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Peter D Sly

Biographic Data

ID3455861
NAMEPeter D Sly
GIVEN NAMESPeter D
FAMILY NAMESly
SIGNATURESLY P D
AFFILIATIONSThe University of Queensland
ORCID0000-0001-6305-2201
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS16
AUTHOR COUNT12
EDITOR COUNT0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Associations between household characteristics and environmentally persistent free radicals in house dust from two Australian locations

    Open Access•Wen Ray Lee, Prakash Dangal et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction: The association between air pollution and adverse health outcomes has been extensively documented, with oxidative stress widely considered a contributing factor. However, the precise underlying mechanism(s) remains unclear. Recent studies suggest that environmentally persistent free radicals (EPFRs) may provide the missing connection between air pollution and its detrimental health effects. Nevertheless, the indoor environment has r…

  • Association of Maternal Air Pollution Exposure and Infant Lung Function Is Modified by Genetic Propensity to Oxidative Stress

    Open Access•Dwan Vilcins, Wen Ray Lee et al.•ARTICLE•Children•2024

    High prenatal exposure to ambient NO 2 is associated with a lower FRC and a higher LCI score in infants with a genetic propensity to oxidative stress. There was no relationship between maternal exposure to air pollution with maternal and cord blood inflammation or OS biomarkers

  • Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia

    Open Access•Javier Cortes-Ramirez, Michelle L Gatton et al.•ARTICLE•BMC Public Health•2023

    Sociodemographic factors and their spatial patterns are determinants of acute respiratory infections in Cúcuta. Bayesian spatial hierarchical models can be used to estimate and map the risk of these infections in suburban areas of large cities in Colombia. The methods of this study can be used globally to identify suburban areas and or specific communities at risk to support the implementation of prevention strategies and decision-making in the p…

  • Mapping the Morbidity Risk Associated with Coal Mining in Queensland, Australia

    Open Access•Javier Cortes-Ramirez, Darren Wraith et al.•ARTICLE•International Journal of…•2022

    The populations in the vicinity of surface coal mining activities have a higher risk of morbidity due to diseases, such as cardiovascular, respiratory and hypertensive diseases, as well as cancer and diabetes mellitus. Despite the large and historical volume of coal production in Queensland, the main Australian coal mining state, there is little research on the association of coal mining exposures with morbidity in non-occupational populations in…

  • The Association of Ambient Temperature with Extremely Preterm Births

    Open Access•Dwan Vilcins, Peter Baker et al.•ARTICLE•Maternal and Child Health Journal•2021

  • A future for the world's children? A WHO–Unicef–Lancet Commission

    Open Access•Helen Clark, Awa Marie Coll-Seck et al.•ARTICLE•The Lancet•2020

    Despite dramatic improvements in survival, nutrition, and education over recent decades, today's children face an uncertain future. Climate change, ecological degradation, migrating populations, conflict, pervasive inequalities, and predatory commercial practices threaten the health and future of children in every country. In 2015, the world's countries agreed on the Sustainable Development Goals (SDGs), yet nearly 5 years later, few countries ha…

  • The Lancet Commission on pollution and health

    Open Access•Philip J Landrigan, Richard Fuller et al.•ARTICLE•The Lancet•2018

  • Children’s Environmental Health Indicators in Context of the Sustainable Development Goals for Small Island Developing States

    Open Access•Eun Mi Jung, Paul Jagals et al.•ARTICLE•International Journal of…•2018

    The unique environmental vulnerability of small island developing states (SIDS) is likely to impact negatively on children's health. Children's environmental health indicators (CEHI) are standardized measures that can be used to assess the environmental exposures and their resulting health outcomes in children. This study sought to utilize the United Nations (UN) global Sustainable Development Goals (SDGs), with their associated targets and indic…

  • Consequences of bullying victimization in childhood and adolescence

    Open Access•Sophie E Moore, Rosana E Norman et al.•ARTICLE•World Journal of Psychiatry•2017

  • Indigenous health and environmental risk factors

    Open Access•Luke D Knibbs, Peter D Sly•ARTICLE•Global Health Action•2014

    Indigenous people experience poorer health than non-Indigenous people, and this well-described inequality has been observed in many countries. The contribution of different risk factors to the health 'gap' has understandably focussed on those factors for which there are sufficient data. However, this has precluded environmental risk factors - those present in air, water, food, and soil - due to a lack of data describing exposures and outcomes. Th…

  • Association Between Socioeconomic Status and the Development of Asthma

    Anita L Kozyrskyj, Garth E Kendall et al.•ARTICLE•American Journal of Public Health•2010•Cited by: 13•References: 43

    Objectives. Using data on 2868 children born in the Western Australian Pregnancy Cohort (Raine) Study, we examined the association between changes in family socioeconomic status and childhood asthma. Methods. We determined the likelihood (odds ratio) of a child having asthma at ages 6 and 14 years for 4 family-income trajectories (chronic low, increasing, decreasing, and never low) over the child's lifetime. The trajectories were created from lon…

  • The Relation of Breastfeeding and Body Mass Index to Asthma and Atopy in Children

    Wendy H Oddy, Jill L Sherriff et al.•ARTICLE•American Journal of Public Health•2004•Cited by: 3•References: 41

    Objectives. We investigated the relationship between breastfeeding, asthma and atopy, and child body mass index (BMI). Methods. From a prospective birth cohort (n = 2860) in Perth, Western Australia, 2195 children were followed up to age 6 years. Asthma was defined as doctor-diagnosed asthma and wheeze in the last year, and atopy was determined by skin prick test of 1596 children. Breastfeeding, BMI, asthma, and atopy were regressed allowing for …

  • Association Between Socioeconomic Status and the Development of Asthma

    Anita L Kozyrskyj, Garth E Kendall et al.•ARTICLE•American Journal of Public Health•2010•Cited by: 13•References: 43

    Objectives. Using data on 2868 children born in the Western Australian Pregnancy Cohort (Raine) Study, we examined the association between changes in family socioeconomic status and childhood asthma. Methods. We determined the likelihood (odds ratio) of a child having asthma at ages 6 and 14 years for 4 family-income trajectories (chronic low, increasing, decreasing, and never low) over the child's lifetime. The trajectories were created from lon…

  • The Relation of Breastfeeding and Body Mass Index to Asthma and Atopy in Children

    Wendy H Oddy, Jill L Sherriff et al.•ARTICLE•American Journal of Public Health•2004•Cited by: 3•References: 41

    Objectives. We investigated the relationship between breastfeeding, asthma and atopy, and child body mass index (BMI). Methods. From a prospective birth cohort (n = 2860) in Perth, Western Australia, 2195 children were followed up to age 6 years. Asthma was defined as doctor-diagnosed asthma and wheeze in the last year, and atopy was determined by skin prick test of 1596 children. Breastfeeding, BMI, asthma, and atopy were regressed allowing for …

  • The Relation of Breastfeeding and Body Mass Index to Asthma and Atopy in Children

    Wendy H Oddy, Jill L Sherriff et al.•ARTICLE•American Journal of Public Health•2004•Cited by: 3•References: 41

    Objectives. We investigated the relationship between breastfeeding, asthma and atopy, and child body mass index (BMI). Methods. From a prospective birth cohort (n = 2860) in Perth, Western Australia, 2195 children were followed up to age 6 years. Asthma was defined as doctor-diagnosed asthma and wheeze in the last year, and atopy was determined by skin prick test of 1596 children. Breastfeeding, BMI, asthma, and atopy were regressed allowing for …

  • Association Between Socioeconomic Status and the Development of Asthma

    Anita L Kozyrskyj, Garth E Kendall et al.•ARTICLE•American Journal of Public Health•2010•Cited by: 13•References: 43

    Objectives. Using data on 2868 children born in the Western Australian Pregnancy Cohort (Raine) Study, we examined the association between changes in family socioeconomic status and childhood asthma. Methods. We determined the likelihood (odds ratio) of a child having asthma at ages 6 and 14 years for 4 family-income trajectories (chronic low, increasing, decreasing, and never low) over the child's lifetime. The trajectories were created from lon…

  • Indigenous health and environmental risk factors

    Open Access•Luke D Knibbs, Peter D Sly•ARTICLE•Global Health Action•2014

    Indigenous people experience poorer health than non-Indigenous people, and this well-described inequality has been observed in many countries. The contribution of different risk factors to the health 'gap' has understandably focussed on those factors for which there are sufficient data. However, this has precluded environmental risk factors - those present in air, water, food, and soil - due to a lack of data describing exposures and outcomes. Th…

  • Consequences of bullying victimization in childhood and adolescence

    Open Access•Sophie E Moore, Rosana E Norman et al.•ARTICLE•World Journal of Psychiatry•2017

  • The Lancet Commission on pollution and health

    Open Access•Philip J Landrigan, Richard Fuller et al.•ARTICLE•The Lancet•2018

  • Children’s Environmental Health Indicators in Context of the Sustainable Development Goals for Small Island Developing States

    Open Access•Eun Mi Jung, Paul Jagals et al.•ARTICLE•International Journal of…•2018

    The unique environmental vulnerability of small island developing states (SIDS) is likely to impact negatively on children's health. Children's environmental health indicators (CEHI) are standardized measures that can be used to assess the environmental exposures and their resulting health outcomes in children. This study sought to utilize the United Nations (UN) global Sustainable Development Goals (SDGs), with their associated targets and indic…

  • A future for the world's children? A WHO–Unicef–Lancet Commission

    Open Access•Helen Clark, Awa Marie Coll-Seck et al.•ARTICLE•The Lancet•2020

    Despite dramatic improvements in survival, nutrition, and education over recent decades, today's children face an uncertain future. Climate change, ecological degradation, migrating populations, conflict, pervasive inequalities, and predatory commercial practices threaten the health and future of children in every country. In 2015, the world's countries agreed on the Sustainable Development Goals (SDGs), yet nearly 5 years later, few countries ha…

  • The Association of Ambient Temperature with Extremely Preterm Births

    Open Access•Dwan Vilcins, Peter Baker et al.•ARTICLE•Maternal and Child Health Journal•2021

  • Mapping the Morbidity Risk Associated with Coal Mining in Queensland, Australia

    Open Access•Javier Cortes-Ramirez, Darren Wraith et al.•ARTICLE•International Journal of…•2022

    The populations in the vicinity of surface coal mining activities have a higher risk of morbidity due to diseases, such as cardiovascular, respiratory and hypertensive diseases, as well as cancer and diabetes mellitus. Despite the large and historical volume of coal production in Queensland, the main Australian coal mining state, there is little research on the association of coal mining exposures with morbidity in non-occupational populations in…

  • Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia

    Open Access•Javier Cortes-Ramirez, Michelle L Gatton et al.•ARTICLE•BMC Public Health•2023

    Sociodemographic factors and their spatial patterns are determinants of acute respiratory infections in Cúcuta. Bayesian spatial hierarchical models can be used to estimate and map the risk of these infections in suburban areas of large cities in Colombia. The methods of this study can be used globally to identify suburban areas and or specific communities at risk to support the implementation of prevention strategies and decision-making in the p…

  • Association of Maternal Air Pollution Exposure and Infant Lung Function Is Modified by Genetic Propensity to Oxidative Stress

    Open Access•Dwan Vilcins, Wen Ray Lee et al.•ARTICLE•Children•2024

    High prenatal exposure to ambient NO 2 is associated with a lower FRC and a higher LCI score in infants with a genetic propensity to oxidative stress. There was no relationship between maternal exposure to air pollution with maternal and cord blood inflammation or OS biomarkers

  • Associations between household characteristics and environmentally persistent free radicals in house dust from two Australian locations

    Open Access•Wen Ray Lee, Prakash Dangal et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction: The association between air pollution and adverse health outcomes has been extensively documented, with oxidative stress widely considered a contributing factor. However, the precise underlying mechanism(s) remains unclear. Recent studies suggest that environmentally persistent free radicals (EPFRs) may provide the missing connection between air pollution and its detrimental health effects. Nevertheless, the indoor environment has r…

Medicine (10 works) · Environmental health (8 works) · Geography (4 works) · Air Quality and Health Impacts (3 works) · Climate Change and Health Impacts (3 works) · Internal Medicine (3 works) · Population (3 works) · Asthma (2 works) · Asthma and respiratory diseases (2 works) · Biology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae