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Despite the potential role of health being recognised for more than a decade in fragile contexts, there are still gaps in understanding the possible paths towards peace. Particularly, current literature on health and development presents limitations, including insufficient evidence, a lack of thorough consideration for fragility and tensions between humanitarian and developmental approaches. Building upon prior discussions and limitations, this study aims to investigate the association between health indicators and the levels of economic and human development, employing panel data of 60 fragile states covering the years 1995-2021. Seven health outcome measures and three proxy measures for economic and human developments, including GDP per capita and Human Development Index with and without inequality adjustment, are employed in instrumental variable estimation. The analysis shows a positive association between the development measures and corresponding health indicators. These results suggest that promoting the health of the people, particularly among marginalised groups such as pregnant women and children, not only has the potential to protect them but also to facilitate economic and human developments of the fragile states. There is a need for approaching with people-centred and human capability perspectives to achieve the goal of 'Health and Peace for All'.

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The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related organizational structure, has made it difficult to provide health care services that can improve their health status. To achieve the concept of justice in health and sustainable development, it is imperative to improve the health status of all citizens in Iran, which consists of the nomadic communities, and urban and rural populations. In this ecological study national health indexes in nomadic tribespeople was Identified and prioritized by expert panel and fuzzy Delphi method. In the first step, the national health indexes were extracted from the literature, and then indexes that can be measured, evaluated and representative of the nomadic communities were extracted and prioritized by using fuzzy Delphi and TOPSIS methods, Questionnaire options were analyzed according to 3 criteria of economic efficiency, measurability, and simplicity in the form of 13 components and their indicators. The analysis of the results of the fuzzy Delphi method shows that the mental health component has the lowest real score in the criteria of measurability, simplicity and economic efficiency. The child care component has the highest real score in terms of economic efficiency and the vaccination component has the highest real score based on the criteria of measurability and simplicity in nomadic communities. The results of the TOPSIS method show that the components of vaccination, maternal care and child care have the highest priority for attention and investigation of their indicators in this segment of the population. In general, by designing and implementing systems to record the information of priority indexes extracted from the present study, it is possible for responsible organizations to make effective decisions and plans for the improvement of the health status of nomadic communities.

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Nas últimas décadas houve uma melhora significativa nas condições gerais de saúde das pessoas, o que levou a um aumento da expectativa de vida ao nascer na maioria dos países da Região das Américas. Esse progresso foi o resultado de avanços tecnológicos na área da saúde — antibióticos, vacinas e outros tratamentos — e de melhorias nas condições de vida das pessoas, incluindo maior acesso a água potável e saneamento melhorados, além de serviços de saúde. No entanto, o progresso diminuiu nos últimos anos, e as conquistas variaram entre países e territórios e dentro eles. Na jornada rumo à saúde universal, é essencial ter a capacidade de monitorar e avaliar o progresso em termos do objetivo maior dos sistemas de saúde: melhorar a saúde e o bem-estar das populações. Para tanto, esta edição de Saúde nas Américas analisa a taxa padronizada de mortalidade prematura potencialmente evitável como um indicador do desempenho do sistema de saúde, considerando tanto o componente prevenível por meio de intervenções públicas e intersetoriais de saúde quanto o componente tratável, que está relacionado à efetividade dos serviços de saúde, ou seja, a qualidade da atenção à saúde. A análise da mortalidade prematura potencialmente evitável fornece uma métrica para comparar e monitorar o desempenho ao longo do tempo. Essa ferramenta analítica é crucial na prestação de contas dos sistemas de saúde na Região das Américas. Além disso, a análise da mortalidade prematura potencialmente evitável destaca a importância de investir não apenas em serviços de saúde, mas também na abordagem dos determinantes sociais e ambientais mais amplos da saúde. Esse enforque é fundamental para assegurar a equidade nos resultados de saúde entre os países. Ao reconhecerem a importância desses determinantes, os países podem desenvolver estratégias abrangentes que englobam não apenas saúde, mas também políticas sociais destinadas a reduzir as desigualdades e melhorar a saúde geral da população.

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Caregivers provide support to persons who might otherwise require placement in long-term care facilities. Approximately one in five U.S. adults provides care to family members or friends who have a chronic health condition or disability. Promoting the well-being of this large segment of the population is a public health priority as recognized by the 2022 National Strategy to Support Family Caregivers. Although negative associations between caregiving and caregiver health are known, changes in the health status of caregivers over time are not. Data from the 2015-2016 and 2021-2022 Behavioral Risk Factor Surveillance System were analyzed to compare changes in the prevalence of 19 health indicators among cross-sectional samples of caregivers and noncaregivers at different time points. Caregivers experienced improvements in prevalence of four health indicators, whereas six worsened. Some health indicators, such as cigarette smoking, improved for both caregivers and noncaregivers, although smoking prevalence remained higher for caregivers (16.6% versus 11.7%). Prevalence of lifetime depression increased for both groups and remained higher among caregivers (25.6%) than among noncaregivers (18.6%). During 2021-2022, age-adjusted estimates for caregivers were unfavorable for 13 of the 19 health indicators when compared with noncaregivers. Strategies for supporting caregivers are available, and integrating these with existing programs to address mental health and chronic diseases among this population might improve caregiver well-being. For example, many community organizations support caregivers by offering interventions designed to relieve caregiver strain, including skills training, support groups, and care coordination.

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Objectives: To identify official sources that routinely collect data on functioning in Switzerland, to provide an overview of the existing data and its comparability, and to assess the extent to which the data is suitable for developing a functioning metric and indicator. Methods: Data sources were identified through an iterative search. Standardized rules were applied to map the functioning information assessed by the sources using a current WHO functioning and disability survey as a reference framework for the content comparison. Results: Four sources were identified: the Swiss Survey of Health, Ageing and Retirement in Europe (SHARE), the Swiss Health Survey (SHS), the Lausanne cohort 65+ (Lc65+), and the Swiss Household Panel (SHP). All tools addressed sleep functions, energy level, emotional functions, and sensation of pain. Additionally, nine functioning categories were common across three sources. Conclusion: Population data sources in Switzerland routinely collect comparable functioning data, which can serve as the basis for creating a functioning indicator. Among others, this indicator is relevant to complement mortality and morbidity data and to support both the estimation of rehabilitation and long-term care needs.

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The Maternal and Infant Health Section of the Public Health Agency of Canada (PHAC) is pleased to announce an update to the Perinatal Health Indicators (PHI) Data Tool. The interactive Data Tool on the PHAC Infobase website presents statistics on maternal, fetal and infant health in Canada based on data from the Canadian Institute for Health Information's (CIHI) Discharge Abstract Database (DAD), the Canadian Community Health Survey (CCHS), and the Canadian Vital Statistics (birth, stillbirth and death databases). The data include 20 indicators grouped into four key health domains: health behaviours and practices, health services, maternal outcomes, and infant outcomes. For this update, five new indicators were added and three existing ones were modified. To access the latest Perinatal Health Indicators Data Tool, visit https://health-infobase.canada.ca/phi/.

RÉSUMÉ: Résumé : La Section de la santé maternelle et infantile de l'agence de la santé publique du Canada (ASPC) a le plaisir d'annoncer une mise à jour de données sur les indicateurs de la santé périnatale (ISP). L'outil de données interactif se trouve sur le site Web de l'Infobase de l'ASPC et présente les statistiques sur la santé maternelle, foetale et infantile au Canada fondées sur les données de la Base de données sur les congés des patients (BDCP) de l'Institut canadien d'information sur la santé (ICIS), de l'Enquête sur la santé dans les collectivités canadiennes (ESCC) et de la Base canadienne de données de l'état civil (bases de données sur les naissances, les mortinaissances et les décès). Les données comprennent 20 indicateurs regroupés en quatre principaux domaines de la santé: comportements et pratiques en santé, services de santé, santé maternelle et santé infantile. Dans le cadre de cette mise à jour, cinq nouveaux indicateurs ont été ajoutés et trois indicateurs existants ont été modifiés. Pour accéder au plus récent outil de données sur les indicateurs de la santé périnatale, consultez le : https://sante-infobase.canada.ca/isp/.

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Health surveys allow exploring health indicators that are of great value from a public health point of view and that cannot normally be studied from regular health registries. These indicators are usually coded as ordinal variables and may depend on covariates associated with individuals. In this article, we propose a Bayesian individual-level model for small-area estimation of survey-based health indicators. A categorical likelihood is used at the first level of the model hierarchy to describe the ordinal data, and spatial dependence among small areas is taken into account by using a conditional autoregressive distribution. Post-stratification of the results of the proposed individual-level model allows extrapolating the results to any administrative areal division, even for small areas. We apply this methodology to describe the geographical distribution of a self-perceived health indicator from the Health Survey of the Region of Valencia (Spain) for the year 2016.

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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.

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[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.

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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.

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The early detection of breast cancer enables more effective forms of treatment. However, widespread access to its main screening tool, mammography, remains a challenge for the Brazilian public health system. This study aimed to analyze the effect of allocating mammography equipment on women's health indicators. In 2013, of the 4,557 municipalities that lacked the equipment, 260 received it up to 2019. The main hypothesis of this study suggests that receiving the mammography device would show a heterogeneous effect between locations and that such receival would depend on observable (propensity score matching) and non-observable variables (fixed effects model). Results indicate that the Brazilian municipalities that had mammography equipment in use from 2014 onward increased their number of exams without short-term effects to diagnoses and deaths due to malignant breast neoplasia. In addition to equipment, a more complex structure involving other factors (such as access to consultations, qualified professionals, waiting time, etc.) is important to improve women's health indicators in the analyzed municipalities.

A detecção precoce de câncer de mama permite formas de tratamentos mais eficazes. Entretanto, o acesso generalizado à principal ferramenta de rastreamento, a mamografia, ainda é um desafio para o sistema público de saúde brasileiro. Este estudo tem o objetivo de analisar o efeito da alocação de mamógrafos sobre indicadores de saúde da mulher. Em 2013, dentre os 4.557 municípios que não tinham o equipamento, 260 receberam até 2019. A principal hipótese é que o efeito de receber o mamógrafo seja heterogêneo entre as localidades e que receber o equipamento dependa de variáveis observáveis (pareamento por escore de propensão) e não observáveis (modelo de efeitos fixos). Os resultados indicam que os municípios brasileiros que tiveram mamógrafo em uso a partir de 2014 obtiveram aumentos na realização de exames, porém sem efeitos de curto prazo para diagnósticos e óbitos por neoplasia maligna da mama. Além de equipamentos, uma estrutura mais complexa que envolve outros fatores como acesso a consultas, profissionais qualificados, tempo de espera etc. são importantes para melhorar os indicadores de saúde femininos no recorte de municípios analisados.

La detección temprana del cáncer de mama permite formas de tratamientos más eficaces. Sin embargo, el acceso generalizado a la principal herramienta de seguimiento, la mamografía, sigue siendo un desafío para el sistema público de salud brasileño. Este estudio tiene como objetivo analizar el efecto de la asignación de mamógrafos en los indicadores de salud de la mujer. En 2013, de los 4.557 municipios que no tenían el equipo, 260 lo recibieron hasta 2019. La hipótesis principal es que el efecto de recibir un mamógrafo es heterogéneo entre las localidades y que recibir el equipo depende de variables observables (emparejamiento por puntaje de propensión) y no observables (modelo de efectos fijos). Los resultados indican que en los municipios brasileños que han tenido mamógrafo en uso a partir de 2014 obtuvieron aumentos en la realización de exámenes, pero sin efectos a corto plazo sobre los diagnósticos y las muertes por neoplasia maligna de la mama. Además de los equipos, una estructura más compleja que involucra otros factores como el acceso a consultas, profesionales calificados, tiempo de espera, etc. son importantes para mejorar los indicadores de salud de las mujeres en el recorte de municipios analizados.

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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.

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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.

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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.

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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.

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AIM: To examine the associations between low cognitive performance (LCP) and diabetes-related health indicators (including body mass index [BMI], HbA1c, systolic blood pressure [SBP], low-density lipoprotein [LDL] and self-reported poor physical health) and whether these associations vary across racial/ethnic subgroups. METHODS: We identified adults aged 60 years or older with self-reported diabetes from the 2011-2014 National Health and Nutrition Examination Survey. Individuals with cognitive test scores in the lowest quartile were defined as having LCP. We used regression models to measure the associations of LCP with diabetes-related biometrics (BMI, HbA1c, SBP and LDL); and self-reported poor physical health. Moreover, we explored potential variations in these associations across racial/ethnic subgroups. RESULTS: Of 873 (261 with LCP) adults with diabetes, LCP was associated with higher HbA1c, SBP and LDL (adjusted difference: 0.41%, 5.01 mmHg and 5.08 mg/dL, respectively; P < .05), and greater odds of reporting poor physical health (adjusted odds ratio: 1.59, P < .05). The association between LCP and HbA1c was consistent across racial/ethnic groups, and notably pronounced in Hispanic and Other. BMI worsened with LCP, except for non-Hispanic Black. Excluding the Other group, elevated SBP was observed in people with LCP, with Hispanic showing the most significant association. LDL levels were elevated with LCP for Hispanic and Other. Physical health worsened with LCP for both non-Hispanic Black and Hispanic. CONCLUSIONS: We quantified the association between LCP and diabetes-related health indicators. These associations were more pronounced in Hispanic and Other racial/ethnic groups.

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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.

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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.

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