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Ghaffari HR, Aval HE, Alahabadi A, Mokammel A, Khamirchi R, Yousefzadeh S, Ahmadi E, Rahmani-Sani A, Estaji M, Ghanbarnejad A, Gholizadeh A, Taghavi M, Miri M. Asthma disease as cause of admission to hospitals due to exposure to ambient oxidants in Mashhad, Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:27402-27408. [PMID: 28975536 DOI: 10.1007/s11356-017-0226-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 09/13/2017] [Indexed: 05/21/2023]
Abstract
Nowadays, asthma is one of the most common chronic respiratory diseases, worldwide. Many reports have emphasized the correlation between the short-term exposure to the ambient air pollutants and acute respiratory diseases, especially among children with asthmatic symptoms. The aim of this study was to evaluate the relationship between the exposure to three atmospheric antioxidants (NO2, SO2, and O3) and hospital admission due to asthmatic disease (HAAD) in the city of Mashhad, Iran. The concentrations of atmospheric antioxidants were obtained from the real-time monitoring stations located in the city. The collected data were employed for developing predictive models in the AirQ software. In order to investigate the association between short-term exposure to air pollutants and HAAD, the study participants were categorized into two age groups: less than 15 and from 15 to 64 years old. The results indicated that in people less than 15 years increase in NO2 (attributable proportion (AP) = 3.775%, 95% CI 0.897-6.883%), SO2 (AP = 3.649%, 95% CI 1.295-5.937%), and O3 (AP = 0.554%,95% CI 0.00-3.321) results in increase in HAAD. While for those aged between 15 and 64 years, the AP was 4.192% (95% CI 0.450-7.662%) for NO2; 0.0% (95% CI 0.00-1.687%) for SO2; and 0.236% (95% CI 0.00-1.216%) for O3. The number of asthmatic cases who were less than 15 years admitted to the hospitals during the study period was higher than that of those within the age groups between 15 and 64 years as a consequence of exposure to NO2 (101 vs. 75), SO2 (98 vs. 0), and O3 (15 vs. 3), respectively. To the best of our knowledge, the AirQ model has not been applied before to estimate the effect of atmospheric antioxidant exposure on hospital admission because of asthma disease. Eventually, this model is proposed to be applicable for other cities around the world.
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Affiliation(s)
- Hamid Reza Ghaffari
- Department of Environmental Health Engineering, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamideh Ebrahimi Aval
- Department of Environmental Health, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran
| | - Ahmad Alahabadi
- Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Adel Mokammel
- Department of Environmental Health, School of Public Health, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Ramzanali Khamirchi
- Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Samira Yousefzadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran
| | - Ehsan Ahmadi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Abolfazl Rahmani-Sani
- Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Mehdi Estaji
- Department of Environmental Health Engineering, School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Amin Ghanbarnejad
- Department of Epidemiology and Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdolmajid Gholizadeh
- Department of Environmental Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mahmoud Taghavi
- Department of Environmental Health, School of Public Health, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mohammad Miri
- Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
- Department of Environmental Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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52
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Jung CR, Young LH, Hsu HT, Lin MY, Chen YC, Hwang BF, Tsai PJ. PM 2.5 components and outpatient visits for asthma: A time-stratified case-crossover study in a suburban area. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 231:1085-1092. [PMID: 28922715 DOI: 10.1016/j.envpol.2017.08.102] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 08/29/2017] [Accepted: 08/29/2017] [Indexed: 05/04/2023]
Abstract
The effects of fine particles (PM2.5) on asthma have been widely confirmed by epidemiological research studies. However, a limited number of studies have investigated the relationship between exposure to different PM2.5 components and asthma. We characterized the PM2.5 components in a suburban site of central Taiwan and conducted a time-stratified case-crossover study to elaborate the effects of daily concentration of each PM2.5 component on asthma outpatient visits. We retrieved asthma outpatient claims for individuals less than 20 years old with a residential address in the Shalu district, Taiwan, from the National Health Insurance Research Database during 2000-2010. Multiple linear regression models were used to back extrapolate the historic concentration of individual components of PM2.5 from 2000 through to 2010, including black carbon (BC) and eight ions, namely, sulfate, nitrate (NO3-), ammonium, chloride, potassium (K+), magnesium, calcium, sodium. The odds ratio (OR) with a 95% confidence interval (CI) of individual PM2.5 components on asthma was estimated by conditional logistic regression. A total of 887 asthma outpatient visits with individuals who have an average age of 7.96±3.88 years were selected. After adjusting for confounders, we found an interquartile range (IQR) increase in BC level, an IQR increase in NO3- level, and an IQR increase in K+ level that were all associated with the increased risk of asthma outpatient visits from the current day (OR = 1.18, 95% CI: 1.05-1.34; OR = 1.11, 95% CI: 1.01-1.21; and OR = 1.16, 95% CI: 1.04-1.30, respectively). The effects of these components on asthma were stronger in the cold season than in the warm season. However, we did not find any lagging effects. The results suggest that exposure to NO3-, BC, and K+ derived from industry-related combustion or motor vehicles emission sources may increase the risk of asthma outpatient visits, particularly during the cold season.
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Affiliation(s)
- Chau-Ren Jung
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taiwan
| | - Li-Hao Young
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taiwan
| | - Hui-Tsung Hsu
- Department of Health Risk Management, College of Public Health, China Medical University, Taiwan
| | - Ming-Yeng Lin
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Taiwan
| | - Yu-Cheng Chen
- National Institute of Environmental Health Sciences, National Health Research Institutes, Taiwan
| | - Bing-Fang Hwang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taiwan.
| | - Perng-Jy Tsai
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Taiwan.
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53
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Roberts G, Boyle R, Crane J, Hogan SP, Saglani S, Wickman M, Woodfolk JA. Developments in the field of allergy in 2016 through the eyes of Clinical and Experimental Allergy. Clin Exp Allergy 2017; 47:1512-1525. [PMID: 29068551 DOI: 10.1111/cea.13049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In this article, we described the development in the field of allergy as described by Clinical and Experimental Allergy in 2016. Experimental models of allergic disease, basic mechanisms, clinical mechanisms, allergens, asthma and rhinitis, and clinical allergy are all covered.
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Affiliation(s)
- G Roberts
- Clinical and Experimental Sciences and Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Respiratory Biomedical Research Unit, University Hospital Southampton NHS Foundation Trust, Southampton, UK.,The David Hide Asthma and Allergy Research Centre, St Mary's Hospital, Isle of Wight, UK
| | - R Boyle
- Department of Paediatrics, Imperial College London, London, UK
| | - J Crane
- Department of Medicine, University of Otago Wellington, Wellington, New Zealand
| | - S P Hogan
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - S Saglani
- National Heart & Lung Institute, Imperial College London, London, UK
| | - M Wickman
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - J A Woodfolk
- Division of Asthma, Allergy and Immunology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
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Lambert KA, Bowatte G, Tham R, Lodge C, Prendergast L, Heinrich J, Abramson MJ, Dharmage SC, Erbas B. Residential greenness and allergic respiratory diseases in children and adolescents - A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2017; 159:212-221. [PMID: 28803150 DOI: 10.1016/j.envres.2017.08.002] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 08/02/2017] [Accepted: 08/02/2017] [Indexed: 05/25/2023]
Abstract
BACKGROUND The aetiology of allergic respiratory disease in children is not yet fully understood. Environmental factors are believed to play a major part. The amount of green vegetation surrounding the home (residential greenness) has been recently identified as a potentially important exposure OBJECTIVES: Our goal was to provide a systematic review and quantitative summary of the evidence regarding the relationship between residential greenness and allergic respiratory diseases in children. METHODS Peer-reviewed literature published prior to 1 March 2017 was systematically searched using nine electronic databases. Meta-analyses were conducted if at least three studies published risk estimates for the same outcome and exposure measures. RESULTS We included 11 articles across broad outcomes of asthma and allergic rhinitis. Reported effects were inconsistent with varying measures to define residential greenness. Only limited meta-analysis could be conducted, with the pooled odds ratios for asthma (OR 1.01 95%CI 0.93, 1.09; I2 68.1%) and allergic rhinitis (OR 0.99 95%CI 0.87, 1.12; I2 72.9%) being significantly heterogeneous. CONCLUSIONS Inconsistencies between the studies were too large to accurately assess the association between residential greenness and allergic respiratory disease. A standardised global measure of greenness which accounts for seasonal variation at a specific relevant buffer size is needed to create a more cohesive body of evidence and for future examination of the effect of residential greenness on allergic respiratory diseases.
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Affiliation(s)
- K A Lambert
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - G Bowatte
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - R Tham
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - C Lodge
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - L Prendergast
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia
| | - J Heinrich
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Clinical Center, Ludwig Maximilians University, Comprehensive Pneumology Centre Munich, German Centre for Lung Research, Munich, Germany
| | - M J Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
| | - S C Dharmage
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - B Erbas
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia.
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55
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Terry D, Robins S, Gardiner S, Wyett R, Islam MR. Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians. BMC Public Health 2017; 17:723. [PMID: 28923037 PMCID: PMC5604153 DOI: 10.1186/s12889-017-4704-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 09/04/2017] [Indexed: 01/01/2023] Open
Abstract
Background Asthma remains a leading cause of illness, where primary care can assist to reduce hospitalisations through prevention, controlling acute episodes, and overall management of asthma. In Victoria, Asthma hospitalisations were as high as 3.1 hospitalisations per 1000 population in 1993–94. The primary aims of this study are to: determine if changes in asthma hospitalisations have occurred between 2010 and 2015; determine the key factors that impact asthma hospitalisation over time; and verify whether rural and urban asthma hospitalisations are disparate. A secondary aim of the study is to compare 2010–2015 results with asthma data prior to 2010. Methods Hospital separation data from 1 July 2010 to 30 June 2015 were obtained through the Victorian Admitted Episodes Dataset and other agencies. Data included sex, age, Local Government Area, private or public patient, length of stay, and type of discharge. Asthma and predictor variables were analysed according to hospital separation rates after adjusting for smoking and sex. Hierarchical multiple regression examined the association between asthma and predictor variables. Results During the study period, 49,529 asthma hospital separations occurred, of which 77.5% were in metropolitan hospitals, 55.4% hospital separations were aged 0–14 years, and 21.7% were privately funded. State-wide hospital separations were 1.85 per 1000 population and were consistently higher in metropolitan compared to rural areas (1.93 vs 1.64 per 1000 population). When data among metropolitan adults aged 15 and over were analysed, an increase in the proportion of smokers in the population was reflected by an increase in the number of hospital separations (Adj OR 1.035). Further, among rural and metropolitan children aged 0–14 the only predictor of asthma hospital separations was sex, where metropolitan male children had higher odds of separation than metropolitan females of the same age (Adj OR 4.297). There was no statistically meaningful difference for separation rates between males and females in rural areas. Conclusions We demonstrated a higher overall hospital separation rate in metropolitan Victoria. For children in metropolitan areas, males were hospitalised at higher rates than females, while the inverse was demonstrated for children residing in rural areas. Therefore, optimising asthma management requires consideration of the patient’s age, gender and residential context. Primary health care may play a leading role in increasing health literacy for patients in order to improve self-management and health-seeking behaviour.
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Affiliation(s)
- Daniel Terry
- Department of Rural Health, The University of Melbourne, 49 Graham Street, Shepparton, VIC 3630, Australia.
| | - Shalley Robins
- Melbourne Medical School, The University of Melbourne, Level 2 West, Medical Building (181), Melbourne, VIC 3010, Australia
| | - Samantha Gardiner
- Melbourne Medical School, The University of Melbourne, Level 2 West, Medical Building (181), Melbourne, VIC 3010, Australia
| | - Ruby Wyett
- Melbourne Medical School, The University of Melbourne, Level 2 West, Medical Building (181), Melbourne, VIC 3010, Australia.,Ballarat Base Hospital, 1 Drummond St N, Ballarat Central, VIC 3350, Australia
| | - Md Rafiqul Islam
- Department of Rural Health, The University of Melbourne, 49 Graham Street, Shepparton, VIC 3630, Australia.,Goulburn Valley, Health, Graham St, Shepparton, VIC 3630, Australia.,School of Health and Social Development, Deakin University, Burwood Highway, Burwood, VIC 3125, Australia
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56
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Zhu L, Ge X, Chen Y, Zeng X, Pan W, Zhang X, Ben S, Yuan Q, Xin J, Shao W, Ge Y, Wu D, Han Z, Zhang Z, Chu H, Wang M. Short-term effects of ambient air pollution and childhood lower respiratory diseases. Sci Rep 2017; 7:4414. [PMID: 28667279 PMCID: PMC5493680 DOI: 10.1038/s41598-017-04310-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 05/12/2017] [Indexed: 12/18/2022] Open
Abstract
The association between air pollution and childhood respiratory disease is inconsistent. In the present study, we investigated a short-term effect of ambient air pollutants and daily childhood lower respiratory diseases (CLRD). Daily air pollutants, weather data, and CLRD data were collected from January 2014 to April 2015 (452 days) in Nanjing, China. Time-series regression and generalized additive models were used to assess the effects of air pollutants (PM10, PM2.5, NO2, SO2, O3, and CO) on CLRD. We observed that an interquartile range (IQR) increase in concentrations of PM10, NO2, and SO2 significantly increased the daily CLRD with 6 days cumulative effects (difference of estimates: 2.8%, 95% CI: 0.6–5.0%; 4.1%, 1.2–7.0%; 5.6%, 2.6–8.6%, respectively). However, no significant association was found in IQR concentrations of PM2.5, O3, and CO. Specifically, elevated PM10, PM2.5, NO2, and SO2 significantly increased the numbers of CLRD in cool season (3.6%, 1.5–5.7%; 2.4%, 0.3–4.5%; 4.9%, 2.9–7.0%; 6.3%, 3.7–9.0%, respectively). Additionally, the effect estimates of PM10, NO2, and SO2 in female and age >27 months were more pronounced than in male and age ≤27 months. This study suggested that short-term exposure to ambient PM10, NO2, and SO2 were associated with the increased CLRD numbers.
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Affiliation(s)
- Liyang Zhu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Statistics, School of Economics, Nanjing University Of Finance & Economics, Nanjing, China
| | - Xuhua Ge
- Department of Emergency, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yaoyao Chen
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Xinying Zeng
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wang Pan
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xu Zhang
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shuai Ben
- School of Public Health, Nantong University, Nantong, Jiangsu, China
| | - Qi Yuan
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Wei Shao
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yuqiu Ge
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Dongmei Wu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zhong Han
- Department of Statistics, School of Economics, Nanjing University Of Finance & Economics, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
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57
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Mercuri AM, Torri P, Fornaciari R, Florenzano A. Plant Responses to Climate Change: The Case Study of Betulaceae and Poaceae Pollen Seasons (Northern Italy, Vignola, Emilia-Romagna). PLANTS (BASEL, SWITZERLAND) 2016; 5:E42. [PMID: 27929423 PMCID: PMC5198102 DOI: 10.3390/plants5040042] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 11/21/2016] [Accepted: 12/01/2016] [Indexed: 11/26/2022]
Abstract
Aerobiological data have especially demonstrated that there is correlation between climate warming and the pollination season of plants. This paper focuses on airborne pollen monitoring of Betulaceae and Poaceae, two of the main plant groups with anemophilous pollen and allergenic proprieties in Northern Italy. The aim is to investigate plant responses to temperature variations by considering long-term pollen series. The 15-year aerobiological analysis is reported from the monitoring station of Vignola (located near Modena, in the Emilia-Romagna region) that had operated in the years 1990-2004 with a Hirst spore trap. The Yearly Pollen Index calculated for these two botanical families has shown contrasting trends in pollen production and release. These trends were well identifiable but fairly variable, depending on both meteorological variables and anthropogenic causes. Based on recent reference literature, we considered that some oscillations in pollen concentration could have been a main effect of temperature variability reflecting global warming. The duration of pollen seasons of Betulaceae and Poaceae, depending on the different species included in each family, has not unequivocally been determined. Phenological responses were particularly evident in Alnus and especially in Corylus as a general moving up of the end of pollination. The study shows that these trees can be affected by global warming more than other, more tolerant, plants. The research can be a contribution to the understanding of phenological plant responses to climate change and suggests that alder and hazelnut trees have to be taken into high consideration as sensible markers of plant responses to climate change.
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Affiliation(s)
- Anna Maria Mercuri
- Laboratorio di Palinologia e Paleobotanica, Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Viale Caduti in Guerra, 127, 41121 Modena, Italy.
| | - Paola Torri
- Laboratorio di Palinologia e Paleobotanica, Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Viale Caduti in Guerra, 127, 41121 Modena, Italy.
| | - Rita Fornaciari
- Laboratorio di Palinologia e Paleobotanica, Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Viale Caduti in Guerra, 127, 41121 Modena, Italy.
- Plant Physiology Lab, Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Via Kennedy, 17/I, 42124 Reggio Emilia, Italy.
| | - Assunta Florenzano
- Laboratorio di Palinologia e Paleobotanica, Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Viale Caduti in Guerra, 127, 41121 Modena, Italy.
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