| Literature DB >> 34476223 |
Masoomeh Latifi1, Motahare Anvari Tafti2, Nasrin Davari Dolatabadi3, Zahra Rafiei4, Leili Allahbakhshian Farsani5.
Abstract
BACKGROUND: Patients with heart failure are one of the high-risk groups for coronary artery. Distance education of self-care behaviors can be effective in preventing the disease. The aim of this study was to investigate the effect of social networks in explaining the awareness of cardiovascular patients' self-care behaviors toward COVID-19.Entities:
Keywords: COVID-19; heart failure; patients; self care; social network
Year: 2021 PMID: 34476223 PMCID: PMC8378447 DOI: 10.4103/abr.abr_195_20
Source DB: PubMed Journal: Adv Biomed Res ISSN: 2277-9175
The relationship between the type of social network used and the self-care behavior of patients with heart failure during COVID-19 Epidemic
| Variables | Changing self-care behavior dimensions | |
|---|---|---|
|
| ||
| Kendall rank correlation coefficient |
| |
| Type of social network | WhatsApp: 0.256 | >0.001 |
| Instagram: 0.389 | >0.001 | |
| Telegram: 0.125 | >0.001 | |
One-way analysis of variance results of self-care behavior performed by patients with heart failure with respect to type of activity and participation in social network during COVID-19 epidemic
| Variable |
| Mean |
| Significance |
|---|---|---|---|---|
| Type of activity | ||||
| Downloading and forwarding audio, video and text files, etc., regarding COVID-19 | 27 | 11.90 | 0.119 | 0.002 |
| Downloading audio, video and text files, etc., regarding COVID-19 | 33 | 14.53 | ||
| Seeking out scientific, nutritional, and medical information regarding COVID-19 on social network | 65 | 28.63 | ||
| Reading the comments and discussed topics | 30 | 13.21 | ||
| Often reading the comments and sometimes commenting on the discussed topics | 28 | 12.33 | ||
| Seeking out issues and news of COVID-19 on social network | 44 | 19.39 |
The Pearson’s correlation coefficient results showing the relationship the duration of social network use, the level of social network use and the eight dimensions of self-care behavior performed by patients with heart failure during COVID-19 epidemic
| Self-care ability | The duration of social network use (daily, weekly or monthly) | The level of social network use | ||
|---|---|---|---|---|
|
|
| |||
|
|
|
|
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| Gaining the specific knowledge of the signs and symptoms of COVID-19 and modes of transmission for it | 0.644 | 0.000 | 0.454 | 0.000 |
| Awareness of impacts and outcomes of COVID-19 exacerbating the disease | 0.588 | 0.000 | 0.458 | 0.001 |
| Adherence to dietary regimen to prevent COVID-19 | 0.721 | 0.003 | 0.609 | 0.000 |
| Performing daily physical activities | 0.430 | 0.000 | 0.528 | 0.000 |
| Following a prescribed medication regimen | 0.621 | 0.000 | 0.735 | 0.000 |
| Use of effective drugs after observing COVID-19 symptoms | 0.551 | 0.001 | 0.328 | 0.003 |
| Physicians, medical staff and patients interaction after observing COVID-19 symptoms in the patient | 0.539 | 0.000 | −0.022 | 0.129 |
| Coping with negative emotions after observing COVID-19 symptoms | −0.039 | 0.315 | −0.034 | 0.446 |
Results of multivariate regression analysis predicting self-care behavior through the dimensions of social media usage
| Predictor variables | B | SE | Beta | T | ADJ.R2 | R2 | R | F | Sig | |
|---|---|---|---|---|---|---|---|---|---|---|
| Constants | 0.206 | 0.725 | - | 0.285 | 0.776 | 0.557 | 0.196 | 0.443 | 2.295 | 0.007 |
| Type of social media used | 0.021 | 0.019 | 0.127 | 1.123 | 0.264 | |||||
| Type of activity and participation in social media | 0.071 | 0.040 | 0.455 | 3.156 | 0.012 | |||||
| The duration of social media use (daily, weekly or monthly) | 0.051 | 0.022 | 0.384 | 2.299 | 0.024 | |||||
| The level of social media use | 0.041 | 0.020 | 0.354 | 2.129 | 0.034 |