Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-03-28DOI: 10.1016/j.lanplh.2026.101434
Michael D Garber PhD , David Rojas-Rueda PhD
{"title":"Car dependency and US environmental health research: a long drive from motonormativity to planetary health","authors":"Michael D Garber PhD , David Rojas-Rueda PhD","doi":"10.1016/j.lanplh.2026.101434","DOIUrl":"10.1016/j.lanplh.2026.101434","url":null,"abstract":"<div><div>The US National Institute of Environmental Health Sciences (NIEHS) has advanced understanding of traffic-related air pollution and its health impacts. Yet the research funder has not recognised car dependency itself as a structural environmental exposure that shapes population health through multiple environmental pathways beyond air quality, including traffic injuries, noise, heat, and greenhouse gas emissions. The US public health research enterprise, and the NIEHS in particular, should encourage environmental health researchers to apply their expertise to car dependency, a societal status quo with far-reaching implications for environmental justice, population health, and planetary health. Planetary health provides a useful framework for this reorientation, urging researchers to study population health and climate-related consequences together rather than in isolation. Doing so will require the NIEHS to adopt a broader conception of health-related outcomes than it has traditionally applied, including population-level health effects—which might differ in direction from individual-level counterparts—and indicators of climate change mitigation and adaptation. Given its methodological breadth and cross-disciplinary tradition, the environmental health research community is well-positioned to lead this effort.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101434"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147582861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-03-11DOI: 10.1016/j.lanplh.2026.101444
Emmanuel Raju , Ricardo Fuentealba
{"title":"Rethinking labour in food systems for planetary health","authors":"Emmanuel Raju , Ricardo Fuentealba","doi":"10.1016/j.lanplh.2026.101444","DOIUrl":"10.1016/j.lanplh.2026.101444","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101444"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147460611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-02-17DOI: 10.1016/j.lanplh.2025.101408
Felix Creutzig Prof , Fatima Denton Prof , Emmie Hine MA , Somya Joshi Prof , Gong Ke Prof , Yara Kyrychenko BA , Xue Lan Prof , Dirk Messner Prof , Daniel W O’Neill Prof
{"title":"Governing artificial intelligence for planetary health","authors":"Felix Creutzig Prof , Fatima Denton Prof , Emmie Hine MA , Somya Joshi Prof , Gong Ke Prof , Yara Kyrychenko BA , Xue Lan Prof , Dirk Messner Prof , Daniel W O’Neill Prof","doi":"10.1016/j.lanplh.2025.101408","DOIUrl":"10.1016/j.lanplh.2025.101408","url":null,"abstract":"<div><div>Establishing global governance of artificial intelligence (AI) is becoming an increasingly pressing challenge to ensure the provision of global public goods and to mitigate harmful effects on societies and the planet. Current debates around AI take various forms, follow diverse narratives, and centre variously on economic, social, environmental, or safety aspects. Here, we make three contributions. First, we classify risks and challenges of AI across the social, planetary, and safety domains. Second, we show that AI should be governed as a global commons, requiring coordinated interventions across all three domains, reflecting relevant inter-domain feedback loops, and root drivers, such as the pursuit of monopolistic AI power and the AI-infused media environment. Third, we identify data, energy, and compute as relevant regulatory dimensions across social, planetary, and safety domains. We conclude by emphasising the importance of limiting agentic AI, incentivising depolarising algorithms on social media, and setting AI dynamics within the context of global equity.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101408"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146259024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-02-27DOI: 10.1016/j.lanplh.2026.101440
Sera Kim PhD , Yejin Kim BSc , Jinah Park MPH , Ranyeong Kim PhD , Prof Whanhee Lee PhD , Prof Michelle L Bell PhD , Prof Jong-Tae Lee PhD
{"title":"Leave no one behind: a call to include people with disabilities in climate change and health research","authors":"Sera Kim PhD , Yejin Kim BSc , Jinah Park MPH , Ranyeong Kim PhD , Prof Whanhee Lee PhD , Prof Michelle L Bell PhD , Prof Jong-Tae Lee PhD","doi":"10.1016/j.lanplh.2026.101440","DOIUrl":"10.1016/j.lanplh.2026.101440","url":null,"abstract":"<div><div>Climate change disproportionately affects more than 1 billion people with disabilities worldwide. However, this population remains substantially under-represented in research on climate change and health. In this Personal View, we discuss how climate change affects the health of people with disabilities through both direct impacts (eg, extreme temperatures and climate-related disasters) and indirect impacts (eg, forced displacement and unintended consequences of mitigation and adaptation strategies). We also explore the current research gaps and key considerations for understanding climate change-related health risks in this population. A major barrier to disability-inclusive research is the scarcity of health databases that incorporate disability-related characteristics. Prioritising the collection and linkage of disability-related information with environmental and health data is crucial for advancing this field. The heterogeneity among people with disabilities warrants particular attention, as different types of disabilities and sociodemographic factors create distinct vulnerability patterns. We call for disability-inclusive epidemiological studies to address these knowledge gaps and develop equitable adaptation strategies that protect the health and rights of people with disabilities in a rapidly changing climate.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101440"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147345385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Association between Great Salt Lake desiccation, air quality, and major depressive episodes: an ecological study","authors":"Maheshwari Neelam PhD , Kamaldeep Bhui MD , Trent Cowan MSc , Brian Freitag PhD","doi":"10.1016/j.lanplh.2025.101405","DOIUrl":"10.1016/j.lanplh.2025.101405","url":null,"abstract":"<div><h3>Background</h3><div>The desiccation of the Great Salt Lake (UT, USA), driven by water use and diversion, has reduced water inflow and exposed vast areas of lakebed. Exposed lakebed can release airborne PM<sub>2·5</sub>, degrading air quality in surrounding communities. Previous research has established links between air pollution and mental health outcomes, but there is little research on the specific mental health effects of declining lake levels and associated dust exposure. We aimed to examine the association between Great Salt Lake water levels, PM<sub>2·5</sub> concentration, and major depressive episodes in the surrounding population.</div></div><div><h3>Methods</h3><div>In this ecological study, we investigated relationships between Great Salt Lake decline, PM<sub>2·5</sub> exposure, and mental health outcomes across all Utah counties using hydrological, atmospheric, and epidemiological datasets between 2006 and 2018. These data included in-situ lake measurements (from the US Geological Survey), PM<sub>2·5</sub> from ground-based monitoring and reanalysis datasets (from MERRA-2 and AirNow network stations), the Social Vulnerability Index (from US Centers for Disease Control and Prevention), and records of major depressive episodes (from the Substance Abuse and Mental Health Services Administration). All datasets underwent quality control, variable preparation, and calculation of Z scores, and were harmonised both spatially and temporally. We calculated PM<sub>2·5</sub> exceedance days based on US Environmental Protection Agency and WHO thresholds for harms, namely more than 15 μg/m<sup>3</sup> and more than 35 μg/m<sup>3</sup>. Statistical analyses included Kruskal–Wallis tests for non-parametric group comparisons, followed by Dunn's post-hoc tests for pairwise comparisons. An ANOVA examined direct (main) and indirect (interaction) effects between factors, with F statistics measuring between-group versus within-group variance ratios.</div></div><div><h3>Findings</h3><div>Great Salt Lake shrinkage was linked to poorer air quality, with decreasing lake area (<em>r</em>=–0·28; p<0·0001) and volume (<em>r</em>=–0·31; p<0·0001) associated with more PM<sub>2·5</sub> exceedance days. A dose–response relationship was found between depression severity and pollution exposure: individuals who had fewer high PM<sub>2·5</sub> exceedance days had very low depression scores, whereas those exposed to more exceedance days had high and very high scores (H 28·9574; p<0·0001). This relationship showed nuanced differences across seasons (H 152·4771; p<0·0001) and age groups (H 51·8269; p<0·0001). Finally, our analysis showed a direct association between PM<sub>2·5</sub> exceedance days and depression severity (F 12·341; p=0·0005), whereas social vulnerability acted as a significant moderator (F 6·979; p=0·0084). This interaction indicates that for a given level of PM<sub>2·5</sub> exposure, socially vulnerable populations have a disprop","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101405"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147610335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-03-25DOI: 10.1016/j.lanplh.2026.101442
Christopher S Malley PhD , Prof Drew T Shindell PhD
{"title":"Estimating the vulnerability contribution to 1990–2019 changes in the health burden of ambient air pollution: a global modelling study","authors":"Christopher S Malley PhD , Prof Drew T Shindell PhD","doi":"10.1016/j.lanplh.2026.101442","DOIUrl":"10.1016/j.lanplh.2026.101442","url":null,"abstract":"<div><h3>Background</h3><div>Efforts to reduce the health burden of air pollution focus on reducing pollutant exposure. Less studied are changes in the vulnerability of populations to ambient fine particulate matter (PM<sub>2·5</sub>) exposure that also affect PM<sub>2·5</sub>-attributable mortality rates. Vulnerability to PM<sub>2·5</sub> is the capacity of a population to be harmed by exposure. Multiple factors affect vulnerability, including pre-existing medical conditions, socioeconomic status, access to and quality of health care, race, and smoking. We aimed to quantify how changes in vulnerability to PM<sub>2·5</sub> have affected PM<sub>2·5</sub>-attributable mortality rate trends between 1990 and 2019.</div></div><div><h3>Methods</h3><div>In this global modelling study, we used data on mortality rates from the Global Burden of Disease Study 2021, demographic data from UN Department of Economic and Social Affairs, and PM<sub>2·5</sub> concentration data from State of Global Air, to estimate 1990–2019 trends in national PM<sub>2·5</sub>-attributable mortality rates separately across age and sex categories for 193 countries. We used a demographic model to simulate 1990–2019 PM<sub>2·5</sub>-attributable mortality rates accounting only for the effect of changes in PM<sub>2·5</sub> exposure. The contribution of changes in vulnerability to 1990–2019 PM<sub>2·5</sub> mortality rate trends was estimated as the residual change in PM<sub>2·5</sub> mortality rates after accounting for the effect of changes in PM<sub>2·5</sub> exposure.</div></div><div><h3>Findings</h3><div>Between 1990 and 2019, global average age-standardised PM<sub>2·5</sub>-attributable mortality rates decreased by approximately 45% (140 deaths per 100 000 [95% CI 97–176] in 1990 and 78 deaths per 100 000 [54–98] in 2019). Approximately 48% of the decrease resulted from PM<sub>2·5</sub> exposure reductions (1·01 deaths per 100 000 per year [0·65–1·30]), and approximately 52% was from reductions in vulnerability to PM<sub>2·5</sub> (1·07 deaths per 100 000 per year [0·78–1·29]). Without vulnerability reductions, 1·7 million additional PM<sub>2·5</sub>-attributable deaths would have occurred in 2019. Globally, the sensitivity of PM<sub>2·5</sub>-attributable mortality rates to vulnerability changes was, on average, that a 1·8% reduction in non-PM<sub>2·5</sub> mortality rates was associated with a 1% reduction in PM<sub>2·5</sub>-attributable mortality rates.</div></div><div><h3>Interpretation</h3><div>Given the major contribution reductions in vulnerability to air pollution have made to reducing PM<sub>2·5</sub>-attributable mortality rates over the past three decades, identifying actions to reduce non-communicable diseases could contribute to reducing future air pollution health burdens. Air quality strategies should consider interventions to further reduce vulnerability, in addition to exposure reductions.</div></div><div><h3>Funding</h3><div>EU Horizon Europe.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101442"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147576017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Region-specific solutions for clean cooking and heating in rural China: a cost–benefit analysis","authors":"Guofeng Shen PhD , Yuanzheng Zhang PhD , Ke Jiang BSc , Ajay Pillarisetti PhD , Wenjun Meng PhD , Qirui Zhong PhD , Huizhong Shen PhD , Prof Hefa Cheng PhD , Prof Shu Tao PhD","doi":"10.1016/j.lanplh.2026.101439","DOIUrl":"10.1016/j.lanplh.2026.101439","url":null,"abstract":"<div><h3>Background</h3><div>Pervasive use of unclean solid fuels is impeding the transition to sustainable household energy by 2030 in many low-income and middle-income countries. The coal to gas or electricity policy in rural north China effectively reduced wintertime air pollution; however, this roadmap was challenged in the nationwide clean heating renovation due to unaffordability and reliable energy supply, rendering it unsustainable.</div></div><div><h3>Methods</h3><div>This study developed a new, multi-pronged framework for clean cooking and heating in rural China, including both long-term and short-term heating regions, relying primarily on affordable electrification with supplemental biofuel pellets. We performed cost–benefit analysis of this cleaning approach following the cause–effect chain from changes in pollutant emissions, indoor and outdoor air quality, and monetised health outcomes.</div></div><div><h3>Findings</h3><div>Under the investment cap for power grid renovation below ¥8000 per household (scenario H3), three-quarters of the population in the long-term heating region (ie, one-third of the national total rural population), could switch to electric heating. For the remaining households, affordable biofuel pellets can be adopted for heating (scenario H9). This transition would deliver notable benefits in reducing national residential primary PM<sub>2·5</sub> emissions by 65% (IQR 61–70) from the 724 Gg (612–967) in baseline H0 to 256 Gg (205–312) in H9, lowering exposure to PM<sub>2·5</sub> by 20% (16–25) from 50·2 μg/m<sup>3</sup> (40·4–63·5) in H0 to 40·4 μg/m<sup>3</sup> (33·1–50·2) in H9, and consequently averting 51 190 (37 480–66 990) premature deaths, with the estimated monetised health benefits being nearly 2·55 (1·43–4·40) times the cost. Meanwhile, clean cooking transition for the whole rural population (scenario C2) would avert 78 740 (56 240–103 390) premature deaths, with the benefit–cost ratio of 7·70 (4·17–14·70). Combining clean cooking and heating would yield more substantial effects across the country. Costs and health benefits exhibit spatial variability and differ across age groups.</div></div><div><h3>Interpretation</h3><div>The proposed pragmatic household clean energy framework would benefit over 1 million rural residents in China who still rely on traditional solid fuels to meet basic energy needs, with the monetised health benefits notably higher than the associated cost.</div></div><div><h3>Funding</h3><div>National Natural Science Foundation of China and Ministry of Education of the People's Republic of China.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101439"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147494659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lancet Planetary HealthPub Date : 2026-03-01Epub Date: 2026-01-28DOI: 10.1016/j.lanplh.2026.101430
Cahal McQuillan
{"title":"Planetary Health Research Digest","authors":"Cahal McQuillan","doi":"10.1016/j.lanplh.2026.101430","DOIUrl":"10.1016/j.lanplh.2026.101430","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 3","pages":"Article 101430"},"PeriodicalIF":21.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146097168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}