Evidence map›Paper›PMID 37789655›Full record

ArticleAsia Pacific journal of clinical nutrition2023

Association of socioeconomic factors and dietary intake with sarcopenic obesity in the Korean older population.

Won Jang, Hyesook Kim

Abstract read
In one paragraph

Article in Asia Pacific journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Won JangDepartment of Food and Nutrition, Wonkwang University, Iksan, Korea.
Hyesook KimDepartment of Food and Nutrition, Wonkwang University, Iksan, Korea. hskim81@wku.ac.kr.

Funding

Korea Disease Control and Prevention Agency ISSN 2733-5488
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThis study investigated the relationship between socioeconomic factors, dietary intake, and sarcopenic obesity among older adults in Korea. METHODS AND STUDY

designData from the seventh Korean National Health and Nutrition Examination Survey (2016-2018) were analyzed. The study included 3,690 participants (1,645 men and 2,045 women) aged 65 years and older. Sarcopenic obesity was defined as the coexistence of low muscle strength (handgrip strength <28 kg in men and <18 kg in women) and abdominal obesity (waist circumference >90 cm in men and >85 cm in women). Socioeconomic factors assessed included age, living status, residential area, employment, education, and family income level. Dietary intake was evaluated using the nutrient adequacy ratio and mean adequacy ratio derived from 24-h dietary recall data. Multiple logistic regression was used to identify factors associated with sarcopenic obesity.

resultsThe prevalence rates of sarcopenic obesity were 6.5% in men and 17.4% in women. Low education levels were significantly associated with a higher prevalence of sarcopenic obesity in women, whereas lower family income levels were associated with an increased risk of sarcopenic obesity in men. In women, a lower mean adequacy ratio was significantly associated with a higher risk of sarcopenic obesity.

conclusionsLower family income and education level are associated with a higher prevalence of sarcopenic obesity. Ad-ditionally, overall nutritional adequacy is inversely related to the prevalence of sarcopenic obesity, particularly in women.

Indexed as

SarcopeniaAgedEatingEducational StatusFemaleHand StrengthHumansMaleNutrition SurveysObesityRepublic of KoreaMARnutritionolder adultssarcopenic obesitysocioeconomic status

Identifiers

PMID37789655
PMCPMC11090395

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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.