Evidence map›Paper›PMID 40050557›Full record

ArticleJournal of general internal medicine2026

Predictors and Consequences of Poor Health Trajectories Among US Adults Ages 50-64: A Latent Class Growth Analysis.

Renuka Tipirneni, Monita Karmakar, John Z Ayanian, Kara Zivin, Donovan T Maust, Kenneth M Langa

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Renuka TipirneniDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA. rtipirne@med.umich.edu.ORCID 0000-0002-0610-9707
Monita KarmakarDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
John Z AyanianDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Kara ZivinInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Donovan T MaustInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Kenneth M LangaDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Improving the Health of Low-SES Americans Approaching Retirement Under the Affordable Care ActK08AG056591 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TIPIRNENI, RENUKA · 2017 to 2021
$836k
HSRD VA IK6 HX003397NIA NIH HHS K08AG056591NIA NIH HHS P30 AG024824NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundUS middle-aged adults have experienced concerning declines in health and life expectancy since 2010.

objectiveTo investigate which groups of middle-aged adults are at risk of poor health trajectories, identify predictors of unhealthy aging, and assess potential consequences on health care utilization, costs, and mortality after these adults age into older adulthood.

designWe used longitudinal survey data from the nationally representative, biennial Health and Retirement Study (HRS) to follow a representative sample of adults age 51 and older.

participantsA total of 12,333 US community-dwelling respondents. MAIN MEASURES: We estimated health trajectories from biennial self-reported health status and limitations in activities of daily living and instrumental activities of daily living. Predictors of health trajectories included sociodemographic, clinical, and health care characteristics. Consequences of poor health trajectories after age 65 included self-reported hospitalizations, out-of-pocket medical costs, and mortality. KEY

resultsWe identified four distinct trajectories: "Healthy Agers" (14.2%), "Less Healthy Agers" (40.7%), "Unhealthy Agers, Low Baseline" (31.0%), and "Persistently Ill" (14.1%). Predictors of the "Persistently Ill" and "Unhealthy Agers, Low Baseline" trajectories included male gender, non-Hispanic Black race, and Hispanic ethnicity. Predictors of less healthy and unhealthy aging trajectories included ≤ high school education, income ≤ 250% of federal poverty level, smoking, obesity, and chronic diseases including diabetes, whereas continuous insurance coverage in ages 50-64, compared with intermittent or no insurance, was associated with lower odds of less healthy and unhealthy aging trajectories. After age 65, less healthy and unhealthy aging trajectories were associated with greater hospitalizations, out-of-pocket costs, and mortality compared with "Healthy Agers."

conclusionThe findings suggest that unhealthy aging trajectories may frequently be set prior to age 50. Policy interventions earlier in life, such as availability of consistent health insurance coverage in early and mid-life, may mitigate downstream poor health and health care outcomes in older adulthood.

Indexed as

AgingHealth StatusLatent Class AnalysisActivities of Daily LivingAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited States

Identifiers

PMID40050557
PMCPMC12855676

What Socratic holds

Textmetadata
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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.