Adverse childhood experiences contribute to blood pressure changes in adulthood: a meta-analysis of over 750 000 adults.
Bibliographic record
Abstract
Background: Adverse childhood experiences (ACE) have been linked to various negative health outcomes in adulthood. However, their relationship with blood pressure remains inconclusive. We aimed to conduct a systematic review and meta-analysis to investigate this association. Methods: We conducted a comprehensive search of PubMed, Cochrane Library, Scopus, Web of Science, China National Knowledge Infrastructure, Wanfang Data, and VIP from the databases' inception until 1 July 2023. We assessed the quality of included cross-sectional and cohort studies using the Agency of Healthcare Research and Quality and Newcastle-Ottawa Scale criteria. We analysed the combined effect size for the diagnosis of hypertension and changes in systolic blood pressure and diastolic blood pressure from the included studies further explored these results based on geographical and age subgroups. Results: We included a total of 19 cohort and 23 cross-sectional studies, comprising 754 146 participants and investigating 24 types of ACE. In addition to parental divorce or separation and group violence, exposure to domestic violence, physical neglect, and physical abuse were associated with an increased risk of hypertension, with the risk increasing with the number of exposures. This association was prominent in Europe and North America and in adults. However, the relationship varied among Asian populations and minors due to the type and degree of ACE. Conclusions: Our results provide evidence supporting the association between ACE and elevated blood pressure, suggesting that ACE may contribute to the development of hypertension in adulthood. Future studies should explore potential gender differences in this association. Registration: PROSPERO: CRD42023442287.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.039 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".