La santé dans les Amériques: Mortalité prématurée potentiellement évitable

Au cours des dernières décennies, l’état de santé général de la population s’est beaucoup amélioré, ce qui a augmenté l’espérance de vie à la naissance dans la plupart des pays de la Région des Amériques. Ces améliorations découlent des progrès des technologies de la santé, soit les antibiotiques, les vaccins et autres traitements, de l’amélioration des conditions de vie des personnes, notamment un accès accru à l’eau potable et à l’assainissement, et des services de santé. Néanmoins, ces progrès ont subi un ralentissement ces dernières années et les réalisations ont été variables d’un pays et d’un territoire à l’autre, ainsi qu'au sein d'un même pays ou d'un même territoire. En chemin vers la santé universelle, il est essentiel de disposer de la capacité à suivre et à évaluer les progrès, dans la perspective de l’objectif ultime des systèmes de santé : améliorer la santé et le bien-être des populations. À cette fin, la présente édition de La santé dans les Amériques analyse le taux normalisé de mortalité prématurée potentiellement évitable en tant qu’indicateur de résultats des systèmes de santé, en envisageant tant sa composante de prévention par des interventions intersectorielles et des interventions de santé publique, que sa composante thérapeutique, liée à l’efficacité réelle des systèmes de santé, c’est-à-dire à la qualité des soins. L’analyse de la mortalité prématurée potentiellement évitable offre une mesure permettant de suivre et de comparer les résultats au cours du temps. Cet outil analytique joue un rôle crucial en termes de redevabilité des systèmes de santé de la Région des Amériques. En outre, l’analyse de la mortalité prématurée potentiellement évitable souligne l’importance d’investir dans les services de santé mais aussi, de manière plus large, dans les déterminants environnementaux et sociaux de la santé. Cette approche est fondamentale pour garantir l’équité des résultats en matière de santé d’un pays à l’autre. En reconnaissant l’importance de ces déterminants, les pays peuvent élaborer des stratégies globales qui non seulement englobent les soins de la santé, mais aussi intègrent les politiques sociales visant à réduire les inégalités et à améliorer la santé globale de la population.

Cálculo do indicador de consumo de álcool per capita no Brasil: uso de dados nacionais / Calculation of the alcohol per capita consumption in Brazil: using national data / Cálculo del indicador del consumo de alcohol per cápita en Brasil: uso de datos nacionales

[RESUMO]. Objetivo. Calcular o indicador de consumo de álcool per capita (APC) para o Brasil utilizando dados nacio nais (APC Brasil), com vistas a estabelecê-lo como padrão ouro para o país em substituição ao indicador anteriormente calculado pela Organização Mundial da Saúde (OMS) com base em dados internacionais. Métodos. Foram selecionadas, no Brasil, as fontes públicas de dados necessárias para a composição do cálculo do APC registrado e definida a concentração alcoólica por categoria de bebida. Para as variáveis APC turista e APC não registrado, indisponíveis no Brasil, foram usadas as estimativas da Organização das Nações Unidas (ONU) e da OMS. O indicador APC Brasil foi calculado e comparado ao indicador produzido pela OMS por meio de análise das medianas para o período de 2005 a 2020. Resultados. O indicador de consumo de álcool nacional foi de 9,2 litros per capita em 2005, chegando a 9,8 em 2020. Já o indicador da OMS mostrou, para 2005, um consumo de 8,4 litros per capita, com queda até 2016 e leve aumento para 7,8 em 2020. Conclusão. O APC Brasil foi calculado com base em fontes nacionais e mostrou tendência distinta em relação ao indicador da OMS, que se mostrou em queda. A disponibilização transparente e regular desse indicador por canais governamentais permitirá o seu monitoramento, possibilitando a elaboração de políticas para o enfrentamento do consumo do álcool no país.

[ABSTRACT]. Objective. To calculate the alcohol per capita consumption (APC) in Brazil (Brazil APC) using national data and to establish the Brazil APC as gold standard for the country, replacing the indicator previously calculated by the World Health Organization (WHO) based on international data. Method. The Brazilian public data sources necessary for calculating the recorded APC were selected, and the alcohol concentration was defined by beverage category. For the variables of tourist APC and unrecorded APC, which are unavailable in Brazil, estimates from the United Nations (UN) and the WHO were used. The Brazil APC indicator was calculated and compared to the indicator produced by the WHO through analysis of the medians obtained for the period from 2005 to 2020. Results. The national alcohol consumption indicator was 9.2 liters per capita in 2005, reaching 9.8 in 2020. The WHO indicator showed a consumption of 8.4 liters per capita in 2005, decreasing until 2016 and slightly increasing to 7.8 in 2020. Conclusion. The Brazil APC was calculated based on national sources and showed a distinct trend compared to the WHO indicator, which showed a decrease. The regular and transparent provision of this indicator through government channels will support the development of policies to address alcohol consumption in the country.

[RESUMEN]. Objetivo. Calcular el indicador del consumo de alcohol per cápita en Brasil a partir de datos nacionales, con miras a establecerlo como patrón de referencia para el país en sustitución del indicador calculado anteriormente por la Organización Mundial de la Salud a partir de datos internacionales. Métodos. Se seleccionaron las fuentes públicas de datos de Brasil necesarias para estructurar el cálculo del consumo de alcohol per cápita registrado y se definió la concentración de alcohol por clase de bebida. Para las variables de consumo de alcohol per cápita por parte de turistas y consumo per cápita no registrado, que no están disponibles en Brasil, se utilizaron estimaciones de las Naciones Unidas y de la Organización Mundial de la Salud. Se calculó el indicador del consumo de alcohol per cápita en Brasil y se comparó con el indicador elaborado por la OMS mediante un análisis de las medianas correspondientes al período 2005-2020. Resultados. El indicador nacional del consumo de alcohol fue de 9,2 litros per cápita en el 2005, con un aumento a 9,8 en el 2020. El indicador de la Organización Mundial de la Salud mostró un consumo de 8,4 litros per cápita en el 2005, con una reducción hasta el 2016 y un leve aumento a 7,8 en el 2020. Conclusión. Se calculó el consumo de alcohol per cápita en Brasil a partir de fuentes nacionales, lo que mostró una tendencia distinta de la tendencia descendente del indicador de la Organización Mundial de la Salud. La disponibilidad transparente y regular de este indicador por medio de los canales gubernamentales permitirá su seguimiento, con lo cual se podrán formular políticas para enfrentar el consumo de alcohol en el país.

Identification of methodological issues regarding direct impact indicators of COVID-19: a rapid scoping review on morbidity, severity and mortality.

BACKGROUND: During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers. METHODS: We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe. RESULTS: After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%). CONCLUSIONS: The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations.

Association of Life's essential 8 score with the risk of all-cause mortality and cardio-cerebrovascular mortality in patients with stroke.

BACKGROUND: A higher Life's Essential 8 (LE8)-based cardiovascular health (CVH) has been reported to be associated with a lower risk of both all-cause mortality and cardio-cerebrovascular diseases (CCVDs) related mortality in adults in the United States. At the same time, multiple studies have shown a significant negative association of CVH with the risk of stroke and CCVDs. Since no research has investigated the applicability of the LE8 in stroke patients, this study aimed to explore the association of LE8 with all-cause mortality and cardio-cerebrovascular mortality in stroke patients. METHODS: Data of patients were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2007-2018 in this retrospective cohort study. Weighted univariate and multivariate COX regression analyses were utilized to investigate the associations of LE8 with all-cause mortality and cardio-cerebrovascular mortality. We further explored these relationships in subgroups of age, gender, body mass index (BMI), cancer, congestive heart failure (CHF), and coronary heart disease (CHD). The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Among the eligible patients, 278 died from all-cause and 89 (8.38%) of them died due to CCVDs. After adjusting for covariates, patients with LE8 score ≥ 58.75 seemed to have both lower risk of all-cause mortality (HR = 0.46, 95%CI: 0.31-0.69) and cardio-cerebrovascular mortality (HR = 0.51, 95%CI: 0.26-0.98), comparing to those with LE8 score < 48.123. Higher LE8 scores were associated with lower risk of all-cause mortality in patients aged < 65 years old, without cancer, and whatever the gender, BMI, CHF or CHD conditions (all P < 0.05). The relationships between high LE8 scores and low cardio-cerebrovascular mortality risk were only found in age < 65 years old and non-cancer subgroups (all P < 0.05). CONCLUSION: A higher LE8 score was associated with lower risk of both all-cause mortality and cardio-cerebrovascular mortality in patients with stroke, which may provide some reference for risk management and prognosis improvement in stoke. However, more evidences are needed to verify this beneficial role of high LE8 score in stroke prognosis.

Objective assessment of the association between telomere length, a biomarker of aging, and health screening indicators: A cross-sectional study.

Physical examination data are used to indicate individual health status and organ health, and understanding which physical examination data are indicative of physiological aging is critical for health management and early intervention. There is a lack of research on physical examination data and telomere length. Therefore, the present study analyzed the association between blood telomere length and physical examination indices in healthy people of different ages to investigate the role and association of various organs/systems with physiological aging in the human body. The present study was a cross-sectional study. Sixteen physical examination indicators of different tissue and organ health status were selected and analyzed for trends in relation to actual age and telomere length (TL). The study included 632 individuals with a total of 11,766 data for 16 physical examination indicators. Age was linearly correlated with 11 indicators. Interestingly, telomere length was strongly correlated only with the renal indicators eGFR (P < .001), CYS-C (P < .001), and SCR (P < .001). The study established that renal aging or injury is a risk factor for Physical aging of the human body. Early identification and management are essential to healthcare.

The paradox of growing technical capacities with low global governance: a review of Voluntary National Reviews' SDG health-related indicators.

BACKGROUND: This study delves into the States' accountability for health-related Sustainable Development Goal (SDG) indicators from 2016 to 2020. An analysis of Voluntary National Reviews (VNR) is employed as an instrument to scrutinize the alignment of States' indicators with the global indicator framework, shedding light on global health governance within the context of the 2030 Agenda and States' strategic prioritization. A curation of 60 health-related indicators from 195 VNRs, produced during the aforementioned period, is organized into thematic groups. RESULTS: Our results highlight a concerning discrepancy in the reporting frequency of various health-related themes. The findings reveal a paradoxical coexistence characterized by the concurrent strengthening and diminution of the global health governance articulated in the Agenda's global health governance. This manifests in the increased utilization and consistency of health-related indicators over the study years, coupled with an emphasis on infectious diseases and child and maternal health indicators. Conversely, a discernible governance decline is evidenced by the inadequate representation of health-related indicators in VNRs, notably within the domains of universal health coverage and health system indicators. Furthermore, High-Income States exhibit diminished accountability. CONCLUSIONS: The VNRs unveil a paradox wherein burgeoning technical capacity coexists with governance deficits, a phenomenon attributable to both statistical capabilities and political preferences. The prevalent use of proxy indicators in VNRs oversimplifies the presentation of official indicators, thereby compromising the aspirational goal of pioneering statistical innovations for measuring intricate issues in the SDGs. In light of our conceptualization of the 2030 Agenda's global health as a regime complex governance, we advocate for comprehensive investigations into each health regime cluster. This approach aims to unravel disputes, discern patterns, and elucidate States' preferences concerning specific thematic areas. Functioning as an accountability mechanism for the Agenda's governance, VNRs underscore States' adaptability and short-term learning capabilities, offering valuable insights for identifying harmful goal prioritization. The discretionary nature of indicator selection by States in the VNRs, enabled by the Agenda's proposition of a contextual adaptation of the SDGs and a blind eye to the guideline's request to review all SDG indicators, highlights a critical flaw in the VNR as an accountability mechanism.

Chronic Disease Indicators: 2022-2024 Refresh and Modernization of the Web Tool.

Easy access and display of state-level estimates of the prevalence of chronic diseases and their risk factors can guide evidence-based decision-making, policy development, and tailored efforts to improve population health outcomes; however, these estimates are often presented across multiple websites and reports. The Chronic Disease Indicators (CDI) web tool (www.cdc.gov/cdi) disseminates state-level data compiled from various data sources, including surveys, vital records, and administrative data, and applies standardized definitions to estimate and track a wide range of key indicators of chronic diseases and their risk factors. In 2022-2024, the indicators were refreshed to include 113 measures across 21 topic areas, and the web tool was modernized to enhance its key features and functionalities, including standardized indicator definitions; interactive charts, graphs, and maps that present data in a visually appealing format; an easy-to-use web-based interface for users to query and extract the data they need; and state comparison reports to identify geographic variations in disease and risk factor prevalence. National and state-level estimates are provided for the overall population and, where applicable, by sex, race and ethnicity, and age. We review the history of CDIs, describe the 2022-2024 refresh process, and explore the interactive features of the CDI web tool with the goal of demonstrating how practitioners, policymakers, and other users can easily examine and track a wide range of key indicators of chronic diseases and their risk factors to support state-level public health action.

Lifestyle trajectories in middle-aged adults and their relationship with health indicators.

Introduction: Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions. Methods: This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes. Results: The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases (p < 0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's lifestyle trajectories remained relatively stable over time. Discussion: Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.

Indicators to Measure Adolescent Health at the Country, Regional, and Global Levels: Results of a Five-Year Selection Process by the Global Action for the Measurement of Adolescent Health.

PURPOSE: To improve adolescent health measurement, the Global Action for the Measurement of Adolescent health (GAMA) Advisory Group was formed in 2018 and published a draft list of 52 indicators across six adolescent health domains in 2022. We describe the process and results of selecting the adolescent health indicators recommended by GAMA (hereafter, "GAMA-recommended indicators"). METHODS: Each indicator in the draft list was assessed using the following inputs: (1) availability of data and stakeholders' perceptions on their relevance, acceptability, and feasibility across selected countries; (2) alignment with current measurement recommendations and practices; and (3) data in global databases. Topic-specific working groups comprised of GAMA experts and representatives of United Nations partner agencies reviewed results and provided preliminary recommendations, which were appraised by all GAMA members and finalized. RESULTS: There are 47 GAMA-recommended indicators (36 core and 11 additional) for adolescent health measurement across six domains: policies, programs, and laws (4 indicators); systems performance and interventions (4); health determinants (7); health behaviors and risks (20); subjective well-being (2); and health outcomes and conditions (10). DISCUSSION: These indicators are the result of a robust and structured five-year process to identify a priority set of indicators with relevance to adolescent health globally. This inclusive and participatory approach incorporated inputs from a broad range of stakeholders, including adolescents and young people themselves. The GAMA-recommended indicators are now ready to be used to measure adolescent health at the country, regional, and global levels.

Relevance of the Sustainable Development Goals (SDGs) to Adolescent Health Measurement: A Systematic Mapping of the SDG Framework and Global Adolescent Health Indicators.

PURPOSE: To assess the relevance of the Sustainable Development Goals (SDGs) framework for adolescent health measurement, both in terms of age disaggregation and different health domains captured, and how the adolescent health indicators recommended by the Global Action for Measurement of Adolescent Health (GAMA) can complement the SDG framework. METHODS: We conducted a desk review to systematically map all 248 SDG indicators using the UN metadata repository in three steps: 1) age-related mandates for SDG reporting; 2) linkages between the SDG indicators and priority areas for adolescent health measurement; 3) comparison between the GAMA indicators and the SDG framework. RESULTS: Of the 248 SDG indicators, 35 (14%) targeted an age range overlapping with adolescence (10-19 years) and 33 (13%) called for age disaggregation. Only one indicator (3.7.2 "adolescent birth rate") covered the entire 10-19 age range. Almost half (41%) of the SDG indicators were directly related to adolescent health, but only 33 of those (13% of all SDG indicators) overlapped with the ages 10-19, and 15 (6% of all SDG indicators) explicitly mandated age disaggregation. Among the 47 GAMA indicators, five corresponded to existing SDG indicators, and eight were adolescent-specific age adaptations. Several GAMA indicators shed light on aspects not tracked in the SDG framework, such as obesity, mental health, physical activity, and bullying among 10-19-year-olds. DISCUSSION: Adolescent health cannot be monitored comprehensively with the SDG framework alone. The GAMA indicators complement this framework via age-disaggregated adaptations and by tracking aspects of adolescent health currently absent from the SDGs.

Exploring a Preliminary Set of Indicators to Measure Adolescent Health: Results From a 12-Country Feasibility Study.

PURPOSE: To explore data availability, perceived relevance, acceptability and feasibility of implementing 52 draft indicators for adolescent health measurement in different countries globally. METHODS: A mixed-methods, sequential explanatory study was conducted in 12 countries. An online spreadsheet was used to assess data availability and a stakeholder survey to assess perceived relevance, acceptability, and feasibility of implementing each draft indicator proposed by the Global Action for Measurement of Adolescent health (GAMA). The assessments were discussed in virtual meetings with all countries and in deep dives with three countries. Findings were synthesized using descriptive statistics and qualitative thematic analysis. RESULTS: Data availability varied across the 52 draft GAMA indicators and across countries. Nine countries reported measuring over half of the indicators. Most indicators were rated relevant by stakeholders, while some were considered less acceptable and feasible. The ten lowest-ranking indicators were related to mental health, sexual health and substance use; the highest-ranking indicators centered on broader adolescent health issues, like use of health services. Indicators with higher data availability and alignment with national priorities were generally considered most relevant, acceptable and feasible. Barriers to measurement included legal, ethical and sensitivity issues, challenges with multi-sectoral coordination and data systems flexibility. DISCUSSION: Most of the draft GAMA indicators were deemed relevant and feasible, but contextual priorities and perceived acceptability influenced their implementation in countries. To increase their use for a more comprehensive understanding of adolescent health, better multi-sectoral coordination and tailored capacity building to accommodate the diverse data systems in countries will be required.

Challenges and Opportunities to Advance Adolescent Health Measurement in Armenia: Alignment Between Global Priority Indicators and National Policies, and Feasibility of Collecting Sexual, Reproductive, and Mental Health Indicators.

PURPOSE: To assess alignment of the Global Action for Measurement of Adolescent health (GAMA) draft adolescent health indicators with national policies and explore challenges and opportunities for collecting data on adolescent sexual, reproductive, and mental health in Armenia. METHODS: We reviewed Armenia's national laws, decrees, policies, strategies, and programs for content related to the draft indicators. We conducted three focus group discussions with government and nongovernmental stakeholders and youth representatives on the feasibility of collecting the draft indicators, and analyzed the discussion segments related to sexual, reproductive, and mental health indicators. RESULTS: The policy review included 22 documents. Armenia's national laws, policies, strategies, orders, and decrees mention a range of tracking and monitoring activities in adolescent health, and many draft GAMA indicators are already incorporated into national statistics and are collected in ongoing surveys. However, policies and strategies often lack specificity around how to measure and report indicators. Sexual, reproductive, and mental health indicators were particularly sensitive to collect due to Armenian cultural norms and expectations, especially for younger adolescents under the age of 15 years. DISCUSSION: Guidance should be developed to facilitate the formulation of relevant policies with well-defined indicators and complete tracking and reporting information. Data collection should be further harmonized within the overall health information flow to avoid data overlap. While sensitization work and interviewer training can help address some issues around collecting data on sexual, reproductive, and mental health, it may be necessary to adapt certain indicators to be culturally acceptable in Armenia, such as by limiting the age range to above 15 years for highly sensitive indicators.

Towards Harmonized Adolescent Health Measurement: Assessing Alignment Between Current Recommendations and the Global Action for Measurement of Adolescent Health-Recommended Indicators.

PURPOSE: This study identified alignment of indicators across different initiatives and data collection instruments as a foundation for future harmonization of adolescent health measurement. METHODS: Using the Global Action for Measurement of Adolescent health (GAMA) recommended indicators as the basis for comparison, we conducted a desk review of 14 global-level initiatives, such as the Sustainable Development Goals and the Global Strategy for Women's, Children's and Adolescents' Health, and five multicountry survey programs, such as the Multiple Indicator Cluster Surveys and the Global school-based Student Health Survey. We identified initiative and survey indicators similar to a GAMA indicator, deconstructed indicators into standard elements to facilitate comparison, and assessed alignment to the corresponding GAMA indicator across each of the elements. RESULTS: A total of 144 initiative indicators and 90 survey indicators were identified. Twenty-four initiative indicators (17%) and 14 survey indicators (16%) matched the corresponding GAMA indicators across all elements. Population of interest was the most commonly discrepant element; whereas GAMA indicators mostly refer to ages 10-19, many survey and initiative indicators encompass only part of this age range, for example, 15-19-year-olds as a subset of adults ages 15-49 years. An additional 53 initiative indicators (39%) and 44 survey indicators (49%) matched on all elements except the population of interest. DISCUSSION: The current adolescent measurement landscape is inconsistent, with differing recommendations on what and how to measure. Findings from this study support efforts to promote indicator alignment and harmonization across adolescent health measurement stakeholders at the global, regional, and country levels.

Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis.

OBJECTIVES: Health development is a key element of national development. The goal of improving health development at the societal level will be readily achieved if it is directed from the smallest social unit, namely the family. This was the goal of the Healthy Indonesia Program with a Family Approach. The objective of the study was to analyze variables of family health indicators across all provinces in Indonesia to identify provincial disparities based on the status of healthy families. METHODS: This study examined secondary data for 2021 from the Indonesia Health Profile, provided by the Ministry of Health of the Republic of Indonesia, and from the 2021 welfare statistics by Statistics Indonesia (BPS). From these sources, we identified 10 variables for analysis using the k-means method, a non-hierarchical method of cluster analysis. RESULTS: The results of the cluster analysis of healthy family indicators yielded 5 clusters. In general, cluster 1 (Papua and West Papua Provinces) had the lowest average achievements for healthy family indicators, while cluster 5 (Jakarta Province) had the highest indicator scores. CONCLUSIONS: In Indonesia, disparities in healthy family indicators persist. Nutrition, maternal health, and child health are among the indicators that require government attention.

Trends in cardiovascular health metrics and associations with long-term mortality among US adults with coronary heart disease.

BACKGROUND AND AIMS: Our study examined the trends of cardiovascular health metrics in individuals with coronary heart disease (CHD) and their associations with all-cause and cardiovascular disease mortality in the US. METHODS AND RESULTS: The cohort study was conducted based on the National Health and Nutrition Examination Survey 1999-2018 and their linked mortality files (through 2019). Baseline CHD was defined as a composite of self-reported doctor-diagnosed coronary heart disease, myocardial infarction, and angina pectoris. Cardiovascular health metrics were assessed according to the American Heart Association recommendations. Long-term all-cause and cardiovascular disease mortality were the primary outcomes. Survey-adjusted Cox regression models were used to estimate hazard ratios and corresponding 95% confidence intervals for the associations between cardiovascular health metrics and all-cause and cardiovascular disease mortality. The prevalence of one or fewer ideal cardiovascular health metrics increased from 14.15% to 22.79% (P < 0.001) in CHD, while the prevalence of more than four ideal cardiovascular health metrics decreased from 21.65% to 15.70 % (P < 0.001) from 1999 to 2018, respectively. Compared with CHD participants with one or fewer ideal cardiovascular health metrics, those with four or more ideal cardiovascular health metrics had a 35% lower risk (hazard ratio, 0.65; 95% confidence interval: 0.51, 0.82) and a 44% lower risk (0.56; 0.38, 0.84) in all-cause and cardiovascular disease mortality, respectively. CONCLUSION: Substantial declines were noted in ideal cardiovascular health metrics in US adults with CHD. A higher number of cardiovascular health metrics was associated with lower all-cause and cardiovascular disease mortality in them.