| Literature DB >> 33730243 |
Andrew Village1, Leslie J Francis2.
Abstract
Psychological well-being was assessed by affect balance (a function of negative and positive affect) during the first COVID-19 lockdown in 2020 among 4449 clergy and laity in the Church of England. Better well-being was promoted by preference for feeling over thinking in the psychological type judging process, being older, belonging to the Evangelical wing of the Church, and living in rural areas. Psychological well-being was lowered among people with a general tendency toward neuroticism, among those with an Epimethean (Sensing-Judging: SJ) psychological temperament, among Anglo-Catholics, among those living in inner cities, among clergy, and among those living with children under 13. The mitigating effects of relevant support were evident for both clergy and lay people. A key finding was that it was those sources of support that were least often rated highly that may have had the strongest positive effects on well-being, particularly on those groups where well-being was lowest.Entities:
Keywords: Balanced affect; COVID-19; Neuroticism; Psychological type; Religion; Support; Temperament
Mesh:
Year: 2021 PMID: 33730243 PMCID: PMC7970768 DOI: 10.1007/s10943-021-01225-6
Source DB: PubMed Journal: J Relig Health ISSN: 0022-4197
Profile of Church of England participants in the survey
| % | ||
|---|---|---|
| Sex | Female | 60.4 |
| Male | 39.6 | |
| Age | 20 s | 2.9 |
| 30 s | 6.2 | |
| 40 s | 13.0 | |
| 50 s | 21.3 | |
| 60 s | 29.3 | |
| 70 s | 22.8 | |
| 80 s+ | 4.5 | |
| Tradition | Anglo-Catholic | 29.3 |
| Broad Church | 52.0 | |
| Evangelical | 18.8 | |
| Location | Rural | 35.9 |
| Town/suburb | 54.9 | |
| Inner city | 9.2 | |
| Ordained | Laity | 70.6 |
| Clergy | 29.4 | |
| Others in | Live alone | 14.8 |
| Household | Children (< 13) | 11.0 |
| Teenagers | 10.5 | |
| Other adults | 84.1 | |
| Had virus | 3.3 | |
| Self-isolated | 33.1 |
N = 4449
Correlation matrix for whole sample
| 14 | 13 | 12 | 11 | 10 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Affect balance | − .10*** | − .02 | − .07*** | .11*** | .06*** | − .08*** | − .34*** | − .01 | .06*** | .07*** | .07*** | .18*** | .03 |
| 2 | Sex (female) | − .06*** | − .18*** | − .05*** | .05** | − .01 | − .14*** | .07*** | .07*** | − .01 | .18*** | .05*** | .02 | |
| 3 | Age | − .35*** | − .11*** | − .17*** | .18*** | − .05** | − .03 | − .19*** | .11*** | − .01 | .01 | .00 | ||
| 4 | Extraversion | .03* | .03 | .01 | .04** | .07*** | − .04* | − .13*** | − .08*** | .19*** | .16*** | |||
| 5 | Feeling | .00 | .10*** | − .02 | .05** | .00 | − .06*** | .01 | − .10*** | .29*** | ||||
| 6 | Perceiving | .02 | .14*** | .03* | .03 | .01 | − .02 | − .03* | − .53*** | |||||
| 7 | SJ | − .06*** | − .21*** | − .05** | .03 | .00 | − .04** | − .01 | ||||||
| 8 | Neuroticism | .04** | − .06*** | .01 | − .07*** | − .02 | .01 | |||||||
| 9 | Anglo-catholic | − .02 | .11*** | .10*** | − .07*** | − .31*** | ||||||||
| 10 | Evangelical | .06*** | − .02 | − .03* | − .02 | |||||||||
| 11 | Rural | − .06*** | .01 | − .24*** | ||||||||||
| 12 | Inner city | .05*** | .05** | |||||||||||
| 13 | Ordained | .08*** | ||||||||||||
| 14 | Children |
N = 4449. * p < .05; ** p < .01; *** p < .001
Hierarchical linear regression of affect balance
| Model | |||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| Sex (female) | .03 | .01 | .04** | .03* | .02 |
| Age | .18*** | .18*** | .12*** | .12*** | .09*** |
| Extraversion | .06*** | .02 | .01 | .01 | |
| Feeling | .06** | .06*** | .06*** | .06*** | |
| SJ temperament | − .02 | − .02 | − .03 | − .03* | |
| Eysenck neuroticism | − .32*** | − .32*** | − .32*** | ||
| Anglo-catholic | − .05*** | − .05** | |||
| Evangelical | .04** | .05** | |||
| Rural | .06*** | ||||
| Inner city | − .03* | ||||
| Ordained | − .03* | ||||
| Children | − .04** | ||||
| .03 | .04 | .13 | .14 | .15 | |
| Δ | .03*** | .01*** | .10*** | .01*** | .01*** |
N = 4449. * p < .05; ** p < .01; *** p < .001. β = Standardised beta weight
Correlation matrix of sources of support for those receiving ministry
| 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Affect balance | .14*** | .12*** | .12*** | .10*** | .19*** | .17*** | .15*** | .14*** |
| 2 | Household | .04 | .07*** | .12*** | .09*** | .16*** | .16*** | .26*** | |
| 3 | Family elsewhere | .11*** | .14*** | .21*** | .15*** | .32*** | .47*** | ||
| 4 | Friends | .11*** | .12*** | .33*** | .18*** | .49*** | |||
| 5 | Neighbours | .07** | .15*** | .25*** | .17*** | ||||
| 6 | Local clergy | .30*** | .36*** | .53*** | |||||
| 7 | Local congregation | .28*** | .31*** | ||||||
| 8 | Diocese | .53*** | |||||||
| 9 | Church nationally |
N = 1605. ** p < .01; *** p < .001. Coefficients are Spearman’s ρ
Multiple regression of affect balance against sources of support for those receiving ministry
| Source of support: | Support level | |||
|---|---|---|---|---|
| None | Some | Well | ||
| % | % | % | ||
| Household | 9 | 13 | 78 | .08** |
| Family elsewhere | 13 | 36 | 51 | .04 |
| Friends | 6 | 46 | 49 | .07* |
| Neighbours | 23 | 42 | 36 | .12*** |
| Local clergy | 25 | 40 | 35 | .03 |
| Local congregation | 16 | 45 | 39 | .00 |
| Diocese | 54 | 34 | 12 | .03 |
| Church nationally | 47 | 42 | 11 | .10** |
N = 1605. * p < .05; ** p < .01; *** p < .001; β = Standardised beta weight for regression with affect balance
Fig. 1Interaction effect of age with level of support from neighbours on levels of affect balance among those receiving ministry. Lines show correlation of affect balance on age for those in their 20 s (solid line) and those in their 80 s (broken line)
Correlation matrix of sources of support for those giving ministry
| 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Affect balance | .20*** | .15*** | .15*** | .14*** | .22*** | .14*** | .19*** | .17*** |
| 2 | Household | .08** | .16*** | .14*** | .14*** | .16*** | .24*** | .23*** | |
| 3 | Ministry team | .28*** | .29*** | .30*** | .33*** | .26*** | .51*** | ||
| 4 | Congregation | .21*** | .24*** | .25*** | .28*** | .48*** | |||
| 5 | Public | .25*** | .23*** | .24*** | .21*** | ||||
| 6 | IT experts | .27*** | .23*** | .26*** | |||||
| 7 | Diocese | .55*** | .79*** | ||||||
| 8 | Bishop | .54*** | |||||||
| 9 | Church nationally |
N = 1139. For explanation, see Table 4
Multiple regression of affect balance against sources of support for those giving ministry
| Source of support: | Support level | |||
|---|---|---|---|---|
| None | Some | Well | ||
| % | % | % | ||
| Household | 3 | 15 | 82 | .12** |
| Ministry team | 7 | 36 | 57 | .09* |
| Congregation | 8 | 46 | 46 | − .03 |
| IT experts | 24 | 41 | 35 | .04 |
| Public | 31 | 44 | 25 | .15*** |
| Diocese | 14 | 51 | 35 | .00 |
| Bishop | 18 | 45 | 38 | .02 |
| Church nationally | 24 | 52 | 24 | .10** |
N = 1139. For explanation, see Table 5