Evidence map›Paper›PMID 26179650›Full record

ArticleBMJ open2015

A comparison study on the prevalence of obesity and its associated factors among city, township and rural area adults in China.

Yan Zou, Ronghua Zhang, Biao Zhou, Lichun Huang, Jiang Chen, Fang Gu, Hexiang Zhang, Yueqiang Fang, Gangqiang Ding

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Monosodium glutamate: A hidden risk factor for obesity?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Rural-Urban Difference in BMI and Anemia among Children and Adolescents.International journal of environmental research and public health · 2016
    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

9 authors.

Yan ZouNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ronghua ZhangNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Biao ZhouNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Lichun HuangNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jiang ChenNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Fang GuNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Hexiang ZhangNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yueqiang FangNutrition and Food safety Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Gangqiang DingNational Institute for Nutrition and Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association of dietary behaviour factors on obesity among city, township and rural area adults.

settingA stratified cluster sampling technique was employed in the present cross-sectional study. On the basis of socioeconomic characteristics, two cities, two townships and two residential villages were randomly selected where the investigation was conducted.

participantsA total of 1770 city residents, 2071 town residents and 1736 rural area residents participated in this survey. PRIMARY AND SECONDARY OUTCOME MEASURES: Dietary data were collected through interviews with each household member. Anthropometric values were measured. Participants with a body mass index (BMI) of ≥28.0 kg/m(2) were defined as obesity.

resultsThe prevalence of obesity was 10.1%, 7.3% and 6.5% among city, township and rural area adults, respectively. Correlation analysis showed that for adults living in cities, the daily intake of rice and its products, wheat flour and its products, light coloured vegetables, pickled vegetables, nut, pork and sauce was positively correlated with BMI (r=0.112, 0.084, 0.109, 0.129, 0.077, 0.078, 0.125, p<0.05), while the daily intake of tubers, dried beans, milk and dairy products was negatively correlated with BMI (r=-0.086, -0.078, -0.116, p<0.05). For township residents, the daily intake of vegetable oil, salt, chicken essence, monosodium glutamate and sauce was positively correlated with BMI (r=0.088, 0.091, 0.078, 0.087, 0.189, p<0.05). For rural area residents, the daily intake of pork, fish and shrimp, vegetable oil and salt was positively correlated with BMI (r=0.087, 0.122, 0.093, 0.112, p<0.05), while the daily intake of dark coloured vegetables was negatively correlated with BMI (r=-0.105, p<0.05).

conclusionsThe prevalence of obesity was higher among city residents than among township and rural area residents. The findings of this study indicate that demographic and dietary factors could be associated with obesity among adults. Healthy dietary behaviour should be promoted and the ongoing monitoring of population nutrition and health status remains crucially important.

Indexed as

FoodAdultAgedBody Mass IndexChinaCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedObesityPrevalenceRisk FactorsRural PopulationSocioeconomic FactorsNUTRITION & DIETETICSPREVENTIVE MEDICINEPUBLIC HEALTH

Identifiers

PMID26179650
PMCPMC4513451

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.