Evidence map›Paper›PMID 34675011›Full record

ArticleBMJ open2021

Association between healthy lifestyle score changes and quality of life and health-related quality of life: a longitudinal analysis of South Korean panel data.

Fatima Nari, Wonjeong Jeong, Bich Na Jang, Hyeon Ji Lee, Eun-Cheol Park

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Fatima NariDepartment of Public Health, Graduate School, Yonsei University, Seodaemun-gu, Korea (the Republic of).ORCID 0000-0002-3031-3388
Wonjeong JeongDepartment of Public Health, Graduate School, Yonsei University, Seodaemun-gu, Korea (the Republic of).
Bich Na JangDepartment of Public Health, Graduate School, Yonsei University, Seodaemun-gu, Korea (the Republic of).
Hyeon Ji LeeDepartment of Public Health, Graduate School, Yonsei University, Seodaemun-gu, Korea (the Republic of).
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea (the Republic of) ecpark@yuhs.ac.ORCID 0000-0002-2306-5398
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to determine the influence of changes in the aggregate score of healthy lifestyle factors on health-related quality of life (HRQOL) and overall quality of life (QOL) in the Korean older adult population.

designThis study used a longitudinal design. SETTING AND

participantsData on 9474 participants aged 45 years or older were extracted from the Korean Longitudinal Study on Aging for the period 2006-2016. A composite score of four lifestyle factors (smoking, drinking, physical activity and body mass index) was calculated, and biennial changes in aggregate score were computed. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were HRQOL and QOL.

resultsGeneralised estimating equation analysis results showed that those with healthy lifestyle score changes from 'Low-High' (

conclusionThe findings suggest an association between a low healthy lifestyle score and poor quality of life, in both general and health-related aspects. Strategies targeting the Korean ageing demographic to promote a healthier lifestyle should be encouraged.

Indexed as

AgingQuality of LifeAgedFemaleHealthy LifestyleHumansLongitudinal StudiesMaleRepublic of Koreahealth policypreventive medicinepublic health

Identifiers

PMID34675011
PMCPMC8532554
OpenAlexW3205593677

What OpenQuestion holds

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LicenceCC BY-NC
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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.