Evidence map›Paper›PMID 30444893›Full record

ArticlePloS one2018

Association between body mass index and mortality in the Korean elderly: A nationwide cohort study.

Seung-Hyun Lee, Do-Hoon Kim, Joo-Hyun Park, Shinhye Kim, Moonyoung Choi, Hyonchong Kim, Da Eun Seul, Soo Gyeong Park, Jin-Hyung Jung, Kyungdo Han and 1 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Dietary recommendations for patients with dementia.Alzheimer's & dementia (New York, N. Y.) · 2020
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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

11 authors.

Seung-Hyun LeeDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Do-Hoon KimDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-7421-4501
Joo-Hyun ParkDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Shinhye KimDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Moonyoung ChoiDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Hyonchong KimDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Da Eun SeulDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Soo Gyeong ParkDepartment of Family Medicine, Korea University, College of Medicine, Seoul, Republic of Korea.
Jin-Hyung JungDepartment of Biostatistics, Catholic University College of Medicine, Seoul, Republic of Korea.
Kyungdo HanDepartment of Biostatistics, Catholic University College of Medicine, Seoul, Republic of Korea.
Young-Gyu ParkDepartment of Biostatistics, Catholic University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate the relationship between body mass index (BMI) and mortality in the elderly. This study was a nation-wide population-based retrospective cohort study of the National Health Insurance System-Senior Database (NHIS-SD). In this study, a total of 75,856 subjects were identified and selected from among 251,593 individuals aged ≥ 65 years who underwent health screening at least once between 2009 and 2012 and who had no history of diabetes, cardiovascular disease, stroke, cancer, or chronic obstructive pulmonary disease (COPD). The subjects of this study were followed-up until 2013 to identify the total mortality and the cause-specific mortality of 6 groups divided according to BMI. The hazard ratio (HR) by reference group (23 ≤ BMI < 25 kg/m2) of each group was calculated. A significant increase in the HR with a decreased BMI was observed in the group with a BMI < 23 kg/m2, whereas the HR in the group with a BMI ≥ 25 kg/m2 was not significantly different than that of the reference group (23 ≤ BMI < 25 kg/m2). This pattern was also seen in the subgroup analyses in relation to age, smoking history, alcohol use, exercise level, and socioeconomic status. In this study, we found that a low BMI was a risk factor for death in the elderly and that no significant difference in mortality was seen in the elderly with a BMI of 25 or over. In terms of an optimal BMI in the elderly, it is important to maintain an appropriately healthy range of BMI with the aim of preventing weight loss.

Indexed as

Body Mass IndexDatabases, FactualMortalityAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleRepublic of KoreaRetrospective StudiesRisk Factors

Identifiers

PMID30444893
PMCPMC6239300

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Registered trials

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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.