Background: The five-question Mental Health Inventory (MHI-5) is a brief questionnaire that can be used to screen for depressive symptoms. Removing the 2 anxiety-related items from the MHI-5 yields the MHI-3. We assessed the performance of the Japanese versions of the MHI-5 and MHI-3 in detecting depressive symptoms in the general population of Japan. Methods: From the population of Japan, 4500 people 16 years old or older were selected by stratified-random sampling. The Medical Outcomes Study 36-Item Short Form Health Survey (SF-36, which includes the MHI-5) and the Zung Self-rating Depression Scale (ZSDS) were included in a self-administered questionnaire. ZSDS scores of 48 and above were taken to indicate the presence of moderate or severe depressive symptoms, and scores of 56 and above were taken to indicate the presence of severe depressive symptoms. We computed the correlation coefficient between the ZSDS score and the scores on the MHI-5 and MHI-3. We also computed the sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve. Results: Of the 3107 subjects (69% of the 4500 initially selected), 14.0% had moderate or severe depressive symptoms, and 2.0% had severe depressive symptoms as measured with the ZSDS. The correlations of ZSDS scores with MHI-5 scores and with MHI-3 scores were similar: -0.63 and -0.61, respectively. These correlation coefficients were almost the same whether or not the data were stratified by age and sex. For detecting severe depressive symptoms with the MHI-5, the area under the ROC curve was 0.942 (95%CI: 0.919 – 0.965); for the MHI-3, it was 0.933 (95%CI: 0.904 – 0.962). Conclusion: The MHI-5 and MHI-3 scores were correlated with the ZSDS score, and can be used to identify people with depressive symptoms in the general population of Japan.

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. 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. 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.” We summarized the exposure characteristics of the JECS participants using two maternal questionnaires during pregnancy.

Background:The Japan Environment and Children’s Study (JECS) is a nationwide birth cohort study investigating environmental effects on children’s health and development. A Sub-Cohort Study has begun, conducting extended exposure and outcome measurements by targeting a subgroup randomly selected from the JECS Main Study. We report the Sub-Cohort Study methodology and participants’ baseline profiles.Methods:Of 100,148 children in the JECS Main Study, children born after 1 April 2013 who met eligibility criteria ([1] all questionnaire and medical record data from children and their mothers collected from the first trimester to 6 months of age, [2] biospecimens [except umbilical cord blood] from children and their mothers collected at first to second/third trimester and delivery) were randomly selected for each Regional Centre at regular intervals. Face-to-face assessment of neuropsychiatric development, body measurement, paediatrician’s examination, blood/urine collection for clinical testing and chemical analysis, and home visits (ambient and indoor air measurement and dust collection) are conducted. Participants are followed up at 1.5 and 3 years old for home visits, and 2, 4, 6 and 8 years old for developmental/medical examination. The details of protocols after age 10 are under discussion.Results:Of 10,302 selected children, 5,017 participated. The profiles of the participating mothers, fathers and children did not substantially differ between the Main Study and Sub-Cohort Study.Conclusion:The JECS Sub-Cohort Study offers a platform for investigating associations between environmental exposure and outcomes.

Few studies have assessed the accuracy of self-reported questionnaires to determine smoking habits relative to urinary biomarkers. This study investigated urinary cotinine cut-off concentrations distinguishing active, passive and non-smokers among pregnant women who participated in the Japan Environment and Children’s Study, a nationwide birth cohort study. Pregnant participants with measured urinary cotinine concentrations (UCCs) and who completed self-reported questionnaires on smoking status were included (n = 89,895). The cut-off values (COVs) for active and passive smokers were calculated by fitting mixed normal distribution functions to UCCs. The sensitivity and specificity of the questionnaires were subsequently evaluated. The median (interquartile range) UCC was 0.24 (0.083–0.96) µg/g-creatinine, with the detection rate of 89%. The COV for distinguishing active smokers from passive and non-smokers was 36.8 µg/g-creatinine. When this COV was considered to represent the true condition, the questionnaire had a sensitivity of 0.523, a specificity of 0.998, a positive predictive value (PPV) of 0.967 and a negative predictive value (NPV) of 0.957. The COV for distinguishing passive smokers from non-smokers was 0.31 µg/g-creatinine, with the questionnaire having a sensitivity of 0.222, a specificity of 0.977, a PPV of 0.868 and an NPV of 0.644. As many as 78% of passive smokers might be misclassified as non-smokers.

Background: Despite dramatic declines in prenatal maternal blood lead levels (BLLs) in most developed countries, little is known about the effects of extremely low-level (<1.0 µg/dL) lead exposure on fetal growth. Methods: We measured maternal BLL during the second or third trimester of pregnancy and assessed birth outcomes, including birthweight, preterm birth (<37 gestational weeks) risk, small for gestational age births (SGA; birthweight <10th percentile) and low birthweight (LBW; <2500 g). The association between birthweight and maternal BLL was estimated using linear and quadratic spline models. Multivariable logistic models were used to examine the risk of binary responses. Results: From 103 099 pregnant women, 20 000 blood samples were randomly selected for analysis. The maternal BLL range was 0.16–7.4 µg/dL, and the median was 0.63 µg/dL. After adjusting for covariates, the linear model showed that each 0.1 μg/dL increase in maternal BLL was associated with a 5.4 g decrease in mean birthweight [95% confidence interval (CI), 3.4 to 7.5 g]. The risk of SGA [adjusted odds ratio (aOR), 1.03; 95% CI, 1.02 to 1.05) and LBW (aOR, 1.03; 95% CI, 1.02 to 1.05) increased, whereas the risk of preterm delivery did not (aOR, 0.99; 95% CI, 0.97 to 1.02). Conclusions: Even at a maternal BLL below 1.0 µg/dL, prenatal lead exposure was associated with decreased birthweight and increased risk of SGA and LBW, but not preterm delivery. The adverse effect estimates of prenatal lead exposure on birth outcomes were quantitatively small and clinically limited at this low level.

Manganese (Mn) is both an essential element and a potential toxicant. Although a few studies have suggested a nonlinear relationship between the maternal whole blood Mn level at delivery and infant birth weight, little is known about the effects of Mn levels during pregnancy on fetal growth, particularly with regard to sex-specific differences. In this nationwide birth cohort study, we examined the association of maternal blood Mn level during pregnancy with infant birth weight, length, and head circumference in 16,473 mother-infant pairs. Pregnant women living in 15 regions across Japan were recruited between January 2011 and March 2014. The analysis of birth size (8,484 males and 7,989 females) was conducted using a nonlinear spline, followed by the use of quadratic regression or linear regression models. The analysis of small-for-gestational-age (SGA) (6,962 males and 6,528 females born vaginally) was conducted using multivariate logistic regression. Additionally, subgroup analysis was conducted according to the timing of blood sampling. The median maternal blood Mn level during pregnancy (i.e., 2nd and 3rd trimesters) was 16.2 µg/L (range, 4.3-44.5 µg/L). A positive linear association between the log blood Mn level and head circumference was observed in both male and female infants. However, a nonlinear relationship between the log blood Mn level and birth weight was observed only in male infants, such that the birth weight increased up to a blood Mn level of 18.6 µg/L. In the subgroup analysis stratified by the timing of maternal blood sampling, this nonlinear relationship was obvious only when sampling was performed in the 3rd trimester. Male infants in the lowest blood Mn level quartile (≤ 13.2 µg/L) faced an increased risk of SGA (odds ratio [95% confidence interval] = 1.35 [1.04-1.74]), as did those in the highest blood Mn level quartile (≥ 21.0 µg/L) when sampling was performed during the 3rd trimester (odds ratio [95% confidence interval] = 1.62 [1.10 to 2.39]), compared to those in the third blood Mn level quartile (the category including 18.6 µg/L). No association of blood Mn level with birth weight was observed among female infants, and blood Mn level was not associated with birth length in either male or female infants. A low blood Mn level during pregnancy or a high blood Mn level during the 3rd trimester was associated with a lower birth weight and increased risk of SGA in male infants, but not in female infants. A low blood Mn level was found to correlate slightly with a small head circumference among infants of both sexes.