| Title |
How does the social environment during life course embody in and influence the development of cancer?
|
|---|---|
| Published in |
International Journal of Public Health, June 2018
|
| DOI | 10.1007/s00038-018-1131-5 |
| Pubmed ID | |
| Authors |
Ming Chen, Huiyun Zhu, Yiqi Du, Geliang Yang |
| Abstract |
This review assessed the complex longitudinal processes involved in cancer etiology during life course to understand how the social inequality may be embodied in and influence cancer risk. A narrative literature review was performed with a keyword search conducted using PubMed, Scientific Electronic Library Online and Google. Three aspects of literatures were mainly included: social environmental mechanisms of cancer, life course of cancer development and social inequality of cancer risk. This review was complemented with manual searches of relevant journals and reference lists of primary articles. Social inequality is mostly embodied in genetic susceptibility and early childhood development, the duration and intensity of exposures and the access to medical resources, which influence the timing and accumulation of cancer risk during life course. The individuals with lower socioeconomic status are more likely to have higher cancer risk because of more frequency of timing and quantity of accumulation of adverse exposures and greater impact on epigenetic mechanisms. Primary prevention is the best prevention strategy to reduce cancer risk. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 17% |
| Lecturer | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 17% |
| Medicine and Dentistry | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Environmental Science | 2 | 7% |
| Psychology | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from International Journal of Public Health
#1,539
of 1,900 outputs
Outputs of similar age
#250,562
of 341,432 outputs
Outputs of similar age from International Journal of Public Health
#30
of 39 outputs
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