgau MM: Cost-of-illness studies in diabetes mellitus. PharmacoEconomics. 2004, 22 (3): 149-164. 10.2165/00019053-200422030-00002.CrossRefPubMed
35.
go back to reference Australian Institute of Health and Welfare: Health system expenditure on disease and injury in Australia, 2004-05. 2010, Canberra: AIHW Australian Institute of Health and Welfare: Health system expenditure on disease and injury in Australia, 2004-05. 2010, Canberra: AIHW
38.
go back to reference Tunceli K, Bradley CJ, Nerenz D, Williams LK, Pladevall M, Lafata JE: The impact of diabetes on employment and work productivity. Diabetes Care. 2005, 28 (11): 2662-2667. 10.2337/diacare.28.11.2662.CrossRefPubMed Tunceli K, Bradley CJ, Nerenz D, Williams LK, Pladevall M, Lafata JE: The impact of diabetes on employment and work productivity. Diabetes Care. 2005, 28 (11): 2662-2667. 10.2337/diacare.28.11.2662.CrossRefPubMed
39.
go back to reference Organisation for Economic Co-operation and Development: Ageing societies. OECD Factbook 2008. 2008, Paris: OECD Organisation for Economic Co-operation and Development: Ageing societies. OECD Factbook 2008. 2008, Paris: OECD
40.
go back to reference Ellis R: Population slowdown would unleash high inflation. 2010, Canberra: News Limited, The Australian Ellis R: Population slowdown would unleash high inflation. 2010, Canberra: News Limited, The Australian
42.
go back to reference Australian Bureau of Statistics: Retirement and retirement intentions, Australia. 2007, Canberra: ABS Australian Bureau of Statistics: Retirement and retirement intentions, Australia. 2007, Canberra: ABS
Metadata
Title
The impact of diabetes prevention on labour force participation and income of older Australians: an economic study
Authors
Megan E Passey
Rupendra N Shrestha
Melanie Y Bertram
Deborah J Schofield
Theo Vos
Emily J Callander
Richard Percival
Simon J Kelly
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2012
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-12-16

Other articles of this Issue 1/2012

BMC Public Health 1/2012 Go to the issue