| Literature DB >> 34957036 |
Sana Samreen1, Ibrahim Sales2, Ghada Bawazeer2, Syed Wajid2, Mansour Adam Mahmoud3, Majidah A Aljohani4.
Abstract
Background andEntities:
Keywords: Indian adults; attitudes; blood donation; fear for needle; motivation
Mesh:
Year: 2021 PMID: 34957036 PMCID: PMC8695873 DOI: 10.3389/fpubh.2021.785568
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flowchart of responses.
Demographics of the participants (n = 356).
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|---|---|---|---|
| Age in years | 18–29 years | 291 | 81.7 |
| >30 years | 65 | 18.3 | |
| Gender | Male | 253 | 71.1 |
| Female | 103 | 28.9 | |
| Marital status | Married | 123 | 34.6 |
| Single | 233 | 65.4 | |
| Level of education | High school | 71 | 20.1 |
| University | 282 | 79.9 | |
| Employment status | Employed | 158 | 44.6 |
| Students | 10 | 2.8 | |
| Unemployed | 186 | 52.2 |
Attitudes and opinions toward blood donation (n = 356).
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|
|
|
|---|---|---|---|
| Do you think that blood donation is an important act? | |||
| Yes | 336 | 94.4 | 94.4 |
| No | 20 | 5.6 | |
| Do you think donating blood can save lives? | |||
| Yes | 350 | 98.3 | 98.3 |
| No | 6 | 1.7 | |
| Do you accept blood donation from others (volunteers)? | |||
| Yes | 254 | 71.3 | 71.3 |
| No | 102 | 28.7 | |
| Will you donate the blood in the future? | |||
| Yes | 341 | 95.8 | 95.8 |
| No | 15 | 4.2 | |
| Do you think blood donation is a national duty? | |||
| Yes | 203 | 57 | 57 |
| No | 153 | 43 | |
| What will be your reason for donating? | |||
| As a volunteer | 167 | 49.4 | |
| For my family and friends | 171 | 50.6 | |
|
| |||
| Unfavorable attitude (score of 4 or less out of 6) | 153 | 43 | |
| Favorable attitude (scored of 5–6 out of 6) | 203 | 57 |
Figure 2Fears and misconceptions preventing donors from donating blood.
Knowledge and motivations about blood donation (n = 356).
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|
|
|---|---|---|---|
| How many times can a person donate blood per year? | 7.4 | ||
| One time a year | 167 | 49.7 | |
| Two times a year | 47 | 14 | |
| Three times a year | 38 | 11.3 | |
| Four times in a year | 42 | 12.5 | |
| Five times in a year | 17 | 5.1 | |
| | 25 | 7.4 | |
| If you agree to donate the blood, where do you prefer to donate? | 73.8 | ||
| | 256 | 73.8 | |
| Residence | 48 | 13.8 | |
| Workplace | 43 | 12.4 | |
| According to your knowledge, can people with any blood type donate blood? | 78.7 | ||
| | 280 | 78.7 | |
| No | 10 | 2.8 | |
| I don't know | 66 | 18.5 | |
| Do you agree that donors should be paid to promote blood donation? | 75 | ||
| Yes | 89 | 25 | |
| | 267 | 75 | |
| Knowledge categories | |||
| Knowledgeable (scores of <3 out of 4) | 149 | 41.9 | |
| Not knowledgeable (scores of 3 or 4 out of 4) | 207 | 58.1 |
Factors motivating blood donation.
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|
|
|---|---|---|
| Do family and friends consider blood donation as an important and valuable act and encourage you to donate? | ||
| Yes | 322 | 90.4 |
| No | 34 | 9.6 |
| Would you donate blood if given a leave from work? | ||
| Yes | 327 | 91.9 |
| No | 29 | 8.1 |
| Does donating blood make you feel like you have helped your family members or friends? | ||
| Yes | 331 | 93 |
| No | 25 | 7.0 |
| Do you agree that a token should be given to donors as a motivational factor? | ||
| Yes | 262 | 73.6 |
| No | 94 | 26.4 |
Cross-tabulation between demographic characteristics and attitudes categories.
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| |
|---|---|---|---|---|
| Age | 0.489 | |||
| 18–29 years | Respondents | 128 | 163 | |
| % within age | 44.0% | 56.0% | ||
| % within attitudes categories | 83.7% | 80.3% | ||
| ≥30 years | Respondents | 25 | 40 | |
| % within age | 38.5% | 61.5% | ||
| % within attitudes categories | 16.3% | 19.7% | ||
| Gender | 0.906 | |||
| Male | Respondents | 108 | 145 | |
| % within gender | 42.7% | 57.3% | ||
| % within attitude categories | 70.6% | 71.4% | ||
| Female | Respondents | 45 | 58 | |
| % within gender | 43.7% | 56.3% | ||
| % within attitude categories | 29.4% | 28.6% | ||
| Marital status | 0.018 | |||
| Married | Respondents | 42 | 81 | |
| % within marital status | 34.1% | 65.9% | ||
| % within attitude categories | 27.5% | 39.9% | ||
| Single | Respondents | 111 | 122 | |
| % within marital status | 47.6% | 52.4% | ||
| % within attitude categories | 72.5% | 60.1% | ||
| Educational status | 0.005 | |||
| University | Respondents | 133 | 149 | |
| % within educational level | 47.2% | 52.8% | ||
| % within attitude categories | 86.9% | 74.5% | ||
| High school | Respondents | 20 | 51 | |
| % within educational level | 28.2% | 71.8% | ||
| % within attitude categories | 13.1% | 25.5% | ||
| Employment status | 0.239 | |||
| Employed | Respondents | 61 | 97 | |
| % within employment status | 38.6% | 61.4% | ||
| % within attitudes categories | 40.4% | 47.8% | ||
| Unemployed | Respondents | 87 | 99 | |
| % within employment status | 46.8% | 53.2% | ||
| % within attitude categories | 57.6% | 48.8% | ||
| Student | Respondents | 3 | 7 | |
| % within employment status | 30.0% | 70.0% | ||
| % within attitude categories | 2.0% | 3.4% |
Fishers exact test and chi-square test.
Younger participants (18–29 years) had a statistically significant better knowledge than older participants (≥30 years). A statistically significant differences in knowledge categories were also reported among marital status (P = 0.003), educational status (P = 0.001) and employment status (P < 0.001).
Cross-tabulation between demographic characteristics and knowledge categories.
|
|
|
|
| |
|---|---|---|---|---|
| Age | <0.001 | |||
| 18–29 years | Respondents | 153 | 138 | |
| % within age | 52.6% | 47.4% | ||
| % within knowledge categories | 73.9% | 92.6% | ||
| ≥30 years | Respondents | 54 | 11 | |
| % within age | 83.1% | 16.9% | ||
| % within knowledge categories | 26.1% | 7.4% | ||
| Gender | 0.479 | |||
| Male | Respondents | 144 | 109 | |
| % within gender | 56.9% | 43.1% | ||
| % within knowledge categories | 69.6% | 73.2% | ||
| Female | Respondents | 63 | 40 | |
| % within gender | 61.2% | 38.8% | ||
| % within knowledge categories | 30.4% | 26.8% | ||
| Marital status | 0.003 | |||
| Married | Respondents | 85 | 38 | |
| % within marital status | 69.1% | 30.9% | ||
| % within knowledge categories | 41.1% | 25.5% | ||
| Single | Respondents | 122 | 111 | |
| % within marital status | 52.4% | 47.6% | ||
| % within knowledge categories | 58.9% | 74.5% | ||
| Educational status | 0.001 | |||
| University | Respondents | 177 | 105 | |
| % within educational level | 62.8% | 37.2% | ||
| % within knowledge categories | 85.5% | 71.9% | ||
| High school | Respondents | 30 | 41 | |
| % within educational level | 42.3% | 57.7% | ||
| % within knowledge categories | 14.5% | 28.1% | ||
| Employment status | <0.001 | |||
| Employed | Respondents | 111 | 47 | |
| % within employment status | 70.3% | 29.7% | ||
| % within knowledge categories | 53.6% | 32.0% | ||
| Unemployed | Respondents | 86 | 100 | |
| % within employment status | 46.2% | 53.8% | ||
| % within knowledge categories | 41.5% | 68.0% | ||
| Student | Respondents | 10 | 0 | |
| % within employment status | 100.0% | 0.0% | ||
| % within knowledge categories | 4.8% | 0.0% |
Fishers exact test and chi-square test.