Evidence map›Paper›PMID 37603333›Full record

ArticleJAMA network open2023

Association of Sustained Low or High Income and Income Changes With Risk of Incident Type 2 Diabetes Among Individuals Aged 30 to 64 Years.

Jimin Clara Park, Ga Eun Nam, Jinna Yu, Ketrell L McWhorter, Junxiu Liu, Hong Seok Lee, Seong-Su Lee, Kyungdo Han

Open access · goldAbstract 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Dynamic income patterns and risk of pancreatic and biliary tract cancers: A nationwide cohort study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
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  15. Social determinants of health and type 2 diabetes in Asia.Journal of diabetes investigation · 2025
    Review
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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

8 authors at 7 institutions in 2 countries.

Jimin Clara ParkEpiscopal Collegiate School, Little Rock, Arkansas.
Ga Eun NamDepartment of Family Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Jinna YuDepartment of Nursing, Chung-Ang University, Seoul, South Korea.
Ketrell L McWhorterDepartment of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington.
Junxiu LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Hong Seok LeeDivision of Cardiology, Banner University Medical Group, Sarver Heart Center, University of Arizona, Tucson.
Seong-Su LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea.
Banner - University Medical Center Tucson · USCatholic University of Korea · KRChung-Ang University · KRIcahn School of Medicine at Mount Sinai · USKorea University Medical Center · KRSoongsil University · KRUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Evidence of the association between income fluctuation and risk of type 2 diabetes (T2D) is scarce. Objective: To investigate whether sustained low or high income and income changes are associated with incidence of T2D. Design, Setting, and Participants: In this population-based cohort study, more than 7.8 million adults without T2D aged 30 to 64 years from a nationally representative sample from the Korean Health Insurance Service database were enrolled in 2012 and followed up to 2019 (median follow-up, 6.3 years [IQR, 6.1-6.6 years]). Exposures: Twenty quantiles of monthly health insurance premiums determined income levels. Income quartiles were annually analyzed from 2008 to 2012. Beneficiaries of the Medical Aid Program were regarded as those with very low income. A decrease in income was indicated as a reduction of 25% or more in income compared with income in the previous year. Main Outcomes and Measures: The primary outcome was incident T2D based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes E11 to E14, 1 or more claims of antidiabetic medication, or a fasting glucose level of 126 mg/dL or higher. Multivariable Cox proportional hazards models were used to assess the association of low- or high-income status and income changes with incidence of T2D. Results: Of 7 821 227 participants (mean [SD] age, 46.4 [9.3] years; 54.9% men), 359 931 (4.6%) developed T2D at least 1 year after enrollment. Individuals who repeatedly experienced low and very low income for 5 years showed 22% (hazard ratio [HR], 1.22 [95% CI, 1.21-1.23]) and 57% (1.57 [95% CI, 1.53-1.62]) higher T2D risk compared with those who never experienced low and very low income, respectively. In contrast, individuals who were repeatedly in high-income quartiles showed lower T2D risk compared with those who never experienced high income (HR, 0.86 [95% CI, 0.85-0.86]). The number of income decreases was associated with elevated T2D risk (≥2 vs 0 income decreases: HR, 1.08 [95% CI, 1.06-1.11]; P < .001 for trend). When income quartile status was compared between 2008 and 2012, individuals who experienced an income increase had lowered T2D risk, while those who experienced an income decrease had elevated T2D risk in each income quartile group. Conclusions and Relevance: This cohort study found that individuals who experienced sustained low-income status or an income decrease had elevated T2D risk, while those who had sustained high-income status or an income increase had lowered T2D risk.

Indexed as

Diabetes Mellitus, Type 2AdultCohort StudiesFemaleHumansIncomeMaleMiddle AgedPovertySocioeconomic Factors

Identifiers

PMID37603333
PMCPMC10442710
OpenAlexW4386019220

What OpenQuestion holds

Textmetadata
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.