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The impact of diabetes on the productivity and economy of Bangladesh

Bibliographic Data

ID21879377
AuthorsAfroza Akhter (0000-0001-7309-5280, Monash University, corresponding author), Thomas R Hird (0000-0003-3423-4617, Baker Heart and Diabetes Institute), Ella Zomer (0000-0002-9993-4297, Monash University), Alice J Owens (0000-0002-4807-6069, Monash University), Alice Owen (Department of Epidemiology and Preventive Medicine, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia), Lei Chen (0009-0003-4632-4932, Baker Heart and Diabetes Institute), Zanfina Ademi (0000-0002-0625-3522, Monash University), Danny Liew (0000-0002-0131-623X, Monash University), Dianna J Magliano (0000-0002-9507-6096, Baker Heart and Diabetes Institute), Baki Billah (0000-0002-0419-8216, Monash University)
Year2020
Volume5
Issue6
Pagese002420
Publication date2020-06-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2020-002420
PMID32532757
OpenAlexW3035562369
LanguageEN
Citations received5
References cited26

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

Diabetes mellitus · Economic growth · Economics · Environmental health · Gross domestic product · Life expectancy · Life table · Mortality rate · Population · Productivity · Years of potential life lost · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Global Public Health Policies and Epidemiology · Healthcare Systems and Reforms · Medicine · Gerontology · Surgery

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Citations per year0.63
Citation span2018 - 2025 (8)
Highly citedNo

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