Evidence map›Paper›PMID 26993260›Full record

ArticleLipids in health and disease2016

Exploratory serum fatty acid patterns associated with blood pressure in community-dwelling middle-aged and elderly Chinese.

Bo Yang, Fang Ding, Jing Yan, Xiong-Wei Ye, Xiao-Lin Xu, Feng-Lei Wang, Duo Li, Wei Yu

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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 at 2 institutions in 1 country.

Bo YangDepartment of Food Science and Nutrition, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Fang DingThe Province Center for Cardio-Cerebral-Vascular Disease, Zhejiang Hospital, 12 Linyin Road, Hangzhou, 310013, China.
Jing YanThe Province Center for Cardio-Cerebral-Vascular Disease, Zhejiang Hospital, 12 Linyin Road, Hangzhou, 310013, China.
Xiong-Wei YeThe Province Center for Cardio-Cerebral-Vascular Disease, Zhejiang Hospital, 12 Linyin Road, Hangzhou, 310013, China.
Xiao-Lin XuThe Province Center for Cardio-Cerebral-Vascular Disease, Zhejiang Hospital, 12 Linyin Road, Hangzhou, 310013, China.
Feng-Lei WangDepartment of Food Science and Nutrition, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Duo LiDepartment of Food Science and Nutrition, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China. duoli@zju.edu.cn.
Wei YuThe Province Center for Cardio-Cerebral-Vascular Disease, Zhejiang Hospital, 12 Linyin Road, Hangzhou, 310013, China. yuweipost@163.com.
Zhejiang Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological studies have assessed relationships between circulating levels of fatty acid (FA) and blood pressure (BP), and their results remain controversial. Nevertheless, data are sparse on serum FA as biomarker and BP in China. The aim of the study was to investigate the association between serum FA and BP in Chinese populations.

methodsWe conducted a cross-sectional study nested within a community-based cohort of 2447 Chinese participants aged 35-79 years who completed a baseline assessment between October 2012 and April 2013. Baseline assessment included the collection of fasting blood samples, anthropometric measurements and a personal interview using a validated questionnaire. Serum FA was determined by gas-liquid chromatography. Exploratory factor analyses were employed to identify FA-factor as a reflection of serum FA pattern. A multiple regression model was conducted to estimate adjusted mean of BP with 95% confidence interval (CI) by tertile groups of the generated FA-factor scores.

resultsHypertensive patients have significantly higher serum 14:0, 16:0, 16:1n-7, 18:3n-6, 20:3n-6 and Δ(6)-desaturase index (18:3n-6/18:2n-6) as well as lower 18:2n-6, 22:6n-3 and Δ(5)-desaturase index (20:4n-6/20:3n-6) compared with normotensive participants. Factor 1 (low linoleic acid/high saturated FA pattern: 14:0, 16:0, 16:1n-7, 18:2n-6, 18:3n-6, 20:3n-6) and Factor 2 (n-3 PUFA pattern: 20:5n-3, 22:5n-3, 22:6n-3, 18:1n-9) were identified as indicators of the serum FA pattern. After adjustment for age, gender, body mass index, hypertension treatment, smoking, alcohol intake, education, profession, exercise habit, salt intake, family history of hypertension, heart rate, blood lipids and fasting blood-glucose levels, per a standard deviation (SD) increment of Factor 1 scores was associated with an increment of 2.44 (95% CI: 1.73, 3.15) mm Hg for systolic BP, whereas per a SD increment of Factor 2 scores was associated with a reduction of 1.40 (95% CI: 0.80, 2.04) mm Hg for diastolic BP.

conclusionsThe serum FA pattern characterized by low proportions of 14:0, 16:0, 16:1n-7 and 18:3n-6 as well as high 18:2n-6 and 22:6n-3 was beneficially associated with BP levels in this Chinese population. This evidence well supports the current dietary recommendations in the communities to replace saturated fat with polyunsaturated fat.

Indexed as

AdultAgedAsian PeopleBiomarkersBlood PressureChinaCross-Sectional StudiesFatty AcidsFemaleHumansHypertensionMaleMiddle AgedResidence CharacteristicsSocioeconomic FactorsBiomarkersFatty AcidsBlood pressureFactor analysisFatty acidHypertension

Identifiers

PMID26993260
PMCPMC4797152
OpenAlexW2301021585

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.