Evidence map›Paper›PMID 24619105›Full record

ArticleEuropean journal of clinical nutrition2014

Trends in dietary fiber intake in Chinese aged 45 years and above, 1991-2011.

H J Wang, Z H Wang, J G Zhang, W W Du, C Su, J Zhang, F Y Zhai, B Zhang

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

37 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Impact of Dietary Fiber on Inflammation in Humans.International journal of molecular sciences · 2025
    Review
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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

8 authors at 2 institutions in 1 country.

H J WangNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
Z H WangNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
J G ZhangNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
W W DuNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
C SuNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
J ZhangNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
F Y ZhaiChinese Nutrition Society, Beijing, China.
B ZhangNational Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Institute for Nutrition and Food Safety, Beijing, China.
Chinese Center For Disease Control and Prevention · CNChinese Nutrition Society · CN

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
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
NICHD NIH HHS 5 R24 HD050924NICHD NIH HHS R01-HD30880NICHD NIH HHS R01-HD38700NICHD NIH HHS R24 HD050924NIDDK NIH HHS DK056350
6 · The paper itself

Abstract

BACKGROUND/

objectivesTo analyze the time trends in total dietary fiber (DF) intake, DF food sources and total DF intake per 1000 kcal (DF density) in Chinese adults aged 45 years and above in the past 20 years. SUBJECTS/

methodsWe used the data from the China Health and Nutrition Survey (CHNS) collected in 1991, 1993, 1997, 2000, 2004, 2006, 2009 and 2011. Adults who were aged 45 years and above were included in each round. Water-insoluble DF intake was calculated by substituting the water-insoluble DF content of each food in the Chinese Food Composition Table (FCT) for food intake. Total DF was calculated according to the convert index, which indicates the ratio between total DF and water-insoluble DF for each food group.

resultsThe mean daily total DF intake in males was 19.5 g/day in 1991 and 19.4 g/day in 2011. In females, it was 17.5 g/day in 1991 and 17.6 g/day in 2011. DF density increased in both males and females from 2004 to 2011. It was 9.0 g/1000 kcal in males and 9.5 g/1000 kcal in females in 2011. The major food sources of water-insoluble DF were cereals and vegetables. Communities with different levels of urbanization showed different trends in total DF intake: decreased consumption (2.9 g) in residents of low-urbanization communities and increased consumption (3.1 g) in those of high-urbanization communities.

conclusionThe average total DF intake in Chinese adults aged 45 years and above remained at a stable level. DF density increased because of slight decrease in energy intake. More public health messages should be disseminated, especially to the residents of low-urbanization communities, so as to increase their daily DF intake to a level close to the recommended DF intake.

Indexed as

Feeding BehaviorAgedAsian PeopleChinaDietary FiberEnergy IntakeFemaleFollow-Up StudiesHumansMaleMiddle AgedNutrition SurveysProspective StudiesDietary Fiber

Identifiers

PMID24619105
OpenAlexW2074388167

What OpenQuestion holds

Textmetadata
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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.