Annual Review of Public Health最新文献

Given its origins in high-income countries, the field of physical activity and public health research and promotion has broadly followed a choice-based model. However, a substantial amount of the physical activity occurring routinely in many settings, particularly in low- and middle-income countries (LMICs), is the result of economic necessity and is not due to true, free choices. We propose the "necessity- versus choice-based physical activity models" framework as a conceptual tool to ground physical activity and public health research and promotion efforts in LMICs, helping ensurethat these efforts are relevant, ethical, responsive, and respectful to local contexts. Identifying ways to ensure that LMIC populations can maintain high levels of active transport while increasing opportunities for active leisure must be prioritized. To promote equity, physical activity research, programs, and policies in LMICs must focus on improving the conditions under which necessity-driven physical activity occurs for a vast majority of the population.

Heat is a dangerous hazard that causes acute heat illness, chronic disease exacerbations, adverse pregnancy outcomes, and a range of injuries. Risks are highest during extreme heat events (EHEs), which challenge the capacity of health systems and other critical infrastructure. EHEs are becoming more frequent and severe, and climate change is driving an increasing proportion of heat-related mortality, necessitating more investment in health protection. Climate-resilient health systems are better positioned for EHEs, and EHE preparedness is a form of disaster risk reduction. Preparedness activities commonly take the form of heat action plans (HAPs), with many examples at various administrative scales. HAP activities can be divided into primary prevention, most important in the pre-event phase; secondary prevention, key to risk reduction early in an EHE;and tertiary prevention, important later in the event phase. After-action reports and other postevent evaluation activities are central to adaptive management of this climate-sensitive hazard.

Extreme weather events are expected to increase due to climate change, which could pose an additional burden of morbidity and mortality. In recent decades, drought severity has increased in several regions around the world, affecting health by increasing the risk of water-, food-, and vector-borne diseases, malnutrition, cardiovascular and respiratory illness, mental health disorders, and mortality. Drought frequency and severity are expected to worsen across large regions as a result of a decrease in precipitation and an increase in temperature and atmospheric evaporative demand, posing a pressing challenge for public health. Variation in impacts among countries and communities is due to multiple factors, such as aging, socioeconomic status, access to health care, and gender, affecting population resilience. Integrative proactive action plans focused on risk management are required, and resources should be transferred to developing countries to reduce their vulnerability and risk.

The impacts of climate change, such as sea-level rise and extreme weather events, are expected to increase and alter human migration and mobility. Climate-related mobility is not inherently a crisis; it can provide a pathway for adaptation to climate change. However, a growing body of research identifies health risks and some opportunities associated with climate-related mobility. This review examines recent research (published since 2018) on the climate change-mobility-health nexus; this research focuses largely on in-country mobility in Asia, Africa, and Pacific Island countries. It considers the links between human mobility and anthropogenic climate change and documents the findings of empirical research that addresses the health consequences of displacement, planned relocation, migration, and migration into sites of climate risk. The findings highlight the need for climate-sensitive and migrant-inclusive health care in a heating world.

Health behaviors are inextricably linked to health and well-being, yet issues such as physical inactivity and insufficient sleep remain significant global public health problems. Mobile technology-and the unprecedented scope and quantity of data it generates-has a promising but largely untapped potential to promote health behaviors at the individual and population levels. This perspective article provides multidisciplinary recommendations on the design and use of mobile technology, and the concomitant wealth of data, to promote behaviors that support overall health. Using physical activity as anexemplar health behavior, we review emerging strategies for health behavior change interventions. We describe progress on personalizing interventions to an individual and their social, cultural, and built environments, as well as on evaluating relationships between mobile technology data and health to establish evidence-based guidelines. In reviewing these strategies and highlighting directions for future research, we advance the use of theory-based, personalized, and human-centered approaches in promoting health behaviors.

In many cases, implementation approaches (composed of one or more strategies) may need to change over time to work optimally. We use a literature review to inform a mechanistic analysis of such on-the-go adaptations. We suggest that such adaptations of implementation strategies consist of three necessary steps. The first component is the initial effect of the implementation approach on intended implementation, service delivery, or clinical outcomes. Second, these initial effects must in turn be used to modify, alter, intensify, or otherwise change the implementation approach. Third, the modified approach itself has effects. Conceiving of adaptation as all three steps implies that a full understanding of adaptation involves (a) a sense of initial effects, (b) conceptualizing and documenting content and rationale for changes in approach (e.g., alteration, intensification), and (c) the effects of the changed approach (including how the latter effects depend on initial effects). Conceptualizing these steps can help researchers ask questions about adaptation (e.g., thresholds for change, dosing, potentiation, sequencing) to advance our understanding of implementation strategies.

The concepts of health misinformation and health disparities have been prominent in public health literature in recent years, in part because of the threat that each notion poses to public health. How exactly are misinformation proliferation and health disparities related, however? What roles might misinformation play in explaining the health disparities that we have documented in the United States and elsewhere? How might we mitigate the effects of misinformation exposure among people facing relatively poor health outcomes? In this review, we address such questions by first defining health disparities and misinformation as concepts and then considering how misinformation exposure might theoretically affect health decision-making and account for disparate health behavior and health outcomes. We alsoassess the potential for misinformation-focused interventions to address health disparities based on available literature and call for future research to address gaps in our current evidence base.

Climate change is a threat multiplier, exacerbating underlying vulnerabilities, worsening human health, and disrupting health systems' abilities to deliver high-quality continuous care. This review synthesizes the evidence of what the health care sector can do to adapt to a changing climate while reducing its own climate impact, identifies barriers to change, and makes recommendations to achieve sustainable, resilient health care systems.

Public health surveillance is defined as the ongoing, systematic collection, analysis, and interpretation of health data and is closely integrated with the timely dissemination of information that the public needs to know and upon which the public should act. Public health surveillance is central to modern public health practice by contributing data and information usually through a national notifiable disease reporting system (NNDRS). Although early identification and prediction of future disease trends may be technically feasible, more work is needed to improve accuracy so that policy makers can use these predictions to guide prevention and control efforts. In this article, we review the advantages and limitations of the current NNDRS in most countries, discuss some lessons learned about prevention and control from the first wave of COVID-19, and describe some technological innovations in public health surveillance, including geographic information systems (GIS), spatial modeling, artificial intelligence, information technology, data science, and the digital twin method. We conclude that the technology-driven innovative public health surveillance systems are expected to further improve the timeliness, completeness, and accuracy of case reporting during outbreaks and also enhance feedback and transparency, whereby all stakeholders should receive actionable information on control and be able to limit disease risk earlier than ever before.

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space.