Determinants Of Healthy Ageing Research Articles

Who are the superheroes? A cross-sectional study on the determinants of healthy ageing

Abstract People who reach old age while enjoying good physical and mental health are, in a sense, ‘superheroes’ (of health): in fact, they not only have a relatively low impact on health care spending but are also advantaged in playing an active role in society and achieving their aspirations (and perhaps helping others to do so). The aim of this study was to assess the prevalence and determinants of being ‘physical superheroes’ (i.e., lacking the 10 major chronic conditions plus obesity), ‘mental superheroes’ (i.e., lacking major mental symptoms) and ‘superheroes’ (i.e., both mental and physical superheroes). We used data from a telephone-based cross-sectional study (LOST in Lombardia) conducted in November 2020 (i.e., during the COVID-19 pandemic) on a representative sample of 4,400 adults aged ≥65 years from the Lombardy region, Northern Italy. All the participants provided data both during and before the COVID-19 pandemic. Mental and physical superheroes were 59.0% and 17.6%, respectively. Superheroes were 12.8% overall, 15.1% among men and 11.1% among women; 20.2% among individuals aged 65-69 years, 11.3% among 70-74, 10.0% among 75-79, and 8.3% among ≥80 years. Multivariable analysis showed that, besides female sex, higher age, and disadvantaged socio-economic status, ever tobacco smoking (adjusted odds ratio, aOR=0.71), alcohol drinking (aOR=0.77), and physical inactivity (p for trend<0.001) were inversely related to being superheroes. Participants with feelings of hopelessness showed an extremely low presence of “superheroes” (OR = 0.17). The COVID-19 pandemic reduced by 16.3% the proportion of superheroes. Given a steadily ageing population, public health policies should aim to ensure that people reach old age in the best possible state of health by preventing risky behaviours and paying special attention to inequalities derived from economic and social factors.

Biomarker signatures associated with ageing free of major chronic diseases: results from a population-based sample of the EPIC-Potsdam cohort.

A number of biomarkers denoting various pathophysiological pathways have been implicated in the aetiology and risk of age-related diseases. Hence, the combined impact of multiple biomarkers in relation to ageing free of major chronic diseases, such as cancer, cardiovascular disease and type 2 diabetes, has not been sufficiently explored. We measured concentrations of 13 biomarkers in a random subcohort of 2,500 participants in the European Prospective Investigation into Cancer and Nutrition Potsdam study. Chronic disease-free ageing was defined as reaching the age of 70years within study follow-up without major chronic diseases, including cardiovascular disease, type 2 diabetes or cancer. Using a novel machine-learning technique, we aimed to identify biomarker clusters and explore their association with chronic disease-free ageing in multivariable-adjusted logistic regression analysis taking socio-demographic, lifestyle and anthropometric factors into account. Of the participants who reached the age of 70years, 321 met our criteria for chronic-disease free ageing. Machine learning analysis identified three distinct biomarker clusters, among which a signature characterised by high concentrations of high-density lipoprotein cholesterol, adiponectin and insulin-like growth factor-binding protein 2 and low concentrations of triglycerides was associated with highest odds for ageing free of major chronic diseases. After multivariable adjustment, the association was attenuated by socio-demographic, lifestyle and adiposity indicators, pointing to the relative importance of these factors as determinants of healthy ageing. These data underline the importance of exploring combinations of biomarkers rather than single molecules in understanding complex biological pathways underpinning healthy ageing.

A Scoping Review on Determinants of Active Ageing in Southeast Asian Region

Many developing countries face a rapidly ageing population requiring sufficient preparation to integrate various services for enhancing healthy active ageing. However, there is a lack of evidence on the comprehensive framework of active ageing and its overall determinants, especially in the Southeast Asia region. The current review sought to understand the main determinants of active ageing to predict the indicators of active ageing in the Southeast Asia region. A scoping review is conducted by reviewing English language literature published between 2002 and 2022 in three electronic databases, including Scopus, ScienceDirect, and PubMed, using MeSH terms, keywords, and inclusion and exclusion criteria. The review found a wide range of variables related to five determinants of healthy ageing in Southeast Asia. Participation in social, physical, learning, and labour activities is the most frequent and popular determinant of active ageing in Southeast Asia. Followed by health (health services and health status), perceived environment (neighbourhoods and housing), security (financial security, social status, and independency), behavioural (spirituality and lifestyle), and personal demographic characteristics, respectively. Overall, this scoping review contributed to the identification of comprehensive indicators ofactive ageing in Southeast Asia, including Malaysia.

Constructing the concept of healthy ageing and examining its association with loneliness in older adults

BackgroundWorld Health Organization (WHO) has defined healthy ageing by highlighting five functional ability domains to (meet basic needs, make decisions, be mobile, build and maintain relationships, and contribute to society), which also emphasized the importance of addressing loneliness as priorities within United Nations Decade of Healthy Ageing initiative. However, the level and determinants of healthy ageing and its association with loneliness are rarely examined. This study aimed to construct a healthy ageing index to verify the WHO healthy ageing framework, measure five domains of functional ability of older adults and examine the relationship between functional ability domains and loneliness.MethodsA total of 10,746 older adults from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were included. A healthy ageing index ranging from 0 to 17 was constructed using 17 components related to functional ability domains. Univariate and multivariate logistic regression analyses were utilized to determine the association between loneliness and healthy ageing. The STROBE guidelines with the RECORD statement for observational studies using routinely collected health data were observed.ResultsThe factor analysis verified the five functional ability domains for healthy ageing. After adjusting for confounders, being mobile, building and maintaining relationships, and learning, growing and making decisions were significantly associated with lesser loneliness among participants.ConclusionsThe healthy ageing index of this study can be utilized and further modified with respect to large-scale research with relevant healthy ageing topics. Our findings will support healthcare professionals to provide patient-centered care when identifying their comprehensive abilities and needs.

Perspectives of older women in the Netherlands: identifying motivators and barriers for healthy lifestyles and determinants of healthy aging

BackgroundWomen have a higher life expectancy than men but experience more years with physical disabilities in daily life at older ages, especially women with a migration background. This pinpoints older women as an important target group for strategies that stimulate healthy lifestyle, which benefits healthy aging. Our study investigates motivators and barriers for healthy lifestyles and perspectives on determinants of healthy aging of older women. This provides essential information for developing targeted strategies.MethodsData was collected by semi-structured digital interviews from February till June 2021. Women aged 55 years and older living in the Netherlands (n = 34) with a native Dutch (n = 24), Turkish (n = 6) or Moroccan (n = 4) migration background were included. Two main subjects were investigated: (1) motivators and barriers on their current lifestyles regarding smoking, alcohol consumption, physical activity, diet and sleep and (2) perspectives on determinants of healthy aging. Interviews were analyzed using Krueger’s framework.ResultsPersonal health was the most common motivator for a healthy lifestyle. In addition, peer pressure and being outdoors were specific motivators for physical activity. Bad weather conditions and personal dislike to be active were specific barriers. The social environment, personal preferences and personal belief to compensate with other healthy lifestyle behaviors were barriers for low alcohol consumption. Personal preferences (liking unhealthy food and not making time) were the main barriers for a healthy diet. Sleep was not perceived as a form of lifestyle behavior, but rather as a personal trait. Since there were no smokers, specific barriers were not mentioned. For Turkish-Dutch and Moroccan-Dutch women, additional barriers and motivators were culture and religion. These were strong motivators to abstain from alcohol consumption and smoking, but a barrier for a healthy diet. With regard to perspectives on determinants of healthy aging, positive views on aging and being physically active were perceived as most important. Women often wanted to increase their physical activity or healthy diet to stimulate healthy aging. Among Turkish-Dutch and Moroccan-Dutch women, healthy aging was also perceived as something in the hands of God.ConclusionsAlthough motivators and barriers for a healthy lifestyle and perspectives on healthy aging vary for distinct lifestyles, personal health is a common motivator across all lifestyles. Having a migration background added culture and religion as distinct barriers and motivations. Strategies to improve lifestyle among older women should therefore have a tailored, culture sensitive approach (if applicable) for distinct lifestyle factors.

Socioeconomic Inequalities in Healthy Ageing in Different Regions of India: Evidence from the Longitudinal Ageing Study in India, Wave 1

The present study investigates the socioeconomic inequality and determinants of healthy ageing in different regions of India using the Longitudinal Ageing Study in India (LASI), Wave 1 (2017–2018). This study developed an individual-level healthy ageing score (HAS) by incorporating 53 variables suggested by the expert committee of the WHO on healthy ageing. Income, wealth and education inequality are measured using the indirectly adjusted concentration index (CI). The multiple linear regression estimates the socioeconomic, demographic and behavioural determinants. It has been found that the mean HAS in India is 72.57; it is highest in the North-east and lowest in South India. The CI indicated socioeconomic inequality in healthy ageing in India, favouring high-income, wealthy and educated elders across the region. The regression shows that older adults who are relatively young, male, rich and living in urban areas are more likely to be healthy than their counterparts. It is also found that the habit of smoking, physical inactivity and prevalence of chronic diseases are significantly associated with a low HAS in India.

Occupational Health of Education Personnel—The Role of Job Crafting and Other Control Strategies on Healthy Ageing at Work

This article looks at the strategies that influence healthy ageing at work from the motivational theory of life span development (MTD). It aims to better understand the influence of job crafting as a selective primary control, help-seeking as a compensatory primary control, positive reappraisal as a selective secondary control, and downward social comparison and downgrading expectation as a compensatory secondary control on healthy ageing at work (work engagement, health, and motivation to continue working after retirement). A total of 386 educational personnel participated in the study. This study used hierarchical regression analysis to test incremental validity, supplemented with confirmatory factor analysis and structural equation modelling as a solution to solve the potential error problems caused. The results show that job crafting is positively correlated with healthy ageing at work. Positive reappraisal and downward social comparison showed incremental validity in predicting healthy ageing at work beyond job crafting among the middle-aged group (45-65-years-old); in particular, positive reappraisal was the determinant of healthy ageing at work among the middle-aged group. However, both help-seeking and downgrading expectation did not show incremental validity. This study can contribute to the evolution of career development interventions and human resource management focused on supporting older people at work.

Determinants of healthy ageing: a systematic review of contemporary literature.

BackgroundHealthy ageing frameworks have been highly explored. Our objective was to assess existing frameworks for healthy ageing and to identify commonly described factors that can potentially act as determinants of healthy ageing.MethodsWe carried out a systematic review by searching five electronic databases (EMBASE, MEDLINE, Cochrane, PsychINFO, and CINAHL) from January 2010 to November 2020 to capture contemporary evidence. Eligible studies needed to report a clear framework of healthy ageing in humans, within one or more of three domains (physical, mental/cognitive, social), in English. No restriction was placed on geographical location. Retrospective studies, studies that did not report a framework of healthy ageing, and studies with a focus on diagnostic measures were excluded.ResultsOf 3329 identified records, nine studies met our eligibility criteria and were included. Most of the studies were qualitative or cross sectional, and a majority were carried out in Asia, followed by North America, Australia, and Africa. The ten determinants identified for healthy ageing include physical activity, diet, self-awareness, outlook/attitude, life-long learning, faith, social support, financial security, community engagement, and independence.ConclusionsWe identified ten determinants of healthy ageing proposed by the contemporary evidence base. There appears to be increasing acknowledgement of the instrumental role of social and mental/cognitive well-being as determinants of healthy ageing. The extent to which each determinant contributes to healthy ageing requires further evaluation.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40520-021-02049-w.

Exploring Ethno-Cultural Variations in Self-Ratings and Determinants of Healthy Aging among Canadians: A Population-Based Study Using Canadian Longitudinal Study on Aging (CLSA) Data

Individuals from various ethno-cultural backgrounds have different health-related practices, beliefs, lifestyles, and levels of social engagement, which may promote or impede healthy aging. We examined ethno-cultural variations in self-ratings of healthy aging and its determinants among Canadians.

Blood Pressure Variability and Complexity in Nursing Home Residents Before Death

Blood pressure (BP) is a complex dynamic system in the human body and an important determinant of healthy aging. Exploring BP as a dynamic data system may provide important insights into how BP patterns can provide complementary information to the static, one-time BP measurements that are more commonly used for clinical decision making. Thus, we sought to describe BP as a dynamic data system in older adults nearing death. Using a prospective cohort study design, we assessed BP measures 6 months before death in Veterans Health Administrative nursing home residents between 10/1/2006 and 9/30/2017. Variability was characterized using standard deviation and mean square error after adjusting for diurnal variations. Complexity (i.e., amount of novel information vs. redundancy) was examined using Shannon’s entropy (bits). Generalized linear models were used to examine factors associated with overall BP variability. We identified 17,953 patients (98.0% male, 82.5% White, mean age 80.2 years, and mean BP 125.7/68.6 mmHg). In the last 6 months of life, systolic BP decreased slightly (□-7.2mmHg). Variability was stable until the last month of life, at which point variability increased by as much as 30%. In contrast, complexity did not change in the 6 months before death (□0.02 bits). Factors associated with BP variability before death include hospitalizations, hospice care, and medication changes. Systolic BP decreases in the last 6 months before death, and BP variability increases in the last month of life. Further, the increase in BP variability may be driven by increasingly complex care patterns as one approaches death.

The Living Standards Capabilities for Elders scale (LSCAPE): adaptation and validation in a sample of Spanish seniors

AbstractLiving standards capabilities are an important determinant of healthy ageing. The Living Standards Capabilities for Elders scale (LSCAPE) is the main instrument available to assess living standards capabilities among older adults based on Sen's Capability Approach. The objectives of this study were: (a) to adapt and validate LSCAPE for use in the Spanish population; (b) to examine the dimensionality, validity and reliability; and (c) to establish the convergent validity of LSCAPE using self-reported measures of quality of life and income. The LSCAPE was administered to 441 Spanish seniors aged 65 and over. Confirmatory Factor Analysis (CFA) was used to analyse the dimensionality, validity and reliability. Discriminant and convergent validity of the model were assessed using Average Variance Extracted (AVE). Reliability was shown by Composite Reliability (CR) and Cronbach's alpha. Convergent validity was tested by correlating the LSCAPE scales and sub-scales with the Short-form Health Survey (SF-12) sub-scales. CFA showed that the LSCAPE Six-factor Model fits well to the data, showing Standardised Root Mean Square Residual < 0.09 (0.084), Comparative Fit Index and Tucker–Lewis Index > 0.9 (0.925 and 0.917, respectively). LSCAPE showed also good reliability (CR indices > 0.7) and validity (AVE > 0.5) measures. Finally, LSCAPE had moderate to strong associations with SF-12 sub-scales (>0.6) and a moderate relationship with income (>0.3). Thus, LSCAPE has been demonstrated to be a reliable and valid instrument in measuring living standards capabilities among the Spanish older population.

Educational differences in trajectories and determinants of healthy ageing in midlife and older Americans

ObjectivesTo advance knowledge of the influence of educational level on trajectories and determinants of healthy ageing in midlife and older Americans. Study designData are from the Health and Retirement Study, a nationally representative, longitudinal survey of Americans age 51 and over. We used generalized estimating equations to examine trajectories and determinants of healthy ageing by level of education among 17,591 adults followed over a 14-year period. Educational level was categorized as less than a high school diploma, high school diploma, some college education, and a college or higher degree. Potential determinants included demographic factors, early-life characteristics (childhood health and childhood poverty), health-related factors (health behaviours, physical and mental health conditions), and psychosocial characteristics (perceived neighbourhood safety, volunteerism, and work status). Main outcome measuresInformed by earlier work, we defined healthy ageing as freedom from cognitive impairment, freedom from disability, and high physical functioning. ResultsThe log odds of healthy ageing declined over time in all educational groups. Importantly, the decline was smaller in adults with a college or higher degree than in those without a high school diploma. Age, gender, wealth, health behaviours, productive engagement, depressive symptoms, and the presence of chronic conditions predicted healthy ageing across the educational spectrum; however, the impact of several factors (age, gender, race/ethnicity, childhood poverty, and volunteerism) varied by educational level. ConclusionsEducation shapes trajectories of healthy ageing in the United States. Similarities and differences in determinants of healthy ageing are evident across levels of education. Findings highlight broad-based and education-specific targets for intervention.

Perceived benefits of social participation among older adults living with congenital disabilities or disabilities acquired prior to adulthood

Social participation is a determinant of healthy aging. Despite the fact that the lives of people with congenital disabilities or disabilities acquired prior to adulthood become more complex as they age, understanding social participation among this distinct population remains underdeveloped. This qualitative descriptive study addresses this gap in knowledge by focusing on perceptions of social participation among this group. Five focus groups were conducted with 31 participants 50 years of age or older. Thematic analysis of the qualitative data demonstrated that perceived benefits of social participation include personal fulfillment, life meaning, a sense of well-being, and belonging. It also demonstrated that social participation is expressed through the enactment of meaningful projects that help others and through interactions with people with and without disabilities. In sum, social participation helps to meet the basic psychological needs of this population and their perception of its tangible benefits justifies its promotion.

Determinants of Healthy Aging in Internally Displaced Communities in Nigeria

The main objective of this research article, is to assess the effect of socio-economic and environmental determinants on the healthy aging status amongst internally displaced migrants and non-migrants nestled within the environmentally stressed regions of Northeastern Nigeria. Methodologically the study utilized secondary data from the Nigerian IDP Survey 2018 (Location-Northeastern States; n-1293 adults aged 50; male n-63.1%, female n-36.9%) using a multi-stage stratified random sample. Varied statistical techniques such as cross-tabulation and binary logistic regression were used to analyze the dataset. The study results show a high mean prevalence of old-age disability within the study area, irrespective of migration status in Northeastern Nigeria. Secondly, socio-economic and environmental determinants were robust predictors of later-life health outcomes. In addition, the regression revealed that concomitant factors such as age, gender and sanitation have a negative effect on older adult wellness and well-being. Meanwhile, the migration status of internally displaced persons (IDPs), although in most cases forced, significantly improves the odds of aging healthily. Conclusively, the quality of life of the older adults, irrespective of migration status, is poorly impacted by diminishing familial supports, social exclusion, non-existent social security program and non-existence of healthcare infrastructure. Based on the study results, we recommend that the proposed Economic Community of West African States (ECOWAS) Sahelian Green belt afforestation project targeted, especially to areas around the Chad basin be fully implemented, as this project will help mediate the perennial conflicts between the herdsmen and farming communities.

Leading Determinants of Healthy Ageing in Community-Dwelling Middle-Aged Men and Women: A Cohort Study

Background: Identifying leading determinants of healthy ageing may provide evidence for action priorities, which is imperative for public health with an expanding aged population worldwide. Methods: We included 52,036 participants aged 45-64 years from the 45 and Up Study who were free of 13 predefined chronic conditions at baseline (2006-2009). Healthy ageing was defined as the absence of developing any of these chronic conditions during follow-up until 2016. We used machine learning methods to evaluate the importance of potential predictors and analyzed the association between the number of leading modifiable healthy factors and healthy ageing. Findings: Healthy ageing was found in about half of both men and women during a mean nine-year follow-up. The five most common leading predictors were body mass index (6·4-9·5% of total variance), self-rated health (5·2-8·2%), self-rated quality of life (4·1-6·8%), red meat intake (4·5-6·5%), and chicken intake (4·5-5·9%) in both genders. Modifiable behavioral factors including body mass index, diets, smoking, alcohol consumption and physical activity, contributed to 37·2-40·3% of total variance. Participants having six or more modifiable healthy factors were 1·63-8·76 times more likely to remain healthy ageing and had 0·60-2·49 more healthy ageing years (out of nine-year follow-up) than those having two or fewer. Non-behavioral factors including low levels of education, income and relative socioeconomic disadvantage, were leading risk factors for healthy ageing. Interpretation: Body mass index, diets, smoking, alcohol consumption and physical activity are key factors for healthy ageing promotion. Individuals with low socioeconomic status are more in need of care. Funding: Professor Mingguang He receives support from the University of Melbourne at Research Accelerator Program and the Centre for Eye Research Australia Foundation. The Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian State Government. The specific project is funded by Australia China Research Accelerator Program at Centre for Eye Research Australia. Professor Mingguang He is also supported by the Fundamental Research Funds of the State Key Laboratory in Ophthalmology, National Natural Science Foundation of China (81420108008). The sponsor or funding organization had no role in the design or conduct of this research. Declaration of Interest: We declare no competing interests. Ethical Approval: The 45 and Up study has ethical approval from the UNSW Human Research Ethics Committee. The study protocol was approved by the Royal Victorian Eye and Ear Hospital Human Research Ethics Committee. Participants provided consent to follow-up and link their data to routine health datasets.

Tai Chi with music improves quality of life among community-dwelling older persons with mild to moderate depressive symptoms: A cluster randomized controlled trial

Depression leads to a poorer quality of life (QOL) which is a determinant of healthy ageing. Cost-effective solutions for enhancing QOL in the older population are much needed in China, with its rapidly ageing population. We conducted a randomized controlled trial involving 112 community-dwelling older participants with mild to moderate depression, to evaluate the effect of Tai Chi with music on QOL (57 in intervention group, 55 in control group). WHO Quality of Life-BREF was used to measure QOL at baseline and at every month for three months. Following the adjustments for sociodemographic data, the effect of intervention on QOL was assured (F = 25.145, P < 0.001, ηp2= 0.435, F = 18.696, P < 0.001, ηp2= 0.364, F = 17.473, P< 0.001, ηp2= 0.348, and F = 29.576, P < 0.001, ηp2= 0.475 for physical, psychological, social, and environment domains respectively). This intervention represents an economically viable solution to better QOL and healthy ageing in a highly populous developing nation.

P4445Cardiometabolic and lifestyle determinants of healthy ageing in Mediterranean populations: the multinational MEDIS Study

P4445Cardiometabolic and lifestyle determinants of healthy ageing in Mediterranean populations: the multinational MEDIS Study

Physical Resilience as a Determinant of Healthy Aging

Physical resilience, defined as the ability to resist and respond to challenges and return to homeostasis, has been postulated to be a determinant of healthspan and lifespan. To test this premise, we have begun to optimize a standardized, clinically relevant battery of resilience challenges, including anesthesia and cisplatin chemotherapy, and recovery outcome measures in younger (2–3 month) and older (26–29 month) mice. We have also started to test whether interventions shown to increase murine lifespan‐acarbose, rapamycin, and 17a‐estradiol‐impact the resilience of older mice.Our preliminary data demonstrate that younger mice (n = 10) have faster dorsal to sternal recumbence recovery time compared to older mice (n = 8) (39 ± 1 sec vs. 67 ± 6 sec, p &lt; 0.001) following a 5‐minute 4% isoflurane anesthesia challenge. In response to a 5‐day cisplatin (2 mg/kg/day) challenge, both younger (n=5) and older (n=4) mice lost a significant percent of their baseline body weight (younger mice −10.6 ± 0.8% and older mice −13.2 ± 2.1%, p = 0.26), however, older mice failed to regain body weight 11 days after the challenge (younger mice −0.9 ± 0.8% and older mice −9.8 ± 0.8%, p &lt; 0.01). Changes in body weight in younger and older mice were largely attributable to the loss/regain of fat mass. Interestingly, 8 weeks of either acarbose (1,000 ppm) or 17α‐estradiol (14.4 ppm) administration to older female mice improved body weight recovery after the cisplatin challenge, while rapamycin (14 ppm) had no appreciable effect.Our preliminary results demonstrate that younger mice, as expected, have greater resilience than older mice to clinically relevant physical challenges. The age at which physical resilience starts to decline requires further investigation. Our early observations suggest interventions that extend health‐ and lifespan may impact resilience in older mice. Ultimately, a standardized battery of resilience challenges may provide a new framework for testing and translating interventions that target the fundamental biology of aging.Support or Funding InformationThis work was supported by grant AG52958 from the National Institutes of Health.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

Abstract P021: Association of AHA Cardiovascular Health Metrics With Cognitive Function, Depression, and Anxiety: The Emory Healthy Aging Study

Background: The American Heart Association (AHA) has developed the Life’s Simple 7 metric (no smoking, high levels of physical activity, normal body mass index, no hypertension, no diabetes, no hyperlipidemia, healthy diet) to track behaviors and risk factors associated with cardiovascular health (CVH). Given the potential role that CVH has in cognition and psychological well-being, we aimed to study the association of the Life’s Simple 7 with cognitive function, anxiety, and depressive symptoms in the Emory Health Aging Study (EHAS). Methods: EHAS is an ongoing cohort study with the overall goal of understanding determinants of healthy aging in the general population. Participants 18 years of age or older are recruited at primary care clinics, community events, and through social media, primarily from the Atlanta (GA) area. Information on sociodemographic variables (age, sex, race, education, income), anthropometrics (weight, height), lifestyles (smoking, physical activity), and clinical variables (history of hypertension, diabetes, hypercholesterolemia, cardiovascular disease [CVD]) was collected through online questionnaires. Life’s Simple 7 score (excluding diet; information not available) was defined based on self-reported data, giving 1 point per achieved metric [range 0 (lowest)-6(highest CVH)]. Neurobehavioral variables were measured using validated scales (Cognitive Function Instrument (CFI), range 0-14, for cognition; Patient Health Questionnaire (PHQ)-8, range 0-24, for depressive symptoms; Generalized Anxiety Disorder (GAD) questionnaire, range 0-21, for anxiety; higher scores represent worse function/symptoms). Cross-sectional associations between Life’s Simple 7 score and these scales were assessed using multivariable linear regression adjusting for sociodemographic variables. Results: We included 3,774 participants [mean age (standard deviation, SD) 58 (13), 79% women, 84% white, 9% African American, 7% other) free of self-reported CVD, recruited between October 2015 and October 2016. Levels of CVH in the cohort were relatively high, with 62% participants meeting at least 4 health criteria [mean (SD) score 3.9 (1.3)]. The mean (SD) of CFI, PHQ-8, and GAD were 1.9 (2.1), 3.2 (3.8), 2.4 (3.4), respectively. In analyses adjusted for age, sex, race, education, and income, higher values of Life’s Simple 7 score were related to better cognitive function and lower levels of depressive symptoms and anxiety: estimates (95% confidence interval) per 1-point in Life’s Simple 7 score were -0.16 (-0.22, -0.11) for CFI, -0.5 (-0.6, -0.4) for PHQ-8, and -0.3 (-0.4, -0.2) for GAD. Conclusion: Higher levels of CVH, as assessed with the AHA Life’s Simple 7, were cross-sectionally associated with a beneficial neurobehavioral profile. Prospective studies should evaluate the impact of improving CVH on cognitive and emotional health.

The control of translational accuracy is a determinant of healthy ageing in yeast.

Life requires the maintenance of molecular function in the face of stochastic processes that tend to adversely affect macromolecular integrity. This is particularly relevant during ageing, as many cellular functions decline with age, including growth, mitochondrial function and energy metabolism. Protein synthesis must deliver functional proteins at all times, implying that the effects of protein synthesis errors like amino acid misincorporation and stop-codon read-through must be minimized during ageing. Here we show that loss of translational accuracy accelerates the loss of viability in stationary phase yeast. Since reduced translational accuracy also reduces the folding competence of at least some proteins, we hypothesize that negative interactions between translational errors and age-related protein damage together overwhelm the cellular chaperone network. We further show that multiple cellular signalling networks control basal error rates in yeast cells, including a ROS signal controlled by mitochondrial activity, and the Ras pathway. Together, our findings indicate that signalling pathways regulating growth, protein homeostasis and energy metabolism may jointly safeguard accurate protein synthesis during healthy ageing.