Evidence map›Paper›PMID 36912836›Full record

ArticleJAMA network open2023

Labor Income Losses Associated With Heart Disease and Stroke From the 2019 Panel Study of Income Dynamics.

Feijun Luo, Grace Chapel, Zhiqiu Ye, Sandra L Jackson, Kakoli Roy

Open access · goldFull text read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  8. The Effect of a Dietary Supplement Containing Rhamnan Sulfate fromIntegrative medicine (Encinitas, Calif.) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Feijun LuoDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Grace ChapelDepartment of Economics, Tulane University, New Orleans, Louisiana.
Zhiqiu YeCenter for Healthcare Delivery Science and Innovation, University of Chicago Medicine, Chicago, Illinois.
Sandra L JacksonDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Kakoli RoyOffice of the Director, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
National Center for Chronic Disease Prevention and Health Promotion · USOffice of the Director · USTulane University · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Current estimates of productivity losses associated with heart disease and stroke in the US include income losses from premature mortality but do not include income losses from morbidity. Objective: To estimate labor income losses associated with morbidity of heart disease and stroke in the US due to missed or lower labor force participation. Design, Setting, and Participants: This cross-sectional study used 2019 Panel Study of Income Dynamics data to estimate labor income losses associated with heart disease and stroke by comparing labor income between persons with and without heart disease or stroke, after controlling for sociodemographic characteristics and other chronic conditions and considering the situation of zero labor income (eg, withdrawal from the labor market). The study sample included individuals aged 18 to 64 years who were reference persons or spouses or partners. Data analysis was conducted from June 2021 to October 2022. Exposure: The key exposure was heart disease or stroke. Main Outcomes and Measures: The main outcome was labor income, measured for the year 2018. Covariates included sociodemographic characteristics and other chronic conditions. Labor income losses associated with heart disease and stroke were estimated using the 2-part model, in which part 1 is to model the probability that labor income is greater than zero and part 2 is to regress positive labor income, with both parts having the same set of explanatory variables. Results: In the study sample consisting of 12 166 individuals (6721 [52.4%] females) representing a weighted mean income of $48 299 (95% CI, $45 712-$50 885), the prevalence of heart disease was 3.7% and the prevalence of stroke was 1.7%, and there were 1610 Hispanic persons (17.3%), 220 non-Hispanic Asian or Pacific Islander persons (6.0%), 3963 non-Hispanic Black persons (11.0%), and 5688 non-Hispanic White persons (60.2%). The age distribution was largely even, from 21.9% for the age 25 to 34 years group to 25.8% for the age 55 to 64 years group, except for young adults (age 18-24 years), who made up 4.4% of the sample. After adjustment for sociodemographic characteristics and other chronic conditions, persons with heart disease would receive an estimated $13 463 (95% CI, $6993-$19 933) less in annual labor income than those without heart disease (P < .001), and persons with stroke would receive an estimated $18 716 (95% CI, $10 356-$27 077) less in annual labor income than those without stroke (P < .001). Total labor income losses associated with morbidity were estimated at $203.3 billion for heart disease and $63.6 billion for stroke. Conclusions and Relevance: These findings suggest that total labor income losses associated with morbidity of heart disease and stroke were far greater than those from premature mortality. Comprehensive estimation of total costs of CVD may assist decision-makers in assessing benefits from averted premature mortality and morbidity and allocating resources to the prevention, management, and control of CVD.

Indexed as

Heart DiseasesStrokeChronic DiseaseCross-Sectional StudiesFemaleHumansIncomeMaleYoung Adult

Identifiers

PMID36912836
PMCPMC10011934
OpenAlexW4324018400

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read106
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.