Evidence map›Paper›PMID 36687675›Full record

ArticleFrontiers in nutrition2022

The temporal trend of disease burden attributable to metabolic risk factors in China, 1990-2019: An analysis of the Global Burden of Disease study.

Yingzhao Jin, Ho So, Ester Cerin, Anthony Barnett, Sumaira Mubarik, Kamal Hezam, Xiaoqi Feng, Ziyue Wang, Junjie Huang, Chenwen Zhong and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. 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
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 7 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

20 authors at 18 institutions in 8 countries.

Yingzhao JinDepartment of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Ho SoDepartment of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Ester CerinMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
Anthony BarnettMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
Sumaira MubarikDepartment of Epidemiology and Biostatistics, Wuhan University, Wuhan, China.
Kamal HezamNankai University School of Medicine, Tianjin, China.
Xiaoqi FengFaculty of Medicine and Health, School of Population Health, University of New South Wales, Sydney, NSW, Australia.
Ziyue WangDepartment of Family Medicine, McGill University, Montreal, QC, Canada.
Junjie HuangJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Chenwen ZhongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Khezar HayatInstitute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Fang WangSchool of Public Health, Xuzhou Medical University, Xuzhou, China.
Ai-Min WuDepartment of Orthopaedics, Wenzhou Medical University, Wenzhou, China.
Suowen XuDepartment of Endocrinology, University of Science and Technology of China, Hefei, China.
Zhiyong ZouInstitute of Child and Adolescent Health, Peking University, Beijing, China.
Lee-Ling LimDepartment of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Jiao CaiInstitute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China.
Yimeng SongSchool of the Environment, Yale University, New Haven, CT, United States.
Lai-Shan TamDepartment of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Dongze WuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Chinese University of Hong Kong · CNAustralian Catholic University · AUChongqing University of Science and Technology · CNHong Kong Jockey Club · CNMcGill University · CAPeking University · CNPrince of Wales Hospital · CNTaiz University · YEUniversity of Electronic Science and Technology of China · CNUniversity of Hong Kong · HKUniversity of Malaya · MYUniversity of Science and Technology of China · CNUniversity of Veterinary and Animal Sciences · PKUNSW Sydney · AUWenzhou Medical University · CNWuhan University · CNXuzhou Medical College · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The disease burden attributable to metabolic risk factors is rapidly increasing in China, especially in older people. The objective of this study was to (i) estimate the pattern and trend of six metabolic risk factors and attributable causes in China from 1990 to 2019, (ii) ascertain its association with societal development, and (iii) compare the disease burden among the Group of 20 (G20) countries. Methods: The main outcome measures were disability-adjusted life-years (DALYs) and mortality (deaths) attributable to high fasting plasma glucose (HFPG), high systolic blood pressure (HSBP), high low-density lipoprotein (HLDL) cholesterol, high body-mass index (HBMI), kidney dysfunction (KDF), and low bone mineral density (LBMD). The average annual percent change (AAPC) between 1990 and 2019 was analyzed using Joinpoint regression. Results: For all six metabolic risk factors, the rate of DALYs and death increased with age, accelerating for individuals older than 60 and 70 for DALYs and death, respectively. The AAPC value in rate of DALYs and death were higher in male patients than in female patients across 20 age groups. A double-peak pattern was observed for AAPC in the rate of DALYs and death, peaking at age 20-49 and at age 70-95 plus. The age-standardized rate of DALYs increased for HBMI and LBMD, decreased for HFPG, HSBP, KDF, and remained stable for HLDL from 1990 to 2019. In terms of age-standardized rate of DALYs, there was an increasing trend of neoplasms and neurological disorders attributable to HFPG; diabetes and kidney diseases, neurological disorders, sense organ diseases, musculoskeletal disorders, neoplasms, cardiovascular diseases, digestive diseases to HBMI; unintentional injuries to LBMD; and musculoskeletal disorders to KDF. Among 19 countries of Group 20, in 2019, the age-standardized rate of DALYs and death were ranked fourth to sixth for HFPG, HSBP, and HLDL, but ranked 10th to 15th for LBMD, KDF, and HBMI, despite the number of DALYs and death ranked first to second for six metabolic risk factors. Conclusions: Population aging continuously accelerates the metabolic risk factor driven disease burden in China. Comprehensive and tight control of metabolic risk factors before 20 and 70 may help to mitigate the increasing disease burden and achieve healthy aging, respectively.

Indexed as

agingChinadisease burdenmetabolic risk factorstemporal trend

Identifiers

PMID36687675
PMCPMC9846330
OpenAlexW4313584402

What Socratic holds

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LicenceCC BY
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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 Socratic graph.