COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in Malaysia Article Swipe
Mohd Radzniwan A Rashid
,
Sharifah Najwa Syed Mohamad
,
Ahmad Izzat Ahmad Tajjudin
,
Nuruliza Roslan
,
Aida Jaffar
,
Fathima Begum Syed Mohideen
,
Faizul Helmi Addnan
,
Nizam Baharom
,
Muslimah Ithnin
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20054476
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20054476
This study aimed to explore the socio-demographic characteristics, mental health status, and perceived causes of pandemic fatigue with COVID-19 pandemic fatigue among the general population of Malaysia. The data was collected online during the transition from the COVID-19 pandemic phase to the endemic phase in Malaysia from 1 to 30 April 2022. Sociodemographic data, Depression Anxiety Stress Scale-21 (DASS-21), perceived causes of pandemic fatigue, and the Fatigue Assessment Scale (FAS) were included in the survey. The chi-square test and a simple logistic regression analysis were used to identify predictors of pandemic fatigue. The completed survey (N = 775) included individuals aged 18 years or above [mean 31.98 (SD = 12.16)] from all states in Malaysia. Pandemic fatigue prevalence was 54.2%. Severe to extremely severe depression, anxiety, and stress symptoms were detected in 11.2%, 14.9%, and 9.1% of the participants, respectively. Younger age, non-Malay ethnicity, living alone, and higher income categories were significantly higher in the fatigued group. Higher DASS-21 scores on all domains were associated with higher FAS scores. Meanwhile, high scores for perceived tiredness from complying with the COVID-19 Standard Operating Procedure (SOP), perceived risk of infection from COVID-19, perceived hardship due to the pandemic, perceived public complacency during the pandemic, and perceived changes due to the pandemic were associated with a higher FAS score. This study provides valuable information for policymakers and mental health professionals worldwide on pandemic fatigue and its associated factors, including mental health status in Malaysia.
Related Topics
Concepts
Pandemic
Mental health
Anxiety
Cross-sectional study
Medicine
Depression (economics)
Public health
Perceived Stress Scale
Population
Logistic regression
Gerontology
Demography
Coronavirus disease 2019 (COVID-19)
Psychiatry
Environmental health
Disease
Stress (linguistics)
Nursing
Macroeconomics
Linguistics
Pathology
Infectious disease (medical specialty)
Internal medicine
Sociology
Philosophy
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph20054476
- https://www.mdpi.com/1660-4601/20/5/4476/pdf?version=1677819293
- OA Status
- gold
- Cited By
- 23
- References
- 83
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323046038
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323046038Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph20054476Digital Object Identifier
- Title
-
COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in MalaysiaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-02Full publication date if available
- Authors
-
Mohd Radzniwan A Rashid, Sharifah Najwa Syed Mohamad, Ahmad Izzat Ahmad Tajjudin, Nuruliza Roslan, Aida Jaffar, Fathima Begum Syed Mohideen, Faizul Helmi Addnan, Nizam Baharom, Muslimah IthninList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph20054476Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/20/5/4476/pdf?version=1677819293Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1660-4601/20/5/4476/pdf?version=1677819293Direct OA link when available
- Concepts
-
Pandemic, Mental health, Anxiety, Cross-sectional study, Medicine, Depression (economics), Public health, Perceived Stress Scale, Population, Logistic regression, Gerontology, Demography, Coronavirus disease 2019 (COVID-19), Psychiatry, Environmental health, Disease, Stress (linguistics), Nursing, Macroeconomics, Linguistics, Pathology, Infectious disease (medical specialty), Internal medicine, Sociology, Philosophy, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 11, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
83Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.aimed | 2 |
| abstract_inverted_index.among | 21 |
| abstract_inverted_index.data, | 53 |
| abstract_inverted_index.phase | 39, 43 |
| abstract_inverted_index.study | 1, 217 |
| abstract_inverted_index.years | 102 |
| abstract_inverted_index.(SOP), | 183 |
| abstract_inverted_index.11.2%, | 132 |
| abstract_inverted_index.14.9%, | 133 |
| abstract_inverted_index.54.2%. | 119 |
| abstract_inverted_index.Higher | 157 |
| abstract_inverted_index.Severe | 120 |
| abstract_inverted_index.Stress | 56 |
| abstract_inverted_index.alone, | 145 |
| abstract_inverted_index.causes | 13, 60 |
| abstract_inverted_index.during | 32, 199 |
| abstract_inverted_index.group. | 156 |
| abstract_inverted_index.health | 9, 225, 237 |
| abstract_inverted_index.higher | 147, 152, 166, 213 |
| abstract_inverted_index.income | 148 |
| abstract_inverted_index.living | 144 |
| abstract_inverted_index.mental | 8, 224, 236 |
| abstract_inverted_index.online | 31 |
| abstract_inverted_index.public | 197 |
| abstract_inverted_index.score. | 215 |
| abstract_inverted_index.scores | 159, 171 |
| abstract_inverted_index.severe | 123 |
| abstract_inverted_index.simple | 80 |
| abstract_inverted_index.states | 112 |
| abstract_inverted_index.status | 238 |
| abstract_inverted_index.stress | 127 |
| abstract_inverted_index.survey | 94 |
| abstract_inverted_index.12.16)] | 109 |
| abstract_inverted_index.Anxiety | 55 |
| abstract_inverted_index.DASS-21 | 158 |
| abstract_inverted_index.Fatigue | 66 |
| abstract_inverted_index.Younger | 140 |
| abstract_inverted_index.changes | 204 |
| abstract_inverted_index.domains | 162 |
| abstract_inverted_index.endemic | 42 |
| abstract_inverted_index.explore | 4 |
| abstract_inverted_index.fatigue | 16, 20, 116, 230 |
| abstract_inverted_index.general | 23 |
| abstract_inverted_index.scores. | 168 |
| abstract_inverted_index.status, | 10 |
| abstract_inverted_index.survey. | 74 |
| abstract_inverted_index.COVID-19 | 18, 37, 179 |
| abstract_inverted_index.Malaysia | 45 |
| abstract_inverted_index.Pandemic | 115 |
| abstract_inverted_index.Scale-21 | 57 |
| abstract_inverted_index.Standard | 180 |
| abstract_inverted_index.analysis | 83 |
| abstract_inverted_index.anxiety, | 125 |
| abstract_inverted_index.detected | 130 |
| abstract_inverted_index.factors, | 234 |
| abstract_inverted_index.fatigue, | 63 |
| abstract_inverted_index.fatigue. | 91 |
| abstract_inverted_index.fatigued | 155 |
| abstract_inverted_index.hardship | 191 |
| abstract_inverted_index.identify | 87 |
| abstract_inverted_index.included | 71, 98 |
| abstract_inverted_index.logistic | 81 |
| abstract_inverted_index.pandemic | 15, 19, 38, 62, 90, 208, 229 |
| abstract_inverted_index.provides | 218 |
| abstract_inverted_index.symptoms | 128 |
| abstract_inverted_index.valuable | 219 |
| abstract_inverted_index.COVID-19, | 189 |
| abstract_inverted_index.Malaysia. | 26, 114, 240 |
| abstract_inverted_index.Operating | 181 |
| abstract_inverted_index.Procedure | 182 |
| abstract_inverted_index.collected | 30 |
| abstract_inverted_index.completed | 93 |
| abstract_inverted_index.complying | 176 |
| abstract_inverted_index.extremely | 122 |
| abstract_inverted_index.including | 235 |
| abstract_inverted_index.infection | 187 |
| abstract_inverted_index.non-Malay | 142 |
| abstract_inverted_index.pandemic, | 195, 201 |
| abstract_inverted_index.perceived | 12, 59, 173, 184, 190, 196, 203 |
| abstract_inverted_index.tiredness | 174 |
| abstract_inverted_index.worldwide | 227 |
| abstract_inverted_index.(DASS-21), | 58 |
| abstract_inverted_index.Assessment | 67 |
| abstract_inverted_index.Depression | 54 |
| abstract_inverted_index.Meanwhile, | 169 |
| abstract_inverted_index.associated | 164, 210, 233 |
| abstract_inverted_index.categories | 149 |
| abstract_inverted_index.chi-square | 76 |
| abstract_inverted_index.ethnicity, | 143 |
| abstract_inverted_index.population | 24 |
| abstract_inverted_index.predictors | 88 |
| abstract_inverted_index.prevalence | 117 |
| abstract_inverted_index.regression | 82 |
| abstract_inverted_index.transition | 34 |
| abstract_inverted_index.complacency | 198 |
| abstract_inverted_index.depression, | 124 |
| abstract_inverted_index.individuals | 99 |
| abstract_inverted_index.information | 220 |
| abstract_inverted_index.policymakers | 222 |
| abstract_inverted_index.participants, | 138 |
| abstract_inverted_index.professionals | 226 |
| abstract_inverted_index.respectively. | 139 |
| abstract_inverted_index.significantly | 151 |
| abstract_inverted_index.Sociodemographic | 52 |
| abstract_inverted_index.characteristics, | 7 |
| abstract_inverted_index.socio-demographic | 6 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5002719630 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I112982808 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.49000000953674316 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.98189383 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |