ArticleScientific reports2017
Prevalence of Metabolic Syndrome and its Associated Factors among Multi-ethnic Adults in Rural Areas in Xinjiang, China.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dairy Consumption and Risk of Metabolic Syndrome: Results from Korean Population and Meta-Analysis.Nutrients · 2021Pooled it
- Fruit and vegetable consumption and metabolic syndrome in Chinese adults: a cross-sectional study.Frontiers in nutrition · 2026Article
- The epidemiological features of and correlation between central obesity and major cardiometabolic disease clustering among middle-aged and elderly residents in Xinjiang.BMC public health · 2025Article
- Rural, urban and suburban differences in the prevalence of metabolic syndrome in individuals aged ≥50 years in Northwest China.Frontiers in public health · 2025Article
- Cardiometabolic Profile in Young Adults With Diverse Cigarette Smoking Histories: A Longitudinal Study From Adolescence.Journal of the American Heart Association · 2024Article
- Joint association of physical activity and diet quality with dyslipidemia: a cross-sectional study in Western China.Lipids in health and disease · 2024Article
- Prevalence and associated risk factors of dry eye disease in Hotan, Xinjiang: a cross-sectional study.BMC ophthalmology · 2023Article
- Cigarette smoking and PMFrontiers in public health · 2023Article
- Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study.BMC endocrine disorders · 2022Article
- Association of PMInternational journal of environmental research and public health · 2022Article
- Cohort profile: The Xinjiang Multiethnic Cohort (XMC) study.BMJ open · 2022Article
- Gender discrepancies in predictors for newly onset cardiovascular events and metabolic syndrome in elderly patients from rural China.Frontiers in cardiovascular medicine · 2022Article
- Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study.BMC public health · 2021Article
- Predictive Value of Homeostasis Model Assessment of Insulin Resistance, Visceral Fat Index, and Prepregnancy Body Mass Index in Gestational Metabolic Syndrome.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Phenolic Bioactives From Plant-Based Foods for Glycemic Control.Frontiers in endocrinology · 2021Review
- Prevalence and determinants of metabolic syndrome based on three definitions in rural northeast China.Public health nutrition · 2020Article
- Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area.Medicine · 2020Article
- Associations of unhealthy lifestyles with metabolic syndrome in Chinese rural aged females.Scientific reports · 2020Article
- Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic syndrome (MetS) has become a global public health problem affecting all nations and races. Few studies on the epidemic of metabolic syndrome (MetS) examined multi-ethnic adults in rural areas in Xinjiang, China. We thus investigated the prevalence and risk factors of MetS there. A cross-sectional study was performed in a representative sample of 15020 rural multi-ethnic adults from 2009 to 2010. Four widely used criteria (ATPIII\IDF\JIS\CDS) were used to measure the prevalence of MetS. Multiple logistic regression analysis was used to explore the risk factors of MetS. The age-adjusted prevalence of MetS was 14.43%, 21.33%, 26.50%, and 19.89% based on the ATP III, IDF, JIS and CDS criterion, respectively. The prevalence of MetS was higher in women and increased with age. According to JIS criterion, the prevalence of components in MetS was 57.75% for abdominal obesity, 44.05% for elevated blood pressure, 40.98% for reduced HDL-cholesterol, 23.33% for elevated triglycerides, 18.95% for raised fasting plasma glucose. Lower consumption of vegetables, milk, and higher consumption of red meat were associated with higher likelihood of having MetS. The prevalence of MetS in Xinjiang rural multi-ethnic adults was high. Diet factors were associated with the prevalence of MetS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.