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Effect of multimorbidity on quality of life in adult with cardiovascular disease: a cross-sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, December 2017
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Title
Effect of multimorbidity on quality of life in adult with cardiovascular disease: a cross-sectional study
Published in
Health and Quality of Life Outcomes, December 2017
DOI 10.1186/s12955-017-0820-8
Pubmed ID
Authors

Bijan Shad, Asieh Ashouri, Tolou Hasandokht, Fatemeh Rajati, Arsalan Salari, Moona Naghshbandi, Fardin Mirbolouk

Abstract

The aim of present study was to describe the effect of multimorbidity on Health-Related Quality of Life (HRQoL) in patients with coronary artery disease (CAD). A cross-sectional study with a simple sampling method of 296 patients undergoing coronary artery bypass surgery in a referral hospital of the northern part of Iran was conducted between April, 2015 and September, 2016. Multimorbidity was defined as the presence of at least two chronic diseases based on self-reporting and medical records. HRQoL was measured using the 36-item short form (SF-36) health status survey. We used analysis of variance (ANOVA) to assess the effect of multimorbidity on mental and physical component of HRQoL. Approximately, 69% of CAD patients had at least one other disease like diabetes or hypertension. Patients without multimorbidity compared with patients with multimorbidity were significantly older (p = 0.012) and more educated (p = 0.002). Both physical and mental component score of HRQoL was better in patients without any morbidity (48.82 vs. 43.93 with 95%CI of mean difference: 3.37-6.42 and 54.85 vs. 50.44 with 95% CI of mean difference: 1.68-7.15, respectively). Both physical and mental component score was significantly lower in female and lower educated patients (physical mean score 43.07 vs. 46.54 with P = .001 and 42.53 vs. 46.82 with P < .001 and mental mean score 49.98 vs. 52.65 with P = .055 and 49.80 vs. 52.75 with P = .022 for sex and education, respectively). Also, two-way ANOVA showed that regards to morbidity, physical component score was grater in patients with lower education level than higher education level (P < .001). The findings of this study suggest that women, lower education level and overweight reported lower quality of life. HRQoL is affected by multimorbidity among CAD patients specially in less educated.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 10%
Student > Ph. D. Student 9 9%
Student > Master 8 8%
Other 6 6%
Student > Postgraduate 5 5%
Other 18 17%
Unknown 47 46%
Readers by discipline Count As %
Medicine and Dentistry 22 21%
Nursing and Health Professions 8 8%
Psychology 5 5%
Social Sciences 4 4%
Agricultural and Biological Sciences 3 3%
Other 11 11%
Unknown 50 49%
Attention Score in Context

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 09 December 2017.
All research outputs
#17,922,331
of 23,011,300 outputs
Outputs from Health and Quality of Life Outcomes
#1,512
of 2,186 outputs
Outputs of similar age
#307,272
of 439,767 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#44
of 63 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 439,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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 is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.