Evidence map›Paper›PMID 35360520›Full record

ArticleBioMed research international2022

Analysis of Dietary Supplement Use and Influencing Factors in the Mongolian Population.

Zhidi Wang, Wuyun Tana Li, Yumin Gao, Xin Xue, Hui Pang, Wenli Hao, Yuan Xia, Shiqi Wang, Xiong Su, Lingyan Zhao and 1 more

Abstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Zhidi WangInner Mongolia Medical University, Hohhot, China.
Wuyun Tana LiInner Mongolia Medical University, Hohhot, China.
Yumin GaoInner Mongolia Medical University, Hohhot, China.
Xin XueInner Mongolia Medical University, Hohhot, China.
Hui PangInner Mongolia Medical University, Hohhot, China.
Wenli HaoInner Mongolia Medical University, Hohhot, China.
Yuan XiaInner Mongolia Medical University, Hohhot, China.
Shiqi WangInner Mongolia Medical University, Hohhot, China.
Xiong SuInner Mongolia Medical University, Hohhot, China.
Lingyan ZhaoInner Mongolia Medical University, Hohhot, China.ORCID https://orcid.org/0000-0002-5259-3720
Minhui LiInner Mongolia Medical University, Hohhot, China.ORCID https://orcid.org/0000-0002-5366-8464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Dietary supplements (DS) may improve micronutrient deficiencies, but the unique eating habits and cultural customs of the Chinese Mongolian population affect their choice of DS. Therefore, this study adopted a cross-sectional method to explore the current status of DS use and to assess the influencing factors in the Mongolian population in Inner Mongolia, China. Methods: We used a multistage random cluster sampling method to select 1,434 Mongolian people aged ≥ 18 years in Hohhot and Xilinhot, Inner Mongolia. Data regarding general patient characteristics and DS use through questionnaire surveys were obtained, and the blood plasma was collected for biochemical index detection. The binary logistic regression and decision tree algorithm were used to predict the factors influencing DS use among the Mongolian population. Results: Among 1,434 participants that completed the baseline survey, the usage rate of DS was 18.83%, and more women than men used DS ( Conclusion: Findings from this study indicate that DS intake is uncommon in the Mongolian population. In addition, sex, region, education level, and triglyceride levels may influence DS use.

Indexed as

Asian PeopleDietary SupplementsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleTriglyceridesTriglycerides

Identifiers

PMID35360520
PMCPMC8964158

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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.