Literature DB >> 30219031

Questionnaire results on exposure characteristics of pregnant women participating in the Japan Environment and Children Study (JECS).

Miyuki Iwai-Shimada1, Shoji F Nakayama2, Tomohiko Isobe1, Takehiro Michikawa1, Shin Yamazaki1, Hiroshi Nitta1, Ayano Takeuchi1,3, Yayoi Kobayashi1, Kenji Tamura1, Eiko Suda1, Masaji Ono1, Junzo Yonemoto1, Toshihiro Kawamoto1,4.   

Abstract

BACKGROUND: The Japan Environment and Children's Study (JECS) is a nation-wide birth cohort study investigating environmental effects on children's health and development. In this study, the exposure characteristics of the JECS participating mothers were summarized using two questionnaires administered during pregnancy.
METHODS: Women were recruited during the early period of their pregnancy. We intended to administer the questionnaire during the first trimester (MT1) and the second/third trimester (MT2). The total number of registered pregnancies was 103,099.
RESULTS: The response rates of the MT1 and MT2 questionnaires were 96.8% and 95.1%, respectively. The mean gestational ages (SDs) at the time of the MT1 and MT2 questionnaire responses were 16.4 (8.0) and 27.9 (6.5) weeks, respectively. The frequency of participants who reported "lifting something weighing more than 20 kg" during pregnancy was 5.3% for MT1 and 3.9% for MT2. The Cohen kappa scores ranged from 0.07 to 0.54 (median 0.31) about the occupational chemical use between MT1 and MT2 questionnaires. Most of the participants (80%) lived in either wooden detached houses or steel-frame collective housing. More than half of the questionnaire respondents answered that they had "mold growing somewhere in the house". Insect repellents and insecticides were used widely in households: about 60% used "moth repellent for clothes in the closet," whereas 32% applied "spray insecticide indoors" or "mosquito coil or an electric mosquito repellent mat."
CONCLUSIONS: We summarized the exposure characteristics of the JECS participants using two maternal questionnaires during pregnancy.

Entities:  

Keywords:  Birth cohort; Epidemiology; Exposure; JECS; Japan Environment and Children’s Study

Mesh:

Year:  2018        PMID: 30219031      PMCID: PMC6138908          DOI: 10.1186/s12199-018-0733-0

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


Background

The Japan Environment and Children’s Study (JECS) is a nation-wide birth cohort study initiated in 2011. JECS aims to investigate relationships between environmental factors and children’s health and development by recruiting 100,000 expectant mothers [1-3]. In JECS, children are followed from before birth to 13 years old. The exposures during the prenatal period were assessed using self-administered questionnaires and biological samples collected from the mothers during the first trimester, during the second/third trimester, and after delivery. Postnatal exposures were assessed mainly using questionnaires administered to the mothers every 6 months after birth [1]. Exposure assessment during the prenatal and postnatal period in a birth cohort study is critical to investigate the effect of the environment on children’s health because their developing organs are susceptible to various environmental factors [4]. Many birth cohort studies have been conducted aiming to illustrate the environmental effects on children’s health, including the Danish National Birth Cohort [5], the Norwegian Mother and Child Cohort Study (MoBa) [6, 7], Generation R in the Netherlands [8] and the Mothers’ and Children’s Environmental Health study in South Korea [9]. In JECS, the exposure assessment is based on four approaches: (1) questionnaires, (2) biomonitoring, (3) environmental measurements, and (4) simulation models [2, 3]. The current leading risk factors for the global disease burden are high blood pressure, tobacco smoking including second-hand smoke, household air pollution, and diet. Moreover, worldwide, the contribution of different risk factors to the disease burden has changed substantially, with a shift away from the risks of communicable diseases in children toward those of non-communicable diseases in adults [10]. At the same time, the causation of many chronic diseases and developmental disorders is poorly understood still. For example, the development and exacerbation of asthma can be associated with the complex interactions between environmental, social, and lifestyle factors (e.g., ambient air quality, house dust, mold, and smoking) as well as genetic and epigenetic factors [11]. Therefore, we should assess as many environmental exposures as possible in a birth cohort study instead of using a “one-exposure-one-health-effect” approach [12]. Not all exposures can be measured by biomonitoring or environmental monitoring. For some exposures, e.g., occupational history, daily consumer products, and dwelling condition, we had to rely on questionnaire for data collection. Since we had not found any standardized exposure questionnaire, we developed our own questionnaire for the use in JECS. Thus, it is important for us to characterize JECS exposure questionnaire data for the later use in the analysis of the association between environmental factors and children’s health. To our knowledge, this is the first to compare the responses of approximately 100,000 pregnant women to the exposure questionnaires administered twice during early and mid–late pregnancy periods. In this paper, we describe the environmental exposures of the JECS participants using two maternal questionnaires during pregnancy. We assessed whether pregnant women changed the environmental, lifestyle, and/or workload during pregnancy. The questionnaires were designed to collect information associated with chemical exposures such as dwelling conditions, indoor environment, usage of consumer products, and occupation.

Methods

Study protocol

The JECS study protocol has been published elsewhere [1]. Briefly, 15 Regional Centers were selected to cover wide geographical areas in Japan, located from the north, Hokkaido, to the south, Okinawa [1]. The recruitment took place from January 2011 to March 2014. The eligibility criteria for participants (expecting mothers) were as follows: (1) They should reside in the study areas at the time of the recruitment and are expected to reside continually in Japan for the foreseeable future, (2) expected delivery date should be between 1 August 2011 and mid-2014, and (3) they should be capable to participate in the study without difficulty, i.e., must be able to comprehend the Japanese language and complete the self-administered questionnaire [1]. Self-administered questionnaires completed by the mothers during the first trimester and the second/third trimester were used to collect information on demographic factors, medical and obstetric history, physical and mental health, lifestyle, occupation, environmental exposure at home and in the workplace, housing conditions, and socioeconomic status. The baseline characteristics of the participants have been described elsewhere [2]. In this paper, we report the information about the use of chemical substances by mothers and their work/home environments using questionnaires administered during their pregnancy. We summarized two maternal questionnaires, i.e., the questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2). The MT1 questionnaire collected information on activities and chemical use related to occupation during their pregnancy as exposure metrics. The MT2 questionnaire repeated the questions asked in the MT1 questionnaire and then collected data on their dwelling conditions, the indoor environment, and the use of consumer products (see Supplemental methods). The numbers of responses from the JECS participants for the MT1 and MT2 questionnaires are provided in Fig. 1. The total number of registered pregnancies was 103,099. The response rates of the MT1 and MT2 questionnaire were 96.8% and 95.1%, respectively. The mean gestational ages (SD) at the time of the MT1 and MT2 questionnaire responses were 16.4 (8.0) and 27.9 (6.5) weeks, respectively.
Fig. 1

Environmental exposure data from questionnaires administered to first-trimester and second/third-trimester pregnant women in the Japan Environment and Children’s Study (JECS)

Environmental exposure data from questionnaires administered to first-trimester and second/third-trimester pregnant women in the Japan Environment and Children’s Study (JECS)

Statistical analysis

The present study was based on the data set jecs-ag-20160424. Categorical variables were reported as a median with interquartile ranges, and categorical variables were the proportion of each questionnaire item to the total number of response. All analyses were performed using JMP version 12.2.0 (SAS Institute Inc., Cary, NC, USA), and P value < 0.0001 was considered statistically significant. We used the McNemar test to assess the differences in proportions between MT1 and MT2. The two questionnaires agreement was assessed using Cohen’s kappa coefficient (kappa scores) [13]. The  kappa score of 0–0.20 was characterized as poor agreement or no agreement beyond chance, 0.21–0.40 as fair, 0.41–0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1.00 as almost perfect agreement [14].

Results

The total number of pregnant women participating in JECS was 103,099. Michikawa et al. [2] have published previously the baseline characteristics of the JECS participants, including age at delivery, marital status, family composition, educational background, household income, and passive smoking (presence of smokers at home). The mean gestational ages (SD) at the time of the MT1 and MT2 questionnaire responses were 16.4 (8.0) and 27.9 (6.5) weeks, respectively. Table 1 shows the workload characteristics during work and daily life at the current time and at any time since becoming pregnant. The numbers of participants who reported workloads of “lifting something weighing more than 20 kg” and “going in and out of commercial refrigerator or freezer” decreased significantly from the first trimester to the second/third trimester. In contrast, workloads of “exposed to loud noise” and “using manufacturing tools with vibration” increased significantly.
Table 1

Characteristics of workload from workplace, hobbies, and household during pregnancy as reported via two questionnaires of the MT1 and MT2 in the Japan Environment and Children’s Study (JECS)

VariablesMT1MT2 P
N % N %
I have been engaged in at least one of the following activities from nos. 1 to 7 after becoming pregnant
 Yes13,41014.011,30611.8< 0.0001
 No82,07086.084,17488.2
1. Lifting objects that weigh more than 20 kg
 Yes50785.337443.9< 0.0001
 No90,40294.791,73696.1
2. Exposed to loud noise
 Yes33533.535973.8< 0.0001
 No92,12796.591,88396.2
3. Going in and out of commercial refrigerator or freezer
 Yes26462.820912.2< 0.0001
 No92,83497.293,38997.8
4. Working in a hot place that makes one sweat
 Yes18411.917191.80.0078
 No93,63998.193,76198.2
5. Using organic solvent
 Yes15081.615831.70.0288
 No93,97298.493,89798.3
6. Handling powder dust
 Yes8100.88500.90.1211
 No94,67099.294,63099.1
7. Using manufacturing tools with vibration
 Yes4170.45650.6< 0.0001
 No95,06399.694,91599.4

P values are by McNemar test. The questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2)

N number of valid responses

Characteristics of workload from workplace, hobbies, and household during pregnancy as reported via two questionnaires of the MT1 and MT2 in the Japan Environment and Children’s Study (JECS) P values are by McNemar test. The questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2) N number of valid responses Table 2 shows the frequencies of workload characteristics after becoming pregnant as reported in MT2. The frequency of “lifting something weighing more than 10 kg (including a child),” “using a tool/equipment or riding a vehicle with a strong vibration,” “going in and out of a commercial refrigerator or freezer,” and “working in a hot place that makes one sweaty” more than once a month were 67%, 1.6%, 4.5%, and 0.3%, respectively.
Table 2

Workload characteristics after becoming pregnant as reported via second/third trimester (MT2) questionnaire in the Japan Environment and Children’s Study (JECS)

Variables N %
Frequency of lifting something weighing more than 10 kg (including a child) after becoming pregnant97,587
 Never32,13332.9
 1–3 times a month17,25117.7
 1–4 times a week15,58216.0
 5 times a week or more32,62133.4
Living or working in a noisy environment after becoming pregnant97,502
 No87,26089.5
 Yes10,24210.5
Frequency of working sometime between 10 p.m. and dawn after becoming pregnant97,491
 Never89,39491.7
 1–3 times a month46144.7
 1–4 times a week30023.1
 5 times a week or more4810.5
Frequency of working in a hot place that makes one sweaty after becoming pregnant97,472
 Never89,38591.7
 1–3 times a month39794.1
 1–4 times a week30593.1
 5 times a week or more10491.1
Frequency of going in and out of a commercial refrigerator or freezer after becoming pregnant97,396
 Never93,03995.5
 1–3 times a month15061.6
 1–4 times a week19672.0
 5 times a week or more8840.9
Frequency of using a tool/equipment or riding a vehicle with a strong vibration after becoming pregnant97,453
 Never95,91198.4
 1–3 times a month9391.0
 1–4 times a week3830.4
 5 times a week or more2200.2

N number of valid responses, MT2 questionnaire administered to second/third-trimester pregnant women

Workload characteristics after becoming pregnant as reported via second/third trimester (MT2) questionnaire in the Japan Environment and Children’s Study (JECS) N number of valid responses, MT2 questionnaire administered to second/third-trimester pregnant women Table 3 summarizes the occupational use of chemicals after becoming pregnant. Using a questionnaire similar to those used in MT1 and MT2 (for details see Additional file 1), Cohen’s kappa scores ranged from 0.07 to 0.54 (median 0.31). The kappa scores demonstrated mostly fair (between 0.21 and 0.4) to moderate (between 0.41 and 0.6) agreement between MT1 and MT2 except for the use of mercury and engine oil (poor, kappa scores up to 0.2).
Table 3

Frequency of the occupational use of chemicals for more than half a day during pregnancy (MT1 and MT2 questionnaires)

MT1MT2 N
%%Kappa scores
Anti-cancer drug (not including your own remedy)N = 63,576
 No98.798.80.54
 1–3 times a month0.80.9
 1–6 times a week0.40.3
 Everyday< 0.10.1
Lead-free solderN = 63,388
 No99.799.70.54
 1–3 times a month0.10.1
 1–6 times a week0.10.2
 Everyday0.10.1
Any products containing lead like solderN = 63,388
 No99.799.70.45
 1–3 times a month0.20.2
 1–6 times a week0.10.1
 Everyday0.10.1
Formalin, formaldehydeN = 63,584
 No99.299.20.44
 1–3 times a month0.50.5
 1–6 times a week0.30.2
 Everyday0.10.1
MicrobesN = 63,399
 No99.699.60.44
 1–3 times a month0.20.2
 1–6 times a week0.20.1
 Everyday0.10.1
General anesthetic for surgery at hospitalN = 63,611
 No99.299.10.42
 1–3 times a month0.40.5
 1–6 times a week0.30.3
 Everyday0.10.1
Photo copying machine, laser printerN = 64,895
 No70.666.10.39
 1–3 times a month8.111.4
 1–6 times a week14.215.2
 Everyday7.17.3
Radiation, radioactive substances, isotopesN = 63,385
 No98.198.50.38
 1–3 times a month0.90.7
 1–6 times a week0.80.5
 Everyday0.30.2
Medical sterilizing disinfectantN = 63,931
 No88.586.80.37
 1–3 times a month3.35.3
 1–6 times a week6.05.8
 Everyday2.32.0
Dyestuffs (hair coloring)N = 62,560
 No93.490.80.32
 1–3 times a month5.58.0
 1–6 times a week0.60.7
Everyday0.40.5
Permanent markerN = 64,471
 No70.360.50.30
 1–3 times a month15.823.6
 1–6 times a week11.113.2
 Everyday2.82.7
PaintN = 63,569
 No80.072.90.29
 1–3 times a month10.215.5
 1–6 times a week7.89.1
 Everyday2.42.5
Chromium, arsenic, cadmiumN = 63,386
 No99.999.90.28
 1–3 times a month< 0.1< 0.1
 1–6 times a week< 0.1< 0.1
 Everyday< 0.1< 0.1
Organic solventsN = 63,471
 No92.991.10.27
 1–3 times a month5.47.2
 1–6 times a week1.41.4
 Everyday0.30.3
Chlorine bleach, germicideN = 64,016
 No81.173.70.27
 1–3 times a month13.219.7
 1–6 times a week4.95.8
 Everyday0.80.8
Kerosene, petroleum, benzene, gasolineN = 63,778
 No90.284.20.26
 1–3 times a month7.712.5
 1–6 times a week2.03.2
 Everyday0.10.1
InsecticideN = 63646
 No94.391.90.21
 1–3 times a month4.87.0
 1–6 times a week0.91.0
 Everyday0.10.1
HerbicideN = 62837
 No99.498.90.19
 1–3 times a month0.61.1
 1–6 times a week< 0.1< 0.1
 Everyday< 0.1< 0.1
Engine oilN = 63519
 No99.099.20.18
 1–3 times a month0.70.6
 1–6 times a week0.20.2
 Everyday0.10.1
MercuryN = 63,288
 No99.799.40.07
 1–3 times a month0.30.5
 1–6 times a week< 0.1< 0.1
 Everyday< 0.1< 0.1
Agricultural chemical not listed above or unidentifiedN = 64,388
 No99.8No data
 1–3 times a month0.1
 1– 6 times a week< 0.1
 Everyday< 0.1
Other chemical substancesN = 64,313
 No99.1No data
 1–3 times a month0.2
 1–6 times a week0.4
 Everyday0.3

The questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2)

N number of valid responses

Frequency of the occupational use of chemicals for more than half a day during pregnancy (MT1 and MT2 questionnaires) The questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2) N number of valid responses Table 4 presents the dietary habits during pregnancy as reported on the MT2 questionnaire. Frequency of eating “fast foods,” “retort pouch foods,” “instant noodles, soups, or other foods packed in plastic cups that can be cooked by pouring hot water,” and “canned foods” more than once a week were 15%, 23%, 21%, and 7%, respectively. Frequency of “eating pre-packed foods sold at convenience stores, supermarkets or box lunch shops,” “eating out at a restaurant or eating place,” and “eating frozen foods” more than once a week were 38%, 46%, and 33%, respectively.
Table 4

Dietary habits during pregnancy for breakfast, lunch, or dinner during the last month (MT2)

N %
Eating out at a restaurant or eating place97,528
 Less than once a week52,96254.3
 1–2 times a week40,54541.6
 3–4 times a week32613.3
 5–6 times a week6010.6
 Everyday1590.2
Eating pre-packed foods sold at convenience stores, supermarkets or box lunch shops97,505
 Less than once a week60,85062.4
 1–2 times a week27,79728.5
 3–4 times a week64856.7
 5–6 times a week17981.8
 Everyday5750.6
Eating frozen foods97,381
 Less than once a week65,06866.8
 1–2 times a week22,76723.4
 3–4 times a week73137.5
 5–6 times a week16631.7
Everyday5700.6
Eating retort pouch foods97,284
 Less than once a week75,38777.5
 1–2 times a week20,01220.6
 3–4 times a week16681.7
 5–6 times a week1700.2
 Everyday47< 0.1
Eating instant noodles, soups, or other foods packed in plastic cups that can be cooked by pouring hot water97,277
 Less than once a week77,38079.5
 1–2 times a week17,75818.3
 3–4 times a week18691.9
 5–6 times a week2130.2
 Everyday570.1
Fast-food intake (e.g., French fries, pizza, donuts)97,367
 Less than once a week82,69984.9
 1–2 times a week13,84514.2
 3–4 times a week7360.8
 5–6 times a week710.1
 Everyday16< 0.1
Eating canned foods96,915
 Less than once a week89,91992.8
 1–2 times a week66626.9
 3–4 times a week2880.3
 5–6 times a week32< 0.1
 Everyday14< 0.1

N Number of valid responses

Dietary habits during pregnancy for breakfast, lunch, or dinner during the last month (MT2) N Number of valid responses Table 5 presents the household environment characteristics such as dwelling condition, air conditioning, cleanup, and mobile phone use during pregnancy collected via the MT2 questionnaire. Most of the participants (80%) lived in either wooden detached houses or steel-frame collective housing. The proportion of the respondents living in a housing that was over 20 years old was 35%. More than half of the questionnaire respondents answered that they had “mold growing somewhere in the house,” with the bathroom being the most frequent site of mold. Wooden floors (covered by carpets, tiles, or no covering) were present in 78% of the residences. As for household cleaning, 92% of the participants had been vacuuming more than once a week. The proportion of participants who did not have a mobile phone was 0.1–0.2%.
Table 5

Household environment characteristics during pregnancy (MT2)

CategoryVariables N Median%
(25th–75th percentiles)
Dwelling condition and materialType of residence97,315
 Wooden detached house40,26941.4
 Steel-frame detached house61906.4
 Wooden multiple-dwelling house/apartment12,04212.4
 Steel-frame multiple-dwelling house/apartment37,86138.9
 Others9531.0
Age of house/apartment building97,238
 < 1 year54325.6
 1 ≦ year < 310,92011.2
 3  ≦ year < 591529.4
 5 ≦ year < 1014,90315.3
 10 ≦ year < 2022,61023.3
 20 years ≦24,57625.3
 Unknown96729.9
Number of years living in the current place of residence (years)94,8993 (1–5)
Floor living on/number of floors in the apartment building63,509/67,2302 (1–3)/2 (2–4)
Number of rooms in the house/apartment97,2933 (3–5)
Size of the floor space of the house/apartment (m2)40,32167 (50–100)
House renovation/interior finishing after getting pregnant97,242
 Yes (%)30763.2
Living in an all-electric house/building97,276
 Yes (%)18,31718.8
Small refuse incinerator on the premises of home97,408
 Yes, but it is no longer used (%)12981.3
 Yes, it is used still (%)26322.7
Use of a water purifier on a water faucet97,427
 Yes (%)27,53928.3
MoldMold growing somewhere in the house96,853
 Yes (%)60,94662.9
Number of responses98,051
 Kitchen (yes, %)10,86911.1
 Living room (yes, %)20202.1
 Mother’s bedroom (yes, %)53065.4
 Other bedroom (yes, %)11221.1
 Bathroom (yes, %)57,25258.4
 Lavatory (yes, %)42784.4
 Other place (yes, %)28862.9
PetHaving a pet currently97,538
 Yes (%)22,48323.1
Number of responses98,051
 Cat (yes, %)68527.0
 Bird (yes, %)6820.7
 Dog (kept in- and outside of residence, yes, %)13,59713.9
 Hamster (yes, %)10181.0
 Turtle (yes, %)11661.2
 Others (yes, %)40764.2
Air conditioningAppliance mainly used to cool rooms in the house/apartment97,618
 Air conditioner70,70272.4
 Electric fan24,22324.8
 Others2810.3
 Nothing24122.5
Use of a humidifier during the last year97,634
 Yes (%)56,46957.8
Use of a dehumidifier/dehumidifying function of an air conditioner during the last year97,564
 Yes (%)58,80860.3
Use of an air-cleaning device97,632
 Yes (%)50,23551.5
Heating appliance used in the living room during winter (yes, %)92,257
 Yes (%)91,58799.3
Type of heating equipment in living room98,051
 Kerosene heater/kerosene fan heater48,45449.4
 Gas heater/gas fan heater78008.0
 Kerosene/gas heater (with a chimney or an exhaust pipe that reaches outside of house)15141.5
 Air conditioner/steam heater/oil heater53,74154.8
 Electric “kotatsu” (a table with an electric heater underneath, with a quilt)/electric heater/electric carpet/other electric heating equipment58,34759.5
 Central heating/floor heating58315.9
 Charcoal/briquette “kotatsu” or “hibachi” (Japanese heating appliance using charcoal as fuel)6690.7
 Other equipment24042.5
Use of any equipment to heat a bed during winter96,376
 Yes (%)30,26231.4
Type of heating equipment in bed98,051
 Electric “anka” (bed warmer)29693.0
 Electric blanket12,60812.9
 Hot water bottle16,35116.7
 Other equipment18001.8
CleaningMaterials covering the flooring of the living room97,475
 Tatami (Japanese straw floor covering)11,28511.6
 Carpet on tatami88539.1
 Flooring/wooden flooring/tiles34,57435.5
 Carpet on flooring/wooden flooring/tiles40,99042.1
 Other17731.8
Frequency of cleaning the floor of the living room with a vacuum cleanera97,616
 Everyday17,15617.6
 A few times a week42,91844.0
 Once a week29,60530.3
 1–2 times a month57845.9
 A few times a year9150.9
 Almost never or never12381.3
Frequency of cleaning the floor of the bedroom with a vacuum cleanera97,617
 Everyday10,82411.1
 A few times a week38,69339.6
 Once a week34,39235.2
 1–2 times a month10,37110.6
 A few times a year17181.8
 Almost never or never16191.7
Frequency of cleaning the “futon” (Japanese mattress and blanket for bedding) with a vacuum cleanera97,451
 A few times a week37973.9
 Once a week10,76311.0
 1–2 times a month16,36916.8
 A few times a year12,19012.5
 Almost never or never54,33255.8
Frequency of airing the “futon” (Japanese mattress and blanket for bedding)a97,446
 A few times a week85958.8
 Once a week23,08123.7
 1–2 times a month36,21437.2
 A few times a year18,21618.7
 Almost never or never11,34011.6
Use of anti-mite covers for “futon” or bedding after getting pregnant96,946
 Yes (%)77678.0
Outdoor timeSpending time outdoors (hours per day)93,9441.0 (1.0–2.0)
Mobile phoneTalk time (per day)97,648
 I do not have a mobile phone1440.1
 None10,01110.3
 Less than 10 min69,38171.1
 For 10–60 min15,72216.1
 More than 1 h23902.4
Number of emails sent and received (per day)97,606
 I do not have a mobile phone1540.2
 None20092.1
 Less than 10 times83,15385.2
 More than 10 times12,29012.6

N number of responses

aAverage throughout the year

Household environment characteristics during pregnancy (MT2) N number of responses aAverage throughout the year Table 6 shows the use of household chemicals during pregnancy (MT2). Most of the participants used a deodorizer or an air freshener, especially in the lavatory. Insect repellents and insecticides were used widely in households: about 60% used “moth repellent for clothes in the closet,” whereas 32% applied “spray insecticide indoors” or “mosquito coil or an electric mosquito repellent mat.” About 40% of the participants had used “medicated soap or antibacterial soap,” “cosmetics with strong perfume or a fragrance,” and “nail polish” at least once since becoming pregnant. The incidence of “coloring or perming hair at a beauty salon” during pregnancy was 50%. Combined with the frequency of “coloring or perming hair at home,” the results indicate that most subjects carried out hair treatments during pregnancy.
Table 6

The use of household chemicals during pregnancy (MT2)

Variables N %
Frequency of refueling a car with gasoline at a self-service gas station97,672
 Everyday1470.2
 4–6 times a week2580.3
 2–3 times a week23542.4
 Once a week89579.2
 1–3 times a month31,91232.7
 Less than once a month19,51820.0
 Never34,52635.3
Use of a deodorizer or an air freshener
 Lavatory97,531
 Yes (%)82,65884.8
 Living room or bedroom97,495
  Yes (%)55,26756.7
Use of a moth repellent for clothes in the closet97,513
 Yes, continuously21,04121.6
 Yes, sometimes36,62637.6
 Never39,84640.9
Use of a spray insecticide indoors96,799
 Yes (%)30,84331.9
Frequency of using a spray insecticide indoors31,676
 Everyday5721.8
 A few times a week349011.0
 Once a week19626.2
 1–3 times a month636820.1
 Less than once a month19,28460.9
Use of a mosquito coil or an electric mosquito repellent mata97,187
 Yes (%)30,89731.8
Frequency of using a mosquito coil or electric mosquito repellent mata31,282
 Everyday898628.7
 A few times a week10,94335.0
 Once a week21757.0
 1–3 times a month419313.4
 Less than once a month498515.9
Use of a liquid insecticide for maggot and mosquito larva97,618
 Yes (%)7100.7
Frequency of using a liquid insecticide for maggot and mosquito larva706
 Everyday273.8
 A few times a week669.3
 Once a week567.9
 1–3 times a month13919.7
 Less than once a month41859.2
Use of an herbicide or a gardening pesticide in a garden, balcony, or farm97,425
 Yes (%)86008.8
Frequency of using an herbicide or a gardening pesticide in a garden, balcony, or farm8534
 Everyday831.0
 A few times a week2012.4
 Once a week2112.5
 1–3 times a month136316.0
 Less than once a month667678.2
Spraying insect repellent on clothes or putting lotion on skin97,152
 Yes (%)23,82924.5
Frequency of spraying insect repellent on clothes or putting lotion on skin24,127
 Everyday5172.1
 A few times a week470119.5
 Once a week21348.8
 1–3 times a month559223.2
 Less than once a month11,18346.4
Use of smoke insecticide indoors97,500
 Yes (%)65786.7
Use of a waterproof spray on clothes or shoes97,468
 Yes (%)11,00511.3
Use of medicated soap or antibacterial soap97,339
 Yes (%)41,17842.3
Use of a body deodorant97,430
 Yes (%)32,95133.8
Use of cosmetics with strong perfume or a fragrance97,588
 Quite often27372.8
 Sometimes14,61315.0
 Rarely19,46519.9
 Never60,77362.3
Manicuring or using nail polish97,608
 Quite often56475.8
 Sometimes18,31318.8
 Rarely14,33214.7
 Never59,31660.8
Use of hair coloring products (e.g., hair dye) or perm solutions at home97,616
 Quite often12461.3
 Sometimes11,80112.1
 Rarely91859.4
 Never75,38477.2
Coloring or perming hair at a beauty salon97,585
 Quite often31673.2
 Sometimes28,75029.5
 Rarely17,10017.5
 Never48,56849.8
Use of sunscreen97,635
 Quite often31,14431.9
 Sometimes27,03827.7
 Rarely96229.9
 Never29,83130.6
Using drug for treatment of scabies or lice97,613
 Yes (%)5580.6

N number of valid responses

aContinuously for more than a few hours

The use of household chemicals during pregnancy (MT2) N number of valid responses aContinuously for more than a few hours

Discussion

We developed an in-house exposure questionnaire for the use in JECS since there were no standardized ones available. Almost two identical questionnaires were administered during pregnancy. The exposure data included dwelling conditions, indoor environment, daily life consumer product uses, and occupation. To our knowledge, this is the first of its kind in Japan to characterize over 100,000 pregnant women’s exposure data by the questionnaire. The mean gestational age (SD) at the time of the MT1 questionnaire responses was 16.4 (8.0), which means about half of the participants responded the MT1 questionnaire during the second-trimester period of pregnancy or later. We intended to recruit the participants in early pregnancy but did not restrict to be in the first trimester. Some of the participants were registered at their mid to late pregnancy. When we exclude the responses from the mothers who responded during their gestational ages greater than 16 weeks from the MT1 questionnaire data analysis, the results were similar to those presented in Table 1 (data not shown). The timing of the questionnaire response must be taken into account when researchers use the MT1 questionnaire data for later analysis. Most of the participants had little occupational exposure to chemicals during pregnancy, while 30–40% of the participants reported the use of personal care products and household pesticide application. Of the participants, 20–30% had consumed convenience foods such as fast foods and retort pouch foods more than once a week within the month prior to the survey, suggesting exposure to chemicals in preservatives or food-packaging materials such as phthalates and bisphenols. Phthalates and bisphenols are suspected endocrine disrupters and have been adversely associated with child health. This information can be used not only to analyze the association between environmental factors and children’s health but also in the future planning of the JECS exposure assessment using biomonitoring. The Danish National Birth Cohort reported that heavy object lifting was associated with an increased risk of preterm birth in a dose–response manner [15]. Although no exposure–response relationship was observed for fetal death, Mocevic et al. [16] found an increased risk of stillbirth (fetal death ≥ 22 gestational weeks) among those who lifted more than 200 kg/day. In the Danish National Birth Cohort, 16,604 women (26.4%) carried heavy loads (> 20 kg) at work and 475 women (2.9%) lifted more than 1000 kg per day [15]. The Labor Standards Act protects pregnant Japanese women aged ≥ 18 years from tasks that involve heavy object lifting (continuing work, > 20 kg; intermittent work, > 30 kg). In JECS, only 5078 (5.3%) women in the MT1 questionnaire and 3744 (3.9%) women in the MT2 questionnaire lifted loads greater than 20 kg at work (Table 1), though most women in JECS lifted loads greater than 10 kg (including a child) (Table 2). Various case-control studies have shown the relationship between maternal occupational exposure to solvents and some subtypes of malformations, mostly oral clefts [17-20]. Significant associations were also reported between maternal exposure to solvents and cardiac malformations [21, 22] and neural tube defects [20]. A review of the results of 49 studies showed that maternal occupational exposure to chemicals (lead and pesticides) was associated with time to pregnancy [23]. Snijder et al. [24] observed in the Netherlands (the Generation R Study) that maternal occupational exposure to polycyclic aromatic hydrocarbons, phthalates, alkylphenolic compounds, and pesticides influenced adversely several domains of fetal growth (fetal weight). In JECS, the occupational use of insecticides, organic solvents, and metals (sum of chromium, arsenic and cadmium, lead, and mercury) more than once a month was reported by 7.1%, 5.8%, and 0.6% of the participants, respectively (Table 3). These frequencies were slightly higher than those in the Generation R Study (n = 4680) in which the prevalence of maternal occupational use of pesticides, organic solvents, and metals were 0.5%, 4.7%, and 1.1%, respectively [24]. With the exception of mercury, occupational exposure to these chemicals was more prevalent in the JECS participants than in the Generation R participants. Though exposure information obtained from questionnaires could be considered also an important variable, there are few validated standard questionnaire sets. As shown in Table 3, the kappa-coefficients demonstrate mostly fair to moderate agreement between the MT1 and MT2 questionnaires. Since all kappa scores resulted in < 0.61, it suggested that pregnant women could change the chemical use under occupation during pregnancy. The National Health and Nutrition Survey of Japan [25] reported that the frequency of eating out at a restaurant was 25.1% in total women, 47.3% in women 20–29 years old, and 40.4% in women 30–39 years old. The survey reported also that the frequency of eating pre-packed foods was 39.4% in total women more than 20 years old. In JECS, the frequencies of eating out and eating pre-packed foods more than once a week were 45.7% and 37.6%, respectively. This result is similar to that of the National Health and Nutrition Survey in Japan, indicating that this part of the questionnaire is valid also. The 2013 Housing and Land Survey of Japan reported that the proportions of wooden housing and non-wooden, such as steel-frame, housing were 58% and 42%, respectively [26]. The JECS results were similar to those of that survey with wooden and non-wooden dwellings reported by 54% and 45% of participants, respectively. In 1981, the Building Standards Act of Japan was revised to enforce new earthquake-resistance standards. The proportion of housing built after 1981 was 64.9% in the national survey (2013), while that of housing less than 20 years of age was 64.8% in JECS. The mean number of rooms and dwelling area in the national survey (2013) were 4.59 rooms and 94.42 m2 per house, respectively. The mean number of rooms and dwelling area in JECS were 3.89 rooms and 82.32 m2 per house, respectively. These results showed that the JECS participants lived in smaller and relatively newer houses compared with respondents to the national survey (2013). In the questionnaire-based maternal environmental exposure assessment (n = 987) of the INTERGROWTH-21st Project, the rate of household pesticide application was 7.1% (70/987) in respondents from Brazil, China, India, Italy, Kenya, Oman, UK, and the USA [27]. In JECS, the rates of maternal use of moth repellent for clothes, indoor insecticide spray, mosquito coils/mats, liquid insecticides, smoke insecticides, and herbicides were 59%, 32%, 32%, 0.7%, 6.7%, and 8.8%, respectively. People in Japan appear to use more types of pesticides and to use them at a higher rate than people in the abovementioned countries. This indicates the importance of biomonitoring of pesticide chemicals in JECS. There are some limitations of the JECS exposure assessment questionnaires. Firstly, the self-administered questionnaires were developed in-house by the JECS Programme Office and did not go through any validation process using biological or environmental measurements. Much of the exposure data could only be obtained using questionnaires; the accuracy and reliability of which could not be evaluated. However, some of our results were similar to those of national surveys on such topics as dwelling conditions and dietary habits; accordingly, we assumed that these parts of our questionnaires, at least, were somewhat reliable. The other topics had not been studied previously in Japan in either national surveys or scientific publications. To our knowledge, therefore, these results constitute the first report on the exposure status of pregnant women in Japan. Secondly, we investigated the two questionnaires reliability by administering nearly identical questionnaires in MT1 and MT2. However, there were subtle differences in how the questions were expressed in the MT1 and MT2 questionnaires (for details see Additional file 1), which may have affected the responses. In a future study, we plan to verify the questionnaire as thoroughly as possible using quantitative instruments such as biomonitoring and environmental measurements. Lastly, there were some extreme values observed among the questionnaire responses, e.g., 99 years for the “number of years living in the current place of residence,” 91/83 as “the floor living on/number of floors in the apartment building,” 93 for the “number of rooms in the house/apartment,” and 999 m2 for the “size of the floor space of the house/apartment.” Such values were observed in less than 0.01% of cases. We did not exclude these possible outliers from the analysis presented in this paper since there was no way for us to verify the accuracy of these responses. This result will be used to design future JECS exposure assessments with biomonitoring. The questionnaire data will also be used to investigate the associations between environmental factors and children’s health and development when data comes available. Some parts of the questionnaire will be validated using biomonitoring data. Such questionnaire items are of great importance for other epidemiological and exposure studies since there are few validated exposure questionnaires. The validate questionnaire can also be used for a national biomonitoring program as a tool to collect exposure source information.

Conclusions

We characterized the environmental exposures of the JECS participants using two maternal questionnaires. Most of the mothers had little occupational exposure to chemicals during pregnancy. The household use of pesticides was more frequent in JECS than in studies in other countries. It will also be used to investigate the associations between environmental factors and children’s health in the future. Supplementary information about questionnaire items for Tables 1 to 6. (PDF 126 kb)
  23 in total

1.  Cohort profile: the Norwegian Mother and Child Cohort Study (MoBa).

Authors:  Per Magnus; Lorentz M Irgens; Kjell Haug; Wenche Nystad; Rolv Skjaerven; Camilla Stoltenberg
Journal:  Int J Epidemiol       Date:  2006-08-22       Impact factor: 7.196

2.  Maternal occupational exposure to organic solvents during early pregnancy and risks of neural tube defects and orofacial clefts.

Authors:  Tania A Desrosiers; Christina C Lawson; Robert E Meyer; David B Richardson; Julie L Daniels; Martha A Waters; Edwin van Wijngaarden; Peter H Langlois; Paul A Romitti; Adolfo Correa; A Olshan
Journal:  Occup Environ Med       Date:  2012-03-23       Impact factor: 4.402

3.  The exposome: a new paradigm to study the impact of environment on health.

Authors:  Martine Vrijheid
Journal:  Thorax       Date:  2014-06-06       Impact factor: 9.139

4.  Occupational exposure to organic solvent mixtures during pregnancy and the risk of non-syndromic oral clefts.

Authors:  C Chevrier; B Dananché; M Bahuau; A Nelva; C Herman; C Francannet; E Robert-Gnansia; S Cordier
Journal:  Occup Environ Med       Date:  2006-04-27       Impact factor: 4.402

Review 5.  Genes, environments, development and asthma: a reappraisal.

Authors:  F D Martinez
Journal:  Eur Respir J       Date:  2007-01       Impact factor: 16.671

6.  Maternal occupational risk factors for oral clefts. Occupational Exposure and Congenital Malformation Working Group.

Authors:  C Lorente; S Cordier; A Bergeret; H E De Walle; J Goujard; S Aymé; R Knill-Jones; E Calzolari; F Bianchi
Journal:  Scand J Work Environ Health       Date:  2000-04       Impact factor: 5.024

7.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Stephen S Lim; Theo Vos; Abraham D Flaxman; Goodarz Danaei; Kenji Shibuya; Heather Adair-Rohani; Markus Amann; H Ross Anderson; Kathryn G Andrews; Martin Aryee; Charles Atkinson; Loraine J Bacchus; Adil N Bahalim; Kalpana Balakrishnan; John Balmes; Suzanne Barker-Collo; Amanda Baxter; Michelle L Bell; Jed D Blore; Fiona Blyth; Carissa Bonner; Guilherme Borges; Rupert Bourne; Michel Boussinesq; Michael Brauer; Peter Brooks; Nigel G Bruce; Bert Brunekreef; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Fiona Bull; Richard T Burnett; Tim E Byers; Bianca Calabria; Jonathan Carapetis; Emily Carnahan; Zoe Chafe; Fiona Charlson; Honglei Chen; Jian Shen Chen; Andrew Tai-Ann Cheng; Jennifer Christine Child; Aaron Cohen; K Ellicott Colson; Benjamin C Cowie; Sarah Darby; Susan Darling; Adrian Davis; Louisa Degenhardt; Frank Dentener; Don C Des Jarlais; Karen Devries; Mukesh Dherani; Eric L Ding; E Ray Dorsey; Tim Driscoll; Karen Edmond; Suad Eltahir Ali; Rebecca E Engell; Patricia J Erwin; Saman Fahimi; Gail Falder; Farshad Farzadfar; Alize Ferrari; Mariel M Finucane; Seth Flaxman; Francis Gerry R Fowkes; Greg Freedman; Michael K Freeman; Emmanuela Gakidou; Santu Ghosh; Edward Giovannucci; Gerhard Gmel; Kathryn Graham; Rebecca Grainger; Bridget Grant; David Gunnell; Hialy R Gutierrez; Wayne Hall; Hans W Hoek; Anthony Hogan; H Dean Hosgood; Damian Hoy; Howard Hu; Bryan J Hubbell; Sally J Hutchings; Sydney E Ibeanusi; Gemma L Jacklyn; Rashmi Jasrasaria; Jost B Jonas; Haidong Kan; John A Kanis; Nicholas Kassebaum; Norito Kawakami; Young-Ho Khang; Shahab Khatibzadeh; Jon-Paul Khoo; Cindy Kok; Francine Laden; Ratilal Lalloo; Qing Lan; Tim Lathlean; Janet L Leasher; James Leigh; Yang Li; John Kent Lin; Steven E Lipshultz; Stephanie London; Rafael Lozano; Yuan Lu; Joelle Mak; Reza Malekzadeh; Leslie Mallinger; Wagner Marcenes; Lyn March; Robin Marks; Randall Martin; Paul McGale; John McGrath; Sumi Mehta; George A Mensah; Tony R Merriman; Renata Micha; Catherine Michaud; Vinod Mishra; Khayriyyah Mohd Hanafiah; Ali A Mokdad; Lidia Morawska; Dariush Mozaffarian; Tasha Murphy; Mohsen Naghavi; Bruce Neal; Paul K Nelson; Joan Miquel Nolla; Rosana Norman; Casey Olives; Saad B Omer; Jessica Orchard; Richard Osborne; Bart Ostro; Andrew Page; Kiran D Pandey; Charles D H Parry; Erin Passmore; Jayadeep Patra; Neil Pearce; Pamela M Pelizzari; Max Petzold; Michael R Phillips; Dan Pope; C Arden Pope; John Powles; Mayuree Rao; Homie Razavi; Eva A Rehfuess; Jürgen T Rehm; Beate Ritz; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Jose A Rodriguez-Portales; Isabelle Romieu; Robin Room; Lisa C Rosenfeld; Ananya Roy; Lesley Rushton; Joshua A Salomon; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; Amir Sapkota; Soraya Seedat; Peilin Shi; Kevin Shield; Rupak Shivakoti; Gitanjali M Singh; David A Sleet; Emma Smith; Kirk R Smith; Nicolas J C Stapelberg; Kyle Steenland; Heidi Stöckl; Lars Jacob Stovner; Kurt Straif; Lahn Straney; George D Thurston; Jimmy H Tran; Rita Van Dingenen; Aaron van Donkelaar; J Lennert Veerman; Lakshmi Vijayakumar; Robert Weintraub; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Warwick Williams; Nicholas Wilson; Anthony D Woolf; Paul Yip; Jan M Zielinski; Alan D Lopez; Christopher J L Murray; Majid Ezzati; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

8.  Occupational exposure to chemicals and fetal growth: the Generation R Study.

Authors:  Claudia A Snijder; Nel Roeleveld; Egbert Te Velde; Eric A P Steegers; Hein Raat; Albert Hofman; Vincent W V Jaddoe; Alex Burdorf
Journal:  Hum Reprod       Date:  2012-01-02       Impact factor: 6.918

9.  Rationale and study design of the Japan environment and children's study (JECS).

Authors:  Toshihiro Kawamoto; Hiroshi Nitta; Katsuyuki Murata; Eisaku Toda; Naoya Tsukamoto; Manabu Hasegawa; Zentaro Yamagata; Fujio Kayama; Reiko Kishi; Yukihiro Ohya; Hirohisa Saito; Haruhiko Sago; Makiko Okuyama; Tsutomu Ogata; Susumu Yokoya; Yuji Koresawa; Yasuyuki Shibata; Shoji Nakayama; Takehiro Michikawa; Ayano Takeuchi; Hiroshi Satoh
Journal:  BMC Public Health       Date:  2014-01-10       Impact factor: 3.295

10.  The Japan Environment and Children's Study (JECS): A Preliminary Report on Selected Characteristics of Approximately 10 000 Pregnant Women Recruited During the First Year of the Study.

Authors:  Takehiro Michikawa; Hiroshi Nitta; Shoji F Nakayama; Masaji Ono; Junzo Yonemoto; Kenji Tamura; Eiko Suda; Hiroyasu Ito; Ayano Takeuchi; Toshihiro Kawamoto
Journal:  J Epidemiol       Date:  2015-04-25       Impact factor: 3.211

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  17 in total

1.  Infantile neuroblastoma and maternal occupational exposure to medical agents.

Authors:  Yuhki Koga; Masafumi Sanefuji; Syunichiro Toya; Utako Oba; Kentaro Nakashima; Hiroaki Ono; Shunsuke Yamamoto; Maya Suzuki; Yuri Sonoda; Masanobu Ogawa; Hiroyuki Yamamoto; Koichi Kusuhara; Shouichi Ohga
Journal:  Pediatr Res       Date:  2021-07-09       Impact factor: 3.756

2.  Association between Prenatal Exposure to Household Pesticides and Neonatal Weight and Length Growth in the Japan Environment and Children's Study.

Authors:  Taro Matsuki; Takeshi Ebara; Hazuki Tamada; Yuki Ito; Yasuyuki Yamada; Hirohisa Kano; Takahiro Kurihara; Hirotaka Sato; Sayaka Kato; Shinji Saitoh; Mayumi Sugiura-Ogasawara; Michihiro Kamijima
Journal:  Int J Environ Res Public Health       Date:  2020-06-26       Impact factor: 3.390

3.  Association between maternal insecticide use and otitis media in one-year-old children in the Japan Environment and Children's Study.

Authors:  Takeshi Utsunomiya; Naoko Taniguchi; Yohei Taniguchi; Tetsuro Fujino; Yasuhiko Tanaka; Hideki Hasunuma; Masumi Okuda; Masayuki Shima; Yasuhiro Takeshima
Journal:  Sci Rep       Date:  2022-01-25       Impact factor: 4.379

4.  Association of Maternal Total Cholesterol With SGA or LGA Birth at Term: the Japan Environment and Children's Study.

Authors:  Kayo Kaneko; Yuki Ito; Takeshi Ebara; Sayaka Kato; Taro Matsuki; Hazuki Tamada; Hirotaka Sato; Shinji Saitoh; Mayumi Sugiura-Ogasawara; Shin Yamazaki; Yukihiro Ohya; Reiko Kishi; Nobuo Yaegashi; Koichi Hashimoto; Chisato Mori; Shuichi Ito; Zentaro Yamagata; Hidekuni Inadera; Takeo Nakayama; Hiroyasu Iso; Masayuki Shima; Youichi Kurozawa; Narufumi Suganuma; Koichi Kusuhara; Takahiko Katoh; Michihiro Kamijima
Journal:  J Clin Endocrinol Metab       Date:  2022-01-01       Impact factor: 5.958

5.  Maternal alcohol consumption and risk of offspring with congenital malformation: the Japan Environment and Children's Study.

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6.  Elective cesarean delivery at term and its effects on respiratory distress at birth in Japan: The Japan Environment and Children's Study.

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Journal:  Health Sci Rep       Date:  2021-10-14

7.  Association between Maternal Exposure to Chemicals during Pregnancy and the Risk of Foetal Death: The Japan Environment and Children's Study.

Authors:  Tadao Ooka; Sayaka Horiuchi; Ryoji Shinohara; Reiji Kojima; Yuka Akiyama; Kunio Miyake; Sanae Otawa; Hiroshi Yokomichi; Zentaro Yamagata
Journal:  Int J Environ Res Public Health       Date:  2021-11-09       Impact factor: 3.390

8.  Prospective association of air purifier use during pregnancy with the neurodevelopment of toddlers in the Japan Environment and Children's Study.

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Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

9.  Urinary Metabolites of Organophosphate Pesticides among Pregnant Women Participating in the Japan Environment and Children's Study (JECS).

Authors:  Yukiko Nishihama; Shoji F Nakayama; Tomohiko Isobe; Chau-Ren Jung; Miyuki Iwai-Shimada; Yayoi Kobayashi; Takehiro Michikawa; Makiko Sekiyama; Yu Taniguchi; Shin Yamazaki
Journal:  Int J Environ Res Public Health       Date:  2021-05-31       Impact factor: 3.390

10.  Association of the incidence of atopic dermatitis until 3 years old with birth month and with sunshine duration and humidity in the first 6 months of life: Japan Environment and Children's Study.

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