Evidence map›Paper›PMID 25886538›Full record

ArticleBMC public health2015

Association of obesity with socioeconomic status among adults of ages 18 to 80 years in rural Northwest China.

Leilei Pei, Yue Cheng, Yijun Kang, Shuyi Yuan, Hong Yan

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Socioeconomic Status, Institutional Power, and Body Mass Index among Chinese Adults.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Perceived Environmental Factors Associated with Obesity in Libyan Men and Women.International journal of environmental research and public health · 2018
    Article
  12. Article
  13. Article
  14. 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

5 authors.

Leilei PeiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 West Yanta Road, PO Box 46, Xi'an, Shaanxi, 710061, PR China. peileilei424@163.com.
Yue ChengDepartment of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China. chengy@mail.xjtu.edu.cn.
Yijun KangDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 West Yanta Road, PO Box 46, Xi'an, Shaanxi, 710061, PR China. tjkyj@mail.xjtu.edu.cn.
Shuyi YuanDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 West Yanta Road, PO Box 46, Xi'an, Shaanxi, 710061, PR China. renlin88310@sina.com.
Hong YanDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76 West Yanta Road, PO Box 46, Xi'an, Shaanxi, 710061, PR China. yhpaper605@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding social disparities in obesity are presently an essential element in establishing public health priorities. However, the association between socioeconomic status (SES) and obesity has not been assessed in rural Northwest China. This study aims to explore the effect of SES on overweight/obesity and abdominal obesity by gender and age in rural Northwest China.

methodsA total of 3030 participants between the ages of 18 to 80 years from rural Hanzhong, Shaanxi province, Northwest China were enrolled in our study using a two-level stratified random cluster sampling technique. Adjusted odds ratio (AOR) were used to assess the relationship between socioeconomic status and obesity after controlling for confounding factors using logistic regression.

resultsOur results indicated that the prevalence of abdominal obesity (38.8%) was the highest in rural Northwest China when compared with overweight (27.8%) and obesity (5.7%). When adjusting for possible risk factors, there were significant gender disparities in SES-obesity association. In men, the likelihoods of overweight/obesity and abdominal obesity were higher in the high SES groups when compared to the low SES groups. However, women with a high level of education were less likely to have overweight/obesity (AOR:0.78, 95% CI: 0.62, 0.98) than their counterparts with a low level of education. After the inclusion of multiple lifestyle factors, we still observed a strong positive association between age and obesity in the population.

conclusionsBoth gender and age differences in SES-obesity association were clearly observed in our study. Therefore, interventional measures should be employed in rural Northwest China to reduce the obesity epidemic that specifically takes into account gender and age differences.

Indexed as

Rural PopulationSocial ClassAdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth SurveysHumansLife StyleLogistic ModelsMaleMiddle AgedObesity

Identifiers

PMID25886538
PMCPMC4349793

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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 OpenQuestion graph.