Evidence map›Paper›PMID 28376945›Full record

ArticlePublic health nutrition2017

Perceptions and behaviours towards high body weight among adults in Northeast China.

Chunshi Gao, Xin Lv, Yutian Yin, Yuanyuan Song, Peng Zhang, Rui Wang, Lingling Jiang, Yuhan Wang, Yaqin Yu, Bo Li

Abstract read
In one paragraph

Article in Public health nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Misclassification of Self-Reported Body Mass Index Categories.Deutsches Arzteblatt international · 2020
    Pooled it
  2. Article
  3. Income distribution and health: can polarization explain health outcomes better than inequality?The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    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

10 authors.

Chunshi GaoDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Xin LvDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Yutian YinDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Yuanyuan SongDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Peng ZhangDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Rui WangDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Lingling JiangDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Yuhan WangDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Yaqin YuDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.
Bo LiDepartment of Epidemiology and Biostatistics,Jilin University School of Public Health,1163 Xinmin Street,Changchun,Jilin 130021,People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prevalence of high weight at different characteristics, understand the perceptions and behaviours towards high body weight, and determine potential influencing factors of body weight misperception among high-weight adults in Jilin Province.

designA cross-sectional survey with complex sampling design was conducted. We described the prevalence and perception of high body weight.

settingNortheast China in 2012. SUBJECTS: Adults (n 20 552) aged 18-79 years.

resultsOf overweight individuals, 37·4 % considered themselves as 'normal weight', 4·8 % reported themselves as being 'very thin' and only 53·1 % were aware of their own weight being 'overweight'. About 1·8 % of both male and female obese individuals perceived themselves as 'very thin'. Only 29·1 % of obese people thought of themselves as 'too fat'. Nearly 30·0 % of centrally obese men and women perceived that their waist circumference was about right and they were of 'normal weight'; 5·7 % of the centrally obese even perceived themselves as being 'very thin'. Only 51·8 and 12·5 % of centrally obese individuals reported themselves to be 'overweight' or 'too fat'. Body weight misperception was more common in rural residents (OR; 95 % CI: 1·340; 1·191, 1·509). The prevalence of body weight misperception increased with age (middle age: 1·826; 1·605, 2·078; old people: 3·101; 2·648, 3·632) and declined with increased education level (junior middle school: 0·628; 0·545, 0·723; senior middle school: 0·498; 0·426, 0·583; undergraduate and above: 0·395; 0·320, 0·487).

conclusionsBody weight misperception was common among adults from Jilin Province.

Indexed as

Health BehaviorSelf ConceptAdolescentAdultAgedBody Mass IndexBody WeightChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOverweightAbdominal obesityBody weight perceptionObesityOverweightPrevalence

Identifiers

PMID28376945
PMCPMC10261658

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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.