Evidence map›Paper›PMID 35982627›Full record

ArticlePhysical activity and nutrition2022

Analysis of energy intakes, physical activities and metabolic syndrome according to the income level in Korean elderly people: Korean National Health and Nutrition Examination Survey 2016‒2018.

Eun-Sook Sung, Sijin Lee, Youngjun Lee, Seunghee Lee, Jonghoon Park

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Article in Physical activity and nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
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1 citing paper in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

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5 authors at 1 institution in 1 country.

Eun-Sook SungDepartment of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Sijin LeeDepartment of Physical Education of education college, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Youngjun LeeDepartment of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Seunghee LeeDepartment of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Jonghoon ParkDepartment of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Korea University · KR

Funding

Korea University
6 · The paper itself

Abstract

purposeTo determine the correlations of differences in the income level with the presence of metabolic syndrome (MetS), energy intake, and physical activity across Korean elderly populations.

methodsWe obtained data from 2,139 elderly individuals (aged >65 years) based on the Korea National Health and Nutrition Examination Survey (KNHANES) (2016‒2018). We analyzed the levels of physical activity (PA) and energy intake using the survey data. Moreover, we analyzed the differences in energy intake and PA levels according to the income level and MetS.

resultsCompared with the non-MetS group, the MetS group displayed significantly higher levels of waist circumference (p=0.000), triglycerides (p=0.000), systolic blood pressure (p=0.000), diastolic blood pressure (p=0.016), and fasting blood glucose (p=0.000) for both high and low income levels. However, the level of high-density lipoprotein cholesterol was significantly lower in the MetS group than that in the non-MetS group (p=0.000). The level of smoking in non-MetS men was significantly higher than that in MetS men across all participants (p=0.047). Except carbohydrate intake, the total energy intake (p=0.022), fat intake (p=0.009), and protein intake (p=0.005) were significantly lower in the MetS group than those in the non-MetS group for high income levels. We obtained similar results for low income levels. The two-way analysis of variance (ANOVA) did not identify an interaction between the income level and the presence of MetS; however, the total energy, i.e., the level of total energy intake, was significantly lower in participants with low income levels than in those with high income levels. For high income levels, transport PA (p=0.002), vigorous recreational PA (p=0.001), moderate recreational PA (p=0.001), and total PA (p=0.000) were significantly lower in the MetS group than those in the non-MetS group. For low income levels, moderate occupational PA (p=0.012), transport PA (p=0.018), and total PA ((p=0.000) were significantly lower in the MetS group than those in the non-MetS group. The total PA, i.e., the level of energy consumption, was significantly lower in the elderly with low income levels than in those with high income levels.

conclusionRegardless of the income level, the elderly with MetS exhibited low levels of energy intake and PA, compared with those without MetS. In addition, regardless of the presence of MetS, the elderly with low income levels exhibited lesser energy intake and PA. These findings implied the need for balanced nutrient intake and increased participation in PA as well as education and program development to prevent MetS in the elderly.

Indexed as

elderlyenergy intakeincome levelmetabolic syndromephysical activity

Identifiers

PMID35982627
PMCPMC9395252
OpenAlexW4288494303

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LicenceCC BY-NC
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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.