ArticleInternational journal of environmental research and public health2020
Factors Associated with Metabolic Syndrome among Middle-Aged Women in their 50s: Based on National Health Screening Data.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 14 citations in OpenAlex.
- Nutritional education interventions on the components of metabolic syndrome in the North-Western Bangladeshi adults.BMC nutrition · 2025Article
- Predictors of Metabolic Syndrome in Polish Women-The Role of Body Composition and Sociodemographic Factors.Journal of clinical medicine · 2025Article
- Association of Kidney Function With 10-Year Risk of Atherosclerotic Cardiovascular Disease, Cardiovascular Disease and Its Risk Factors Among Women With Type 2 Diabetes Mellitus.International journal of women's health · 2025Article
- Factors influencing metabolic syndrome in adult workers: an analysis of data from the 2022 Korea National Health and Nutrition Examination Survey.Journal of Korean biological nursing science · 2024Article
- The prevalence and clustering of metabolic syndrome risk components in Chinese population: a cross-sectional study.Frontiers in endocrinology · 2023Article
- Article
- Article
- Psychological Well-Being of Female-Headed Households Based on Age Stratification: A Nationwide Cross-Sectional Study in South Korea.International journal of environmental research and public health · 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
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify the risk factors associated with metabolic syndrome among middle-aged women in their 50s to provide a strategy for managing the metabolic syndrome of those whose prevalence is rapidly increasing. Secondary data from the 2012 Korean National Health Insurance Service Medical check-up cohort database were analyzed. Participants included 36,582 middle-aged women in their 50s from the cohort who received a general medical check-up. The risk factors were estimated using logistic regression analysis. Metabolic syndrome was identified in 14.6% of the surveyed persons among middle-aged women in their 50s. Working women, low household income levels, country residents, high body mass index (BMI), total cholesterol of over 240 mg/dl, non-drinker, non-exerciser, history of diabetes or hypertension, and family history of diabetes were associated with increased risk of metabolic syndrome. It is necessary to prepare a strategy to increase access to health care services so that socioeconomic vulnerability does not lead to negative health behavior such as obesity and lack of physical activity. In particular, we recommend active interventions at workplaces for the working women who have a higher risk of metabolic syndrome.
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.