The Productivity Burden of Diabetes at a Population Level

被引:56
作者
Magliano, Dianna J. [1 ,2 ]
Martin, Valencia J. [1 ]
Owen, Alice J. [1 ]
Zomer, Ella [1 ]
Liew, Danny [1 ]
机构
[1] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[2] Baker Heart & Diabet Inst, Melbourne, Vic, Australia
基金
英国医学研究理事会;
关键词
LIFETIME RISK; TYPE-2; MELLITUS; ONSET;
D O I
10.2337/dc17-2138
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE Recent studies suggest that diabetes may impact work productivity. In the current study, we sought to estimate the lifetime and population impact of diabetes on productivity using the novel measure of "productivity-adjusted life years" (PALYs). RESEARCH DESIGN AND METHODS Using age-specific mortality rates and a productivity index attributable to diabetes (akin to the quality of life index, but which adjusts for reduction in productivity) and life table modeling, we estimated years of life and PALYs lost to diabetes among Australians with diabetes currently aged 20-65 years, with follow-up until 69 years. Life tables were first constructed for the cohort with diabetes and then repeated for the same cohort but with the assumption that they no longer had diabetes. The "nondiabetic" cohort had lower mortality rates and improved productivity. The differences in total years of life lived and PALYs lived between the two cohorts reflected the impact of diabetes. RESULTS Overall, diabetes reduced total years of life lived by the cohort by 190,219 years or almost 3%. Diabetes reduced PALYs by 11.6% and 10.5% among men and women, respectively. For both sexes, the impact of diabetes on productivity was lowest in those aged 65-69 years and highest in those 20-24 years. Among the latter, PALYs were reduced by 12.2% and 11.0% for men and women, respectively. CONCLUSIONS Elimination of diabetes can prolong life years lived by the whole population and increase the amount of productive years lived. Employers and government should be aware that having diabetes affects work force productivity and implement prevention programs to reduce the impact of diabetes on the workforce.
引用
收藏
页码:979 / 984
页数:6
相关论文
共 23 条
  • [1] Overview of pharmacoeconomic modelling methods
    Ademi, Zanfina
    Kim, Hansoo
    Zomer, Ella
    Reid, Christopher M.
    Hollingsworth, Bruce
    Liew, Danny
    [J]. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2013, 75 (04) : 944 - 950
  • [2] Can Chronic Disease Management Programs for Patients with Type 2 Diabetes Reduce Productivity-Related Indirect Costs of the Disease? Evidence from a Randomized Controlled Trial
    Adepoju, Omolola E.
    Bolin, Jane N.
    Ohsfeldt, Robert L.
    Phillips, Charles D.
    Zhao, Hongwei
    Ory, Marcia G.
    Forjuoh, Samuel N.
    [J]. POPULATION HEALTH MANAGEMENT, 2014, 17 (02) : 112 - 120
  • [3] An Inverse Relationship Between Age of Type 2 Diabetes Onset and Complication Risk and Mortality: The Impact of Youth-Onset Type 2 Diabetes
    Al-Saeed, Abdulghani H.
    Constantino, Maria I.
    Molyneaux, Lynda
    D'Souza, Mario
    Limacher-Gisler, Franziska
    Luo, Connie
    Wu, Ted
    Twigg, Stephen M.
    Yue, Dennis K.
    Wong, Jencia
    [J]. DIABETES CARE, 2016, 39 (05) : 823 - 829
  • [4] [Anonymous], 2013, AUSTR HLTH SURV UPD
  • [5] [Anonymous], DIABETES CARE
  • [6] [Anonymous], 2009, DIABETES SERIES
  • [7] [Anonymous], DATA
  • [8] Response to Comment on: Bergenstal et al. A Randomized, Controlled Study of Once-Daily LY2605541, a Novel Long-Acting Basal Insulin, Versus Insulin Glargine in Basal Insulin Treated Patients With Type 2 Diabetes. Diabetes Care 2012;35:2140-2147
    Bergenstal, Richard M.
    Rosenstock, Julio
    Arakaki, Richard F.
    Prince, Melvin J.
    Qu, Yongming
    Sinha, Vikram P.
    Howey, Daniel C.
    Jacober, Scott J.
    [J]. DIABETES CARE, 2013, 36 (07) : E107 - +
  • [9] Brown HS, 2011, AM J MANAG CARE, V17, P569
  • [10] Howard K, 2012, HDB OCCUPATIONAL HLT