| Literature DB >> 34514548 |
Meguellati Achour1, Dahmane Souici2, Benaouda Bensaid3, Nurulhuda Binti Ahmad Zaki4, Ameen Ahmed Abdullah Alnahari4.
Abstract
The COVID-19 pandemic has been a global phenomenon defined by uncertainty, fear and grief which has resulted in record high levels of stress and anxiety in the first half of 2020. It also led to an increased interest in the study of the role of belief, religion, and spirituality as responses to coping with and responding to the pandemic throughout different societal domains. This study explores the impact of anxiety and stress caused by the pandemic on Muslim academics' subjective well-being. It also explores correlations between coping and spirituality by assessing Muslim academics' coping strategies in overcoming stress and anxiety. To this end, this study sampled 480 Muslim academics ages 25-60 years residing in Muslim countries. The findings show a negative yet significant correlation between anxiety and well-being while also showing a positive and significant correlation between coping strategies and subjective well-being. The research also points to the role of coping strategies in reducing anxiety and stress, the resulting improvements in well-being for Muslim academics, and the mediating effect of coping strategies between anxiety, stress, and well-being for Muslim academics.Entities:
Keywords: Anxiety; COVID-19; Coping strategies; Muslim academics; Religiosity; Subjective well-being
Mesh:
Year: 2021 PMID: 34514548 PMCID: PMC8435299 DOI: 10.1007/s10943-021-01422-3
Source DB: PubMed Journal: J Relig Health ISSN: 0022-4197
Demographic variables of the sample (N = 480)
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Gender | Male | 343 | 71.5% |
| Female | 137 | 28.5% | |
| Age | 25–40 Years | 263 | 54.8% |
| 41–50 Years | 148 | 30.8% | |
| More Than 50 Years | 69 | 14.4% | |
| Marital status | Single | 110 | 22.9% |
| Married | 362 | 75.4% | |
| Divorced | 8 | 1.7% | |
| Country | Arab | 334 | 69.6% |
| Non-Arab | 146 | 30.4% | |
| Working experience | Less than 5 Years | 180 | 37.5% |
| 6–10 Years | 135 | 28.1% | |
| More than 10 Years | 165 | 34.4% | |
| Child number | No Child | 142 | 29.6% |
| 1 Child | 56 | 11.7% | |
| 2 Children | 76 | 15.8% | |
| More than 2 Children | 206 | 42.9% |
Correlation between coping strategies, F1, F2, F3, F4, F5, well-being and anxiety
| M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|---|
| 1. Coping Strategies | 124.74 | 15.45 | 1 | ||||||
| 2. Factor 1 | 41.80 | 4.86 | .753** | 1 | |||||
| 3. Factor 2 | 27.49 | 5.99 | .776** | .495** | 1 | ||||
| 4. Factor 3 | 21.73 | 4.60 | .682** | .519** | .376** | 1 | |||
| 5. Factor 4 | 21.78 | 4.86 | .592** | .185** | .274** | .162** | 1 | ||
| 6. Factor 5 | 11.94 | 2.22 | .500** | .234** | .234** | .167** | .451** | 1 | |
| 7. Well-Being | 61.20 | 8.50 | .421** | .399** | .306** | .218** | .228** | .274** | 1 |
| 8. Anxiety | 27.73 | 6.21 | .118** | .068 | .114* | .085 | .081 | .012 | − .248** |
*p < 0.05, **p < 0.01
Multiple regression analysis testing moderating effects of coping strategies on the relationship between anxiety and well-being
| Variables | B | Beta | R2 | R | F | t | P |
|---|---|---|---|---|---|---|---|
| D.V: Well-Being | |||||||
| Anxiety | −.410 | −.299 | .062 | .248 | 31.373 | − 7.374 | .000 |
| Coping strategies | .247 | .453 | .269 | .519 | 135.452 | 11.123 | .000 |
| Interaction (Anxiety* Coping Strategies) | −.227 | −.028 | .270 | .519 | 0.457 | −.676 | .499 |
*p < .05, **p < .01
Multiple regression analysis testing mediating effects of coping strategies via the relationship of anxiety with well-being
| Model one | Model two | Model three | Model four | |
|---|---|---|---|---|
| Coping strategies | Well-being | Well-being | Well-being | |
| Anxiety | .010*** | .000*** | .000*** | |
| Coping Strategies | .000*** | .000*** | ||
| .014 | .062 | .174 | .263 | |
| Adj | .012 | .060 | .172 | .260 |
| 6.610 | 31.171 | 100.771 | 85.323 |
DV: Well-being