Pub Date : 2026-01-30DOI: 10.1016/j.lanplh.2025.101424
Stella Nordhagen, Ty Beal, Mario Herrero, Erdgin Mane, Lynnette M Neufeld, Kristina Sokourenko
Although dietary shifts from animal-source foods (ASFs) to alternatives (Alt-ASFs) could considerably affect livelihoods in food supply chains, the effects will likely vary by the type of Alt-ASFs. In this Review we identified 45 studies, including descriptive analysis of the present state of the sector and modelling studies of future trends. Key findings indicate that cell-based foods would likely reduce overall employment opportunities, while favouring high-skilled workers in high-income countries, although job quality might improve. Shifts towards plant-based foods might have small net employment effects, creating opportunities for legume producers but reducing jobs in the livestock sector. Employment in alga-based food production might resemble existing fishery jobs, whereas employment in insect-based food sectors could support diverse workers across various contexts; however, information on this nascent sector is insufficient. Research on this topic is scarce, with numerous gaps, including estimates of job numbers, income comparisons, comparative analyses of job quality, and studies in low-income and middle-income country contexts. Hence, considerable further research is needed to inform policies that can support a just livelihood transition.
{"title":"Livelihood implications of dietary shifts to animal-source food alternatives: a scoping review.","authors":"Stella Nordhagen, Ty Beal, Mario Herrero, Erdgin Mane, Lynnette M Neufeld, Kristina Sokourenko","doi":"10.1016/j.lanplh.2025.101424","DOIUrl":"https://doi.org/10.1016/j.lanplh.2025.101424","url":null,"abstract":"<p><p>Although dietary shifts from animal-source foods (ASFs) to alternatives (Alt-ASFs) could considerably affect livelihoods in food supply chains, the effects will likely vary by the type of Alt-ASFs. In this Review we identified 45 studies, including descriptive analysis of the present state of the sector and modelling studies of future trends. Key findings indicate that cell-based foods would likely reduce overall employment opportunities, while favouring high-skilled workers in high-income countries, although job quality might improve. Shifts towards plant-based foods might have small net employment effects, creating opportunities for legume producers but reducing jobs in the livestock sector. Employment in alga-based food production might resemble existing fishery jobs, whereas employment in insect-based food sectors could support diverse workers across various contexts; however, information on this nascent sector is insufficient. Research on this topic is scarce, with numerous gaps, including estimates of job numbers, income comparisons, comparative analyses of job quality, and studies in low-income and middle-income country contexts. Hence, considerable further research is needed to inform policies that can support a just livelihood transition.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101424"},"PeriodicalIF":21.6,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108002","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}
Pub 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":"https://doi.org/10.1016/j.lanplh.2026.101430","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101430"},"PeriodicalIF":21.6,"publicationDate":"2026-01-28","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}
Pub Date : 2026-01-01DOI: 10.1016/j.lanplh.2025.101400
Prof Xia Meng PhD , Yuchang Zhou PhD , Su Shi MS , Prof Shuxiao Wang PhD , Prof Maryam Zaid PhD , Prof Hongliang Zhang PhD , Prof Jianlin Hu PhD , Prof Gang Li PhD , Prof Haidong Kan PhD , Prof Maigeng Zhou PhD
<div><h3>Background</h3><div>The hazardous effects of fine particulate matter (PM<sub>2·5</sub>) could vary by source. However, evidence regarding the long-term effects of source-specific PM<sub>2·5</sub> on mortality is scarce, particularly in countries with high levels of pollution. We aimed to assess the associations between long-term exposure to source-specific PM<sub>2·5</sub> and mortality in China, a low-income and middle-income country with high concentrations of PM<sub>2·5</sub>.</div></div><div><h3>Methods</h3><div>This nationwide cohort study used data from the 2010–11 wave of the China Chronic Disease and Risk Factor Surveillance (CCDRFS) project, which surveyed a geographically and socioeconomically representative sample of participants aged 18 years and older across mainland China. Participants were followed up through mortality information from the national Disease Surveillance Point system. Source-specific PM<sub>2·5</sub> concentrations were estimated by combining high-resolution concentration predictions generated by a random forest model with estimates of the proportions contributed by each of six PM<sub>2·5</sub> sources—industry, energy, transportation, residential, agriculture, and other—derived from the Community Multiscale Air Quality model. A Cox proportional hazards model, in which exposures were treated as time-varying covariates, was used to evaluate the associations between long-term exposure to source-specific PM<sub>2·5</sub> and mortality from total non-accidental causes, cardiopulmonary disease, and lung cancer.</div></div><div><h3>Findings</h3><div>98 058 participants were followed from the date of their CCDRFS survey, conducted between January, 2010, and December, 2011, until death or Dec 31, 2020, whichever was earliest. Of these 98 058 participants, 96 955 were included in the analyses. The mean age was 46·5 years (SD 15·0); 52 631 (54·3%) participants were female and 44 324 (45·7%) were male. Almost all anthropogenic sources of PM<sub>2·5</sub> were significantly associated with mortality. For each IQR increase, PM<sub>2·5</sub> from industry (hazard ratio 1·079 [95% CI 1·024–1·137]), transportation (1·076 [1·034–1·119]), and residential (1·075 [1·029–1·124]) sources had the strongest associations with mortality from total non-accidental causes. For mortality from cardiopulmonary diseases, PM<sub>2·5</sub> from transportation (1·106 [1·049–1·165]), industrial (1·085 [1·011–1·163]), and residential (1·070 [1·012–1·130]) sources had the strongest associations, and for mortality from lung cancer, the strongest associations were observed for PM<sub>2·5</sub> from agricultural (1·256 [1·089–1·449]), industrial (1·235 [1·049–1·454]), and transportation (1·204 [1·048–1·384]) sources.</div></div><div><h3>Interpretation</h3><div>We show that the mortality risks of PM<sub>2·5</sub> exposure can vary according to the source. These findings could contribute evidence for the development of health-oriented policies to enha
{"title":"Mortality and long-term exposure to source-specific PM2·5: evidence from a national cohort study in China","authors":"Prof Xia Meng PhD , Yuchang Zhou PhD , Su Shi MS , Prof Shuxiao Wang PhD , Prof Maryam Zaid PhD , Prof Hongliang Zhang PhD , Prof Jianlin Hu PhD , Prof Gang Li PhD , Prof Haidong Kan PhD , Prof Maigeng Zhou PhD","doi":"10.1016/j.lanplh.2025.101400","DOIUrl":"10.1016/j.lanplh.2025.101400","url":null,"abstract":"<div><h3>Background</h3><div>The hazardous effects of fine particulate matter (PM<sub>2·5</sub>) could vary by source. However, evidence regarding the long-term effects of source-specific PM<sub>2·5</sub> on mortality is scarce, particularly in countries with high levels of pollution. We aimed to assess the associations between long-term exposure to source-specific PM<sub>2·5</sub> and mortality in China, a low-income and middle-income country with high concentrations of PM<sub>2·5</sub>.</div></div><div><h3>Methods</h3><div>This nationwide cohort study used data from the 2010–11 wave of the China Chronic Disease and Risk Factor Surveillance (CCDRFS) project, which surveyed a geographically and socioeconomically representative sample of participants aged 18 years and older across mainland China. Participants were followed up through mortality information from the national Disease Surveillance Point system. Source-specific PM<sub>2·5</sub> concentrations were estimated by combining high-resolution concentration predictions generated by a random forest model with estimates of the proportions contributed by each of six PM<sub>2·5</sub> sources—industry, energy, transportation, residential, agriculture, and other—derived from the Community Multiscale Air Quality model. A Cox proportional hazards model, in which exposures were treated as time-varying covariates, was used to evaluate the associations between long-term exposure to source-specific PM<sub>2·5</sub> and mortality from total non-accidental causes, cardiopulmonary disease, and lung cancer.</div></div><div><h3>Findings</h3><div>98 058 participants were followed from the date of their CCDRFS survey, conducted between January, 2010, and December, 2011, until death or Dec 31, 2020, whichever was earliest. Of these 98 058 participants, 96 955 were included in the analyses. The mean age was 46·5 years (SD 15·0); 52 631 (54·3%) participants were female and 44 324 (45·7%) were male. Almost all anthropogenic sources of PM<sub>2·5</sub> were significantly associated with mortality. For each IQR increase, PM<sub>2·5</sub> from industry (hazard ratio 1·079 [95% CI 1·024–1·137]), transportation (1·076 [1·034–1·119]), and residential (1·075 [1·029–1·124]) sources had the strongest associations with mortality from total non-accidental causes. For mortality from cardiopulmonary diseases, PM<sub>2·5</sub> from transportation (1·106 [1·049–1·165]), industrial (1·085 [1·011–1·163]), and residential (1·070 [1·012–1·130]) sources had the strongest associations, and for mortality from lung cancer, the strongest associations were observed for PM<sub>2·5</sub> from agricultural (1·256 [1·089–1·449]), industrial (1·235 [1·049–1·454]), and transportation (1·204 [1·048–1·384]) sources.</div></div><div><h3>Interpretation</h3><div>We show that the mortality risks of PM<sub>2·5</sub> exposure can vary according to the source. These findings could contribute evidence for the development of health-oriented policies to enha","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 1","pages":"Article 101400"},"PeriodicalIF":21.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145967576","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}
Pub Date : 2026-01-01DOI: 10.1016/j.lanplh.2025.101406
Megan Deeney MSc , Prof Lorie Hamelin PhD , Claire Vialle PhD , Prof Xiaoyu Yan PhD , Rosemary Green PhD , Joe Yates MSc , Prof Suneetha Kadiyala PhD
<div><h3>Background</h3><div>Quantifying human health impacts throughout plastics lifecycles can inform global action against pollution that promotes sustainability across environmental, economic, and health concerns.</div></div><div><h3>Methods</h3><div>We combined material flow analysis, using the Plastics-to-Ocean model, with lifecycle assessment (LCA) to quantitatively compare disability-adjusted life-years (DALYs) associated with plastics lifecycles, under different global consumption and waste management scenarios between 2016 and 2040. We estimated global health effects of greenhouse gases, particulate matter, and specific chemical emissions associated with plastics commonly found in municipal solid waste (approximately 64% of global plastics production), from their production, transportation, recycling, end-of-life fates, and those associated with illustrative alternative single-use materials and glass reuse systems. Direct health effects of exposure to chemicals during product use and microplastics and nanoplastics pollution were not included due to the absence of available inventory data. We conducted the LCA using Ecoinvent version 3.8 and 3.10 (cutoff) data and ReCiPe 2016 impact assessment method, updated with Intergovernmental Panel on Climate Change 2021 global warming characterisation factors.</div></div><div><h3>Findings</h3><div>We estimated a cumulative 83 million DALYs associated with business as usual (BAU) projections of the global plastics system (2016–40), mainly due to the health burdens of global warming, air pollution, and chemical toxic effect-related disease and premature mortality. Compared with BAU, reducing total global primary plastics production, combined with improving waste collection and disposal, increasing recycling, and replacing specific plastics with alternative materials and reuse systems reduced annual DALYs by 43% (46–23% in material substitution ratio sensitivity analyses) in 2040, but still indicated rising global health burdens over time. Reducing primary plastics production, without material substitution, was the most effective single lever for reducing emissions and alleviating associated health burdens.</div></div><div><h3>Interpretation</h3><div>Adverse health effects are associated with emissions throughout plastics lifecycles, particularly from production, though the non-disclosure of plastics chemical composition is severely limiting LCA capacity to inform effective policy. Deep reductions in primary production are needed in leading plastics transition roadmaps, with assessments that account for plastics’ functions across sectors, including exposure and health impacts from plastics’ use, from chemicals, microplastics, and nanoplastics, facilitated by mandatory transparency and reporting. Globally coordinated policy that addresses these upstream impacts through a full lifecycle approach is crucial to protecting human health.</div></div><div><h3>Funding</h3><div>Innovative Methods and Metrics f
{"title":"Global health burdens of plastics: a lifecycle assessment model from 2016 to 2040","authors":"Megan Deeney MSc , Prof Lorie Hamelin PhD , Claire Vialle PhD , Prof Xiaoyu Yan PhD , Rosemary Green PhD , Joe Yates MSc , Prof Suneetha Kadiyala PhD","doi":"10.1016/j.lanplh.2025.101406","DOIUrl":"10.1016/j.lanplh.2025.101406","url":null,"abstract":"<div><h3>Background</h3><div>Quantifying human health impacts throughout plastics lifecycles can inform global action against pollution that promotes sustainability across environmental, economic, and health concerns.</div></div><div><h3>Methods</h3><div>We combined material flow analysis, using the Plastics-to-Ocean model, with lifecycle assessment (LCA) to quantitatively compare disability-adjusted life-years (DALYs) associated with plastics lifecycles, under different global consumption and waste management scenarios between 2016 and 2040. We estimated global health effects of greenhouse gases, particulate matter, and specific chemical emissions associated with plastics commonly found in municipal solid waste (approximately 64% of global plastics production), from their production, transportation, recycling, end-of-life fates, and those associated with illustrative alternative single-use materials and glass reuse systems. Direct health effects of exposure to chemicals during product use and microplastics and nanoplastics pollution were not included due to the absence of available inventory data. We conducted the LCA using Ecoinvent version 3.8 and 3.10 (cutoff) data and ReCiPe 2016 impact assessment method, updated with Intergovernmental Panel on Climate Change 2021 global warming characterisation factors.</div></div><div><h3>Findings</h3><div>We estimated a cumulative 83 million DALYs associated with business as usual (BAU) projections of the global plastics system (2016–40), mainly due to the health burdens of global warming, air pollution, and chemical toxic effect-related disease and premature mortality. Compared with BAU, reducing total global primary plastics production, combined with improving waste collection and disposal, increasing recycling, and replacing specific plastics with alternative materials and reuse systems reduced annual DALYs by 43% (46–23% in material substitution ratio sensitivity analyses) in 2040, but still indicated rising global health burdens over time. Reducing primary plastics production, without material substitution, was the most effective single lever for reducing emissions and alleviating associated health burdens.</div></div><div><h3>Interpretation</h3><div>Adverse health effects are associated with emissions throughout plastics lifecycles, particularly from production, though the non-disclosure of plastics chemical composition is severely limiting LCA capacity to inform effective policy. Deep reductions in primary production are needed in leading plastics transition roadmaps, with assessments that account for plastics’ functions across sectors, including exposure and health impacts from plastics’ use, from chemicals, microplastics, and nanoplastics, facilitated by mandatory transparency and reporting. Globally coordinated policy that addresses these upstream impacts through a full lifecycle approach is crucial to protecting human health.</div></div><div><h3>Funding</h3><div>Innovative Methods and Metrics f","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 1","pages":"Article 101406"},"PeriodicalIF":21.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087616","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}
Pub Date : 2026-01-01DOI: 10.1016/j.lanplh.2025.101398
Prof Hardeep Singh MD MPH , Ulli Weisz Dr Phil (Dr) , Thomas Andrew , Iris Martine Blom MD PhD , Suthirat Kittipongvises PhD , Keisuke Nansai PhD , Sarah Ouanhnon , Fawzia Rasheed PhD , Susanne Waaijers-van der Loop PhD , Jessica C Yu PhD , Andrea J MacNeill MD , Jodi D Sherman MD , Prof Matthew J Eckelman PhD
As health-care systems and organisations worldwide transition to sustainable health care, reliable guidance and standardised approaches are needed to monitor and report progress. A robust measurement framework can inform the development of indicators to track progress, compare performance, guide interventions, and reduce the risk of greenwashing. The Lancet Commission on Sustainable Health Care convened a working group to develop a measurement framework to support data-driven and evidence-based indicators in comprehensively assessing health-care system performance across environmental and health outcomes dimensions. The working group included representatives from several disciplines, such as environmental engineering, industrial and social ecology, health promotion theory, environmental chemistry, sustainability, health-care quality and safety, clinical care, epidemiology, and public policy, and diverse geographical settings. The measurement framework developed by the Lancet Commission on Sustainable Health Care integrates concepts from previous frameworks and approaches and encompasses sustainability concepts across two domains: the physical domain (contributing directly and indirectly to resource use, operational resilience, emissions, and environmental impacts) and the people, policies, and programmes domain (contextual characteristics surrounding operations in nations and organisations). Each domain is divided into five categories: inputs, structures, processes, outputs, and outcomes or effects, including health effects. In this Personal View, we describe the conceptual development of this measurement framework; the indicators for performance measurement by health-care organisations and countries will be presented in companion papers. The framework aims to address all three aspects of performance measurement—namely, research, improvement of health-care system performance, and accountability to external entities. The proposed measurement framework can guide the development and implementation of indicators for health-care system benchmarking and monitoring, aiming to accelerate the global advancement of sustainability-related health-care performance by adopting evidence-based policies and practices.
{"title":"The Lancet Commission on Sustainable Health Care measurement framework for advancing sustainable health care transformation","authors":"Prof Hardeep Singh MD MPH , Ulli Weisz Dr Phil (Dr) , Thomas Andrew , Iris Martine Blom MD PhD , Suthirat Kittipongvises PhD , Keisuke Nansai PhD , Sarah Ouanhnon , Fawzia Rasheed PhD , Susanne Waaijers-van der Loop PhD , Jessica C Yu PhD , Andrea J MacNeill MD , Jodi D Sherman MD , Prof Matthew J Eckelman PhD","doi":"10.1016/j.lanplh.2025.101398","DOIUrl":"10.1016/j.lanplh.2025.101398","url":null,"abstract":"<div><div>As health-care systems and organisations worldwide transition to sustainable health care, reliable guidance and standardised approaches are needed to monitor and report progress. A robust measurement framework can inform the development of indicators to track progress, compare performance, guide interventions, and reduce the risk of greenwashing. The <em>Lancet</em> Commission on Sustainable Health Care convened a working group to develop a measurement framework to support data-driven and evidence-based indicators in comprehensively assessing health-care system performance across environmental and health outcomes dimensions. The working group included representatives from several disciplines, such as environmental engineering, industrial and social ecology, health promotion theory, environmental chemistry, sustainability, health-care quality and safety, clinical care, epidemiology, and public policy, and diverse geographical settings. The measurement framework developed by the <em>Lancet</em> Commission on Sustainable Health Care integrates concepts from previous frameworks and approaches and encompasses sustainability concepts across two domains: the physical domain (contributing directly and indirectly to resource use, operational resilience, emissions, and environmental impacts) and the people, policies, and programmes domain (contextual characteristics surrounding operations in nations and organisations). Each domain is divided into five categories: inputs, structures, processes, outputs, and outcomes or effects, including health effects. In this Personal View, we describe the conceptual development of this measurement framework; the indicators for performance measurement by health-care organisations and countries will be presented in companion papers. The framework aims to address all three aspects of performance measurement—namely, research, improvement of health-care system performance, and accountability to external entities. The proposed measurement framework can guide the development and implementation of indicators for health-care system benchmarking and monitoring, aiming to accelerate the global advancement of sustainability-related health-care performance by adopting evidence-based policies and practices.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 1","pages":"Article 101398"},"PeriodicalIF":21.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145758033","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}
Pub Date : 2026-01-01DOI: 10.1016/j.lanplh.2025.101404
Kelly Thornber PhD , Matthew Bentham MA , Sharon Pfleger MPH , Claas Kirchhelle PhD , Fiona Adshead MSc , Stewart Owen PhD , Hayden Holmes PGDip , A Ross Brown PhD , Caroline Farmer PhD , Min Na Eii MPharm , Lydia Niemi PhD , Lara Wöhler PhD , Prof Edward C F Wilson PhD , Matthew J Wade PhD , Wendy Tyler-Batt BSc , Prof Matthew Taylor PhD , Georgina Sowman MBBS , Paul Southall MBChB , Prof Richard Smith PhD , Prof Carol Routledge PhD , Prof Charles R Tyler PhD
Human pharmaceuticals are increasingly detected in environments around the world, with growing international calls to mitigate the ecological and human health risks posed by these novel entities. Exposure to pharmaceutical pollutants can negatively affect the behaviour, reproduction, and health of wildlife, contributing towards declining ecological health and global biodiversity loss. Pharmaceuticals in the environment are also driving rising levels of antimicrobial resistance, a major public health threat. Developing strategies to mitigate these public and environmental health risks has been greatly limited by diverse and often conflicting stakeholder interests and the need to retain the major human health and socioeconomic benefits that pharmaceuticals provide. In this Personal View, we propose a multistakeholder, systems-based approach for high-income countries to develop transformational national mitigation strategies. Applying this approach to a UK case study highlighted the growing risks caused by the unsustainability of the current UK health-care pharmaceutical system and enabled us to identify 37 synergistic intervention points that target both the tangible easy wins and the deep-rooted social drivers of the issue. We believe our approach will support high-income countries in minimising the public and environmental health risks associated with pharmaceutical pollution, by driving long-term sustainability across the pharmaceutical lifecycle, for a positive pharmaceutical future.
{"title":"Pharmaceutical pollution from health care: a systems-based strategy for mitigating risks to public and environmental health","authors":"Kelly Thornber PhD , Matthew Bentham MA , Sharon Pfleger MPH , Claas Kirchhelle PhD , Fiona Adshead MSc , Stewart Owen PhD , Hayden Holmes PGDip , A Ross Brown PhD , Caroline Farmer PhD , Min Na Eii MPharm , Lydia Niemi PhD , Lara Wöhler PhD , Prof Edward C F Wilson PhD , Matthew J Wade PhD , Wendy Tyler-Batt BSc , Prof Matthew Taylor PhD , Georgina Sowman MBBS , Paul Southall MBChB , Prof Richard Smith PhD , Prof Carol Routledge PhD , Prof Charles R Tyler PhD","doi":"10.1016/j.lanplh.2025.101404","DOIUrl":"10.1016/j.lanplh.2025.101404","url":null,"abstract":"<div><div>Human pharmaceuticals are increasingly detected in environments around the world, with growing international calls to mitigate the ecological and human health risks posed by these novel entities. Exposure to pharmaceutical pollutants can negatively affect the behaviour, reproduction, and health of wildlife, contributing towards declining ecological health and global biodiversity loss. Pharmaceuticals in the environment are also driving rising levels of antimicrobial resistance, a major public health threat. Developing strategies to mitigate these public and environmental health risks has been greatly limited by diverse and often conflicting stakeholder interests and the need to retain the major human health and socioeconomic benefits that pharmaceuticals provide. In this Personal View, we propose a multistakeholder, systems-based approach for high-income countries to develop transformational national mitigation strategies. Applying this approach to a UK case study highlighted the growing risks caused by the unsustainability of the current UK health-care pharmaceutical system and enabled us to identify 37 synergistic intervention points that target both the tangible easy wins and the deep-rooted social drivers of the issue. We believe our approach will support high-income countries in minimising the public and environmental health risks associated with pharmaceutical pollution, by driving long-term sustainability across the pharmaceutical lifecycle, for a positive pharmaceutical future.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 1","pages":"Article 101404"},"PeriodicalIF":21.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146031231","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}
Pub Date : 2026-01-01DOI: 10.1016/j.lanplh.2025.101413
Daniel B Ibsen , Christina C Dahm , Michael Fridén
{"title":"(Mis)interpreting substitution models in nutritional epidemiology: why the effect of NOVA 1 foods cannot be understood without NOVA 4","authors":"Daniel B Ibsen , Christina C Dahm , Michael Fridén","doi":"10.1016/j.lanplh.2025.101413","DOIUrl":"10.1016/j.lanplh.2025.101413","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 1","pages":"Article 101413"},"PeriodicalIF":21.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794840","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}
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