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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of quality of life among Malaysian cancer patients: a cross-sectional study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, August 2018
|
| DOI | 10.1186/s12955-018-0989-5 |
| Pubmed ID | |
| Authors |
Mehrnoosh Akhtari-Zavare, Sherina Mohd-Sidik, Ummavathy Periasamy, Lekhraj Rampal, Siti Irma Fadhilah, Rozi Mahmud |
| Abstract |
Cancer is a serious public health problem not only in Malaysia, also worldwide. The aim of this study was to determine the determinants of quality of life (QOL) among cancer patients in Peninsular Malaysia. A cross sectional study was conducted among 2120 cancer patients in Peninsular Malaysia, between April 2016 to January 2017. All cancer patients aged 18 years old and above, Malaysian citizens and undergoing cancer treatment at government hospitals were approached to participate in this study and requested to complete a set of validated questionnaires. Inferential statistical tests such as t-test and one-way ANOVA were used to determine the differences between demographic variables, physical effects, clinical factors, psychological effects and self-esteem with the quality of life of cancer patients. Predictor(s) of quality of life were determined by using Multivariate linear regression models. A total 1620 out of 2120 cancer patients participated in this study, giving a response rate of 92%. The majority of cancer patients were female 922 (56.9%), Malays 1031 (63.6%), Muslim 1031 (63.6%), received chemotherapy treatment 1483 (91.5%). Overall, 1138 (70.2%) of the patients had depression and 1500 (92.6%) had anxiety. Statistically significant associations were found between QOL and clinical factors, physical side effects of cancer, psychological effects and self-esteem (p < 0.05). However, among socio-demographics only age, race, religion, working status were significantly associated with QOL. Based on the multivariate regression analysis, the main predictors of QOL among cancer patients in Malaysia were age, self-esteem as positive predictors, and Indian race, nausea, fatigue, hair loss, bleeding as negative predictors. The findings of this study provide a scientific basis to develop a comprehensive program for improving quality of life of cancer patients in Malaysia. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 35 | 24% |
| Student > Master | 15 | 10% |
| Student > Ph. D. Student | 9 | 6% |
| Researcher | 5 | 3% |
| Lecturer | 5 | 3% |
| Other | 21 | 14% |
| Unknown | 56 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 16% |
| Nursing and Health Professions | 20 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Psychology | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 27 | 18% |
| Unknown | 59 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 02 April 2021.
All research outputs
#1,950,977
of 23,099,576 outputs
Outputs from Health and Quality of Life Outcomes
#110
of 2,189 outputs
Outputs of similar age
#42,374
of 330,840 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#5
of 63 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,189 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.