Evidence map›Paper›PMID 39417108›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Diabetes and all-cause mortality among middle-aged and older adults in China, England, Mexico, rural South Africa, and the United States: A population-based study of longitudinal aging cohorts.

Hunter Green, Yuan S Zhang, Chihua Li, Paola Zaninotto, Kenneth M Langa, Jinkook Lee, Jennifer Manne-Goehler, David Flood

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hunter GreenCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Yuan S ZhangDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York City, New York, USA.
Chihua LiInstitute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
Paola ZaninottoDepartment of Epidemiology and Public Health, University College London, London, UK.
Kenneth M LangaSurvey Research Center, University of Michigan Institute for Social Research, Ann Arbor, Michigan, USA.
Jinkook LeeCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, USA.
David FloodDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-4372-7387

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
Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LISA F BERKMAN · 2013 to 2026
$37.3M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Implementation research for comprehensive cardiometabolic care in GuatemalaK23HL161271 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Clifford Flood · 2022 to 2026
$949k
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingR00AG070274 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, YUAN S · 2023 to 2025
$721k
NHLBI NIH HHS K23 HL161271NIA NIH HHS P01 AG041710NIA NIH HHS P30 AG024824NIA NIH HHS R00 AG070274NIA NIH HHS R01 AG017644NIA NIH HHS R01 AG030153NIA NIH HHS U01 AG009740NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Objective: There is a need for comparable worldwide data on the impact of diabetes on mortality. This study assessed diabetes and all-cause mortality among middle-aged and older adults in five countries. Research Design and Methods: We analyzed adults aged 51 years or older followed between 2010 and 2020 from population-based cohorts in China, England, Mexico, rural South Africa, and the United States. Diabetes was defined by self-report or an elevated diabetes blood-based biomarker meeting the clinical criteria for diabetes. All-cause mortality was assessed through linkages or informant interviews. We used Poisson regression models to estimate mortality rate ratios and mortality rate differences, comparing people with diabetes to those without diabetes. Models were adjusted for age, gender, education, smoking status, body mass index, and economic status. Results: We included 29,397 individuals, of whom 4,916 (16.7%) died during the study period. The median follow-up time ranged from 4.6 years in South Africa to 8.3 years in China. The adjusted all-cause mortality rate ratios for people with diabetes versus those without diabetes ranged from 1.53 (95% CI: 1.39-1.68) in the United States to 2.02 (95% CI: 1.34-3.06) in Mexico. The adjusted mortality rate differences (per 1,000 person-years) for people with diabetes versus those without diabetes ranged from 11.9 (95% CI: 4.8-18.9) in England to 24.6 (95% CI: 12.2-37.0) in South Africa. Conclusions: Diabetes was associated with increased all-cause mortality in population-based cohorts across five diverse countries. There is an urgent need to implement clinical and public health interventions to improve diabetes outcomes globally.

Indexed as

cross-country comparisonsdiabetes epidemiologydiabetes mortalityglobal diabetes

Identifiers

PMID39417108
PMCPMC11483016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.