Evidence map›Paper›PMID 37407910›Full record

ArticleBMC public health2023

Risk factors for newly-developed cardiovascular disease and quality of life during the COVID - 19 pandemic: an analysis of the English longitudinal study of ageing.

Mubarak Patel, Olalekan Uthman

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 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

2 authors at 1 institution in 1 country.

Mubarak PatelWarwick Evidence, Warwick Medical School (WMS), University of Warwick, Coventry, CV47AL, UK. Mubarak.patel@warwick.ac.uk.
Olalekan UthmanWarwick Medical School (WMS), University of Warwick, Coventry, CV47AL, UK.
University of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic had a wide range of effects on the English population, including on health and quality of life due to the subsequent lockdown restrictions set.

aimsTo investigate longitudinal changes in developing cardiovascular disease (CVD) and how that affects quality of life from pre-pandemic and during two lockdowns in England, in adults aged 50 years and above, and what factors are associated with this.

methodsWave 9 of the core English Longitudinal Study of Ageing (ELSA) and Waves 1 and 2 of the ELSA COVID-19 sub-study were used to investigate the factors associated with developing CVD between timepoints, and what factors alongside CVD are associated with quality of life.

resultsHigher age and depression were associated with newly-developed CVD from pre-COVID to both COVID sub-study waves. Additionally, body mass index (BMI) increased odds of CVD and physical activity decreased odds. Non-White ethnicity, depression, females, and developing CVD were lower associated with quality of life. Decreased age and increased physical activity were associated with higher quality of life. DISCUSSION: Ethnicity was not associated with newly-developed CVD but was associated with quality of life. Other factors of importance include age, depression, gender, and physical activity. Findings are informative for future risk stratification and treatment strategies, especially while the COVID-19 pandemic is ongoing.

Indexed as

Cardiovascular DiseasesCOVID-19AgingCommunicable Disease ControlFemaleHumansLongitudinal StudiesMaleMiddle AgedPandemicsQuality of LifeRisk FactorsHeart diseaseLockdownPandemicRisk predictionWellbeing

Identifiers

PMID37407910
PMCPMC10320953
OpenAlexW4383224507

What OpenQuestion holds

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LicenceCC BY
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.