Parental fecundability and neurodevelopmental delays and difficulties in offspring (original) (raw)

Journal Article

,

Centre for Fertility and Health, Norwegian Institute of Public Health

, Oslo,

Norway

MRC Integrative Epidemiology Unit at the University of Bristol

, Bristol,

UK

Population Health Sciences, Bristol Medical School

, Bristol,

UK

Corresponding author. Centre for Fertility and Health, Norwegian Institute of Public Health, P.O. Box 222 Skøyen, 0213 Oslo, Norway. E-mail: Maria.Christine.Magnus@fhi.no

Search for other works by this author on:

,

MRC Integrative Epidemiology Unit at the University of Bristol

, Bristol,

UK

Population Health Sciences, Bristol Medical School

, Bristol,

UK

Nic Waals Institute, Lovisenberg Diaconal Hospital

, Oslo,

Norway

Department of Mental Disorders, Norwegian Institute of Public Health

, Oslo,

Norway

Search for other works by this author on:

,

Centre for Fertility and Health, Norwegian Institute of Public Health

, Oslo,

Norway

Epidemiology Branch, National Institute of Environmental Health Sciences

, Durham, NC,

USA

Search for other works by this author on:

Social Research Institute, University College London

, London,

UK

Search for other works by this author on:

Editorial decision:

06 April 2022

Cite

Maria C Magnus, Alexandra Havdahl, Allen J Wilcox, Alice Goisis, Parental fecundability and neurodevelopmental delays and difficulties in offspring, International Journal of Epidemiology, Volume 51, Issue 5, October 2022, Pages 1511–1521, https://doi.org/10.1093/ije/dyac094
Close

Navbar Search Filter Mobile Enter search term Search

Abstract

Background

Impaired neurodevelopment is reported among children conceived by assisted reproductive technologies (ART). However, this might be explained by conditions underlying parental subfecundity, rather than the ART procedure.

Methods

We examined associations of parental time-to-pregnancy (TTP) and conception by ART with neurodevelopmental traits up to 8 years of age, including motor and language skills, social delays and difficulties, and inattention-hyperactivity, among 92 142 singletons participating in the Norwegian Mother, Father and Child Cohort Study (MoBa). Mothers reported TTP and neurodevelopmental traits through questionnaires. Mean differences in standardized neurodevelopmental traits were estimated using linear regression, adjusting for maternal age, parity, educational level, body mass index and smoking, and paternal age.

Results

A longer TTP was associated with decreased language skills and motor skills at 6, 18 and 36 months (_P_-values for trend ≤0.01), prosocial skills delay at 36 months (_P_-values for trend ≤0.001) and increased scores for inattention-hyperactivity traits at all ages up to 8 years (_P_-values for trend from 0.06 to 0.01). Effect sizes were small, ranging between 0.03 and 0.05 difference in the standardized neurodevelopmental scores. Estimates for ART were imprecise, but there were no differences between children conceived by ART and naturally conceived children of subfecund parents (TTP ≥12 months).

Conclusions

Longer parental TTP is modestly but robustly associated with offspring neurodevelopmental delays and difficulties, with no added impact of ART. Future studies should investigate the underlying causes of—or aspects related to—parental subfecundity which might explain the association with offspring neurodevelopmental delays and difficulties.

Key Messages

Introduction

An increasing number of children are conceived using assisted reproductive technologies (ART).1,2 Possible effects of ART procedures on offspring neurodevelopmental delays and difficulties remain a matter of concern. A meta-analysis of relevant studies reported a 35% increased risk of autism among children conceived by ART.3 Two studies on attention-deficit/hyperactivity disorder (ADHD) in ART-conceived children showed modest evidence of increased ADHD.4,5 A limitation of studies relying on binary diagnostic outcomes is that children conceived by ART may be more likely to be developmentally monitored and referred than children conceived without ART. Only small studies (fewer than 500 observations) have examined associations of ART with measures of neurodevelopmental skills and difficulties, reporting conflicting results for inattention-hyperactivity and other externalizing difficulties, cognitive ability and language development.6–15 Given that neurodevelopmental skills and difficulties are distributed in the population,16,17 continuous measures could be more sensitive measures for investigating potentially subtle neurodevelopmental effects of ART.

A further key issue is the possible role of parental subfecundity (and the factors causing it) in neurodevelopmental outcomes of ART-conceived children. Subfecundity is the primary reason why couples resort to ART procedures. A few studies have suggested that subfecundity may be linked to atypical neurodevelopment in naturally conceived children, although studies are based on small samples (less than 300 subfecund couples).18–20 Fertility (specifically fecundability, as measured by TTP) is a continuous variable ranging from highly fecund to subfecund. Previous studies have not considered parental TTP as a continuous variable. Whether there is any difference in offspring neurodevelopmental traits with increasing parental TTP remains an unanswered question.

The objective of this study was to examine the associations between parental fecundity and offspring continuously measured neurodevelopmental outcomes. Parental fecundity was measured by TTP and inferred from use of ART. We used a large Norwegian population-based cohort of children with information on several neurodevelopmental measures up to 8 years of age.

Methods

The Norwegian mother, father and child cohort study

We studied children participating in the Norwegian Mother, Father and Child Cohort Study (MoBa).21 MoBa recruited pregnant women (about 95 000) and their partners (about 75 000) across Norway between 1999 and 2009. As women could participate with more than one pregnancy, the cohort includes approximately 114 000 children. Written informed consent was obtained from all participants. Parents consented on behalf of their children. The participation rate among all eligible pregnant women during the follow-up period was 41%.21 Information from participants was obtained through questionnaires at the time of recruitment and at regular follow-up intervals. We restricted our sample to live-born singleton children whose mothers provided information on TTP at the time of recruitment (18 gestational weeks; n = 92 142) (Figure 1). We obtained information from the MoBa children’s birth record from the Medical Birth Registry of Norway (hereafter referred to as the ‘birth registry’) by linkage through national personal identification numbers. The Norwegian data inspectorate approved the data collection in MoBa and the linkage to the birth registry.

Study population. MoBa: the Norwegian Mother, Father and Child Cohort Study

Figure 1

Study population. MoBa: the Norwegian Mother, Father and Child Cohort Study

Measures of parental fecundity

At the time of recruitment, women were asked whether their pregnancy was planned and, if so, how long it took for them to conceive (‘less than 1 month’, ‘1–2 months’, or ‘3 months or more’). Women who answered ‘3 months or more’ were asked to provide the exact number of months. TTP offers a continuous assessment of fecundability (the probability of conceiving in a given menstrual cycle). TTP can be thought of as a measure of fecundity ranging from very low to high, which allows for dose-response analyses.

Use of ART was registered in the birth registry with the following subtypes: i_n vitro_ fertilization (IVF), intracytoplasmic sperm injection (ICSI) or ‘other/unknown’ fertilization methods. The registry also provided information on whether the transferred embryo was fresh or had been frozen.

Finally, we considered unplanned pregnancies as a distinct group. Mothers with unplanned pregnancies are unable to provide a TTP, and so cannot be included in TTP analyses. These mothers may also differ from mothers with planned pregnancies in other important aspects.

The exposure of interest was therefore a five-category variable classifying the children according to parental TTP and use of ART: TTP ≤3 months (reference), TTP 4–11 months, TTP ≥12 months, ART and unplanned pregnancy.

Continuous measures of neurodevelopmental traits

The MoBa study included a broad range of validated neurodevelopmental measures across early childhood. Language skills were measured using the Ages and Stages Questionnaire (ASQ) (6 months, 18 months, 36 months and 5 years),22 and the Children’s Communication Checklist administered at 8 years of age.23 Motor skills were measured by the ASQ at 6, 18 and 36 months. Mothers also provided information on the age at which their child started walking (continuous measure), the age at which they used their first word (by 24 months versus older) and age when the child used their first phrase (by 30 months versus older). We obtained information on social difficulties using the Modified Checklist for Autism in Toddlers (M-CHAT; 18 months),24 Social Communication Questionnaire (SCQ; 36 months and 8 years)25 and the Strengths and Difficulties Questionnaire-prosocial subscale (SDQ; 36 months).26 Measures of inattention-hyperactivity include the Child Behaviour Checklist attention deficit hyperactivity problems scale (CBCL; 18 months, 36 months and 5 years) and the Rating Scale for Disruptive Behaviour Disorder (RS-DBD; 8 years).27,28 Details of these questions and the response options are included in Supplementary Tables S1–S3 (available as Supplementary data at IJE online).

For all scales, we created a mean score standardized into z-scores. In addition, we evaluated extreme categories of neurodevelopmental difficulties defined by z-scores. We created a category of +2 standard deviations or higher for age at which the child started walking and measures of social difficulties and inattention-hyperactivity, and –2 standard deviations or lower for language and motor skills.

Covariates

We identified potential confounders that could influence both parental fecundity and offspring neurodevelopmental difficulties, based on our knowledge of the literature. These included parental age at delivery (continuous), maternal parity (0, 1, 2 and 3 or more), maternal educational level (less than high school, high school, up to 4 years of college, more than 4years of college), maternal smoking during pregnancy (yes/no), in addition to maternal pre-pregnancy body mass index [categorized as underweight (<18.5), normal weight (18.5–24.9), overweight (25.0–29.9) and obese (≥30)]. Offspring gestational age in weeks and birthweight in grams were identified as potential mediators of the relationship between parental fertility potential and offspring neurodevelopmental difficulties, and offspring sex was identified as a potential confounder of the relationship between birthweight/gestational age and offspring neurodevelopmental difficulties.

Statistical analysis

We used ordinary linear regression to estimate the mean difference in the continuous measures of neurodevelopmental traits among naturally conceived children according to parental TTP and use of ART. We used bootstrapping with 1000 iterations for robust estimation of standard errors and confidence intervals to account for skewed distributions in some of the neurodevelopmental scores. We used logistic regression for the neurodevelopmental problems as binary outcomes. Multivariable analyses adjusted for maternal age, parity, education, body mass index and smoking during pregnancy. In a second multivariable model, we assessed birthweight and gestational age as potential mediators, also adjusting for offspring sex. To test for trends in differences in neurodevelopmental traits across parental TTP among spontaneously conceived offspring, we entered the TTP variable as a continuous variable, excluding children of parents with unplanned pregnancies. We also estimated sex-stratified analyses and tested for evidence of interaction by sex. We evaluated the combined effect of the interaction terms using a log likelihood ratio test comparing the model with and without the interaction terms of interest.

Secondary analyses directly compared the neurodevelopmental measures among children of parents with a TTP ≥12 months (the usual clinical definition of subfecundity) with offspring conceived by ART, in an attempt to distinguish effects of ART from the effect of underlying parental subfecundity.

We assessed possible selection bias due to loss to follow-up by conducting sensitivity analysis with inverse probability weighting. Weights were generated based on the probability of having information available from the relevant follow-up questionnaire (6 months, 18 months, 36 months, 5 years and 8 years). This probability was generated using baseline characteristics available from the birth registry and data collected at recruitment.

All statistical analyses were conducted using Stata version 15 (Statacorp, TX.

Results

A total of 92 142 children were eligible for analysis; 98% were naturally conceived and 2% were conceived by ART. The number of children with available data for the various neurodevelopmental outcomes ranged from 86 239 at 6 months of age to 42 290 at 8 years of age. Among the naturally conceived pregnancies, 54% had a TTP of ≤3 months, 19% had a TTP 4–11 months, 9% had TTP or 12 months or more. In addition, 18% were unplanned pregnancies with no known TTP. Mothers in subfecund couples or who conceived by ART were older, more likely to be primiparous and more likely to be overweight or obese than mothers of children of more fecund couples (Table I). There were also differences between mothers in subfecund couples and ART mothers. Mothers in subfecund couples were more likely to be smokers and not to have a high school education (Table 1). Women with unplanned pregnancies were markedly different from the rest, being disadvantaged in most respects: more likely to smoke, more likely to be overweight or obese and with a lower educational attainment (Table 1).

Table 1

Distribution of background characteristics according to parental time-to-pregnancy (TTP) and conception by assisted reproductive technologies (ART)

Characteristic TTP 0-3 months (n = 48 608) TTP 4-11 months (n = 17 384) TTP ≥12 months (n = 7926) ART (n = 1926) Unplanned (n = 16 298)
Maternal age, mean(SD) 30.1 (4.2) 30.5 (4.3) 31.3 (4.6) 33.1 (3.8) 28.9 (5.5)
Paternal age, mean(SD) 32.6 (5.0) 33.0 (5.0) 34.0 (5.6) 35.8 (5.4) 31.8 (6.5)
Maternal parity, n (%)
0 19 882 (40.9) 8186 (47.1) 4286 (54.1) 1318 (68.4) 7813 (47.9)
1 19 410 (39.9) 6321 (36.4) 2500 (31.5) 489 (25.4) 4144 (25.4)
2 7560 (15.6) 2320 (13.4) 894 (11.3) 89 (4.6) 3029 (18.6)
3 or higher 1756 (3.6) 557 (3.2) 246 (3.1) 30 (1.6) 1312 (8.1)
Maternal education, n (%)
Less than high school 2818 (5.8) 1088 (6.3) 664 (8.4) 111 (5.8) 2420 (14.9)
High school 12936 (26.6) 4812 (27.7) 2601 (32.8) 505 (26.2) 6181 (37.9)
Up to 4 years of college 20 749 (42.7) 7312 (42.1) 3083 (38.9) 811 (42.1) 5282 (32.4)
More than 4 years of college 12 105 (24.9) 4172 (24.0) 1578 (19.9) 499 (25.9) 2415 (14.8)
Maternal body mass index, n (%)
Underweight 1398 (2.9) 463 (2.7) 259 (3.3) 45 (2.3) 745 (4.6)
Normal weight 32 961 (67.8) 11 248 (64.7) 4591 (57.9) 1259 (65.4) 10 594 (65.0)
Overweight 10 545 (21.7) 3990 (23.0) 1935 (24.4) 449 (23.3) 3357 (20.6)
Obese 3704 (7.6) 1683 (9.7) 1141 (14.4) 173 (9.0) 1602 (9.8)
Maternal smoking during pregnancy, n (%)
No 39 074 (80.4) 13 442 (77.3) 5779 (72.9) 1701 (88.3) 10 651 (65.4)
Yes 9534 (19.6) 3942 (22.7) 2147 (27.1) 225 (11.7) 5647 (34.7)
Offspring sex, n (%)
Male 24 853 (51.1) 8920 (51.3) 4092 (51.6) 974 (50.6) 8401 (51.6)
Female 23 755 (48.9) 8464 (48.7) 3834 (48.4) 952 (49.4) 7897 (48.5)
Offspring gestational age, mean (SD) 39.5 (1.8) 39.5 (1.8) 39.4 (2.0) 39.2 (2.3) 39.4 (1.9)
Offspring birthweight, mean (SD) 3619 (547) 3595 (548) 3555 (584) 3464 (640) 3577 (571)
Characteristic TTP 0-3 months (n = 48 608) TTP 4-11 months (n = 17 384) TTP ≥12 months (n = 7926) ART (n = 1926) Unplanned (n = 16 298)
Maternal age, mean(SD) 30.1 (4.2) 30.5 (4.3) 31.3 (4.6) 33.1 (3.8) 28.9 (5.5)
Paternal age, mean(SD) 32.6 (5.0) 33.0 (5.0) 34.0 (5.6) 35.8 (5.4) 31.8 (6.5)
Maternal parity, n (%)
0 19 882 (40.9) 8186 (47.1) 4286 (54.1) 1318 (68.4) 7813 (47.9)
1 19 410 (39.9) 6321 (36.4) 2500 (31.5) 489 (25.4) 4144 (25.4)
2 7560 (15.6) 2320 (13.4) 894 (11.3) 89 (4.6) 3029 (18.6)
3 or higher 1756 (3.6) 557 (3.2) 246 (3.1) 30 (1.6) 1312 (8.1)
Maternal education, n (%)
Less than high school 2818 (5.8) 1088 (6.3) 664 (8.4) 111 (5.8) 2420 (14.9)
High school 12936 (26.6) 4812 (27.7) 2601 (32.8) 505 (26.2) 6181 (37.9)
Up to 4 years of college 20 749 (42.7) 7312 (42.1) 3083 (38.9) 811 (42.1) 5282 (32.4)
More than 4 years of college 12 105 (24.9) 4172 (24.0) 1578 (19.9) 499 (25.9) 2415 (14.8)
Maternal body mass index, n (%)
Underweight 1398 (2.9) 463 (2.7) 259 (3.3) 45 (2.3) 745 (4.6)
Normal weight 32 961 (67.8) 11 248 (64.7) 4591 (57.9) 1259 (65.4) 10 594 (65.0)
Overweight 10 545 (21.7) 3990 (23.0) 1935 (24.4) 449 (23.3) 3357 (20.6)
Obese 3704 (7.6) 1683 (9.7) 1141 (14.4) 173 (9.0) 1602 (9.8)
Maternal smoking during pregnancy, n (%)
No 39 074 (80.4) 13 442 (77.3) 5779 (72.9) 1701 (88.3) 10 651 (65.4)
Yes 9534 (19.6) 3942 (22.7) 2147 (27.1) 225 (11.7) 5647 (34.7)
Offspring sex, n (%)
Male 24 853 (51.1) 8920 (51.3) 4092 (51.6) 974 (50.6) 8401 (51.6)
Female 23 755 (48.9) 8464 (48.7) 3834 (48.4) 952 (49.4) 7897 (48.5)
Offspring gestational age, mean (SD) 39.5 (1.8) 39.5 (1.8) 39.4 (2.0) 39.2 (2.3) 39.4 (1.9)
Offspring birthweight, mean (SD) 3619 (547) 3595 (548) 3555 (584) 3464 (640) 3577 (571)

Table 1

Distribution of background characteristics according to parental time-to-pregnancy (TTP) and conception by assisted reproductive technologies (ART)

Characteristic TTP 0-3 months (n = 48 608) TTP 4-11 months (n = 17 384) TTP ≥12 months (n = 7926) ART (n = 1926) Unplanned (n = 16 298)
Maternal age, mean(SD) 30.1 (4.2) 30.5 (4.3) 31.3 (4.6) 33.1 (3.8) 28.9 (5.5)
Paternal age, mean(SD) 32.6 (5.0) 33.0 (5.0) 34.0 (5.6) 35.8 (5.4) 31.8 (6.5)
Maternal parity, n (%)
0 19 882 (40.9) 8186 (47.1) 4286 (54.1) 1318 (68.4) 7813 (47.9)
1 19 410 (39.9) 6321 (36.4) 2500 (31.5) 489 (25.4) 4144 (25.4)
2 7560 (15.6) 2320 (13.4) 894 (11.3) 89 (4.6) 3029 (18.6)
3 or higher 1756 (3.6) 557 (3.2) 246 (3.1) 30 (1.6) 1312 (8.1)
Maternal education, n (%)
Less than high school 2818 (5.8) 1088 (6.3) 664 (8.4) 111 (5.8) 2420 (14.9)
High school 12936 (26.6) 4812 (27.7) 2601 (32.8) 505 (26.2) 6181 (37.9)
Up to 4 years of college 20 749 (42.7) 7312 (42.1) 3083 (38.9) 811 (42.1) 5282 (32.4)
More than 4 years of college 12 105 (24.9) 4172 (24.0) 1578 (19.9) 499 (25.9) 2415 (14.8)
Maternal body mass index, n (%)
Underweight 1398 (2.9) 463 (2.7) 259 (3.3) 45 (2.3) 745 (4.6)
Normal weight 32 961 (67.8) 11 248 (64.7) 4591 (57.9) 1259 (65.4) 10 594 (65.0)
Overweight 10 545 (21.7) 3990 (23.0) 1935 (24.4) 449 (23.3) 3357 (20.6)
Obese 3704 (7.6) 1683 (9.7) 1141 (14.4) 173 (9.0) 1602 (9.8)
Maternal smoking during pregnancy, n (%)
No 39 074 (80.4) 13 442 (77.3) 5779 (72.9) 1701 (88.3) 10 651 (65.4)
Yes 9534 (19.6) 3942 (22.7) 2147 (27.1) 225 (11.7) 5647 (34.7)
Offspring sex, n (%)
Male 24 853 (51.1) 8920 (51.3) 4092 (51.6) 974 (50.6) 8401 (51.6)
Female 23 755 (48.9) 8464 (48.7) 3834 (48.4) 952 (49.4) 7897 (48.5)
Offspring gestational age, mean (SD) 39.5 (1.8) 39.5 (1.8) 39.4 (2.0) 39.2 (2.3) 39.4 (1.9)
Offspring birthweight, mean (SD) 3619 (547) 3595 (548) 3555 (584) 3464 (640) 3577 (571)
Characteristic TTP 0-3 months (n = 48 608) TTP 4-11 months (n = 17 384) TTP ≥12 months (n = 7926) ART (n = 1926) Unplanned (n = 16 298)
Maternal age, mean(SD) 30.1 (4.2) 30.5 (4.3) 31.3 (4.6) 33.1 (3.8) 28.9 (5.5)
Paternal age, mean(SD) 32.6 (5.0) 33.0 (5.0) 34.0 (5.6) 35.8 (5.4) 31.8 (6.5)
Maternal parity, n (%)
0 19 882 (40.9) 8186 (47.1) 4286 (54.1) 1318 (68.4) 7813 (47.9)
1 19 410 (39.9) 6321 (36.4) 2500 (31.5) 489 (25.4) 4144 (25.4)
2 7560 (15.6) 2320 (13.4) 894 (11.3) 89 (4.6) 3029 (18.6)
3 or higher 1756 (3.6) 557 (3.2) 246 (3.1) 30 (1.6) 1312 (8.1)
Maternal education, n (%)
Less than high school 2818 (5.8) 1088 (6.3) 664 (8.4) 111 (5.8) 2420 (14.9)
High school 12936 (26.6) 4812 (27.7) 2601 (32.8) 505 (26.2) 6181 (37.9)
Up to 4 years of college 20 749 (42.7) 7312 (42.1) 3083 (38.9) 811 (42.1) 5282 (32.4)
More than 4 years of college 12 105 (24.9) 4172 (24.0) 1578 (19.9) 499 (25.9) 2415 (14.8)
Maternal body mass index, n (%)
Underweight 1398 (2.9) 463 (2.7) 259 (3.3) 45 (2.3) 745 (4.6)
Normal weight 32 961 (67.8) 11 248 (64.7) 4591 (57.9) 1259 (65.4) 10 594 (65.0)
Overweight 10 545 (21.7) 3990 (23.0) 1935 (24.4) 449 (23.3) 3357 (20.6)
Obese 3704 (7.6) 1683 (9.7) 1141 (14.4) 173 (9.0) 1602 (9.8)
Maternal smoking during pregnancy, n (%)
No 39 074 (80.4) 13 442 (77.3) 5779 (72.9) 1701 (88.3) 10 651 (65.4)
Yes 9534 (19.6) 3942 (22.7) 2147 (27.1) 225 (11.7) 5647 (34.7)
Offspring sex, n (%)
Male 24 853 (51.1) 8920 (51.3) 4092 (51.6) 974 (50.6) 8401 (51.6)
Female 23 755 (48.9) 8464 (48.7) 3834 (48.4) 952 (49.4) 7897 (48.5)
Offspring gestational age, mean (SD) 39.5 (1.8) 39.5 (1.8) 39.4 (2.0) 39.2 (2.3) 39.4 (1.9)
Offspring birthweight, mean (SD) 3619 (547) 3595 (548) 3555 (584) 3464 (640) 3577 (571)

Language and motor skill development

We assessed language and motor skills at 6 months, 18 months and 36 months and (for language skills only) also 5 years. Decreased fecundity was robustly related in a dose-response manner with decreased language and motor function at all these ages. There was robust evidence of differences in language and motor skills according to parental TTP (_P-_values for trend ranging from 0.01 to <0.001). Absolute effects estimates were small, ranging from -0.02 to -0.06 standard deviations (SDs; Figures 2 and 3; Supplementary Tables S4 and S5, available as Supplementary data at IJE online). These absolute effect estimates were of similar magnitude for children of ART pregnancies, although ART estimates had wider confidence intervals due to smaller sample sizes (Figure 2; Supplementary Table S4). Similar patterns were seen in the evaluation of the odds for language and motor delays (Supplementary Tables S6 and S7, available as Supplementary data at IJE online). The associations with language and communications skills were all in the same direction for parental subfecundity and use of ART, with the exception of the scores at 18 months, where naturally conceived children of parents with subfecundity had a lower language score whereas children conceived by ART had a higher score.

Difference in language and communication skills according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. ASQ, Ages and Stages Questionnaire; CI, confidence interval. Higher values indicate greater communication skills. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Figure 2

Difference in language and communication skills according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. ASQ, Ages and Stages Questionnaire; CI, confidence interval. Higher values indicate greater communication skills. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Differences in motor skills between according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. ASQ, Ages and Stages Questionnaire; CI, confidence interval. Higher values indicate greater motor skills. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Figure 3

Differences in motor skills between according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. ASQ, Ages and Stages Questionnaire; CI, confidence interval. Higher values indicate greater motor skills. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Early childhood social difficulties

The only social scale associated with parental TTP was the SDQ Prosocial skills scale at 36 months (P = 0.001), with an absolute higher score (indicating prosocial skills delay) of 0.05 SDs (95% CI: 0.02, 0.08) between children of parents with TTP ≥12 months and ≤3 months. Offspring of ART couples had social difficulty scores that were lower or similar to the offspring of the most fecund parents (TTP ≤3 months) (Figure 4; and Supplementary Tables S8 and S9, available as Supplementary data at IJE online).

Differences in autistic traits according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. CI, confidence interval; M-CHAT, Modified Checklist for Autism in Toddlers; SCQ, Social Communication Questionnaire; SDQ, Strengths and Difficulties Questionnaire-prosocial subscale. Higher values indicate more autistic traits. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Figure 4

Differences in autistic traits according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. CI, confidence interval; M-CHAT, Modified Checklist for Autism in Toddlers; SCQ, Social Communication Questionnaire; SDQ, Strengths and Difficulties Questionnaire-prosocial subscale. Higher values indicate more autistic traits. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Inattention-hyperactivity traits

Inattention and hyperactivity traits were assessed at 18 months, 36 months, 5 years and 8 years of age. Higher inattention-hyperactivity at all ages were associated in a dose-response manner with longer TTP, with _P_-values for trend ranging from 0.06 to 0.007. In absolute terms, offspring of subfecund couples had mean increases in inattention-hyperactivity scores of 0.03 to 0.05 SDs (Figure 5; Supplementary Tables S10 and S11, available as Supplementary data at IJE online). Children conceived through ART showed no robust evidence of increased scores for inattention-hyperactivity (Figure 5; Supplementary Tables S10 and S11). Inattention-hyperactivity scores among children conceived by ART were very similar to those children of the most fecund parents (TTP <3), with the exception of the CBCL score at 36 months, where ART children had lower scores. However, confidence intervals were wide.

Differences in attention-deficit and hyperactivity traits according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. CBCL, Child Behaviour Checklist; CI, confidence interval; RS-DBD, Rating Scale for Disruptive Behaviour Disorder. Higher values indicate more attention difficulties and hyperactivity symptoms. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Figure 5

Differences in attention-deficit and hyperactivity traits according to time-to-pregnancy (TTP) and use of assisted reproductive technologies (ART). The reference category are children of parents with a TTP ≤3 months. CBCL, Child Behaviour Checklist; CI, confidence interval; RS-DBD, Rating Scale for Disruptive Behaviour Disorder. Higher values indicate more attention difficulties and hyperactivity symptoms. Adjusted for maternal age, parity, educational level, body mass index and smoking during pregnancy, in addition to paternal age

Comparing naturally conceived children of subfecund parents with ART children

We also conducted a direct comparison of outcomes among naturally conceived children of subfecund parents (TTP > 12 months) and children conceived by ART. This was conducted to uncover a possible direct role of the ART procedure beyond those seen with subfecundity. There was no consistent evidence of a difference in language and communication or motor skills between these two groups (Supplementary Tables S12 and 13, available as Supplementary data at IJE online). ART children appeared to have slightly lower scores for social difficulties at 18 and 36 months than naturally conceived children of subfecund parents (Supplementary Table S14, available as Supplementary data at IJE online). There were no robust differences between the groups in inattention-hyperactivity scores (Supplementary Table S15, available as Supplementary data at IJE online).

Neurodevelopmental measures among offspring of unplanned pregnancies

Children of unplanned pregnancies had slightly lower language and communication skills scores than the children of most fecund women (Supplementary Table S4), with little evidence of differences in motor function (Supplementary Table S5). These children also had more social difficulties at 36 months (Supplementary Table S7), and higher measures of inattention-hyperactivity at all time points (Supplementary Tables S10 and S11).

Sensitivity analysis

We found no robust evidence that the associations of interest were different according to offspring sex (_P_-values for interaction terms >0.2). The results were also practically identical after using inverse probability weighting to account for selection bias due to differing response rates. Although adjustment for birthweight or gestational age can itself introduce bias, we found only minor changes with such adjustments (Supplementary Tables S4–11).

Discussion

We found a consistent dose-response relationship between longer TTP and a range of neurodevelopmental scale measures at several ages during early to mid-childhood. These outcomes included lower language and communication skills, lower motor skills and increased inattention-hyperactivity. In contrast, measures of social difficulties did not showed a consistent association with TTP, with a dose-response association for only prosocial skills at 36 months. Differences linked to long times to pregnancy were similar to results seen for children conceived by ART. The differences in the neurodevelopmental measures among offspring of subfecund parents and ART parents were mostly in the same direction, with only a few exceptions. These results suggest that it is unlikely that ART treatment in itself influences offspring neurodevelopmental functioning. This conclusion was further supported by our analyses comparing ART and naturally conceived offspring of subfecund parents (TTP ≥12 months). We were able to control for a range of possible explanatory variables such as maternal education, smoking during pregnancy and birth outcomes. Other important and unobserved variables, such as biological/genetic and psychosocial aspects including stress, could be at work and should be investigated.

Important strengths of our study include the large sample size, our ability to examine a broad range of measures of neurodevelopmental skills and difficulties, and the detailed evaluation of the role of underlying parental subfecundity. As far as we know, no previous study has had these features. Our study also has some limitations. Selection bias due to initial participation rate in MoBa or subsequent loss to follow-up is possible. We attempted to address loss to follow-up with inverse probability weighting, with little evidence of selection bias. Our analysis directly comparing offspring of ART and subfecund parents had limited power, as indicated by the confidence intervals. It is possible that risks were similar for offspring of subfecund and ART parents because the advantages of parents using ART (e.g. higher socioeconomic resources) cancelled out a harmful effect of ART. However, adjustment for educational attainment did not substantially influence the estimates. We also relied on parental report of neurodevelopmental skills and difficulties. Although the parent-reported scales are well validated and commonly used to detect signs of neurodevelopmental delays and difficulties,29–32 they can have measurement error and bias associated with parental characteristics such as socioeconomic status. Future studies should include data on neurodevelopmental skills and difficulties based on multiple sources of information, such as parent-report, teacher-report and direct testing/observation. Larger population-based samples of children with information on ART conception and long-term follow-up of diagnostic outcomes to adolescence will also be informative to compare results for neurodevelopmental diagnoses and continuous measures of neurodevelopmental skills and difficulties.

Unplanned pregnancies are a distinct group. Descriptive results show that they are, on average, disadvantaged socioeconomically and have worse health behaviours during pregnancy. We observed increased scores for inattention-hyperactivity and social difficulties among their offspring, and some evidence of lower scores for communication skills. To our knowledge, this has not previously been reported, and these findings warrant replication. A systematic review has found that women with ADHD are more likely to have an unplanned pregnancy,33 and it is possible that there is an increased genetic predisposition in the offspring of parents with unplanned pregnancies. Studies examining TTP should keep in mind that the exclusion of mothers with unplanned pregnancies removes a group of higher-risk mothers.

Previous systematic reviews have suggested that ART-conceived children show similar development of motor and language skills as naturally conceived children.6,11,34 Other studies have raised concerns about neurodevelopmental difficulties. A modest increased risk of ADHD was observed in a Swedish registry-based study.4 This association was attenuated after restriction to singletons and adjustment for fecundity (length of involuntary childlessness). A Danish registry-based study of 124 269 children with mothers with known fertility problems has reported a modest increased risk of ADHD when compared with children of mothers without fertility problems.5 This study did not examine the role of ART specifically, which could have contributed to their finding if ART procedures were a causal factor. Our findings indicating no robust differences in social difficulties is also in line with a recent meta-analysis indicating no increased risk of autism among children conceived by ART after restricting to singletons.3

We found strong evidence of a dose-response relationship between reduced fecundability and a range of neurodevelopmental outcomes, although effect sizes were modest. This observation is supported by a few previous studies with small sample sizes. A study including 90 naturally conceived children of subfecund parents indicated poorer motor development measured by general movements at 3 months.35 A study of 209 children of subfecund parents found that increased TTP was associated with motor difficulties in their offspring measured at 2 years of age.19 An increased risk of motor difficulties at 4 years of age has also been reported with increasing parental TTP among offspring of subfecund parents (79 children),20 and another study reported a substantially increased risk of minor neurodevelopmental difficulties when comparing offspring of subfecund parents (66 children) and fecund parents (282 children).18 Our study provides TTP for a very large sample of naturally conceived pregnancies, providing strong evidence that parental subfecundity (and potentially more specifically, the unmeasured conditions that cause subfecundability) are linked to neurodevelopmental difficulties, and might explain previously reported links between ART and offspring neurodevelopment.

We can only speculate as to potential explanations for a relationship between parental subfecundity and offspring neurodevelopment. A priori we hypothesized that adverse pregnancy outcomes (preterm birth and low birthweight) might act as potential mediators of the relationship between parental subfecundity and poorer offspring neurodevelopment.36,37 However, additional adjustment for these pregnancy outcomes only resulted in a modest attenuation of the associations. It has also been hypothesized that underlying parental stress might contribute to neurodevelopmental difficulties among offspring of subfecund couples, due to the stress couples might experience when struggling to conceive. Some studies report that maternal stress might increase the risk of neurodevelopmental difficulties in the offspring.38,39 Finally, it is possible that underlying contributing causes of subfecundity might be reflected in neurodevelopmental difficulties in the offspring. For example, it might be that couples struggling to conceive have genetic material that is less compatible, and this again might result in an increased risk of neurodevelopmental difficulties in the offspring.40

Further studies are needed to understand the mechanisms underlying the association between parental subfecundity and offspring neurodevelopmental difficulties. Nonetheless, our data on the lack of evidence for a role of ART beyond the associations with subfecundity are reassuring. They suggest that ART procedures in themselves have no robust influence on neurodevelopmental skills and difficulties. This is particularly encouraging, as the number of offspring conceived by ART continues to increase across the world.

Conclusion

In conclusion, longer parental TTP was modestly but robustly associated with offspring neurodevelopmental delays and difficulties, with no added impact of ART beyond what was observed for subfecund mothers (TTP ≥12 months). Future studies should look further into underlying reasons why parental subfecundity is associated with offspring neurodevelopmental delays and difficulties.

Ethics approval

The current study was approved by the Regional Committee for Medical and Health Research Ethics of South/East Norway (reference number 2014/404).

Data availability

Data from the Norwegian Mother, Father and Child Cohort Study are available upon application to all researchers [https://www.fhi.no/en/studies/moba/for-forskere-artikler/research-and-data-access/]. Ethical approvals are required.

Supplementary data

Supplementary data are available at IJE online.

Author contributions

M.C.M., A.J.W., A.H. and A.G. conceptualized the study. M.C.M. analysed the data and wrote the first draft of the manuscript. All authors contributed to the interpretation of the data and review of the manuscript.

Funding

This research was supported by the Research Council of Norway through its Centres of Excellence funding scheme, project number 262700. M.C.M. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 947684). A.H. was supported by the South-Eastern Norway Regional Health Authority (2018059 and 2020022) and the Research Council of Norway (274611, 288083). A.G. was supported by the European Research Council (803959 MARTE). A.J.W. was supported by the Intramural Program of the National Institute of Environmental Health Sciences, NIH.

Acknowledgements

The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. We are grateful to all the participating families in Norway who take part in this ongoing cohort study.

Conflict of interest

The authors have no conflicts of interest to declare.

References

1

De Geyter

C

,

Calhaz-Jorge

C

,

Kupka

MS

et al.

ART in Europe, 2015: results generated from European registries by ESHRE

.

Hum Reprod Open

2020

;

2020

:

hoz038

.

2

de Mouzon

J

,

Chambers

GM

,

Zegers-Hochschild

F

et al.

International Committee for Monitoring Assisted Reproductive Technologies world report: assisted reproductive technology 2012

.

Hum Reprod

2020

;

35

:

1900

13

.

3

Liu

L

,

Gao

J

,

He

X

et al.

Association between assisted reproductive technology and the risk of autism spectrum disorders in the offspring: a meta-analysis

.

Sci Rep

2017

;

7

:

46207

.

4

Kallen

AJ

,

Finnstrom

OO

,

Lindam

AP

et al.

Is there an increased risk for drug treated attention deficit/hyperactivity disorder in children born after in vitro fertilization?

Eur J Paediatr Neurol

2011

;

15

:

247

53

.

5

Svahn

MF

,

Hargreave

M

,

Nielsen

TS

et al.

Mental disorders in childhood and young adulthood among children born to women with fertility problems

.

Hum Reprod

2015

;

30

:

2129

37

.

6

Bay

B

,

Mortensen

EL

,

Kesmodel

US.

Assisted reproduction and child neurodevelopmental outcomes: a systematic review

.

Fertil Steril

2013

;

100

:

844

53

.

7

Gibson

FL

,

Ungerer

JA

,

Leslie

GI

,

Saunders

DM

,

Tennant

CC.

Development, behaviour and temperament: a prospective study of infants conceived through in-vitro fertilization

.

Hum Reprod

1998

;

13

:

1727

32

.

8

Golombok

S

,

MacCallum

F

,

Goodman

E.

The "test-tube" generation: parent-child relationships and the psychological well-being of in vitro fertilization children at adolescence

.

Child Dev

2001

;

72

:

599

608

.

9

Knoester

M

,

Helmerhorst

FM

,

Vandenbroucke

JP

et al.

Cognitive development of singletons born after intracytoplasmic sperm injection compared with in vitro fertilization and natural conception

.

Fertil Steril

2008

;

90

:

289

96

.

10

Levy-Shiff

R

,

Vakil

E

,

Dimitrovsky

L

et al.

Medical, cognitive, emotional, and behavioral outcomes in school-age children conceived by in-vitro fertilization

.

J Clin Child Psychol

1998

;

27

:

320

29

.

11

Middelburg

KJ

,

Heineman

MJ

,

Bos

AF

,

Hadders-Algra

M.

Neuromotor, cognitive, language and behavioural outcome in children born following IVF or ICSI: a systematic review

.

Hum Reprod Update

2008

;

14

:

219

31

.

12

Ponjaert-Kristoffersen

I

,

Bonduelle

M

,

Barnes

J

et al.

International collaborative study of intracytoplasmic sperm injection-conceived, in vitro fertilization-conceived, and naturally conceived 5-year-old child outcomes: cognitive and motor assessments

.

Pediatrics

2005

;

115

:

e283

89

.

13

Wagenaar

K

,

van Weissenbruch

MM

,

Knol

DL

et al.

Behavior and socioemotional functioning in 9-18-year-old children born after in vitro fertilization

.

Fertil Steril

2009

;

92

:

1907

14

.

14

Wagenaar

K

,

van Weissenbruch

MM

,

van Leeuwen

FE

et al.

Self-reported behavioral and socioemotional functioning of 11- to 18-year-old adolescents conceived by in vitro fertilization

.

Fertil Steril

2011

;

95

:

611

16

.

15

Zhu

JL

,

Basso

O

,

Obel

C

,

Hvidtjorn

D

,

Olsen

J.

Infertility, infertility treatment and psychomotor development: the Danish National Birth Cohort

.

Paediatr Perinat Epidemiol

2009

;

23

:

98

106

.

16

Ahmad

SI

,

Hinshaw

SP.

Attention-deficit/hyperactivity disorder, trait impulsivity, and externalizing behavior in a longitudinal sample

.

J Abnorm Child Psychol

2017

;

45

:

1077

89

.

17

Larsson

H

,

Anckarsater

H

,

Råstam

M

,

Chang

Z

,

Lichtenstein

P.

Childhood attention-deficit hyperactivity disorder as an extreme of a continuous trait: a quantitative genetic study of 8,500 twin pairs

.

J Child Psychol Psychiatry

2012

;

53

:

73

80

.

18

Drenth Olivares

M

,

Kuiper

DB

,

Haadsma

ML

et al.

IVF procedures are not, but subfertility is associated with neurological condition of 9-year-old offspring

.

Early Hum Dev

2019

;

129

:

38

44

.

19

Seggers

J

,

Schendelaar

P

,

Bos

AF

et al.

Increased time to pregnancy is associated with suboptimal neurological condition of 2-year-olds

.

Arch Dis Child Fetal Neonatal Ed

2013

;

98

:

F434

36

.

20

Schendelaar

P

,

Van den Heuvel

ER

,

Heineman

MJ

et al.

Increased time to pregnancy is associated with less optimal neurological condition in 4-year-old singletons, in vitro fertilization itself is not

.

Hum Reprod

2014

;

29

:

2773

86

.

21

Magnus

P

,

Birke

C

,

Vejrup

K

et al.

Cohort Profile Update: The Norwegian mother and child cohort study (MoBa)

.

Int J Epidemiol

2016

;

45

:

382

88

.

22

Richter

J

,

Janson

H.

A validation study of the Norwegian version of the ages and stages questionnaires

.

Acta Paediatr

2007

;

96

:

748

52

.

23

Norbury

CF

,

Nash

M

,

Baird

G

,

Bishop

D.

Using a parental checklist to identify diagnostic groups in children with communication impairment: a validation of the Children's Communication Checklist--2

.

Int J Lang Commun Disord

2004

;

39

:

345

64

.

24

Robins

DL

,

Fein

D

,

Barton

ML

,

Green

JA.

The Modified Checklist for Autism in Toddlers: an initial study investigating the early detection of autism and pervasive developmental disorders

.

J Autism Dev Disord

2001

;

31

:

131

44

.

25

Eaves

LC

,

Wingert

HD

,

Ho

HH

,

Mickelson

EC.

Screening for autism spectrum disorders with the social communication questionnaire

.

J Dev Behav Pediatr

2006

;

27

:

S95

103

.

26

Goodman

R.

The strengths and difficulties questionnaire: a research note

.

J Child Psychol Psychiatry

1997

;

38

:

581

86

.

27

Silva

RR

,

Alpert

M

,

Pouget

E

et al.

A rating scale for disruptive behavior disorders, based on the DSM-IV item pool

.

Psychiatr Q

2005

;

76

:

327

39

.

28

Bilenberg

N.

The Child Behavior Checklist (CBCL) and related material: standardization and validation in Danish population based and clinically based samples

.

Acta Psychiatr Scand Suppl

1999

;

398

:

2

52

.

29

Biele

G

,

Zeiner

P

,

Aase

H.

Convergent and discriminant validity of psychiatric symptoms reported in The Norwegian Mother and Child Cohort Study at age 3 years with independent clinical assessment in the Longitudinal ADHD Cohort Study

.

Nor J Epidemiol

2014

;

24

:

1

2

.

30

Lord

C

,

Charman

T

,

Havdahl

A

et al.

The Lancet Commission on the future of care and clinical research in autism

.

Lancet

2022

;

399

:

271

334

.

31

Stenberg

N

,

Bresnahan

M

,

Gunnes

N

et al.

Identifying children with autism spectrum disorder at 18 months in a general population sample

.

Paediatr Perinat Epidemiol

2014

;

28

:

255

62

.

32

Surén

P

,

Saasen-Havdahl

A

,

Bresnahan

M

et al.

Sensitivity and specificity of early screening for autism

.

BJPsych Open

2019

;

5

:

e41

.

33

Kittel-Schneider

S

,

Quednow

BB

,

Leutritz

AL

,

McNeill

RV

,

Reif

A.

Parental ADHD in pregnancy and the postpartum period: a systematic review

.

Neurosci Biobehav Rev

2021

;

124

:

63

77

.

34

Hart

R

,

Norman

RJ.

The longer-term health outcomes for children born as a result of IVF treatment. Part II: Mental health and development outcomes

.

Hum Reprod Update

2013

;

19

:

244

50

.

35

Middelburg

KJ

,

Haadsma

ML

,

Heineman

MJ

,

Bos

AF

,

Hadders-Algra

M.

Ovarian hyperstimulation and the in vitro fertilization procedure do not influence early neuromotor development; a history of subfertility does

.

Fertil Steril

2010

;

93

:

544

53

.

36

Basso

O

,

Baird

DD.

Infertility and preterm delivery, birthweight, and Caesarean section: a study within the Danish National Birth Cohort

.

Hum Reprod

2003

;

18

:

2478

84

.

37

Fernández de Gamarra-Oca

L

,

Ojeda

N

,

Gómez-Gastiasoro

A

et al.

Long-term neurodevelopmental outcomes after moderate and late preterm birth: a systematic review

.

J Pediatr

2021

;

237

:

168

76.e11

.

38

Graham

AM

,

Doyle

O

,

Tilden

EL

et al.

Effects of maternal psychological stress during pregnancy on offspring brain development: considering the role of inflammation and potential for preventive intervention

.

Biol Psychiatry Cogn Neurosci Neuroimaging

2021

;S2451-9022:

00287

-

1

.

39

Han

VX

,

Patel

S

,

Jones

HF

,

Dale

RC.

Maternal immune activation and neuroinflammation in human neurodevelopmental disorders

.

Nat Rev Neurol

2021

;

17

:

564

79

.

40

Kekäläinen

J.

Genetic incompatibility of the reproductive partners: an evolutionary perspective on infertility

.

Hum Reprod

2021

;

36

:

3028

35

.

© The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary data

Advertisement intended for healthcare professionals

Citations

Views

Altmetric

Metrics

Total Views 1,668

1,202 Pageviews

466 PDF Downloads

Since 5/1/2022

Month: Total Views:
May 2022 268
June 2022 120
July 2022 45
August 2022 39
September 2022 41
October 2022 183
November 2022 113
December 2022 47
January 2023 70
February 2023 57
March 2023 71
April 2023 48
May 2023 40
June 2023 29
July 2023 22
August 2023 37
September 2023 23
October 2023 15
November 2023 21
December 2023 49
January 2024 32
February 2024 51
March 2024 46
April 2024 37
May 2024 21
June 2024 28
July 2024 43
August 2024 19
September 2024 40
October 2024 13

Citations

1 Web of Science

×

Email alerts

Citing articles via

More from Oxford Academic

Advertisement intended for healthcare professionals