Evidence map›Paper›PMID 26393646›Full record

ArticleNutrients2015

Association between Dietary Patterns and the Indicators of Obesity among Chinese: A Cross-Sectional Study.

Long Shu, Pei-Fen Zheng, Xiao-Yan Zhang, Cai-Juan Si, Xiao-Long Yu, Wei Gao, Lun Zhang, Dan Liao

Abstract readComparative Study
In one paragraph

Article in Nutrients, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
–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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Long ShuDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. shulong19880920@126.com.
Pei-Fen ZhengDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. kuaidou09@163.com.
Xiao-Yan ZhangDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. zxy19740804@sina.com.
Cai-Juan SiDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. xiaosi_32075001@126.com.
Xiao-Long YuDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. xly2008hi@163.com.
Wei GaoDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. gaowei05715133@163.com.
Lun ZhangDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. zhanglun306@163.com.
Dan LiaoDepartment of Nutrition, Zhejiang Hospital, Xihu district, Hangzhou 310013, Zhejiang, China. liaodan0203@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledNo previous study has investigated dietary pattern in association with obesity risk in a middle-aged Chinese population. The purpose of this study was to evaluate the associations between dietary patterns and the risk of obesity in the city of Hangzhou, the capital of Zhejiang Province, east China. In this cross-sectional study of 2560 subjects aged 45-60 years, dietary intakes were evaluated using a semi-quantitative food frequency questionnaire (FFQ). All anthropometric measurements were obtained using standardized procedures. The partial correlation analysis was performed to assess the associations between dietary patterns and body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR). Multivariate logistic regression analysis was used to examine the associations between dietary patterns and obesity, with adjustment for potential confounders. Four major dietary patterns were extracted by means of factor analysis: animal food, traditional Chinese, western fast-food, and high-salt patterns. The animal food pattern was positively associated with BMI (r = 0.082, 0.144, respectively, p < 0.05) and WC (r = 0.102, 0.132, respectively, p < 0.01), and the traditional Chinese pattern was inversely associated with BMI (r = -0.047, -0.116, respectively, p < 0.05) and WC (r = -0.067, -0.113, respectively, p < 0.05) in both genders. After controlling for potential confounders, subjects in the highest quartile of animal food pattern scores had a greater odds ratio for abdominal obesity (odds ratio (OR) = 1.67; 95% confidence interval (CI): 1.188-2.340; p < 0.01), in comparison to those from the lowest quartile. Compared with the lowest quartile of the traditional Chinese pattern, the highest quartile had a lower odds ratio for abdominal obesity (OR = 0.63; 95% CI: 0.441-0.901, p < 0.05).

conclusionsOur findings indicated that the animal food pattern was associated with a higher risk of abdominal obesity, while the traditional Chinese pattern was associated with a lower risk of abdominal obesity. Further prospective studies are warranted to confirm these findings.

Indexed as

Asian PeopleAge FactorsBody Mass IndexChinaChi-Square DistributionCross-Sectional StudiesDietFeeding BehaviorFemaleHumansLogistic ModelsMaleMeatMiddle AgedMultivariate AnalysisObesity, AbdominalChinacross-sectional studydietary patternsfactor analysisobesity

Identifiers

PMID26393646
PMCPMC4586571

What OpenQuestion 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 OpenQuestion graph.