ArticlePDF AvailableLiterature Review

Noise Exposure During Pregnancy, Birth Outcomes And Fetal Development: Meta-Analyses Using Quality Effects Model

Authors:

Abstract and Figures

Background: Many women are exposed daily to high levels of occupational and residential noise, so the effect of noise exposure on pregnancy should be considered because noise affects both the fetus and the mother herself. However, there is controversy in the literature regarding the adverse effects of occupational and residential noise on pregnant women and their fetuses. Aim: The aim of this study was to conduct systematic review of previously analyzed studies, to add additional information omitted in previous reviews and to perform meta-analyses on the effects of noise exposure on pregnancy, birth outcomes and fetal development. Material and methods: Previous reviews and meta-analyses on the topic were consulted. Additionally, a systematic search in MEDLINE, EMBASE and Internet was carried out. Twenty nine studies were included in the meta-analyses. Quality effects meta-analytical model was applied. Results: Women exposed to high noise levels (in most of the studies ≥ 80 dB) during pregnancy are at a significantly higher risk for having small-for-gestational-age newborn (RR = 1.19, 95% CI: 1.03, 1.38), gestational hypertension (RR = 1.27, 95% CI: 1.03, 1.58) and infant with congenital malformations (RR = 1.47, 95% CI: 1.21, 1.79). The effect was not significant for preeclampsia, perinatal death, spontaneous abortion and preterm birth. Conclusion: The results are consistent with previous findings regarding a higher risk for small-for-gestational-age. They also highlight the significance of residential and occupational noise exposure for developing gestational hypertension and especially congenital malformations.
Content may be subject to copyright.
204
Folia Medica 2014; 56(3): 204-214
Copyright © 2014 Medical University, Plovdiv
doi: 10.2478/folmed-2014-0030
NOISE EXPOSURE DURING PREGNANCY, BIRTH OUTCOMES AND FETAL
DEVELOPMENT: META-ANALYSES USING QUALITY EFFECTS MODEL
Angel M. Dzhambov1*, Donka D. Dimitrova2, Elena D. Dimitrakova3
1Faculty of Medicine, 2Department of Health Care Management, Health Economics and Primary Care, Faculty
of Public Health, 3Department of Obstetrics and Gynecology, Faculty of Medicine, Medical University, Plovdiv,
Bulgaria
ШУМОВАЯ ЭКСПОЗИЦИЯ ВО ВРЕМЯ БЕРЕМЕННОСТИ, ИСХОДЫ РОДОВ,
ЭМБРИОНАЛЬНОЕ РАЗВИТИЕ; МЕТА-АНАЛИЗЫ, С ПРИМЕНЯЮЩИЕ QUALITY
EFFECTS MODEL
Ангел М. Джамбов1, Донка Д. Димитрова2, Елена Д. Димитракова3
1Медицинский факультет, 2Кафедра мениджмента здравоохрнения, экономики здравоохранения и общей
медицины, Факультет общественного здоровья, 3Кафедра акушерства и гинекологии, Медицинский
факультет, Медицинский университет, Пловдив, Болгария
ABSTRACT
BACKGROUND: Many women are exposed daily to high levels of occupational and residential noise, so the effect
of noise exposure on pregnancy should be considered because noise affects both the fetus and the mother herself.
However, there is a controversy in the literature regarding the adverse effects of occupational and residential
noise on pregnant women and their fetuses. AIM: The aim of this study was to conduct systematic review of previ-
ously analyzed studies, to add additional information omitted in previous reviews and to perform meta-analyses
on the effects of noise exposure on pregnancy, birth outcomes and fetal development. MATERIAL AND METHODS:
Previous reviews and meta-analyses on the topic were consulted. Additionally, a systematic search in MEDLINE,
EMBASE and Internet was carried out. Twenty nine studies were included in the meta-analyses. Quality effects
meta-analytical model was applied. RESULTS: Women exposed to high noise levels (in most of the studies
80 dB) during pregnancy are at a signi cantly higher risk for having small-for-gestational-age newborn (RR =
1.19, 95% CI: 1.03, 1.38), gestational hypertension (RR = 1.27, 95% CI: 1.03, 1.58) and infant with congenital
malformations (RR = 1.47, 95% CI: 1.21, 1.79). The effect was not signi cant for preeclampsia, perinatal death,
spontaneous abortion and preterm birth. CONCLUSION: The results are consistent with previous ndings regarding
a higher risk for small-for-gestational-age. They also highlight the signi cance of residential and occupational
noise exposure for developing gestational hypertension and especially congenital malformations.
Key words: noise exposure, pregnancy, birth outcomes, fetal development, meta-analysis, quality effects model
Folia Medica 2014; 56(3): 204-214
Copyright © 2014 Medical University, Plovdiv
РЕЗЮМЕ
ВВЕДЕНИЕ: Так как многие женщины живут и работают в условиях шума, то влияние шумовой экспозиции
на беременность следует принимать во внимание, так как шум имеет прямые и косвенные эффекты
на плод и мать. Несмотря на это в литературе существует противоречивое мнение относительно
нежелательных эффектов шума и дома, и на работе на беременных женщин и их плод. ЦЕЛЬ: Работа
ставит себе целью провести систематический обзор уже анализированных исследований, добавить
дополнительную информацию, невключенную до сих пор в имеющиеся обзоры и сделать мета-анализы
эффектов шумовой экспозиции на беременность, исход родов и развитие плода. МАТЕРИАЛ И МЕТОДЫ:
Авторы сделали справку со существующими обзорами на эту тему. Кроме того проведен систематический
поиск в MEDLINE, EMBASE и Internet. 29 исследований включено в мета-анализы; применена quality ef-
fects мета-аналитическая модель. РЕЗУЛЬТАТЫ: Женщины, экспонированные на высокие шумовые уровни
(в большинстве исследований 80 dB), во время беременности подвергнуты значительно более высокому
риску родов ребенка небольшой массы тела для гестационного возраста (RR = 1.19, 95% CI: 1.03, 1.38),
риску гестационной гипертонии (RR = 1.27, 95% CI: 1.03, 1.58) и риску родов ребенка с врожденными
мальформациями (RR = 1.47, 95% CI: 1.21, 1.79). Эффект не оказался значимым для преэклампсии,
перинатальной смерти, спонтанного аборта и преждевременных родов. ЗАКЛЮЧЕНИЕ: Результаты
подтверждают уже установленный повышенный риск родов маленького для гестационного возраста
ребенка; подчеркивают также значимость комунальной и трудовой шумовой экспозиции для развития
гестационной гипертонии и особенно для развития врожденных мальформаций.
Ключевые слова: шумовая экспозиция, исход беременности, развитие эмбриона, мета-анализы, quality
effects model Folia Medica 2014; 56(3): 204-214
© 2014 Все права защищены. Медицинский университет, Пловдив
Public Health Care
Article’s history: Received: 30 January 2014; Received in a revised form: 22 May 2014 Accepted: 01 June 2014
*Correspondence and reprint request to: A. Dzhambov, Faculty of Medicine, Medical University, Plovdiv;
E-mail: angelleloti@gmail.com; Mob.: 359 89 79 50 802
15A Vassil Aprilov St., 4002 Plovdiv, Bulgaria
205
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Noise Exposure During Pregnancy, Birth Outcomes and Fetal Development:
Meta-Analyses Using Quality Effects Model
INTRODUCTION
Noise pollution is continuing to grow as a result of
urbanization and industrialization.1 Eighty million
people in Europe alone are exposed to community
noise levels above 65 dB,2 and it has been estimated
that up to 2% of the gross domestic product as well
as one million healthy life years are lost every year
in Europe due to noise pollution3,4. Occupational
noise is also associated with adverse health outcomes:
hearing loss, performance impairment, cardiovascular
diseases and mental exhaustion.5 In 2000, as much
as 20% of all European workers were exposed to
noise so loud that it required raising their voice to
talk to other people.6 There are various risk groups
particularly sensitive to environmental noise and
one of those is pregnant women.
As a unique environmental stressor noise exerts
both direct and indirect effects on humans. Noise
higher than 85 dB might lead to permanent hearing
impairment.7 Because of its indirect effects noise is
considered a risk factor for hypertension, ischemic
heart disease, annoyance and sleep disturbance.8-12
Approximately 210 000 of all coronary incidents
in Europe every year can be attributed to traf c
noise exposure.13
As many women live and work in highly noisy
environments, noise exposure is in the focus of
attention of public health experts when pregnancy
is involved. Generally, some authors find that
women might have elevated risk of noise induced
cardiovascular alterations.14,15 Others even pro-
posed that the higher noise sensitivity of women
should be considered an independent risk factor
for cardiovascular diseases.16 If changes in cardio-
vascular and endocrine function occur under noise
conditions, they can have some adverse effects
on human pregnancy. The human body reacts to
environmental noise with a general stress response
mechanism leading to neuroendocrine and cardio-
cardiovascular alterations.17 It activates the amygdala,
some cortical limbic and hypothalamic centres18,
thus affecting synaptic links in the reticular forma-
tion and mesencephalon, as well as emotional and
cognitive pathways of perception through cortical
and subcortical structures19,20. Ultimately this leads
to stimulation of the sympathetic-adrenal axis.21
Stress-release of maternal catecholamine may in-
crease blood pressure and uterine reactivity and thus
decrease placental function leading to hypoxia of
the fetus.22 Maternal cortisol might pass through
the placental barrier and interfere in the regulation
of the fetal hypothalamic-pituitary-adrenal axis, or
stimulate the placenta to secrete corticotropin releas-
ing hormone.23 On other hand, as the intrauterine
environment is rich with externally generated noise
passing through the abdominal wall24, noise energy
might affect the fetus directly25,26. Sound is easily
transmitted to the fetus through the abdominal wall
which has an attenuation of about 10 dB or less
in the low frequency range.
However, there is a controversy in the literature
regarding the adverse effects of both occupational
and residential noise on pregnant women and their
fetuses. Some authors nd association with birth
defects, shortened gestation and decreased birth
weight, while others nd no effect.27 Recently a
systematic review by Hohmann et al.28 found no
evidence for effect of noise exposure on pregnancy,
birth outcomes or fetal development. It, however,
did not review all evidence that was present at that
moment. Previously the government of Quebec had
reported a thorough and extensive meta-analysis on
the effects of workplace noise on pregnancy and
found evidence suggesting that in the presence of
occupational noise exposure 85 dB pregnancy
leads to low birth weight for the gestational age, and
might possibly cause spontaneous abortion, preterm
birth, preeclampsia and gestational hypertension.29
Both these papers have their limitations: Hohmann
et al.28 applied only qualitative appraisal of the data
and did not include all available evidence, while
Croteau, et al.29 reviewed only studies dealing with
occupational noise. Although they adopted sophis-
ticated quality assessment methodology and used
meta-regressions, they adhered to the DerSimonian-
Laird random effects meta-analytical model, which
has been criticized for its limitations.30,31 Finally,
since the systematic literature searches of these
two studies were performed, new evidence on the
topic might have been accumulated.
AIM
In this paper we focus only on the effect of in-
trauterine noise exposure on pregnancy, birth out-
comes and fetal development. The aim of this study
was to perform a systematic review of previously
analyzed studies28,29, to add additional information
not included in previous research and to perform
meta-analyses on the effects of noise exposure on
pregnancy, birth outcomes and fetal development.
MATERIAL AND METHODS
SEARCH STRATEGY
This research was greatly facilitated by previously
published high quality papers on the topic.28,29 Most
206
A. Dzhambov et al
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
of the literature sources on the relationship noise
– pregnancy outcomes was readily collected, sum-
marized, reviewed and available from government
of Quebec’s report.29 Additionally, we carried out
systematic search in MEDLINE, EMBASE and gen-
erally the Internet using the search engines PubMed,
ScienceDirect and Google (studies published before
December 23, 2013). Two of the authors performed
the searches independently. English, Russian and
Spanish language articles were screened on three
levels: titles, abstracts and full-texts. Inclusion cri-
teria were: studies dealing with noise exposure as a
primary or secondary factor and its effect on preg-
nancy, intrauterine development or birth outcomes;
observational and experimental studies involving
humans or reviews/meta-analyses. Papers describing
research on hearing impairment due to fetal noise
exposure or research in intensive care units were
excluded as they were not in our scope. The fol-
lowing free-term keyword combinations were used:
“noise + pregnancy”, “ruido + embarazo” and “шум
+ беременность”. PubMed retrieved 653 results with
no lters applied while in ScienceDirect English
language search was limited to topics associated
with prenatal development, pregnancy outcomes and
intrauterine imaging diagnostics – 621 results were
retrieved in English, 278 in Spanish and none in
Russian. Additionally, Google search provided two
more papers in Spanish. Hand searching through the
reference list of a report of the American Academy
of Pediatrics32 provided ve articles not included
in previous reviews33-37. Hand search of the refer-
ence lists of articles available at the web-page of
Scandinavian Journal of Work, Environment &
Health retrieved ve more studies previously not
meta-analyzed.38-42 The abstract of Knipschild et
al.’s paper43 was retrieved and additional data about
it had been abstracted by Hohmann et al.28
Studies which, after careful consideration, were
deemed irrelevant to the topic were dropped from
further processing (for example, Heidam40). Due to
limited access to repository information, some of
the articles could not be retrieved in full-text and
if the abstract or previous reviews did not provide
suf cient data to assess their quality or calculate
effect size estimates, they were not included in
the meta-analyses.38,39 Inter-rater agreement for the
included studies was acceptable (Kappa = 0.74) and
any discrepancies were resolved after discussion
with a third expert.
QUALITY ASSESSMENT
Individual study quality assessment methodology was
adopted from Croteau et al.29 Brie y, their checklist
assigned a total of 18 points for perfectly credible
study for external and internal validity according to
the following elements: country where the study was
conducted, period when the study was conducted,
mode of selection of the population, participation
rate, de nition of the effect on pregnancy, mea-
surement of the effect on pregnancy, de nition of
noise exposure, selecting the comparison group,
measurements and covariates. For more detailed
information the reader is referred to Croteau, et
al.29 Individual study scores were recalculated as
relative shares from the maximum 18 points and
re-scaled between 0 for a low quality study and 1
for a perfectly scored.30,31
DATA EXTRACTION AND PROCESSING
Meta-analyses were performed to estimate the
effects of noise exposure (both occupational and
residential) during pregnancy on the risk for ges-
tational hypertension (blood pressure > 140/90 mm
Hg), fetal malformations, small-for-gestational-age
infants ( 2500 g/smaller than the 10th percentile),
preeclampsia, preterm birth ( 37 gestational week)
and perinatal death. Two of the studies had low
birth weight as outcome43,44, while the rest assessed
small-for-gestational-age infants according to the
classi cation of Croteau et al. Although these are
different entities, Croteau et al. used the results of
Peoples-Sheps et al.45 as representative of small-
for-gestational-age, while in fact they measured low
birth weight ( 2500 g). They used low birth weight
as a proxy for small-for-gestational-age claiming
that it could be the result of preterm birth, small
for gestational age, or both. Magann et al.46 on the
other hand, assessed intrauterine growth restriction,
but this outcome was also interpreted as small for
gestational age by Croteau, et al29. Hence, we felt
comfortable including the two studies mentioned
above44,43 along with the others representing small-
for-gestational-age infants.
MetaXL v.1.4 add-in for Excel (http://www.
epigear.com) was used to conduct the analyses.
Additional data imputation was performed with
Excel spreadsheets or by hand. Relative risks (RR)
were chosen as effect size estimates.
Twenty nine studies were included in the meta-
analyses. Initial data of about 24 of the studies43-67
were extracted from Croteau et al29. For the studies
that we retrieved in full text the effect size esti-
mates reported by Croteau et al. were con rmed.
However, careful read of their report reveals that
they actually mixed odds ratio (OR), RR and in
207
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Noise Exposure During Pregnancy, Birth Outcomes and Fetal Development:
Meta-Analyses Using Quality Effects Model
some occasions expected to observed ratio. Inter-
preting OR as RR leads to overestimation of the
effect. Moreover, when a straightforward estima-
tion of RR is an option given the original study
data, there is no reason to use OR as a substitute
to RR.68 On the other hand, using OR in this
case might be justi ed because it is adjusted for
relevant confounders like demographics, previous
pregnancies, socio-economic class, other exposures,
etc. Therefore, whenever possible we calculated the
adjusted RR from the original data in the studies
according to Zhang & Yu69, and when it was not,
we adhered to the adjusted OR. For the ve stud-
ies that we identi ed and have not been previously
meta-analyzed we calculated RR.33,41-43,70 Studies
with zero events in control group were included
in the meta-analyses in order to provide a more
conservative estimate of the effect size.49 In this
case the standard continuity correction of 0.5 was
used according to Cox, 1970 (cited by Friedrich et
al.71). When RR or OR were reported for several
noise exposure categories, those using the high-
est exposure as a cut point were included in the
meta-analyses.
All effect size estimates for the different out-
comes were entered into MetaXL which was set
to produce pooled RR. Of all data reported in the
studies we extracted the effect sizes adjusted for
most of the relevant confounders. The approach of
Zhang & Yu69 is criticized72 and it produces too
narrow 95% con dence intervals, but given that
most outcome measures in these meta-analyses
are relatively rare in the population and that in
environmental epidemiology we are often inter-
ested in the pooled point estimate rather than the
95% con dence intervals around it, we did not
expect that our ndings would be associated with
signi cant imprecision.
Quality effects meta-analytical model was applied.
According to Overton73 if the studies included in
the meta-analysis differ in systematic way from
the possible range in the population, they are not
representative of it and the random effects model
does not apply. Therefore, the quality effects model
proposed by Doi and Thalib was applied.30,31 It
uses a quality index Qi representing the probability
the judgment of that study is credible. From Qi
a study speci c composite is generated that takes
into consideration study speci c information and
its relationship to other studies to re-distribute
inverse variance weights.
Heterogeneity was explored using the chi-square
test. The quantity of heterogeneity across studies
was measured by the I2 statistic.74 According to
the I2 values, heterogeneity was considered low
(< 25%), moderate (25 – 50%) and high (> 50%).
Sensitivity analysis was performed by assessing
the contribution of individual studies to the sum-
mary effect estimate by excluding each trial, one
at a time, and computing meta-analysis estimates
for the remaining studies. Publication bias was
not assessed due to inter-study heterogeneity and
the limited number of studies included for each
individual outcome.75 Results were considered
statistically signi cant at p < 0.05. All analyses
were carried out with MS Excel v. 2010.
RESULTS
In this paper we will rst present a brief overview
of those studies previously not subject to systematic
review.33,41,42,67 Table 1 reports their characteristics
according to the quality assessment procedure of
Croteau, et al.29 For additional information regarding
the rest of the studies included in the meta-analyses
the reader is kindly asked to consult Croteau, et
al.29 and Hohmann et al.28
Of all included studies nine were case-con-
trol41,52,53,57-60,65,67, two were cross-sectional43,70,
four were cohort46,47,49,64, 13 were retrospec-
tive42,44,45,48,50,51,54-56,61-63,66 and one was ecological33.
(Ecological study was de ned as one using aggre-
gated data.) The sample sizes varied considerably
from 179 to 225 146. Small-for-gestational-age
was an outcome in 12 studies, preterm birth in
11, gestational hypertension in seven, spontaneous
abortion in ve, preeclampsia in three (Irwin et al.62
was included twice with results for nulliparous and
multiparous women), three assessed perinatal death
and ve - congenital malformations. Ten studies
assessed more than one outcome. Adjustments for
relevant confounders varied but they were to some
extent accounted for by the quality scores. Finally,
two studies were dealing with residential rather
than occupational noise exposure.
There is a 19% risk for small-for-gestational-age
if the mother has been exposed to 80 dB during
pregnancy (Fig. 1). All studies used a cut point of
approximately 80 dB risk noise exposure assessed
either by speci c question about the acoustic envi-
ronment at work or by quanti cation by industrial
hygienists. Sensitivity analysis revealed that by
excluding each study one at a time the pooled RR
remained signi cant in the range 1.16 – 1.27, with
the only exception of excluding McDonald et al.44
(RR = 1.15, 95% CI: 0.97, 1.36). However, most
of the studies used OR and this was one of the
208
A. Dzhambov et al
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Table 1. Characteristics of the studies not previously reviewed or meta-analyzed (description is given according to Croteau et al.29)
Study Design External
validity
(2) Population Effects on pregnancy Noise exposure Controlling for confound-
ers
Method of
selection
(2)
Response
rate
(2)
De nition
(1)
Measure
(1)
De nition
(1)
Control
group
(1)
Measure
(4)
Personal
factors
(2)
Other
exposures
(2)
Nurminen,
198942 Retrospective
study,
n = 1 475
Finland,
1976 –
1982, work-
ers
(2)
Mothers of
infants with
malforma-
tions
(2)
85%
(2) Gestational
hypertension
( 20 mmHg
increase)
(1)
Of cial
medical
les
(1)
Laeq (8 h)
80 dB
(1)
Laeq (8 h) <
80 dB
(1)
Industrial
hygienists as-
sessment and
self-report
job descrip-
tion
(4)
Age 35
yrs, previous
pregnancies,
smoking, al-
cohol, drugs/
infection in
1st trimester
(2)
Solvent
exposure,
physical
load
(2)
Bendok-
iene et al,
201170
Cross-sec-
tional,
n = 3 121
Lithuania,
2007 – 2009
(2)
Pregnant
women from
prenatal care
practices
(2)
79%
(0.5) Gestational
hypertension
(140 or 90
mm/Hg)
(1)
Measured
by physi-
cian
(1)
LAeq (24 h)
61 dB
(1)
LAeq (24 h)
< 61 dB
(1)
Noise map
data
(4)
Demograph-
ics, diseases,
social status,
marital status,
BMI, alcohol,
smoking (1.5)
None
(0)
Jones &
Tauscher,
197833
Ecological
(aggregated
data),
n = 225 146
North
America,
1970 – 1972
(2)
Births in the
population
close to an
airport
(2)
All
registered
births
(2)
Malformations
(excluding
polydactylia)
(1)
Of cial
medical
records
(1)
90 dB
(1) < 90 dB
(1) Noise map
contour
(4)
None
(0) None
(0)
Kurppa et
al, 198341 Case-control,
preliminary
results,
n = 2 094
Finland,
1976 – 1978
(2)
Mothers
exposed to
occupational
chemicals
and noise
pollution
during preg-
nancy (2)
95%
(2) Malformations
(1) Of cial
medical
records
(1)
82 dB
(1) < 82 dB
(1) Self-report
exposure and
hygienist as-
sessment
(4)
Matched
case-control
pairs
(2)
Solvents,
pesticides,
radiation,
metals, dis-
infectants
(2)
209
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Noise Exposure During Pregnancy, Birth Outcomes and Fetal Development:
Meta-Analyses Using Quality Effects Model
two studies for which we calculated unadjusted
RR, which might explain the discrepancies. The
main source of heterogeneity was McDonald et
al.55 As Croteau et al.29 point out, the studies of
McDonald et al. compared noise exposed workers
to the general population rather than to non-exposed
workers, which makes these studies a bit problem-
atic. Moreover, this 19% risk should be interpreted
with caution because of the overestimation of the
effect that occurs with OR.
In reference to preterm birth, the risk was not
signi cantly higher for women exposed to 80 dB
(Fig. 2). Pooled RR remained non-signi cant (1.03
– 1.07, p > 0.05) after each study was excluded
and the main sources of heterogeneity were the
studies of Peoples-Sheps et al.45 and Luke et al.57
Statistically signi cant risk for perinatal death
was not associated with noise exposure (Fig. 3).
It varied considerably remaining non-signi cant
(0.95 – 1.72, p > 0.05), and according to sensitiv-
ity analysis the positive effect was mostly due to
Hartikainen et al.’s results.49
Pooled RR for spontaneous abortion did not
reach statistical signi cance either (1.05 – 1.33,
p > 0.05) (Fig. 4) and all heterogeneity was due
to Hansteen at al.65 as its exclusion resulted in I2
= 0.00.
For preeclampsia the variability after excluding
individual studies was also considerable (0.93 –
1.23, p > 0.05) but signi cant pooled RR could
not be produced (Fig. 5).
Mothers exposed to high noise during pregnancy
had an elevated risk (27%) for gestational hyperten-
sion (Fig. 6). That effect became non-signi cant if
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 1. Forest plot on studies assessing the risk for small-for-gestational-age.
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 2. Forest plot on studies assessing the risk for preterm birth.
210
A. Dzhambov et al
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
the studies of Nurminen,42 Nurminen & Kurppa50,
Bendokiene et al.70 or Saurel-Cubizolles et al.61 were
excluded. Nevertheless, we are inclined to accept
that noise exposure during pregnancy is associated
with higher risk of gestational hypertension, not
only because for this outcome the majority of the
estimates were either reported as adjusted RR or
calculated as RR, thus being conservative, but also
because there is strong evidence for the association
of environmental noise with hypertension among
the general population.8,76
Finally, we found 47% increased risk for fetal
malformations in relation to intrauterine noise
exposure (Fig. 7). These studies were completely
homogenous and the pooled RR did not change
when sensitivity analysis was conducted (1.41 –
1.53, p < 0.05).
As this is a considerable risk, we took a closer
look at this outcome in particular. Out of ve stud-
ies assessing this outcome, two were reviewed by
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 3. Forest plot on studies assessing the risk for perinatal death.
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 4. Forest plot on studies assessing the risk for spontaneous abortion.
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 5. Forest plot on studies assessing the risk for preeclampsia.
211
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Noise Exposure During Pregnancy, Birth Outcomes and Fetal Development:
Meta-Analyses Using Quality Effects Model
Croteau et al.29 and three were added by us. The
study of Jones & Tauscher33 which had highest
weight was ecological using aggregated data to
compare the incidence of congenital abnormalities
in two populations – one living close to an airport
and exposed to 90 dB and another one living in
the city centre and exposed to lower noise levels.
This study had the highest number of cases (n =
225 146) in our meta-analyses, but due to lacking
covariates and the problems associated with ag-
gregated data in received 14 out of 18 points for
credibility. Moreover, as the authors noted, living
close to an airport is associated with various air
pollutants, which might be partly responsible for the
increased incidence of malformations. Nevertheless,
excluding this study controversially raised RR to
50%. The same applies to the other high-weighted
study included by us whose exclusion raised the
risk to 53%.41 Kurppa et al.’s study was assigned
18 out of 18 points for credibility.41 These ndings
lead us to suggest that calculating RR for these
studies is suf ciently conservative as we were
mainly concerned with the speci city of the pooled
RR. Moreover, the fact that we were not able to
compute RR for Zhang et al.51 and Kurppa et al.67
should not affect the results because congenital
malformation are very rare in human populations
(much lower than 10%).
DISCUSSION
KEY FINDINGS
These meta-analyses showed that intrauterine noise
exposure is signi cantly associated with higher risk
for small-for-gestational-age, gestational hyperten-
sion and congenital abnormalities. In reference to
preterm birth, preeclampsia, perinatal death and
spontaneous abortion the pooled RR did not permit
making such inferences, although for spontane-
ous abortion and preterm birth it was just failing
statistical signi cance. In comparison to the nd-
ings of previous research on the topic, we did not
con rm the conclusion of no association of noise
exposure with pregnancy or fetal development made
by Hohmann et al.28 The discrepancies might be
caused by the differences in included studies and
by the methods applied – purely qualitative vs.
meta-analysis. On the other hand, the only other
identi ed meta-analysis on the topic found suf -
cient evidence of association between occupational
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 6. Forest plot on studies assessing the risk for gestational hypertension.
Note. RR – Relative risk; Q, p and I2 –heterogeneity statistics
Figure 7. Forest plot on studies assessing the risk for congenital malformations.
212
A. Dzhambov et al
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
noise exposure during pregnancy and giving birth
to a small-for-gestational-age child (27%, meta-
regression).29 Thus via two different approaches
and research teams this effect was con rmed. Cro-
teau et al.29 also suspected an effect on gestational
hypertension, spontaneous abortion, preterm birth
and preeclampsia, but did not con rm it. Probably
the most prominent discordance between ndings
is the signi cant risk for congenital malformations
estimated in our study, while the available data did
not allow Croteau et al.29 to make conclusions about
congenital malformations. However, it is biologi-
cally plausible since the corticosteroids produced in
reaction to noise are toxic to the embryo and since
noise intensity of about 80 dB could increase the
hematoencephalic barrier’s penetrability.77
STRENGTHS AND LIMITATIONS
This study builds on previous systematic research.
We were able to include studies previously not
meta-analyzed or discussed and to extract new
data from studies which were previously reviewed.
Some of these studies reported results for residential
noise, which combined with those dealing with oc-
cupational noise reveal wider picture of this envi-
ronmental pollutant. In addition, adjusted RR were
calculated where possible which deems our results
more conservative and closer to the real effect of
noise exposure on pregnancy. However, human error
should always be considered given that only one of
the authors conducted the statistical tests. Probably
the main strength of these meta-analyses is the use
of quality effects model to estimate the pooled RR.
According to Doi78 the quality effects model should
replace the currently used random effects model as
it always outperforms it. The fact that we did not
include all quality estimates that the study of Cro-
teau et al.29 offered – for example, publication bias,
biological plausibility, precision statistic – should
not be particularly concerning because the quality
effects model requires only that quality scores rank
the analyzed studies with respect to de ciencies
rather than by xed function of bias or being a
function of quantitatively measured bias.78 In other
words, the quality appraisal and scores need not
be re ecting the actual credibility or limitations of
the studies, as long as they rank them according
to their relative strength of evidence in reference
to each other. Thus the weights are redistributed
away from lesser quality studies. Another issue
with this paper might be mixing together OR and
RR, but as stated, some of the effect sizes could
not be converted to RR. Although our approach for
calculating adjusted RR is criticized72, the arguments
refer mainly to common outcomes. Combining data
from occupational and residential settings might
also raise some concerns, because noise effects
are dependent on both sound intensity and the
frequency spectrum, as well as on the time pattern
of exposure and individuals’ activities which are
disturbed.79 Finally, the limited access to repository
content and the lack of external funding prevented
us from reviewing the full texts of some studies,
so we had to either rely on previously abstracted
data or leave them out of the analyses.
IMPLEMENTATION
The theory that variations in intrauterine environ-
ment might affect fetal development is increasingly
accepted.23 The results of this study might be used
to promote adequate strategies for screening and
prevention of noise-related pregnancy adverse out-
comes. These inferences will have to be replicated
by other meta-analyses and new eld studies and,
if found to be adequate, hypertension screening
programs and prenatal diagnostics will have to be
implemented and made priority for women work-
ing or dwelling in highly noisy environments. It
is true that the industrial development and mecha-
nization of all branches of industry have reduced
the number of women working in manufacture, for
example, which might be the cause for the limited
number of recently published studies assessing these
phenomena and their interrelationships. It is also
true that this does not apply with full strength to
poorer countries with limited advance in industrial
technology. Women are undertaking jobs that were
previously “the privilege of men” – bus drivers, train
engineers, heavy machinery operators, etc. – and this
keeps open the question whether they are actually
exposed to lower noise levels in comparison to 50
years ago. Moreover, residential noise is constantly
rising as a result of urbanization, population growth
and modern lifestyle. Factories, traf c, railway and
aircraft transportation, which are the major sources
of noise in woman’s life, are also producing toxic
gases which have distinct impact on fetal devel-
opment.80 Hence, quantifying the additive effect
of noise exposure will yield clearer picture and
provide guidance for health promotion and disease
prevention in pregnant women, since both noise
and air pollution can affect cardiovascular health
via different pathways.81
213
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
Noise Exposure During Pregnancy, Birth Outcomes and Fetal Development:
Meta-Analyses Using Quality Effects Model
CONCLUSIONS
The results con rm some previous ndings re-
garding a higher risk for small-for-gestational-age.
They also highlight the signi cance of residential
and occupational noise exposure for developing
gestational hypertension and especially congeni-
tal malformations when the mother is exposed to
noise levels 80 dB. These ndings will have to
be con rmed by new eld studies and, if found to
be adequate, hypertension screening programs and
prenatal diagnostics will have to be implemented
and made priority for women working or dwelling
in highly noisy environments.
REFERENCES
1. Lee CSY, Fleming GG. General Health Effects
of Transportation Noise. U.S. Department of
Transportation. Washington, DC; 2002. Retrieved
from: http://www.fra.dot.gov/downloads/RRDev/
health_Final.pdf. Accessed August 6, 2013.
2. European Community. Commission green paper on
future noise policy; 1996. Retrieved from: http://
ec.europa.eu/environment/noise/pdf/com_96_540.
pdf. Accessed: June 3, 2013.
3. WHO. European Centre for Environment and
Health. Burden of disease from environmental noise:
quanti cation of healthy life years lost in Europe.
Copenhagen: Regional Of ce for Europe; 2011.
Retrieved from: http://www.euro.who.int/__data/
assets/pdf_ le/0008/136466/e94888.pdf. Accessed
September 5, 2013.
4. WHO. Prevention of Noise-Induced Hearing Loss.
WHO-PDH Informal Consultation Report, 5, 7, 20;
1997. Retrieved from: http://www.who.int/pbd/deaf-
ness/en/noise.pdf. Accessed September 4, 2013.
5. WHO. Occupational noise: Assessing the burden of
disease from work-related hearing impairment at
national and local levels. Environmental Burden of
Disease Series, No. 9. WHO Document Production
Services, Geneva, Switzerland; 2004. Retrieved
from: http://www.who.int/quantifying_ehimpacts/
publications/en/ebd9.pdf. Accessed December 1,
2013.
6. European Foundation for the Improvement of Liv-
ing and Working Conditions. The Third European
survey on working conditions 2000 (ESWC); 2000.
Retrieved from: http://www.eurofound.europa.eu/
pubdocs/2001/21/en/1/ef0121en.pdf. Accessed Ja-
nuary 15, 2014.
7. Berglund B, Lindvall T, editors. Community Noise.
Archives of the Center for Sensory Research. 1995;
2:1-195. WHO. Retrieved from: http://www.who.
int/docstore/peh/noise/guidelines2.html. Accessed
January 7, 2014.
8. van Kempen E, Babisch W. The quantitative relation-
ship between road traf c noise and hypertension: a
meta-analysis. J Hypertens 2012;30:1075-86.
9. Sobotova L, Jurkovicova J, Stefanikova Z, et al.
Community response to environmental noise and
the impact on cardiovascular risk score. Sci Total
Environ 2010;408:1264-70.
10. Eriksson C, Rosenlund M, Pershagen G, et al. Air-
craft noise and incidence of hypertension. Epidemi-
ology 2007;18(6):716-21.
11. Öhrström E. Longitudinal surveys on effects of
changes in road traf c noise annoyance, activity
disturbances, and psycho-social well-being. J Acoust
Soc Am 2004;115:719-29.
12. Hume KI, Brink M, Basner M. Effects of environ-
mental noise on sleep. Noise Health 2012;14:297-
302.
13. Mead MN. Noise Pollution: The sound behind heart ef-
fects. Environ Health Perspect 2007;115(11):A536-7.
14. Jarup L, Babisch W, Houthuijs D, et al. Hypertension
and exposure to noise near airports: the HYENA
study. Environ Health Perspect 2008;116(3):329–33.
15. Bluhm LG, Berglind N, Nordling E, et al. Road
traf c noise and hypertension. Occup Environ Med
2007;64(2):122-6.
16. Heinonen-Guzejev M. Noise sensitivity – medical,
psychological and genetic aspects [dissertation].
University of Helsinki: Helsinki University Printing
House Helsinki; 2008. Retrieved from: http://www.
doria.fi/bitstream/handle/10024/42979/noisesen.
pdf?sequence=1. Accessed August 15, 2013.
17. Goines L, Hagler L. Noise pollution: a modem
plague. South Med J 2007;100(3):287-94.
18. Ising H, Kruppa B. Health effects caused by noise:
Evidence in the literature from the past 25 years.
Noise Health 2004;6:5-13.
19. Andersson K, Lindvall T. Health effects of commu-
nity noise; evaluation of the Nordic project on “the
health effects of community noise”. Nordic Council
of Ministers, Copenhagen; 1988.
20. Spreng M. Central nervous system activation by
noise. Noise Health 2000;7:49-57.
21. Babisch W. The noise/stress concept, risk assessment
and research needs. Noise Health 2002;4(16):1-11.
22. Wu T-N, Chen L-J, Lai J-S, et al. Prospective study
of noise exposure during pregnancy on birth weight.
Am J Epidemiol 1996;143(8):792-6.
23. de Weerth C, Buitelaar JK. Physiological stress
reactivity in human pregnancy--a review. Neurosci
Biobehav Rev 2005;29(2):295-312.
24. Richards DS, Frentzen B, Gerhardt KJ, et al.
Sound levels in the human uterus. Obstet Gynecol
1992;80:186-90.
25. Gerhardt KJ. Prenatal and perinatal risks of hearing
loss. Semin Perinatol 1990;14:299-304.
214
A. Dzhambov et al
Folia Medica 2014; 56(3): 204-214
© 2014 Medical University, Plovdiv
References truncated due to limitation of refer-
ences’ number for this type of study. All references
are available upon request to the corresponding
author or at: https://docs.google.com/document/
d/1zA0ZHLAaCxLssn9MIBbMNwO_MbpUgA-
4nSaIJ4oYkQ8/edit?usp=sharing.

Supplementary resource (1)

... The aetiology of these anomalies is overall poorly understood, especially considering the heterogeneity of anomalies and the complex interconnection between exposures. The literature often relates congenital anomalies to genetics, micronutrient deficiencies, and environmental factors, including infections [9], chemical exposure, air pollution, and potentially noise exposure [12,13]. ...
... Review studies including the one in the WHO environmental noise guidelines have summarised the association between environmental or occupational noise exposures and reproductive outcomes [12,19,[32][33][34]. These reviews reported few, low quality published studies on congenital anomalies or perinatal mortality in relation to maternal noise exposure [12,32]. ...
... Review studies including the one in the WHO environmental noise guidelines have summarised the association between environmental or occupational noise exposures and reproductive outcomes [12,19,[32][33][34]. These reviews reported few, low quality published studies on congenital anomalies or perinatal mortality in relation to maternal noise exposure [12,32]. However, these reviews included studies published through 2014, justifying the need for an update. ...
Article
Full-text available
As environmental and occupational noise can be health hazards, recent studies have investigated the effects of noise exposure during pregnancy. Despite biological plausibility and animal studies supporting an association, studies focusing on congenital anomalies and perinatal mortality as outcomes of noise exposure are still scarce. We performed a scoping review to collect, summarise, and discuss the existing scientific research about the relationships between noise exposure during pregnancy and congenital anomalies and/or perinatal mortality. We searched electronic databases for papers published between 1970 and March 2021. We included 16 studies (seven on congenital anomalies, three on perinatal mortality, and two on both congenital anomalies and perinatal mortality). We assessed four studies on congenital hearing dysfunction as the definition of congenital anomalies includes functional anomalies. We found few studies on this topic and no studies on the combined effects of occupational and environmental noise exposures. Evidence suggests a small increase in the risk of congenital anomalies in relation to occupational and to a lesser extent environmental noise exposure. In addition, few studies investigated perinatal mortality and the ones that did, used different outcome definitions, so no conclusions could be made. However, a recent big cross-sectional study demonstrated an association between road traffic noise and stillbirth. A few studies suggest a possible association between congenital hearing dysfunction and occupational noise exposure during pregnancy. Future studies with larger samples, better exposure assessments, and better statistical modelling strategies are needed to investigate these relationships further.
... Noise can also affect pregnant women and their fetuses, leading to adverse pregnancy outcomes. Multiple studies and meta-analyses have demonstrated that noise contributes to low birth weight, preterm birth, miscarriage, stillbirth, and congenital malformations (Dzhambov et al., 2014;Patelarou and Kelly, 2014;Pedersen et al., 2017a;Poulsen et al., 2018;Selander et al., 2019;Smith et al., 2020;Yue et al., 2020). ...
... After removing the Thacher et al. study from the residential noise exposure and GDM outcome, the weights of the remaining two studies in the combination were very different, that was due to the fact that there were only three studies in this outcome, and the removal of even one would have significantly altered the effect size. Dzhambov et al. (2014) conducted a meta-analysis on the association between noise exposure and birth outcomes and fetal development in 2014. Their findings indicated that occupational noise increased the risk of HDP, confirming the findings of this study. ...
Article
Full-text available
Background Noise exposure has a significant impact on human health. However, the effect of occupational and residential noise on the risk of pregnancy complications was controversial in the literature. This study looked at previous research and performed a meta-analysis to determine how noise exposure during pregnancy affected the risk of pregnancy complications. Methods Systematic searches were conducted in PubMed, Web of Science, Scopus, Embase, Ovid, and Cochrane, and all relevant studies were included. Two investigators independently evaluated the eligibility of these studies. The risk of bias in each study and the quality and strength of each outcome was evaluated by using the GRADE approach and Navigation Guide. Random effects meta-analysis model was used. Results The meta-analysis retrieved 1,461 study records and finally included 11 studies. Occupational noise exposure during pregnancy was associated with preeclampsia ( RR = 1.07, 95% CI : 1.04, 1.10). Neither occupational nor residential noise exposure was associated with hypertensive disorders of pregnancy (HDP) ( RR = 1.10, 95% CI : 0.96, 1.25 and RR = 1.05, 95% CI : 0.98, 1.11) or gestational diabetes mellitus (GDM) ( RR = 0.94, 95% CI : 0.88, 1.00 and RR = 1.06, 95% CI : 0.98, 1.16). Further bias analysis showed that the results were reliable. All outcomes were rated as low in quality and inadequate evidence of harmfulness in strength. Conclusions Occupational noise exposure could increase the risk of preeclampsia, according to the findings. There was no clear evidence of a harmful effect of noise exposure during pregnancy on HDP or GDM.
... To date, due to an emerging lifestyle, psychological and even climate-related factors can affect the maternal environment and therefore should be approached with scientific consideration as new emerging factors affecting maternal programming. People are facing new "normal living conditions," and these emerging factors include a sedentary lifestyle, psychosocial stress due to work issues, overcrowding, smog, overurbanization, industrialization, and noise pollution [13,14,16,71,[121][122][123], and these factors may either positively or negatively influence and impact offspring development. These factors are known to be determinants in generating permanent changes that can compromise fetal development and lead to further progression of chronic degenerative diseases in early and later life of offspring [59,124]. ...
... The human body reacts to noise pollution with a general stress response mechanism leading to neuroendocrine and cardiovascular alterations [121]. In a study on mice that examines the effect of noise during pregnancy, scientists found an increase in anxiety-like behavior, such as a reduction in the time spent exploring new objects, higher rates of resorbed embryos, and a reduction in litter size [177]. ...
Article
Full-text available
The Developmental Origins of Health and Disease (DOHaD) approach answers questions surrounding the early events suffered by the mother during reproductive stages that can either partially or permanently influence the developmental programming of children, predisposing them to be either healthy or exhibit negative health outcomes in adulthood. Globally, vulnerable populations tend to present high obesity rates, including among school-age children and women of reproductive age. In addition, adults suffer from high rates of diabetes, hypertension, cardiovascular, and other metabolic diseases. The increase in metabolic outcomes has been associated with the combination of maternal womb conditions and adult lifestyle-related factors such as malnutrition and obesity, smoking habits, and alcoholism. However, to date, "new environmental changes" have recently been considered negative factors of development, such as maternal sedentary lifestyle, lack of maternal attachment during lactation, overcrowding, smog, overurbanization, industrialization, noise pollution, and psychosocial stress experienced during the current SARS-CoV-2 pandemic. Therefore, it is important to recognize how all these factors impact offspring development during pregnancy and lactation, a period in which the subject cannot protect itself from these mechanisms. This review aims to introduce the importance of studying DOHaD, discuss classical programming studies, and address the importance of studying new emerging programming mechanisms, known as actual lifestyle factors, during pregnancy and lactation.
... Hanafi et al. reported that prenatal noise exposure (90 dBA) to embryonic chicks and newly hatched chicks caused elevated serum corticosterone and ceruloplasmin (CPN) levels [24]. Elevated corticosterone suppresses LTP, synaptic plasticity, and GABAergic modulation, which impairs spatial learning and memory and increases anxiety-like behavior and neurogenesis in the CA3-CA1 pathway of the hippocampus [24][25][26][27]. The young rats born from dams exposed to noise stress during the third trimester of pregnancy showed increased corticosterone, impaired spatial memory, and increased anxiety-like behaviors [28]. ...
Article
Full-text available
Life does not start at birth but at conception. Embryonic development is a particularly difficult period in which genetic and environmental factors can interact to contribute to risk. In utero and early neonatal exposure to maternal stress are linked with psychiatric disorders, and the underlying mechanisms are currently being elucidated. This study examined novel relationships between maternal noise exposure causing oxidative-stress-induced neurobehavioral changes in cognition and autism spectrum disorder (ASD) in offspring. Pregnant Wistar albino rats were exposed to noise (100 dBA/4 h). There were three groups of pregnant rats exposed to noise during gestation, as well as a control group: early gestational stress (EGS), which occurs between the 1st and 10th days of pregnancy; late gestational stress (LGS), which occurs between the 11th day and the delivery day; and full-term gestational stress (FGS), which occurs during the entire pregnancy period. Maternal stress effects on the offspring were analyzed. This study observed that noise exposure becomes a psychosocial stressor in the prenatal period of motherhood. In the EGS and LGS groups, female rats showed continuous midterm abortion and stillbirth during noise exposure. The noise-exposed group exhibited significant changes in cognition, obsessive–compulsive behavior, fear, and anxiety. Corticosterone and oxidative stress markers increased, and the antioxidant level was significantly decreased in the noise-exposed group. Therefore, maternal noise exposure causes recurrent abortions and stillbirths, increases oxidative stress, and impairs the offspring’s neurodevelopment.
... We identified six studies that combined various noise sources. 31,[39][40][41]51,52 The findings suggested that combined noise or other noise might increase the risk of developing CV disease, metabolic disorders, neonatal-related disease, pregnancy-related and hearing disorders. Hearing impairment was statistically different between the exposed and non-exposed groups. ...
Article
Full-text available
Background: Environmental noise is becoming increasingly recognized as an urgent public health problem, but the quality of current studies needs to be assessed. To evaluate the significance, validity and potential biases of the associations between environmental noise exposure and health outcomes. Methods: We conducted an umbrella review of the evidence across meta-analyses of environmental noise exposure and any health outcomes. A systematic search was done until November 2021. PubMed, Cochrane, Scopus, Web of Science, Embase and references of eligible studies were searched. Quality was assessed by AMSTAR and Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Results: Of the 31 unique health outcomes identified in 23 systematic reviews and meta-analyses, environmental noise exposure was more likely to result in a series of adverse outcomes. Five percent were moderate in methodology quality, the rest were low to very low and the majority of GRADE evidence was graded as low or even lower. The group with occupational noise exposure had the largest risk increment of speech frequency [relative risk (RR): 6.68; 95% confidence interval (CI): 3.41-13.07] and high-frequency (RR: 4.46; 95% CI: 2.80-7.11) noise-induced hearing loss. High noise exposure from different sources was associated with an increased risk of cardiovascular disease (34%) and its mortality (12%), elevated blood pressure (58-72%), diabetes (23%) and adverse reproductive outcomes (22-43%). In addition, the dose-response relationship revealed that the risk of diabetes, ischemic heart disease (IHD), cardiovascular (CV) mortality, stroke, anxiety and depression increases with increasing noise exposure. Conclusions: Adverse associations were found for CV disease and mortality, diabetes, hearing impairment, neurological disorders and adverse reproductive outcomes with environmental noise exposure in humans, especially occupational noise. The studies mostly showed low quality and more high-quality longitudinal study designs are needed for further validation in the future.
... Climate change; ıt can directly or indirectly increase risks such as maternal and fetal/newborn deaths, low birth weight, premature birth, stunting, anemia, diarrhea, dehydration, malaria, cholera, psycho-social pathologies, and violence [23]. In addition, the fact that high noise levels pose a risk in terms of fetal growth retardation, gestational hypertension, and congenital malformation, while air pollution increases the risks, such as premature birth and intrauterine growth retardation are the factors that draw attention to the importance of this issue [24,25]. In this context, do the effects of economic and ecological environmental conditions on perinatal women and their babies change regionally? ...
Article
Full-text available
Pregnancy, childbirth, and becoming a parent cause different physical, mental, and social changes, so it is a critical life period for women. The well-being of the perinatal period, in which this complex and unique process is experienced, contains different characteristics from the general population. Therefore, the importance of conceptualizing the concept of “perinatal well-being” and defining the relevant dimensions has recently gained attention. The potential to develop a tool to measure the concept, along with the conceptualization process adequately, makes this subject remarkable.
... With the urbanization and industrial development in China, women are undertaking diverse types of jobs. Accordingly, they may have more opportunities to expose to environmental and occupational pollutions, contributing to the increasing risks of environmental/occupational-related diseases and even affecting offspring health (24). Hence, quantifying the addictive effect of these factors could guide health promotion in pregnant women. ...
Article
Full-text available
Background Although a wide range of risk factors for microtia were identified, the limitation of these studies, however, is that risk factors were not estimated in comparison with one another or from different domains. Our study aimed to uncover which factors should be prioritized for the prevention and intervention of non-syndromic microtia via tranditonal and meachine-learning statistical methods.Methods293 pairs of 1:1 matched non-syndromic microtia cases and controls who visited Shanghai Ninth People's Hospital were enrolled in the current study during 2017-2019. Thirty-nine risk factors across four domains were measured (i.e., parental sociodemographic characteristics, maternal pregnancy history, parental health conditions and lifestyles, and parental environmental and occupational exposures). Lasso regression model and multivariate conditional logistic regression model were performed to identify the leading predictors of microtia across the four domains. The area under the curve (AUC) was used to calculate the predictive probabilities.ResultsEight predictors were identified by the lasso regression, including abnormal pregnancy history, genital system infection, teratogenic drugs usage, folic acid supplementation, paternal chronic conditions history, parental exposure to indoor decoration, paternal occupational exposure to noise and maternal acute respiratory infection. The additional predictors identified by the multivariate conditional logistic regression model were maternal age and maternal occupational exposure to heavy metal. Predictors selected from the conditional logistic regression and lasso regression both yielded AUCs (95% CIs) of 0.83 (0.79–0.86).Conclusion The findings from this study suggest some factors across multiple domains are key drivers of non-syndromic microtia regardless of the applied statistical methods. These factors could be used to generate hypotheses for further observational and clinical studies on microtia and guide the prevention and intervention strategies for microtia.
Article
INTRODUCTION: Women of child-bearing age make up an ever-increasing element of the aeromedical workforce in Australia and the UK. However, policy relating to the management of risk for pregnant employees in this sector is often missing or inadequate, with many women facing detrimental impacts on their career progression and financial well-being. For women who choose to continue flying, there is a lack of transparent guidance about the risks of flying within a helicopter in an aeromedical role. While grounding pregnant employees removes some risks, it is at the cost of autonomy and brings other adverse effects for the employee and employer. Updated reflections on this important topic will empower the audience to make informed discussions around pregnancy in aeromedical roles. TOPIC: Applying principles from literature surrounding commercial, military, and medical aviation, the risks to pregnant employees and the fetus are reviewed. These risks are complex and dynamic depending on gestation and underlying medical problems; thus, individualization of risk management is of key importance. In low-risk pregnancies, incapacitation risk is below the usual threshold adopted for safety-sensitive aviation activities. Based on available evidence we have quantified risks where possible and provide guidance on the relevant factors to consider in creating a holistic risk-management framework. The greatest unknown surrounds the risk from vibration, noise, and winching. These are reviewed and suggestions given for discussing this risk. We also highlight the need for policy providing acceptable nonflying options to remove the pressure to continue flying in pregnancy. APPLICATION: Based on a literature review we have generated a framework for understanding and assessing risk relating to pregnant employees in the aeromedical sector. This is intended for use by aeromedical organizations, pregnant employees, and their treating medical practitioners to provide rational and sensible policy and guidance. Storey HM, Austin J, Davies-White NL, Ransley DG, Hodkinson PD. Navigating pregnancy for employees in civilian rotary-wing aeromedicine . Aerosp Med Hum Perform. 2022; 93(12):866–876.
Article
Background: Exposure to noise can increase biological stress reactions and that could increase the risk of stress-related prenatal effects, including adverse obstetric outcomes; however, the association between exposure to noise and adverse obstetric outcomes has not been extensively explored. The objective of this review was to evaluate the evidence between noise exposures and adverse obstetric outcomes, specifically preeclampsia, gestational diabetes, and gestational hypertension. Materials and methods: A systematic review of English language, comparative studies available in PubMed, Cochrane Central, EMBASE, and CINAHL databases between January 1, 1980 and December 29, 2021 was performed. Risk of bias for individual studies was assessed using the Risk of Bias Instrument for Nonrandomized Studies of Exposures, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to assess the certainty of the body of evidence for each outcome. Results: Six studies reporting on preeclampsia, gestational diabetes, and gestational hypertension were identified. Although some studies suggested there may be signals of increased responses to increased noise exposure for preeclampsia and gestational hypertension, the certainty in the evidence of an effect of increased noise on all the outcomes was very low due to concerns with risk of bias, inconsistency across studies, and imprecision in the effect estimates. Conclusions: While the certainty of the evidence for noise exposure and adverse obstetric outcomes was very low, the findings from this review may be useful for directing further research in this area, as there is currently limited evidence available. These findings may also be useful for informing guidelines and policies involving noise exposure situations or environments.
Chapter
This chapter provides a systematic overview of the existing evidence investigating the health effects of environmental noise. There is now considerable scientific literature linking environmental noise exposure with a wide array of negative health effects. The most significant of these are annoyance and sleep disturbance, and a range of cardiovascular outcomes such as hypertension and ischaemic heart disease. Other emerging effects include myocardial infarction (heart attack), stroke, adverse birth and fertility issues as well as tentative links with various cancers. Moreover, the after-effects of noise-induced sleep disturbance are associated with numerous health-related problems including fatigue, reduced cognitive and physical performance, increased anxiety and negative emotional states such as anger and depression. Children appear to be a particular risk group with respect to noise with research showing that environmental noise exposure negatively impacts cognition in children. These negative impacts include reduced reading and problem-solving ability as well as reduced attention span and motivation among noise-exposed children. Moreover, the most recent evidence suggests a link with mental health issues including emotional problems, conduct disorder, hyperactivity and antisocial behaviour.
Article
Full-text available
Health impacts of environmental noise are a growing concern among both the general public and policy-makers in Europe. This document was prepared by experts in working groups convened by the WHO Regional Office for Europe to provide technical support to policy-makers and their advisers in the quantitative risk assessment of environmental noise, using evidence and data available in Europe. The chapters in this document contain the summary of synthesized reviews of evidence on the relationship between environmental noise and specific health effects, including cardiovascular disease, cognitive impairment, sleep disturbance and tinnitus. A chapter on annoyance is also included. For each outcome, the environmental burden of disease methodology, based on exposure–response relationship, exposure distribution, background prevalence of disease and disability weights of the outcome, is applied to calculate the burden of disease in terms of disability-adjusted life-years. With conservative assumptions applied to the calculation methods, it is estimated that DALYs lost from environmental noise are 61 000 years for ischaemic heart disease, 45 000 years for cognitive impairment of children, 903 000 years for sleep disturbance, 22 000 years for tinnitus and 587 000 years for annoyance in the European Union member states and other western European countries. These results indicate that at least one million healthy life years are lost every year from traffic-related noise in the western part of Europe. Sleep disturbance and annoyance, mostly related to road traffic noise, comprise the main burden of environmental noise. Owing to a lack of exposure data in south-east Europe and the Newly Independent States, it was not possible to estimate the disease burden in the whole of the WHO European Region. The procedure of estimating burdens related to environmental noise exposure presented in this document can be used by international, national and local authorities as long as the assumptions, limitations and uncertainties reported in this document are carefully taken into account.
Article
Full-text available
Noise can be defined as unwanted sound. It may adversely affect the health and well-being of individuals. Noise sensitivity is a personality trait covering attitudes towards noise in general and a predictor of noise annoyance. Noise sensitive individuals are more affected by noise than less sensitive individuals. The determinants and characteristics related to noise sensitivity are rather poorly known. The risk of health effects caused by noise can be hypothesized to be higher for noise sensitive individuals compared to those who are not noise sensitive. A cardiovascular disease may be an example of outcomes. The general aim of the present study was to investigate the association of noise sensitivity with specific somatic and psychological factors, including the genetic component of noise sensitivity, and the association of noise sensitivity with mortality. The study was based on the Finnish Twin Cohort of same-sex twin pairs born before 1958. In 1988 a questionnaire was sent to twin pairs discordant for hypertension. 1495 individuals (688 men, 807 women) aged 31 88 years replied, including 573 twin pairs. 218 of the subjects lived in the Helsinki Metropolitan Area. Self-reported noise sensitivity, lifetime noise exposure and hypertension were obtained from the questionnaire study in 1988 and other somatic and psychological factors from the questionnaire study in 1981 for the same individuals. In addition, noise map information (1988 1992) from the Helsinki Metropolitan Area and mortality follow-up 1989 2003 were used. To evaluate the stability and validity of noise sensitivity, a new questionnaire was sent in 2002 to a sample of the subjects who had replied to the 1988 questionnaire. Of all subjects who had answered the question on noise sensitivity, 38 % were noise sensitive. Noise sensitivity was independent of noise exposure levels indicated in noise maps. Subjects with high noise sensitivity reported more transportation noise exposure than subjects with low noise sensitivity. Noise sensitive subjects reported transportation noise exposure outside the environmental noise map areas almost twice as often as non-sensitive subjects. Noise sensitivity was associated with hypertension, emphysema, use of psychotropic drugs, smoking, stress and hostility, even when lifetime noise exposure was adjusted for. Monozygotic twin pairs were more similar with regards noise sensitivity than dizygotic twin pairs, and quantitative genetic modelling indicated significant familiality. The best fitting genetic model provided an estimate of heritability of 36 %. Follow-up of subjects in the case-control study showed that cardiovascular mortality was significantly increased among noise sensitive women, but not among men. For coronary heart mortality the interaction of noise sensitivity and lifetime noise exposure was statistically significant in women. In conclusion, noise sensitivity has both somatic and psychological components. It does aggregate in families and probably has a genetic component. Noise sensitivity may be a risk factor for cardiovascular mortality in women. Melu on ääntä, joka koetaan epämiellyttävänä tai häiritsevänä tai joka on muulla tavoin terveydelle vahingollista tai hyvinvoinnille haitallista. Meluherkkyys on yksilöllinen ominaisuus, joka kuvaa herkkyyttä kokea melu ja reagoida siihen. Meluherkät aistivat melun uhkaavampana, reagoivat meluun voimakkaammin ja tottuvat siihen hitaammin kuin ei-meluherkät. Meluherkkyys lisää melun koettua häiritsevyyttä. Voidaan olettaa, että melun terveysvaikutusten, kuten sydän- ja verisuonitautien, riski on suurempi meluherkillä kuin ei-meluherkillä. Väitöskirjatyössä selvitettiin, mihin somaattisiin ja psykologisiin tekijöihin meluherkkyys liittyy, selittävätkö perintötekijät meluherkkyyden eroja, ja liittyykö meluherkkyys kuolleisuuteen, erityisesti sydän- ja verisuonitauti-kuolleisuuteen. Vuonna 1988 meluaiheinen kysely kohdennettiin Helsingin yliopiston kansanterveystieteen laitoksen aikuisten kaksoskohortin niille kaksospareille, joista vain toisella parin jäsenistä oli todettu verenpainetauti. Kyselylomakkeen palautti 1495 henkilöä. Vastanneista 218 asui pääkaupunkiseudulla ja heille määriteltiin lisäksi liikennemelualtistustaso melukarttojen avulla. Tiedot muista sairauksista, lääkkeiden käytöstä ja psykologisista tekijöistä saatiin samoille kaksosille vuonna 1981 tehdystä kyselystä. Geenien ja ympäristötekijöiden yhteyttä meluherkkyyteen arvioitiin kaksosmallinnuksella 573 kaksosparilla. Kohortin kuolleisuutta seurattiin vuosina 1989 2003. Tutkituista 38 % oli meluherkkiä. Erittäin meluherkät raportoivat melua enemmän kuin ei lainkaan meluherkät. Meluherkät raportoivat melua melukartoitusten melualueiden ulkopuolella lähes kaksi kertaa useammin kuin ei-meluherkät. Meluherkkyydellä todettiin somaattinen ja psykologinen komponentti. Se liittyi kohonneeseen verenpaineeseen, uni- ja rauhoittavien lääkkeiden sekä särkylääkkeiden käyttöön, emfyseemaan (keuhkolaajentumaan), tupakointiin, stressiin ja vihamielisyyteen myös silloin kun elinaikainen itse raportoitu melualtistus oli vakioitu. Kaksostutkimuksen perusteella meluherkkyyden periytyvyysaste oli 0.36 eli yksilöiden väliset geneettiset erot selittivät 36 % eroista meluherkkyydessä. Samanmunaiset kaksosparit olivat meluherkkyyden suhteen enemmän samankaltaisia kuin erimunaiset kaksosparit. Meluherkkyys oli kasautunut perheisiin. Meluherkkien naisten sydän- ja verisuonitautikuolleisuus oli tilastollisesti merkitsevästi suurempi kuin ei-meluherkkien naisten. Sepelvaltimotautikuolleisuuden osalta meluherkkyyden ja elinaikaisen melualtistuksen välinen yhteisvaikutus oli naisilla tilastollisesti merkitsevä.
Article
This paper summarizes the findings from the past 3 year's research on the effects of environmental noise on sleep and identifies key future research goals. The past 3 years have seen continued interest in both short term effects of noise on sleep (arousals, awakenings), as well as epidemiological studies focusing on long term health impacts of nocturnal noise exposure. This research corroborated findings that noise events induce arousals at relatively low exposure levels, and independent of the noise source (air, road, and rail traffic, neighbors, church bells) and the environment (home, laboratory, hospital). New epidemiological studies support already existing evidence that night-time noise is likely associated with cardiovascular disease and stroke in the elderly. These studies collectively also suggest that nocturnal noise exposure may be more relevant for the genesis of cardiovascular disease than daytime noise exposure. Relative to noise policy, new effect-oriented noise protection concepts, and rating methods based on limiting awakening reactions were introduced. The publications of WHO's ''Night Noise Guidelines for Europe'' and ''Burden of Disease from Environmental Noise'' both stress the importance of nocturnal noise exposure for health and well-being. However, studies demonstrating a causal pathway that directly link noise (at ecological levels) and disturbed sleep with cardiovascular disease and/or other long term health outcomes are still missing. These studies, as well as the quantification of the impact of emerging noise sources (e.g., high speed rail, wind turbines) have been identified as the most relevant issues that should be addressed in the field on the effects of noise on sleep in the near future.
Article
Reviews have suggested that road noise exposure is associated with high blood pressure (hypertension). No reliable exposure-response relationship is as yet available. A meta-analysis was carried out in order to derive a quantitative exposure-response relationship between the exposure to road traffic noise and the prevalence of hypertension, and to gain some insight into the sources of heterogeneity among study results. Twenty-seven observational studies published between 1970 and 2010 in English, German or Dutch, were evaluated. Finally, the results of 24 studies were included into the data aggregation. Road traffic noise was positively and significantly associated with hypertension: Data aggregation revealed an odds ratio (OR) of 1.034 [95% confidence interval (CI) 1.011-1.056] per 5 dB(A) increase of the 16 h average road traffic noise level (LAeq16hr) [range 45-75 dB(A)]. Important sources of heterogeneity were the age and sex of the population under study, the way exposure was ascertained, and the noise reference level used. Also the way noise was treated in the statistical model and the minimum years of residence of the population under study, gave an explanation of the observed heterogeneity. No definite conclusions can be drawn about the threshold value for the relationship between road traffic noise and the prevalence of hypertension. Based on the meta-analysis, a quantitative relationship is derived that can be used for health impact assessment. The results of this meta-analysis are consistent with a slight increase of cardiovascular disease risk in populations exposed to transportation noise.
Article
Noise is defined as unwanted sound. Environmental noise consists of all the unwanted sounds in our communities except that which originates in the workplace. Environmental noise pollution, a form of air pollution, is a threat to health and well-being. It is more severe and widespread than ever before, and it will continue to increase in magnitude and severity because of population growth, urbanization, and the associated growth in the use of increasingly powerful, varied, and highly mobile sources of noise. It will also continue to grow because of sustained growth in highway, rail, and air traffic, which remain major sources of environmental noise. The potential health effects of noise pollution are numerous, pervasive, persistent, and medically and socially significant. Noise produces direct and cumulative adverse effects that impair health and that degrade residential, social, working, and learning environments with corresponding real (economic) and intangible (well-being) losses. It interferes with sleep, concentration, communication, and recreation. The aim of enlightened governmental controls should be to protect citizens from the adverse effects of airborne pollution, including those produced by noise. People have the right to choose the nature of their acoustical environment; it should not be imposed by others.
Article
The objective of our study was to investigate and evaluate the relationship between road traffic noise and cardiovascular risk. The study sample (n=659; 36.9% male, 63.1% female university students, mean age 22.83+/-1.58 years) included a group exposed to road traffic noise (n=280, L(eq,24h)=67+/-2dB(A)) and a control group (n=379, L(eq,24h)=58.7+/-6dB(A)). Subjective response was determined by a validated noise annoyance questionnaire. The ten year risk of developing a coronary heart disease event was quantified as an evaluation of cardiovascular risk (SCORE60, Framingham 10-year risk estimation and projection to the age of 60, relative risk SCORE chart). Cardiovascular risk scores were significantly higher in the exposed group based on the Framingham scores projected to the age of 60, SCORE60 (AOR=2.72 (95% CI=1.21-6.15)) and the relative risk SCORE chart (AOR=2.81 (1.46-5.41)). These findings highlight the association between road traffic noise and cardiovascular risk.