Table · dataset · 2026
<p>Summary of key outcomes and study findings.</p>
Listed in ZivaHub and HKU DataHub and DaYta Ya Rona and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.1371/journal.pone.0356305.t002
<div> <p>Background</p><p>The prevalence of vaping, defined as the use of e-cigarettes, during pregnancy is increasing, but its effects on maternal, fetal, and infant health remain incompletely understood.
Description
Human studies are heterogeneous and largely observational with a primary focus on neonatal and infant outcomes and limited assessment of maternal physiology. In contrast, pre-clinical animal studies suggest potential biological effects across maternal vascular, respiratory, metabolic, and neurodevelopmental systems.
A comprehensive mapping of the existing evidence is therefore needed to characterise the scope of research to date and identify key gaps in the literature.</p> <p>Objective</p><p>To map the extent, range, and nature of human and animal studies examining the effects of vaping during pregnancy on maternal, fetal, and infant health outcomes, and to describe key methodological features and gaps to inform future research.</p> <p>Materials and methods</p><p>A scoping review was conducted following Joanna Briggs Institute methodology and PRISMA-ScR guidelines.
Read the rest (6 more)
Electronic database searches for human and animal studies examining the effects of vaping during pregnancy were conducted in MEDLINE, EMBASE, CINAHL, CENTRAL, PsycInfo, and grey literature, which were completed September 10th, 2025. Data were extracted on study design, population, exposure definitions, outcome domains, and use of biochemical exposure validation. No formal risk-of-bias assessment was undertaken, consistent with scoping review methodology, instead study characteristics were mapped descriptively.</p> <p>Results</p><p>64 studies were included (34 animal, 30 human).
Human studies were predominantly observational and varied in design. Most relied on retrospective self-report without biochemical validation, potentially contributing to contradictory findings. Outcomes were focused mainly on perinatal measures, with maternal outcomes limited to breastfeeding, postpartum depression, and gestational weight gain, and little or no assessment of maternal physiological outcomes such as vascular or autonomic function.
In contrast, animal studies frequently investigated mechanistic outcomes, suggesting potential biological effects across multiple systems including metabolic, respiratory, neurobehavioural, and cardiovascular impairment, with greater severity in nicotine-exposed groups. However, exposure paradigms and species differences limit direct translation to human pregnancy.</p> <p>Conclusion</p><p>The existing evidence base on vaping in pregnancy is characterised by substantial heterogeneity and notable gaps.
In particular, there is a lack of prospective human studies incorporating objective exposure assessment and mechanistic maternal outcomes. Comparative analyses frequently evaluated vaping relative to combustible cigarette smoking. However, substantial variability in exposure classification, comparator groups, and adjustment for confounding limits interpretability.
Animal studies more thoroughly examine mechanistic pathways and multiple organ systems. However physiological differences and unrealistic exposure models limit generalisability to human pregnancy. Overall, the current literature is insufficient to draw firm conclusions regarding risk.
These findings highlight priorities for future research to strengthen the evidence base and improve understanding of the biological effects of vaping during pregnancy.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0356305.t002 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Social Science · Social Science · Social Science · Social Science
Provenance · 6 source records, 64 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34025649 | 11 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34025649 | 11 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34025649 | 11 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34025649 | 11 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34025649 | 10 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34025649 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:440710 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:group:3101 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |