Evidence map›Paper›PMID 34837523›Full record

ArticleEuropean journal of nutrition2022

Trajectories of energy intake distribution and subsequent risk of hyperglycemia among Chinese adults: findings from the China Health and Nutrition Survey (1997-2018).

Xiaoyun Song, Huijun Wang, Chang Su, Zhihong Wang, Wenwen Du, Haojie Hu, Feifei Huang, Jiguo Zhang, Xiaofang Jia, Hongru Jiang and 6 more

Abstract read
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

16 authors.

Xiaoyun SongChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Huijun WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Chang SuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Zhihong WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Wenwen DuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Haojie HuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Feifei HuangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Jiguo ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Xiaofang JiaChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Hongru JiangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Yifei OuyangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Li LiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Jing BaiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Xiaofan ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Gangqiang DingChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Bing ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China. zhangbing@chinacdc.cn.

Funding

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
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 TW009077National Institutes of Health, USA DK056350National Institutes of Health, USA NIHNational Institutes of Health, USA R01-HD30880National Institutes of Health, USA R01-HD38700NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168The Carolina Population Center, University of North Carolina at Chapel Hill P2CHD050924The Carolina Population Center, University of North Carolina at Chapel Hill T32HD007168The Fogarty International Center, USA D43TW007709The Fogarty International Center, USA D43TW009077The Fogarty International Center, USA NIHThe Ministry of Finance of the Republic of China 13103110700015005the National Key R&D Program of China 2019YFC1605100
6 · The paper itself

Abstract

aimsFew studies have examined the secular trend of the energy intake distribution, and its effect on future risk of hyperglycemia. This study aims to describe trajectories of energy intake distribution over 12 years and relate them to subsequent risk of hyperglycemia over 9 years of follow-up.

methodsOur study used ten waves of data from the CHNS survey, a population-based longitudinal survey in China, ongoing since 1989. We examined a cohort of adult participants who were free from diabetes but had at least three waves of dietary data from 1997 to 2009. We assessed energy intake using three consecutive 24 h recalls. We used these data to identify trajectory groups of energy intake distribution by multi-trajectory model based on energy intake proportions of breakfast, lunch, and dinner. We followed up participants for hyperglycemia, diabetes, and impaired fasting glucose for 9 years from 2009 to 2018. Outcomes were ascertained with fasting glucose, serum HbA1c, and self-report of diabetes and/or glucose-lowering medication. We estimated relative risk (RR) for hyperglycemia, diabetes, and impaired fasting glucose by identified trajectory groups using multilevel mixed-effects modified Poisson regression with robust (sandwich) estimation of variance. Gender difference was additionally examined.

resultsA total of 4417 participants were included. Four trajectory groups were identified, characterized and labeled by "Energy evenly distributed with steady trend group" (Group 1), "Dinner and lunch energy dominant with relatively steady trend group" (Group 2), "Dinner energy dominant with increasing trend and breakfast energy with declining trend group" (Group 3), and "breakfast and dinner energy dominant with increasing trend group" (Group 4). During 48,091 person-years, 1053 cases of incident hyperglycemia occurred, 537 cases of incident diabetes occurred, and 516 cases of impaired fasting glucose occurred. Compared with Group 1, Group 3 was associated with higher subsequent risk of incident hyperglycemia in 9 years of follow-up (RR = 1.28, 95% CI = 1.02, 1.61). No association was found for incident diabetes and impaired fasting glucose. Among males, Group 3 was associated with higher risk of incident hyperglycemia in 9 years of follow-up (RR = 1.44, 95% CI = 1.07, 1.94). No relationship was found in females.

conclusionsEnergy intake distribution characterized by over 40% of energy intake from dinner with a rising trend over years was associated with higher long-term risk of hyperglycemia in Chinese adults.

Indexed as

Energy IntakeHyperglycemiaAdultBlood GlucoseBreakfastChinaFemaleHumansMaleMealsNutrition SurveysBlood GlucoseDiabetesEnergy intakeHyperglycemiaImpaired fasting glucoseMulti-trajectory model

Identifiers

PMID34837523
PMCPMC8921126

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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.