Educational Differences in Diabetes Mortality among Hispanics in the United States: An Epidemiological Analysis of Vital Statistics Data (1989–2018)

Background: Diabetes accounted for approximately 10% of all-cause mortality among those 20–79 years of age worldwide in 2019. In 1986–1989, Hispanics in the United States of America (USA) represented 6.9% of the national population with diabetes, and this proportion increased to 15.1% in 2010–2014. Recently published findings demonstrated the impact of attained education on amenable mortality attributable to diabetes among Non-Hispanic Whites (NHWs) and Non-Hispanic Blacks (HNBs). Previous cohort studies have shown that low education is also a detrimental factor for diabetes mortality among the Hispanic population in the USA. However, the long-term impact of low education on diabetes mortality among Hispanics in the USA is yet to be determined. Aims and methods: The aim of this study was to measure the impact of achieving a 12th-grade education on amenable mortality due to diabetes among Hispanics in the USA from 1989 to 2018. We used a time-series designed to analyze death certificate data of Hispanic-classified men and women, aged 25 to 74 years, whose underlying cause of death was diabetes, between 1989 and 2018. Death certificate data from the USA National Center for Health Statistics was downloaded, as well as USA population estimates by age, sex, and ethnicity from the USA Census Bureau. The analyses were undertaken using JointPoint software and the Age–Period–Cohort Web Tool, both developed by the USA National Cancer Institute. Results: The analyses showed that between 1989 to 2018, age- and sex-standardized diabetes mortality rates among the least educated individuals were higher than those among the most educated individuals (both sexes together, p = 0.036; males, p = 0.053; females, p = 0.036). The difference between the least and most educated individuals became more pronounced in recent years, as shown by independent confidence intervals across the study period. Sex-based analyses revealed that the age-adjUSAted diabetes mortality rate had increased to a greater extent among the least educated males and females, respectively, than among the most educated. Conclusions: The results of the analyses demonstrated a powerful effect of low education on amenable mortality attributable to diabetes among the Hispanic population in the USA. As an increasing prevalence of diabetes among the least educated Hispanics has been reported, there is a great need to identify and implement effective preventive services, self-management, and quality care practices, that may assist in reducing the growing disparity among those most vulnerable, such as minority populations.

[1]  S. Saydah,et al.  Trends and socioeconomic disparities in all-cause mortality among adults with diagnosed diabetes by race/ethnicity: a population-based cohort study - USA, 1997–2015 , 2021, BMJ Open.

[2]  E. Vásquez,et al.  Diabetes prevalence among diverse Hispanic populations: considering nativity, ethnic discrimination, acculturation, and BMI , 2021, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.

[3]  J. Buscemi,et al.  Diabetes Mortality Across the 30 Biggest U.S. Cities: Assessing Overall Trends and Racial Inequities. , 2021, Diabetes research and clinical practice.

[4]  T. N. Harrison,et al.  Prevalence and incidence of microvascular and macrovascular complications over 15 years among patients with incident type 2 diabetes , 2021, BMJ Open Diabetes Research & Care.

[5]  A. Cantoral,et al.  Review: Type 2 diabetes in Latin America and the Caribbean: Regional and country comparison on prevalence, trends, costs and expanded prevention. , 2020, Primary care diabetes.

[6]  Qi Sun,et al.  The impact of acculturation to the US environment on the dietary share of ultra-processed foods among US adults. , 2020, Preventive medicine.

[7]  A. Barcelo,et al.  The role of education and ethnicity on amenable mortality due to five leading non-communicable diseases among Blacks and Whites in the United States, 1990-2015 , 2020, Journal of Global Health Reports.

[8]  S. Wild,et al.  Mortality attributable to diabetes in 20-79 years old adults, 2019 estimates: results from the International Diabetes Federation Diabetes Atlas, 9th edition. , 2020, Diabetes research and clinical practice.

[9]  S. Saydah,et al.  Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016. , 2019, JAMA.

[10]  J. Sussman,et al.  Hispanic representation in diabetes cardiovascular outcomes trials , 2019, BMJ Open Diabetes Research & Care.

[11]  N. Lazar,et al.  Moving to a World Beyond “p < 0.05” , 2019, The American Statistician.

[12]  P. Wilson,et al.  Diabetes Mellitus–Related All‐Cause and Cardiovascular Mortality in a National Cohort of Adults , 2019, Journal of the American Heart Association.

[13]  S. Woolf,et al.  Educational Disparities in Adult Mortality Across U.S. States: How Do They Differ, and Have They Changed Since the Mid-1980s? , 2019, Demography.

[14]  L. Geiss,et al.  Trends in cause-specific mortality among adults with and without diagnosed diabetes in the USA: an epidemiological analysis of linked national survey and vital statistics data , 2018, The Lancet.

[15]  C. Monteiro,et al.  Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study , 2018, BMJ Open.

[16]  Craig M. Hales,et al.  Prevalence of Obesity Among Adults and Youth: United States, 2015-2016. , 2017, NCHS data brief.

[17]  G. Beckles,et al.  Disparities in the Prevalence of Diagnosed Diabetes - United States, 1999-2002 and 2011-2014. , 2016, MMWR. Morbidity and mortality weekly report.

[18]  Mark D Hayward,et al.  Trends and group differences in the association between educational attainment and U.S. adult mortality: implications for understanding education's causal influence. , 2015, Social science & medicine.

[19]  Bruce G. Link,et al.  Trends in education gradients of 'preventable' mortality: a test of fundamental cause theory. , 2015, Social science & medicine.

[20]  B. Zhang,et al.  Time trends and age-period-cohort analyses on incidence rates of thyroid cancer in Shanghai and Hong Kong , 2014, BMC Cancer.

[21]  Theodore J Thompson,et al.  Trends in lifetime risk and years of life lost due to diabetes in the USA, 1985-2011: a modelling study. , 2014, The lancet. Diabetes & endocrinology.

[22]  P. Rosenberg,et al.  A Web Tool for Age–Period–Cohort Analysis of Cancer Incidence and Mortality Rates , 2014, Cancer Epidemiology, Biomarkers & Prevention.

[23]  N. Schneiderman,et al.  Prevalence of Diabetes Among Hispanics/Latinos From Diverse Backgrounds: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) , 2014, Diabetes Care.

[24]  Ellen Nolte,et al.  In amenable mortality--deaths avoidable through health care--progress in the US lags that of three European countries. , 2012, Health affairs.

[25]  Mark D. Hayward,et al.  Educational Attainment and Adult Mortality in the United States: A Systematic Analysis of Functional Form , 2012, Demography.

[26]  M. Mckee,et al.  Variations in amenable mortality--trends in 16 high-income nations. , 2011, Health policy.

[27]  P. Rosenberg,et al.  Age-Period-Cohort Models in Cancer Surveillance Research: Ready for Prime Time? , 2011, Cancer Epidemiology, Biomarkers & Prevention.

[28]  P. Pozzilli,et al.  Body weight and beauty: the changing face of the ideal female body weight , 2011, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[29]  R. G. Rogers,et al.  Educational Degrees and Adult Mortality Risk in the United States , 2010, Biodemography and social biology.

[30]  F. Brancati,et al.  Educational Disparities in Mortality Among Adults With Diabetes in the U.S. , 2010, Diabetes Care.

[31]  R. Tiwari,et al.  (www.interscience.wiley.com) DOI: 10.1002/sim.3733 Estimating average annual per cent change in trend analysis , 2022 .

[32]  D. Cutler,et al.  The gap gets bigger: changes in mortality and life expectancy, by education, 1981-2000. , 2008, Health affairs.

[33]  N. Goldman,et al.  Socioeconomic gradients in health for white and Mexican-origin populations. , 2006, American journal of public health.

[34]  Martin McKee,et al.  Measuring the health of nations: analysis of mortality amenable to health care , 2003, BMJ : British Medical Journal.

[35]  Katherine Newman,et al.  Socioeconomic disparities in health: pathways and policies. , 2002, Health affairs.

[36]  E. Feuer,et al.  Permutation tests for joinpoint regression with applications to cancer rates. , 2000, Statistics in medicine.

[37]  V. N. Slee,et al.  The International Classification of Diseases: ninth revision (ICD-9) , 1978, Annals of internal medicine.

[38]  E B Perrin,et al.  Measuring the quality of medical care. A clinical method. , 1976, The New England journal of medicine.

[39]  J. DiSantostefano,et al.  International Classification of Diseases 10th Revision (ICD-10) , 2009 .

[40]  Ellen Nolte,et al.  Measuring the health of nations: updating an earlier analysis. , 2008, Health affairs.

[41]  E. Crimmins,et al.  The Significance of Socioeconomic Status in Explaining the Racial Gap in Chronic Health Conditions , 2000, American Sociological Review.