Evidence map›Paper›PMID 32486880›Full record

ArticleJournal of the American Heart Association2020

Temporal Trends and Familial Clustering of Ideal Cardiovascular Health in Parents and Offspring Over the Life Course: An Investigation Using The Framingham Heart Study.

James M Muchira, Philimon N Gona, Mulubrhan F Mogos, Eileen Stuart-Shor, Suzanne G Leveille, Mariann R Piano, Laura L Hayman

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

James M MuchiraCenter for Research Development and Scholarship Vanderbilt University, School of Nursing Nashville TN.
Philimon N GonaCollege of Nursing and Health Sciences University of Massachusetts Boston Boston MA.
Mulubrhan F MogosCenter for Research Development and Scholarship Vanderbilt University, School of Nursing Nashville TN.
Eileen Stuart-ShorCollege of Nursing and Health Sciences University of Massachusetts Boston Boston MA.
Suzanne G LeveilleCollege of Nursing and Health Sciences University of Massachusetts Boston Boston MA.
Mariann R PianoCenter for Research Development and Scholarship Vanderbilt University, School of Nursing Nashville TN.
Laura L HaymanCollege of Nursing and Health Sciences University of Massachusetts Boston Boston MA.
Vanderbilt University · USBeth Israel Deaconess Medical Center · USUniversity of Massachusetts Boston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Evidence suggests familial aggregation and intergenerational associations for individual cardiovascular health (CVH) metrics. Over a 53-year life course, we examined trends and association of CVH between parents and their offspring at similar mean ages. Methods and Results We conducted a series of cross-sectional analyses of the FHS (Framingham Heart Study). Parent-offspring pairs were assessed at exams where their mean age distributions were similar. Ideal CVH was defined using 5 CVH metrics: blood pressure (<120/<80 mm Hg), fasting blood glucose (<100 mg/dL), blood cholesterol (<200 mg/dL), body mass index (<25 kg/m

Indexed as

Adult ChildrenHealth StatusParentsAdultBiomarkersBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolCluster AnalysisCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleBiomarkersBlood GlucoseCholesterolfamilial clusteringideal cardiovascular healthoffspringparentstrends

Identifiers

PMID32486880
PMCPMC7429037
OpenAlexW3029882849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.