Evidence map›Paper›PMID 33706725›Full record

ArticleBMC public health2021

Determinants of self-rated health among an older Tibetan population in a Chinese plateau area: analysis based on the conceptual framework for determinants of health.

Yajie Li, Qucuo Nima, Bin Yu, Xiong Xiao, Peibin Zeng, Deji Suolang, Ruifeng He, Zhuoga Ciren, Pingcuo Wangqing, Ciren Laba and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

14 authors.

Yajie Li *Tibet Center for Disease Control and Prevention, Lhasa, China.
Qucuo Nima *Tibet Center for Disease Control and Prevention, Lhasa, China.
Bin YuWest China Second University Hospital of Sichuan University and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Peibin ZengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Deji SuolangTibet Center for Disease Control and Prevention, Lhasa, China.
Ruifeng HeTibet Center for Disease Control and Prevention, Lhasa, China.
Zhuoga CirenTibet Center for Disease Control and Prevention, Lhasa, China.
Pingcuo WangqingTibet Center for Disease Control and Prevention, Lhasa, China.
Ciren LabaTibet Center for Disease Control and Prevention, Lhasa, China.
Yangzong SilangTibet Center for Disease Control and Prevention, Lhasa, China.
Ling SongTibet Center for Disease Control and Prevention, Lhasa, China.
Yixi KangzhuTibet Center for Disease Control and Prevention, Lhasa, China.
Jingzhong LiTibet Center for Disease Control and Prevention, Lhasa, China. 13908996200@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health (SRH) has been frequently used in population health surveys. However, most of these studies only focus on specific factors that might directly affect SRH, so only partial or confounding information about the determinants of SRH is potentially obtained. Conducted in an older Tibetan population in a Chinese plateau area, the aim of our study is to assess interrelationships between various factors affecting SRH based on the conceptual framework for determinants of health.

methodsBetween May 2018 and September 2019, 2707 Tibetans aged 50 years or older were recruited as part of the China Multi-Ethnic Cohort Study (CMEC) from the Chengguan District of Lhasa city in Tibet. The information included SRH and variables based on the conceptual framework for determinants of health (i.e., socioeconomic status, health behaviors, physical health, mental health, and chronic diseases). Structural equation modeling (SEM) was used to estimate the direct and indirect effects of multiple factors in the conceptual framework.

resultsAmong all participants, 5.54% rated their health excellent, 51.16% very good, 33.58% good, 9.12% fairly poor and 0.59% poor. Physical health (β = - 0.23, P <  0.001), health behaviors (β = - 0.44, P <  0.001), socioeconomic status (β = - 0.29, P <  0.001), chronic diseases (β = - 0.32, P <  0.001) and gender (β = 0.19, P <  0.001) were directly associated with SRH. Socioeconomic status, physical health and gender affected SRH both directly and indirectly. In addition, there are potential complete mediator effects in which age and mental health affect SRH through mediators, such as physical health, health behaviors and chronic diseases.

conclusionsThe findings suggested that interventions targeting behavioral changes, health and chronic disease management should be attached to improve SRH among older populations in plateau areas without ignoring gender and socioeconomic disparities.

Indexed as

Health BehaviorHealth StatusChinaCohort StudiesHumansMiddle AgedTibetOlder peoplePlateau areaSelf-rated healthSocial determinants of health

Identifiers

PMID33706725
PMCPMC7953750

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.