Evidence map›Paper›PMID 34831575›Full record

ArticleInternational journal of environmental research and public health2021

Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults.

Myeounggon Lee, Yoonjae Noh, Changhong Youm, Sangjin Kim, Hwayoung Park, Byungjoo Noh, Bohyun Kim, Hyejin Choi, Hyemin Yoon

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Game of Mirrors: Health Profiles in Patient and Physician Perceptions.International journal of environmental research and public health · 2022
    Article
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

9 authors at 3 institutions in 2 countries.

Myeounggon LeeCenter for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, TX 77004, USA.ORCID 0000-0001-8546-5613
Yoonjae NohDepartment of Management Information Systems, Dong-A University, Busan 49236, Korea.
Changhong YoumDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0001-7574-5259
Sangjin KimDepartment of Management Information Systems, Dong-A University, Busan 49236, Korea.ORCID 0000-0003-2824-0850
Hwayoung ParkDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0002-4625-9021
Byungjoo NohDepartment of Kinesiology, Jeju National University, Jeju 63243, Korea.ORCID 0000-0002-6292-6189
Bohyun KimDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0003-0012-5615
Hyejin ChoiDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.
Hyemin YoonDepartment of Management Information Systems, Dong-A University, Busan 49236, Korea.
Dong-A University · KRJeju National University · KRUniversity of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elderly population in South Korea accounted for 15.5% of the total population in 2019. Thus, it is important to study the various elements governing the process of healthy aging. Therefore, this study investigated multiple prediction models to determine the health-related quality of life (HRQoL) in elderly adults based on the demographics, questionnaires, gait ability, and physical fitness. We performed eight physical fitness tests on 775 participants wearing shoe-type inertial measurement units and completing walking tasks at slower, preferred, and faster speeds. The HRQoL for physical and mental components was evaluated using a 36-item, short-form health survey. The prediction models based on multiple linear regression with feature importance were analyzed considering the best physical and mental components. We used 11 variables and 5 variables to form the best subset of features underlying the physical and mental components, respectively. We laid particular emphasis on evaluating the functional endurance, muscle strength, stress level, and falling risk. Furthermore, stress, insomnia severity, number of diseases, lower body strength, and fear of falling were taken into consideration in addition to mental-health-related variables. Thus, the study findings provide reliable and objective results to improve the understanding of HRQoL in elderly adults.

Indexed as

Accidental FallsQuality of LifeAdultAgedCross-Sectional StudiesFearGaitHumansPhysical FitnessRepublic of KoreaSurveys and Questionnaireselderly adultshealth-related quality of lifemachine learningphysical and mental componentsprediction model

Identifiers

PMID34831575
PMCPMC8624167
OpenAlexW3212247710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.