| Literature DB >> 35067840 |
Jay L Michaels1, Feng Hao2, Nicole Ritenour2, Naomi Aguilar2.
Abstract
This study aimed to test whether pre-pandemic religious service attendance relates to both lesser impact from the COVID-19 pandemic and lower levels of psychological distress among a sample of 645 American adults across nine US regions. A second aim was to test whether belongingness mediated these relationships. First, it was expected that more frequent pre-pandemic religious service attendance relates to belongingness, which mediates the religious service attendance and psychological distress association. Second, it was expected that people who felt greater belongingness also experienced less perceived impact from the pandemic. Results from a path model supported these hypotheses. This is among the first studies to provide empirical evidence for religion's association with psychological distress during the COVID-19 pandemic.Entities:
Keywords: Belongingness; COVID-19; Psychological distress; Religion; Well-being
Mesh:
Year: 2022 PMID: 35067840 PMCID: PMC8784213 DOI: 10.1007/s10943-021-01482-5
Source DB: PubMed Journal: J Relig Health ISSN: 0022-4197
Demographic characteristics
| Variable | Frequencies | ||
|---|---|---|---|
| Sex | – | – | Men = 317 Women = 327 Other = 1 |
| Age | 64.43 | 11.39 | (see Table |
| Geographic Region* | – | – | New England = 30 Mid Atlantic = 97 South = 157 Midwest = 126 Great Plains = 16 Rocky Mountain = 24 Southwest = 63 Pacific Coast = 126 Alaska/Hawai’i = 6 |
| Rural/Urban | – | – | Rural = 189 Suburban = 336 Urban = 120 |
| Type of Religion** | – | – | Christianity = 283 Judaism = 18 Buddhism = 3 No Religion = 327 Other = 14 |
| Frequency of Religious Service Attendance | 2.39 | 2.02 | Never = 389 Once per year = 37 A few times per year = 73 Once per month = 12 A few times per month = 18 Once per week = 93 More than once per week = 23 |
*All participants were from the USA; the frequency of participants residing in different geographic locations within this nation is noted
**Other religions were included in the survey (e.g., Islam), but no participants identified these other religions, thus they are omitted from this table. No additional demographic variables were obtained to maintain survey brevity and because other variables were not theoretically expected to relate to the key components of the model
Descriptive statistics for main study variables for the entire sample, religious versus nonreligious participants, and based on age group
| Group | Religious Service Attendance | Belongingness | COVID-19 Impact | Psychological Distress | |
|---|---|---|---|---|---|
| Full Sample | 645 (100%) | 2.39 (2.02) | 61.40 (12.68) | 2.88 (.82) | 29.53 (9.25) |
| Religious | 318 (49.3%) | 3.66 (2.17) | 63.83 (12.16) | 2.71 (.83) | 29.08 (9.48) |
| Non-religious | 327 (50.7%) | 1.15 (.66) | 59.04 (12.75) | 2.94 (.81) | 29.97 (9.01) |
| 18 to 29 | 4 (.6%) | 1.75 (1.50) | 46.50 (10.08) | 3.50 (.58) | 41.25 (17.48) |
| 30 to 39 | 24 (3.7%) | 2.17 (1.79) | 56.08 (12.13) | 3.33 (.76) | 36.58 (15.36) |
| 40 to 49 | 46 (7.1%) | 2.07 (1.79) | 55.43 (14.30) | 2.87 (.65) | 35.67 (12.62) |
| 50 to 59 | 96 (14.9%) | 2.35 (1.96) | 59.52 (14.11) | 2.90 (.79) | 29.21 (8.48) |
| 60 to 69 | 249 (38.6%) | 2.43 (2.09) | 62.10 (12.10) | 2.85 (.84) | 28.81 (8.90) |
| 70 or older | 226 (35.0%) | 2.45 (2.06) | 63.47 (11.70) | 2.85 (.84) | 28.26 (7.02) |
Frequency of participants engaging in social activities
| Activity | Percent “Yes” | Percent “No” |
|---|---|---|
| Went to a restaurant | 25.1% | 74.9% |
| Went to a movie theater | 0.5% | 99.5% |
| Visited friends or family | 40.5% | 59.5% |
| Went to a social event | 3.1% | 96.9% |
| Attended a religious service | 5.0% | 95.0% |
Each question asked if the participant had done the activity during the prior week
Bivariate correlations for main study variables
| 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|
| 1. DASS Score | – | – | – | – | – | – |
| 2. Belongingness | − .51** | – | – | – | – | – |
| 3. COVID-19 Impact | .29** | −.11 | – | – | – | – |
| 4. Religious Service Attendance | .03 | .15** | – | – | – | – |
| 5. Sex | .02 | .09* | .12* | .00 | – | – |
| 6. Type of Residence | .05 | −.11 | .09 | −.27** | −.04 | – |
Sex is coded as a dichotomous variable where 0 = male, 1 = female
*p < .05, **p < .01
Fig. 1Path analysis diagram. Based on theoretical rationale, the model predicts that people who report more frequent religious service attendance during the past year (before June 2020) experience greater belongingness, and this belongingness relates to diminished perceived impact from the COVID-19 pandemic and reduces symptoms of depression, anxiety, and stress. Note sex is coded 0 = male, 1 = female; urban/rural is coded 1 = rural, 2 = suburban, 3 = urban
Standardized coefficients of path analysis
| Belongingness | COVID-19 Impact | Well-being | |
|---|---|---|---|
| Attendance of Religious Services | 0.147*** | – | 0.126*** |
| Belongingness | – | −0.113** | −0.493*** |
| COVID-19 Impact | – | – | 0.241*** |
| Female | – | – | 0.033 |
| Type of Residence | – | – | 0.013 |
| RMSEA | 0.079 | ||
| CFI | 0.930 | ||
*p < 0.05; **p < 0.01; ***p < 0.001