The impact of diabetes on the productivity and economy of Bangladesh

Rural and urban differences in the prevalence and determinants of Type-2 diabetes in Bangladesh

OBJECTIVE

To estimate the prevalence of Type 2 Diabetes (T2D) in urban and rural settings and identify the specific risk factors for each location.

METHOD

We conducted this study using data from the 2017-18 Bangladesh Demographic and Health Survey (BDHS), sourced from the DHS website. The survey employed a stratified two-stage sampling method, which included 7,658 women and 7,048 men aged 18 and older who had their blood glucose levels measured. We utilized chi-square tests and ordinal logistic regression to analyze the association between various selected variables in both urban and rural settings and their relationship with diabetes and prediabetes.

RESULTS

The prevalence of T2D was 10.8% in urban areas and 7.4% in rural areas, while pre-diabetes affected 31.4% and 27% of the populations in these respective settings. The study found significant factors influencing diabetes in both urban and rural regions, particularly in the 55-64 age group (Urban: AOR = 1.88, 95% CI [1.46, 2.42]; Rural: AOR = 1.87, 95% CI [1.54, 2.27]). Highly educated individuals had lower odds of T2D, while wealthier and overweight participants had higher odds in both areas. In rural regions, T2D risk was higher among caffeinated drink consumers and those not engaged in occupation-related physical activity, while these factors did not show significant influence in urban areas. Furthermore, urban participants displayed a significant association between T2D and hypertension.

CONCLUSION

Our study outlines a comprehensive strategy to combat the increasing prevalence of T2D in both urban and rural areas. It includes promoting healthier diets to control BMI level, encouraging regular physical activity, early detection through health check-ups, tailored awareness campaigns, improving healthcare access in rural regions, stress management in urban areas, community involvement, healthcare professional training, policy advocacy like sugary drink taxation, research, and monitoring interventions. These measures collectively address the T2D challenge while accommodating the distinct features of urban and rural settings.

The Burden of Type 2 Diabetes on the Productivity and Economy in Sub-Saharan Africa: A Life Table Modelling Analysis from a South African Perspective

BACKGROUND AND AIM

The prevalence of type 2 diabetes (T2D) is rapidly increasing in Sub-Saharan Africa (SSA). T2D increases the risk of premature death and reduces quality of life and work productivity. This population life table modelling analysis evaluated the impact of T2D in terms of productivity-adjusted life years (PALYs) on the South African working-age population.

RESEARCH DESIGN AND METHODS

Life table modelling was employed to simulate the follow-up of individuals aged 20-65 with T2D in South Africa (SA). Two life table models were developed to simulate health outcomes for a SA cohort with and without diabetes. The difference in the number of deaths, years of life lost (YLL), and PALYs lost between the two cohorts represented the burden of diabetes. Scenarios were simulated in which the proportions of gross domestic productivity (GDP), productivity indices, labour force dropout, and mortality risk trends were adjusted to lower and upper uncertainty bounds. Data were sourced from the International Diabetes Federation, Statistics SA, and both publicly available and published sources. We utilised the World Health Organization (WHO) standard annual discount rate of 3% for YLL and PALYs.

RESULTS

In 2019, an estimated 9.5% (7.68% men and 11.37% women) or 3.2 million total working-age people had T2D in SA. Simulated follow-up until retirement predicted 669,427 excess mortality, a loss of 6.2 million years of life (9.3%) and 13 million PALYs (30.6%) in SA. On average, this resulted in 3.1 PALYs lost per person. Based on the GDP per full-time employee in 2019, the PALYs loss equated to US$223 billion, or US$69,875 per person.

CONCLUSIONS

This study emphasises the significant impact of T2D on society and the economy. Relatively modest T2D prevention and treatment management enhancement could lead to substantial economic benefits in SA.

GAS5: A pivotal lncRNA in diabetes mellitus pathogenesis and management

The long non-coding RNA (lncRNA), GAS5, has garnered significant attention recently for its multifaceted involvement in cellular processes, particularly within the context of diabetes. This comprehensive review delves into the intricate molecular interactions associated with GAS5 and their profound implications for understanding, diagnosing, and effectively managing diabetes mellitus. The article begins by highlighting the global prevalence of diabetes and the urgent need for innovative insights into its underlying mechanisms and therapeutic approaches. It introduces GAS5 as a crucial regulator of gene expression, with emerging significance in the context of diabetes-related processes. The core of this review unravels the regulatory network of GAS5 in diabetes, elucidating its impact on various aspects of the disease. It explores how GAS5 influences insulin signaling pathways, glucose metabolism, and the function of β-cells, shedding light on its role in hyperglycemia and insulin resistance. Moreover, the article underscores the clinical relevance of GAS5's interactions by discussing their associations with different diabetes subtypes, predictive value, and potential applications as both diagnostic tools and therapeutic targets. It provides insights into ongoing research endeavours aimed at harnessing the potential of GAS5 for innovative disease management strategies, including the development of RNA-based therapeutics. Concluding with a forward-looking perspective, the abstract highlights the broader implications of GAS5 in the field of diabetes, such as its connection to diabetic complications and its potential for personalized approaches in disease management.

Loss of Productivity-Adjusted Life-Years in Working-Age Australians Due to Knee Osteoarthritis: A Life-Table Modeling Approach

OBJECTIVE

Productivity-adjusted life-years (PALYs) offers a novel approach for quantifying the productivity burden of chronic conditions at the population level over the working lifespan. This study was undertaken to estimate the productivity burden of knee osteoarthritis (KOA) among working-age Australians, defined as lost PALYs and lost gross domestic product (GDP).

METHODS

A static life-table model was constructed to simulate the experiences of working Australians (between the ages of 15-64 years) with KOA and those without KOA, with follow-up to 65 years (retirement age), a 1-year cycle length, and an annual discount rate of 5%. KOA prevalence data were obtained from the 2019 Global Burden of Diseases, Injuries, and Risk Factors study. Demographic and mortality data were sourced from the Australian Bureau of Statistics. Health utilities and productivity indices were derived from published sources. Population-level losses in years of life, quality-adjusted life-years (QALYs), and PALYs attributable to KOA were estimated by comparing estimates in the KOA cohort to the no KOA cohort.

RESULTS

In 2019, a total of 913,539 working-age Australians were estimated to have KOA, with an overall prevalence of 5.5% (4.5% in men and 6.5% in women). By retirement age, KOA was associated with 39,602 excess deaths, 125,651 years of life lost, 1,938,059 QALYs lost, and 1,943,287 PALYs lost. The economic impact of lost productivity due to KOA amounted to 424 billion Australian dollars in lost GDP.

CONCLUSION

Our modeling demonstrates a significant economic burden of KOA among the working Australian population, with marked productivity loss. Our findings highlight the need for public health funding and scalable population-level strategies for effective KOA prevention and support to maintain productive working.

Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh: Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017-18)

BACKGROUND AND AIMS

Prevalence of type 2 diabetes has been rising rapidly especially in low- and middle-income countries. The purpose of this study is to analyze the prevalence of type 2 diabetes in 2011 and 2017-18, and the risk factors based on the Bangladesh Demographic and Health Surveys (BDHS).

METHODS

The study comprised of data from the BDHS 2011 and the BDHS 2017-18 with 7565 (50.6% female) and 12,299 respondents (56.9% female) respectively. The plasma blood glucose was classified into normal, pre-diabetes, and diabetes categories. While univariate analysis was performed to determine the data, Chi-square and gamma analyses were used for bivariate estimation of the correlation between diabetes status and other comorbidities. Multinomial and ordinal logistic regression were also performed to trace the link between diabetes and various risk factors.

RESULTS

The 2011 BDHS survey indicated that nearly half of the participants (47.6%) had pre-diabetic condition, while 10.2% were diagnosed with diabetes. On the other hand, the BDHS 2017-18 demonstrated that 28.6% and 8.6% of participants had pre-diabetes and diabetes, respectively. Results of inferential statistics showed that gender (p<0.05), age, wealth status, physical activity, BMI (p<0.01), and caffeinated beverages (p<0.05), were significantly linked with diabetes status.

CONCLUSION

According to our findings, older people and people with lower education are more likely to develop diabetes. BMI` Physically active, wealth status, diet and lifestyle were significant predictors of type 2 diabetes. Healthy lifestyle, physical activities, proper knowledge and awareness can reduce the risk of T2D.

Lifetime impact of being underweight or overweight/obese during childhood in Vietnam

BACKGROUND

There is limited evidence about lifetime burden of child malnutrition. This study aimed to estimate the lifetime impact of being underweight or overweight/obese during childhood in Vietnam.

METHODS

We developed a life table model in combination with a Markov model for Vietnamese children aged 5-19 years and simulated until they reached 75 years of age or died using published data. The starting year was 2019 and the model estimated number of deaths, years of life lived and quality-adjusted life years (QALY) with an annual discount rate of 3%. We performed scenario, one-way, and probabilistic sensitivity analyses to assess the impact of uncertainties in input parameters.

RESULTS

The model estimated 9.68 million deaths (6.44 million men and 3.24 million women), 622 million years of life lived (317 million men and 305 million women), and 601 million QALYs (308 million men and 293 million women). Scenario analyses showed that the reduction in either underweight or overweight/obesity alone, and reduction in both underweight and overweight/obesity resulted in fewer deaths, more years of life lived and more QALYs gained. In the scenario where everyone was a healthy weight, the model estimated 577,267 fewer deaths (6.0% less), 2 million more years of life lived (0.3% more), and 3 million QALYs gained (0.6% more) over base-case results which represents current situation in Vietnam.

CONCLUSIONS

Our results suggest that addressing underweight and overweight/obesity will contribute to reducing deaths and increasing years of life lived and QALYs. Policies and interventions in alignment with Sustainable Development Goals to address underweight and overweight/obesity are necessary to achieve health for all.

Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults

Diabetes and prediabetes are overwhelming public health concerns in Bangladesh. However, there is a paucity of the literature examining and measuring socioeconomic inequalities in the prevalence of diabetes in Bangladesh. To provide reliable data and contribute to a nationwide scenario analysis, this study aims to estimate the inequality in prevalence of diabetes and prediabetes and to identify factors potentially contributing to socioeconomic inequalities in Bangladesh. This study used data from the latest Bangladesh Demographic and Health Survey (BDHS) 2017-18, a nationally representative survey. A regression-based decomposition method was applied to assess the socioeconomic contributors to inequality. The prevalence of diabetes and prediabetes were about 10 and 15% among Bangladeshi adults, respectively. Both diabetes and prediabetes were significantly associated with age, wealth status, suffering from overweight or obesity and administrative divisions of the respondents (p < 0.001). Respondents' household wealth status accounted for about 74 and 81% of the total inequality in diabetes and prediabetes in Bangladesh, respectively. Administrative region contributed 24.85% of the inequality in prediabetes and 12.26% of the inequality in diabetes. In addition, overweight or obesity status contributed 11.37% and exposure to television contributed 5.17% of the inequality in diabetes. Diabetes and prediabetes affect a substantial proportion of the Bangladeshi adult population. Therefore, these findings should be considered in the context of current and proposed policy decision making and for tracking its progression with economic development in Bangladesh.

Poor Self-Care Practices and Being Urban Resident Strongly Predict Chronic Complications Among Patients with Type 2 Diabetes in Eastern Ethiopia: A Hospital-Based Cross-Sectional Study

BACKGROUND

Diabetes, together with its complications, has a considerable negative influence on people's quality of life and healthcare delivery and raises diabetic mortality. However, there is limited information about the diabetes-associated chronic complications in the study setting. Therefore, this study aimed to determine the burden and factors related to the chronic complications among patients with type 2 diabetes (T2D) in Eastern Ethiopia.

METHODS

A hospital-based cross-sectional study was conducted among 879 patients with T2D at two public hospitals in Harar. The data were collected through interviews using a structured questionnaire. Data related to the diagnosis of chronic complications and biochemical tests were extracted from medical records. The outcome variable was the number of chronic complications that happened to the patients. A generalized Poisson regression model with robust variance estimation was used to investigate the association of independent variables with chronic complications. An adjusted prevalence ratio with a 95% CI was reported to show an association using a p-value ≤0.05.

RESULTS

One or more chronic complications were presented in 43% of T2D (95% CI: 39.65, 46.19). Macrovascular and microvascular complications were found in 27.6% and 23.5% of patients, respectively. Urban residence (APR = 2.64; 95% CI: 1.54, 4.54), low wealth status (APR = 1.80; 95% CI: 1.17, 2.76), diabetes duration ≥5 years (APR = 1.46; 95% CI: 1.05, 2.01), hypertriglyceridemia (APR = 1.48; 95% CI: 1.07, 2.09) and poor self-care practices (APR = 1.62; 95% CI: 1.18, 2.23) were factors significantly associated with the chronic complications.

CONCLUSION

The burden of chronic complications was high, with nearly half of T2D patients experiencing one or more chronic complications. Almost one in ten patients suffered from multiple chronic complications. The complications were mainly influenced by being urban resident, low wealth status, and poor self-care practices. Therefore, health care providers need to educate patients and promote self-care practices and healthy lifestyles to achieve treatment goals and lower the risk of chronic complications.

Changes in prevalence and risk factors of hypertension among adults in Bangladesh: An analysis of two waves of nationally representative surveys

Introduction

Bangladesh is one of the countries where the prevalence of non-communicable diseases (NCDs) such as hypertension is rising due to rising living standards, sedentary lifestyles, and epidemiological transition. Among the NCDs, hypertension is a major risk factor for CVD, accounting for half of all coronary heart disease worldwide. However, detailed research in this area has been limited in Bangladesh. The objective of the study was to estimate changes in the prevalence and risk factors of hypertension among Bangladeshi adult population. The study also sought to identify socioeconomic status-related inequality of hypertension prevalence in Bangladesh.

Methods

Cross-sectional analysis was conducted using nationally representative two waves of the Bangladesh Demographic and Health Survey (BDHS) in 2011 and 2017–18. Survey participants were adults 18 years or older- which included detailed biomarker and anthropometric measurements of 23539 participants. The change in prevalence of hypertension was estimated, and adjusted odds ratios were obtained using multivariable survey logistic regression models. Further, Wagstaff decomposition method was also used to analyze the relative contributions of factors to hypertension.

Results

From 2011 to 2018, the hypertension prevalence among adults aged ≥35 years increased from 25.84% to 39.40% (p<0.001), with the largest relative increase (97%) among obese individuals. The prevalence among women remained higher than men whereas the relative increase among men and women were 75% and 39%, respectively. Regression analysis identified age and BMI as the independent risk factors of hypertension. Other risk factors of hypertension were sex, marital status, education, geographic region, wealth index, and diabetes status in both survey years. Female adults had significantly higher hypertension risk in both survey years in the overall analysis in, however, in the subgroup analysis, the gender difference in hypertension risk was not significant in rural 2011 and urban 2018 samples. Decomposition analysis revealed that the contributions of socio-economic status related inequality of hypertension in 2011 were46.58% and 20.85% for wealth index and BMI, respectively. However, the contributions of wealth index and BMI have shifted to 12.60% and 55.29%, respectively in 2018.

Conclusion

The prevalence of hypertension among Bangladeshi adults has increased significantly, and there is no subgroup where it is decreasing. Population-level approaches directed at high-risk groups (overweight, obese) should be implemented thoroughly. We underscore prevention strategies by following strong collaboration with stakeholders in the health system of the country to adopt healthy lifestyle choices.

Productivity burden of hypertension in Japan

In the present study, we aimed to estimate the impact of hypertension in the working-age Japanese population. We developed life table models to estimate total deaths, years of life lived, and productivity-adjusted life years lived (a newly developed metric for quantifying the burden of acute and chronic health conditions on work productivity) among Japanese individuals with hypertension aged 20-64 years, with simulated follow-up until age 65 years. Data inputs were drawn from local population statistics and published sources. Gross domestic product per person employed, a measure of labor productivity, was used to assign an economic value to each productivity-adjusted life year lived. Outcomes and costs were discounted by 2% annually. In 2017, 26.3 million Japanese individuals aged 20-64 years (37.5%) had hypertension. Of these people, 23.7% were treated and had controlled blood pressure, 23.2% were treated but had uncontrolled blood pressure, and 53.1% were untreated. During the simulated follow-up until age 65 years, 335,342 deaths (28.0% of total deaths), 1.6 million years of life (0.8% of total), 3.1 million productivity-adjusted life years (1.9% of total), and US$242.9 billion or 28.3 trillion Japanese yen of gross domestic product were lost to hypertension. Our findings highlight the considerable economic burden of hypertension in Japan, as well as the importance of effective strategies for hypertension prevention and management, which are likely to deliver a significant return on investment.

The Preventable Productivity Burden of Kidney Disease in Australia

BACKGROUND

Kidney disease is associated with impaired work productivity. However, the collective effect of missed work days, reduced output at work, and early withdrawal from the workforce is rarely considered in health-economic evaluations.

METHODS

To determine the effect on work productivity of preventing incident cases of kidney disease, using the novel measure "productivity-adjusted life year" (PALY), we constructed a dynamic life table model for the Australian working-age population (aged 15-69 years) over 10 years (2020-2029), stratified by kidney-disease status. Input data, including productivity estimates, were sourced from the literature. We ascribed a financial value to the PALY metric in terms of gross domestic product (GDP) per equivalent full-time worker and assessed the total number of years lived, total PALYs, and broader economic costs (GDP per PALY). We repeated the model simulation, assuming a reduced kidney-disease incidence; the differences reflected the effects of preventing new kidney-disease cases. Outcomes were discounted by 5% annually.

RESULTS

Our projections indicate that, from 2020 to 2029, the estimated number of new kidney-disease cases will exceed 161,000. Preventing 10% of new cases of kidney disease during this period would result in >300 premature deaths averted and approximately 550 years of life and 7600 PALYs saved-equivalent to a savings of US$1.1 billion in GDP or US$67,000 per new case avoided.

CONCLUSIONS

Pursuing a relatively modest target for preventing kidney disease in Australia may prolong years of life lived and increase productive life years, resulting in substantial economic benefit. Our findings highlight the need for investment in preventive measures to reduce future cases of kidney disease.

The Health and Productivity Burden of Migraines in Australia

OBJECTIVE

This study aimed to quantify the health and productivity burden of migraines in Australia, measured by quality-adjusted life years (QALYs), productivity-adjusted life years (PALYs, a novel measure of productivity), and associated health-care and broader economic costs.

METHODS

A Markov state-transition model was constructed to simulate follow-up of Australians aged 20-64 years over the next 10 years. The model was first run using current prevalence estimates of migraine. It was then rerun assuming that people with migraine hypothetically did not have the condition. Differences in outcomes between the 2 model simulations represented the health and productivity burden attributable to migraine. All data inputs were obtained from published sources. Gross domestic product (GDP) per equivalent full-time worker in Australia was used to reflect the cost of each PALY (AU$177,092). Future costs and outcomes were discounted by 5% annually.

RESULTS

Currently, 1,274,319 million (8.5%) Australians aged 20-64 years have migraine. Over the next 10 years, migraine was predicted to lead to a loss of 2,577,783 (95% confidence interval [CI] 2,054,980 to 3,000,784) QALYs among this cohort (2.02 per person and 2.43% of total QALYs), and AU$1.67 (95% CI $1.16 to $2.37) billion in health-care costs (AU$1313 per person, 95% CI $914 to $1862). There would also be 384,740 (95% CI 299,102 to 479,803) PALYs lost (0.30 per person and 0.53% of total PALYs), resulting in AU$68.13 (95% CI $44.42 to $98.25) billion of lost GDP (AU$53,467 per person, 95% CI $34,855 to $77,102).

CONCLUSION

Migraines impose a substantial health and economic burden on Australians of working age. Funding interventions that reduce the prevalence of migraines and/or its effects are likely to provide sound return on investment.

The impact of coronary heart disease prevention on work productivity: a 10-year analysis

AIMS

To determine the impact of preventing new (incident) cases of coronary heart disease (CHD) on years of life and productivity, using the novel measure 'productivity-adjusted life year' (PALY), over the next 10 years.

METHODS AND RESULTS

A dynamic life table model was constructed for the total Australian working-age population (15-69 years) over 10 years (2020-2029), separated by CHD status. Productivity estimates were sourced from the literature. The PALY was ascribed a financial value in terms of gross domestic product (GDP) per equivalent full-time worker. The total number of years lived, PALYs, and economic burden (in terms of GDP per PALY) were estimated. The model simulation was repeated assuming incidence was reduced, and the differences represented the impact of CHD prevention. All outcomes were discounted by 5% per annum. Over 10 years, the total projected years lived and PALYs in the Australian working-age population (with and without CHD) were 133 million and 83 million, respectively, amounting to A$17.2 trillion in GDP. We predicted more than 290 000 new (incident) CHD cases over the next 10 years. If all new cases of CHD could be prevented during this period, a total of 4 000 deaths could be averted, resulting in more than 8 000 years of life saved and 104 000 PALYs gained, equivalent to a gain of nearly A$21.8 billion (US$14.8 billion) in GDP.

CONCLUSION

Prevention of CHD will prolong years of life lived and productive life years, resulting in substantial economic benefit. Policy makers and employers are encouraged to engage in preventive measures addressing CHD.

The costs of epilepsy in Australia

Objective

To determine the health economic burden of epilepsy for Australians of working age by using life table modeling and to model whether improved seizure control may result in substantial health economic benefits.

Methods

Life table modeling was used for working age Australians aged 15–69 years with epilepsy and the cohort was followed until age 70 years. Published 2017 population and epilepsy-related data regarding epilepsy prevalence, mortality, and productivity were used. This model was then re-simulated, assuming the cohort no longer had epilepsy. Differences in outcomes between these cohorts were attributed to epilepsy. Scenarios were also simulated in which the proportion of seizure-free patients increased from baseline 70% up to 75% and 80%.

Results

In 2017, Australians of working age with epilepsy followed until age 70 years were predicted to experience over 14,000 excess deaths, more than 78,000 years of life lost, and over 146,000 productivity-adjusted life years lost due to epilepsy. This resulted in lost gross domestic product (GDP) of US $22.1 billion. Increasing seizure freedom by 5% and 10% would reduce health care costs, save years of life, and translate to US $2.6 billion and US $5.3 billion GDP retained for seizure freedom rates of 75% and 80%, respectively.

Conclusions

Our study highlights the considerable societal and economic burden of epilepsy. Relatively modest improvements in overall seizure control could bring substantial economic benefits.