Evidence map›Paper›PMID 36401756›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Health-related quality of life in various health conditions: two consecutive surveys of older Japanese adults.

Takaaki Ikeda, Yoshimune Hiratsuka, Natsuyo Yanagi, Yasunori Komaki, Masayasu Murakami, Jun Aida, Katsunori Kondo, Ken Osaka

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 6 institutions in 1 country.

Takaaki IkedaDepartment of Health Policy Science, Graduate School of Medical Science, Yamagata University, 2-2-2 Iidanishi, Yamagata, 990-9585, Japan. tikeda@med.id.yamagata-u.ac.jp.ORCID http://orcid.org/0000-0003-4325-4492
Yoshimune HiratsukaDepartment of Ophthalmology, Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan.
Natsuyo YanagiCenter for Preventive Medical Sciences, Chiba University, Kashiwa, Japan.
Yasunori KomakiGraduate School of Economics, Nagoya City University, Aichi, Japan.
Masayasu MurakamiDepartment of Health Policy Science, Graduate School of Medical Science, Yamagata University, 2-2-2 Iidanishi, Yamagata, 990-9585, Japan.
Jun AidaDepartment of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-ku, Japan.
Katsunori KondoCenter for Preventive Medical Sciences, Chiba University, Kashiwa, Japan.
Ken OsakaDepartment of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan.
Chiba University · JPYamagata University · JPJuntendo University · JPNagoya City University · JPTohoku University · JPTokyo Medical and Dental University · JP

Funding

Japan Agency for Medical Research and Development JP18dk0110027Japan Agency for Medical Research and Development JP18le0110009Japan Agency for Medical Research and Development JP18ls0110002Japan Agency for Medical Research and Development JP20dk0110034Japan Agency for Medical Research and Development JP21dk0110037Japan Agency for Medical Research and Development JP21dk0310108h0002Japan Agency for Medical Research and Development JP21lk0310073Japan Society for the Promotion of Science 19K19818Japan Society for the Promotion of Science 21K02001Japan Society for the Promotion of Science 22K17648Program on Open Innovation Platform with Enterprises, Research Institute and Academia JPMJOP1831
6 · The paper itself

Abstract

purposeMeasuring health-related quality of life (HRQOL) in various health conditions in different countries is important given the regional differences. This study employed large-scale nationwide data targeting older adults in Japan to estimate the HRQOL in the key health conditions that are the major causes of disability.

methodsOur data were derived from two survey waves (2016 and 2019 surveys) of cross-sectional data from the Japan Gerontological Evaluation Study, an ongoing nationwide study targeting functionally independent older adults in Japan. A total of 28,345 individuals from 27 of the 47 Japanese provinces were analyzed. The EuroQoL 5-dimension 5-level instrument (EQ-5D-5L) was employed to assess the HRQOL utility scores. The targeted minimum loss-based estimator with sampling weighting methods was applied to estimate the utility score in eight major health conditions, including sensory organ disease, musculoskeletal disease, oral disorders, and depressive disorders.

resultsThe estimated HRQOL utility score for those with the poorest health conditions in self-rated health, hearing loss, vision loss, number of remaining teeth (e.g., no teeth with no denture use), oral dysfunction, depressive symptoms, chronic low back pain, and chronic knee pain was 0.576 (95% confidence interval (CI) 0.555-0.598), 0.768 (95% CI 0.737-0.800), 0.680 (95% CI 0.662-0.699), 0.809 (95% CI 0.796-0.821), 0.776 (95% CI 0.764-0.788), 0.723 (95% CI 0.710-0.737), 0.715 (95% CI 0.690-0.739), and 0.742 (95% CI 0.722-0.763), respectively.

conclusionWe successfully provided a catalog for the HRQOL utility score in key health conditions that are the leading causes of disability among older adults.

Indexed as

Health StatusQuality of LifeAgedCross-Sectional StudiesEast Asian PeopleHealth SurveysHumansSurveys and QuestionnairesDepressionHearing lossKnee painLow back painOral disordersVisual impairment

Identifiers

PMID36401756
OpenAlexW4309411875

What OpenQuestion holds

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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.