Evidence map›Paper›PMID 36299252›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2022

Employment Characteristics and Risk of Hospitalization Among Older Adults Participating in the Mayo Clinic Biobank.

Paul Y Takahashi, Euijung Ryu, Gregory D Jenkins, Kathleen J Yost, Christine R Kirt, Nicole L Larson, Ruchi Gupta, James R Cerhan, Janet E Olson

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 2 institutions in 1 country.

Paul Y TakahashiDivision of Community Internal Medicine, Mayo Clinic, Rochester, MN.
Euijung RyuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Gregory D JenkinsDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Kathleen J YostDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Christine R KirtDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Nicole L LarsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Ruchi GuptaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
James R CerhanDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Janet E OlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Mayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

Objective: To determine the relationship between characteristics of employment and future hospitalization in older adults. Patients and Methods: We conducted a survey of adults aged 65 years or older participating in the Mayo Clinic Biobank. Using a frequency-matched, case-control design, we compared patients who were hospitalized within 5 years of biobank enrollment (cases) with those who were not hospitalized (controls). We assessed the duration of work, age at first job, number of jobs, disability, retirement, and reasons for leaving work. We performed logistic regression analysis to assess the association of these factors with hospitalization, accounting for age, sex, comorbid conditions, and education level. Results: Among 3536 participants (1600 cases and 1936 controls; median age, 68.5 years; interquartile range, 63.4-73.9 years), cases were older, more likely to be male, and had lower education levels. Comorbid illnesses had the largest association with hospitalization (odds ratio [OR], 4.09; 95% CI, 3.37-4.97 [highest vs lowest quartile]). On adjusted analyses, odds of hospitalization increased with the presence of disability (OR, 1.31; 95% CI, 1.01-1.69) and decreased with having 1 or 2 lifetime jobs vs no employment (OR, 0.77; 95% CI, 0.60-1.00). The length of work, furlough, age of retirement, childcare issues, and reasons for leaving a job were not associated with hospitalization. Conclusion: This study reports an association between disability during work and hospitalization. On the basis of our findings, it may be important to obtain a more detailed work history from patients because it may provide further insight into their future health.

Indexed as

ADI, area deprivation indexIQR, interquartile rangeMCB, Mayo Clinic BiobankOR, odds ratioREP, Rochester Epidemiology ProjectSES, socioeconomic status

Identifiers

PMID36299252
PMCPMC9588999
OpenAlexW4306856278

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.