Evidence map›Paper›PMID 33643947›Full record

ArticleIranian journal of public health2020

Incidence Rates of Disability and Its Associated Factors among Korean Community-Dwelling Older Adults.

Seonho Kim, Myoungsuk Kim, Dallong Han

Abstract read
In one paragraph

Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

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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, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. The Impact of Population Ageing: A Review.Iranian journal of public health · 2021
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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

3 authors.

Seonho KimDepartment of Nursing Science, College of Medicine, Chungbuk National University, Cheongju-Si, Republic of Korea.
Myoungsuk KimCollege of Nursing, Kangwon National University, Chuncheon-Si, Republic of Korea.
Dallong HanDepartment of Nursing, College of Health & Medical Sciences, Cheongju University, Cheongju-Si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to identify incidence rates of disability and its associated factors among Korean community-dwelling older adults.

methodsThe sample included 1,739 Koreans aged over 65 yr from the Korean Longitudinal Study of Aging (2006-2016) who reported no limitations in activities of daily living (ADL) or instrumental activities of daily living (IADL) at baseline (2006) and had complete data for other covariates. ADL, IADL, socio-demographic, lifestyle, and health-condition data were collected and analyzed using multiple logistic regression models.

resultsThe 10-yr incidence rates of ADL and IADL disability in subjects with no disability at baseline were 11.6% and 21.6%, respectively. After adjusting for socio-demographic, lifestyle, and health-condition factors, the incidence of ADL disability was higher in women (odds ratio [OR] =1.418, 95% confidence interval [CI]=1.102-2.613) and increased with age (OR=1.170, 95% CI=1.133-1.208), multi-morbidity (OR=1.194, 95% CI=1.015-1.406), and obesity (OR=1.563, 95% CI=1.057-2.311). It decreased in subjects living alone (OR=0.531, 95% CI=0.328-0.856). The incidence of IADL disability increased with age (OR=1.131, 95% CI=1.102-1.161), multi-morbidity (OR=1.199, 95% CI=1.054-1.365), and cognitive disability (OR=1.422, 95% CI=1.083-1.866) and decreased for subjects living alone (OR=0.484, 95% CI=0.328-0.715) and with overweight (OR=0.725, 95% CI=0.532-0.988).

conclusionIncidence rates of disability differed considerably based on socio-demographic, lifestyle, and health-condition factors. These results suggest the importance of identifying factors that can decrease the risk of disability in this group and of prevention efforts in populations with a higher disability risk.

Indexed as

DisabilityKoreaOlder adults

Identifiers

PMID33643947
PMCPMC7898091

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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.