Maternal Mushroom Consumption During Pregnancy Is Associated With Decreased Risk of Peer Problems and Decreased Risk of Low Prosocial Behavior in 5‐Year‐Olds
Mai Quynh Nguyen, Yoshihiro Miyake, Keiko Tanaka, Shizuka Hasuo, Yoshitaka Nakamura, Hitomi Okubo

TL;DR
Eating mushrooms during pregnancy may lower the risk of behavioral issues in children at age 5.
Contribution
This study identifies a novel link between maternal mushroom consumption and reduced behavioral problems in children.
Findings
Higher maternal mushroom intake was linked to fewer peer problems in 5-year-olds.
Mushroom consumption during pregnancy was associated with less low prosocial behavior in children.
Abstract
Edible mushrooms have long been recognized for their nutritional value. In the Kyushu Okinawa Maternal and Child Health Study, a prebirth cohort study, we examined the association between maternal mushroom intake during pregnancy and risk of childhood behavioral problems in Japanese 5‐year‐olds. A total of 1199 mother–child pairs were included as study subjects. In the baseline survey, dietary intake was assessed using a diet history questionnaire. In the follow‐up survey, emotional problems, conduct problems, hyperactivity problems, peer problems, and low prosocial behavior were assessed using the parent‐reported version of the Strengths and Difficulties Questionnaire. Adjustments were made for a priori–selected non‐dietary confounders and potentially related dietary factors. A significant inverse exposure–response association was observed between maternal mushroom consumption during…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Total ( | Mushroom | |||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 |
| ||
| Baseline characteristics | ||||||
| Maternal age, years | 32.0 (29.0–34.0) | 32.0 | 31.0 | 32.0 | 32.0 | 0.09 |
| Gestation, weeks | 17.0 (14.0–21.0) | 17.0 | 17.0 | 17.0 | 18.0 | 0.59 |
| Region of residence, % | 0.005 | |||||
| Fukuoka Prefecture | 57.8 | 61.9 | 56.0 | 61.0 | 52.3 | |
| Other than Fukuoka Prefecture in Kyushu | 32.8 | 25.8 | 32.3 | 33.0 | 40.0 | |
| Okinawa Prefecture | 9.4 | 12.4 | 11.7 | 6.0 | 7.7 | |
| Number of living children born to the same mother, % | 0.41 | |||||
| 0 | 40.4 | 41.5 | 45.7 | 36.0 | 38.3 | |
| 1 | 40.0 | 35.8 | 37.7 | 46.3 | 40.3 | |
| ≥ 2 | 19.6 | 22.7 | 16.7 | 17.7 | 21.3 | |
| Maternal education, years, % | 0.004 | |||||
| < 13 | 20.9 | 25.8 | 21.7 | 19.3 | 16.7 | |
| 13–14 | 33.3 | 35.5 | 31.0 | 31.0 | 35.7 | |
| ≥ 15 | 45.9 | 38.8 | 47.3 | 49.7 | 47.7 | |
| Paternal education, years, % | 0.05 | |||||
| < 13 | 28.6 | 33.4 | 28.0 | 26.0 | 27.0 | |
| 13–14 | 14.4 | 14.4 | 13.3 | 17.3 | 12.7 | |
| ≥ 15 | 57.0 | 52.2 | 58.7 | 56.7 | 60.3 | |
| Household income, yen/year, % | 0.12 | |||||
| < 4,000,000 | 32.2 | 35.1 | 34.7 | 28.0 | 31.0 | |
| 4,000,000–5,999,999 | 37.5 | 38.5 | 34.7 | 37.0 | 39.7 | |
| ≥ 6,000,000 | 30.4 | 26.4 | 30.7 | 35.0 | 29.3 | |
| Maternal depressive symptoms during pregnancy, % | 18.2 | 20.7 | 21.0 | 16.0 | 15.0 | 0.03 |
| Maternal alcohol intake during pregnancy, % | 13.2 | 13.0 | 12.3 | 13.3 | 14.0 | 0.66 |
| Maternal daily intake | ||||||
| Total energy, kJ | 7127 (6117–8465) | 7816 | 6427 | 7201 | 7210 | 0.04 |
| Mushrooms, g | 8.2 (4.6–15.9) | |||||
| Total vegetables, g | 187.2 (139.0–264.4) | |||||
| Vegetables other than green and yellow vegetables, g | 111.2 (79.3–158.9) | |||||
| Total fruits, g | 125.3 (80.8–185.8) | |||||
| Citrus fruit, g | 19.7 (7.0–46.2) | |||||
| Total soy products, g | 46.9 (30.0–70.2) | |||||
| Cow's milk, g | 78.3 (31.4–147.7) | |||||
| Characteristics at the postnatal assessment | ||||||
| Maternal smoking during pregnancy, % | 7.3 | 12.0 | 7.3 | 5.0 | 4.7 | 0.0003 |
| Birth weight, g | 3012 (2772–3246) | 2990 | 3020 | 3033 | 3024 | 0.11 |
| Male sex, % | 47.4 | 44.2 | 50.7 | 48.0 | 46.7 | 0.71 |
| Breastfeeding duration, months, % | < 0.0001 | |||||
| < 6 | 10.8 | 16.4 | 10.7 | 10.3 | 6.0 | |
| ≥ 6 | 89.2 | 83.6 | 89.3 | 89.7 | 94.0 | |
| Smoking in the household during the first year of life, % | 27.4 | 34.5 | 25.3 | 24.7 | 25.3 | 0.02 |
| Variables | Emotional problems | Conduct problems | Hyperactivity problems | Peer problems | Low prosocial behavior | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Risk (%) | Adjusted OR (95% CI) | Risk (%) | Adjusted OR (95% CI) | Risk (%) | Adjusted OR (95% CI) | Risk (%) | Adjusted OR (95% CI) | Risk (%) | Adjusted OR (95% CI) | |
| Mushroom intake | ||||||||||
| Q1 (2.9) | 15.1 | 1.00 | 20.4 | 1.00 | 15.4 | 1.00 | 11.0 | 1.00 | 32.8 | 1.00 |
| Q2 (6.2) | 12.0 |
0.80 (0.49–1.31) | 26.0 |
1.34 (0.90–2.01) | 15.3 |
0.91 (0.57–1.46) | 11.0 |
0.98 (0.58–1.67) | 33.3 |
0.94 (0.66–1.35) |
| Q3 (12.2) | 11.7 |
0.91 (0.55–1.50) | 14.3 |
0.65 (0.41–1.01) | 11.0 |
0.72 (0.43–1.19) | 6.0 |
0.55 (0.29–1.00) | 27.7 |
0.78 (0.54–1.13) |
| Q4 (26.2) | 13.0 |
0.95 (0.58–1.56) | 17.0 |
0.87 (0.56–1.34) | 10.7 |
0.72 (0.42–1.22) | 6.3 |
0.58 (0.31–1.07) | 23.0 |
0.64 (0.43–0.95) |
|
| 0.96 | 0.10 | 0.14 | 0.02 | 0.02 | |||||
- —Japan Society for the Promotion of Science10.13039/501100001691
- —Ministry of Health, Labour and Welfare, Japan10.13039/501100003478
- —Meiji Co. Ltd.
- —Meiji Holdings Co. Ltd.
- —Japan Agency for Medical Research and Development
- —Food Science Institute Foundation (Ryoushoku‐kenkyukai)
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Taxonomy
TopicsSilymarin and Mushroom Poisoning · Fungal Biology and Applications · Maternal Mental Health During Pregnancy and Postpartum
Introduction
1
Various edible mushrooms, such as shiitake (Letinula edodes) and enoki (Flammulina velutipes), have long been recognized for their nutritional values [1, 2, 3]. They are documented as a good source of protein (containing all of the essential amino acids), fiber, vitamins (B_1_, B_2_, B_12_, C, and D), and minerals (potassium, phosphorus, and iron) while being low in fat and cholesterol‐free [2, 3]. The presence of bioactive substances like polysaccharides (e.g., ß‐glucans), unsaturated fatty acids, phenolic compounds, and nucleic acid derivatives contributes to the documented health‐related properties of mushrooms [1, 2]. Previously, utilizing the data from the Kyushu Okinawa Maternal and Child Health Study (KOMCHS), in which the parent version of the Strengths and Difficulties Questionnaire (SDQ) was used for child behavior assessment, we showed that higher maternal intake levels of vitamin B_2_ [4] and calcium [5] during pregnancy were associated with a reduced risk of emotional problems in the born children. Maternal intake of monounsaturated fatty acids, α‐linolenic acid, and linoleic acid was positively related to childhood emotional problems [6]. We have also observed inverse relationships between maternal vitamin C intake during pregnancy and childhood conduct problems [7], between maternal intake of vitamin B_6_ [4], vitamin C [7], calcium [5], and magnesium [8] during pregnancy and childhood hyperactivity problems, as well as between maternal intake of folate, vitamin B_6_ [4], and vitamin C [7] during pregnancy and childhood low prosocial behavior. To the best of our knowledge, no epidemiological investigation has examined the association between mushroom intake during pregnancy and risk of childhood behavioral problems. In this study, we addressed this issue by investigating the association between maternal intake of mushrooms during pregnancy and risk of behavioral problems in 5‐year‐old children using data from the KOMCHS.
Materials and Methods
2
Study Population
2.1
The KOMCHS is a prospective prebirth cohort study that was designed to clarify the risk and preventive factors for maternal and child health problems, such as allergy, developmental disorders, and depressive symptoms. The details of the baseline KOMCHS survey were previously described [9]. In the baseline survey, eligible subjects were women in one of the seven prefectures on Kyushu Island in southern Japan, which has a total population of approximately 13.26 million, or in Okinawa Prefecture, which has a population of nearly 1.37 million, who were pregnant between April 2007 and March 2008. We asked 423 obstetric hospitals in the eight prefectures to provide information leaflets explaining the KOMCHS, an application form to participate in the KOMCHS, and a self‐addressed stamped return envelope to as many pregnant women as possible. Pregnant women who intended to participate in the KOMCHS mailed the application form to the data management center. Using the contact information in this form, research technicians gave each pregnant woman a detailed explanation of the KOMCHS by telephone and sent a self‐administered questionnaire after obtaining verbal consent. Ultimately, 1757 pregnant women between 5 and 39 weeks of gestation provided written informed consent to participate in the KOMCHS and answered a self‐administered questionnaire in the baseline survey. There were multiple waves of surveys conducted in the KOMCHS. Among the 1757 pregnant women from baseline survey, 1590, 1527, 1430, 1362, 1305, 1264, and 1201 mother–child pairs participated in the second (post‐delivery), third (approximately 4 months postpartum), fourth (approximately 12 months postpartum), fifth (approximately 24 months postpartum), sixth (approximately 36 months postpartum), seventh (approximately 48 months postpartum), and eighth (approximately 60 months postpartum) surveys, respectively. Two pairs were excluded due to the lack of data on household income. The final analyses comprised 1199 mother–child pairs. The KOMCHS was approved by the ethics committees at the Faculty of Medicine, Fukuoka University (committee's reference number, 319) and the Ehime University Graduate School of Medicine (committee's reference number, 1504012).
Measurements
2.2
For each survey, study participants completed self‐administered questionnaires and mailed them to the data management center. The research technicians then completed missing data or clarified illogical data through telephone interviews. The first part of the questionnaire at baseline elicited information on maternal age, gestation, region of residence, number of children, maternal and paternal educational levels, household income, and depressive symptoms. Depressive symptoms were assessed using a Japanese version of the Center for Epidemiologic Studies Depression Scale (CES‐D). The total CES‐D score ranged from 0 to 60, and depressive symptoms were defined as being present when a subject had a CES‐D score ≥ 16 [10]. The second part of the questionnaire at baseline was a semi‐quantitative, comprehensive diet history questionnaire (DHQ) to assess dietary habits during the preceding month [11, 12, 13, 14, 15, 16, 17]. Estimates of daily food intake (among 150 foods), energy, and selected nutrients were calculated using an ad hoc computer algorithm for the DHQ based on the Standard Tables of Food Composition in Japan [18]. Energy‐adjusted intake calculated using the residual method was used for the analyses [19]. The questionnaire in the second survey gathered data regarding the infant's sex, birth weight, date of birth, and maternal smoking status during pregnancy. Information on household smoking and breastfeeding duration was obtained from the questionnaire until the fourth survey. In the eighth survey, children's behavioral problems were assessed using a Japanese parent‐reported version of the SDQ, which was designed to assess the behavior and emotions of 3‐ to 16‐year‐old children [20]. The well‐validated SDQ [20, 21, 22] consists of five scales: an emotional problems scale, a conduct problems scale, a hyperactivity problems scale, a peer problems scale, and a prosocial scale. These scales were scored using five items each, resulting in 25 items in total. In the peer problems scale the following items were included: “Rather solitary, tends to play alone,” “Has at least one good friend,” “Generally liked by other children,” “Picked on or bullied by other children,” and “Gets on better with adults than with other children.” For the prosocial scale the items were: “Considerate of other people's feelings,” “Shares readily with other children (treats, toys, pencils, etc.),” “Helpful if someone is hurt, upset or feeling ill,” “Kind to younger children,” and “Often volunteers to help others (parents, teachers, and other children).” Each item was rated using the following 3‐point scale: “not true” (0); “somewhat true” (1); and “certainly true” (2). Positively worded items were reverse‐scored. The items on each scale were added together to generate a score from 0 to 10. A high score on the prosocial scale reflects strengths, whereas high scores on the other 4 scales indicate difficulties. These scale scores were then categorized as normal, borderline, or abnormal based on cut‐off points that had previously been reported in a sample of Japanese children [23].
Statistical Analyses
2.3
The 5 scale scores were dichotomized, comparing children with borderline and abnormal scores to children with normal scores. We defined emotional problems, conduct problems, hyperactivity problems, peer problems, or low prosocial behavior as present when a child had a borderline or abnormal score in the respective scale (> 3, > 3, > 5, > 3, and < 6, respectively). Intake of each of the dietary factors under study was categorized at quartile points based on its distribution among the 1199 mothers. A priori, we selected maternal age, gestation at baseline, region of residence at baseline, number of children at baseline, maternal and paternal education, household income, maternal depressive symptoms during pregnancy, maternal alcohol intake during pregnancy, maternal smoking during pregnancy, child's birth weight, child's sex, secondhand smoke exposure at home during the first year of life, and breastfeeding duration as potential non‐dietary confounding factors. We used maternal age, gestation, and birth weight as continuous variables. The potential dietary confounding factors that were significantly associated with any childhood behavioral problems in the present population were additionally adjusted. Namely, citrus fruit and cow's milk were adjusted for in analyses of the associations with emotional problems [7, 24]; citrus fruit was adjusted for in analyses of the associations with conduct problems [7]; vegetables other than green and yellow vegetables, total fruits [7], and total soy products [25] were adjusted for in analyses of the associations with hyperactivity problems; total soy products [25] was adjusted for in analyses of the associations with peer problems; and total vegetables was adjusted for in analyses of the associations with low prosocial behavior [7]. Sample size was determined by the available cohort. Given the observational design, adequacy of the sample size for multivariable logistic regression was assessed using the events‐per‐variable (EPV) approach [26]. Models included 15–17 covariates, with outcome events ranging from 103 to 350, resulting in EPV values of 9.1, 14.6, 8.7, 6.4, and 21.9 for emotional, conduct, hyperactivity, peer problems, and prosocial behavior, respectively. While a minimum EPV of 10 has been traditionally recommended, evidence suggests that models with slightly lower EPV remain valid when covariates are pre‐specified and overfitting is minimized [27]. In addition, post hoc considerations indicate that with a total sample of 1199 participants, the study had adequate power (≥ 80%; two‐sided α = 0.05) to detect small‐to‐moderate associations, depending on outcome prevalence. Specifically, the minimum detectable odds ratios (ORs) were approximately 1.8 for outcomes with low prevalence (~10%) and approximately 1.3–1.4 for more prevalent outcomes (~30%–40%). Overall, the sample size was considered adequate to detect meaningful differences in the outcomes examined and to support the planned analyses. Multivariable logistic regression analysis was conducted to estimate the adjusted ORs and 95% confidence intervals (CIs) for each behavioral problem according to the intake quartiles for mushrooms, and the lowest quartile was used as the reference. The trend of association was assessed using a logistic regression model assigning consecutive integers (1–4) to the intake quartiles for mushrooms, and two‐sided p values less than 0.05 were considered statistically significant. All computations were performed using the SAS software package version 9.4 (SAS Institute Inc., Cary, NC, USA).
Results
3
Among the 1199 children who were 59–71 months age, the prevalence values of emotional problems, conduct problems, hyperactivity problems, peer problems, and low prosocial behavior were 12.9%, 19.4%, 13.1%, 8.6%, and 29.2%, respectively. The median maternal age and gestation at baseline were 32.0 (interquartile range [IQR], 29.0–34.0) years and 17.0 (IQR, 14.0–21.0) weeks, respectively. Median maternal daily consumption of total energy during pregnancy was 7127 (IQR, 6117–8465) kJ, and median daily energy‐adjusted intake levels of mushrooms were 8.2 (IQR, 4.6–15.9) g. Maternal mushroom consumption during pregnancy was inversely associated with maternal depressive symptoms during pregnancy, maternal daily total energy consumption, maternal smoking during pregnancy, and smoking in the household during the first year of life of the born child. Mothers who had higher level of mushroom consumption were more likely to live in Kyushu areas other than Fukuoka prefecture, have a higher number of educational years, and breastfed their children for a longer period of time (Table 1).
Following the adjustment for potential non‐dietary and dietary confounding factors, a significant trend of inverse exposure–response association was observed between maternal mushroom intake during pregnancy and risk of childhood peer problems (the adjusted OR between extreme quartiles was 0.58; 95% CI: 0.31–1.07, p for trend = 0.02; Table 2). Compared with maternal consumption of mushrooms during pregnancy in the first quartile, consumption in the fourth quartile was independently related to a reduced risk of low prosocial behavior in children and the inverse linear trend was statistically significant (adjusted OR between extreme quartiles, 0.64; 95% CI: 0.43–0.95; p for trend = 0.02). There were no measurable associations between maternal consumption of mushrooms during pregnancy and childhood emotional, conduct, or hyperactivity problems.
Maternal consumption of mushrooms during pregnancy was significantly correlated with maternal intake of vitamin C, folate, and vitamin B_6_ during pregnancy (Pearson's correlation coefficient: 0.23, p < 0.0001; 0.39, p < 0.0001; and 0.35, p < 0.0001, respectively), which were previously found to be associated with reduced risk of childhood low prosocial behavior [4, 7]. After additional adjustment for maternal intake of vitamin C or folate or vitamin B_6_ during pregnancy as continuous variables, the inverse association between maternal mushroom intake during pregnancy and childhood low prosocial behavior remained significant (adjusted ORs between extreme quartiles were 0.64 [95% CI: 0.43–0.96; p for trend = 0.02], 0.68 [95% CI: 0.46–1.01; p for trend = 0.04], and 0.67 [95% CI: 0.45–0.99; p for trend = 0.04], respectively).
Discussion
4
To the best of our knowledge, the current pre‐birth cohort study was the first to show independent inverse associations between higher maternal mushroom intake during pregnancy and risk of childhood peer problems and low prosocial behavior.
Although there are no previous studies on the relationship between mushroom consumption and child behavior, it has been reported that mushroom consumption has a protective effect against depressive symptoms in a cohort study of 87,822 Korean individuals [28].
The inverse association between maternal mushroom consumption during pregnancy and childhood low prosocial behavior persisted following the adjustment for maternal intake of vitamin C or folate or vitamin B_6_, suggesting that the observed association is unlikely to be ascribed to the presence of vitamin C or folate or vitamin B_6_ in the consumed mushrooms. Vitamin D, which is abundant in mushrooms [2], on the other hand, might be an important factor. Vitamin D affects brain development by acting on processes like cellular proliferation, differentiation, calcium signaling, neurotrophism, and neuroprotection [29, 30]. It is suggested that vitamin D may play a role in protecting children with social risk against antisocial behavior through its regulation of serotonin synthesis by acting on two different tryptophan hydroxylase (TPH) genes: TPH1 and TPH2 [31, 32]. According to a study of 300 children aged 11–12 years from Philadelphia, vitamin D moderates the association between early social adversity and multiple antisocial outcomes as higher social adversity was associated with greater antisocial behavior among vitamin D–insufficient, but not vitamin D–sufficient, children [33]. Another study utilizing mother–child data from the Environmental Influences on Child Health Outcomes (ECHO) cohort, in which child behavior was assessed using the SDQ or Child Behavior Checklist, and data were harmonized using a crosswalk conversion, shows evidence of an association between lower gestational vitamin D and childhood behavioral problems [34]. In particular, vitamin D concentrations in prenatal or cord blood were inversely associated with externalizing behavior T‐scores in middle childhood (6–13 years); and in a sensitivity analysis restricted to those with vitamin D assessed in prenatal maternal samples, vitamin D was inversely associated with externalizing and total behavioral problems in early childhood (1.5–5 years) [34]. It is, however, important to acknowledge that the observed results might be due to the contribution of nutrients other than vitamin D.
Methodological strengths of the present study include data collection from a relatively large sample over a long period of time extending from pre‐birth to 5 years old, and the adjustment for potential non‐dietary, as well as dietary confounding factors.
Certain limitations, however, should be kept in mind when interpreting the results of this study. Despite the adjustment for numerous potential confounding factors, the possibility of residual confounding cannot be entirely ignored. As for dietary assessment, the DHQ was designed to assess dietary intake for 1 month before the questionnaire was completed and could only give approximate consumption. In addition, the subjects in this study completed the DHQ anywhere between the fifth and 39th week of pregnancy. Therefore, any non‐differential exposure misclassification would have led to an attenuation of the measures of association. Here we reported the results of analysis considering the effects driven by only one dietary component—mushrooms—among the total of 150 foods that DHQ covers, which could have been obscured by the effects of other foods when considering them all as a whole—for instance in dietary pattern analysis. In regard to the SDQ, the parent‐reported data might have been biased. Further, although the dichotomization cut‐off points for the five outcomes under study were chosen based on a previous study conducted in Japan [23], it is uncertain whether they were reasonable. The possibility of non‐differential outcome misclassification might have altered the observed association toward the null.
Of the 1757 pregnant women who completed the baseline survey for this study between April 2007 and March 2008, 556 mother–child pairs were excluded because they did not participate in the eighth survey. We observed no evident differences between these 556 non‐participants and the 1201 participants in the eighth survey in terms of the distribution for number of children, depressive symptoms during pregnancy, or alcohol intake during pregnancy. Compared with non‐participants, the participants in the eighth survey were more likely to be older, have participated in the baseline survey earlier in gestation, live in Fukuoka Prefecture, report high maternal and paternal educational levels, and have a high household income. As the number of pregnant women who received the leaflet explaining the KOMCHS, an application form, and a set of self‐addressed and stamped return envelope at the 423 collaborating obstetric hospitals was unidentified, we were not able to calculate the participation rate at baseline. Among the 1757 participants at baseline, 978 lived in Fukuoka Prefecture. Data collected by the government of Fukuoka Prefecture revealed that there were 46,393 children born in 2007 and 46,695 children born in 2008, which suggests that the participation rate in the baseline survey of the KOMCHS must have been low. Therefore, the present study subjects were probably not representative of Japanese women in the general population. For instance, according to a population census conducted in 2000 in Fukuoka Prefecture, the proportions of women aged 30–34 years with < 13 years, 13–14 years, ≥ 15 years, and an unknown number of years of education were 52.0%, 31.5%, 11.8%, and 4.8%, respectively [35], while the corresponding figures for the present study were 20.9%, 33.3%, 45.9%, and 0.0%, respectively.
Conclusion
5
The present prebirth cohort study showed that a higher maternal intake level of mushrooms during pregnancy was independently associated with a decreased risk of peer problems and a decreased risk of low prosocial behavior in 5‐year‐old children. We acknowledge the need for additional epidemiological studies and studies investigating the mechanisms underlying the observed preventive association.
Author Contributions
Conceptualization: Yoshihiro Miyake and Keiko Tanaka. Data curation: Mai Quynh Nguyen, Yoshihiro Miyake, Keiko Tanaka, Shizuka Hasuo, and Yoshitaka Nakamura. Formal analysis: Mai Quynh Nguyen, Yoshihiro Miyake, and Shizuka Hasuo. Funding acquisition: Yoshihiro Miyake and Keiko Tanaka. Investigation: Yoshihiro Miyake and Keiko Tanaka. Methodology: Yoshihiro Miyake, Keiko Tanaka, and Hitomi Okubo. Project administration: Yoshihiro Miyake. Resources: Yoshihiro Miyake and Hitomi Okubo. Software: Mai Quynh Nguyen, Yoshihiro Miyake, and Shizuka Hasuo. Validation: Mai Quynh Nguyen, Yoshihiro Miyake, Keiko Tanaka, and Shizuka Hasuo. Visualization: Mai Quynh Nguyen and Shizuka Hasuo. Writing – original draft: Mai Quynh Nguyen and Yoshihiro Miyake. Writing – review and editing: Mai Quynh Nguyen, Yoshihiro Miyake, and Keiko Tanaka.
Ethics Statement
The KOMCHS was approved by the ethics committees at the Faculty of Medicine, Fukuoka University (committee's reference number, 319) and the Ehime University Graduate School of Medicine (committee's reference number, 1504012).
Consent
All participants provided written informed consent.
Conflicts of Interest
Mai Quynh Nguyen and Shizuka Hasuo were employed by Meiji Co. Ltd. and Meiji Holdings Co. Ltd. Yoshitaka Nakamura was employed by Meiji Co. Ltd. Keiko Tanaka and Yoshihiro Miyake were financially supported by Meiji Co. Ltd. and Meiji Holdings Co. Ltd. Hitomi Okubo has no conflicts of interest. Hitomi Okubo belongs to the Department of Nutritional Epidemiology and Behavioural Nutrition, Graduate School of Medicine, The University of Tokyo, which is a social cooperation program with Ajinomoto Co. Inc. However, Ajinomoto Co. Inc. was not involved in any part of this study.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1W. M. Breene , “Nutritional and Medicinal Value of Specialty Mushrooms,” Journal of Food Protection 53, no. 10 (1990): 883–895.31018285 10.4315/0362-028X-53.10.883 · doi ↗ · pubmed ↗
- 2A. Assemie and G. Abaya , “The Effect of Edible Mushroom on Health and Their Biochemistry,” International Journal of Microbiology 2022 (2022): 8744788.35369040 10.1155/2022/8744788 PMC 8967584 · doi ↗ · pubmed ↗
- 3C. Tang , P. C. X. Hoo , L. T. H. Tan , et al., “Golden Needle Mushroom: A Culinary Medicine With Evidenced‐Based Biological Activities and Health Promoting Properties,” Frontiers in Pharmacology 7 (2016): 474.28003804 10.3389/fphar.2016.00474 PMC 5141589 · doi ↗ · pubmed ↗
- 4Y. Miyake , K. Tanaka , H. Okubo , S. Sasaki , and M. Arakawa , “Maternal B Vitamin Intake During Pregnancy and Childhood Behavioral Problems in Japan: The Kyushu Okinawa Maternal and Child Health Study,” Nutritional Neuroscience 23, no. 9 (2020): 706–713.30453854 10.1080/1028415 X.2018.1548139 · doi ↗ · pubmed ↗
- 5K. Takahashi , K. Tanaka , Y. Nakamura , et al., “Calcium Intake During Pregnancy Is Associated With Decreased Risk of Emotional and Hyperactivity Problems in Five‐Year‐Old Japanese Children,” Nutritional Neuroscience 24, no. 10 (2021): 762–769.31690246 10.1080/1028415 X.2019.1676971 · doi ↗ · pubmed ↗
- 6Y. Miyake , K. Tanaka , H. Okubo , S. Sasaki , and M. Arakawa , “Maternal Fat Intake During Pregnancy and Wheeze and Eczema in Japanese Infants: The Kyushu Okinawa Maternal and Child Health Study,” Annals of Epidemiology 23, no. 11 (2013): 674–680.24094480 10.1016/j.annepidem.2013.08.004 · doi ↗ · pubmed ↗
- 7Y. Miyake , K. Tanaka , H. Okubo , S. Sasaki , and M. Arakawa , “Maternal Consumption of Vegetables, Fruit, and Antioxidants During Pregnancy and Risk for Childhood Behavioral Problems,” Nutrition 69 (2020): 110572.31563826 10.1016/j.nut.2019.110572 · doi ↗ · pubmed ↗
- 8Y. Miyake , K. Tanaka , H. Okubo , S. Sasaki , A. Tokinobu , and M. Arakawa , “Maternal Metal Intake During Pregnancy and Childhood Behavioral Problems in Japan: The Kyushu Okinawa Maternal and Child Health Study,” Nutritional Neuroscience 25, no. 8 (2022): 1641–1649.33568010 10.1080/1028415 X.2021.1885241 · doi ↗ · pubmed ↗
