Evidence map›Paper›PMID 26753922›Full record

ArticleHealth and quality of life outcomes2016

Self-rated health and health-related quality of life among Chinese residents, China, 2010.

Wen-Lan Dong, Yi-Chong Li, Zhuo-Qun Wang, Ying-Ying Jiang, Fan Mao, Li Qi, Jian-Qun Dong, Li-Min Wang

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Article
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  3. Article
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  7. Article
  8. Population Norms for SF-6Dv2 and EQ-5D-5L in China.Applied health economics and health policy · 2022
    Article
  9. Article
  10. Can survey data facilitate local priority setting? Experience from the Igunga and Nzega districts in Tanzania.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  11. Article
  12. EQ-5D-5L norms for the urban Chinese population in China.Health and quality of life outcomes · 2018
    Article
  13. 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.

Wen-Lan DongNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. dongwenlan99@126.com.
Yi-Chong LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. yichongli.cdc@139.com.
Zhuo-Qun WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. wangzhuoqun1016@163.com.
Ying-Ying JiangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. agathajiang@hotmail.com.
Fan MaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. mf136@126.com.
Li QiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. qilide2006@126.com.
Jian-Qun DongNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. workdong@163.com.
Li-Min WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, People's Republic of China. wlm65@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health (SRH) and health-related quality of life (HRQOL) are two outcome measures used to assess health status. However, little is known about population-based SRH and HRQOL in China.

methodsData from the 2010 China Chronic Disease and Risk Factor Surveillance, a nationally representative sample of 98,658 adults (≥18-year-old) residing in China, were analyzed. SRH was assessed by asking "Would you say that, in general, your health is very good, good, general, poor, or very poor?" HRQOL was assessed by asking "For about how many days during the past 30 days was your health not good due to physical illnesses, injuries, or mental unhealthy?".

resultsOverall, 6.3 % of participants rated their health as poor or very poor. The prevalence of poor/very poor health increased with advancing age ranging from 2.0 % in the 18-24 year-olds to 14.9 % in those ≥75 years-old, while it decreased with education levels from 13.0 % in illiterates/those with some primary school education to 2.2 % in college graduates or above. Additionally, women were more likely than men to rate their health as poor or very poor (7.2 % vs. 5.4 %). The reported rate of poor/very poor health was higher in western region residents compared to those in the east (7.4 % vs. 5.3 %). The mean numbers of self-reported physically unhealthy days, injury-caused unhealthy days, or mentally unhealthy days during the past 30 days were 1.48, 0.20, and 0.54, respectively. Older adults had more physically unhealthy days than the younger ones ranging from 2.92 days in those ≥ 75 year-old to 0.95 days in 18-24 year-olds. Women had more physically unhealthy days and mentally unhealthy days than men (1.72 vs. 1.23; 0.62 vs. 0.46, respectively). The highest mean number of physically unhealthy days (2.32) was reported by illiterates or those with some primary school education. The highest mean number of mentally unhealthy days (0.86) reported by college graduates or above.

conclusionsSubstantial variations existed in SRH and HRQOL among age groups, gender groups, education groups, and across regions in China. Considering these disparities will be important when developing health policies and allocating resources.

Indexed as

Attitude to HealthHealth StatusPatient Outcome AssessmentAdolescentAdultAgedAged, 80 and overAsian PeopleChinaFemaleHumansMaleMiddle AgedQuality of LifeRisk FactorsSelf Report

Identifiers

PMID26753922
PMCPMC4709902

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.