Evidence map›Paper›PMID 36014849›Full record

ArticleNutrients2022

Total and Added Sugar Intakes Are Increasing among Children and Adolescents in China: Findings from CHNS 1997-2011.

Yan Liu, Jing Cheng, Lijin Wan, Wei Chen

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 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

4 authors at 3 institutions in 2 countries.

Yan LiuDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China.ORCID 0000-0003-2189-4712
Jing ChengDivision of Oral Epidemiology & Dental Public Health, University of California at San Francisco, 3333 California Street, Ste. 495, San Francisco, CA 94143, USA.
Lijin WanBaidu Inc., No. 10 Xibeiwang East Road, Beijing 100193, China.
Wei ChenDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China.
University of California, San Francisco · USBaidu (China) · CNChinese Academy of Medical Sciences & Peking Union Medical College · 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
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
BEYOND RACE--EXPLAINING INEQUALITY MANIFESTED AS OBESITYR01HD039183 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2003
$780k
China Scholarship Council 201806010381Foundation for the National Institutes of Health HD30880Foundation for the National Institutes of Health P01-HD28076NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NIDDK NIH HHS P30 DK056350NIH HHS HD39183the National Science Foundation INT-9215399
6 · The paper itself

Abstract

A high level of sugar intake has been linked to poor dietary quality and a wide range of chronic diseases. However, data on sugar intake are still scarce in China. This study aimed to provide time trends in the total and added sugar intakes among Chinese children and adolescents from 1997 to 2011. A nationwide ongoing open prospective cohort study of Chinese children and adolescents aged 3−17 years (n = 13,212) was conducted by using data from the China Health and Nutrition Survey (CHNS) 1997−2011 (six 1-year cycles). An individual dietary intake was collected from three consecutive 24-h recalls during randomly allocated home visits. Data for total and added sugar contents were determined based on the U.S. Department of Agriculture (USDA) National Nutrient Database for Standard Reference, Release 28 (SR28), the Food Patterns Equivalents Database (FPED) 2015−2016, and the labeled ingredients and nutrient contents. General linear regression was used to estimate time trends. Over the 15-year period, total sugar and added sugar intakes increased among all age groups studied (3−17 years: total sugar increased from 11.2 ± 0.3 g/d to 28.1 ± 0.5 g/d, added sugar increased from 1.0 ± 0.1 g/d to 7.2 ± 0.3 g/d; 3−6 years: 9.5 ± 0.6 g/d to 25.1 ± 0.9 g/d, 1.3 ± 0.2 g/d to 6.9 ± 0.4 g/d; 7−12 years: 11.4 ± 0.5 g/d to 28.1 ± 0.8 g/d, 0.9 ± 0.1 g/d to 7.1 ± 0.5 g/d; 13−17 years: 11.8 ± 0.4 g/d to 31.4 ± 1.1 g/d, 1.0 ± 0.2 g/d to 7.6 ± 0.6 g/d) (all p for trend < 0.001). Adolescents aged 13−17 years had the highest total sugar intake, and children aged 3−6 years had the highest added sugar intake, except for 2011. Children and adolescents living in urban areas and who were overweight had much higher total and added sugar intakes than those residing in rural areas and of non-overweight/obesity. Furthermore, the dietary sources of total and added sugars have become more diverse over the study period. In conclusion, we observed a notable rise in total and added sugar intakes among children and adolescents across all age groups, both genders, both urban and rural areas, and all BMI categories, with dietary sources of total and added sugars becoming more diverse in China over 15 years.

Indexed as

BeveragesEnergy IntakeAdolescentChildChinaDietDietary CarbohydratesFemaleHumansMaleNutrition SurveysProspective StudiesSugarsDietary CarbohydratesSugarsadded sugaradolescentschildrendietary sourcestime trendstotal sugar

Identifiers

PMID36014849
PMCPMC9416199
OpenAlexW4291916214

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.