Evidence map›Paper›PMID 35010888›Full record

ArticleNutrients2021

Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study.

Xiaofan Zhang, Jiguo Zhang, Wenwen Du, Chang Su, Yifei Ouyang, Feifei Huang, Xiaofang Jia, Li Li, Jing Bai, Bing Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. 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
2.9field-weighted citation impact, top 8% 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, 30 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 2 countries.

Xiaofan ZhangChinese 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.ORCID 0000-0003-3266-8999
Wenwen DuChinese 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.
Yifei OuyangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0002-9092-8165
Feifei HuangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0002-7496-4908
Xiaofang JiaChinese 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.ORCID 0000-0003-2852-5426
Jing BaiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0001-6734-296X
Bing ZhangChinese 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.
Shufa DuDepartment of Nutrition and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Huijun WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CNUniversity of North Carolina at Chapel Hill · US

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
Monitoring Social Change: Dynamics Of Aging And Cognitive FunctionR01AG065357 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 2020 to 2024
$3.6M
Transition to a Western diet and cardiometabolic risk: biomarkers derived from the microbiomeR01DK104371 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2015 to 2018
$2.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
FIC NIH HHS D43 TW009077NIA NIH HHS R01 AG065357NICHD NIH HHS R01 HD030880NIDDK NIH HHS R01 DK104371Study of Diet and Nutrition Assessment and Intervention Technology No.2020YFC2006300the National Institute of Diabetes and Digestive and Kidney Diseases R01DK104371 and R01HL108427the National Institutes of Health, the Eunice Kennedy Shriver National Institute of Child Health and Human Development R01 HD30880
6 · The paper itself

Abstract

Studies on macronutrient intake and obesity have been inconclusive. This study examined the associations between multi-trajectories of macronutrients and the risk of obesity in China. We used data from 7914 adults who participated in the China Health and Nutrition Survey at least three times from 1991 to 2018. We collected detailed dietary data by conducting three 24 h dietary recalls and weighing foods and condiments in household inventories. We identified multi-trajectories using group-based multi-trajectory models and examined their associations with the risk of obesity with multiple Cox regression models. We found four multi-trajectories in rural areas: balanced macronutrient intake (BM), moderate protein, increasing low fat, and decreasing high carbohydrate (MP&ILF&DHC); decreasing moderate protein, decreasing high fat, and increasing moderate carbohydrate (DMP&DHF&IMC); increasing moderate protein, increasing high fat, and decreasing low carbohydrate (IMP&IHF&DLC)-35.1%, 21.3%, 20.1%, and 23.5% of our rural participant population, respectively. Compared with the BM trajectory, the hazard ratios of obesity in the DMP&DHF&IMC and the IMP&IHF&DLC groups were 0.50 (95% confidence interval (CI): 0.27-0.95) and 0.48 (95% CI: 0.28-0.83), respectively, in rural participants. Relatively low carbohydrate and high fat intakes with complementary dynamic trends are associated with a lower risk of obesity in rural Chinese adults.

Indexed as

EatingAdultAgedChinaDietFemaleHumansMaleMiddle AgedNutrientsNutritional StatusNutrition SurveysObesityProportional Hazards ModelsProspective StudiesRisk FactorsNutrientsChinamacronutrientmulti-trajectoriesobesityprospective study

Identifiers

PMID35010888
PMCPMC8746800
OpenAlexW4200328976

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.