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. 2025 Jan 20;15:2485. doi: 10.1038/s41598-025-87043-2

Cesarean delivery on child health and development in Japanese nationwide birth cohort

Naomi Matsumoto 1,, Takashi Mitsui 2, Kei Tamai 3, Tomoya Hirota 4, Hisashi Masuyama 2, Takashi Yorifuji 1
PMCID: PMC11747486  PMID: 39833288

Abstract

The long-term effects of cesarean delivery (CD) on child health and development remain controversial. This study aimed to investigate these effects using an outcome-wide approach in a Japanese context, where perinatal mortality rates are among the world’s lowest. We analyzed data from 2,114 children in a nationwide Japanese birth cohort, linking the 21st Century Longitudinal Survey of Newborns with the Perinatal Research Network database. We examined associations between CD and various health and developmental outcomes up to 9 years of age, including hospitalizations, obesity, and developmental milestones. After adjusting for potential confounders, CD was not significantly associated with most outcomes, including all-cause hospitalization (adjusted risk ratio 1.25, 95% CI 0.997–1.56), obesity at 5.5 and 9 years, and various developmental milestones. Subgroup analyses for multiple births and preterm infants showed some differences in point estimates, but were limited by small sample sizes. CD was not significantly associated with adverse long-term child health or developmental outcomes in this Japanese cohort. These findings provide reassurance regarding CD safety when medically indicated in advanced perinatal care settings. Further research with larger samples and longer follow-up is needed, especially for specific subgroups.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-025-87043-2.

Keywords: Cesarean delivery, Delivery methods, Long-term outcome, Child development, Outcome-wide approach

Subject terms: Epidemiology, Outcomes research, Paediatric research

Introduction

Mode of delivery has the potential to affect a child’s health and development in the long term1. Cesarean delivery (CD) is often performed for certain medical indications to ensure the safety of both the mother and the child2,3. Although CD rates have risen dramatically worldwide over the past decades, the potential consequences of this surgical intervention on various aspects such as physical growth, cognitive development, and risk of chronic diseases in children are the subject of ongoing debate.

CDs often result from pregnancy complications or maternal health conditions rather than being a primary cause of adverse outcomes. Factors such as gestational diabetes, preeclampsia, or fetal distress may necessitate CD and independently influence child health outcomes46. However, biological mechanisms exist through which CD itself may affect child health and developmental outcomes. For instance, CD may alter infant’s microbiome colonization, as these infants bypass exposure to maternal vaginal and intestinal flora during birth7. This altered microbial colonization could potentially affect immune system development8, metabolic processes, and even neurodevelopment911. Previous studies have reported mixed findings regarding the effects of CD on long-term health and developmental outcomes1214. Some studies have suggested potential benefits of CD, such as lower morbidity and better neurodevelopmental outcomes in extremely low-birth-weight infants3However, other investigations have raised concerns about potential negative outcomes12,15. For example16, some studies have reported a higher body mass index (BMI) at grade 6 in infants born via CD17.

These conflicting findings highlight the complexity of the issue and the need for further research, particularly in specific cultural and health care contexts. In Japan, where the CD rate is approximately 20%, the Japan Environment and Children’s Study (JECS) found no significant relationship between CD and infectious diseases in one-year-old children18, contrasting with several international studies1921. This discrepancy underscores the potential influence of country-specific factors on outcomes. Additionally, while the Japan Environment and Children’s Study (JECS) suggested a potential association between CD and the prevalence of autism at age 322, further investigation is needed regarding the relationship between CD and neurodevelopmental disorders or long-term cognitive development in Japanese children, particularly beyond early childhood.

In this study, we utilized the 21st Century Longitudinal Survey of Newborns, a nationally representative birth cohort linked to the Perinatal Research Network (PRN) database, to investigate the relationship between CD and various child health and developmental outcomes. By focusing on outcomes from 1.5 to 9 years of age, we extend beyond the early childhood period typically studied, providing insights into the potential persistent effects of CD into school age. Moreover, we adopted an outcome-wide approach, encompassing both physical health outcomes (such as hospitalizations for various diseases and obesity) and neurodevelopmental outcomes (including developmental, behavioral, and cognitive issues). This comprehensive approach allows for a more holistic understanding of how CD may impact diverse aspects of children’s physical and mental health, potentially revealing patterns and associations that might be overlooked in studies focusing on single outcomes23,24.

Methods

Study design/setting/participants

This population-based cohort study leveraged two nationally representative data sources that provide a foundation for investigating child health outcomes in Japan: the 21st Century Longitudinal Survey of Newborns and the Perinatal Research Network (PRN) database.

The 21st Century Longitudinal Survey of Newborns, conducted by the Ministry of Health, Labour, and Welfare of Japan, is a national birth cohort that encompasses all 43,767 infants born in the country between May 10 and 24, 201025. This cohort represents one twenty-fourth of all births in Japan in 2010, ensuring representativeness of the entire birth population. Questionnaires were sent annually to the guardians of 38,554 children (response rate: 88.1%) who responded to an initial questionnaire at 6 months of age. The survey continued until age 5.5 years, with additional follow-ups at ages 7, 8, and 9 years. This longitudinal design allows for comprehensive tracking of child development and health outcomes over time. The questionnaires covered a wide range of topics including the child’s physical development26,27, medical history28,29, parental employment and educational attainment, parental smoking history, and parenting concerns. Additionally, official birth-related data from the Japanese Vital Statistics were linked to each participant, further enhancing the dataset’s accuracy.

The Perinatal Research Network (PRN) database was initiated by the Japan Society of Obstetrics and Gynecology in the early 2000s, and serves as a nationwide registry of births and stillbirths after 22 weeks of gestation. The participating facilities were predominantly maternal and child medical centers managing complex cases, providing crucial insights into perinatal care for at-risk populations. The PRN contains detailed clinical information recorded by obstetricians on maternal characteristics, preexisting medical conditions, pregnancy complications, delivery details, neonatal transport, and other relevant factors. In 2010, the PRN registered data on 83,383 births from 139 facilities, representing 7.6% of all births in Japan that year30,31. The cesarean delivery rate in this database for May 2010 births was 33.4%, higher than the national rate of 19.2% reported in September 201132, reflecting its emphasis on high-risk pregnancies and deliveries.

By linking these two nationally representative data sources using information on birth date, sex, birth weight, maternal age at birth, and gestational age, we created a unique dataset that combines the strengths of a nationally representative birth cohort with detailed perinatal clinical data. Of the 2,140 infants whose data were successfully linked, 2,114 were included in our final analysis after excluding 26 children with ambiguous delivery method responses (e.g., “other”). This integrated dataset provides a valuable opportunity to examine the long-term effects of perinatal factors on child health and development in Japan (Fig. 1).

Fig. 1.

Fig. 1

Flowchart of the participants.

Exposure and outcomes

The primary exposure was the mode of delivery (cesarean vs. vaginal), as recorded in the PRN database. We examined multiple outcomes from ages 0.5 to 9 years through the surveys conducted at ages 1.5 to 9 years. Hospitalizations (any hospitalization and specific hospitalizations for respiratory infections and gastrointestinal illnesses) were defined as admission experience between ages 0.5 and 5.5 years, as reported in surveys at ages 1.5 to 5.5 years. Obesity was assessed at ages 5.5 and 9 years. Body mass index (BMI) standard deviation scores were calculated based on WHO criteria. Developmental milestones (including motor, language, cognitive, self-regulation, social-emotional, attention, adaptive skills, and conduct problems) were evaluated at ages 2.5, 5.5, and 8 years.

Detailed definitions of these outcomes are available in eMethod and Table S1.

Statistical analysis

The baseline characteristics of parents and newborns were compared between CD and vaginal delivery groups. To assess potential selection bias due to loss to follow-up, we compared characteristics between the dropout and non-dropout (analytic sample) groups, focusing primarily on the longest-term outcome: obesity at 9 years of age. Categorical variables were summarized as frequencies (percentages), and continuous variables were described using the median (Interquartile Range [IQR]) and minimum and maximum values.

Poisson regression with robust variance was then used to estimate risk ratios for the association between CD and various long-term child health and development outcomes, including hospitalization, obesity, and developmental milestones. Following the crude analysis (Model 1), a controlled analysis (Model 2: complete case analysis) was conducted to adjust for potential confounding variables. These covariates were selected based on prior research and subject-matter knowledge33,34: multiple births (binary), fetal presentation (cephalic, non-cephalic; binary), presence of fetal anomalies (binary), maternal transport (none, emergency, scheduled; categorical), maternal age at delivery (< 30 years, 30–34 years, ≥ 35 years; categorical), multiparity (binary), pre-existing maternal medical conditions (binary), pregnancy complications (binary), maternal smoking during pregnancy (binary), maternal alcohol consumption during pregnancy (binary), maternal educational attainment (bachelor’s degree or higher, technical/associate’s degree, high school diploma or less; categorical), paternal age at delivery (categorized analogous to maternal age), paternal educational attainment (categorized analogous to maternal education), and place of residence at birth (special ward or designated city, city, and town or village; categorical). Pre-pregnancy maternal BMI (continuous) was included as a covariate in the obesity outcome model. In Model 3, multiple imputation was used to replace missing covariate data using the chained equations method under the Missing At Random assumption35. The proportion of missing data ranged from 0 to 25.7%. Multiple imputation was performed with 400 iterations and 20 burn-ins and incorporated the following variables: multiple births (no missing data), fetal presentation (no missing data), fetal anomalies (no missing data), gestational age (no missing data), maternal transport (no missing data), maternal age (no missing data), multiparity (missing data: 0.7%), pre-pregnancy maternal BMI (missing data: 15.8%), maternal smoking (missing data: 25.5%), maternal alcohol consumption (missing data: 25.7%), pre-existing maternal conditions (no missing data), pregnancy complications (no missing data), maternal education (missing data: 12.6%), paternal age (missing data: 2.5%), paternal education (missing data: 14.0%), and place of residence at birth (no missing data). E-values were calculated for each association to assess the potential impact of unmeasurable confounding; a higher E value indicates that stronger unmeasured confounding is required to shift the observed association to null36,37.

For the primary analysis, we compared the CD group (combining both scheduled and emergency cesareans) with the vaginal delivery group. Additionally, we conducted supplementary analyses to examine potential differences between delivery methods. In these analyses, we separated the CD group into “scheduled cesarean” and “emergency cesarean” subgroups, allowing for a more nuanced comparison of outcomes across different delivery methods. In addition, subgroup analyses were performed stratified by the presence or absence of multiple births and preterm birth.

All analyses were conducted using STATA SE version 18 (StataCorp., College Station, TX, USA). For all analyses, we initially set the significant level at 5% (p< 0.05). For results that were initially significant, we applied Bonferroni correction to account for multiple testing38. This study was approved by the Institutional Review Board of the Graduate School of Biomedical Sciences at Okayama University (No. 2310-018) and the Clinical Research Management Review Committee of the Japanese Society of Obstetrics and Gynecology (No. 150). The Institutional Review Board of the Graduate School of Biomedical Sciences at Okayama University waved the requirement for informed consent due to the retrospective nature of the study and because the datasets were fully anonymized for secondary use. All methods were performed in accordance with the principles of the Declaration of Helsinki and the relevant guidelines and regulations.

Results

Table 1 presents baseline characteristics stratified by mode of delivery. Compared with infants born by vaginal delivery, those delivered by CD had higher proportions of older parents, multiparous mothers, preterm birth, low birth weight, small size for gestational age, multiple gestation, prenatal fetal anomalies, neonatal asphyxia, maternal emergency transport, in-vitro fertilization, and breech presentation. Although pre-existing maternal conditions and pregnancy complications were more prevalent in the CD group, maternal alcohol consumption during pregnancy was lower than in the vaginal delivery group. The CD group showed a slightly lower proportion of children residing in designated special wards or cities, and conversely, a higher proportion living in cities, towns, or villages compared to the vaginal delivery group. To evaluate potential selection bias, demographic characteristics were compared between the dropout and non-dropout groups at the 9-year follow-up (Table S2). The parents in the dropout group were younger, had lower educational attainment, and had a higher prevalence of maternal smoking during pregnancy compared with those in the non-dropout group.The detailed numbers and percentages of the evaluated outcomes are shown in Table S3.

Table 1.

Demographics of participants.

Mode of delivery
Vaginal delivery Cesarean section All
(n = 1,351) (n = 763) (N = 2,114)
Gestational weeka 39 (38–40) 37 (36–38) 38 (37–40)
Preterm birth 119 (8.8%) 196 (25.7%) 315 (14.9%)
Birth weight (g) a 2,988 (2,710-3,240) 2,670 (2,255-3,005) 2,891.5 (2,546-3,168)
Low birth weight < 2500 g 192 (14.2%) 279 (36.6%) 471 (22.3%)
Small for gestational age 50 (3.7%) 71 (9.3%) 121 (5.7%)
Multiple births 20 (1.5%) 129 (16.9%) 149 (7.0%)
Neonatal asphyxia
No 1,317 (98.1%) 717 (94.6%) 2,034 (96.8%)
Mild neonatal asphyxia 24 (1.8%) 35 (4.6%) 59 (2.8%)
Severe neonatal asphyxia 2 (0.1%) 6 (0.8%) 8 (0.4%)
Maternal transfer
No 1,174 (86.9%) 610 (79.9%) 1,784 (84.4%)
Yes (emergent) 61 (4.5%) 73 (9.6%) 134 (6.3%)
Yes (non-urgent) 116 (8.6%) 80 (10.5%) 196 (9.3%)
Parity
Primipara 755 (56.3%) 357 (47.0%) 1,112 (53.0%)
Multipara 585 (43.7%) 403 (53.0%) 988 (47.0%)
Maternal underlying conditions 385 (28.5%) 275 (36.0%) 660 (31.2%)
in-vitro fertilization 52 (3.8%) 64 (8.4%) 116 (5.5%)
Position
Cephalic presentation 1,347 (99.7%) 608 (79.7%) 1,955 (92.5%)
Breech presentation or others 4 (0.3%) 155 (20.3%) 159 (7.5%)
Pregnancy complications 733 (54.3%) 497 (65.1%) 1,230 (58.2%)
Prenatal fetal anomalies 87 (6.4%) 76 (10.0%) 163 (7.7%)
Maternal smoking during pregnancy 50 (5.0%) 31 (5.3%) 81 (5.1%)
Maternal alcohol consumption during pregnancy 49 (5.0%) 12 (2.1%) 61 (3.9%)
Maternal age at delivery
<30 454 (33.6%) 180 (23.6%) 634 (30.0%)
30 ~ 34 476 (35.2%) 274 (35.9%) 750 (35.5%)
35~ 421 (31.2%) 309 (40.5%) 730 (34.5%)
Paternal age at delivery
<30 337 (25.5%) 136 (18.3%) 473 (22.9%)
30 ~ 34 410 (31.1%) 215 (28.9%) 625 (30.3%)
35~ 572 (43.4%) 392 (52.8%) 964 (46.8%)
Maternal education attainment
Bachelor’s degree or higher 368 (31.3%) 197 (29.4%) 565 (30.6%)
Vocational school/junior college graduate 495 (42.1%) 296 (44.2%) 791 (42.8%)
High school graduate or below 314 (26.7%) 177 (26.4%) 491 (26.6%)
Paternal education attainment
Bachelor’s degree or higher 623 (53.8%) 347 (52.7%) 970 (53.4%)
Vocational school/junior college graduate 185 (16.0%) 104 (15.8%) 289 (15.9%)
High school graduate or below 350 (30.2%) 208 (31.6%) 558 (30.7%)
Place of residence at birth
Special ward or designated city 615 (45.5%) 293 (38.4%) 908 (43.0%)
City 661 (48.9%) 420 (55.0%) 1,081 (51.1%)
Town or village 75 (5.6%) 50 (6.6%) 125 (5.9%)

Categorical variables were described by number (%), and continuous variablesa were displayed as Median (Interquartile Range [IQR]).

Range (minimum-maximum values) for continuous variables:.

Gestational week: All (22–42), Vaginal delivery (22–42), Cesarean Sects. (22–42).

Birth weight: All (486-4,934 g), Vaginal delivery (524-4,446 g), Cesarean Sects. (486-4,934 g).

No statistically significant associations with CD were observed in almost all health and developmental outcomes in children after adjusting for potential confounders. The association between CD and adaptive problems at 8 years of age was initially significant (p = 0.02), but not after Bonferroni correction for 13 comparisons (adjusted p = 0.26). The analysis showed slightly higher point estimates for risks for some hospitalization outcomes in children born by CD, although these differences did not reach statistical significance: all-cause hospitalization, (aRR 1.25, 95% CI 0.997–1.56), hospitalization due to respiratory infections (aRR 1.29, 95% CI 0.89–1.89) and gastrointestinal diseases (aRR 1.13, 95% CI 0.56–2.31). CD showed no significant association with overweight or obesity at 5.5 years (aRR 1.05, 95% CI 0.68–1.62) or 9 years of age (aRR 0.83, 95% CI 0.52–1.32). Regarding developmental outcomes, CD was not significantly associated with motor, language, cognitive, and social-emotional milestone attainment by the expected time. Similarly, no significant associations were found for self-regulation problems at 5.5 years, or attention and conduct problems at 8 years. The results were consistent across the imputed and non-imputed models (Table 2).

Table 2.

Cesarean Delivery Effects on Child Outcomes

Cesarean delivery Vaginal delivery Crude model Adjusted model Multiple imputation adjusted modela E-value
n/N (%) n/N (%) RR 95%CI E-value aRR 95%CI E-value aRR 95%CI
Health outcomes
Hospitalization for any reason 186/698 (26.7%) 267/1,231 (21.7%) 1.23 1.04 1.45 1.76 1.25 0.997 1.56 1.81 1.19 0.99 1.43 1.67
Hospitalization for respiratory infection 77/698 (11.0%) 116/1,231 (9.4%) 1.17 0.89 1.54 1.62 1.29 0.89 1.89 1.90 1.18 0.86 1.61 1.64
Hospitalization for gastrointestinal disease 23/698 (3.3%) 34/1,197 (2.8%) 1.19 0.71 2.01 1.67 1.13 0.56 2.31 1.51 1.32 0.71 2.48 1.97
Overweight or obesity at 5.5 years of age 50/506 (9.9%) 83/906 (9.2%) 1.08 0.77 1.51 1.37 1.05 0.68 1.62 1.28 1.00 0.69 1.45 1.00
Overweight or obesity at 9 years of age 56/450 (12.4%) 94/783 (12.0%) 1.04 0.76 1.41 1.24 0.83 0.52 1.32 1.70 0.86 0.60 1.25 1.60
Developmental outcomes
Motor milestones not attained by the expected time (2.5 years) 43/641 (6.7%) 51/1,140 (4.5%) 1.50 1.01 2.22 2.37 0.86 0.50 1.48 1.60 1.14 0.72 1.80 1.54
Language milestones not attained by the expected time (2.5 years) 122/639 (19.1%) 172/1,140 (15.1%) 1.27 1.02 1.56 1.86 0.97 0.71 1.33 1.21 1.11 0.87 1.41 1.46
Cognitive milestones not attained by the expected time (5.5 years) 47/558 (8.4%) 81/998 (8.1%) 1.04 0.74 1.46 1.24 1.03 0.62 1.70 1.21 0.90 0.60 1.36 1.46
Social-emotional milestones not attained by the expected time (5.5 years) 84/557 (15.1%) 146/997 (14.6%) 1.03 0.80 1.32 1.21 0.90 0.66 1.24 1.46 0.98 0.74 1.29 1.16
Self-regulation problem (5.5 years) 73/557 (13.1%) 126/996 (12.7%) 1.04 0.79 1.36 1.24 1.02 0.73 1.43 1.16 0.99 0.73 1.33 1.11
Attention problem (8 years) 172/479 (35.9%) 328/870 (37.7%) 0.95 0.82 1.10 1.29 0.84 0.69 1.03 1.67 0.90 0.76 1.07 1.46
Adaptive problem (8 years) 186/470 (39.6%) 264/870 (33.2%) 1.30 1.12 1.52 1.92 1.27 1.04 1.55 1.86 1.27 1.08 1.50 1.86
Conduct problem (8 years) 166/475 (35.0%) 284/871 (32.6%) 1.07 0.92 1.25 1.34 1.03 0.84 1.27 1.21 1.04 0.87 1.24 1.24

RR: risk ratio, aRR: adjusted risk ratio, CI: confidence interval

aAdjusted for maternal age at delivery, multiple births, multiparity, fetal presentation, presence of fetal anomalies, maternal transport, pre-existing maternal medical conditions, pregnancy complications, maternal smoking during pregnancy, maternal alcohol consumption during pregnancy, maternal education attainment, paternal age at delivery, paternal education attainment, and place of residence at birth. In the obesity outcome model, maternal pre-pregnancy BMI (continuous) was also added as an adjustment variable.

Supplementary analyses comparing scheduled and emergency CDs to vaginal delivery did not reveal statistically significant associations for most outcomes (Fig. 2). For hospitalization due to gastrointestinal disease, they showed slightly lower point estimate for risk with emergency CD (aRR 0.56, 95% CI 0.15–2.00) and higher point estimate for risk with scheduled CD (aRR 1.54, 95% CI 0.74–3.20), compared to vaginal delivery. For adaptive problems at 8 years, both types of CD showed slightly higher point estimates for risks compared to vaginal delivery, with emergency CD showing higher point estimates (aRR 1.40, 95%CI 1.08–1.80 for emergency CD; aRR 1.19, 95%CI 0.93–1.52 for scheduled CD). However, after Bonferroni correction for multiple comparisons, none of these associations remained statistically significant.

Fig. 2.

Fig. 2

Adjusted risk ratios for multiple child health and developmental outcomes associated with cesarean section versus vaginal delivery, with 95% confidence intervals. Each outcome was analyzed separately. Adjusted for maternal age at delivery, parity, multiple births, prenatal fetal anomalies, presentation, maternal transfer status, maternal underlying diseases, pregnancy complications, maternal smoking during pregnancy, maternal alcohol consumption during pregnancy, maternal education attainment, paternal age, paternal education attainment, and place of residence at birth. Maternal pre-pregnancy body mass index was also adjusted in the obesity outcome model.

Subgroup analyses stratified by multiple births and preterm birth status had limited statistical power due to small sample sizes in these groups. In the multiple birth group (Fig. 3), the point estimates for the association between CD and several developmental outcomes appeared to be higher compared to the singleton group, although none of these differences reached statistical significance. These outcomes included self-regulation problems at 5.5 years, and attention, adaptive, and conduct problems at 8 years. Confidence intervals were wider in the multiple birth group, reflecting the smaller sample size and greater uncertainty in these estimates.

Fig. 3.

Fig. 3

Adjusted risk ratios for multiple child health and developmental outcomes associated with cesarean section versus vaginal delivery, with 95% confidence intervals. Each outcome was analyzed separately. Adjusted for maternal age at delivery, parity, multiple births, prenatal fetal anomalies, presentation, maternal transfer status, maternal underlying diseases, pregnancy complications, maternal smoking during pregnancy, maternal alcohol consumption during pregnancy, maternal education attainment, paternal age, paternal education attainment, and place of residence at birth.

Analyses stratified by preterm birth status (Figure S1) showed different point estimates compared to those in the multiple birth stratified analysis. In the preterm group, CD was associated with lower point estimates for risks for certain outcomes, although none of these differences reached statistical significance. These outcomes included hospitalizations due to gastrointestinal disease and several developmental milestones (motor at 2.5 years, cognitive at 5.5 years, and attention and conduct problems at 8 years). Confidence intervals for these estimates were wider in the preterm group.

Discussion

In this study based on data from a nationwide 2010 Japanese birth cohort, we examined the association between mode of delivery and several child health and developmental outcomes from 1.5 to 9 years of age. Our findings suggest that CD is not significantly associated with most child health and developmental outcomes, including hospitalizations, obesity, and various developmental milestones. While some non-significant differences were observed, the overall results do not provide strong evidence for long-term adverse effects of CD on child health and development in this cohort.

Our findings align with several previous studies reporting no significant long-term effects of CD on child health and development. However, they contrast with findings from the Japan Environment and Children’s Study (JECS)22, which suggested a potential association between CD and increased risk of autism spectrum disorder at age 3. This discrepancy may be attributed to several factors, including methodological differences, variations in outcome definitions, and differing follow-up periods. For instance, the JECS compared all births, potentially including a higher proportion of high-risk pregnancies in the CD group, whereas our study focused on births in hospitals managing high-risk deliveries. While this approach may limit generalizability, it potentially enhances the internal validity of our comparison between CD and vaginal delivery groups by reducing confounding from baseline risk factors. In addition to the different outcomes, our extended follow-up period to 8 years may have captured longer-term outcomes that differ from those observed at age 3 in the JECS.

Previous research on the long-term effects of CD on child outcomes worldwide has yielded inconsistent findings33,39. For example, while some studies have reported transient increases in BMI among infants born by CD40, others have found associations with increased obesity risk in older children17. These inconsistencies underscore the importance of considering country-specific or culture-specific factors when evaluating the impact of CD on long-term child health outcomes41. While mechanisms such as altered microbiome colonization due to bypassing exposure to maternal vaginal and intestinal flora during birth have been proposed to explain potential effects of CD42, our findings suggest that if such mechanisms are at play, their long-term impact may be minimal or effectively mitigated in the Japanese context. Japan’s healthcare system, characterized by universal health insurance coverage and standardized prenatal and postnatal care43, may contribute to optimizing outcomes regardless of delivery mode. For instance, Japan consistently reports one of the lowest perinatal mortality rates globally (2.8 per 1,000 total births in 2022)44. This combination may enable more accurate and timely identification of cases requiring CD, leading to optimal interventions that minimize risks associated with both underuse and overuse of the procedure. Furthermore, traditional dietary practices and overall child-rearing approaches in Japan may contribute to offsetting potential negative effects of CD on infant health and development, including impacts on the microbiome45. Collectively, these healthcare and cultural factors create an environment where the potential risks of CD are minimized, possibly explaining the lack of significant long-term negative outcomes observed in our study.

Supplementary analyses comparing scheduled and emergency CDs to vaginal delivery did not reveal statistically significant associations for most outcomes. This nuanced analysis provides additional reassurance about the safety of both types of CD when medically indicated. However, some non-significant differences were observed, such as a higher point estimates for the risk of adaptive problems at 8 years for both types of CD, which warrant further investigation in larger studies.

Subgroup analyses stratified by multiple births and preterm birth status were limited by small sample sizes, resulting in wide confidence intervals. These analyses revealed some non-significant differences: higher point estimates for the association between CD and certain developmental outcomes in multiple births, while lower point estimates were found for the association between CD and these outcomes in the preterm group. These observations are consistent with previous research hypotheses suggesting that CD might offer benefits for preterm infants. Lower point estimates for the associations between CD and certain outcomes in preterm infants could be attributed to CD’s potential to mitigate peripartum stress and complications often associated with preterm vaginal delivery. Moreover, Japan’s high quality prenatal and postnatal care system may contribute to optimizing selection of delivery mode and timing. However, these findings should be considered highly preliminary due to smaller sample size and lack of statistical significance and require confirmation in larger studies.

The strengths of our study include its use of a large, nationally representative birth cohort, the linkage to the comprehensive Perinatal Research Network database, and the wide range of outcomes examined over an extended period. Our outcome-wide approach allowed for a holistic assessment of CD’s potential impacts, reducing the risk of selective reporting bias. The inclusion of both scheduled and emergency CD in our supplementary analyses provided insights into potential differences between these delivery methods. However, our study also has limitations. First, the relatively small sample size (n = 2,116) and inclusion of only Japanese children may limit generalizability, particularly as the linked perinatal database tends to oversample high-risk pregnancies. However, key outcome proportions in our sample were not markedly different from those in the original cohort, which represents all births in Japan (Table S4). Second, potential selection bias due to loss to follow-up may have affected our results, as participants lost to follow-up were more likely to have mothers with lower educational attainment and a history of smoking. However, the proportion of loss to follow-up was similar between CD and vaginal delivery groups, suggesting that impact of attrition bias on our main findings may be limited. Third, child development was assessed using binary responses to survey items without validated scales, potentially limiting the capture of nuanced developmental variations. Fourth, while we calculated E-values to assess the potential impact of unmeasured confounding, residual confounding from factors such as family history of neurodevelopmental disorders cannot be ruled out. Fifth, our study had several limitations regarding the factors that may influence delivery method selection. While prenatal imaging plays a crucial role in determining delivery methods, we did not examine its potential effects on fetal health or delivery outcomes. Additionally, our study design did not allow for comprehensive analysis of maternal physiological conditions during pregnancy or regional environmental factors that could affect delivery decisions. These unexplored variables, including but not limited to maternal vaginal microbiome changes during pregnancy and local climate conditions, represent important areas for future research to better understand their impact on delivery method selection and outcomes. Lastly, the sample size for some subgroup analyses was limited, and effects beyond 9 years of age remain unknown.

Conclusions

Our findings suggest that CD does not significantly impact most long-term adverse child health and developmental outcomes in this Japanese cohort up to 9 years of age. This provides cautious reassurance to parents and healthcare providers about the long-term safety of CD when medically indicated. However, it is important to note that the absence of statistically significant associations does not necessarily imply the absence of clinically relevant effects. Future studies should consider longer-term follow-up, larger sample sizes for subgroup analyses, and more detailed assessment of potential mediating factors such as microbiome development. As medical practices continue to evolve, ongoing research will be crucial to ensure the optimal balance between necessary medical interventions and potential long-term health outcomes, particularly in high-risk populations such as preterm infants and multiple births.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Acknowledgements

The authors thank Saori Irie and Yoko Oka for their help in data collection. We are grateful to the Japan Society of Obstetrics and Gynecology for providing access to the Perinatal Registry Database. This work was supported by JSPS KAKENHI Grant Number JP23K16329 (to NM). We thank Anahid Pinchis from Edanz (https://jp.edanz.com/ac) for editing a draft of this manuscript.

Author contributions

NM contributed to the conceptualization of the study. NM and TY performed data curation. NM contributed to formal analysis. NM contributed to funding acquisition. NM contributed to methodology. NM, TM, HM, and TY contributed to project administration. NM, TM, TH, and TY contributed to resources. TY contributed to supervision. NM, TH, and TY contributed to validation. NM contributed to visualization. NM and TY had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. NM originally drafted the manuscript, and all authors (NM, TM, KT, TH, HM, and TY) contributed to writing-review & editing. All authors have read and approved the final manuscript. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted.

This study was supported by JSPS KAKENHI Grant Number JP23K16329. The JSPS had no role in the design and conduct of the study.

Data availability

De-identified individual participant data will be made available upon reasonable request and approval by the Ministry of Health, Labour and Welfare and the Japan Society of Obstetrics and Gynecology. For data requests, please contact the corresponding author (naomim@okayama-u.ac.jp).

Declarations

Competing interests

The authors declare no competing interests.

Consent statement

This study used data from the Longitudinal Survey of Babies in the 21st Century conducted by the Ministry of Health, Labour and Welfare of Japan (MHLW) and the Perinatal Research Network database from the Japan Society of Obstetrics and Gynecology. As both datasets were fully anonymized for secondary use, informed consent was not required. The use of these data for this study was approved by the respective data holders.

Declaration of generative AI and AI-assisted technologies in the writing process

During the preparation of this work the authors used an AI-powered language model (Claude) in order to assist with English language editing and proofreading. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

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References

  • 1.Curran, E. A. et al. Research review: birth by caesarean section and development of autism spectrum disorder and attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. J. Child. Psychol. Psychiatry. 56, 500–508 (2015). [DOI] [PubMed] [Google Scholar]
  • 2.Sandall, J. et al. Short-term and long-term effects of caesarean section on the health of women and children. Lancet392, 1349–1357 (2018). [DOI] [PubMed] [Google Scholar]
  • 3.Minguez-Milio, J. A., Alcázar, J. L., Aubá, M., Ruiz-Zambrana, A. & Minguez, J. Perinatal outcome and long-term follow-up of extremely low birth weight infants depending on the mode of delivery. J. Matern Fetal Neonatal Med.24, 1235–1238 (2011). [DOI] [PubMed] [Google Scholar]
  • 4.Mitanchez, D., Yzydorczyk, C. & Simeoni, U. What neonatal complications should the pediatrician be aware of in case of maternal gestational diabetes? World J. Diabetes. 6, 734–743 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bokslag, A., van Weissenbruch, M., Mol, B. W. & de Groot, C. J. M. Preeclampsia; short and long-term consequences for mother and neonate. Early Hum. Dev.102, 47–50 (2016). [DOI] [PubMed] [Google Scholar]
  • 6.Zhang, M. et al. Trends, influencing factors and prediction analysis of under-five and maternal mortality rates in China from 1991 to 2020. Front. Public. Health. 11, 1198356 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dominguez-Bello, M. G. et al. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc. Natl. Acad. Sci. U. S. A. 107, 11971–11975 (2010). [DOI] [PMC free article] [PubMed]
  • 8.Long, G. et al. The influence of cesarean section on the composition and development of gut microbiota during the first 3 months of life. Front. Microbiol.12, 691312 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chu, D. M. et al. Maturation of the infant microbiome community structure and function across multiple body sites and in relation to mode of delivery. Nat. Med.23, 314–326 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dahlen, H. G. et al. The EPIIC hypothesis: intrapartum effects on the neonatal epigenome and consequent health outcomes. Med. Hypotheses. 80, 656–662 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Almgren, M. et al. Cesarean delivery and hematopoietic stem cell epigenetics in the newborn infant: implications for future health? Am. J. Obstet. Gynecol.211, 502e1–502e8 (2014). [DOI] [PubMed] [Google Scholar]
  • 12.Zhou, H. et al. Effects on developmental outcomes after cesarean birth versus vaginal birth in Chinese children aged 1–59 months: a cross-sectional community-based survey. PeerJ7, e7902 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Cohen, W. R., Robson, M. S. & Bedrick, A. D. Disquiet concerning cesarean birth. J. Perinat. Med.51, 591–599 (2023). [DOI] [PubMed] [Google Scholar]
  • 14.Kulas, T., Bursac, D., Zegarac, Z., Planinic-Rados, G. & Hrgovic, Z. New views on cesarean section, its possible complications and long-term consequences for children’s health. Med. Arch.67, 460–463 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Keag, O. E., Norman, J. E. & Stock, S. J. Long-term risks and benefits associated with cesarean delivery for mother, baby, and subsequent pregnancies: systematic review and meta-analysis. PLoS Med.15, e1002494 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Deoni, S. C. et al. Cesarean delivery impacts infant brain development. AJNR Am. J. Neuroradiol.40, 169–177 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang, L. et al. Cesarean section and the risk of overweight in grade 6 children. Eur. J. Pediatr.172, 1341–1347 (2013). [DOI] [PubMed] [Google Scholar]
  • 18.Maeda, H. et al. Association of cesarean section and infectious outcomes among infants at 1 year of age: logistic regression analysis using data of 104,065 records from the Japan Environment and Children’s study. PLoS One. 19, e0298950 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Vissing, N. H., Chawes, B. L., Rasmussen, M. A. & Bisgaard, H. Epidemiology and risk factors of infection in early childhood. Pediatrics141 (6), e20170933 (2018). [DOI] [PubMed]
  • 20.Hviid, A. & Melbye, M. The epidemiology of viral meningitis hospitalization in childhood. Epidemiology18, 695–701 (2007). [DOI] [PubMed] [Google Scholar]
  • 21.Moore, H. C., de Klerk, N., Holt, P., Richmond, P. C. & Lehmann, D. Hospitalisation for bronchiolitis in infants is more common after elective caesarean delivery. Arch. Dis. Child.97, 410–414 (2012). [DOI] [PubMed] [Google Scholar]
  • 22.Yoshida, T., Matsumura, K., Hatakeyama, T. & Inadera, H. Japan Environment, Children’s Study Group. Association between Cesarean section and neurodevelopmental disorders in a Japanese birth cohort: the Japan Environment and Children’s study. BMC Pediatr.23, 306 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.VanderWeele, T. J. Outcome-wide epidemiology. Epidemiology28, 399–402 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.VanderWeele, T. J., Mathur, M. B. & Chen, Y. Outcome-wide longitudinal designs for causal inference: a new template for empirical studies. Stat. Sci.35, 437–466 (2020). [Google Scholar]
  • 25.Fuse, K., Nishi, N. & Ikeda, N. Cohort profile: 2001 cohort of the longitudinal survey of newborns in the 21st century. Int. J. Epidemiol.46, 1398–1398f (2017). [DOI] [PubMed] [Google Scholar]
  • 26.Yamakawa, M., Yorifuji, T., Inoue, S., Kato, T. & Doi, H. Breastfeeding and obesity among schoolchildren: a nationwide longitudinal survey in Japan. JAMA Pediatr.167, 919–925 (2013). [DOI] [PubMed] [Google Scholar]
  • 27.Matsumoto, N. et al. Trajectory of body mass index and height changes from childhood to adolescence: a nationwide birth cohort in Japan. Sci. Rep.11, 23004 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Matsumoto, N. et al. Breastfeeding and risk of food allergy: a nationwide birth cohort in Japan. Allergol. Int.69, 91–97 (2020). [DOI] [PubMed] [Google Scholar]
  • 29.Matsumoto, N., Kadowaki, T., Tsukahara, H. & Yorifuji, T. Association between Dental Caries and Influenza Infection in children: a Japanese Nationwide Population-based study. Children8 (9), 780 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Umino, S. et al. Perinatal Comittee Report 2012 (in Japanese). J. Japanese Soc. Obstet. Gynecol.64, 1580–1598 (2012). [Google Scholar]
  • 31.Sugiyama, T. et al. Perinatal Comittee Report 2022 (in Japanese). 74, 692–714 (2022).
  • 32.Ministry of Health. Labour, and Welfare. Summary of the 2011 Survey of Medical Facilities (Static and Dynamic) and Hospital Report. (2012). https://www.mhlw.go.jp/toukei/saikin/hw/iryosd/11/
  • 33.Słabuszewska-Jóźwiak, A., Szymański, J. K., Ciebiera, M., Sarecka-Hujar, B. & Jakiel, G. Pediatrics consequences of caesarean section-A systematic review and meta-analysis. Int. J. Environ. Res. Public. Health. 17, 8031 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Rahman, M., Khan, N., Rahman, A., Alam, M. & Khan, A. Long-term effects of caesarean delivery on health and behavioural outcomes of the mother and child in Bangladesh. J. Health Popul. Nutr.41, 45 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Lee, K. J. et al. Framework for the treatment and reporting of missing data in observational studies: the treatment and reporting of missing data in Observational studies framework. J. Clin. Epidemiol.134, 79–88 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gaster, T., Eggertsen, C. M., Støvring, H., Ehrenstein, V. & Petersen, I. Quantifying the impact of unmeasured confounding in observational studies with the E value. BMJ Med.2, e000366 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.VanderWeele, T. J. & Ding, P. Sensitivity analysis in Observational Research: introducing the E-Value. Ann. Intern. Med.167, 268 (2017). [DOI] [PubMed] [Google Scholar]
  • 38.Bland, J. M. & Altman, D. G. Multiple significance tests: the Bonferroni method. BMJ310, 170 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Blake, J. A., Gardner, M., Najman, J. & Scott, J. G. The association of birth by caesarean section and cognitive outcomes in offspring: a systematic review. Soc. Psychiatry Psychiatr Epidemiol.56, 533–545 (2021). [DOI] [PubMed] [Google Scholar]
  • 40.Masukume, G. et al. Association between caesarean section delivery and obesity in childhood: a longitudinal cohort study in Ireland. BMJ Open.9, e025051 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Betrán, A. P. et al. The increasing trend in caesarean section rates: global, regional and national estimates: 1990–2014. PLoS One. 11, e0148343 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Dominguez-Bello, M. G. et al. Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer. Nat. Med.22, 250–253 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ikegami, N. et al. Japanese universal health coverage: evolution, achievements, and challenges. Lancet378, 1106–1115 (2011). [DOI] [PubMed] [Google Scholar]
  • 44.Ministry, H. Labour and Welfare. Vital Statics in Japan. (2022).
  • 45.Gabriel, A. S., Ninomiya, K. & Uneyama, H. The role of the Japanese traditional diet in healthy and sustainable dietary patterns around the world. Nutrients10 (2), 173 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

De-identified individual participant data will be made available upon reasonable request and approval by the Ministry of Health, Labour and Welfare and the Japan Society of Obstetrics and Gynecology. For data requests, please contact the corresponding author (naomim@okayama-u.ac.jp).


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