Evidence map›Paper›PMID 37844993›Full record

ArticleBMJ open2023

Association of socioeconomic status with metabolic syndrome and its components among adult population: a community-based cross-sectional study in Nanjing Municipality of China.

Qing Ye, Zhenglin Wang, Tianrui Deng, Qinglin Lou, Haidi Wu, Wei Tang, Fei Xu

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Qing Ye *Department of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.ORCID 0009-0009-7495-9680
Zhenglin Wang *Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Tianrui DengDept. of Epidemiology, Nanjing Medical University School of Public Health, Nanjing, Jiangsu, China.
Qinglin LouGeriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Haidi WuGeriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Wei TangGeriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu, China drtangwei@njmu.edu.cn frankxufei@163.com.
Fei XuDept. of Epidemiology, Nanjing Medical University School of Public Health, Nanjing, Jiangsu, China drtangwei@njmu.edu.cn frankxufei@163.com.ORCID 0000-0003-1785-3635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the association of metabolic syndrome (MetS) and its components with socioeconomic status (SES) among general and gender-specific adult population in Nanjing municipality, China.

designCross-sectional study.

participants13287 participants completed the survey. A participant: (1) must be a local registered resident, (2) aged 18+ years, (3) had no literal or physical/mental problems and (4) was not pregnant. STUDY MEASURES: MetS was the outcome variable, which was defined based on the diagnostic criteria released by the Chinese Diabetes Society. SES was the main explanatory measure, which was indicated with educational attainment and family average income (FAI), separately.

resultsThe prevalence of MetS was 19.7% (95% CI=19.0% to 20.4%) among overall participants, and 24.6% (95% CI=23.5% to 25.6%) and 15.5% (95% CI=14.7% to 16.4%) for men and women, respectively. After controlling for potential confounders, participants with either college level (OR=0.51, 95% CI=0.43 to 0.60) or high school level education (OR=0.78, 95% CI=0.70 to 0.90) were at lower odds to experience MetS compared with those with primary education, while only those within upper FAI tertile were at significantly lower risk of MetS relative to their counterparts within lower FAI category (OR=0.85, 95% CI=0.76 to 0.97) among overall participants. Meanwhile, with respect to the five components of MetS, higher educational level predicted lower waist circumference (WC), triglycerides, systolic blood pressure (SBP) and diastolic blood pressure (DBP) and fasting glucose concentration among all participants. And higher FAI was associated with lower WC and SBP and DBP in women, and with lower SBP and DBP in men.

conclusionsEducation and FAI each were inversely associated with MetS and its components at the present stage of economic development in Nanjing Municipality of China. It has important public health implications that the tailored prevention strategies for MetS should be put into consideration of the intervention of MetS components and subgroups of people with different SES.

Indexed as

Metabolic SyndromeAdultChinaCross-Sectional StudiesFemaleHumansMalePregnancyPrevalenceRisk FactorsSocial Classepidemiologypublic healthrisk factors

Identifiers

PMID37844993
PMCPMC10582845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.