Evidence map›Paper›PMID 29678174›Full record

ArticleLipids in health and disease2018

Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study.

Boren Jiang, Yanjun Zheng, Yingchao Chen, Yi Chen, Qin Li, Chunfang Zhu, Ningjian Wang, Bing Han, Hualing Zhai, Dongping Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 55 citations in OpenAlex.

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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 1 institution in 1 country.

Boren JiangDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Yanjun ZhengDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Yingchao ChenDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Yi ChenDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Qin LiDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Chunfang ZhuDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Ningjian WangDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Bing HanDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Hualing ZhaiDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Dongping LinDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China.
Yingli LuDepartment of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, 200011, China. luyingli2008@126.com.ORCID http://orcid.org/0000-0002-5117-1614
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChinese population are experiencing remarkably changes of economic and cultural environments. The present study was to examine the prevalence of metabolic syndrome (MetS) by age between genders and to investigate the current characteristics of MetS and its components in China.

methodsSPECT-China is a population-based cross-sectional survey on Chinese adults aged ≥18 years in East China. A total of 10,441 Chinese residents participated in anthropometric and laboratory measurements. Of these, 9969 subjects (females, 5868) were eligible for the data analysis reported here. Estimates of the prevalence of MetS and its components were calculated. Presence of MetS was defined based on the IDF/AHA harmonized criteria. MetS z-score was calculated to evaluate the degree of total metabolic disorder.

resultsThe age-standardized prevalence of the metabolic syndrome was 22.0% (21.9% in men and 22.0% in women). Unlike the continuous MetS rise with age in females, the MetS prevalence in males remained stable among 46-55, 56-65 and > 65 yrs. age groups (31.2%, 31.4%, 32.5%, p = 0.538). In the five components of MetS, contrary to the elevated BP and BG disorders, the frequency of TG disorders decreased with age in males (46.6%(46-55 yrs), 37.2% (56-65 yrs), 27.7%(> 65 yrs), p < 0.001). Multivariable logistic regression showed that in males, more TG disorders were associated with higher BMI, higher educational level and current nonsmoker. In the MetS subjects, the 3-factor combinations which included TG disorders decreased with age in both genders. The whole metabolic profile became better in older male MetS subjects, which was opposite to the female.

conclusionOur results showed a distinct age-related prevalence of MetS between genders in dramatically changed China, in which the TG disorders played an important role. More targeted measures need to be taken to meet the serious challenges of metabolic diseases.

trial registrationChiCTR-ECS- 14005052 , Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (SPECT-China).

Indexed as

AdultAgedAnthropometryBlood GlucoseBlood PressureBody Mass IndexChinaCholesterol, HDLCross-Sectional StudiesFemaleHumansHypertriglyceridemiaLogistic ModelsMaleMetabolic SyndromeMiddle AgedBlood GlucoseCholesterol, HDLTriglyceridesChineseCross-sectional designGenderHypertriglyceridemiaMetabolic syndrome

Identifiers

PMID29678174
PMCPMC5910574
OpenAlexW2800213512

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.