Evidence map›Paper›PMID 27613102›Full record

ArticleBMC public health2016

The prevalence of obesity and influence of early life and behavioral factors on obesity in Chinese children in Guangzhou.

Ting Zhang, Li Cai, Lu Ma, Jin Jing, Yajun Chen, Jun Ma

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
4.8field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  13. Oral Processing, Satiation and Obesity: Overview and Hypotheses.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  14. Article
  15. A Questionnaire-Based Assessment of Hunger, Speed of Eating and Food Intake in Children with Obesity.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    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

6 authors at 2 institutions in 1 country.

Ting ZhangDepartment of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Li CaiDepartment of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Lu MaDepartment of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Jin JingDepartment of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. jingjin@mail.sysu.edu.cn.
Yajun ChenDepartment of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. chenyj68@mail.sysu.edu.cn.
Jun MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China.
Sun Yat-sen University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood obesity has become a public health concern in many countries. In Southern China, the prevalence of childhood obesity increased from 6.2 to 7.5 % between 2007 and 2011. This study aimed to report the current prevalence of overweight and obesity, analyzed the early life and behavioral determinants of obesity, and investigated the weight-loss practices among Chinese children in Guangzhou.

methodsThree thousand seven hundred sixty-six primary school students aged 7-12 years were recruited in Guangzhou, China in 2013. Questionnaires were used to assess (1) early life factors: birth weight, delivery mode, gestational age and feeding patterns; (2) behavioral factors: dietary intake, eating speed, sedentary time, physical activities and sleep duration; and (3) weight-loss practices: improving diet, increasing exercise, taking weight-loss drugs and undergoing a diet. The criteria of Working Group of Obesity in China were applied to classify overweight and obesity based on measured weight and height. Multivariable logistic regression analyses were performed to examine the determinants of overweight/obesity and adoption of weight-loss practices.

resultsThe prevalence of childhood overweight and obesity were 11.2 and 10.0 %, respectively. High birth weight (≥4.0 kg versus 2.5 ~ 4.0 kg, odd ratio [OR]: 2.34; 95 % confidence interval [CI]: 1.53-3.58), sugar-sweetened beverages (SSBs) intake (OR: 1.39; 95 % CI: 1.05-1.85), vegetable intake (OR: 1.12; 95 % CI: 1.01-1.24), and doing homework (OR: 1.24; 95 % CI: 1.08-1.43) were positively associated with obesity. Eating speed faster than peers was positively associated with obesity and yielded the highest OR (versus "as fast as peers", OR: 3.18; 95 % CI: 2.28-4.44). Approximately 57, 81 and 87 % of normal-weight, overweight and obese children, respectively, reported weight-loss practices. Self-perception of weight status presented as the strongest determinant for weight-loss practices.

conclusionsThe prevalence of overweight and obesity were high in Chinese children in Guangzhou, and both were higher than previous level in 2011. Further research should address the unhealthy dietary (e.g. SSBs intake, fast eating speed) and sedentary behaviors (e.g. doing homework) of these children. Moreover, an accurate perception of body weight can help promote the adoption of weight-loss practices in overweight and obese children.

Indexed as

Health BehaviorBeveragesChildChinaDietExerciseFeeding BehaviorFemaleHumansMaleOverweightPediatric ObesityPrevalenceSchoolsSelf ConceptSleepChildhood obesityDietary intakeEarly life factorSedentary timeWeight-loss practice

Identifiers

PMID27613102
PMCPMC5016860
OpenAlexW2508362120

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.