Evidence map›Paper›PMID 40771505›Full record

ArticleBMJ nutrition, prevention & health2025

Dietary habits and complex food relations in Northwest China: a population-based network analysis.

Jing Hui, Samuel Chacha, Huang Yan, Zongkai Li, Jiaxin Cai, Baibing Mi, Jianghong Dai, Yuhong Zhang, Xinhua Wang, Fuchang Ma and 4 more

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 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

14 authors.

Jing HuiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-6422-7410
Samuel ChachaDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Huang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.ORCID https://orcid.org/0009-0001-2051-854X
Zongkai LiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Jiaxin CaiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Baibing MiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Jianghong DaiDepartment of Epidemiology and Biostatistics, Xinjiang Medical University, Urumqi, Xinjiang, China.
Yuhong ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.ORCID https://orcid.org/0000-0002-7110-8401
Xinhua WangDepartment of Environmental and Occupational Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Fuchang MaDepartment of Chronic Noncommunicable Disease Control and Prevention, Qinghai Center of Disease Prevention and Control, Xining, Qinghai, China.
Yijun KangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Duolao WangDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Hong YanDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Shaonong DangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study examines dietary network in Northwest China, focusing on food group consumption and regional trends using network analysis. Methods: Data from 106 424 participants in the Regional Ethnic Cohort Study were calculated using a semiquantitative food frequency questionnaire. We compared intake with the 2022 Chinese Dietary Guidelines and employed the EBICglasso method to construct dietary and staple food-related network, assessing its stability and accuracy. Results: Northwest China's staple food intake was 37.5% of total consumption, dominated by wheat. Compared with the Chinese dietary guidelines, participants' intake of staple foods, soybeans and nuts was within the acceptable range, with insufficient intake of whole grains and beans, animal source of foods, eggs, fruits and vegetables but excessive intake of salt. Intake varied by province, sex and age. In overall participants, the strongest correlations were found between the two food groups, namely fruits and vegetables (0.33), and animal source of foods and dairy products (0.24) in dietary network. Soybeans and nuts appeared to connect to more other foods and also higher correlation with other foods and were followed by animal source of food. The staple food-related food network indicated that the intake of rice, whole grains and beans, and potatoes was positively correlated with the intake of most other foods, while intake of wheat was negatively correlated with foods of animal source of food, milk and dairy products. Conclusions: Northwest China's diet exhibits irrational patterns, highlighting the importance of assessing overall dietary patterns in nutritional evaluation.

Indexed as

Dietary patternsNutrient deficienciesNutrition assessment

Identifiers

PMID40771505
PMCPMC12322544

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