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Erschienen in: Environmental Health and Preventive Medicine 1/2018

Open Access 01.12.2018 | Research article

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

verfasst von: Miyuki Iwai-Shimada, Shoji F. Nakayama, Tomohiko Isobe, Takehiro Michikawa, Shin Yamazaki, Hiroshi Nitta, Ayano Takeuchi, Yayoi Kobayashi, Kenji Tamura, Eiko Suda, Masaji Ono, Junzo Yonemoto, Toshihiro Kawamoto, the Japan Environment and Children’s Study Group

Erschienen in: Environmental Health and Preventive Medicine | Ausgabe 1/2018

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.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12199-018-0733-0) contains supplementary material, which is available to authorized users.
Abkürzungen
JECS
Japan Environment and Children’s Study
MT1
First trimester
MT2
Second/third trimester

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 [13]. 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.

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)
Variables
MT1
MT2
P
N
%
N
%
 
I have been engaged in at least one of the following activities from nos. 1 to 7 after becoming pregnant
 Yes
13,410
14.0
11,306
11.8
< 0.0001
 No
82,070
86.0
84,174
88.2
 
1. Lifting objects that weigh more than 20 kg
 Yes
5078
5.3
3744
3.9
< 0.0001
 No
90,402
94.7
91,736
96.1
 
2. Exposed to loud noise
 Yes
3353
3.5
3597
3.8
< 0.0001
 No
92,127
96.5
91,883
96.2
 
3. Going in and out of commercial refrigerator or freezer
 Yes
2646
2.8
2091
2.2
< 0.0001
 No
92,834
97.2
93,389
97.8
 
4. Working in a hot place that makes one sweat
 Yes
1841
1.9
1719
1.8
0.0078
 No
93,639
98.1
93,761
98.2
 
5. Using organic solvent
 Yes
1508
1.6
1583
1.7
0.0288
 No
93,972
98.4
93,897
98.3
 
6. Handling powder dust
 Yes
810
0.8
850
0.9
0.1211
 No
94,670
99.2
94,630
99.1
 
7. Using manufacturing tools with vibration
 Yes
417
0.4
565
0.6
< 0.0001
 No
95,063
99.6
94,915
99.4
 
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
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 pregnant
97,587
 
 Never
32,133
32.9
 1–3 times a month
17,251
17.7
 1–4 times a week
15,582
16.0
 5 times a week or more
32,621
33.4
Living or working in a noisy environment after becoming pregnant
97,502
 
 No
87,260
89.5
 Yes
10,242
10.5
Frequency of working sometime between 10 p.m. and dawn after becoming pregnant
97,491
 
 Never
89,394
91.7
 1–3 times a month
4614
4.7
 1–4 times a week
3002
3.1
 5 times a week or more
481
0.5
Frequency of working in a hot place that makes one sweaty after becoming pregnant
97,472
 
 Never
89,385
91.7
 1–3 times a month
3979
4.1
 1–4 times a week
3059
3.1
 5 times a week or more
1049
1.1
Frequency of going in and out of a commercial refrigerator or freezer after becoming pregnant
97,396
 
 Never
93,039
95.5
 1–3 times a month
1506
1.6
 1–4 times a week
1967
2.0
 5 times a week or more
884
0.9
Frequency of using a tool/equipment or riding a vehicle with a strong vibration after becoming pregnant
97,453
 
 Never
95,911
98.4
 1–3 times a month
939
1.0
 1–4 times a week
383
0.4
 5 times a week or more
220
0.2
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)
 
MT1
MT2
N
%
%
Kappa scores
Anti-cancer drug (not including your own remedy)
N = 63,576
 No
98.7
98.8
0.54
 1–3 times a month
0.8
0.9
 1–6 times a week
0.4
0.3
 Everyday
< 0.1
0.1
Lead-free solder
N = 63,388
 No
99.7
99.7
0.54
 1–3 times a month
0.1
0.1
 1–6 times a week
0.1
0.2
 Everyday
0.1
0.1
Any products containing lead like solder
N = 63,388
 No
99.7
99.7
0.45
 1–3 times a month
0.2
0.2
 1–6 times a week
0.1
0.1
 Everyday
0.1
0.1
Formalin, formaldehyde
N = 63,584
 No
99.2
99.2
0.44
 1–3 times a month
0.5
0.5
 1–6 times a week
0.3
0.2
 Everyday
0.1
0.1
Microbes
N = 63,399
 No
99.6
99.6
0.44
 1–3 times a month
0.2
0.2
 1–6 times a week
0.2
0.1
 Everyday
0.1
0.1
General anesthetic for surgery at hospital
N = 63,611
 No
99.2
99.1
0.42
 1–3 times a month
0.4
0.5
 1–6 times a week
0.3
0.3
 Everyday
0.1
0.1
Photo copying machine, laser printer
N = 64,895
 No
70.6
66.1
0.39
 1–3 times a month
8.1
11.4
 1–6 times a week
14.2
15.2
 Everyday
7.1
7.3
Radiation, radioactive substances, isotopes
N = 63,385
 No
98.1
98.5
0.38
 1–3 times a month
0.9
0.7
 1–6 times a week
0.8
0.5
 Everyday
0.3
0.2
Medical sterilizing disinfectant
N = 63,931
 No
88.5
86.8
0.37
 1–3 times a month
3.3
5.3
 1–6 times a week
6.0
5.8
 Everyday
2.3
2.0
Dyestuffs (hair coloring)
N = 62,560
 No
93.4
90.8
0.32
 1–3 times a month
5.5
8.0
 1–6 times a week
0.6
0.7
Everyday
0.4
0.5
Permanent marker
N = 64,471
 No
70.3
60.5
0.30
 1–3 times a month
15.8
23.6
 1–6 times a week
11.1
13.2
 Everyday
2.8
2.7
Paint
N = 63,569
 No
80.0
72.9
0.29
 1–3 times a month
10.2
15.5
 1–6 times a week
7.8
9.1
 Everyday
2.4
2.5
Chromium, arsenic, cadmium
N = 63,386
 No
99.9
99.9
0.28
 1–3 times a month
< 0.1
< 0.1
 1–6 times a week
< 0.1
< 0.1
 Everyday
< 0.1
< 0.1
Organic solvents
N = 63,471
 No
92.9
91.1
0.27
 1–3 times a month
5.4
7.2
 1–6 times a week
1.4
1.4
 Everyday
0.3
0.3
Chlorine bleach, germicide
N = 64,016
 No
81.1
73.7
0.27
 1–3 times a month
13.2
19.7
 1–6 times a week
4.9
5.8
 Everyday
0.8
0.8
Kerosene, petroleum, benzene, gasoline
N = 63,778
 No
90.2
84.2
0.26
 1–3 times a month
7.7
12.5
 1–6 times a week
2.0
3.2
 Everyday
0.1
0.1
Insecticide
N = 63646
 No
94.3
91.9
0.21
 1–3 times a month
4.8
7.0
 1–6 times a week
0.9
1.0
 Everyday
0.1
0.1
Herbicide
N = 62837
 No
99.4
98.9
0.19
 1–3 times a month
0.6
1.1
 1–6 times a week
< 0.1
< 0.1
 Everyday
< 0.1
< 0.1
Engine oil
N = 63519
 No
99.0
99.2
0.18
 1–3 times a month
0.7
0.6
 1–6 times a week
0.2
0.2
 Everyday
0.1
0.1
Mercury
N = 63,288
 No
99.7
99.4
0.07
 1–3 times a month
0.3
0.5
 1–6 times a week
< 0.1
< 0.1
 Everyday
< 0.1
< 0.1
Agricultural chemical not listed above or unidentified
N = 64,388
 No
99.8
No data
 
 1–3 times a month
0.1
 1– 6 times a week
< 0.1
 Everyday
< 0.1
Other chemical substances
N = 64,313
 No
99.1
No data
 
 1–3 times a month
0.2
 1–6 times a week
0.4
 Everyday
0.3
The questionnaire intended to be administered during the first trimester (MT1) and that during the second/third trimester (MT2)
N number of valid responses
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 place
97,528
 
 Less than once a week
52,962
54.3
 1–2 times a week
40,545
41.6
 3–4 times a week
3261
3.3
 5–6 times a week
601
0.6
 Everyday
159
0.2
Eating pre-packed foods sold at convenience stores, supermarkets or box lunch shops
97,505
 
 Less than once a week
60,850
62.4
 1–2 times a week
27,797
28.5
 3–4 times a week
6485
6.7
 5–6 times a week
1798
1.8
 Everyday
575
0.6
Eating frozen foods
97,381
 
 Less than once a week
65,068
66.8
 1–2 times a week
22,767
23.4
 3–4 times a week
7313
7.5
 5–6 times a week
1663
1.7
Everyday
570
0.6
Eating retort pouch foods
97,284
 
 Less than once a week
75,387
77.5
 1–2 times a week
20,012
20.6
 3–4 times a week
1668
1.7
 5–6 times a week
170
0.2
 Everyday
47
< 0.1
Eating instant noodles, soups, or other foods packed in plastic cups that can be cooked by pouring hot water
97,277
 
 Less than once a week
77,380
79.5
 1–2 times a week
17,758
18.3
 3–4 times a week
1869
1.9
 5–6 times a week
213
0.2
 Everyday
57
0.1
Fast-food intake (e.g., French fries, pizza, donuts)
97,367
 
 Less than once a week
82,699
84.9
 1–2 times a week
13,845
14.2
 3–4 times a week
736
0.8
 5–6 times a week
71
0.1
 Everyday
16
< 0.1
Eating canned foods
96,915
 
 Less than once a week
89,919
92.8
 1–2 times a week
6662
6.9
 3–4 times a week
288
0.3
 5–6 times a week
32
< 0.1
 Everyday
14
< 0.1
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)
Category
Variables
N
Median
%
 
(25th–75th percentiles)
 
Dwelling condition and material
Type of residence
97,315
  
 Wooden detached house
40,269
 
41.4
 Steel-frame detached house
6190
 
6.4
 Wooden multiple-dwelling house/apartment
12,042
 
12.4
 Steel-frame multiple-dwelling house/apartment
37,861
 
38.9
 Others
953
 
1.0
Age of house/apartment building
97,238
  
 < 1 year
5432
 
5.6
 1 ≦ year < 3
10,920
 
11.2
 3  ≦ year < 5
9152
 
9.4
 5 ≦ year < 10
14,903
 
15.3
 10 ≦ year < 20
22,610
 
23.3
 20 years ≦
24,576
 
25.3
 Unknown
9672
 
9.9
Number of years living in the current place of residence (years)
94,899
3 (1–5)
 
Floor living on/number of floors in the apartment building
63,509/67,230
2 (1–3)/2 (2–4)
 
Number of rooms in the house/apartment
97,293
3 (3–5)
 
Size of the floor space of the house/apartment (m2)
40,321
67 (50–100)
 
House renovation/interior finishing after getting pregnant
97,242
  
 Yes (%)
3076
 
3.2
Living in an all-electric house/building
97,276
  
 Yes (%)
18,317
 
18.8
Small refuse incinerator on the premises of home
97,408
  
 Yes, but it is no longer used (%)
1298
 
1.3
 Yes, it is used still (%)
2632
 
2.7
Use of a water purifier on a water faucet
97,427
  
 Yes (%)
27,539
 
28.3
Mold
Mold growing somewhere in the house
96,853
  
 Yes (%)
60,946
 
62.9
Number of responses
98,051
  
 Kitchen (yes, %)
10,869
 
11.1
 Living room (yes, %)
2020
 
2.1
 Mother’s bedroom (yes, %)
5306
 
5.4
 Other bedroom (yes, %)
1122
 
1.1
 Bathroom (yes, %)
57,252
 
58.4
 Lavatory (yes, %)
4278
 
4.4
 Other place (yes, %)
2886
 
2.9
Pet
Having a pet currently
97,538
  
 Yes (%)
22,483
 
23.1
Number of responses
98,051
  
 Cat (yes, %)
6852
 
7.0
 Bird (yes, %)
682
 
0.7
 Dog (kept in- and outside of residence, yes, %)
13,597
 
13.9
 Hamster (yes, %)
1018
 
1.0
 Turtle (yes, %)
1166
 
1.2
 Others (yes, %)
4076
 
4.2
Air conditioning
Appliance mainly used to cool rooms in the house/apartment
97,618
  
 Air conditioner
70,702
 
72.4
 Electric fan
24,223
 
24.8
 Others
281
 
0.3
 Nothing
2412
 
2.5
Use of a humidifier during the last year
97,634
  
 Yes (%)
56,469
 
57.8
Use of a dehumidifier/dehumidifying function of an air conditioner during the last year
97,564
  
 Yes (%)
58,808
 
60.3
Use of an air-cleaning device
97,632
  
 Yes (%)
50,235
 
51.5
Heating appliance used in the living room during winter (yes, %)
92,257
  
 Yes (%)
91,587
 
99.3
Type of heating equipment in living room
98,051
  
 Kerosene heater/kerosene fan heater
48,454
 
49.4
 Gas heater/gas fan heater
7800
 
8.0
 Kerosene/gas heater (with a chimney or an exhaust pipe that reaches outside of house)
1514
 
1.5
 Air conditioner/steam heater/oil heater
53,741
 
54.8
 Electric “kotatsu” (a table with an electric heater underneath, with a quilt)/electric heater/electric carpet/other electric heating equipment
58,347
 
59.5
 Central heating/floor heating
5831
 
5.9
 Charcoal/briquette “kotatsu” or “hibachi” (Japanese heating appliance using charcoal as fuel)
669
 
0.7
 Other equipment
2404
 
2.5
Use of any equipment to heat a bed during winter
96,376
  
 Yes (%)
30,262
 
31.4
Type of heating equipment in bed
98,051
  
 Electric “anka” (bed warmer)
2969
 
3.0
 Electric blanket
12,608
 
12.9
 Hot water bottle
16,351
 
16.7
 Other equipment
1800
 
1.8
Cleaning
Materials covering the flooring of the living room
97,475
  
 Tatami (Japanese straw floor covering)
11,285
 
11.6
 Carpet on tatami
8853
 
9.1
 Flooring/wooden flooring/tiles
34,574
 
35.5
 Carpet on flooring/wooden flooring/tiles
40,990
 
42.1
 Other
1773
 
1.8
Frequency of cleaning the floor of the living room with a vacuum cleanera
97,616
  
 Everyday
17,156
 
17.6
 A few times a week
42,918
 
44.0
 Once a week
29,605
 
30.3
 1–2 times a month
5784
 
5.9
 A few times a year
915
 
0.9
 Almost never or never
1238
 
1.3
Frequency of cleaning the floor of the bedroom with a vacuum cleanera
97,617
  
 Everyday
10,824
 
11.1
 A few times a week
38,693
 
39.6
 Once a week
34,392
 
35.2
 1–2 times a month
10,371
 
10.6
 A few times a year
1718
 
1.8
 Almost never or never
1619
 
1.7
Frequency of cleaning the “futon” (Japanese mattress and blanket for bedding) with a vacuum cleanera
97,451
  
 A few times a week
3797
 
3.9
 Once a week
10,763
 
11.0
 1–2 times a month
16,369
 
16.8
 A few times a year
12,190
 
12.5
 Almost never or never
54,332
 
55.8
Frequency of airing the “futon” (Japanese mattress and blanket for bedding)a
97,446
  
 A few times a week
8595
 
8.8
 Once a week
23,081
 
23.7
 1–2 times a month
36,214
 
37.2
 A few times a year
18,216
 
18.7
 Almost never or never
11,340
 
11.6
Use of anti-mite covers for “futon” or bedding after getting pregnant
96,946
  
 Yes (%)
7767
 
8.0
Outdoor time
Spending time outdoors (hours per day)
93,944
1.0 (1.0–2.0)
 
Mobile phone
Talk time (per day)
97,648
  
 I do not have a mobile phone
144
 
0.1
 None
10,011
 
10.3
 Less than 10 min
69,381
 
71.1
 For 10–60 min
15,722
 
16.1
 More than 1 h
2390
 
2.4
Number of emails sent and received (per day)
97,606
  
 I do not have a mobile phone
154
 
0.2
 None
2009
 
2.1
 Less than 10 times
83,153
 
85.2
 More than 10 times
12,290
 
12.6
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 station
97,672
 
 Everyday
147
0.2
 4–6 times a week
258
0.3
 2–3 times a week
2354
2.4
 Once a week
8957
9.2
 1–3 times a month
31,912
32.7
 Less than once a month
19,518
20.0
 Never
34,526
35.3
Use of a deodorizer or an air freshener
 Lavatory
97,531
 
 Yes (%)
82,658
84.8
 Living room or bedroom
97,495
 
  Yes (%)
55,267
56.7
Use of a moth repellent for clothes in the closet
97,513
 
 Yes, continuously
21,041
21.6
 Yes, sometimes
36,626
37.6
 Never
39,846
40.9
Use of a spray insecticide indoors
96,799
 
 Yes (%)
30,843
31.9
Frequency of using a spray insecticide indoors
31,676
 
 Everyday
572
1.8
 A few times a week
3490
11.0
 Once a week
1962
6.2
 1–3 times a month
6368
20.1
 Less than once a month
19,284
60.9
Use of a mosquito coil or an electric mosquito repellent mata
97,187
 
 Yes (%)
30,897
31.8
Frequency of using a mosquito coil or electric mosquito repellent mata
31,282
 
 Everyday
8986
28.7
 A few times a week
10,943
35.0
 Once a week
2175
7.0
 1–3 times a month
4193
13.4
 Less than once a month
4985
15.9
Use of a liquid insecticide for maggot and mosquito larva
97,618
 
 Yes (%)
710
0.7
Frequency of using a liquid insecticide for maggot and mosquito larva
706
 
 Everyday
27
3.8
 A few times a week
66
9.3
 Once a week
56
7.9
 1–3 times a month
139
19.7
 Less than once a month
418
59.2
Use of an herbicide or a gardening pesticide in a garden, balcony, or farm
97,425
 
 Yes (%)
8600
8.8
Frequency of using an herbicide or a gardening pesticide in a garden, balcony, or farm
8534
 
 Everyday
83
1.0
 A few times a week
201
2.4
 Once a week
211
2.5
 1–3 times a month
1363
16.0
 Less than once a month
6676
78.2
Spraying insect repellent on clothes or putting lotion on skin
97,152
 
 Yes (%)
23,829
24.5
Frequency of spraying insect repellent on clothes or putting lotion on skin
24,127
 
 Everyday
517
2.1
 A few times a week
4701
19.5
 Once a week
2134
8.8
 1–3 times a month
5592
23.2
 Less than once a month
11,183
46.4
Use of smoke insecticide indoors
97,500
 
 Yes (%)
6578
6.7
Use of a waterproof spray on clothes or shoes
97,468
 
 Yes (%)
11,005
11.3
Use of medicated soap or antibacterial soap
97,339
 
 Yes (%)
41,178
42.3
Use of a body deodorant
97,430
 
 Yes (%)
32,951
33.8
Use of cosmetics with strong perfume or a fragrance
97,588
 
 Quite often
2737
2.8
 Sometimes
14,613
15.0
 Rarely
19,465
19.9
 Never
60,773
62.3
Manicuring or using nail polish
97,608
 
 Quite often
5647
5.8
 Sometimes
18,313
18.8
 Rarely
14,332
14.7
 Never
59,316
60.8
Use of hair coloring products (e.g., hair dye) or perm solutions at home
97,616
 
 Quite often
1246
1.3
 Sometimes
11,801
12.1
 Rarely
9185
9.4
 Never
75,384
77.2
Coloring or perming hair at a beauty salon
97,585
 
 Quite often
3167
3.2
 Sometimes
28,750
29.5
 Rarely
17,100
17.5
 Never
48,568
49.8
Use of sunscreen
97,635
 
 Quite often
31,144
31.9
 Sometimes
27,038
27.7
 Rarely
9622
9.9
 Never
29,831
30.6
Using drug for treatment of scabies or lice
97,613
 
 Yes (%)
558
0.6
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 [1720]. 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.

Acknowledgements

We would like to express our gratitude to all the JECS study participants. We sincerely express our appreciation to the co-operating health care providers. We gratefully acknowledge Dr. Hiroshi Satoh (Food Safety Commission, Cabinet Office, Tokyo, Japan) who was the former principal investigator of JECS.
Members of the JECS group, as of April 2018 (principal investigator, Toshihiro Kawamoto) were as follows: Yukihiro Ohya (Medical Support Center for JECS, National Centre for Child Health and Development, Tokyo, Japan), Reiko Kishi (Hokkaido Regional Center for JECS, Hokkaido University, Sapporo, Japan), Nobuo Yaegashi (Miyagi Regional Center for JECS, Tohoku University, Sendai, Japan), Koichi Hashimoto (Fukushima Regional Center for JECS, Fukushima Medical University, Fukushima, Japan), Chisato Mori (Chiba Regional Center for JECS, Chiba University, Chiba, Japan), Shuichi Ito (Kanagawa Regional Center for JECS, Yokohama City University, Yokohama, Japan), Zentaro Yamagata (Koshin Regional Center for JECS, University of Yamanashi, Yamanashi, Japan), Hidekuni Inadera (Toyama Regional Center for JECS, University of Toyama, Toyama, Japan), Michihiro Kamijima (Aichi Regional Center for JECS, Nagoya City University, Nagoya, Japan), Takeo Nakayama (Kyoto Regional Center for JECS, Kyoto University, Kyoto, Japan), Hiroyasu Iso (Osaka Regional Center for JECS, Osaka University, Osaka, Japan), Masayuki Shima (Hyogo Regional Center for JECS, Hyogo College of Medicine, Nishinomiya, Japan), Yasuaki Hirooka (Tottori Regional Center for JECS, Tottori University, Yonago, Japan), Narufumi Suganuma (Kochi Regional Center for JECS, Kochi University, Nankoku, Japan), Koichi Kusuhara (Fukuoka Regional Center for JECS, Kyushu University, Kitakyushu, Japan), and Takahiko Katoh (South Kyushu/Okinawa Regional Center for JECS, Kumamoto University, Kumamoto, Japan).

Funding

The Japan Environment and Children’s Study was funded by the Ministry of the Environment, Japan. The Ministry of the Environment does not ever content of this article. The findings and conclusions of this article are solely the responsibility of the authors and do not represent the official views of the above government agency.

Availability of data and materials

It is not possible to share the raw research data publicly since data privacy could be compromised. Data are unsuitable for public deposition due to ethical restrictions and legal framework of Japan. It is prohibited by the Act on the Protection of Personal Information (Act No. 57 of 30 May 2003, amendment on 9 September 2015) to publicly deposit the data containing personal information. Ethical Guidelines for Medical and Health Research Involving Human Subjects enforced by the Japan Ministry of Education, Culture, Sports, Science and Technology and the Ministry of Health, Labour and Welfare also restricts the open sharing of the epidemiologic data.
The study protocol was approved by the Ministry of the Environment’s Institutional Review Board on Epidemiological Studies as well as the ethics committees of all participating institutions. All the participants provided written informed consent.
Not applicable

Competing interests

The authors declare that they have no competing interests.

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Metadaten
Titel
Questionnaire results on exposure characteristics of pregnant women participating in the Japan Environment and Children Study (JECS)
verfasst von
Miyuki Iwai-Shimada
Shoji F. Nakayama
Tomohiko Isobe
Takehiro Michikawa
Shin Yamazaki
Hiroshi Nitta
Ayano Takeuchi
Yayoi Kobayashi
Kenji Tamura
Eiko Suda
Masaji Ono
Junzo Yonemoto
Toshihiro Kawamoto
the Japan Environment and Children’s Study Group
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
Environmental Health and Preventive Medicine / Ausgabe 1/2018
Print ISSN: 1342-078X
Elektronische ISSN: 1347-4715
DOI
https://doi.org/10.1186/s12199-018-0733-0

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