Evidence map›Paper›PMID 34692822›Full record

ArticleInternational journal of chronic diseases2021

Prevalence and Influencing Factors of Overweight and Obesity among Adult Residents of Western China: A Cross-Sectional Study.

Li Zheng, Feng Deng, Honglin Wang, Biao Yang, Meng Qu, Peirong Yang

Abstract read
In one paragraph

Article in International journal of chronic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

6 authors.

Li ZhengBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0002-4189-6531
Feng DengBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0003-1618-0475
Honglin WangBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0001-6941-4998
Biao YangBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0001-8329-2034
Meng QuBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0002-5611-1442
Peirong YangBaoji Center for Disease Control and Prevention, Baoji 721000, China.ORCID https://orcid.org/0000-0001-6982-9595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverweight and obesity have become a serious health problem. There are a few data on the prevalence of overweight and obesity in Baoji city of western China, this study was conducted to investigate the epidemiologic features of overweight and obesity and explored influencing factors among Baoji adult residents.

methodsA cross-sectional study, including 36,600 participants aged above 15 years, was carried out in Baoji city in 2018. Each participant's weight and height were measured, and demographic and behavioral characteristics were collected using questionnaires. Data were analyzed by means of logistic regression considering 95% level of significance.

resultsOverall, the prevalence of overweight and obesity was 30.73% and 3.11%, respectively. Male had a significantly higher prevalence of overweight (31.45% vs. 29.98%,

conclusionOur results demonstrate that demographic and behavioral factors play an important role in prevalence of overweight/obesity, which can support the implementation of interventions aimed at weight control and consequently prevention of related diseases in this population.

Identifiers

PMID34692822
PMCPMC8528588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.