Table 4. External paternal factors and pregnancy outcomes.
| Citation | Study design | Subject | Exposure | Long-term reproductive outcome | OR (95% CI), p-value, overall trend | Key finding | |
|---|---|---|---|---|---|---|---|
| Magnus et al (2019) [55] | Cohort | 1,381 cases and 618,322 controls | Smoking | Diabetes | HR 0.97 (0.82–1.2) | No association between paternal or second-hand smoking during pregnancy with childhood-onset type I diabetes. | |
| Mejia-Lancheros et al (2018) [56] | Cohort | 1,021 newborns | Smoking | Overweight/obesity | aOR 1.76 (1.14–2.71) | After adjustment, positive correlation between paternal smoking and offspring's overweight/obesity at 5- and 9-years follow-up. | |
| p<0.01 | |||||||
| Accordini et al (2018) [54] | Cohort | 1,964 males | Smoking | Asthma | RR 1.43 (1.01–2.01) | Fathers' smoking starting in early adolescence may independently increase asthma risk without allergies in offspring. | |
| Alati et al (2013) [10] | Cohort | 7,062 males | Alcohol | Cognitive development | KS2 score 0.27 (0.07–0.46) | No strong evidence of intrauterine mechanisms linking paternal alcohol use with offspring cognitive development expressed in mean change of KS2 scoresa. | |
| Karalexi et al (2017) [57] | Meta-analysis | 39 studies | Alcohol | Leukemia (any type) | OR 1.05 (0.91–1.22) | No association between paternal preconceptional alcohol consumption and risk of any type of leukemia cancer at 0–14 age. | |
| p=0.931 | |||||||
| Acute lymphoblastic leukemia | OR 1.10 (0.93–1.30) | ||||||
| p=0.361 | |||||||
| Acute myeloid leukemia | OR 1.23 (0.83–1.82) | ||||||
| p=0.489 | |||||||
| Lindblad et al (2011) [59] | Cohort | 7,960 cases and 1,154,564 controls | Addictive drugs disorder | ADHD | Parental addiction to illicit drugs is associated with the highest OR for ADHD medication to treat the offspring. | ||
| Boys | OR 3.7 (3.4–4.2) | ||||||
| Girls | OR 4.6 (3.5–5.9) | ||||||
| Fang et al (2018) [58] | Cohort | 3,210 infants | Opioids | Premature death | aHR 4.79 (1.16–19.79) | The risk of premature death (0–6 years) increases 2.5–5.2 times in relation to the severity of paternal opioid use. | |
| p<0.05 | |||||||
| Sallmén et al (2016) [62] | Cohort | 11,863 cases and 23,720 controls | Lead blood level (μmol/L) | Schizophrenia, spectrum disorder | Paternal occupational exposure to lead does not increase risk for schizophrenia in the offspring no matter the metal blood level. | ||
| <0.5 | aHR 0.97 (0.52–1.83) | ||||||
| 0.5–0.9 | aHR 1.25 (0.85–1.82) | ||||||
| 1.0–1.4 | aHR 0.90 (0.54–1.49) | ||||||
| ≥1.5 μmol/L | aHR 1.38 (0.65–2.92) | ||||||
| Nieuwenhuijsen et al (2013) [60] | Meta-analysis | 3 studies | Solvents | Anencephaly | OR pooled 2.18 (1.52–3.11) | Evidence for association between paternal solvents exposure and child NTDs or anencephaly. No causative role of pesticides for hypospadias. | |
| NTDs | OR pooled 1.86 (1.40–2.46) | ||||||
| Spina bifida | OR pooled 1.59 (0.99–2.56) | ||||||
| Pesticides | Hypospadias | RR 1.19 (1.00–1.41) | |||||
| Jørgensen et al (2014) [63] | Cohort | 600,000 births | Pesticides | Cryptorchidism | aHR 1.04 (0.96–1.12) | No increased risk of cryptorchidism after pesticide exposure. | |
| Messerlian et al (2018) [105] | Cohort | 346 singletons | Benzophenone-3 | Birthweight gain | 137 g (60–214 g) | For each log-unit increase of paternal preconception benzophenone-3 concentration in the urine, an average 137 g gain in birthweight is observed. | |
| Chen et al (2018) [61] | Cohort | 192,492 births | X-ray, CT, PET-CT, or other radionuclide imaging radiation | LBW | p<0.05 | PTB and LBW are both associated with pregestational paternal radiations exposure for medical imaging purposes. | |
| PTB | p<0.01 | ||||||
OR: odds ratio, CI: confidence interval, HR: hazard ratio, aOR: adjusted odds ratio, RR: risk ratio, KS2: Key stage 2, ADHD: attention-deficit/hyperactivity disorder, aHR: adjusted hazard ratio, NTD: neural tube diseases, CT: computed tomography, PET: positron emission tomography, LBW: low birthweight, PTB: preterm birth.
aKey stage 2 scores are considered to be a ‘real world’ measure of academic performance.