Evidence map›Paper›PMID 41384502›Full record

ArticleJournal of global health2025

Longitudinal insights into comorbidity patterns and burden among middle-aged and older adults with diabetes in China: a nine-year cohort study using CHARLS.

Haoqing Tang, Mingyue Li, Huixian Zheng, Yuxun Zhou, Xiaoyun Liu

Abstract read
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Haoqing TangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Mingyue LiDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Huixian ZhengDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Yuxun ZhouChina Center for Health Development Studies, Peking University, Beijing, China.
Xiaoyun LiuChina Center for Health Development Studies, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China has the largest diabetic population, accounting for over a quarter of global cases. As a chronic condition frequently accompanied by comorbidities, diabetes requires research on the patterns and burdens of associated conditions, particularly within primary care settings. We aim to provide longitudinal insights into the evolution of comorbidity patterns and burdens among China's diabetic population, examining trends and influencing factors. Methods: We used longitudinal data in five waves (2011-20) of the China Health and Retirement Longitudinal Study (CHARLS). We classified comorbidities into three categories based on their aetiological relationship with diabetes: traditional concordant (TCC), non-traditional concordant (NCC), and discordant (DC). We used generalised estimating equation (GEE) models to identify factors influencing comorbidity burden. Results: Between 2011 and 2020, the prevalence of diabetes among individuals aged ≥45 years in China increased from 6.3% to 17.6%, while diabetes-related comorbidities rose from 5.3% to 16.9%. The most prevalent comorbidities in 2020 were hypertension (68.3%) and dyslipidemia (62.3%). The average number of conditions per diabetic patient increased by 1.5, and the Charlson comorbidity index (CCI) increased by 50%. At the final follow-up, 65.4% of patients had TCC, 92.4% had NCC, and 75.9% had DC. GEE analysis showed that the number (β = 0.034; P = 0.009) and CCI (β = 0.041; P = 0.021) of comorbidities increase with age. Diabetes control was significantly associated with a decrease in both the numbers (β = -0.720; P < 0.001) and CCI of TCC (β = -0.951; P < 0.001), a modest but significant reduction in NCC numbers (β = -0.134; P = 0.021) without a corresponding decrease in its CCI, and no significant association with DC. Conclusions: The increasing comorbidity burden in diabetic patients highlights the need for primary care-centred interventions tailored to comorbidity types. Targeted management of diabetes is instrumental in reducing the severity of comorbidities within the TCC pattern.

Indexed as

ComorbidityCost of IllnessDiabetes MellitusAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalence

Identifiers

PMID41384502
PMCPMC12699500

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.