Defining Roles and Responsibilities of the Health Workforce to Respond to the Climate Crisis.

Importance: The adverse effects of climate change are now apparent, disproportionately affecting marginalized and vulnerable populations and resulting in urgent worldwide calls to action. Health professionals occupy a critical position in the response to climate change, including in climate mitigation and adaptation, and their professional expertise and roles as health messengers are currently underused in the society-wide response to this crisis. Observations: Clinical and public health professionals have important roles and responsibilities, some of which are shared, that they must fill for society to successfully mitigate the root causes of climate change and build a health system that can reduce morbidity and mortality impacts from climate-related hazards. When viewed through a preventive framework, the unique and synergizing roles and responsibilities provide a blueprint for investment in climate change-related prevention (primary, secondary, and tertiary), capacity building, education, and training of the health workforce. Substantial investment in increasing the competence and collaboration of health professionals is required, which must be undertaken in an urgent, coordinated, and deliberate manner. Conclusions and Relevance: Exceptional collaboration, knowledge sharing, and workforce capacity building are essential to tackle the complex ways in which climate change threatens health. This framework serves as a guide for health system leaders, education institutions, policy planners, and others seeking to create a more resilient and just health system.

FORWARD: Building a Model to Hold Schools of Public Health Accountable for Antiracism Work.

Schools of public health have increasingly adopted programs, praxis, and competencies for antiracist work. Fighting Oppression, Racism and White Supremacy through Action, Research and Discourse (FORWARD) was founded to accelerate antiracist work at the Columbia University Mailman School of Public Health in New York City. Seven action corps reporting to an accountability cabinet were established with 183 participants. FORWARD achieved progress across five core pillars. We describe how an iterative, dynamic structure and explicit framework for accountability can guide future antiracism work. (Am J Public Health. 2023;113(10):1086-1088. https://doi.org/10.2105/AJPH.2023.307356).

Identifying pathways to increased volunteering in older US adults.

While growing evidence documents strong associations between volunteering and improved health and well-being outcomes, less is known about the health and well-being factors that lead to increased volunteering. Using data from 13,771 participants in the Health and Retirement Study (HRS)-a diverse, longitudinal, and national sample of older adults in the United States-we evaluated a large range of candidate predictors of volunteering. Specifically, using generalized linear regression models with a lagged exposure-wide approach, we evaluated if changes in 61 predictors spanning physical health, health behaviors, and psychosocial well-being (over a 4-year follow-up between t0; 2006/2008 and t1; 2010/2012) were associated with volunteer activity four years later (t2; 2014/2016). After adjusting for a rich set of covariates, certain changes in some health behaviors (e.g., physical activity ≥ 1x/week), physical health conditions (e.g., physical functioning limitations, cognitive impairment), and psychosocial factors (e.g., purpose in life, constraints, contact with friends, etc.) were associated with increased volunteering four years later. However, there was little evidence that other factors were associated with subsequent volunteering. Changes in several indicators of physical health, health behaviors, and psychosocial well-being may predict increased volunteering, and these factors may be novel targets for interventions and policies aiming to increase volunteering in older adults.

An objective metric of individual health and aging for population surveys.

BACKGROUND: We have previously developed and validated a biomarker-based metric of overall health status using Mahalanobis distance (DM) to measure how far from the norm of a reference population (RP) an individual's biomarker profile is. DM is not particularly sensitive to the choice of biomarkers; however, this makes comparison across studies difficult. Here we aimed to identify and validate a standard, optimized version of DM that would be highly stable across populations, while using fewer and more commonly measured biomarkers. METHODS: Using three datasets (the Baltimore Longitudinal Study of Aging, Invecchiare in Chianti and the National Health and Nutrition Examination Survey), we selected the most stable sets of biomarkers in all three populations, notably when interchanging RPs across populations. We performed regression models, using a fourth dataset (the Women's Health and Aging Study), to compare the new DM sets to other well-known metrics [allostatic load (AL) and self-assessed health (SAH)] in their association with diverse health outcomes: mortality, frailty, cardiovascular disease (CVD), diabetes, and comorbidity number. RESULTS: A nine- (DM9) and a seventeen-biomarker set (DM17) were identified as highly stable regardless of the chosen RP (e.g.: mean correlation among versions generated by interchanging RPs across dataset of r = 0.94 for both DM9 and DM17). In general, DM17 and DM9 were both competitive compared with AL and SAH in predicting aging correlates, with some exceptions for DM9. For example, DM9, DM17, AL, and SAH all predicted mortality to a similar extent (ranges of hazard ratios of 1.15-1.30, 1.21-1.36, 1.17-1.38, and 1.17-1.49, respectively). On the other hand, DM9 predicted CVD less well than DM17 (ranges of odds ratios of 0.97-1.08, 1.07-1.85, respectively). CONCLUSIONS: The metrics we propose here are easy to measure with data that are already available in a wide array of panel, cohort, and clinical studies. The standardized versions here lose a small amount of predictive power compared to more complete versions, but are nonetheless competitive with existing metrics of overall health. DM17 performs slightly better than DM9 and should be preferred in most cases, but DM9 may still be used when a more limited number of biomarkers is available.

Columbia University Master of Public Health Core Curriculum: Implementation, Student Experience, and Learning Outcomes, 2013-2018.

OBJECTIVES: Public health education must respond to 21st-century public health challenges in an ever-evolving landscape. We describe implementation and educational outcomes of the Columbia University Master of Public Health (MPH) Core (hereinafter, Core) curriculum since its inception. METHODS: This retrospective evaluation combined 6 years (2013-2018) of student survey data collected from students (N = 1902) on the structure and delivery of the Core curriculum to quantify implementation, student experience, and learning outcomes, both during study (Core Evaluation Survey [CES]) and after graduation (Graduate Exit Survey [GES]). We used χ2 tests and analysis of variance to compare outcomes across years, and we used McNemar tests to compare differences in outcomes from the same students at different time points. RESULTS: Of 1902 respondents to the CES, 1795 (94.4%) completed the Core curriculum. During the study period, 81.7% of students were able to integrate concepts across Core curriculum modules with ease; postgraduation, a similar proportion of respondents were able to apply Core curriculum content to departmental and certificate coursework and applied field experiences. On-time graduation rates were high (range, 85%-93%). CONCLUSIONS: The high percentage of students who reported their ability to integrate concepts and who completed the Core during the study period likely reflected changes to teaching team structures, training, attention to inclusion and equity, and collaboration to implement active learning strategies. The Core curriculum meets its intended goals by providing critical learning abilities to support ongoing interdisciplinary work.

The Emergence and Future of Public Health Data Science.

Data science is a newly-formed and, as yet, loosely-defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term "data science," particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.

The physical frailty syndrome as a transition from homeostatic symphony to cacophony.

Frailty in aging marks a state of decreased reserves resulting in increased vulnerability to adverse outcomes when exposed to stressors. This Perspective synthesizes the evidence on the aging-related pathophysiology underpinning the clinical presentation of physical frailty as a phenotype of a clinical syndrome that is distinct from the cumulative-deficit-based frailty index. We focus on integrating the converging evidence on the conceptualization of physical frailty as a state, largely independent of chronic diseases, that emerges when the dysregulation of multiple interconnected physiological and biological systems crosses a threshold to critical dysfunction, severely compromising homeostasis. Our exegesis posits that the physiology underlying frailty is a critically dysregulated complex dynamical system. This conceptual framework implies that interventions such as physical activity that have multisystem effects are more promising to remedy frailty than interventions targeted at replenishing single systems. We then consider how this framework can drive future research to further understanding, prevention and treatment of frailty, which will likely preserve health and resilience in aging populations.

Evidence from two cohorts for the frailty syndrome as an emergent state of parallel dysregulation in multiple physiological systems.

Frailty is a clinical syndrome often present in older adults and characterized by a heightened vulnerability to stressors. The biological antecedents and etiology of frailty are unclear despite decades of research: frailty is associated with dysregulation in a wide range of physiological systems, but no specific cause has been identified. Here, we test predictions stemming from the hypothesis that there is no specific cause: that frailty is an emergent property arising from the complex systems dynamics of the broad loss of organismal homeostasis. Specifically, we use dysregulation of six physiological systems using the Mahalanobis distance approach in two cohorts of older adults to test the breadth, diffuseness, and nonlinearity of associations between frailty and system-specific dysregulation. We find clear support for the breadth of associations between frailty and physiological dysregulation: positive associations of all systems with frailty in at least some analyses. We find partial support for diffuseness: the number of systems or total amount of dysregulation is more important than the identity of the systems dysregulated, but results only partially replicate across cohorts. We find partial support for nonlinearity: trends are exponential but not always significantly so, and power is limited for groups with very high levels of dysregulation. Overall, results are consistent with-but not definitive proof of-frailty as an emergent property of complex systems dynamics. Substantial work remains to understand how frailty relates to underlying physiological dynamics across systems.

Cortisol and Dehydroepiandrosterone Response to Adrenocorticotropic Hormone and Frailty in Older Women.

BACKGROUND: The response to adrenocorticotropic hormone (ACTH) is poorly characterized in old-old adults and may provide insight into the physiologic response to stress. METHOD: We performed a standard 250 µg ACTH stimulation test in a home-based substudy of 51 women aged 85-96 years enrolled in the Women's Health and Aging Study II who were not taking corticosteroids. We examined the cortisol and dehydroepiandrosterone (DHEA) responses at 0, 30, 60, and 120 minutes, overall and by frailty status. RESULTS: The peak cortisol response to ACTH could not be determined, with the highest levels at the 120-minute time point. Pre- and post-ACTH stimulated cortisol levels did not differ by frailty status over this time frame, with no difference in the characteristics of the dose-response curves. Pre- and post-ACTH stimulated DHEA levels also did not differ by frailty status, though the dose-response curves suggested divergence after stimulation, with a more rapid DHEA response with increasing frailty. CONCLUSIONS: Our data demonstrate a robust cortisol response to ACTH challenge testing, but inadequate negative feedback in old-old women, resulting in prolonged exposure to cortisol. Future studies should examine dynamic cortisol and DHEA responses in this age group, using a less potent ACTH stimulus and longer collection period.

Progression of Physical Frailty and the Risk of All-Cause Mortality: Is There a Point of No Return?

OBJECTIVES: To investigate the rate and patterns of accumulation of frailty manifestations in relationship to all-cause mortality and whether there is a point in the progression of frailty beyond which the process becomes irreversible and death becomes imminent (a.k.a. point of no return). DESIGN: Longitudinal observational study. SETTING: Community or a non-nursing home residential care setting. PARTICIPANTS: Two thousand five hundred and fifty seven robust older adults identified at baseline in 2011 with follow-up for all-cause mortality between 2011 and 2018. MEASUREMENTS: Frailty was measured by the physical frailty phenotype. Cox models were used to study the relationships of the number of frailty criteria (0-5) at each point in time and its accumulation patterns with all-cause mortality. Markov state-transition models were used to study annual transitions between health states (i.e., frailty, recovery, and death) after becoming frail among those with frailty onset (n = 373). RESULTS: There was a nonlinear association between greater number of frailty criteria and increasing risk of mortality, with a notable risk acceleration after having accumulated all five criteria (hazard ratio (HR) = 32.6 vs none, 95% confidence interval (CI) = 15.7-67.5). In addition, the risk of one-year mortality tripled, and the likelihood of recovery (i.e., reverting to be robust or pre-frail) halved among those with five frailty criteria compared to those with three or four criteria. A 50% increase in mortality risk was also associated with frailty onset without (vs with) a prior history of pre-frailty (HR = 1.51, 95% CI = 1.20-1.90). CONCLUSION: Both the number and rate of accumulation of frailty criteria were associated with mortality risk. Although there was insufficient evidence to declare a point of no return, having all five-frailty criteria signals the beginning of a transition toward a point of no return. Ongoing monitoring of frailty progression could aid clinical and personal decision-making regarding timing of intervention and eventual transition from curative to palliative care.

The Current State of HIV and Aging: Findings Presented at the 10th International Workshop on HIV and Aging.

With increasing effectiveness of antiretroviral therapy, people with HIV (PWH) are living longer and the prevalence of older PWH continues to increase. Accordingly, PWH are experiencing an increased burden of age-related comorbidities. With this shifting demographics, clinicians and researchers face additional challenges in how to identify, address, and manage the complex intersections of HIV- and aging-related conditions. Established in 2009, the International Workshop on HIV and Aging brings together clinicians and researchers in cross-disciplinary fields along with community advocates and PWH to address the multidisciplinary nature of HIV and aging. This article summarizes plenary talks from the 10th Annual International Workshop on HIV and Aging, which took place in New York City on October 10 and 11, 2019. Presentation topics included the following: the burdens of HIV-associated comorbidities, aging phenotypes, community engagement, and loneliness; these issues are especially important for older PWH, considering the current COVID-19 pandemic. We also discuss broad questions and potential directions for future research necessary to better understand the interaction between HIV and aging.

Cross-country and historical variation in alcohol consumption among older men and women: Leveraging recently harmonized survey data in 21 countries.

BACKGROUND: Alcohol consumption causes greater harm in older than younger adults. As the population ages, understanding cross-country and time-varying drinking patterns of older adults is of critical importance. Available evidence relies primarily on ecological data. METHODS: We harmonized survey data for 179,881 adults age 50+ observed repeatedly between 1998 and 2016 in 21 countries. Next, we estimated historical variation in consumption across countries (overall and stratified by gender and age group 50-64/65+). RESULTS: On average, 51.95 % of older adults consumed any alcohol over the observed period. For 13 countries, the proportion of older adults who drink increased (mean annual increase: 0.76 percent points). Heavy drinking (men drinks/day>3 or binge>5, women drinks/day>2 or binge>4) peaked at 23.54 % for England in 2010 and lifetime abstainers at 69.65 % for China in 2011. Across countries and among drinkers, consumption frequency was 2.57 days/week, the number of standard drink units when drinking was 2.57, and the average number of drinks/day over a week was 1.12. Consumption patterns varied substantially across countries and historical time. Overall probability and frequency of consumption were higher in men than women, with the largest gaps observed in 2011 for China, but gender gaps decreased (even reversed) in the young old and varied across country and time. CONCLUSIONS: Wide variation in older adults' alcohol consumption across countries and time suggests that broad scale prevention and intervention efforts can be harnessed for potential population-level health benefits. Further variation by gender and age reflect physiological and social factors simultaneously shaping alcohol consumption.

Is Aging Biology Ageist?

The scientific questions we pursue are shaped by our cultural assumptions and biases, often in ways we are unaware. Here, we argue that modern biases against older adults (ageism) have unconsciously led aging biologists to assume that traits of older individuals are negative and those of younger individuals positive. We illustrate this bias with the example of how a medieval Chinese scholar might have approached the task of understanding aging biology. In particular, aging biologists have tended to emphasize functional declines during aging, rather than biological adaptation and population selection or composition processes; the reality is certainly that all these processes interact. Failure to make these distinctions could lead to interventions that improve superficial markers of aging while harming underlying health, particularly as the health priorities of older adults (autonomy, function, freedom from suffering, etc.) are often quite different from the goals of aging biologists (reducing disease, prolonging life). One approach to disentangling positive, negative, and neutral changes is to map trajectories of change across the life course of an individual (physiobiography). We emphasize that our goal is not to criticize our colleagues-we have been guilty too-but rather to help us all improve our science.

Frailty: implications for clinical practice and public health.

Frailty is an emerging global health burden, with major implications for clinical practice and public health. The prevalence of frailty is expected to rise alongside rapid growth in the ageing population. The course of frailty is characterised by a decline in functioning across multiple physiological systems, accompanied by an increased vulnerability to stressors. Having frailty places a person at increased risk of adverse outcomes, including falls, hospitalisation, and mortality. Studies have shown a clear pattern of increased health-care costs and use associated with frailty. All older adults are at risk of developing frailty, although risk levels are substantially higher among those with comorbidities, low socioeconomic position, poor diet, and sedentary lifestyles. Lifestyle and clinical risk factors are potentially modifiable by specific interventions and preventive actions. The concept of frailty is increasingly being used in primary, acute, and specialist care. However, despite efforts over the past three decades, agreement on a standard instrument to identify frailty has not yet been achieved. In this Series paper, we provide an overview of the global impact and burden of frailty, the usefulness of the frailty concept in clinical practice, potential targets for frailty prevention, and directions that need to be explored in the future.