Evidence map›Paper›PMID 31154304›Full record

Observational studyBMJ open2019

Time trend of cardiometabolic risk factors over a 10-year period in the office-working population in China.

Yang Cheng, Hongli Yin, Hui Zheng, Donghua Yin, Gang Yin, Shanping Ying, Xiaohong Li, Hui Dai, Lvkun Zhao, Chong Shen and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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.

Yang Cheng *Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Hongli Yin *Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Hui ZhengCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Donghua YinCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Gang YinCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Shanping YingCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Xiaohong LiCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Hui DaiCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Lvkun ZhaoCenter for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Chong ShenDivision of Clinical Epidemiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Zhixiang Shen *Center for Health Management, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Liubao Gu *Division of Clinical Epidemiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRecent dramatic increases in cardiovascular disease mortality in China can be mostly explained by adverse changes in hypertension, dyslipidaemia, diabetes and obesity, known as cardiometabolic risk factors. Our study aimed to assess the trend of these four signatures by a 10-year lag in Nanjing, China.

methods8017 subjects attended the routine health examination in 2008, and 9379 subjects in 2017, from multiple work units of Nanjing, were included in the present study. The prevalence and trend of four cardiometabolic risk factors: hypertension, dyslipidaemia, diabetes and obesity were analysed.

resultsFrom 2008 to 2017, the prevalence of hypertension declined, while the prevalence of dyslipidaemia, diabetes and obesity increased. Besides, the population in 2008 and 2017 had an average of 0.66 and 0.78 risk factors, respectively.

conclusionCardiometabolic risk factors are common for the staff in administrative agencies and institutions of Nanjing, China. Effective screening and interventions against these risk factors should be adopted in high-risk populations such as the office-working population in China.

Indexed as

AdultAgedAged, 80 and overAge DistributionAsian PeopleCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasEmploymentFemaleForecastingHumansHypertensionMaleMiddle Agedcardio-metabolic risk factorsoffice-working populationten-year period

Identifiers

PMID31154304
PMCPMC6549710

What OpenQuestion holds

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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.