Evidence map›Paper›PMID 37966544›Full record

ArticleEuropean journal of epidemiology2023

State-level economic uncertainty and cardiovascular disease deaths: evidence from the United States.

Ilias Kyriopoulos, Sotiris Vandoros, Ichiro Kawachi

Abstract read
In one paragraph

Article in European journal of epidemiology, 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
–field-weighted citation impact
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.

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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

3 authors.

Ilias KyriopoulosDepartment of Health Policy, The London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK. i.kyriopoulos@lse.ac.uk.ORCID http://orcid.org/0000-0002-3932-8228
Sotiris VandorosUCL Global Business School for Health, University College London, London, UK.
Ichiro KawachiHarvard T.H. Chan School of Public Health, Harvard University, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between economic recessions and cardiovascular mortality has been widely explored. However, there is limited evidence on whether economic uncertainty alone is linked to cardiovascular disease deaths. This study examines the association between economic uncertainty and mortality from diseases of the circulatory system in the United States. We obtained monthly state-level mortality data from 2008 to 2017 and used indices capturing economic uncertainty from national/international sources and local sources. Panel data modelling was used to account for unobserved time-invariant differences between the states. Our findings suggest that economic uncertainty is independently linked to cardiovascular mortality. Uncertainty arising from national/international sources is associated with cardiovascular deaths, whereas the respective index capturing uncertainty from state/local sources is not. Deaths respond asymmetrically with respect to uncertainty fluctuations - with high levels of uncertainty driving the association. One- and two-month lagged uncertainty levels are also associated with mortality. Several robustness checks further validate the baseline findings. Overall, economic uncertainty is an independent predictor of cardiovascular mortality which appears to act as a psychosocial stressor and a short-term trigger. Public health strategies for cardiovascular disease need to consider factors driving economic uncertainty. Preventive measures and raising awareness can intensify in periods of economic uncertainty.

Indexed as

Cardiovascular DiseasesEconomic RecessionHumansUncertaintyUnited StatesCardiovascular DiseaseEconomic conditionsEconomic uncertaintyUnited States

Identifiers

PMID37966544
PMCPMC10663230

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Registered trials

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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.