| Literature DB >> 28978695 |
Elizabeth A DeVilbiss1, Cecilia Magnusson2, Renee M Gardner2, Dheeraj Rai3, Craig J Newschaffer1,4, Kristen Lyall4, Christina Dalman2, Brian K Lee1.
Abstract
Objective To determine whether nutritional supplementation during pregnancy is associated with a reduced risk of autism spectrum disorder (ASD) with and without intellectual disability in offspring.Design Observational prospective cohort study using multivariable logistic regression, sibling controls, and propensity score matching.Setting Stockholm County, Sweden.Participants 273 107 mother-child pairs identified through population registers. The study sample was restricted to children who were aged 4 to 15 years by the end of follow-up on 31 December 2011 and were born between 1996 and 2007.Exposures Multivitamin, iron, and folic acid supplement use was reported at the first antenatal visit.Main outcome measure Diagnosis of ASD with and without intellectual disability in children determined from register data up to 31 December 2011.Results Prevalence of ASD with intellectual disability was 0.26% (158 cases in 61 934) in the maternal multivitamin use group and 0.48% (430 cases in 90 480) in the no nutritional supplementation use group. Maternal multivitamin use with or without additional iron or folic acid, or both was associated with lower odds of ASD with intellectual disability in the child compared with mothers who did not use multivitamins, iron, and folic acid (odds ratio 0.69, 95% confidence interval 0.57 to 0.84). Similar estimates were found in propensity score matched (0.68, 0.54 to 0.86) and sibling control (0.77, 0.52 to 1.15) matched analyses, though the confidence interval for the latter association included 1.0 and was therefore not statistically significant. There was no consistent evidence that either iron or folic acid use were inversely associated with ASD prevalence.Conclusions Maternal multivitamin supplementation during pregnancy may be inversely associated with ASD with intellectual disability in offspring. Further scrutiny of maternal nutrition and its role in the cause of autism is recommended. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28978695 PMCID: PMC6168830 DOI: 10.1136/bmj.j4273
Source DB: PubMed Journal: BMJ ISSN: 0959-8138
Fig 1Derivation of study samples. ASD=autism spectrum disorder
Selected characteristics of Stockholm youth cohort study sample born between 1996 and 2007 by maternal supplement use. Values are numbers (percentages) unless stated otherwise
| Characteristics | Supplement | ||||
|---|---|---|---|---|---|
| Multivitamins (n=62 840) | Iron only (n=90 138) | Iron and folic acid (n=25 445) | Folic acid only (n=2789) | None (n=91 895) | |
| ASD | 1064 (1.7) | 1872 (2.1) | 516 (2.0) | 78 (2.8) | 2045 (2.2) |
| ASD with intellectual disability: | |||||
| Yes | 158 (0.3) | 422 (0.5) | 138 (0.5) | 15 (0.5) | 430 (0.5) |
| No | 906 (1.4) | 1450 (1.6) | 378 (1.5) | 63 (2.3) | 1615 (1.8) |
| Boys | 31 990 (50.9) | 45 933 (51.0) | 12 855 (50.5) | 1451 (52.0) | 47 683 (51.9) |
| Parity: | |||||
| 1 | 32 488 (51.7) | 38 780 (43.0) | 10 628 (41.8) | 1335 (47.9) | 41 679 (45.4) |
| 2 | 21 927 (34.9) | 33 258 (36.9) | 9161 (36.0) | 995 (35.7) | 33 509 (36.5) |
| ≥3 | 8425 (13.4) | 18 100 (20.1) | 5656 (22.2) | 459 (16.5) | 16 707 (18.2) |
| Maternal education: | |||||
| ≥12 years | 34 633 (55.1) | 36 613 (40.6) | 10 281 (40.4) | 1365 (48.9) | 43 019 (46.8) |
| Missing data | 242 (0.4) | 611 (0.7) | 258 (1.0) | 17 (0.6) | 499 (0.5) |
| Maternal country of origin, Sweden | 51 571 (82.1) | 62 296 (69.1) | 16 399 (64.5) | 2164 (77.6) | 70 698 (76.9) |
| Highest fifth of family income | 27 051 (43.1) | 25 012 (27.8) | 6978 (27.4) | 1078 (38.7) | 33 122 (36.0) |
| Mean (SD) maternal age (years) | 31.3 (4.7) | 30.2 (5.2) | 30.5 (5.3) | 31.4 (5.0) | 30.9 (5.0) |
| Maternal smoking: | |||||
| Yes | 3434 (5.5) | 8229 (9.1) | 2080 (8.2) | 200 (7.2) | 6523 (7.1) |
| No | 57 080 (90.8) | 78 636 (87.2) | 22 393 (88.0) | 2502 (89.7) | 55 576 (60.5) |
| Missing data | 2326 (3.7) | 3273 (3.6) | 972 (3.8) | 87 (3.1) | 29 796 (32.4) |
| Maternal body mass index (kg/m2): | |||||
| Underweight (<18.5) | 1715 (2.7) | 2435 (2.7) | 729 (2.9) | 49 (1.8) | 1503 (1.6) |
| Normal (18.5-24.9) | 40 593 (64.6) | 53 299 (59.1) | 14 960 (58.8) | 1655 (59.3) | 36 995 (40.3) |
| Overweight (25-29.9) | 10 287 (16.4) | 17 637 (19.6) | 5065 (19.9) | 526 (18.9) | 12 675 (13.8) |
| Obese (≥30) | 3207 (5.1) | 6131 (6.8) | 1884 (7.4) | 205 (7.4) | 4991 (5.4) |
| Missing data | 7038 (11.2) | 10 636 (11.8) | 2807 (11.0) | 354 (12.7) | 35 731 (38.9) |
| Maternal medication use: | |||||
| Antidepressant | 1017 (1.6) | 1368 (1.5) | 367 (1.4) | 38 (1.4) | 916 (1.0) |
| Antiepileptic | 118 (0.2) | 119 (0.1) | 215 (0.8) | 65 (2.3) | 125 (0.1) |
| Maternal neuropsychiatric conditions: | |||||
| Anxiety disorders | 870 (1.4) | 1209 (1.3) | 347 (1.4) | 35 (1.3) | 1176 (1.3) |
| Autism | 64 (0.1) | 127 (0.1) | 34 (0.1) | 5 (0.2) | 120 (0.1) |
| Bipolar disorder | 115 (0.2) | 159 (0.2) | 56 (0.2) | 9 (0.3) | 176 (0.2) |
| Depression | 2036 (3.2) | 2571 (2.9) | 695 (2.7) | 82 (2.9) | 2434 (2.7) |
| Epilepsy | 347 (0.6) | 391 (0.4) | 282 (1.1) | 69 (2.5) | 470 (0.5) |
| Intellectual disability | 19 (0.0) | 68 (0.1) | 20 (0.1) | 2 (0.1) | 67 (0.1) |
| Non-affective psychotic disorders | 140 (0.2) | 258 (0.3) | 83 (0.3) | 11 (0.4) | 281 (0.3) |
| Stress disorders | 1210 (1.9) | 1668 (1.9) | 475 (1.9) | 70 (2.5) | 1648 (1.8) |
Unadjusted and adjusted odds ratios (95% confidence intervals) for supplement use and autism spectrum disorder (ASD) with and without intellectual disability, and any ASD
| Sample | Sibling CLR* model | Propensity score OLR and GEE models† | Multivariable GEE‡ model | ||||
|---|---|---|---|---|---|---|---|
| Unadjusted | Adjusted§ | Matched | Unadjusted | Adjusted¶ | |||
| ASD with intellectual disability: | |||||||
| Multivitamin | 0.60 (0.42 to 0.86) | 0.77 (0.52 to 1.15) | 0.68 (0.54 to 0.86) | 0.54 (0.45 to 0.65) | 0.69 (0.57 to 0.84) | ||
| Iron | 0.84 (0.64 to 1.10) | 0.90 (0.67 to 1.21) | 0.96 (0.82 to 1.13) | 0.99 (0.87 to 1.14) | 0.95 (0.83 to 1.11) | ||
| Iron and folic acid | 0.81 (0.54 to 1.22) | 0.99 (0.63 to 1.57) | 1.06 (0.86 to 1.30) | 1.14 (0.93 to 1.38) | 1.03 (0.84 to 1.26) | ||
| Folic acid | 0.81 (0.28 to 2.36) | 0.94 (0.29 to 3.04) | 1.14 (0.64 to 2.04) | 1.16 (0.69 to 1.94) | 1.20 (0.71 to 2.01) | ||
| ASD without intellectual disability: | |||||||
| Multivitamin | 0.93 (0.79 to 1.10) | 1.00 (0.83 to 1.20) | 0.95 (0.85 to 1.06) | 0.82 (0.75 to 0.89) | 0.94 (0.85 to 1.03) | ||
| Iron | 0.93 (0.81 to 1.07) | 0.96 (0.81 to 1.12) | 0.95 (0.88 to 1.04) | 0.92 (0.85 to 0.98) | 0.96 (0.89 to 1.04) | ||
| Iron and folic acid | 0.91 (0.73 to 1.13) | 1.00 (0.78 to 1.29) | 0.84 (0.74 to 0.94) | 0.85 (0.76 to 0.95) | 0.89 (0.79 to 1.00) | ||
| Folic acid | 1.46 (0.87 to 2.45) | 1.70 (0.94 to 3.10) | 1.10 (0.83 to 1.48) | 1.30 (1.00 to 1.68) | 1.29 (0.99 to 1.67) | ||
| Any ASD: | |||||||
| Multivitamin | 0.86 (0.74 to 1.00) | 0.95 (0.81 to 1.13) | 0.86 (0.78 to 0.95) | 0.76 (0.71 to 0.82) | 0.89 (0.82 to 0.97) | ||
| Iron | 0.91 (0.80 to 1.03) | 0.95 (0.83 to 1.09) | 0.93 (0.87 to 1.01) | 0.93 (0.87 to 0.99) | 0.96 (0.90 to 1.03) | ||
| Iron and folic acid | 0.89 (0.73 to 1.07) | 1.01 (0.81 to 1.25) | 0.89 (0.81 to 0.99) | 0.91 (0.82 to 1.00) | 0.92 (0.83 to 1.02) | ||
| Folic acid | 1.30 (0.82 to 2.06) | 1.48 (0.87 to 2.51) | 1.17 (0.89 to 1.51) | 1.27 (1.01 to 1.60) | 1.27 (1.01 to 1.60) | ||
CLR=conditional logistic regression; OLR=ordinary logistic regression; GEE=generalised estimating equation logistic regression.
Analytic sample sizes are documented in supplemental eTable 1, ranging from 15 575 mothers and 16 086 children (folic acid use and ASD with intellectual disability propensity score analysis) to 178 083 mothers and 273 107 children (any ASD multivariable sample analyses). *Matched on birth mother. †Propensity scores were calculated with covariates (see ¶ below) as predictors of supplement use in ordinary logistic regression models (maternal age was a continuous covariate); in the matched sample, propensity scores were used as predictors of ASD in generalised estimating equation logistic regression models grouped by birth mother. ‡Grouped by birth mother. §Adjusted for child characteristics (sex and birth year) and parity. ¶Adjusted for child characteristics (sex, birth year, and years resided in Stockholm County), socioeconomic indicators (education, family income, and maternal birth country), maternal characteristics (age, body mass index, parity, smoking status), medication use during pregnancy (antidepressants or antiepileptics), and maternal neuropsychiatric conditions (anxiety disorders, autism, bipolar disorder, depression, epilepsy, intellectual disability, non-affective psychotic disorders, and stress disorders).