Evidence map›Paper›PMID 40613322›Full record

ArticleDiabetes, obesity & metabolism2025

Exploring population and sex-specific disease trajectories for multimorbidities among individuals with overweight or obesity: A retrospective cohort study in UK biobank.

Qianhui Lu, Yining Bao, Fang Lu, Priya Sumithran, Terence J O'Brien, Qiuhong Yue, Runxin Li, Yilan Lv, Chongjian Wang, Lei Zhang

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Qianhui LuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.
Yining BaoChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, PR China.
Fang LuChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, PR China.
Priya SumithranDepartment of Surgery, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Terence J O'BrienDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Qiuhong YueDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.
Runxin LiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.
Yilan LvDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.
Lei ZhangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, PR China.ORCID 0000-0003-2343-084X

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFC2304900Ministry of Science and Technology of the People's Republic of China 2022YFC2304905National Key R&D Program of China 2022YFC2505100National Key R&D Program of China 2022YFC2505103
6 · The paper itself

Abstract

backgroundOverweight and obesity are major risk factors for non-communicable diseases (NCDs). This study aimed to explore the pattern of multimorbidity development and disease trajectories in individuals with overweight and obesity.

methodsWe followed a cohort of 392 541 individuals retrospectively from the UK Biobank. This cohort included 131 075 with normal weight (BMI 18.5-24.9 kg/m

resultsDuring a median follow-up of 12.74 years, compared with individuals with normal weight, individuals with overweight had a higher risk of diagnosis of 17 NCDs, while those with obesity had 27. We identified 35 and 103 disease trajectories in individuals with overweight and obesity, among which, hypertension and cardiovascular diseases were key hub diseases. In particular, the age of disease diagnosis in individuals with obesity was younger than those with overweight, and the disease trajectory network in individuals with obesity was also 1.93 times more complex than overweight. Among identified disease trajectories, cardiometabolic diseases, including hypertension, coronary heart disease (CHD) and dyslipidemia, often appeared early, while heart failure and chronic kidney disease (CKD) appeared in a later stage of disease development. In women with obesity, depression diagnosis preceded most other multimorbidities and progressed to anxiety, painful conditions and CKD.

conclusionObesity can significantly contribute to a higher risk of multimorbidities at younger ages and with a more complex disease development trajectory than both normal weight and overweight populations. Early interventions for cardiometabolic diseases in individuals with overweight or obesity and depression in women with obesity are essential for multimorbidity management.

Indexed as

MultimorbidityNoncommunicable DiseasesObesityOverweightAdultAgedBiological Specimen BanksBody Mass IndexCardiovascular DiseasesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSex Factorscardiometabolic diseasesdisease trajectoriesmultimorbidityobesityoverweight

Identifiers

PMID40613322
PMCPMC12326897

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.