| Literature DB >> 32629829 |
Chin-Hsien Hsu1, Hsiao-Hsien Lin1, Chun-Chih Wang2, Shangwun Jhang3.
Abstract
This study explored awareness, attitudes, and behavior in relation to Coronavirus Disease 2019 (COVID-19) prevention among Taiwanese citizens and their physical and mental health statuses. Through collection of 2132 questionnaire responses in field research, the present researchers analyzed the data using descriptive statistics and various approaches. In conclusion, the public's high level of willingness to share information, sufficient knowledge of and consensus on epidemic prevention between individuals and families, strict compliance with relevant regulations, effective preventive measures, and adequate public facilities have contributed to control of COVID-19. However, vigilance and awareness of the pandemic in some individuals, epidemic-prevention campaigns, and community-based preventive measures were insufficient. Some citizens subsequently suffered from headaches, anxiety, and mood instability. Furthermore, demographic variables (place of residence, sex, age, and occupation) and physical and mental health status produced various effects on citizens' awareness, attitude, and behavior regarding epidemic prevention as well as the perceived effect of COVID-19 on physical and mental health.Entities:
Keywords: Coronavirus Disease 2019; Taiwan; prevention measures
Mesh:
Year: 2020 PMID: 32629829 PMCID: PMC7369770 DOI: 10.3390/ijerph17134694
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Regions affected by COVID-19 across the world (left) and in Taiwan (up to 9 April 2020).
Figure 2Confirmed cases of COVID-19 across the world and those in Taiwan (up to 9 April 2020).
City and county classification in Taiwan.
| Area | County Name | Total |
|---|---|---|
| North | Taipei, New Taipei, Keelung, Taoyuan, Hsinchu County, Hsinchu City, Yilan | 7 |
| Central | Miaoli, Taichung, Changhua, Nantou, Yunlin | 5 |
| South | Chiayi City, Chiayi County, Tainan, Kaohsiung, Pingtung | 5 |
| East | Hualien, Taitung | 2 |
| islands | Kinmen, Lienchiang, Penghu | 3 |
Figure 3Study framework.
Design on awareness, attitudes, and behaviors in relation to epidemic prevention and the public’s physical and mental health.
| Dimension | Subdimension | Subject (M) | Cronbach’α |
|---|---|---|---|
| Physical and mental health | Psychological status (5) | Unstable mood(3.02), feelings of anxiety and panic(3.28), reduced ability(2.67), reduced enthusiasm(2.91), and limited time(2.94) | 0.943–0.948 |
| Spiritual status (5) | Headaches(2.62), fatigue(2.57), pain(2.44), back pain(2.32), and insomnia(2.32) | 0.942–0.943 | |
| Attitude and health (6) | Stomach ache(2.25), increased smoking frequency(2.17), irritability(2.36), lack of confidence(2.15), loss of life purpose(2.25), and suicidal thoughts(2.05) | 0.942–0.946 | |
| Epidemic prevention awareness | Epidemic prevention awareness (4) | Effectiveness of epidemic prevention campaigns(3.88), family influences on individual prevention habits(3.88), formation of prevention habits in families(4.15), and prevention consensus between the public and individuals(4.18) | 0.967–0.970 |
| Consensus on decision-making (4) | Epidemic prevention campaigns(4.18), campus prevention campaigns(4.13), family prevention consensus(4.19), and prevention consensus among interviewees(4.19) | 0.966–0.967 | |
| Emergency response (6) | Effect of prevention campaigns on health(3.97), the effects of prevention measures(3.98), the effectiveness of self-protection awareness(3.93), prevention campaigns in public spaces(4.02), prevention campaigns in the media(3.95), and prevention facility installment in public spaces(4.04) | 0.967–0.968 | |
| Epidemic prevention attitude | Perception (4) | Compliance with prevention measures(4.14), increased prevention vigilance in daily life(4.09), increased campus prevention vigilance(4.13), and the effects of prevention knowledge on infection rate(4.1) | 0.959–0.961 |
| Explicit reaction (4) | Prevention information acquisition(3.99), compliance with teachers’ epidemic prevention advice(4.04), compliance with public space prevention measures(4.07), and informational research of prevention knowledge(3.93) | 0.929–0.962 | |
| Epidemic prevention behavior | Daily life adaptability (11) | Adequate compliance with the epidemic prevention measures(3.99), active compliance with prevention measures(4.03), correct naming of all prevention processes(3.79), compliance with public space regulations(4.04), wearing of masks(4.08), consultation of experts and scholars for advice(3.92), consultation of online media for advice(3.88), reporting to parents or teachers(3.76), reporting to relatives or friends(3.84), active maintenance of personal hygiene(3.93), active maintenance of cleanliness at home(3.94), medical waste recycling(3.97) | 0.967–0.968 |
| Individual performance (4) | Sharing of prevention knowledge(3.76), reminding persons of inappropriate individual behavior(3.67), active community cleaning(3.67), reminding persons of inappropriate public behavior(3.68) | 0.967–0.969 |
Respondent background and interview topics.
| Gender | Age | Occupation | Area | Gender | Age | Occupation | Area |
|---|---|---|---|---|---|---|---|
| male | 22 | student | northern | male | 55 | education | central |
| female | 22 | Service industry | south | male | 38 | Tourism | central |
| male | 21 | student | northern | female | 56 | administration staff | northern |
| male | 45 | education | islands | male | 57 | administrative | northern |
| female | 42 | financial | south | female | 24 | student | east |
| Level | interview topics description | ||||||
| Cognition | How do you know your epidemic awareness, decision consensus, and resilience? Where does local information generally come from? | ||||||
| attitude | How do you know your epidemic alert settings and information? Where do local information generally come from? | ||||||
| behavior | How do you know your personal anti-epidemic attitude and self-protection measures? Where do local information generally come from? | ||||||
| Physical and mental health | What is the impact of the epidemic on an individual’s physical and mental health? What industry has the greatest impact? Where does the local information generally come from? | ||||||
| Based on the above, which one has the greatest impact on people, regions, and occupations? And give your opinion? | |||||||
Sample analysis.
| Area | No. | % | Gender | No. | % | Occupation | No. | % |
|---|---|---|---|---|---|---|---|---|
| Northern | 711 | 33.3% | male | 842 | 39.5% | student | 1505 | 70.60% |
| Central | 1129 | 52.9% | female | 1290 | 60.5% | Restaurant Catering | 131 | 6.10% |
| South | 211 | 9.9% |
| No. | % | tourism | 28 | 1.30% |
| East | 25 | 1.2% | Under 20 | 1068 | 50.1% | Leisure sport | 19 | 0.90% |
| islands | 58 | 2.7% | 21–30 | 769 | 36.1% | Marketing media | 13 | 0.60% |
|
|
| % | 31–40 | 105 | 4.9% | Teachers and civil servants | 21 | 1% |
| Good health | 1960 | 91.9% | 41–50 | 111 | 5.2% | Legal administration | 13 | 0.60% |
| other illnesses | 29 | 1.4% | 51–60 | 57 | 2.7% | Human Resources | 17 | 0.80% |
| chronic | 53 | 2.5% | Over 61 | 22 | 1% | Finance/Insurance/Accounting | 34 | 1.60% |
| general | 43 | 2% |
|
| % | Business services | 53 | 2.50% |
| new coronary | 20 | 0.9% | Elementary | 19 | 0.9% | real estate | 23 | 1.10% |
| general trauma | 27 | 1.3% | Junior | 56 | 2.6% | Transportation | 10 | 0.50% |
|
|
| % | Senior | 301 | 14.1% | Aviation industry and petroleum industry | 2 | 0.10% |
| yes | 260 | 12.2% | universities | 1697 | 79.6% | E-commerce | 3 | 0.10% |
| no | 1872 | 87.8% | Over institute | 59 | 2.8% | Export trade | 13 | 0.60% |
|
|
| % |
|
| % | Industrial manufacturing | 38 | 1.80% |
| yes | 1482 | 69.4% | Oral | 118 | 5.5% | Machining | 27 | 1.30% |
| no | 652 | 30.6% | Proclamation | 42 | 2% | Agriculture, Forestry and Fisheries | 10 | 0.50% |
|
|
| % | newspapers | 105 | 4.9% | Soldiers and police | 22 | 1% |
| family | 115 | 5.4% | TV | 989 | 46.4% | Human agency | 4 | 0.20% |
| School | 246 | 11.5% | Online social platform | 878 | 41.2% | Retail and wholesale | 34 | 1.60% |
| Government | 299 | 14.0% | Computer communication | 22 | 1% | |||
| Mass media | 956 | 44.8% | Performance of art | 10 | 0.50% | |||
| Online social platform | 516 | 24.2% | Housekeeping freelance | 80 | 3.80% | |||
Figure 4Leading to prevention success in Taiwan.
Analysis of awareness, attitudes, and behaviors in relation to epidemic prevention among Taiwanese nationals and of their physical and mental health statuses.
| Highly Recognized | M | Low Recognition | M | Total Score | Actual Score | ||
|---|---|---|---|---|---|---|---|
| Epidemic prevention awareness | Epidemic prevention awareness | prevention consensus between the individuals | 4.18 | Effectiveness of epidemic prevention campaigns | 3.88 | 20 | 16.10 |
| Consensus on decision-making | family prevention consensus | 4.19 | campus prevention campaigns | 4.13 | 20 | 16.70 | |
| Emergency response | prevention facility installment in public spaces | 4.04 | Effect of prevention campaigns on health | 3.93 | 30 | 23.89 | |
| Epidemic prevention attitude | Perception | Compliance with prevention measures | 4.14 | increased prevention vigilance in daily life | 4.09 | 20 | 16.45 |
| Explicit reaction | compliance with teachers’ epidemic prevention advice | 4.07 | informational research of prevention knowledge | 3.93 | 20 | 16.03 | |
| Epidemic prevention behavior | Daily life adaptability | active compliance with prevention measures and wearing of masks | 4.08 | reporting to parents or teachers | 3.76 | 55 | 47.17 |
| Individual performance | Sharing of prevention knowledge | 3.76 | active community cleaning | 3.67 | 20 | 14.77 | |
| Physical and mental health | Psychological status | feelings of anxiety and panic | 3.28 | reduced ability | 2.67 | 25 | 14.81 |
| Spiritual status | headaches | 2.62 | insomnia | 2.57 | 25 | 12.27 | |
| Attitude and health | irritability | 2.36 | suicidal thoughts | 2.05 | 30 | 13.22 | |
Of awareness, attitudes, and behaviors in relation to COVID-19 prevention among citizens in Northern area and of their physical–mental health.
| Background | Cognition | Attitude | Behavior | Physical and Mental Health |
|---|---|---|---|---|
| High cognition(M) | Family habits (4.3) | Cooperation with policies (4.2) | Voluntarily wearing masks (4.2) | Anxiety (3.2) |
| Low cognition(M) | Epidemic-prevention campaign (3.9) | Alertness (4.0) | Conveying epidemic prevention information (3.8) | Capability (2.6) |
| Different gender | Epidemic prevention advocacy (3.8:4.1) * | Media information (3.8:4.1) * | Epidemic prevention steps (3.8:4.2) * | Mood (3:3.1) * |
| Different age (F) | Family habits (Under 20,21–30,31–40,41–50 > 51–60) * | Campus epidemic prevention (51–60 > Under 20,21–30) *, | Teachers (51–60 > 41–50) * | Emotions (21–30,3 > 51–60) * |
| Different Health status(F) | public consensus (1,4,2,5,6 > 3) * | Campus epidemic prevention (1,2,5,6 > 3) * | Epidemic prevention steps (1,6 > 3) * | pain sensitivity (6 > 1) * |
* p < 0.01.
Figure 5Of key factors for epidemic prevention in north Taiwan.
Of awareness, attitudes, and behaviors in relation to COVID-19 prevention among citizens in Central area and of their physical–mental health.
| Background | Cognition | Attitude | Behavior | Physical and Mental Health |
|---|---|---|---|---|
| High cognition | Epidemic-prevention campaign (4.2) | Life alertness (4.2) | Voluntarily wearing masks (4.0) | Anxiety (3.0) |
| Low cognition | Personal consensus (2.7) | Information gathering (3.0) | Compliance with public regulations (3.7) | Enthusiasm (2.6) |
| Different gender | personal and family habits (3.5:4.0) * | Media information (3.8:4.3) * | Epidemic prevention steps (3.7:3.9) * | Insomnia (2.4: 2.2) * |
| Different age (F) | Personal consensus (Under 20 > 21–30) family consensus (Under 20 > 21–30) * | Sensitivity (Under 20 > 21–30) | Epidemic prevention steps (Under 20 > 21–30) * | Emotions (Under 20 > Over 61) * |
| Different Health status(F) | NS | NS | NS | Emotions(1,4,6 > 5) |
* p < 0.01.
Figure 6Of key factors for epidemic prevention in central Taiwan.
Of awareness, attitudes, and behaviors in relation to COVID-19 prevention among citizens in Southern area and of their physical–mental health.
| Background | Cognition | Attitude | Behavior | Physical and Mental Health |
|---|---|---|---|---|
| High cognition | Personal consensus (4.3) | Campus alertness (4.2) | Voluntarily wearing masks (4.2) | Emotions (3.2) |
| Low cognition | Epidemic-prevention campaign (4.0) | Life alertness (4.1) | Teachers’ reactions (3.7) | Ability deterioration (2.6) |
| Different gender | Public consensus (3.7:4.2) * | NS | NS | NS |
| Different age (F) | NS | NS | Expert advice(Under 20 > 21–30) * | Stress (31–40 > 21–30) * |
* p < 0.01.
Figure 7Of key factors for epidemic prevention in southern Taiwan.
Of awareness, attitudes, and behaviors in relation to COVID-19 prevention among citizens in Eastern area and of their physical–mental health.
| Background | Cognition | Attitude | Behavior | Physical and Mental Health |
|---|---|---|---|---|
| High cognition | Family habits (3.9) | Cooperation awareness (4.1) | Compliance with epidemic prevention measures (3.9) | Anxiety (3.6) |
| Low cognition | Propaganda and Epidemic Prevention (3.5) | Life alertness (3.8) | Community cleanliness (3.0) | Decreased ability (2.6) |
| Different Health status(F) | Public places(1 > 3,2) * | NS | NS | pain sensitivity(4 > 1) * |
* p < 0.01.
Figure 8Of key factors for epidemic prevention in east Taiwan.
Of awareness, attitudes, and behaviors in relation to COVID-19 prevention among citizens in Offshore islands and of their physical–mental health.
| Cognition | Attitude | Behavior | Physical and Mental Health | |
|---|---|---|---|---|
| High cognition | Family epidemic prevention, personal consensus, public consensus (4.3) | Life alertness, campus alertness (4.2) | Compliance with public measures, voluntarily wearing masks (4.1) | Anxiety (3.1) |
| Low cognition | Family habits (3.8) | Epidemic prevention knowledge, teachers’ advice (3.9) | Suggestions from friends and family, community cleaning (3.6) | Sense of urgency (2.9) |
| Different gender | Epidemic Prevention(4.3:3.5) * | NS | Message sharing(3.8:3.9) * | Pain sensitivity (2.6:3.2) * |
| Different age (F) | NS | Media information (Under 20,21–30,31–40,41–50 > Over 61; Under 20 > 31–40) * | Epidemic prevention steps (Under 20,21–30,31–40,41–50 > Over 61) * | Pain sensitivity (4 > Under 20,21–30,31–40) * |
* p < 0.01.
Figure 9Of key factors for epidemic prevention in offshore islands Taiwan.