Evidence map›Paper›PMID 40354632›Full record

ArticleJMIR formative research2025

Prevalence of Multiple Chronic Conditions Among Adults in the

Xintong Li, Caitlin Dreisbach, Carolina M Gustafson, Komal Patel Murali, Theresa A Koleck

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

5 authors.

Xintong Li *Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY, 14627, United States.ORCID 0009-0006-7859-4998
Caitlin Dreisbach *Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY, 14627, United States.ORCID 0000-0003-3964-3161
Carolina M Gustafson *School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0001-7239-967X
Komal Patel Murali *Rory Meyers College of Nursing, New York University, New York, NY, United States.ORCID 0000-0003-2659-8795
Theresa A Koleck *School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-2944-9034

Funding

Pyxis Partners, LLC proposal for: All of Us Research Program Engagement and Retention Innovators (OT2)OT2OD028404 · OD · PYXIS PARTNERS LLC · PI TEPP, RONNIE · 2019 to 2023
$71.3M
Technology Research in Chronic & Critical IllnessT32NR008857 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Young Ji Lee · 2005 to 2026
$4.0M
Advancing Chronic Condition Symptom Cluster Science Through Use of Electronic Health Records and Data Science TechniquesR00NR017651 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOLECK, THERESA ANN · 2020 to 2022
$722k
Neural Network Approach to Estimate Fetal Weight in the Late Third Trimester of PregnancyK01NR020504 · NINR · UNIVERSITY OF ROCHESTER · PI DREISBACH, CAITLIN · 2022 to 2024
$476k
NIH HHS OT2 OD028404NINR NIH HHS K01 NR020504NINR NIH HHS R00 NR017651NINR NIH HHS T32 NR008857
6 · The paper itself

Abstract

Background: The growing prevalence of multiple chronic conditions (MCC) has significant impacts on health care systems and quality of life. Understanding the prevalence of MCC throughout adulthood offers valuable insights into the evolving burden of chronic diseases and provides strategies for more effective health care outcomes. Objective: This study estimated the prevalence and combinations of MCC among adult participants enrolled in the All of Us (AoU) Research Program, especially studying the variations across age categories. Methods: We conducted an exploratory analysis using electronic health record (EHR) data from adult participants (N=242,828) in the version 7 Controlled Tier AoU Research Program data release. Data analysis was conducted using Python in a Jupyter notebook environment within the AoU Researcher Workbench. Descriptive statistics included condition frequencies, the number of chronic conditions per participant, and prevalence according to age categories. The presence of a chronic condition was determined by documentation of one or more ICD-10 (International Statistical Classification of Diseases, Tenth Revision) codes for the respective condition. Age categories were established and aligned with diagnosis dates and stages of adulthood (early adulthood: 18-39 years; middle adulthood: 40-49 years; late middle adulthood: 50-64 years; late adulthood: 65-74 years; advanced old age: 75-89 years). Results: Our findings demonstrated that approximately 76% (n=183,753) of AoU participants were diagnosed with MCC, with over 40% (n=98,885) having 6 or more conditions and prevalence increasing with age (from 33.78% in early adulthood to 68.04% in advanced old age). The most frequently occurring MCC combinations varied by age category. Participants aged 18-39 years primarily presented mental health-related MCC combinations (eg, anxiety and depressive disorders; n=845), whereas those aged 40-64 years frequently had combinations of physical conditions such as fibromyalgia, chronic pain, fatigue, and arthritis (204 in middle adulthood and 457 in late middle adulthood). In late adulthood and advanced old age, hyperlipidemia and hypertension were the most commonly occurring MCC combinations (n=200 and n=59, respectively). Conclusions: We report notable prevalence of MCC throughout adulthood and variability in MCC combinations by age category in AoU participants. The significant prevalence of MCC underscores a considerable public health challenge, revealed by distinct condition combinations that shift across different life stages. Early adulthood is characterized predominantly by mental health conditions, transitioning to cardiometabolic and physical health conditions in middle, late, and advanced ages. These findings highlight the need for targeted, innovative care modalities and population health initiatives to address the burden of MCC throughout adulthood.

Indexed as

Multiple Chronic ConditionsAdolescentAdultAgedAged, 80 and overChronic DiseaseElectronic Health RecordsFemaleHumansMaleMiddle AgedPrevalenceUnited StatesYoung Adultelectronic health recordsmultiple chronic conditionsprevalencesecondary data analysisUnited States

Identifiers

PMID40354632
PMCPMC12088611

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.