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Jutila OEI, Mullin D, Vieno M, Tomlinson S, Taylor A, Corley J, Deary IJ, Cox SR, Baranyi G, Pearce J, Luciano M, Karlsson IK, Russ TC. Life-course exposure to air pollution and the risk of dementia in the Lothian Birth Cohort 1936. Environ Epidemiol 2025; 9:e355. [PMID: 39669703 PMCID: PMC11634326 DOI: 10.1097/ee9.0000000000000355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 10/18/2024] [Indexed: 12/14/2024] Open
Abstract
Background Air pollution in later life has been associated with dementia; however, limited research has investigated the association between air pollution across the life course, either at specific life periods or cumulatively. The project investigates the association of air pollution with dementia via a life-course epidemiological approach. Methods Participants of the Lothian Birth Cohort, born in 1936, provided lifetime residential history in 2014. Participant's air pollution exposure for time periods 1935, 1950, 1970, 1980, 1990, 2001, and 2007 was modeled using an atmospheric chemistry transport model. Lifetime cumulative exposures were calculated as time-weighted mean exposure. Of 572 participants, 67 developed all-cause dementia [35 with Alzheimer's dementia (AD)] by wave 5 (~82 years). Cox proportional hazards and competing risk models assessed the association between all-cause dementia and AD with particulate matter (diameter of ≤2.5 µm) PM2.5 and nitrogen dioxide (NO2) exposure at specific life periods and cumulatively. False discovery rate (FDR) correction was applied for multiple testing. Results The mean follow-up was 11.26 years. One standard deviation (SD) higher exposure to air pollution in 1935 (PM2.5 = 14.03 μg/m3, NO2 = 5.35 μg/m3) was positively linked but not statistically significant to all-cause dementia [PM2.5 hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 0.90, 1.49; NO2 HR = 1.13, 95% CI = 0.88, 1.47] and AD (PM2.5 HR = 1.38, 95% CI = 1.00, 1.91; NO2 HR = 1.35, 95% CI = 0.92, 1.99). In the competing risk model, one SD elevated PM2.5 exposure (1.12 μg/m3) in 1990 was inversely associated with dementia (subdistribution HR = 0.82, 95% CI = 0.67, 0.99) at P = 0.034 but not after FDR correction (P FDR = 0.442). Higher cumulative PM2.5 per one SD was associated with an increased risk of all-cause dementia and AD for all accumulation models except for the early-life model. Conclusion The in-utero and early-life exposure to PM2.5 and NO2 was associated with higher AD and all-cause dementia risk, suggesting a sensitive/critical period. Cumulative exposure to PM2.5 across the life course was associated with higher dementia risk. Midlife PM2.5 exposure's negative association with all-cause dementia risk may stem from unaddressed confounders or bias.
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Affiliation(s)
- Otto-Emil I. Jutila
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
- Deanary of Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Donncha Mullin
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Massimo Vieno
- UK Centre for Ecology & Hydrology (UKCEH), Penicuik, United Kingdom
| | - Samuel Tomlinson
- UK Centre for Ecology & Hydrology (UKCEH), Penicuik, United Kingdom
| | - Adele Taylor
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
| | - Janie Corley
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
| | - Simon R. Cox
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
| | - Gergő Baranyi
- Centre for Research on Environment, Society & Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Longitudinal Studies, UCL, London, United Kingdom
| | - Jamie Pearce
- Centre for Research on Environment, Society & Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Ida K. Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Tom C. Russ
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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Pruszkowska-Przybylska P, Kliś K, Flis W, Wronka I, Sitek A. Prenatal exposure to air pollutants and the second to fourth digit ratio in adult women. Sci Rep 2024; 14:27211. [PMID: 39516536 PMCID: PMC11549214 DOI: 10.1038/s41598-024-78943-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 11/05/2024] [Indexed: 11/16/2024] Open
Abstract
The study aimed to analyse the association between the digit ratio in adult women and the degree of air pollution (suspended particulate matter, sulphur dioxide, nitric dioxide, benzene levels) in the place of residence of their mothers during pregnancy. The data was collected from female students in several Polish cities. Measurements were taken, and questionnaire data were collected. 2D:4D ratios were calculated for the left and the right hand. The ratio was analysed as a continuous variables. Air quality information was retrieved from reports by the Chief Inspectorate for Environmental Protection. Statistically significant differences both in right- and left-hand 2D:4D ratio were found for PM10 and benzene. In addition, the right-hand 2D:4D differed significantly depending on PM2.5. The association between digit ratio and the complex air pollution index was also found. Poor air quality was associated with higher values of the ratio. Our results indicate that a high airborne pollutant level, especially suspended particulate matter, is associated with a higher digit ratio.
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Affiliation(s)
| | - Katarzyna Kliś
- Department of Human Biology, University of Wrocław, Wrocław, Poland
| | - Weronika Flis
- Doctoral School of Exact and Natural Sciences, Jagiellonian University, Kraków, Poland
- Laboratory of Anthropology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, ul. Gronostajowa 9, 30-387, Kraków, Poland
| | - Iwona Wronka
- Laboratory of Anthropology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, ul. Gronostajowa 9, 30-387, Kraków, Poland.
| | - Aneta Sitek
- Department of Anthropology, Faculty of Biology and Environmental Protection, University of Łódź, Łódź, Poland
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Ren J, Sun X, Zhang Z, Pei H, Zhang Y, Wen R, Qiao S, Wang Z, Zhang W, Zuo J, Ma Y. Exposure to volatile organic compounds and growth indicators in adolescents: Unveiling the association and potential intervention strategies. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135422. [PMID: 39106727 DOI: 10.1016/j.jhazmat.2024.135422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 08/09/2024]
Abstract
Environmental pollutant is considered to be one of the important factors affecting adolescent growth. However, the effects of volatile organic compounds (VOCs) exposure on adolescent growth have not been assessed. Data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 was used to examine the associations between VOCs exposure and adolescent growth indicators through three statistical models. The mediating effect of bone mineral density (BMD) on these associations was examined. The potential pathways and key targets were identified by the network pharmacology analysis methods. This study included 746 adolescents. Three statistical methods consistently showed a negative correlation between VOCs exposure and adolescent growth indicators. Furthermore, BMD mediated the relationship between VOCs exposure and adolescent growth indicators, with mediated proportion ranging from 4.3 % to 53.4 %. Network pharmacology analysis found a significant enrichment in IL-17 signaling pathway. Moreover, the adverse effects of VOCs exposure on adolescent growth were observed to significantly attenuate in adolescents with high serum vitamin D levels. Our results suggested that VOCs exposure was an adverse factor affecting adolescent growth, with BMD playing a significant regulatory role, and IL-17 signaling pathway was the underlying mechanism. Vitamin D supplementation may be a viable strategy to prevent VOCs exposure from affecting adolescent growth.
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Affiliation(s)
- Jingyi Ren
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Xiaoya Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zhenao Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Huanting Pei
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yadong Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Rui Wen
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Simeng Qiao
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zidan Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Weican Zhang
- Undergraduate of College of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Jinshi Zuo
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yuxia Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China.
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Fu J, Lin Q, Ai B, Li M, Luo W, Huang S, Yu H, Yang Y, Lin H, Wei J, Su X, Zhang Z. Associations between maternal exposure to air pollution during pregnancy and trajectories of infant growth: A birth cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115792. [PMID: 38064789 DOI: 10.1016/j.ecoenv.2023.115792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE We examined the relationships between infants' growth trajectories and prenatal exposure to air pollution, which is still under-investigated. METHODS A birth cohort study was constructed using medical records of pregnant women and infants born between 2015 and 2019 in Foshan, China. Using satellite-based spatial-temporal models, prenatal exposure to air pollutants including particulate matter with an aerodynamic dimension of < 2.5 µm (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) was assessed at each woman's residence. Latent class growth modeling was used to identify trajectories of physical (body length and weight) growth and neurodevelopment, which were repeatedly measured within 1 year after birth. Logistic regression models were used to investigate the associations between prenatal exposure to air pollution and the risks of growth disorders, adjusting for an array of potential confounders. RESULTS We identified two growth trajectories for body length [normal: 3829 (93%); retardation: 288 (7%)], three for weight [normal: 2475 (59.6%); retardation: 390 (9.4%); overgrowth: 1287 (31%)], and two for neurodevelopment [normal: 956 (66.1%); retardation: 491 (33.9%)]. For exposure over whole pregnancy, SO2 was associated with an increased risk of body length retardation (OR for per 1 µg/m3 increment: 1.09, 95%CI: 1.01-1.17); PM2.5 (OR: 1.05, 95%CI: 1.03-1.07), SO2 (OR: 1.15, 95%CI: 1.08-1.22), and NO2 (OR: 1.05, 95%CI: 1.03-1.07) were positively associated with neurodevelopmental retardation. Such associations appeared stronger for exposures over the first and second trimesters. No significant associations were detected for weight growth. CONCLUSIONS Maternal exposure to air pollution during pregnancy was associated with higher risks of impairments in both physical growth, particularly body length, and neurodevelopment.
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Affiliation(s)
- Jiaying Fu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qingmei Lin
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meijun Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weidong Luo
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Saijun Huang
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Hong Yu
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xi Su
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Hu B, Tang J, Xu G, Shao D, Huang H, Li J, Chen H, Chen J, Zhu L, Chen S, Shen B, Jin L, Xu L. Combined exposure to PM 2.5 and PM 10 in reductions of physiological development among preterm birth: a retrospective study from 2014 to 2017 in China. Front Public Health 2023; 11:1146283. [PMID: 37564430 PMCID: PMC10410271 DOI: 10.3389/fpubh.2023.1146283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023] Open
Abstract
Background Preterm birth (PTB) has been linked with ambient particulate matter (PM) exposure. However, data are limited between physiological development of PTB and PM exposure. Methods Trimester and season-specific PM exposure including PM2.5 and PM10 was collected from Jiaxing between January 2014 and December 2017. Information about parents and 3,054 PTB (gestational age < 37 weeks) outcomes such as weight (g), head circumference (cm), chest circumference (cm), height (cm) and Apgar 5 score were obtained from birth records. We used generalized linear models to assess the relationship between PTB physiological developmental indices and PM2.5, PM10 and their combined exposures. A binary logistic regression model was performed to assess the association between exposures and low birth weight (LBW, < 2,500 g). Results Results showed that there were 75.5% of low birth weight (LBW) infants in PTB. Decreased PM2.5 and PM10 levels were found in Jiaxing from 2014 to 2017, with a higher PM10 level than PM2.5 each year. During the entire pregnancy, the highest median concentration of PM2.5 and PM10 was in winter (61.65 ± 0.24 vs. 91.65 ± 0.29 μg/m3) followed by autumn, spring and summer, with statistical differences in trimester-specific stages. After adjusting for several potential factors, we found a 10 μg/m3 increase in joint exposure of PM2.5 and PM10 during the entire pregnancy associated with reduced 0.02 week (95%CI: -0.05, -0.01) in gestational age, 7.9 g (95%CI: -13.71, -2.28) in birth weight, 0.8 cm in height (95%CI: -0.16, -0.02), 0.05 cm (95%CI: -0.08, - 0.01) in head circumference, and 0.3 (95%CI: -0.04, -0.02) in Apgar 5 score, except for the chest circumference. Trimester-specific exposure of PM2.5 and PM10 sometimes showed an opposite effect on Additionally, PM2.5 (OR = 1.37, 95%CI: 1.11, 1.68) was correlated with LBW. Conclusion Findings in this study suggest a combined impact of fine particulate matter exposure on neonatal development, which adds to the current understanding of PTB risk and health.
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Affiliation(s)
- Bo Hu
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
- Department of Pathology and Key-Innovative Discipline Molecular Diagnostics, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Jie Tang
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
- Department of Pathology and Key-Innovative Discipline Molecular Diagnostics, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Guangtao Xu
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Dongliang Shao
- Department of Neonatal Intensive Care Unit, Jiaxing Maternity and Child Health Care Hospital, Jiaxing University, Jiaxing, Zhejiang, China
| | - Huafei Huang
- Department of Neonatal Intensive Care Unit, Jiaxing Maternity and Child Health Care Hospital, Jiaxing University, Jiaxing, Zhejiang, China
| | - Jintong Li
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Huan Chen
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Jie Chen
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Liangjin Zhu
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Shipiao Chen
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Bin Shen
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Limin Jin
- Department of Pathology and Key-Innovative Discipline Molecular Diagnostics, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing University, Jiaxing, Zhejiang, China
| | - Long Xu
- Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China
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Wronka I, Kliś K. Effect of air pollution on age at menarche in polish females, born 1993-1998. Sci Rep 2022; 12:4820. [PMID: 35315430 PMCID: PMC8938500 DOI: 10.1038/s41598-022-08577-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 03/07/2022] [Indexed: 11/09/2022] Open
Abstract
The aim of the study was to analyse the association between the degree of air pollution (suspended particulate matter, sulphur dioxide, benzopyrene levels) in the location of residence during childhood and adolescence and the age at menarche. The research was carried out in the period from 2015 to 2018 in Poland. Anthropometric measurements were performed, and questionnaire data were collected from 1,257 women, aged 19-25 years. The average levels of subjects' exposure to analysed air pollutants, i.e., particulate matter, sulphur dioxide, nitric oxide and benzene during childhood-adolescence was assessed from the data acquired by the Polish Chief Inspectorate for Environmental Protection. Negative relationships between age at menarche and suspended particulate matter as well as nitrogen levels were found. A similar trend was observed in an analysis of the relationship between age at menarche and the complex air pollution index. The tendency for age at menarche to decrease together with worsening air quality was also visible after adjusted for socioeconomic status. Girls exposed to high suspended particulate matter levels were characterised by higher risk of early age at menarche. High levels of air pollution are related to younger age at menarche and the risk of the menstruation onset below 11 years.
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Affiliation(s)
- Iwona Wronka
- Laboratory of Anthropology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University in Kraków, ul. Gronostajowa 9, 30-387, Kraków, Poland.
| | - Katarzyna Kliś
- Laboratory of Anthropology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University in Kraków, ul. Gronostajowa 9, 30-387, Kraków, Poland
- Department of Human Biology, University of Wrocław, Wrocław, Poland
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