The impact of diabetes on the productivity and economy of Bangladesh
Aims To estimate the impact of type 2 diabetes in terms of mortality, years of life lost (YLL) and productivity-adjusted life years (PALY) lost in Bangladesh.Methods A life table model was constructed to estimate the productivity of the Bangladeshi population of current working age (20–59 years) wit...
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BMJ Publishing Group
2020-06-01
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| Series: | BMJ Global Health |
| Online Access: | https://gh.bmj.com/content/5/6/e002420.full |
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| author | Danny Liew Lei Chen Zanfina Ademi Ella Zomer Dianna J Magliano Afsana Afroz Thomas R Hird Alice Owen Baki Billah |
| author_facet | Danny Liew Lei Chen Zanfina Ademi Ella Zomer Dianna J Magliano Afsana Afroz Thomas R Hird Alice Owen Baki Billah |
| author_sort | Danny Liew |
| collection | DOAJ |
| description | Aims To estimate the impact of type 2 diabetes in terms of mortality, years of life lost (YLL) and productivity-adjusted life years (PALY) lost in Bangladesh.Methods A life table model was constructed to estimate the productivity of the Bangladeshi population of current working age (20–59 years) with diabetes. Follow-up to 60 years (retirement age) was simulated. The life table analysis was then repeated assuming that the cohort did not have diabetes, with subsequent improvement in productivity. Differences in the results of the two analyses reflected the impact of diabetes on health and productivity. Demographic and the prevalence of diabetes data were sourced from the International Diabetes Foundation estimates for 2017 and mortality data were based on the 2017 Global Burden of Disease study. Relative risk and productivity indices were based on an Indian and Bangladeshi study, respectively. The cost of each PALY was assumed to be equivalent to gross domestic product (GDP) per equivalent full-time worker (US$8763). Future costs and years of life, and PALYs lived were discounted at an annual rate of 3%.Results Assuming a follow-up of this population (aged 20–59 years) until age 60 years or death, an estimated 813 807 excess deaths, loss of 4.0 million life years (5.5%) and 9.2 million PALYs (20.4%) were attributable to having diabetes. This was equivalent to 0.7 YLL, and 1.6 PALYs lost per person. The loss in PALYs equated to a total of US$97.4 billion lost (US$16 987 per person) in GDP. The results of the scenario analysis showed that the estimation was robust.Conclusion In Bangladesh, the impact of diabetes on productivity loss and the broader economy looms large, and poses a substantial risk to the country’s future prosperity. This highlights the critical importance of health strategies aimed at the control of diabetes. |
| format | Article |
| id | doaj-art-bd9c870992ba46fc9f64ebc6bf37a6ab |
| institution | DOAJ |
| issn | 2059-7908 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Global Health |
| spelling | doaj-art-bd9c870992ba46fc9f64ebc6bf37a6ab2025-08-20T02:50:00ZengBMJ Publishing GroupBMJ Global Health2059-79082020-06-015610.1136/bmjgh-2020-002420The impact of diabetes on the productivity and economy of BangladeshDanny Liew0Lei Chen1Zanfina Ademi2Ella Zomer3Dianna J Magliano4Afsana Afroz5Thomas R Hird6Alice Owen7Baki Billah86 Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia1 Department of Neurosurgery, Xi`an International Medical Center, Xi’an, ChinaHealth Economics and Policy Evaluation Research (HEPER), Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Victoria, AustraliaSchool of Public Health and Preventive Medicine, Monash University Faculty of Medicine Nursing and Health Sciences, Melbourne, Victoria, AustraliaDiabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, Victoria, AustraliaDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, AustraliaDepartment of Epidemiology and Preventive Medicine, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, AustraliaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia1 School of Public Health and Preventive Medicine, Faculty of Medicine Nursing and Health Sciences, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, AustraliaAims To estimate the impact of type 2 diabetes in terms of mortality, years of life lost (YLL) and productivity-adjusted life years (PALY) lost in Bangladesh.Methods A life table model was constructed to estimate the productivity of the Bangladeshi population of current working age (20–59 years) with diabetes. Follow-up to 60 years (retirement age) was simulated. The life table analysis was then repeated assuming that the cohort did not have diabetes, with subsequent improvement in productivity. Differences in the results of the two analyses reflected the impact of diabetes on health and productivity. Demographic and the prevalence of diabetes data were sourced from the International Diabetes Foundation estimates for 2017 and mortality data were based on the 2017 Global Burden of Disease study. Relative risk and productivity indices were based on an Indian and Bangladeshi study, respectively. The cost of each PALY was assumed to be equivalent to gross domestic product (GDP) per equivalent full-time worker (US$8763). Future costs and years of life, and PALYs lived were discounted at an annual rate of 3%.Results Assuming a follow-up of this population (aged 20–59 years) until age 60 years or death, an estimated 813 807 excess deaths, loss of 4.0 million life years (5.5%) and 9.2 million PALYs (20.4%) were attributable to having diabetes. This was equivalent to 0.7 YLL, and 1.6 PALYs lost per person. The loss in PALYs equated to a total of US$97.4 billion lost (US$16 987 per person) in GDP. The results of the scenario analysis showed that the estimation was robust.Conclusion In Bangladesh, the impact of diabetes on productivity loss and the broader economy looms large, and poses a substantial risk to the country’s future prosperity. This highlights the critical importance of health strategies aimed at the control of diabetes.https://gh.bmj.com/content/5/6/e002420.full |
| spellingShingle | Danny Liew Lei Chen Zanfina Ademi Ella Zomer Dianna J Magliano Afsana Afroz Thomas R Hird Alice Owen Baki Billah The impact of diabetes on the productivity and economy of Bangladesh BMJ Global Health |
| title | The impact of diabetes on the productivity and economy of Bangladesh |
| title_full | The impact of diabetes on the productivity and economy of Bangladesh |
| title_fullStr | The impact of diabetes on the productivity and economy of Bangladesh |
| title_full_unstemmed | The impact of diabetes on the productivity and economy of Bangladesh |
| title_short | The impact of diabetes on the productivity and economy of Bangladesh |
| title_sort | impact of diabetes on the productivity and economy of bangladesh |
| url | https://gh.bmj.com/content/5/6/e002420.full |
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