Evidence map›Paper›PMID 35859134›Full record

ArticleDiabetologia2022

Associations of polysocial risk score, lifestyle and genetic factors with incident type 2 diabetes: a prospective cohort study.

Yimin Zhao, Yueying Li, Zhenhuang Zhuang, Zimin Song, Wenxiu Wang, Ninghao Huang, Xue Dong, Wendi Xiao, Jinzhu Jia, Zhonghua Liu and 2 more

Open access · hybridAbstract read
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In one paragraph

Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 70 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Yimin ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yueying LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhenhuang ZhuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zimin SongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenxiu WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ninghao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Xue DongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wendi XiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jinzhu JiaDepartment of Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhonghua LiuDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China.
Duo LiInstitute of Nutrition & Health, Qingdao University, Qingdao, Shandong, China.
Tao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. huangtao@bjmu.edu.cn.
Peking University · CNQingdao University · CNUniversity of Hong Kong · HK

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

aim/hypothesisWe aimed to investigate the association between polysocial risk score (PsRS), an estimator of individual-level exposure to cumulative social risks, and incident type 2 diabetes in the UK Biobank study.

methodsThis study includes 319,832 participants who were free of diabetes, cardiovascular disease and cancer at baseline in the UK Biobank study. The PsRS was calculated by counting the 12 social determinants of health from three social risk domains (namely socioeconomic status, psychosocial factors, and neighbourhood and living environment) that had a statistically significant association with incident type 2 diabetes after Bonferroni correction. A healthy lifestyle score was calculated using information on smoking status, alcohol intake, physical activity, diet quality and sleep quality. A genetic risk score was calculated using 403 SNPs that showed significant genome-wide associations with type 2 diabetes in people of European descent. The Cox proportional hazards model was used to analyse the association between the PsRS and incident type 2 diabetes.

resultsDuring a median follow-up period of 8.7 years, 4427 participants were diagnosed with type 2 diabetes. After adjustment for major confounders, an intermediate PsRS (4-6) and high PsRS (≥7) was associated with higher risks of developing type 2 diabetes with the HRs being 1.38 (95% CI 1.26, 1.52) and 2.02 (95% CI 1.83, 2.22), respectively, compared with those with a low PsRS (≤3). In addition, an intermediate to high PsRS accounted for approximately 34% (95% CI 29, 39) of new-onset type 2 diabetes cases. A healthy lifestyle slightly, but significantly, mitigated PsRS-related risks of type 2 diabetes (p CONCLUSIONS/

interpretationA higher PsRS was related to increased risks of type 2 diabetes. Adherence to a healthy lifestyle may attenuate elevated diabetes risks due to social vulnerability. Genetic susceptibility and disadvantaged social status may act synergistically, resulting in additional risks for type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHealthy LifestyleHumansIncidenceLife StyleProspective StudiesRisk FactorsGenetic predispositionLifestylePolysocial risk scoreType 2 diabetesUK Biobank

Identifiers

PMID35859134
OpenAlexW4285999359

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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.