Evidence map›Paper›PMID 24783187›Full record

ArticleFrontiers in public health2014

A single-item self-rated health measure correlates with objective health status in the elderly: a survey in suburban beijing.

Qinqin Meng, Zheng Xie, Tuohong Zhang

Abstract read
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Article in Frontiers in public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  3. Internet Use and Self-Rated Health Among Older Adults: Scoping Review.Interactive journal of medical research · 2026
    Review
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4 · The record

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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

3 authors.

Qinqin MengSchool of Public Health, Peking University Health Science Center , Beijing , China.
Zheng XieSchool of Public Health, Peking University Health Science Center , Beijing , China.
Tuohong ZhangSchool of Public Health, Peking University Health Science Center , Beijing , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe measurement of health status of the elderly remains one important topic. Self-rated health status (SRH) is considered to be a simple indicator to measure the health status of the old population. But some researchers still take a skeptical view about its reliability. This study aims to investigate the association between SRH indicator and health status of the elderly and discuss its subsequent public health implications.

methodsIn a total 1096 people who were 60 years of age or older from 1784 households from a suburban area of Beijing were interviewed using multistage stratified cluster sampling. SRH was measured by a single question "please choose one point in this 0-100 scale, which can best represent your health today." The disease status and physical functional status were also obtained. A multiple linear regression was conducted to test the associate between SRH and individual's disease/functional status.

resultsThe average of SRH scores of the elderly was 72.49 ± 15.64 (on a 1-100 scale). The SRH scores declined not only with the severity of self-reported mental/disease status, but also with the decrease of physical functional status. Multiple linear regression showed that after adjustment for other variables, 2-week sickness, chronic diseases, hospitalization, and ability of self-care (washing and dressing) were able to explain 35% of the variation in SRH among the elderly. Among them, disease status and self-care ability were the most powerful predictor of SRH. After adjusting other variables, physical functional status could explain only 5% of the variation in SRH.

conclusionSelf-rated health reflects the disease/functional health status of the elderly. It is an easy-to-implement variable and it can reduce both recall bias and investigator bias, thus being widely used in health surveys. It is a cost-effective means of measuring the health status. However, the comparability of SRH in different populations should be studied in future.

Indexed as

functional statushealth statusmultiple linear regressionold peopleself-rated healththe elderly

Identifiers

PMID24783187
PMCPMC3989711

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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.