Evidence map›Paper›PMID 36364805›Full record

ArticleNutrients2022

The Role of Dietary Patterns and Dietary Quality on Body Composition of Adolescents in Chinese College.

Hongrui Li, Dajun Li, Xianyun Wang, Huini Ding, Qinghua Wu, Haojun Li, Xuan Wang, Kaifeng Li, Rong Xiao, Kang Yu and 1 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Associations Between Dietary Diversity Score and Adiposity Indexes in Obese AdolescentsJournal of clinical research in pediatric endocrinology · 2026
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  6. The Association Between Chronotype and Weight Change Among Medical Students: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
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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

11 authors at 2 institutions in 1 country.

Hongrui LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Dajun LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Xianyun WangBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Huini DingBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Qinghua WuBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Haojun LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Xuan WangBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Kaifeng LiResearch Institute, Heilongjiang Feihe Dairy Co., Ltd. C-16, 10A Jiuxianqiao Rd., Chaoyang, Beijing 100015, China.
Rong XiaoBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Kang YuDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0002-6939-7275
Yuandi XiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-7430-8230
Capital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Key Laboratory of Trace Element and Nutrition, National Health Commission of China WLKFZ202201National Natural Science Foundation of China 81973018National Natural Science Foundation of China 82003459National Natural Science Foundation of China 82273620Nutrition Research Foundation Fund of the Chinese Nutrition Society -Yum Brands Health Fund CNS-YUM2020-98
6 · The paper itself

Abstract

There is limited evidence regarding the effects of dietary pattern and dietary quality on the risk of unhealthy weight status and related body composition in Chinese adolescence. In particular, studies using bioelectrical impedance analyzer (BIA) in these subjects are rare. The aim of this study was to evaluate the role of diet in body composition, to find a healthy dietary pattern for Chinese youth, and to promote the application of BIA among this population. A total of 498 participants aged from 18 to 22 years old were included. Dietary patterns were identified by principal components analysis. Energy-adjusted dietary inflammatory index (DII) and diet balance index (DBI) were calculated based on semi-quantitative food frequency questionnaire. Multivariate linear regression and logistic regression analysis were used to examine the relationship of dietary patterns, dietary quality with body mass index (BMI), fat mass index (FMI), fat-free mass index (FFMI), and the effect of dietary factors on BMI levels. The majority of participants with overweight and obesity had abdominal obesity, and there was 3.7% abdominal obesity in normal BMI individuals. Four dietary patterns were detected in the subjects. The pattern with the higher energy intake, which was close to the Western diet, was positively correlated with BMI (β = 0.326, p = 0.018) and FMI (β = 0.201, p = 0.043), while being negatively correlated with FFMI (β = −0.183, p = 0.021). Individuals who followed the pattern similar to the Mediterranean diet had a higher basal metabolic rate (BMR), and the highest fat free mass, soft lean mass, and skeletal muscle mass (p < 0.05) but the lowest FMI, visceral fat area (VFA), waist−hip ratio, and FMI/FFMI ratio (p < 0.05). Higher energy-adjusted DII was associated with high BMI. Higher bound score (HBS) (β = −0.018, p = 0.010) and diet quality distance (DQD) (β = −0.012, p = 0.015) were both negatively correlated with FFMI. In conclusion, fat or muscle indexes, such as BMR, FMI, and FFMI, had an important role in predicting overweight and obesity, which suggested the importance of applying BIA among Chinese college students. Students who followed healthful dietary patterns or the high-quality diet that is similar to the Mediterranean diet but not close to the Western diet were more likely to have a healthy BMI and normal body composition.

Indexed as

Obesity, AbdominalOverweightAdolescentAdultBody CompositionBody Mass IndexChinaDietHumansObesityYoung Adultbasal metabolic ratebioelectrical impedance analyzerbody mass indexdietary inflammatory indexdietary patterndiet balance indexfat-free mass indexfat mass index

Identifiers

PMID36364805
PMCPMC9654524
OpenAlexW4307944960

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.