169 research outputs found
Environmental Exposures, Genetic Susceptibility and Preterm Birth
Preterm births cause a large public-health burden because of its high prevalence, leading cause of neonatal morbidity and mortality, and environmental hazards is considered to be a potential risk factors (Adams et al., 2000; Bloom et al., 2001; Tucker & McGuire, 2004; Colvin et al. 2004; Fraser et al. 2004; Murphy et al. 2004). The frequency of preterm births is about 12–13% in the USA and 5–9% in many other developed countries; however, the rate of preterm birth has increased in many locations (Goldenberg et al., 2008). Thus, to elicit of risk factors that could predict high risk of preterm birth represents a challenge to practitioners and researchers. The increasing rate of preterm birth in recent decades, despite improvements in health care, creates an impetus to better understand and prevent this disorder. The identification of women at increased risk of preterm delivery is an important challenge. Preterm birth likely depends on a number of interacting factors, including genetic, epigenetic, and environmental risk factors (Windham et al., 2000; Plunkett & Muglia, 2008). The epidemiological data suggested that both genetic factors and socioenvironmental factors may influence preterm birth (Wang et al., 2000; Nukui et al., 2004; Lewis et al., 2006; Suh et al., 2008)Aplinkotyros katedraVytauto Didžiojo universiteta
Impact of the Social and Natural Environment on Preschool-Age Children Weight
Background: The complex impact of environmental and social
factors on preschool children being overweight/obese is unclear.
We examined the associations between the levels of green space
exposure and the risk of being overweight/obese for 4-6 year-old
children and assessed the impact of maternal education on these
associations. Methods: This cross-sectional study included 1489
mother-child pairs living in Kaunas, Lithuania, in 2012-2013. We
assessed children overweight/obesity by standardized
questionnaires using international body mass index cut-off
points, and the level of greenness exposures by
satellite-derived normalized difference vegetation index (NDVI)
of each child's home and by the distance to a nearest city park.
The maternal education was used as the SES indicator. We used
logistic regression models to investigate the strength of the
associations. Results: Children from families with poorer
maternal education, pathological mother-child relations and
smoking mothers, and living in areas with less greenness
exposure (NDVI-100 m), had significantly higher odds ratios of
being overweight/obese. Lower maternal education and distance to
a city park modified the effect of greenness cover level
exposure on the risk of children being overweight/obese.
Conclusions: Higher greenness exposure in the residential
settings has beneficial effects on children's physical
development. The green spaces exposures for psychosocial stress
management is recommended as a measure to prevent
overweight/obesity among children
Characterisation of the natural environment: quantitative indicators across Europe
BACKGROUND: The World Health Organization recognises the
importance of natural environments for human health. Evidence
for natural environment-health associations comes largely from
single countries or regions, with varied approaches to measuring
natural environment exposure. We present a standardised approach
to measuring neighbourhood natural environment exposure in
cities in different regions of Europe. METHODS: The Positive
Health Effects of the Natural Outdoor environment in TYPical
populations of different regions in Europe (PHENOTYPE) study
aimed to explore the mechanisms linking natural environment
exposure and health in four European cities (Barcelona, Spain;
Doetinchem, the Netherlands; Kaunas, Lithuania; and
Stoke-on-Trent, UK). Common GIS protocols were used to develop a
hierarchy of natural environment measures, from simple measures
(e.g., NDVI, Urban Atlas) using Europe-wide data sources, to
detailed measures derived from local data that were specific to
mechanisms thought to underpin natural environment-health
associations (physical activity, social interaction, stress
reduction/restoration). Indicators were created around
residential addresses for a range of straight line and network
buffers (100 m-1 km). RESULTS: For simple indicators derived
from Europe-wide data, we observed differences between cities,
which varied with different indicators (e.g., Kaunas and
Doetinchem had equal highest mean NDVI within 100 m buffer, but
mean distance to nearest natural environment in Kaunas was more
twice that in Doetinchem). Mean distance to nearest natural
environment for all cities suggested that most participants
lived close to some kind of natural environments (64 +/- 58-363
+/- 281 m; mean 180 +/- 204 m). The detailed classification
highlighted marked between-city differences in terms of
prominent types of natural environment. Indicators specific to
mechanisms derived from this classification also captured more
variation than the simple indicators. Distance to nearest and
count indicators showed clear differences between cities, and
those specific to the mechanisms showed within-city differences
for Barcelona and Doetinchem. CONCLUSIONS: This paper
demonstrates the feasibility and challenges of creating
comparable GIS-derived natural environment exposure indicators
across diverse European cities. Mechanism-specific indicators
showed within- and between-city variability that supports their
utility for ecological studies, which could inform more specific
policy recommendations than the traditional proxies for natural
environment access
Investigating the process of ethical approval in citizen science research: The case of Public Health
Undertaking citizen science research in Public Health involving human subjects poses significant challenges concerning the traditional process of ethical approval. It requires an extension of the ethics of protection of research subjects in order to include the empowerment of citizens as citizen scientists. This paper investigates these challenges and illustrates the ethical framework and the strategies developed within the CitieS-Health project. It also proposes first recommendations generated from the experiences of five citizen science pilot studies in environmental epidemiology within this project.publishedVersio
Implementing co-created citizen science in five environmental epidemiological studies in the CitieS-Health project
BACKGROUND AND AIM: Scientists and scientific institutions are adopting more extensive participatory models, hoping to revisit the existing relationship between science and society. Though citizen science has become more common in environmental monitoring, it is seldom utilized in environmental epidemiology. In the CitieS-Health project, we co-created epidemiological studies with citizens in five European countries. The aim of this paper is to share our experiences and impart methodological insight into the application of co-created citizen science strategies in environmental epidemiology. METHODS: We applied the CitieS-Health framework, involving citizens in all the phases of the studies: identifying research questions, designing research protocols, collecting data, analysing data, interpreting data, formulating conclusions, authoring scientific articles and communicating the results to diverse audiences. These epidemiological studies, conducted in specific areas in Italy, Lithuania, the Netherlands, Slovenia and Spain, covered diverse local environmental issues and health effects ranging from air pollution and mental health to industrial pollution and kidney disease. RESULTS: Together with citizens, we successfully conducted environmental epidemiological studies that generated new scientific knowledge reflecting the concerns and knowledge of citizens. Citizens contributed in all the research activities, including activities beyond formulating the research questions, though the researchers initiated several design discussions and conducted time-consuming and complex tasks (e.g. data analysis, measurement of specific exposures and health outcomes). The challenges we encountered were engaging effectively with citizens throughout the study, harmonizing citizens' knowledge and values with the academics' expertise, managing civic expectations, making complex concepts understandable to citizens and representativeness of participating citizens. The co-created studies were able to empower citizens to address local health concerns by sharing and using scientific knowledge generated from studies. CONCLUSIONS: Integration of co-created citizen science in environmental epidemiology is feasible and has the potential to improve the quality of research whilst promoting civic trust in research and results
Prenatal environmental exposures associated with sex differences in childhood obesity and neurodevelopment
Background
Obesity and neurodevelopmental delay are complex traits that often co-occur and differ between boys and girls. Prenatal exposures are believed to influence children’s obesity, but it is unknown whether exposures of pregnant mothers can confer a different risk of obesity between sexes, and whether they can affect neurodevelopment.
Methods
We analyzed data from 1044 children from the HELIX project, comprising 93 exposures during pregnancy, and clinical, neuropsychological, and methylation data during childhood (5–11 years). Using exposome-wide interaction analyses, we identified prenatal exposures with the highest sexual dimorphism in obesity risk, which were used to create a multiexposure profile. We applied causal random forest to classify individuals into two environments: E1 and E0. E1 consists of a combination of exposure levels where girls have significantly less risk of obesity than boys, as compared to E0, which consists of the remaining combination of exposure levels. We investigated whether the association between sex and neurodevelopmental delay also differed between E0 and E1. We used methylation data to perform an epigenome-wide association study between the environments to see the effect of belonging to E1 or E0 at the molecular level.
Results
We observed that E1 was defined by the combination of low dairy consumption, non-smokers’ cotinine levels in blood, low facility richness, and the presence of green spaces during pregnancy (ORinteraction¿=¿0.070, P¿=¿2.59¿×¿10-5). E1 was also associated with a lower risk of neurodevelopmental delay in girls, based on neuropsychological tests of non-verbal intelligence (ORinteraction¿=¿0.42, P¿=¿0.047) and working memory (ORinteraction¿=¿0.31, P¿=¿0.02). In line with this, several neurodevelopmental functions were enriched in significant differentially methylated probes between E1 and E0.
Conclusions
The risk of obesity can be different for boys and girls in certain prenatal environments. We identified an environment combining four exposure levels that protect girls from obesity and neurodevelopment delay. The combination of single exposures into multiexposure profiles using causal inference can help determine populations at risk.Peer ReviewedPostprint (published version
The early-life exposome modulates the effect of polymorphic inversions on DNA methylation
Polymorphic genomic inversions are chromosomal variants with intrinsic variability that play important roles in evolution, environmental adaptation, and complex traits. We investigated the DNA methylation patterns of three common human inversions, at 8p23.1, 16p11.2, and 17q21.31 in 1,009 blood samples from children from the Human Early Life Exposome (HELIX) project and in 39 prenatal heart tissue samples. We found inversion-state specific methylation patterns within and nearby flanking each inversion region in both datasets. Additionally, numerous inversion-exposure interactions on methylation levels were identified from early-life exposome data comprising 64 exposures. For instance, children homozygous at inv-8p23.1 and higher meat intake were more susceptible to TDH hypermethylation (P¿=¿3.8¿×¿10-22); being the inversion, exposure, and gene known risk factors for adult obesity. Inv-8p23.1 associated hypermethylation of GATA4 was also detected across numerous exposures. Our data suggests that the pleiotropic influence of inversions during development and lifetime could be substantially mediated by allele-specific methylation patterns which can be modulated by the exposome.Peer ReviewedPostprint (published version
Clinical Study The Effect of Park and Urban Environments on Coronary Artery Disease Patients: A Randomized Trial
Aim. To test the hypothesis that walking in a park has a greater positive effect on coronary artery disease (CAD) patients' hemodynamic parameters than walking in an urban environment. Methods. Twenty stable CAD patients were randomized into two groups: 30-minute walk on 7 consecutive days in either a city park or busy urban street. Wilcoxon signed-rank test was employed to study short-term (30 min) and cumulative changes (following 7 consecutive days of exposure) in resting hemodynamic parameters in different environments. Results. There were no statistically significant differences in the baseline and peak exercise systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), exercise duration, or HR recovery in urban versus park exposure groups. Seven days of walking slightly improved all hemodynamic parameters in both groups. Compared to baseline, the city park group exhibited statistically significantly greater reductions in HR and DBP and increases in exercise duration and HR recovery. The SBP and DBP changes in the urban exposed group were lower than in the park exposed group. Conclusions. Walking in a park had a greater positive effect on CAD patients' cardiac function than walking in an urban environment, suggesting that rehabilitation through walking in green environments after coronary events should be encouraged
Maternal Smoking, GSTM1 and GSTT1 Polymorphism and Susceptibility to Adverse Pregnancy Outcomes
The objective of the study was to investigate the association between maternal smoking, GSTM1, GSTT1 polymorphism, low birth weight (LBW, < 2,500 g) and intra-uterine growth restriction (IUGR, < 2,500 g and gestation ≥ 37 weeks) risk. Within a prospective cohort study in Kaunas (Lithuania), a nested case-control study on LBW and IUGR occurrence among 646 women with genotyping of GSTT1 and GSTM1 polymorphisms who delivered live singletons was conducted. Multivariate logistic regression analysis was used to study the association of maternal smoking and polymorphism in two genes metabolizing xenobiotics. Without consideration of genotype, light-smoking (mean 4.8 cigarettes/day) during pregnancy was associated with a small increase in LBW risk, adjusted OR 1.21; 95% CI 0.44 – 3.31. The corresponding odds for IUGR risk was 1.57; 95% CI 0.45 – 5.55. The findings suggested the greater LBW risk among light-smoking mothers with the GSTM1-null genotype (OR 1.91; 95% CI 0.43 – 8.47) compared to those with GSTM1-present genotype (OR 1.11; 95% CI 0.26 – 4.47). When both GSTM1 and GSTT1 genotypes were considered, the synergistic effect was found among smoking mothers: GSTT1-present and GSTM1-null genotype OR for LBW was 3.31; 95% CI 0.60–18.4 and that for IUGR was 2.47; 95% CI 0.31 – 13.1. However there was no statistically significant interaction between maternal smoking, GSTT1- present and GSTM1-null genotypes for LBW (OR 1.45; 95% CI 0.22 – 10.1, p = 0.66) and for IUGR (OR 1.10; 95% CI 0.10 – 12.6, p = 0.93). The results of this study suggested that smoking, even at a low-level, ought to be considered a potential risk factor for adverse birth outcomes and that genetic polymorphism may contribute to individual variation in tobacco smoke response
Implementing co-created citizen science in five environmental epidemiological studies in the CitieS-Health project
Background and aim: Scientists and scientific institutions are adopting more extensive participatory models, hoping to revisit the existing relationship between science and society. Though citizen science has become more common in environmental monitoring, it is seldom utilized in environmental epidemiology. In the CitieS-Health project, we co-created epidemiological studies with citizens in five European countries. The aim of this paper is to share our experiences and impart methodological insight into the application of co-created citizen science strategies in environmental epidemiology. Methods: We applied the CitieS-Health framework, involving citizens in all the phases of the studies: identifying research questions, designing research protocols, collecting data, analysing data, interpreting data, formulating conclusions, authoring scientific articles and communicating the results to diverse audiences. These epidemiological studies, conducted in specific areas in Italy, Lithuania, the Netherlands, Slovenia and Spain, covered diverse local environmental issues and health effects ranging from air pollution and mental health to industrial pollution and kidney disease. Results: Together with citizens, we successfully conducted environmental epidemiological studies that generated new scientific knowledge reflecting the concerns and knowledge of citizens. Citizens contributed in all the research activities, including activities beyond formulating the research questions, though the researchers initiated several design discussions and conducted time-consuming and complex tasks (e.g. data analysis, measurement of specific exposures and health outcomes). The challenges we encountered were engaging effectively with citizens throughout the study, harmonizing citizens' knowledge and values with the academics' expertise, managing civic expectations, making complex concepts understandable to citizens and representativeness of participating citizens. The co-created studies were able to empower citizens to address local health concerns by sharing and using scientific knowledge generated from studies. Conclusions: Integration of co-created citizen science in environmental epidemiology is feasible and has the potential to improve the quality of research whilst promoting civic trust in research and results
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