Evidence map›Paper›PMID 30272859›Full record

ArticleAsia Pacific journal of clinical nutrition

Analysis of dietary trends in Chinese adolescents from 1991 to 2011.

Alice Yunzi L Yu, Nancy López-Olmedo, Barry M Popkin

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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Differences in Cardiorespiratory Fitness between Chinese and Japanese Children and Adolescents.International journal of environmental research and public health · 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

3 authors at 1 institution in 1 country.

Alice Yunzi L YuDepartment of Nutrition, University of North Carolina at Chapel Hill, USA.
Nancy López-OlmedoDepartment of Nutrition, University of North Carolina at Chapel Hill, USA.
Barry M PopkinDepartment of Nutrition, University of North Carolina at Chapel Hill, USA. popkin@unc.edu.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS D43 TW007709FIC NIH HHS D43 TW009077NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo examine temporal trends in dietary energy, fat, carbohydrate, protein, sodium and potassium intake of Chinese adolescents aged 12 - 17 years by sex and urbanicity, using data from the China Health and Nutrition Survey. METHODS AND STUDY

designIndividual level, consecutive 3 - day 24-hour recalls were analyzed from survey years 1991 (n=504), 2000 (n=665), and 2011 (n=267) from nine provinces representing a range of geography, economic development, and health indicators in China. Linear multivariable regression models were conducted to predict mean intakes of energy, macronutrients, sodium, and potassium. Models were adjusted for age, per capita income, parental education, region, and family size.

resultsFrom 1991 to 2011, total energy consumption decreased among both sexes and all urbanicity groups (p<0.05). Sodium intake decreased in all sex and urbanicity groups except the high urbanicity group, which was the only group to show significant change in potassium intake (p<0.05). Sodium-potassium ratios decreased overall and across both sexes (p<0.05). However, the major observed shift was a structural change from carbohydrates to fat and protein. Both sexes showed decrease in carbohydrate-derived energy (p<0.05). Proportion of fat-derived energy increased in female adolescents. Proportion of protein-derived energy increased in male adolescents, as well as in the low and high urbanicity groups (p<0.01).

conclusionsThis suggests Chinese adolescents are transitioning to a low carbohydrate diet. Urbanicity appears to play a role in sodium, potassium and protein intake. Improvements of sodiumpotassium ratios are primarily due to decreased sodium intake and require further reduction efforts.

Indexed as

AdolescentChildChinaDietDietary CarbohydratesDietary FatsDietary ProteinsDiet RecordsDiet SurveysEnergy IntakeFemaleHumansLongitudinal StudiesMalePopulationPotassiumDietary CarbohydratesDietary FatsDietary ProteinsPotassiumSodium

Identifiers

PMID30272859
PMCPMC6298787
OpenAlexW2912267300

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.