ArticleJournal of Korean medical science2018
Trends and Cut-Point Changes in Obesity Parameters by Age Groups Considering Metabolic Syndrome.
Article in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association between Body Mass Index and Early Renal Function after Kidney Transplantation: Observational and Mendelian Randomization Study.Obesity facts · 2024Observational
- Metabolic indexes of obesity in patients with common mental disorders in stable stage.BMC psychiatry · 2022Article
- The incidence and survival of cervical, ovarian, and endometrial cancer in Korea, 1999-2017: Korea Central Cancer Registry.Obstetrics & gynecology science · 2021Article
- The Role of Different Indexes of Adiposity and Body Composition for the Identification of Metabolic Syndrome in Women with Obesity.Journal of clinical medicine · 2021Article
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7 authors.
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Abstract
backgroundNon-communicable diseases (NCDs) are an important issue worldwide. Obesity has a close relationship with NCDs. Various age-related changes should be considered when evaluating obesity.
methodsNational representative cohort data from the National Health Insurance Service National Sample Cohort from 2012 to 2013 were used. Sex-specific and age group-specific (10-year intervals) means for body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WtHR) were calculated. Optimal cut-points for obesity parameters were defined as the value predicting two or more components of metabolic syndrome (except WC).
resultsThe mean value and optimal cut-point for BMI decreased with age for men. The mean BMI value for women increased with age, but optimal cut-points showed no remarkable difference. The mean WC of men increased with age, but the optimal cut-points were similar for age groups. For women, the mean value and optimal cut-point for WC increased with age. Regarding WtHR, the mean value and optimal cut-point increased with age for men and women. Differences across age groups were larger for women.
conclusionThe mean values of the obesity indices and the optimal cut-points were changed according to age groups. This study supports the necessity of applying age group-specific cut-points for the various obesity parameters.
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