Evidence map›Paper›PMID 28582827›Full record

ArticleAsia Pacific journal of clinical nutrition

Differences in health-related behaviors between middle school, high school, and college students in Jiangsu province, China.

Weina Liu, Mike Z He, Yunle Wang, Yan Wang, Yonglin Zhou, Ming Wu, Zhen Tang, Yue Dai, Baojun Yuan, Shiqi Zhen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Asia Pacific journal of clinical nutrition. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Weina LiuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Mike Z HeColumbia University Mailman School of Public Health, New York, USA.
Yunle WangUniversity of Washington - Seattle School of Public Health, Seattle, Washington, USA.
Yan WangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yonglin ZhouJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Ming WuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Zhen TangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yue DaiJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Baojun YuanJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Shiqi ZhenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China. Email: cdczsq@163.com; zh2263@cumc.columbia.edu.
Lawrence J CheskinJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jiangsu Provincial Center for Disease Control and Prevention · CNColumbia University · USJohns Hopkins University · USPublic Health – Seattle & King County · US

Funding

Interdisciplinary Training in Climate and HealthT32ES023770 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2019
$1.5M
NIEHS NIH HHS T32 ES023770
6 · The paper itself

Abstract

BACKGROUND AND

objectivesIncreasing rates of obesity among Chinese adolescents has become a major public health concern in recent years. Studies have shown that factors such as food choices, physical activity, and screen time play important roles in fostering obesity. We examined a number of biological and social determinants that influence these factors. To determine whether dietary behavior, physical activity, and screen time varied among students in different stages of their education. METHODS AND STUDY

designStudents in 13 cities across Jiangsu Province completed an anonymous survey assessing demographics and various health-related behaviors in a controlled setting. The survey population ranged from middle school students to undergraduates. 55,361 surveys were returned, and 46,611 (84.2%) were usable for the analysis. Multiple linear regression models were used to investigate the relationship between four behavioral factors (dietary behavior, screen time, physical activity, and moderate exercise) and seven predictors (gender, age, BMI, mother's education, nearsightedness, allowance, and geographic region).

resultsBaseline characteristics of the survey population analyzed by education level (middle school, high school, college and beyond) showed moderate differences in demographics among the three groups. Physical activity, moderate exercise, and dietary behavior decreased with educational level, while screen time increased. All predictors in the four considered regression models were statistically significant.

conclusionsThis unique, large-scale survey of Chinese students in a region of contrasting economic development revealed numerous relationships between health-related diet and physical-activity, region, and education level. These findings can inform the development of measures to counteract the rise of obesity in China.

Indexed as

AgingHealth BehaviorAdolescentChinaFemaleHumansMaleYoung Adult

Identifiers

PMID28582827
PMCPMC6548715
OpenAlexW2499035172

What OpenQuestion holds

Textmetadata
LicenceTDM
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.