Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment
Background: In the era characterized by global environmental and climatic changes, understanding the effects of PM2.5 components and heatwaves on schizophrenia (SCZ) is essential for implementing environmental interventions at the population level. However, research in this area remains limited, whi...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
|
| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651324000484 |
| _version_ | 1797328838255968256 |
|---|---|
| author | Rubing Pan Jian Song Weizhuo Yi Jintao Liu Rong Song Xuanxuan Li Li Liu Jiajun Yuan Ning Wei Jian Cheng Yuee Huang Xulai Zhang Hong Su |
| author_facet | Rubing Pan Jian Song Weizhuo Yi Jintao Liu Rong Song Xuanxuan Li Li Liu Jiajun Yuan Ning Wei Jian Cheng Yuee Huang Xulai Zhang Hong Su |
| author_sort | Rubing Pan |
| collection | DOAJ |
| description | Background: In the era characterized by global environmental and climatic changes, understanding the effects of PM2.5 components and heatwaves on schizophrenia (SCZ) is essential for implementing environmental interventions at the population level. However, research in this area remains limited, which highlights the need for further research and effort. We aim to assess the association between exposure to PM2.5 components and hospitalizations for SCZ under different heatwave characteristics. Methods: We conducted a 16 municipalities-wide, individual exposure-based, time-stratified, case-crossover study from January 1, 2017, to December 31, 2020, encompassing 160736 hospitalizations in Anhui Province, China. Daily concentrations of PM2.5 components were obtained from the Tracking Air Pollution in China dataset. Conditional logistic regression models were used to investigate the association between PM2.5 components and hospitalizations. Additionally, restricted cubic spline models were used to identify protective thresholds of residential environment in response to environmental and climate change. Results: Our findings indicate a positive correlation between PM2.5 and its components and hospitalizations. Significantly, a 1 μg/m3 increase in black carbon (BC) was associated with the highest risk, at 1.58% (95%CI: 0.95–2.25). Exposure to heatwaves synergistically enhanced the impact of PM2.5 components on hospitalization risks, and the interaction varied with the intensity and duration of heatwaves. Under the 99th percentile heatwave events, the impact of PM2.5 and its components on hospitalizations was most pronounced, which were PM2.5 (2–4d: 4.59%, 5.09%, and 5.09%), sulfate (2–4d: 21.73%, 23.23%, and 25.25%), nitrate (2–4d: 17.51%, 16.93%, and 20.31%), ammonium (2–4d: 27.49%, 31.03%, and 32.41%), organic matter (2–4d: 32.07%, 25.42%, and 24.48%), and BC (2–4d: 259.36%, 288.21%, and 152.52%), respectively. Encouragingly, a protective effect was observed when green and blue spaces comprised more than 17.6% of the residential environment. Discussion: PM2.5 components and heatwave exposure were positively associated with an increased risk of hospitalizations, although green and blue spaces provided a mitigating effect. |
| first_indexed | 2024-03-08T06:56:43Z |
| format | Article |
| id | doaj.art-38fc14b2e1514032bab6982563051246 |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-03-08T06:56:43Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-38fc14b2e1514032bab69825630512462024-02-03T06:34:29ZengElsevierEcotoxicology and Environmental Safety0147-65132024-02-01271115973Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environmentRubing Pan0Jian Song1Weizhuo Yi2Jintao Liu3Rong Song4Xuanxuan Li5Li Liu6Jiajun Yuan7Ning Wei8Jian Cheng9Yuee Huang10Xulai Zhang11Hong Su12Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, 241002 Wuhu, Anhui, ChinaAnhui Mental Health Center (Affiliated Psychological Hospital of Anhui Medical University), Hefei, Anhui, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China; Corresponding author at: Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.Background: In the era characterized by global environmental and climatic changes, understanding the effects of PM2.5 components and heatwaves on schizophrenia (SCZ) is essential for implementing environmental interventions at the population level. However, research in this area remains limited, which highlights the need for further research and effort. We aim to assess the association between exposure to PM2.5 components and hospitalizations for SCZ under different heatwave characteristics. Methods: We conducted a 16 municipalities-wide, individual exposure-based, time-stratified, case-crossover study from January 1, 2017, to December 31, 2020, encompassing 160736 hospitalizations in Anhui Province, China. Daily concentrations of PM2.5 components were obtained from the Tracking Air Pollution in China dataset. Conditional logistic regression models were used to investigate the association between PM2.5 components and hospitalizations. Additionally, restricted cubic spline models were used to identify protective thresholds of residential environment in response to environmental and climate change. Results: Our findings indicate a positive correlation between PM2.5 and its components and hospitalizations. Significantly, a 1 μg/m3 increase in black carbon (BC) was associated with the highest risk, at 1.58% (95%CI: 0.95–2.25). Exposure to heatwaves synergistically enhanced the impact of PM2.5 components on hospitalization risks, and the interaction varied with the intensity and duration of heatwaves. Under the 99th percentile heatwave events, the impact of PM2.5 and its components on hospitalizations was most pronounced, which were PM2.5 (2–4d: 4.59%, 5.09%, and 5.09%), sulfate (2–4d: 21.73%, 23.23%, and 25.25%), nitrate (2–4d: 17.51%, 16.93%, and 20.31%), ammonium (2–4d: 27.49%, 31.03%, and 32.41%), organic matter (2–4d: 32.07%, 25.42%, and 24.48%), and BC (2–4d: 259.36%, 288.21%, and 152.52%), respectively. Encouragingly, a protective effect was observed when green and blue spaces comprised more than 17.6% of the residential environment. Discussion: PM2.5 components and heatwave exposure were positively associated with an increased risk of hospitalizations, although green and blue spaces provided a mitigating effect.http://www.sciencedirect.com/science/article/pii/S0147651324000484SchizophreniaPM2.5 ComponentsBuilt environmentHeatwave |
| spellingShingle | Rubing Pan Jian Song Weizhuo Yi Jintao Liu Rong Song Xuanxuan Li Li Liu Jiajun Yuan Ning Wei Jian Cheng Yuee Huang Xulai Zhang Hong Su Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment Ecotoxicology and Environmental Safety Schizophrenia PM2.5 Components Built environment Heatwave |
| title | Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment |
| title_full | Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment |
| title_fullStr | Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment |
| title_full_unstemmed | Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment |
| title_short | Heatwave characteristics complicate the association between PM2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment |
| title_sort | heatwave characteristics complicate the association between pm2 5 components and schizophrenia hospitalizations in a changing climate leveraging of the individual residential environment |
| topic | Schizophrenia PM2.5 Components Built environment Heatwave |
| url | http://www.sciencedirect.com/science/article/pii/S0147651324000484 |
| work_keys_str_mv | AT rubingpan heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT jiansong heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT weizhuoyi heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT jintaoliu heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT rongsong heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT xuanxuanli heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT liliu heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT jiajunyuan heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT ningwei heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT jiancheng heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT yueehuang heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT xulaizhang heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment AT hongsu heatwavecharacteristicscomplicatetheassociationbetweenpm25componentsandschizophreniahospitalizationsinachangingclimateleveragingoftheindividualresidentialenvironment |