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Green spaces and cognitive development in primary schoolchildren

  • Barcelona Institute for Gloal Health (ISGlobal)
  • RTI Health Solutions, Barcelona, Spain

Abstract and Figures

Exposure to green space has been associated with better physical and mental health. Although this exposure could also influence cognitive development in children, available epidemiological evidence on such an impact is scarce. This study aimed to assess the association between exposure to green space and measures of cognitive development in primary schoolchildren. This study was based on 2,593 schoolchildren in the second to fourth grades (7-10 y) of 36 primary schools in Barcelona, Spain (2012-2013). Cognitive development was assessed as 12-mo change in developmental trajectory of working memory, superior working memory, and inattentiveness by using four repeated (every 3 mo) computerized cognitive tests for each outcome. We assessed exposure to green space by characterizing outdoor surrounding greenness at home and school and during commuting by using high-resolution (5 m × 5 m) satellite data on greenness (normalized difference vegetation index). Multilevel modeling was used to estimate the associations between green spaces and cognitive development. We observed an enhanced 12-mo progress in working memory and superior working memory and a greater 12-mo reduction in inattentiveness associated with greenness within and surrounding school boundaries and with total surrounding greenness index (including greenness surrounding home, commuting route, and school). Adding a traffic-related air pollutant (elemental carbon) to models explained 20-65% of our estimated associations between school greenness and 12-mo cognitive development. Our study showed a beneficial association between exposure to green space and cognitive development among schoolchildren that was partly mediated by reduction in exposure to air pollution.
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Green spaces and cognitive development in
primary schoolchildren
Payam Dadvand
, Mark J. Nieuwenhuijsen
, Mikel Esnaola
, Joan Forns
, Xavier Basagaña
Mar Alvarez-Pedrerol
, Ioar Rivas
, Mónica López-Vicente
, Montserrat De Castro Pascual
, Jason Su
Michael Jerrett
, Xavier Querol
, and Jordi Sunyer
Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain;
Experimental and Health Sciences, Pompeu Fabra University, 08003
Barcelona, Catalonia, Spain;
Ciber on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain;
Department of Genes and Environment, Division
of Epidemiology, Norwegian Institute of Public Health, 0473, Oslo, Norway;
Department of Geosciences, Institute of Environmental Assessment and Water
Research, Spanish National Research Council (CSIC-IDEA), 08034 Barcelona, Catalonia, Spain;
Environmental Health Sciences, School of Public Health,
University of California, Berkeley, CA 94720-7360;
Department of Environmental Health Sciences, Fielding School of Public Health, University of California,
Los Angeles, CA 90095; and
Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Catalonia, Spain
Edited by Susan Hanson, Clark University, Worcester, MA, and approved May 15, 2015 (received for review February 18, 2015)
Exposure to green space has been associated with better physical
and mental health. Although this exposure could also influence
cognitive development in children, available epidemiological
evidence on such an impact is scarce. This study aimed to assess
the association between exposure to green space and measures of
cognitive development in primary schoolchildren. This study was
based on 2,593 schoolchildren in the second to fourth grades (710
y) of 36 primary schools in Barcelona, Spain (20122013). Cognitive
development was assessed as 12-mo change in developmental
trajectory of working memory, superior working memory, and in-
attentiveness by using four repeated (every 3 mo) computerized
cognitive tests for each outcome. We assessed exposure to green
space by characterizing outdoor surrounding greenness at home
and school and during commuting by using high-resolution (5 m ×
5 m) satellite data on greenness (normalized difference vegetation
index). Multilevel modeling was used to estimate the associations
between green spaces and cognitive development. We observed
an enhanced 12-mo progress in working memory and superior
working memory and a greater 12-mo reduction in inattentiveness
associated with greenness within and surrounding school bound-
aries and with total surrounding greenness index (including green-
ness surrounding home, commuting route, and school). Adding a
traffic-related air pollutant (elemental carbon) to models explained
2065% of our estimated associations between school greenness
and 12-mo cognitive development. Our study showed a beneficial
association between exposure to green space and cognitive devel-
opment among schoolchildren that was partly mediated by reduc-
tion in exposure to air pollution.
built environment
Contact with nature is thought to play a crucial and irre-
placeable role in brain development (1, 2). Natural envi-
ronments including green spaces provide children with unique
opportunities such as inciting engagement, risk taking, discovery,
creativity, mastery and control, strengthening sense of self, in-
spiring basic emotional states including sense of wonder, and
enhancing psychological restoration, which are suggested to in-
fluence positively different aspects of cognitive development (1
3). Beneficial effects of green spaces on cognitive development
might accrue from direct influences such as those above, with
green space itself exerting the positive influence or through in-
direct, mediated pathways. The ability of green spaces to miti-
gate traffic-related air pollution (TRAP) (4) could lead to a
beneficial impact of green spaces on cognitive development,
because exposure to TRAP has been negatively associated with
cognitive development in children (5). Further to TRAP, green
spaces can also reduce noise (6), which itself too has been neg-
atively associated with cognitive development (7). Moreover,
proximity to green spaces, particularly parks, has been suggested
to increase physical activity (8), and higher levels of physical
activity are related to improved cognitive development (9).
Outdoor surrounding greenness has also been reported to enrich
microbial input from the environment (10), which may positively
influence cognitive development (10). Through these pathways,
exposure to green space, including outdoor surrounding greenness
and proximity to green spaces, could influence cognitive de-
velopment in children, yet the available population-based evidence
on the association between such exposure and cognitive develop-
ment in children remains scarce.
The brain develops steadily during prenatal and early post-
natal periods, which are considered as the most vulnerable
windows for effects of environmental exposures (11). However,
some cognitive functions closely related with learning and school
achievementsuch as working memory and attentiondevelop
across childhood and adolescence as an essential part of cogni-
tive maturation (1214). We therefore hypothesized a priori that
exposure to green space in primary schoolchildren could en-
hance cognitive development. Accordingly, our study aimed to
assess the association between indicators of exposure to green
space and measures of cognitive development, including working
memory (the system that holds multiple pieces of transitory in-
formation in the mind where they can be manipulated), superior
working memory (working memory that involves continuous
updating of the working memory buffer), and inattentiveness in
primary schoolchildren. As a secondary aim, we also evaluated
the mediating role of a reduction in air pollution as one of the
potential mechanisms underlying this association.
Green spaces have a range of health benefits, but little is known in
relation to cognitive development in children. This study, based on
comprehensive characterization of outdoor surrounding green-
ness (at home, school, and during commuting) and repeated
computerized cognitive tests in schoolchildren, found an improve-
ment in cognitive development associated with surrounding
greenness, particularly with greenness at schools. This association
was partly mediated by reductions in air pollution. Our findings
provide policymakers with evidence for feasible and achievable
targeted interventions such as improving green spaces at schools
to attain improvements in mental capital at population level.
Author contributions: P.D., M.J.N. , X.Q., and J. Sunyer designed research; M.J.N., J.F.,
M.A.-P., I.R., M.L.-V., M.D.C.P., X.Q., and J. Sunyer performed research; M.E., X.B., J. Su,
and M.J. contributed new reagents/analytic tools; P.D., M.E., and X.B. analyzed data; and
P.D. and J. Sunyer wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
To whom correspondence should be addressed. Email:
This article contains supporting information online at
1073/pnas.1503402112/-/DCSupplemental. PNAS
June 30, 2015
vol. 112
no. 26
Study Setting. We undertook this study in Barcelona, Spain, a port city sit-
uated on the northeastern part of the Iberian Peninsula. It has a Mediter-
ranean climate characterized by hot and dry summers, mild winters, and
maximum precipitation and vegetation during autumn and spring. This study
was conducted in the context of the brain development and air pollution
ultrafine particles in school children (BREATHE) project. Of the 416 schools in
Barcelona, 37 schools were initially selected to obtain maximum contrast in
TRAP levels (i.e., nitrogen dioxide: NO
), of which 36 accepted to participate
and were included in the study (SI Appendix, Fig. S1). Participating schools
were similar to the remaining schools in Barcelona in terms of the neigh-
borhood socioeconomic vulnerability index (0.46 versus 0.50, KruskalWallis test
P=0.57) and NO
levels (51.5 versus 50.9 μg/m
, KruskalWallis test P=0.72).
All schoolchildren (n=4,562) without special needs in the second to
fourth grades (710 y) of these schools were invited to participate by letters
or presentations in schools for parents, of which 2,623 (58%) agreed to take
part in BREATHE. All children had been in the school for more than 6 mo
(and 98% more than 1 y) before the beginning of the study. All parents or
guardians signed the informed consent and the study was approved (No.
2010/41221/I) by the Clinical Research Ethical Committee of the Parc de Salut
Mar, Barcelona.
Outcome:Cognitive Development. Cognitive development was assessedthrough
12-mo change in developmental trajectory of working memory and at-
tention. We selected these functions because they grow steadily during
preadolescence (15, 16). We used computerized n-back test for assessing
working memory (15) and computerized attentional network test (ANT)
(17) for evaluating attention.
From January 2012 to March 2013, children were evaluated every 3 mo
over four repeated visits by using computerized tests in sessions lasting
40 min in length. Groups of 1020 children wearing ear protectors were
assessed together and supervised by one trained examiner per 34 children.
For the n-back test, we examined different n-back loads (up to three-back)
and stimuli (colors, numbers, letters, and words). For analysis here, we se-
lected both two-back and three-back loads for number and word stimuli
because they showed a clear age-dependent slope in the four measurements
(4). The two-back predicts general mental abilities (i.e., working memory)
whereas the three-back also predicts superior functions such as fluid in-
telligence (i.e., superior working memory) (18). All sets of n-back tests star-
ted with colors as a training phase to ensure participantscomprehension of
the test. The n-back parameter analyzed was dprime (d), a measure of
detection subtracting the normalized false alarm rate from the hit rate
[(Z hit rate Z false alarm rate) ×100]. A higher dindicates more accurate
test performance. Given that our final findings for numbers and words were
similar, here we only show results for numbers. Among the ANT measures,
we chose hit reaction time standard error (HRT-SE) (SE of RT for correct re-
sponses), a measure of response speed consistency throughout the test (19),
because it showed a clear growth during the 1-y study period. A higher HRT-SE
indicates highly variable reactions related to inattentiveness.
Exposure to Green Space. Our assessment of exposure to green space was
based on a comprehensive characterization of outdoor surrounding green-
ness (photosynthetically active vegetation) encompassing greenness sur-
rounding home, greenness surrounding commuting route between home
and school (hereafter referred to as commuting greenness), and greenness
within and around school boundaries.
To assess outdoor surrounding greenness we applied normalized differ-
ence vegetation index (NDVI) derived from RapidEye data at 5 m ×5m
resolution. NDVI is an indicator of greenness based on land surface re-
flectance of visible (red) and near-infrared parts of spectrum (20). It ranges
between 1 and 1, with higher numbers indicating more greenness. The
RapidEye Imagery is acquired from a constellation of five satellites 630 km
above ground in sun-synchronous orbits. We generated our NDVI map by
using the image obtained on July 23, 2012, that was available for our study
region during our study period (SI Appendix, Fig. S1).
Residential surrounding greenness. Residential surrounding greenness was ab-
stracted as the average of NDVI in a buffer of 250 m (21, 22) around the home
address of each study participant. For 174 children (5.9%) who shared two
homes, we used the address where the child spent most of her/his time.
Commuting greenness. Data on the main mode of commute to and from school
was obtained from parents via questionnaires. Approximately 60% of par-
ticipants reported walking as the main mode of commuting, whereas the
38% reported commuting by motor vehicles (private car, bus, motorcycle, or
tram). The remaining 2% reported the underground metro train as the main
mode of transport, for whom we assumed no exposure to greenness during
commuting. For participants reporting walking as the main mode of com-
muting, we identified the shortest walking route to school and for partici-
pants reporting motor vehicles as the main mode of commuting, we
identified the shortest driving route to school, based on street networks
(network distance) by using network analyst extension from ArcGIS software
v10. We defined commuting greenness as the average of NDVI in a 50-m
buffer around the commuting route.
School greenness. To assess greenness within school premises, we first digitized
the school boundaries and then averaged NDVI values within those
boundaries. To assess greenness surrounding schools, we averaged NDVI
values across a 50 m buffer around the school boundaries.
Total surrounding greenness index. We developed a total surrounding greenness
index by averaging residential surrounding greenness (250-m buffer), com-
muting greenness, and greenness within school boundaries weighted by the
daytime (12 h a day) that children were assumed to spend at home (3 h),
commuting (1 h), and school (8 h). To avoid double-counting in developing
this index, we abstracted as the average NDVI over commute corridor beyond
the 250-m home buffer and 50-m school buffer.
Main Analyses. Data on 9,357 tests from 2,593 (99%) children were available
for analysis. Because of the multilevel nature of the data (i.e., multiple visits
for each child within schools), we used linear mixed effects models with the
four repeated cognitive parameters as outcomes (one test at a time), each
measure of exposure to green space (one at a time) as fixed effect predictor,
and child and school as random effects (5). An interaction between age at
each visit and the indicator of exposure to green space was included to
capture changes in 12-mo progress in cognitive trajectory associated with
greenness exposure (5). The main effect of exposure to green space, which
was also included in the model, captured the baseline (visit 1) differences in
cognitive function that were associated with exposure to green space before
the first visit. This model was further adjusted for potential confounders
identified a priori:age (centered at visit 1), sex, and indicators of socioeco-
nomic status (SES) at both individual and area levels. Maternal education (no
or primary/secondary/university) was used as the indicator of individual-level
SES and Urban Vulnerability Index (23), a measure of neighborhood SES at
the census tract (median area of 0.08 km
for the study region) was applied
as the indicator of area-level SES. Linearity of the relation between exposure
to green space and cognitive tests was assumed because generalized addi-
tive mixed models did not show any nonlinearity of associations. We esti-
mated the change in average outcome scores associated with one
interquartile range (IQR) increase (based on all study participants) in average
NDVI. Statistical significance was set at P<0.05. R statistical package was
used to carry out the analyses.
Mediating Role of Traffic-Related Air Pollution. We hypothesized that re-
duction in TRAP levels could be one of the potential mechanisms underlying
the association between greenness exposure and cognitive development. To
quantify such a mediating role, we calculated the percent of the associations
between greenness and cognitive development explained by TRAP as [1
)] ×100, where β
was the regression coefficient for the greenness
exposure in a fully adjusted model including the mediator (i.e., TRAP) and β
was the regression coefficient in the fully adjusted model without including
the mediator (24).
We focused on the associations between school greenness and cognitive
development because they were the strongest among our evaluated asso-
ciations (Results) and also because of the availability of data on levels of air
pollutants at BREATHE schools that were monitored as part of the BREATHE
project. Such a high-quality monitored data were not available for TRAP
levels at homes or during commuting. Among the TRAPs monitored in the
BREATHE framework, we chose indoor levels of elemental carbon (EC) for
this mediation analyses. EC is mainly generated by fossil fuel combustion and
is considered as a tracer of road traffic emissions in Barcelona (25). In other
BREATHE analyses, we had observed that indoor EC was associated with
adverse impacts on cognitive development (5) and EC levels were reduced in
schools with higher greenness (4). Detailed description of TRAP sampling
methodology at the BREATHE schools has been published (25, 26).
Children were on average 8.5 y old at baseline and 50% were
girls. Regarding maternal education, 13% of mothers had no or
only primary school, 29% secondary school, and 58% university
education. Further characteristics of the study participants are
presented in SI Appendix, Table S1. Average working memory
increased by 22.8%, superior working memory by 15.2%, and
| Dadvand et al.
inattentiveness decreased by 18.9% during the follow up (Table 1).
At baseline, higher maternal education was associated with better
cognitive function (SI Appendix,TableS2). For 12-mo progress,
whereas higher maternal education was associated with larger re-
duction in inattentiveness, improvements in working memory and
superior working memory were not associated with maternal edu-
cation (SI Appendix,TableS2). The median (IQR) of our estimated
surrounding greenness for all participants and across strata of ma-
ternal education are presented in Table 2 and SI Appendix,Table
S2, respectively. The Spearmans correlation coefficient among
residential, school, and commuting surrounding greenness varied
from 0.46 (between surrounding greenness at home and greenness
within school boundaries) to 0.80 (between commuting and school
surrounding greenness) (SI Appendix,TableS3).
Main Analyses. We observed an enhanced 12-mo progress in
working memory and superior working memory and a greater
12-mo reduction in inattentiveness associated with greenness within
and surrounding school boundaries and with the total surrounding
greennessindex(Table2,Fig.1,andSI Appendix,Fig.S2). Com-
muting greenness was also associated with improved 12-mo progress
in working memory and superior working memory, although the
association for superior working memory was only marginally sta-
tistically significant. We did not observe any association between
residential surrounding greenness and cognitive measurements
(Table 2). None of the indicators of outdoor greenness were asso-
ciated with baseline cognitive measurements (Table 2).
The findings for n-back tests with wordstimuli were con-
sistent with the aforementioned results for numberstimuli (SI
Appendix,TableS4). The association between commuting green-
ness and 12-mo progress in superior working memory, which had
borderline statistical significance for the three-back test using
number stimuli, was statistically significant for the test using
word stimuli.
To explore the possibility of an impact of green space exposure
on other ANT measures than inattentiveness, we repeated the
main analyses by using alerting, orienting, and executive pro-
cessing (one at a time) abstracted from ANT as outcome. We did
not observe any statistically significant association for these
outcomes with any of indicators of green space exposure (SI
Appendix, Table S5), which was consistent with our observation
that these measures did not show any clear growth during the
study period.
We conducted a number of sensitivity analyses as described in
SI Appendix that showed the robustness of our findings to al-
ternative definition of total surrounding greenness index and
commuting greenness and to including a range of relevant
covariates in models (e.g., socioeconomic indicators and condi-
tion of venue at the time of cognitive tests).
Mediating Role of Traffic-Related Air Pollution. The Spearmans
correlation coefficients between school EC levels and greenness
within and surrounding school boundaries were 0.62 and 0.66
(P<0.01), respectively. Adding EC to models explained 2065%
of associations between school greenness and 12-mo progress in
cognitive functions (Table 3). Including EC reduced effect sizes
in all models. EC made the associations between school surrounding
greenness and superior working memory and between greenness
within and surrounding school boundaries and inattentiveness much
smaller and statistically nonsignificant (Table 3).
To our knowledge, this is the first epidemiological study to re-
port on the impact of exposure to green space on cognitive de-
velopment in schoolchildren. School and total surrounding
greenness index were associated with enhanced 12-mo progress
in indicators of working memory and superior working memory
and greater 12-mo reduction in inattentiveness. Commuting
greenness was also associated with better 12-mo progress in
working memory. Adding EC to our models explained 2065%
of our estimated associations between green spaces and 12-mo
cognitive development.
Interpretation of Results. Over a 12-mo period, we observed that
an IQR exposure increment in total surrounding greenness index
was associated with a 5% increase in the progress of working
memory, a 6% increase in the progress of the superior working
memory, and a 1% reduction of inattentiveness. Among our
assessed exposure measures, we observed the strongest associa-
tions for greenness within or surrounding school boundaries.
Children spend a considerable part of their active daily time at
schools and green exercisehas been related to better mental
health (27). Furthermore, the combination of physical activity in
school with daily peaks of TRAPs in urban areas that often coincide
with school time could result in a considerable inhaled dose of air
pollutants at school. Consistently, in our other BREATHE analysis
oftheimpactofTRAPsoncognitive development using the same
measures of cognitive development as in this study, we also ob-
served stronger associations for levels at school compared with
those at home (5). Therefore, the ability of school greenness in
reducing pollutant levels (4) might explain, in part, why we observed
the strongest associations for school greenness.
We found some indications for an enhanced 12-mo progress in
working memory associated with commuting greenness. Because
of the strong correlation between greenness surrounding school
boundaries and commuting greenness, it was not possible to
determine the independent impact of commuting greenness (i.e.,
whether commuting greenness is a surrogate for school sur-
rounding greenness). Therefore, our findings for commuting
greenness should be interpreted with caution. To the best of our
knowledge, this study is the first reporting on the potential im-
pact of commuting greenness on health in general and on cog-
nitive development in particular. We hypothesize that green
exercise and visual access to greenness might underlie such an
association, if any.
The beneficial associations for 12-mo progress in cognitive
functions were stronger than those at baseline. Baseline esti-
mates reflected the association between cognitive test scores at
the first visit and the cumulative green space exposure preceding
the study period, whereas our exposure assessment was based
Table 1. Description of the cognitive outcomes in children [median (25th75th %)]
Visit n
(mean), y
Working memory (WM)
(two-back numbers), d*
Superior WM
(three-back numbers), d*
First visit 2,278 8.5 206 (129, 360) 112 (53, 171) 271 (205, 338)
Second visit 2,425 8.7 221 (129, 392) 112 (59, 190) 250 (186, 321)
Third visit 2,347 9.1 234 (129, 392) 128 (59, 190) 247 (183, 317)
Fourth visit 2,307 9.4 253 (152, 392) 129 (64, 210) 228 (165, 294)
*The n-back dis a measure of detection subtracting the normalized false alarm rate from the hit rate [(Z hit rate Z false alarm rate) ×100].
Hit reaction time SE (HRT-SE), SE of reaction time for correct responses as a measure of response speed consistency throughout the test.
Dadvand et al. PNAS
June 30, 2015
vol. 112
no. 26
on the home address of participants and the school they were
attending during the study period, not including potential prior
different addresses or schools to their current ones. Part of our
observed larger estimates for 12-mo progress might therefore
reflect better characterization of exposure, but it could also be
due to the window of vulnerability for these high executive func-
tions that develop significantly during the primary school age
(1214). This window of vulnerability might also explain why we
observed the strongest associations for 12-mo progress in superior
working memory that develops considerably during this period.
We did not observe any statistically significant difference in
12-mo progress in working memory and superior working
memory (for which we found associations with green space ex-
posure) between strata of maternal education. Moreover, further
adjustment of our analyses for other indicators of SES like pa-
rental employment, marital status, and ethnicity (SI Appendix, SI
Methods) did not change the interpretation of our findings no-
tably. Furthermore, removing SES indicators (maternal educa-
tion and neighborhood SES) from our fully adjusted models did
not result in a considerable change in the interpretation of our
findings (SI Appendix, Table S6). Additionally, we did not ob-
serve any statistically significant effect modification by maternal
education or neighborhood SES for our associations (P>0.1).
These observations might suggest that our results were unlikely
to have been affected by residual SES confounding.
Available Evidence and Potential Underlying Mechanisms. We are
not aware of previous epidemiological studies on the impact of
green space exposure on cognitive development in schoolchildren;
therefore, it is not possible to compare our findings with those of
others. Our findings, however, are consistent with several previous
observations. Residential surrounding greenness has been related
to better mental health including lower risk of depression and
anxiety in children (28). Higher school greenness has been asso-
ciated with better student performance at schools (29). Experi-
mental studies have shown walking in nature or watching photos
of nature could improve directed-attention abilities in adults (30)
and have therapeutic effectson attention deficit hyperactivity
disorder symptoms in children (3134). Our previous cross-sec-
tional analysis of BREATHE participants showed a protective
impact of home and school greenness on behavioral problems
including hyperactivity and inattention (35). That analysis was
based on behavioral screening questionnaires rated by teachers
and parents. In those questionnaires behavioral aspects that
characterized hyperactivity/inattention were modestly correlated
(Spearmans correlation coefficients ranging between 0.18 and 0.23)
with the ANT inattentiveness score (at baseline) used in this study.
A study by Wells (2000) reported that relocation to residences with
higher naturalnessimproved cognitive function in a sample of 17
children (36). In an analysis of BREATHE schools, we observed
that higher greenness inside and surrounding school boundaries was
associated with lower TRAPs levels at schools (5), in line with our
other study showing lower levels of personal exposure to TRAPs
(based on personal monitors) associated with higher residential
surrounding greenness in Barcelona (22). Another BREATHE
analysis, using the same cognitive measures as the current study,
demonstrated that higher levels of TRAPs at school were associated
with diminished 12-mo cognitive progress (5). Thus, reduction of
exposure to TRAPs associated with higher greenness could have
partly underlain our observed associations. Consistently, in the
current analysis we observed that including a TRAP (EC) in our
models could explain one-fifth to two-thirds of the associations,
suggesting that our observed beneficial associations between green-
ness exposure and cognitive development could have been partly
also suggest that other mechanisms may account for 3580% of our
observed associations that was not explained by reduction in TRAP
exposure. Higher ambient noise has been related with adverse im-
pacts on cognitive development (7). The ability of green spaces to
Fig. 1. Twelve-month progress (with 95% confidence bands) in superior
working memory for participants with the first (low greenness) and third
(high greenness) tertiles of greenness within the school boundaries.
Table 2. Adjusted difference (95% confidence interval) in baseline and 12-mo progress of working memory, superior working
memory, and inattentiveness per one interquartile range (IQR) change in greenness
Surrounding greenness
Working memory
(2-back number stimuli, d)
Superior working memory
(3-back number stimuli, d)
(HRT-SE, ms)
Median (IQR) Baseline Progress Baseline Progress Baseline Progress
Home 0.091 (0.053) 0.2 (-3.8, 4.2) 0.7 (-2.6, 4.1) 0.6 (-2.5, 3.7) 0.1 (-2.7, 2.6) 2.0 (-1.4, 5.4) 0.7 (-3.1, 1.7)
Within 0.094 (0.085) 0.3 (6.8, 7.4) 9.8 (5.2, 14.0)* 0.9 (5.0, 6.8) 6.9 (3.4, 10.0)* 4.0 (12.0, 4.0) 3.4 (6.6, 0.2)*
0.100 (0.120) 3.2 (4.3, 11) 9.5 (4.5, 15.0)* 1.5 (4.8, 7.8) 6.3 (2.3, 10.0)* 5.1 (14.0, 3.6) 3.7 (7.3, 0.1)*
Commuting 0.100 (0.062) 1.5 (3.5, 6.6) 4.9 (1.0, 8.8) * 3.5 (0.6, 7.5) 3.1 (0.0, 6.1) 0.2 (4.5, 4.9) 1.2 (4.0, 1.7)
Total surrounding
greenness index
0.094 (0.073) 0.0 (6.9, 6.5) 9.8 (5.0, 15.0)* 1.7 (4.4, 7.8) 6.7 (2.8, 11.0)* 2.4 (9.8, 4.9) 3.9 (7.4, 0.4)*
Difference adjusted for age, sex, maternal education, and residential neighborhood socioeconomic status with school and subject as nested random effects.
Fifty-meter buffer around school boundaries.
| Dadvand et al.
reduce noise (6) might therefore explain a part of our observed
associations (37). Moreover, proximity to green spaces has been
reported to increase physical activity (38), and physical activity has
been associated with better cognitivefunctioninchildren(9).Fur-
thermore, parental psychological stress and depression have been
reported to be adversely associated with cognitive development in
their children (39) and exposure to green space has been associated
with evidence of stress restorative effects and reduced depression in
adults (3, 28). A growing body of evidence also suggests that a failure
of the immunoregulatory pathways due to a reduced exposure to
macroorganisms and microorganisms in Westernized populations
might play a role in impairment of brain development (10, 40) with
childhood as a particular window of vulnerability (41). Therefore,
the ability of outdoor surrounding greenness to enhance immuno-
regulation-inducing microbial input from the environment (10)
could have been another mechanism underlying our observed as-
sociation between greenness exposure and cognitive development.
Implications for Policymakers. Approximately one-half of the world
population lives in cities, and it is projected that by 2030, three of
every five persons will live in urban areas worldwide (42). Urban
areas are characterized by a network of nonnatural built-up in-
frastructures with increased pollutant levels and less green en-
vironments (43). Childrens exposure to these pollutants such as
air pollution and noise has been associated with detrimental
impacts on their cognitive development. Our findings suggest for
a beneficial impact of green space exposure on cognitive de-
velopment, with part of this effect resulting from buffering
against such urban environmental pollutants. This impact was
more evident for surrounding greenness at school and for
working memory and superior working memory, which are pre-
dictors of learning and academic attainment (44). Schoolchildren
with a superior working memory progress of less than one-10th
of a percentile (45) of the distribution can be classified as im-
paired superior working memory progress. Our results suggest that
if schools increased greenness within their boundaries by the ob-
served IQR (Fig. 1), then 8.8% of children with impaired superior
working memory progress would move out of this category. Our
findings, therefore, hold importance for policymakers when trans-
lating evidence into feasible and achievable targeted interventions
such as improving greenness at schools, given that improved cog-
nitive development in children attending schools with more green-
ness could result in an advantage in mental capital, which, in turn,
would have lasting effects through the life-course.
Strengths and Limitations of Study. This study was based on re-
peated computerized tests of cognitive development to quantify
different aspects of cognitive development in study participants.
These tests have been reported to have acceptable internal
consistency, reasonable factorial structure, and good criterion
validity and statistical dependencies for use in general population
(46). We applied one of the most comprehensive approaches to
date to assess exposure to green space by characterizing the
outdoor surrounding greenness at home and school and during
commuting by using high-resolution (5 m ×5 m) satellite data
on greenness, enabling us to account for small-area green spaces
(e.g., home gardens, street trees, and green verges) in a stan-
dardized way.
Our study also faced some limitations. The generalizability of
our findings might have been affected by selection bias in that
those participants participated in BREATHE were different
from those not participated with respect to SES. Approximately
58% of mothers in our study population had a university degree,
which was higher that the regional average of 50% among
women between 25 and 39 y old living in Barcelona (47). We did
not, however, observe any indication of effect modification by
maternal education in our associations. Moreover, the Urban
Vulnerability Index of the schools was not associated with school
participation rate (Spearmans correlation coefficient =0.09, P=
0.61); these observations might suggest that the socioeconomic
status was less likely to be a major predictor of participating in
the study. Similarly, school greenness was not associated with
participation rate at schools (Spearmans correlation coefficients
of 0.06 with Pvalue =0.72 for greenness within school
boundaries and 0.13 with Pvalue =0.43 for greenness sur-
rounding schools). Our exposure assessment focused on expo-
sure during the school age, overlooking other potential windows
of susceptibility such as prenatal and preschool periods. In-
vestigating these windows of susceptibility presents an opportu-
nity for future studies. By using an NDVI map obtained at a
single point in time (2012), we effectively assumed that the
spatial distribution of NDVI across our study region remained
constant over the study period (2012). The findings of our pre-
vious studies support the stability of the NDVI spatial contrast
over seasons and years (21, 48). Finally, data were not available
for some potentially relevant confounders, such as parental
mental health status.
Exposure to outdoor surrounding greenness was associated with
a beneficial impact on cognitive development in schoolchildren.
Table 3. Difference (95% confidence interval) in 12-mo cognitive trajectory per one
interquartile range change in greenness estimated by main analyses and models further
including school indoor elemental carbon (EC) interaction with age
Outcomes/exposures Main analyses
Further adjusted for EC
% explained
Working memory
Within school 9.8 (5.2, 14.0)* 8.7 (2.5, 15.0)* 20.4
Surrounding school 9.5 (4.5, 15.0)* 6.9 (0.9, 13.0)* 27.4
Superior working memory
Within school 6.9 (3.4, 10.0)* 4.9 (0.1, 9.8)* 29.0
Surrounding school
6.3 (2.3, 10.0)* 3.3 (-1.5, 8.1) 47.6
Within school 3.4 (-6.6, -0.2)* 1.2 (-5.6, 3.2) 64.7
Surrounding school 3.7 (-7.3, -0.1)* 1.8 (-6.1, 2.5) 51.4
Adjusted for age, sex, maternal education, and residential neighborhood socioeconomic status with school and
subject as nested random effects.
Estimates per 0.085 and 0.120 change respectively in greenness within and surrounding school boundaries (i.e.,
1-interquartile change).
Fifty-meter buffer around school boundaries.
Dadvand et al. PNAS
June 30, 2015
vol. 112
no. 26
These associations were only partly mediated by reduction in
TRAP levels, suggesting that other mechanisms likely underlie
this association. Our observed beneficial associations were
consistent for working memory, superior working memory, and
inattentiveness and were more evident for greenness at school.
Further studies are warranted to replicate our findings in
other settings with different climates and to investigate other
cognitive functions with different windows of susceptibility
such as prenatal and preschool periods.
ACKNOWLEDGMENTS. We thank all the families and schools participating in
the study for their altruism and their collaboration; Xavier Mayoral for the
technical support of the n-back test; and Cecilia Persavento, Judit Gonzalez,
Laura Bouso, and Pere Figueras for conducting the field work. The research
leading to these results has received funding from the European Research
Council (ERC) under ERC Grant Agreement 268479the BREATHE project.
The research (PHENOTYPE) leading to the methodology applied for the ex-
posure assessment in this study has received funding from the European
Communitys Seventh Framework Program (FP7/2007-2013) under Grant
Agreement 282996. P.D. is funded by Ramón y Cajal Fellowship RYC-2012-
10995 awarded by the Spanish Ministry of Economy and Competitiveness.
1. Kahn PH, Kellert SR (2002) Children and Nature: Psychological, Sociocultural, and
Evolutionary Investigations (MIT Press, Cambridge, MA).
2. Kellert SR (2005) Building for Life: Designing and Understanding the Human-Nature
Connection (Island, Washington).
3. Bowler DE, Buyung-Ali LM, Knight TM, Pullin AS (2010) A systematic review of evi-
dence for the added benefits to health of exposure to natural environments. BMC
Public Health 10:456.
4. Dadvand P, et al. (2015) The association between greenness and traffic-related air
pollution at schools. Sci Total Environ 523:5963.
5. Sunyer J, et al. (2015) Association between traffic-related air pollution in schools and
cognitive development in primary school children: A prospective cohort study. PLoS
Med 12(3):e1001792.
6. Gidlöf-Gunnarsson A, Öhrström E (2007) Noise and well-being in urban residential
environments: The potential role of perceived availability to nearby green areas.
Landsc Urban Plan 83(2):115126.
7. Klatte M, Bergström K, Lachmann T (2013) Does noise affect learning? A short review
on noise effects on cognitive performance in children. Front Psychol 4:578.
8. James P, Banay RF, Hart JE, Laden F (2015) A review of the health benefits of
greenness. Curr Epidemiol Reports 2(2):131142.
9. Fedewa AL, Ahn S (2011) The effects of physical activity and physical fitness on
childrens achievement and cognitive outcomes: A meta-analysis. Res Q Exerc Sport
10. Rook GA (2013) Regulation of the immune system by biodiversity from the natural
environment: An ecosystem service essential to health. Proc Natl Acad Sci USA
11. Grandjean P, Landrigan PJ (2014) Neurobehavioural effects of developmental toxic-
ity. Lancet Neurol 13(3):330338.
12. Anderson P (2002) Assessment and development of executive function (EF) during
childhood. Child Neuropsychol 8(2):7182.
13. Ullman H, Almeida R, Klingberg T (2014) Structural maturation and brain activity
predict future working memory capacity during childhood development. J Neurosci
14. Østby Y, Tamnes CK, Fjell AM, Walhovd KB (2011) Morphometry and connectivity of
the fronto-parietal verbal working memory network in development. Neuro-
psychologia 49(14):38543862.
15. Jaeggi SM, Buschkuehl M, Perrig WJ, Meier B (2010) The concurrent validity of the
N-back task as a working memory measure. Memory 18(4):394412.
16. Rueda MR, Rothbart MK, McCandliss BD, Saccomanno L, Posner MI (2005) Training,
maturation, and genetic influences on the development of executive attention. Proc
Natl Acad Sci USA 102(41):1493114936.
17. Rueda MR, et al. (2004) Development of attentional networks in childhood. Neuro-
psychologia 42(8):10291040.
18. Shelton JT, Elliott EM, Matthews RA, Hill BD, Gouvier WD (2010) The relationships of
working memory, secondary memory, and general fluid intelligence: Working
memory is special. J Exp Psychol Learn Mem Cogn 36(3):813820.
19. Conners CK, Staff MHS (2000) ConnersContinuous Performance Test II: Computer
Program for Windows Technical Guide and Software Manual (Mutli-Health Systems,
North Tonwanda, NY).
20. Weier J, Herring D (2011) Measuring Vegetation (NDVI & EVI) (Natl Aeronaut Space
Admin, Greenbelt, MD).
21. Dadvand P, et al. (2012) Surrounding greenness and pregnancy outcomes in four
Spanish birth cohorts. Environ Health Perspect 120(10):14811487.
22. Dadvand P, et al. (2012) Surrounding greenness and exposure to air pollution during
pregnancy: An analysis of personal monitoring data. Environ Health Perspect 120(9):
23. Spanish Ministry of Public Works (2012) Atlas of Urban Vulnerability in Spain.
Methodology and Contents, ed Aja AH (Spanish Ministry of Public Works, Madrid).
24. Preacher KJ, Kelley K (2011) Effect size measures for mediation models: Quantitative
strategies for communicating indirect effects. Psychol Methods 16(2):93115.
25. Amato F, et al. (2014) Sources of indoor and outdoor PM2.5 concentrations in primary
schools. Sci Total Environ 490:757765.
26. Rivas I, et al. (2014) Child exposure to indoor and outdoor air pollutants in schools in
Barcelona, Spain. Environ Int 69:200212.
27. Thompson Coon J, et al. (2011) Does participating in physical activity in outdoor
natural environments have a greater effect on physical and mental wellbeing than
physical activity indoors? A systematic review. Environ Sci Technol 45(5):17611772.
28. Maas J, et al. (2009) Morbidity is related to a green living environment. J Epidemiol
Community Health 63(12):967973.
29. Wu C-D, et al. (2014) Linking student performance in Massachusetts elementary
schools with the greennessof school surroundings using remote sensing. PLoS ONE
30. Berman MG, Jonides J, Kaplan S (2008) The cognitive benefits of interacting with
nature. Psychol Sci 19(12):12071212.
31. van den Berg AE, van den Berg CG (2011) A comparison of children with ADHD in a
natural and built setting. Child Care Health Dev 37(3):430439.
32. Taylor AF, Kuo FE (2009) Children with attention deficits concentrate better after
walk in the park. J Atten Disord 12(5):402409.
33. Taylor AF, Kuo FE, Sullivan WC (2001) Coping with ADD: The surprising connection to
green play settings. Environ Behav 33(1):5477.
34. Kuo FE, Taylor AF (2004) A potential natural treatment for attention-deficit/hyper-
activity disorder: Evidence from a national study. Am J Public Health 94(9):15801586.
35. Amoly E, et al. (2014) Green and blue spaces and behavioral development in Barce-
lona schoolchildren: The BREATHE project. Environ Health Perspect 122(12):
36. Wells NM (2000) At home with nature effects of greenness on childrens cognitive
functioning. Environ Behav 32(6):775795.
37. Stansfeld SA, et al.; RANCH study team (2005) Aircraft and road traffic noise and
childrens cognition and health: A cross-national study. Lancet 365(9475):19421949.
38. Lee AC, Maheswaran R (2011) The health benefits of urban green spaces: A review of
the evidence. J Public Health (Oxf) 33(2):212222.
39. Ramchandani P, Psychogiou L (2009) Paternal psychiatric disorders and childrens
psychosocial development. Lancet 374(9690):646653.
40. Rook GAW, Lowry CA, Raison CL (2013) Microbial Old Friends, immunoregulation
and stress resilience. Evol Med Public Health 2013(1):4664.
41. Rook GAW, Lowry CA, Raison CL (April 13, 2014) Hygiene and other early childhood
influences on the subsequent function of the immune system. Brain Res, 10.1016/j.
42. Martine G, Marshall A (2007) State of World Population 2007: Unleashing the Po-
tential of Urban Growth (United Nations Popul Fund, New York).
43. Escobedo FJ, Kroeger T, Wagner JE (2011) Urban forests and pollution mitigation:
Analyzing ecosystem services and disservices. Environ Pollut 159(8-9):20782087.
44. Alloway TP, Alloway RG (2010) Investigating the predictive roles of working memory
and IQ in academic attainment. J Exp Child Psychol 106(1):2029.
45. Lezak MD, Howieson DB, Loring DW, Hannay HJ, Fischer JS (2004) Neuropsychological
Assessment (Oxford Univ Press, New York).
46. Forns J, et al. (2014) The n-back test and the attentional network task as measures of
child neuropsychological development in epidemiological studies. Neuropsychology
47. Barcelona City Council (2013) Statistical Yearbook of Barcelona City. Year 2013.
(Barcelona City Council, Barcelona).
48. Dadvand P, et al. (2014) Inequality, green spaces, and pregnant women: Roles of
ethnicity and individual and neighbourhood socioeconomic status. Environ Int 71:
| Dadvand et al.
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Background Autism spectrum disorder (ASD) incidence has increased in past decades. ASD etiology remains inconclusive, but research suggests genetic, epigenetic, and environmental contributing factors and likely prenatal origins. Few studies have examined modifiable environmental risk factors for ASD, and far fewer have examined protective exposures. Greenspace has been associated with positive child development, but very limited greenspace research has examined ASD risk or prenatal exposures. Only one ecological study in 2017 has evaluated the association between greenspace and ASD, observing protective benefits. Greenspace may have direct effects on ASD risk and indirect effects by reducing air pollution exposure, a growing suspected ASD risk factor. Objectives To measure the association between prenatal greenspace exposure and ASD risk and examine if reduced air pollution levels in areas of higher greenspace mediate this association. Methods We linked a population-based birth cohort of all deliveries in Metro Vancouver, Canada, from 2004 to 2009, with follow-up to 2014. Diagnoses were based on Autism Diagnostic Observation Schedule and Autism Diagnostic Interview-Revised instruments. Greenspace was quantified as the average of the annual mean Normalized Difference Vegetation Index (NDVI) within a 250 m buffer of a residential postal code. Air pollutant exposures—particulate matter with a diameter less than 2.5 µm (PM2.5), nitric oxide (NO), and nitrogen dioxide (NO2)—were derived from previously developed and temporally adjusted land use regression models. We estimated air pollutant exposures as the mean concentration per month during pregnancy. We calculated odds ratios (ORs) using logistic regression per NDVI interquartile range (IQR) increase, adjusting for child sex, birth month and year, maternal age and birthplace, and neighborhood-level urbanicity and income. To estimate the health impact of greenspace on ASD at the population level, we used the logistic regression model and marginal standardization to derive risk differences (RDs). Lastly, to quantify the mediating effect of greenspace on ASD risk through air pollution reduction, we used marginal structural models and a potential outcomes framework to calculate marginal risk differences (RDs) to decompose the total effect of greenspace on ASD into natural direct and indirect effects. Results Of 129,222 births, 1,921 (1.5%) children were diagnosed with ASD. The adjusted OR for ASD per NDVI IQR (0.12) increase was 0.96 (95% CI: 0.90, 1.02) in 250 m buffer zones and 0.94 (95% CI: 0.89, 1.00) in 100 m buffer zones. On the additive scale, the adjusted RDs were null. Natural direct, natural indirect, and total effect RDs were null for PM2.5, NO, and NO2 mediation models. Conclusion Prenatal greenspace exposure was associated with reduced odds of ASD, but in the additive scale, this effect was null at the population level. No mediating effect was observed through reduced air pollution, suggesting that air pollution may act as a confounder rather than as a mediator.
An increasing body of evidence has linked greenspace and various health outcomes in children and adolescents, but the conclusions were inconsistent. For this review, we comprehensively summarized the measurement methods of greenspace, resultant health outcomes, and potential mechanisms from epidemiological studies in children and adolescents (aged ≤19 years). We searched for studies published and indexed in MEDLINE and EMBASE (via Ovid) up to April 11, 2022. There were a total of 9,291 studies identified with 140 articles from 28 countries finally assessed and included in this systematic review. Over 70% of the studies were conducted in highly urbanised countries/regions, but very limited research has been done in low-and middle-income countries and none in Africa. Measures of greenspace varied. Various health outcomes were reported, including protective effects of greenspace exposure on aspects of obesity/overweight, myopia, lung health, circulatory health, cognitive function, and general health in children and adolescents. The associations between greenspace exposure and other health outcomes were inconsistent, especially for respiratory health studies. We pooled odds ratios (OR) using random-effects meta-analysis for health outcomes of asthma (OR = 0.94, 95%CI: 0.84 to 1.06), allergic rhinitis (OR = 0.95; 95% CI: 0.73 to 1.25), and obesity/overweight (OR = 0.91, 95%CI: 0.84 to 0.98) with per 0.1 unit increase in normalized difference in vegetation index (NDVI). These associations have important implications for the assessment and management of urban environment and health in children and adolescents.
Exposure to natural environments has a range of health benefits, including enhancing psychological restoration and cognitive development. While there are various explanations on the causes for the benefits of the natural exposure, such as less air pollution and noise, more physical activity, stronger social interactions, or even more diverse microbial community, etc., this study has zeroed in on the air quality of the natural environment. In addition to low-level pollution, what makes the natural air superior remains unclear. To this end, we conducted a series of psychological evaluation and cognitive tests on a couple of subjects in a national forest park in southwest China. Based on the results, we built an artificial chamber where selected air parameters can be independently manipulated and carried out similar tests in the chamber. We came to the following conclusion. (1) Exposure to real natural environment demonstrated tangible benefits for cognitive performances and mental states and the benefits can be obtained to some extent in the artificial environment by creating air qualities similar to the air in the natural environment. (2) Scents in natural environments may be one of the key beneficial factors. (3) Adopting proper cognitive test is critical for distinguishing the differences made by the natural exposure. Working memory showed marked responses to the natural exposure.
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Abstract Background: Urban green space planning has a special comprehensiveness. There are few fields of science that are so interrelated to different scientific disciplines. The purpose of this study is to express the relationship between urban green space design and planning with sports, health, and community welfare, and to emphasize the benefits of green space sports and the basic principles that should be considered by designers. Methods: The electronic search strategy to extract data on research background was created by the authors and performed using research databases such as Scopus, Web of Science, PubMed, and Google Scholar. The search terms "green space", "sport" and "health" and their types were queried and the obtained articles were classified. Results: A city with interconnected green spaces that provides safe opportunities for urban residents to be active and exercise, as well as improve stress, recreation, and social contact, will have healthier citizens. In such a city, there would be less demand for health services, a more robust economy would develop, and it would probably be more resistant to extreme environmental events such as heat waves and heavy rainfall. Conclusion: Outdoor sports increase physical health, mental health, well-being, active citizenship, reduce crime and anti-social behaviors, etc. Therefore, in designing urban spaces, it is necessary to endeavor to design the rooms and related elements in a way that causes desirable behaviors and prevents undesirable behaviors. This can be achieved using the available tools and means of urban design and applying useful and effective techniques.
In UK urban areas, due to ease of accessibility and convenience, many schools are located close to main busy roads. This often results in pollution hotspots around schools due to on-road vehicular pollutant emissions, especially during drop-off and pick-up times of students to and from schools. As well as being exposed to air pollutants in the school grounds, students are also exposed indoors. Thus, the need for scientific investigations focusing on mitigation of air pollution exposure indoors and outdoors for schools has significantly increased. The main objectives of the present study were therefore to: 1) obtain a clearer understanding of the extent of the air pollution problem inside and around schools and the factors that affect it; and 2) determine how it may be mitigated effectively using a range of interventions. These were achieved by carrying out monitoring of air pollution and associated parameters in and around three primary schools in London, UK. The study investigated the exposure reduction potential of various interventions, such as green screens, air purifiers, and school streets. A good understanding was obtained of the improvement in air quality that was achieved by the interventions both inside and outside the classrooms in the three schools. A green screen along the fences of the school reduced PM concentration by up to 44% in the playground. Installing air purifiers in a classroom resulted in lowering in PM concentration of about 57%. The school street initiative decreased PM concentration by about 36% in front of the school during pick up time. From the overall findings, practical recommendations have been included, as far as has been possible, that will enable formal guidance to be produced to help improve air quality in and around UK schools.
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Researchers are increasingly exploring how neighborhood greenness, or vegetation, may affect health behaviors and outcomes. Greenness may influence health by promoting physical activity and social contact; decreasing stress; and mitigating air pollution, noise, and heat exposure. Greenness is generally measured using satellite-based vegetation indices or land-use databases linked to participants’ addresses. In this review, we found fairly strong evidence for a positive association between greenness and physical activity and a less consistent negative association between greenness and body weight. Research suggests greenness is protective against adverse mental health outcomes, cardiovascular disease, and mortality, though most studies were limited by cross-sectional or ecological design. There is consistent evidence that greenness exposure during pregnancy is positively associated with birth weight, though findings for other birth outcomes are less conclusive. Future research should follow subjects prospectively, differentiate between greenness quantity and quality, and identify mediators and effect modifiers of greenness-health associations.
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Air pollution is a suspected developmental neurotoxicant. Many schools are located in close proximity to busy roads, and traffic air pollution peaks when children are at school. We aimed to assess whether exposure of children in primary school to traffic-related air pollutants is associated with impaired cognitive development. We conducted a prospective study of children (n = 2,715, aged 7 to 10 y) from 39 schools in Barcelona (Catalonia, Spain) exposed to high and low traffic-related air pollution, paired by school socioeconomic index; children were tested four times (i.e., to assess the 12-mo developmental trajectories) via computerized tests (n = 10,112). Chronic traffic air pollution (elemental carbon [EC], nitrogen dioxide [NO2], and ultrafine particle number [UFP; 10-700 nm]) was measured twice during 1-wk campaigns both in the courtyard (outdoor) and inside the classroom (indoor) simultaneously in each school pair. Cognitive development was assessed with the n-back and the attentional network tests, in particular, working memory (two-back detectability), superior working memory (three-back detectability), and inattentiveness (hit reaction time standard error). Linear mixed effects models were adjusted for age, sex, maternal education, socioeconomic status, and air pollution exposure at home. Children from highly polluted schools had a smaller growth in cognitive development than children from the paired lowly polluted schools, both in crude and adjusted models (e.g., 7.4% [95% CI 5.6%-8.8%] versus 11.5% [95% CI 8.9%-12.5%] improvement in working memory, p = 0.0024). Cogently, children attending schools with higher levels of EC, NO2, and UFP both indoors and outdoors experienced substantially smaller growth in all the cognitive measurements; for example, a change from the first to the fourth quartile in indoor EC reduced the gain in working memory by 13.0% (95% CI 4.2%-23.1%). Residual confounding for social class could not be discarded completely; however, the associations remained in stratified analyses (e.g., for type of school or high-/low-polluted area) and after additional adjustments (e.g., for commuting, educational quality, or smoking at home), contradicting a potential residual confounding explanation. Children attending schools with higher traffic-related air pollution had a smaller improvement in cognitive development.
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Various studies have reported the physical and mental health benefits from exposure to "green" neighborhoods, such as proximity to neighborhoods with trees and vegetation. However, no studies have explicitly assessed the association between exposure to "green" surroundings and cognitive function in terms of student academic performance. This study investigated the association between the "greenness" of the area surrounding a Massachusetts public elementary school and the academic achievement of the school's student body based on standardized tests with an ecological setting. Researchers used the composite school-based performance scores generated by the Massachusetts Comprehensive Assessment System (MCAS) to measure the percentage of 3rd-grade students (the first year of standardized testing for 8-9 years-old children in public school), who scored "Above Proficient" (AP) in English and Mathematics tests (Note: Individual student scores are not publically available). The MCAS results are comparable year to year thanks to an equating process. Researchers included test results from 2006 through 2012 in 905 public schools and adjusted for differences between schools in the final analysis according to race, gender, English as a second language (proxy for ethnicity and language facility), parent income, student-teacher ratio, and school attendance. Surrounding greenness of each school was measured using satellite images converted into the Normalized Difference Vegetation Index (NDVI) in March, July and October of each year according to a 250-meter, 500-meter, 1,000-meter, and 2000-meter circular buffer around each school. Spatial Generalized Linear Mixed Models (GLMMs) estimated the impacts of surrounding greenness on school-based performance. Overall the study results supported a relationship between the "greenness" of the school area and the school-wide academic performance. Interestingly, the results showed a consistently positive significant association between the greenness of the school in the Spring (when most Massachusetts students take the MCAS tests) and school-wide performance on both English and Math tests, even after adjustment for socio-economic factors and urban residency.
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Background: Green spaces have been associated with improved mental health in children; however, available epidemiological evidence on their impact on child behavioral development is scarce. Objectives: We investigated the impact of contact with green spaces and blue spaces (beaches) on indicators of behavioral development and symptoms of attention deficit/hyperactivity disorder (ADHD) in schoolchildren. Methods: This study was based on a sample of 2,111 schoolchildren (7-10 years of age) from 36 schools in Barcelona in 2012. We obtained data on time spent in green spaces and beaches and Strengths and Difficulties Questionnaires (SDQ) from parents, and ADHD/DSM-IV questionnaires from teachers. Surrounding greenness was abstracted as the average Normalized Difference Vegetation Index (NDVI) in buffers of 100 m, 250 m, and 500 m around each home address. Proximity to green spaces was defined as living within 300 m of a major green space (≥ 0.05 km2). We applied quasi-Poisson mixed-effects models (with school random effect) to separately estimate associations between indicators of contact with green spaces and SDQ and ADHD total and subscale scores. Results: We generally estimated beneficial associations between behavioral indicators and longer time spent in green spaces and beaches, and with residential surrounding greenness. Specifically, we found statistically significant inverse associations between green space playing time and SDQ total difficulties, emotional symptoms, and peer relationship problems; between residential surrounding greenness and SDQ total difficulties and hyperactivity/inattention and ADHD/DSM-IV total and inattention scores; and between annual beach attendance and SDQ total difficulties, peer relationship problems, and prosocial behavior. For proximity to major green spaces, the results were not conclusive. Conclusion: Our findings support beneficial impacts of contact with green and blue spaces on behavioral development in schoolchildren.
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Proximity to road traffic involves higher health risks because of atmospheric pollutants. In addition to outdoor air, indoor air quality contributes to overall exposure. In the framework of the BREATHE study, indoor and outdoor air pollution was assessed in 39 schools in Barcelona. The study quantifies indoor and outdoor air quality during school hours of the BREATHE schools. High levels of fine particles (PM2.5), nitrogen dioxide (NO2), equivalent black carbon (EBC), ultrafine particle (UFP) number concentration and road traffic related trace metals were detected in school playgrounds and indoor environments. PM2.5 almost doubled (factor of 1.7) the usual urban background (UB) levels reported for Barcelona owing to high school-sourced PM2.5 contributions: [1] an indoor-generated source characterised mainly by organic carbon (OC) from organic textile fibres, cooking and other organic emissions, and by calcium and strontium (chalk dust) and; [2] mineral elements from sand-filled playgrounds, detected both indoors and outdoors. The levels of mineral elements are unusually high in PM2.5 because of the breakdown of mineral particles during playground activities. Moreover, anthropogenic PM components (such as OC and arsenic) are dry/wet deposited in this mineral matter. Therefore, PM2.5 cannot be considered a good tracer of traffic emissions in schools despite being influenced by them. On the other hand, outdoor NO2, EBC, UFP, and antimony appear to be good indicators of traffic emissions. The concentrations of NO2 are 1.2 times higher at schools than UB, suggesting the proximity of some schools to road traffic. Indoor levels of these traffic-sourced pollutants are very similar to those detected outdoors, indicating easy penetration of atmospheric pollutants. Spatial variation shows higher levels of EBC, NO2, UFP and, partially, PM2.5 in schools in the centre than in the outskirts of Barcelona, highlighting the influence of traffic emissions. Mean child exposure to pollutants in schools in Barcelona attains intermediate levels between UB and traffic stations.
Greenness has been reported to improve mental and physical health. Reduction in exposure to air pollution has been suggested to underlie the health benefits of greenness; however, the available evidence on the mitigating effect of greenness on air pollution remains limited and inconsistent. We investigated the association between greenness within and surrounding school boundaries and monitored indoor and outdoor levels of traffic-related air pollutants (TRAPs) including NO2, ultrafine particles, black carbon, and traffic-related PM2.5 at 39 schools across Barcelona, Spain, in 2012. TRAP levels at schools were measured twice during two one-week campaigns separated by 6months. Greenness within and surrounding school boundaries was measured as the average of satellite-derived normalized difference vegetation index (NDVI) within boundaries of school and a 50m buffer around the school, respectively. Mixed effects models were used to quantify the associations between school greenness and TRAP levels, adjusted for relevant covariates. Higher greenness within and surrounding school boundaries was consistently associated with lower indoor and outdoor TRAP levels. Reduction in indoor TRAP levels was partly mediated by the reduction in outdoor TRAP levels. We also observed some suggestions for stronger associations between school surrounding greenness and outdoor TRAP levels for schools with higher number of trees around them. Our observed reduction of TRAP levels at schools associated with school greenness can be of public importance, considering the burden of health effects of exposure to TRAPs in schoolchildren. Copyright © 2015 Elsevier B.V. All rights reserved.
Children spend a third of their day in the classroom, where air pollution levels may differ substantially from those outdoors due to specific indoor sources. Air pollution exposure assessments based on atmospheric particle mass measured outdoors may therefore have little to do with the daily PM dose received by school children. This study aims to investigate outdoor and indoor sources of PM2.5 measured at 39 primary schools in Barcelona during 2012. On average 47% of indoor PM2.5 measured concentrations was found to be generated indoors due to continuous resuspension of soil particles (13%) and a mixed source (34%) comprising organic (skin flakes, clothes fibers, possible condensation of VOCs) and Ca-rich particles (from chalk and building deterioration). Emissions from seven outdoor sources penetrated easily indoors being responsible for the remaining 53% of measured PM2.5 indoors. Unpaved playgrounds were found to increase mineral contributions in classrooms by 5-6μg/m(3) on average with respect to schools with paved playgrounds. Weekday traffic contributions varied considerably across Barcelona within ranges of 1-14μg/m(3) outdoor and 1-10μg/m(3) indoor. Indoors, traffic contributions were significantly higher (more than twofold) for classrooms with windows oriented directly to the street, rather than to the interior of the block or to playgrounds. This highlights the importance of urban planning in order to reduce children's exposure to traffic emissions.