Lancet Planetary Health最新文献

Policy making has long focused on economic growth as measured by gross domestic product (GDP), diverting attention from sustainable wellbeing for all. Despite high-quality proposals to go beyond GDP, their integration into policy and societal discourse remains limited. A new UN initiative, Valuing What Counts, provides an opportunity for establishing and institutionalising global measurement of metrics beyond GDP, a crucial step to enable a transition into a safe and just space for humanity. Here, we inform this process by consolidating 50 years of literature on Beyond GDP metrics, addressing three core challenges. First, we resolve the lack of interdisciplinary collaboration by integrating five scientific schools of thought in one measurement approach. Second, we alleviate confusion arising from numerous Beyond GDP alternatives, offering a structured analysis of 65 metrics, delineating their measurement objectives. Finally, we bridge the divide between scientific proposals and country-specific approaches. We unite country-specific needs with a standardised and interdisciplinary measurement approach, presenting a dashboard for sustainable and inclusive wellbeing.

Planetary health is an emerging field that emphasises that humans depend on a healthy Earth for survival and, conversely, that the sustainability of Earth systems is dependent on human behaviours. In response to member demands for resources to support teaching and learning related to planetary health, the Consortium of Universities for Global Health (CUGH) convened a working group to develop a set of planetary health learning objectives (PHLOs) that would complement the existing ten CUGH global health learning objectives. The eight PHLOs feature Earth system changes, planetary boundaries, and climate change science; ecological systems and One Health; human health outcomes; risk assessment, vulnerability, and resilience; policy, governance, and laws (including the UN Framework Convention on Climate Change and the Paris Agreement); roles and responsibilities of governments, businesses, civil society organisations, other institutions, communities, and individuals for mitigation, adaptation, conservation, restoration, and sustainability; environmental ethics, human rights, and climate justice; and environmental literacy and communication. Educators who use the PHLOs as a foundation for teaching, curriculum design, and programme development related to the health–environment nexus will equip learners with a knowledge of planetary health science, interventions, and communication that is essential for future global health professionals.

Background

Reducing child mortality is a Sustainable Development Goal, and climate change constitutes numerous challenges for Africa. Previous research has shown an association between leading causes of child mortality and climate change. However, few studies have examined these effects in detail. We aimed to explore the effects of ambient heat on neonate, post-neonate, and child mortality rates.

Methods

For this pooled time-series analysis, health data were obtained from the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) Health and Demographic Surveillance System. We included data from 29 settlements from 13 countries across Africa, collected via monthly surveys from Jan 1, 1993, to Dec 31, 2016. Climate data were obtained from ERA5, collected from Jan 1, 1991, to Dec 31, 2019. We pooled these data for monthly mean daily maximum wet bulb globe temperature (WBGT) and downscaled to geolocations. Due to data heaping, we pooled our health data on a monthly temporal scale and a spatial scale into six different climate regions (ie, Sahel [ie, Burkina Faso and northern Ghana], Guinea [ie, southern Ghana, Côte d'Ivoire, and Nigeria], Senegal and The Gambia, eastern Africa [ie, Kenya, Malawi, Tanzania, Mozambique, and Uganda], South Africa, and Ethiopia). Our outcomes were neonate (ie, younger than 28 days), post-neonate (ie, aged 28 days to 1 year), and child (ie, older than 1 year and younger than 5 years) mortality. To assess the association between WBGT and monthly all-cause mortality, we used a time-series regression with a quasi-Poisson, polynomial-distributed lag model.

Findings

Between Jan 1, 1993, and Dec 31, 2016, there were 44 909 deaths in children younger than 5 years across the 29 sites in the 13 African countries: 10 078 neonates, 14 141 post-neonates, and 20 690 children. We observed differences in the association of heat with neonate, post-neonate, and child mortality by study region. For example, for Ethiopia, the relative risk ratio of mortality at the 95th percentile compared with median heat exposure during the study period was 1·14 (95% CI 1·06–1·23) for neonates, 0·99 (0·90–1·07) for post-neonates, and 0·79 (0·73–0·87) for children. Across the whole year, there was a significant increase in the relative risk of increased mortality for children in eastern Africa (relative risk 1·27, 95% CI 1·19–1·36) and Senegal and The Gambia (1·11, 1·04–1·18).

Interpretation

Our results show that the influence of extreme heat on mortality risk in children younger than 5 years varies by age group, region, and season. Future research should explore potentially informative ways to measure subtleties of heat stress and the factors contributing to vulnerability.

Funding

EU Horizons as part of the Heat Indicators for Global Health (HIGH) Horizons project.

Weather and climate patterns play an intrinsic role in societal health, yet a comprehensive synthesis of specific hazard–mortality causes does not currently exist. Country-level health burdens are thus highly uncertain, but harnessing collective expert knowledge can reduce this uncertainty, and help assess diverse mortality causes beyond what is explicitly quantified. Here, surveying 30 experts, we provide the first structured expert judgement of how weather and climate directly impact mortality, using the UK as an example. Current weather-related mortality is dominated by short-term exposure to hot and cold temperatures leading to cardiovascular and respiratory failure. We find additional underappreciated health outcomes, especially related to long-exposure hazards, including heat-related renal disease, cold-related musculoskeletal health, and infectious diseases from compound hazards. We show potential future worsening of cause-specific mortality, including mental health from flooding or heat, and changes in infectious diseases. Ultimately, this work could serve to develop an expert-based understanding of the climate-related health burden in other countries.

Background

Ambient air pollution, including particulate matter (such as PM₁₀ and PM_2·5) and nitrogen dioxide (NO₂), has been linked to increases in mortality. Whether populations’ vulnerability to these pollutants has changed over time is unclear, and studies on this topic do not include multicountry analysis. We evaluated whether changes in exposure to air pollutants were associated with changes in mortality effect estimates over time.

Methods

We extracted cause-specific mortality and air pollution data collected between 1995 and 2016 from the Multi-Country Multi-City (MCC) Collaborative Research Network database. We applied a two-stage approach to analyse the short-term effects of NO₂, PM₁₀, and PM_2·5 on cause-specific mortality using city-specific time series regression analyses and multilevel random-effects meta-analysis. We assessed changes over time using a longitudinal meta-regression with time as a linear fixed term and explored potential sources of heterogeneity and two-pollutant models.

Findings

Over 21·6 million cardiovascular and 7·7 million respiratory deaths in 380 cities across 24 countries over the study period were included in the analysis. All three air pollutants showed decreasing concentrations over time. The pooled results suggested no significant temporal change in the effect estimates per unit exposure of PM₁₀, PM_2·5, or NO₂ and mortality. However, the risk of cardiovascular mortality increased from 0·37% (95% CI –0·05 to 0·80) in 1998 to 0·85% (0·55 to 1·16) in 2012 with a 10 μg/m³ increase in PM_2·5. Two-pollutant models generally showed similar results to single-pollutant models for PM fractions and indicated temporal differences for NO₂.

Interpretation

Although air pollution levels decreased during the study period, the effect sizes per unit increase in air pollution concentration have not changed. This observation might be due to the composition, toxicity, and sources of air pollution, as well as other factors, such as socioeconomic determinants or changes in population distribution and susceptibility.

Funding

None.