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Association of meal frequency with metabolic syndrome in Korean adults: from the Korea National Health and Nutrition Examination Survey (KNHANES)

Overview of attention for article published in Diabetology & Metabolic Syndrome, October 2017
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Title
Association of meal frequency with metabolic syndrome in Korean adults: from the Korea National Health and Nutrition Examination Survey (KNHANES)
Published in
Diabetology & Metabolic Syndrome, October 2017
DOI 10.1186/s13098-017-0277-2
Pubmed ID
Authors

Chan-Hee Jung, Ji Sung Lee, Hee Jung Ahn, Jin-Sun Choi, Min Young Noh, Ji Jeung Lee, Eun Young Lee, Jeong Hyun Lim, Young Ran Lee, So Yoon Yoon, Chong Hwa Kim, Dong-Hyeok Cho, Young Sik Choi, Kyung Mook Choi

Abstract

Although previous studies have established a close relationship between caloric intake and metabolic syndrome, there is limited research exploring the impact of meal frequency adjusted by caloric intake on metabolic syndrome (MetS). To evaluate the association of meal frequency and MetS after adjusting for confounding factors including caloric intake in Korean men and women. We analyzed the national representative data of a total 12,389 adults (5171 men, 7218 women) from the Korean National Health and Nutrition Examination Survey (KNHANES) 2010-2012. Subjects were categorized as eating 3 meals/day (MF3) or 2 or fewer meals/day (MF ≤ 2). Daily caloric intake was calculated using CAN-Pro 4.0 (The Korean Nutrition Society, Seoul, Korea). The prevalence of components of MetS differed significantly according to meal frequency in both men and women. In an unadjusted analysis, the prevalence of MetS in women was significantly higher in the MF3 group than the MF ≤ 2 group (27.5% vs. 17.8%, P < 0.001), whereas the prevalence of MetS in men did not differ between the MF3 and MF ≤ 2 groups (24.6% vs. 22.7%, P = 0.281). However, after adjusting for age, caloric intake, smoking status, alcohol consumption, physical activity, income, and education level, men in the MF ≤ 2 group had an increased risk of metabolic syndrome compared to men in the MF3 group (OR = 1.37, 95%, CI = 1.12-1.67). On the other hand, meal frequency did not affect the risk of metabolic syndrome in women after adjusting for confounding factors including caloric intake (OR = 1.09, 95%, CI = 0.90-1.31). This study suggests that lower meal frequency adjusted for caloric intake, physical activity, age, smoking, alcohol, income, and education may be associated with increased risk of MetS in Korean men.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 11%
Student > Bachelor 4 11%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Student > Postgraduate 2 5%
Other 6 16%
Unknown 16 42%
Readers by discipline Count As %
Nursing and Health Professions 9 24%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Other 2 5%
Unknown 17 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 October 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from Diabetology & Metabolic Syndrome
#440
of 675 outputs
Outputs of similar age
#231,058
of 323,064 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#9
of 9 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 675 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.