Diabetes-attributable mortality in the United States from 2003 to 2016 using a multiple-cause-of-death approach

Rodríguez, Fátima; Blum, Manuel R.; Falasinnu, Titilola; Hastings, Katherine; Hu, Junjie; Cullen, Mark R.; Palaniappan, Latha

doi:10.1016/j.diabres.2019.01.015

Cited by 33 publications

(18 citation statements)

References 27 publications

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“…However, not all studies reported a reduction of mortality [ 14 , 15 ]. Namely, our results are consistent with recent findings from the US obtained by a similar multiple causes of death approach: diabetes-related mortality declined, with a decreasing share of cardiovascular diseases among deaths with the mention of diabetes [ 16 ].…”

Section: Discussionsupporting

confidence: 92%

Time series of diabetes attributable mortality from 2008 to 2017

Fedeli

Schievano

Masotto

et al. 2021

J Endocrinol Invest

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Purpose Diabetes is a growing health problem. The aim of this study was to capture time trends in mortality associated with diabetes. Methods The mortality database of the Veneto region (Italy) includes both the underlying causes of death, and all the diseases mentioned in the death certificate. The annual percent change (APC) in age-standardized rates from 2008 to 2017 was computed by the Joinpoint Regression Program. Results Overall 453,972 deaths (56,074 with mention of diabetes) were observed among subjects aged ≥ 40 years. Mortality rates declined for diabetes as the underlying cause of death and from diabetes-related circulatory diseases. The latter declined especially in females − 4.4 (CI 95% − 5.3/− 3.4), while in males the APC was − 2.8 (CI 95% − 4.0/− 1.6). Conclusion We observed a significant reduction in mortality during the period 2008–2017 in diabetes either as underlying cause of death or when all mentions of diabetes in the death certificate were considered.

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Section: Discussionsupporting

confidence: 92%

Time series of diabetes attributable mortality from 2008 to 2017

Fedeli

Schievano

Masotto

et al. 2021

J Endocrinol Invest

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“…Diabetes mellitus (DM) is a major contributor to global mortality and disability. The incidence of DM is rapidly growing in both developing and the developed countries [1, 2]. Both genetic and environmental factors contribute to DM development by inducing insulin resistance and β -cell dysfunction [3, 4].…”

Section: Introductionmentioning

confidence: 99%

Decreased Insulin Secretion but Unchanged Glucose Homeostasis in Cadmium-Exposed Male C57BL/6 Mice

et al. 2019

Journal of Toxicology

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Cadmium (Cd) is a well-known toxic metal element that is largely distributed in the environment. Cd causes toxicity to most organs. Accumulating evidence suggests that Cd exposure is associated with islet dysfunction and development of diabetes, but the association remains controversial. The aim of this study is to evaluate the possible effects of chronic Cd exposure on glucose metabolism in male C57BL/6 mice. Mice were intraperitoneally injected with CdCl2 solution (1 mg.kg−1) twice a week for 24 weeks. Fasting blood glucose (FBG) levels and body weights were measured weekly. After 24 weeks, the intraperitoneal glucose tolerance test (IPGTT), intraperitoneal insulin tolerance test (IPITT), and fasting serum insulin (FSI) level test were performed. The insulin resistance index (HOMA-IR) and pancreatic β cell function index (HOMA-β) were calculated and analyzed. The expression of insulin receptor (IR) in mouse liver was detected by real-time PCR. Pancreatic tissue was collected for histological examination. The results demonstrated that FBG, IPGTT, HOMA-IR, and HOMA-β were identical between Cd exposure and control mice. In contract, mean fasting serum insulin level, area under the curve (AUC) of IPITT, and IR expression in livers of Cd-exposed mice decreased significantly compared with control mice. Cd administration induced islet atrophy and decreased islet area. The results suggested that Cd exposure decreased insulin secretion and maintained glucose homeostasis in male C57BL/6 mice and that pancreatic functions should be monitored in populations chronically exposed to Cd.

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“…Having complete death registration data is particularly important when concerned with assessing multiple causes of death. For example, recent studies demonstrated how a multiple-cause-of-death approach is useful to characterise the contribution of diabetes ( Rodriguez et al , 2019 ) and falls ( Kiadaliri et al , 2019 ) to mortality. Here, we assessed the utility of contributory cause of death versus underlying cause of death using the example of smoking as a risk factor for cause-specific mortality.…”

Section: Discussionmentioning

confidence: 99%

Linking death registration and survey data: Procedures and cohort profile for The Irish Longitudinal Study on Ageing

et al. 2020

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Background: Research on mortality at the population level has been severely restricted by an absence of linked death registration and survey data in Ireland. We describe the steps taken to link death registration information with survey data from a nationally representative prospective study of community-dwelling older adults. We also provide a profile of decedents among this cohort and compare mortality rates to population-level mortality data. Finally, we compare the utility of analysing underlying versus contributory causes of death. Methods: Death records were obtained for 779 (90.3% of all confirmed deaths at that time) and linked to individual level survey data from The Irish Longitudinal Study on Ageing (TILDA). Results: Overall, 9.1% of participants died during the nine-year follow-up period and the average age at death was 75.3 years. Neoplasms were identified as the underlying cause of death for 37.0%; 32.9% of deaths were attributable to diseases of the circulatory system; 14.4% due to diseases of the respiratory system; while the remaining 15.8% of deaths occurred due to all other causes. Mortality rates among younger TILDA participants closely aligned with those observed in the population but TILDA mortality rates were slightly lower in the older age groups. Contributory cause of death provides similar estimates as underlying cause when we examined the association between smoking and all-cause and cause-specific mortality. Conclusions: This new data infrastructure provides many opportunities to contribute to our understanding of the social, behavioural, economic, and health antecedents to mortality and to inform public policies aimed at addressing inequalities in mortality and end-of-life care.

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Diabetes-attributable mortality in the United States from 2003 to 2016 using a multiple-cause-of-death approach

Cited by 33 publications

References 27 publications

Time series of diabetes attributable mortality from 2008 to 2017

Time series of diabetes attributable mortality from 2008 to 2017

Decreased Insulin Secretion but Unchanged Glucose Homeostasis in Cadmium-Exposed Male C57BL/6 Mice

Linking death registration and survey data: Procedures and cohort profile for The Irish Longitudinal Study on Ageing

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