Mexican mortality 1990‒2016: Comparison of unadjusted and adjusted estimates

Mortality and Years of Life Lost From Cardiometabolic Diseases in Mexico: National and State-Level Trends, 1998-2022

OBJECTIVES

Cardiometabolic diseases (CMDs) are highly prevalent in Mexico. We analyzed the evolution of mortality from CMDs in Mexico at the national and state level, as well as their contribution to years of life lost (YLL), from 1998 through 2022.

METHODS

We conducted an observational study based on a public database. We calculated age-standardized mortality rates, conducted joinpoint regression analyses to determine changes in the trend and magnitude of mortality over time, and calculated YLL from CMDs among people in Mexico nationally and by state.

RESULTS

From 1998 through 2022, the age-standardized mortality rate from CMDs increased by 14.9% in Mexico. These rates reached their highest levels in 2020 and 2021 during the COVID-19 pandemic. In 2022, people aged 0 through 84 years had 3.9 YLL from CMDs, which represented an increase of 0.4 years compared with 1998. From 1998 through 2022, age-standardized mortality rates increased for heart disease, diabetes mellitus, and hypertension but decreased for stroke.

CONCLUSIONS

Mortality and YLL from CMDs have steadily increased among people in Mexico, driven mainly by heart disease and diabetes mellitus. YLL attributable to CMDs could be prevented by early care and health prevention policies. Decision makers should work to implement robust and enduring health policies focused on shared risk factors underlying these diseases.

Assessing mortality registration in Kerala: the MARANAM study

Complete or improving civil registration systems in sub-national areas in low- and middle-income countries provide several opportunities to better understand population health and its determinants. In this article, we provide an assessment of vital statistics in Kerala, India. Kerala is home to more than 33 million people and is a comparatively low-mortality context. We use individual-level vital registration data on more than 2.8 million deaths between 2006 and 2017 from the Kerala MARANAM (Mortality and Registration Assessment and Monitoring) Study. Comparing age-specific mortality rates from the Civil Registration System (CRS) to those from the Sample Registration System (SRS), we do not find evidence that the CRS underestimates mortality. Instead, CRS rates are smoother across ages and less variable across periods. In particular, the CRS records higher death rates than the SRS for ages, where mortality is usually low and for women. Using these data, we provide the first set of annual sex-specific life tables for any state in India. We find that life expectancy at birth was 77.9 years for women in 2017 and 71.4 years for men. Although Kerala is unique in many ways, our findings strengthen the case for more careful attention to mortality records within low- and middle-income countries, and for their better dissemination by government agencies.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s41118-021-00149-z.

Investigating regional excess mortality during 2020 COVID-19 pandemic in selected Latin American countries

In this paper, we measure the effect of the 2020 COVID-19 pandemic wave at the national and subnational levels in selected Latin American countries that were most affected: Brazil, Chile, Ecuador, Guatemala, Mexico, and Peru. We used publicly available monthly mortality data to measure the impacts of the pandemic using excess mortality for each country and its regions. We compare the mortality, at national and regional levels, in 2020 to the mortality levels of recent trends and provide estimates of the impact of mortality on life expectancy at birth. Our findings indicate that from April 2020 on, mortality exceeded its usual monthly levels in multiple areas of each country. In Mexico and Peru, excess mortality was spreading through many areas by the end of the second half of 2020. To a lesser extent, we observed a similar pattern in Brazil, Chile, and Ecuador. We also found that as the pandemic progressed, excess mortality became more visible in areas with poorer socioeconomic and sanitary conditions. This excess mortality has reduced life expectancy across these countries by 2-10 years. Despite the lack of reliable information on COVID-19 mortality, excess mortality is a useful indicator for measuring the effects of the coronavirus pandemic, especially in the context of Latin American countries, where there is still a lack of good information on causes of death in their vital registration systems.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s41118-021-00139-1.