ArticleAmerican journal of hypertension2012
Birth measurements, family history, and environmental factors associated with later-life hypertensive status.
Article in American journal of hypertension, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 11 citations in OpenAlex.
- Association of low-protein supplemented diets with fetal growth in pregnant women with CKD.Clinical journal of the American Society of Nephrology : CJASN · 2014Article
- How the kidney is impacted by the perinatal maternal environment to develop hypertension.Biology of reproduction · 2013Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis birth cohort study was conducted to investigate the contribution of prenatal and antenatal environmental exposures to later-life hypertensive status.
methodsTwo thousand five hundred and three individuals born in 1921-1954 at the Peking Union Medical College Hospital (PUMCH) were targeted; 2,081 (83.1%) participated. Clinical examinations included an interview, blood pressure (BP) measurements, and laboratory assays. Statistical analyses were performed using ordinal regression models with later-life hypertensive status as the dependent variable. Similar analyses were for subpopulations divided by family history of hypertension.
resultsIn the 2,081 subjects, 449 were normotensive, 531 were prehypertensive, and 1,101 had hypertension. Three hundred and forty two hypertensive patients were classified as high-risk (BP ≥180/110 mm Hg, or accompanied with diabetes or three well-established cardiovascular risk factors); the other 759 patients were at mid-to-low risks. Lower birth weight (<2,500 g: odds ratio (OR) = 1.67, P = 0.02; 2,500- <3,000 g: OR = 1.64, P < 0.01; 3,000- <3,500 g, OR = 1.40, P = 0.01), family history of hypertension (OR = 1.73, P < 0.01), poor education (OR = 1.76, P < 0.01), and alcoholism (OR = 3.05, P < 0.01) significantly predicted later-life high-risk hypertension. For participants with hypertensive family history (57.7%), the association with birth weight became nonsignificant, but poor education (OR = 2.33, P < 0.01) and alcoholism (OR = 3.10, P = 0.01) remained important. For participants without hypertensive family history (42.3%), the effects of lower birth weight (<2,500 g: OR = 2.26, P = 0.02; 2,500- <3,000 g: OR = 1.91, P = 0.01; 3,000- <3,500 g, OR = 1.78, P = 0.01) and alcoholism (OR = 3.23, P < 0.01) remained significant.
conclusionLow birth weight, low education, alcoholism, and hypertensive family history are linked to later-life hypertensive status. Low birth weight is also partly associated with one's genetic background; whereas the association with education and alcoholism are independent from hypertensive family history.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.