| Title |
Sex differences in the quality of life of patients with acute coronary syndrome treated with percutaneous coronary intervention after a 3-year follow-up
|
|---|---|
| Published in |
Patient preference and adherence, July 2016
|
| DOI | 10.2147/ppa.s106577 |
| Pubmed ID | |
| Authors |
Beata Jankowska-Polańska, Izabella Uchmanowicz, Krzysztof Dudek, Krystyna Łoboz-Grudzień |
| Abstract |
The aims of this study were to analyze the dynamics of quality of life (QoL) changes after 36 months from the percutaneous coronary intervention (PCI) depending on sex and identify baseline predictors of the follow-up QoL of patients hospitalized for acute coronary syndrome (ACS) and subjected to PCI. The study included 137 patients, females (n=67) and males (n=70), with ACS who underwent PCI. The QoL was assessed using the MacNew Heart Disease Health-Related Quality of Life questionnaire. The group of females scored lower in all the domains of the MacNew Heart Disease Health-Related Quality of Life questionnaire in the initial measurement (B 1), in the measurement after 6 months (B 2), and in the long-term follow-up measurement (36 months - B 3). Despite the fact that both groups achieved improved QoL, its values were higher in the males. The average growth rate of the QoL score in the period from the sixth month to 36th month was higher in females than in males. In the univariate and multivariate analyses, significant independent predictors with a negative influence on the long-term QoL score included female sex (ρ=-0.190, β=-0.21), age >60 years (ρ=-0.255, β=-0.186), and diabetes (ρ=-0.216, β=-0.216). In a 36-month follow-up of ACS patients treated with PCI, there were no statistically significant differences in QoL between sexes. In the entire cohort, there was improvement in QoL, which was higher in the case of the females studied. For the entire group, significant independent determinants of lower QoL 3 years after ACS included female sex, age >60 years, and diabetes. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Nursing and Health Professions | 9 | 24% |
| Psychology | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 11 | 30% |
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 21 July 2016.
All research outputs
#17,351,840
of 25,461,852 outputs
Outputs from Patient preference and adherence
#1,067
of 1,764 outputs
Outputs of similar age
#237,869
of 367,419 outputs
Outputs of similar age from Patient preference and adherence
#45
of 69 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,764 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 26th percentile – i.e., 26% 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 367,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.