Evidence map›Paper›PMID 32552694›Full record

ArticleBMC public health2020

Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey.

Rendan Deng, Labasangzhu, Zhaxideji, Guihua Wang, Peiwei Hong, Jiaqi Li, Qiwen Li, Yang Wan, Hai Xiong

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Rendan DengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
LabasangzhuMedical College of Tibet University, Lhasa, 850000, China. lhasam@qq.com.
ZhaxidejiMedical College of Tibet University, Lhasa, 850000, China. tumczhade@163.com.
Guihua WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Peiwei HongWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Jiaqi LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Qiwen LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Yang WanWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China. Wanyang2014@scu.edu.cn.
Hai XiongWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China. xhxysq@126.com.

Funding

Cultivation Fund Project of Tibet university ZDTSJH18-09Genetic resources of the normal population and diseases on the Qinghai-Tibet Plateau NO.00060464Natural Science Foundation of Tibet autonomous region 2016ZR-TU-06Sixth National Health Service Survey in Tibet NO.18080027
6 · The paper itself

Abstract

backgroundTibet is located in the high-altitude area of Southwest China, where the health level is influenced by specific factors such as the natural environment and living habits. However, there has been little research that has focused on Tibetan health conditions. The two-week prevalence rate is an important indicator of the health level of residents. The purpose of this study was to understand the health status of the residents and the health service needs in Tibet.

methodsThe two-week prevalence rate was calculated using data from a population of 10,493 individuals aged 15 and above that was obtained from the 2018 Sixth National Health Service Survey of Tibet. We initially analysed the types and associated factors of two-week illnesses in Tibetan. The influencing factors for the two-week prevalence rate in Tibet were determined by multivariate logistic regression analysis. Subsequently, we assessed the severity of two-week illnesses by calculating the average days of the duration of the disease, the days of being bedridden and the days of being off work.

resultsThe two-week illness prevalence rate was 20.1% in Tibet. Digestive system diseases were frequent, and hypertension was the most common disease. According to the multivariate logistic regression analysis, the two-week prevalence rate was associated with gender, age, residence, marital status, and employment status. In addition, the severity of two-week illnesses differed among the residents.

conclusionThis study identified that health service needs have increased in Tibet and that the health status of the local residents needs to be improved. Moreover, hypertension has become a major health hazard for the residents and should be considered in the utilization of health services.

Indexed as

Health StatusAdolescentAdultAgedChronic DiseaseDigestive System DiseasesFemaleHumansMaleMiddle AgedMusculoskeletal DiseasesPrevalenceRespiratory Tract DiseasesRural PopulationSocioeconomic FactorsSurveys and QuestionnairesFactorsTibetanTwo-week prevalence rate

Identifiers

PMID32552694
PMCPMC7302388

What OpenQuestion holds

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LicenceCC BY
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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.