Evidence map›Paper›PMID 37984958›Full record

ArticleBMJ open2023

Health-related quality of life and its changes of the Tibetan population in China: based on the 2013 and 2018 National Health Services Surveys.

Lei Dou, Zhao Shi, Zhaxi Cuomu, Cidan Zhuoga, Chaofan Li, Zhaxi Dawa, Shunping Li

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

7 authors.

Lei DouCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhao ShiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhaxi CuomuMedical College of Tibet University, Lhasa, China.
Cidan ZhuogaMedical College of Tibet University, Lhasa, China.
Chaofan LiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhaxi Dawa *Medical College of Tibet University, Lhasa, China lishunping@sdu.edu.cn 13908902237@qq.com.
Shunping Li *Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China lishunping@sdu.edu.cn 13908902237@qq.com.ORCID 0000-0001-8144-6220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHealth-related quality of life (HRQoL) was an important health outcome measure for evaluating an individual's overall health status. However, there was limited in the literature on HRQoL and its long-term changes of the Tibetan population. This study aimed to assess HRQoL of Tibetan and its changes over time, and explore the differences in HRQoL for residents at different altitudes.

designData for the cross-sectional study were extracted from the fifth and sixth waves of the National Health Services Surveys which were conducted in 2013 and 2018. A multistage stratified cluster random sampling strategy was used to select representative participants.

settingTibet Autonomous Region in China.

participantsThis study recruited 14 752 participants in 2013 and 13 106 participants in 2018, and after excluding observations with missing values for key variables, 10 247 in 2013 and 6436 in 2018 were included in the study analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The EQ-5D-3L was used to measure participants' HRQoL.

resultsThe mean health state utility scores of the participants were 0.969±0.078 and 0.966±0.077 in 2013 and 2018, respectively. Pain/discomfort was the most frequently prevalent issue reported in 18.1% and 17.9% of the participants in 2013 and 2018, respectively. Tibetans living 3500-4000 m altitude had the best HRQoL. Age, sex, employment status, educational attainment, chronic disease and weekly physical exercise were influencing factors associated with HRQoL.

conclusionsThe HRQoL of the Tibetan population was lower than the general Chinese population, and decreased over time between 5 years. There were differences in HRQoL among Tibetan at different altitudes, with residents living at 3500-4000 m having the best quality of life. More attention should be paid to those Tibetans who are older, female, unemployed and without formal education.

Indexed as

Quality of LifeState MedicineChinaCross-Sectional StudiesFemaleHealth StatusHumansSurveys and QuestionnairesTibetChinaPUBLIC HEALTHQuality of Life

Identifiers

PMID37984958
PMCPMC10660197

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LicenceCC BY-NC
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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.