Evidence map›Paper›PMID 25637079›Full record

ArticleBMC public health2015

Analysis of awareness of health knowledge among rural residents in Western China.

Fang Yuan, Dongfu Qian, Chenglong Huang, Miaomiao Tian, Yuanxi Xiang, Zhifei He, Zhanchun Feng

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

  1. Pooled it
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  3. The financial burden of cancer: A longitudinal analysis of out-of-pocket healthcare costs in Australia (2009-2021).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Fang YuanSchool of Medicine and Health Management, Tongji Medical College, HuaZhong University of Science and Technology, Wuhan, HuBei Province, China. yuanfanglanzhou@163.com.
Dongfu QianCollege of Medical Administration, Nanjing Medical University, Nanjing, Jiangsu Province, China. qiandf006@hotmail.com.
Chenglong HuangCollege of Laboratory Medicine, Chongqing Medical University, Chongqing, China. righthuang@sina.com.
Miaomiao TianInstitute of Medical Information, Center for Health Policy and Management, Chinese Academy of Medical Sciences, Beijing, China. shuishuipp@163.com.
Yuanxi XiangSchool of Medicine and Health Management, Tongji Medical College, HuaZhong University of Science and Technology, Wuhan, HuBei Province, China. 11427843@qq.com.
Zhifei HeSchool of Medicine and Health Management, Tongji Medical College, HuaZhong University of Science and Technology, Wuhan, HuBei Province, China. 332973390@qq.com.
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College, HuaZhong University of Science and Technology, Wuhan, HuBei Province, China. zcfeng@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle diseases could be prevented and controlled by disseminating health knowledge. This study explored the health knowledge awareness and the impact factors of health knowledge awareness, and the way people received health knowledge in western China.

methodsWe undertook a cross-sectional survey in 8 counties, 24 townships and 72 villages from July 2011 to April 2012 in Inner Mongolia, Xinjiang, Chongqing and Qinghai in China. Collected data, which were publicly available, consisted of two parts, namely, socio-demographic information and the 1466 corresponding rural residents' awareness and the approach of health knowledge. Analysis of Variance (ANOVA) was used to explore the impact factors of health knowledge awareness. Multiple linear regressions was then applied to examine the potential predictors of health knowledge awareness.

resultsFour predictors-age (negative factor), educational level (positive factor), distance from home to the nearest medical institution (negative factor) and annul disposable household income (negative factor) were in the final liner regression model (p < 0.05). The results showed that awareness of health knowledge associated with risk factors was the highest (58.85%). The highest awareness rate of health knowledge is the title "Whether secondhand smoke is harmful to myself" (69.78%) and the lowest title is "Whether eating with hepatitis B patients will be infected Hepatitis B" (21.69%). The main way to receive health knowledge was traditional way such as doctors (80.45%). About more than half of the residents received health knowledge through television, video, newspaper and magazines (65.78%), family members, neighbors (67.38%) and the village health bulletin boards (53.16%).

conclusionHealth knowledge awareness of rural residents was quite low and the way of receiving health knowledge was simple and traditional. One of the critical factors was education level. Direct results showed that lower income families always obtained higher health knowledge level than the rich families. The main way to receive health knowledge was traditional ways. In the process of health education, different means of education should be adopted for different groups so as to achieve ideal effect. Potential interventions may be different from education process which should be adapted to different income level families.

Indexed as

AwarenessHealth Knowledge, Attitudes, PracticeAdultAged, 80 and overAge FactorsChinaCross-Sectional StudiesEducational StatusFemaleHealth BehaviorHumansLife StyleMaleMiddle AgedRisk FactorsRural Population

Identifiers

PMID25637079
PMCPMC4320617

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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.