Evidence map›Paper›PMID 35851009›Full record

ArticleBMJ open2022

Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study).

Liang Zhou, Wei Hu, Siyuan Liu, Yanan Qiao, Dingliu He, Shuting Xiong, Liuming Peng, Lei Cao, Ying Wu, Na Sun and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-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

4 citing papers in PubMed, 5 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

18 authors at 1 institution in 1 country.

Liang Zhou *Liyang Center for Disease Control and Prevention, Liyang Health Bureau, Liyang, China.
Wei Hu *Department of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.ORCID 0000-0003-3526-5773
Siyuan LiuDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Yanan QiaoDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Dingliu HeDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Shuting XiongDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Liuming PengLiyang Center for Disease Control and Prevention, Liyang Health Bureau, Liyang, China.
Lei CaoLiyang Center for Disease Control and Prevention, Liyang Health Bureau, Liyang, China.
Ying WuLiyang Center for Disease Control and Prevention, Liyang Health Bureau, Liyang, China.
Na SunDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Qiang HanDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Jiadong ChuDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Xuanli ChenDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Tongxing LiDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Zhaolong FengDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Qida HeDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.
Chaofu KeDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China.ORCID 0000-0003-3188-4307
Yueping ShenDepartment of Epidemiology and Biostatistics, Soochow University Medical College, Suzhou, China shenyueping@suda.edu.cn.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study) is a prospective population-based study which aims to investigate and identify the determinants of the most prevalent chronic non-communicable diseases (NCDs) and to evaluate the impact of demographic characteristics, lifestyle, dietary habits, cognition, disability and NCDs on the health-related quality of life.

participantsBetween March 2019 and June 2020, 10 056 individuals aged ≥18 years were administered a baseline survey through a multistage cluster random sampling in Liyang City, southern Jiangsu Province, China. FINDINGS TO DATE: The Liyang Study included detailed sociodemographic, anthropometric and health-related behaviour, common NCDs and blood sample information. Moreover, the study gathered a series of data on specific scales including the activities of daily living, instrumental activities of daily living, abbreviated mental test, Food Frequency Questionnaire and EuroQol 5-Dimensions 5-Levels Scale. Of the 10 056 participants, 52.92% (n=5322) were female and 92.26% (n=9278) came from rural areas. The mean age was 49.9±16.2 years. Men were more likely to have a higher level of education, annual income and a paid job than women (p<0.05). The top three overall most prevalent NCDs in the study were hypertension (18.06%, n=1815), digestive diseases (7.88%, n=791), and arthritis or rheumatism (5.28%, n=530). Women had a significantly higher prevalence of diabetes (5.46%, n=290 vs 4.42%, n=209, p=0.016) and arthritis (6.04%, n=321 vs 4.42%, n=209, p<0.001) than men, while the opposite was true for chronic lung diseases such as chronic obstructive pulmonary disease (1.37%, n=65 vs 0.92%, n=49, p=0.032) and chronic hepatic diseases (0.80%, n=38 vs 0.47%, n=25, p=0.035). FUTURE PLANS: The current study will give valuable insights into the association between sociodemographic factors, health-related behaviour, diet, cognition, disability and genetic factors and the most prevalent NCDs among local community residents. Starting from 2022, a follow-up survey will be conducted every 3 years to further explore the causal relationship between the above factors and NCDs.

Indexed as

ArthritisNoncommunicable DiseasesActivities of Daily LivingAdolescentAdultAgedChinaChronic DiseaseCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceProspective StudiesQuality of Lifeepidemiologypublic healthrisk management

Identifiers

PMID35851009
PMCPMC9297217
OpenAlexW4285806574

What OpenQuestion 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 OpenQuestion graph.