| Literature DB >> 33721174 |
Natalia Banasik-Jemielniak1, Dariusz Jemielniak2, Wojciech Pędzich3.
Abstract
Based on a computational analysis of a large dataset, this study explores if there is a significant longevity effect of intercessory prayer for a named individual's well-being, if he receives a very high number of prayers per annum for an extended period. We relied on an observational cohort study, based on data from 1988 to 2018, including 857 Roman Catholic bishops, 500 Catholic priests, and 3038 male academics from six countries. We measured the covariance of the mean length of life, controlled for nationality. It was found that there is a main effect for occupation F(2, 4391) = 4.07, p = 0.017, ηp2 = 0.002, with pairwise comparisons indicating significant differences between the mean life duration of bishops (M = 30,489) and of priests (M = 29,894), but none between the academic teachers (M = 30,147) and either of the other groups. A comparison analysis between bishops from the largest and the smallest dioceses showed no significant difference t(67.31) = 1.61, p = 0.11. The first analysis proved that bishops live longer than priests, but due to a marginal effect size this result should be treated with caution. No difference was found between the mean length of life of bishops from the largest and the smallest dioceses.Entities:
Keywords: Faith healing; Intercessory prayer; Occupational longevity; WikiData
Mesh:
Year: 2021 PMID: 33721174 PMCID: PMC8542532 DOI: 10.1007/s10943-021-01214-9
Source DB: PubMed Journal: J Relig Health ISSN: 0022-4197
Contrast of fundamental demographic data within the three researched groups and general country population in 2018
| Bishops | Priests | Academic teachers | General population | |||||
|---|---|---|---|---|---|---|---|---|
| Gender | Education | Gender | Education | Gender | Education | Gender | Education | |
| USA | Male 234 [100] | Tertiary 234 [100] | Male 109 [100] | Tertiary 109 [100] | Male 2142 [100] | Tertiary 2142 [100] | Male 181.6 mln [51.2] Female 173.1 mln [48.8] | Below secondary 16 mln [9.4] secondary 73.9 mln [43.4] tertiary 80.7 [47.4] |
| France | Male 108 [100] | Tertiary 108 [100] | Male 158 [100] | Tertiary 158 [100] | Male 380 [100] | Tertiary 380 [100] | Male 33.3 mln [51.2] female 31.7 mln [48.8] | Below secondary 6.7 mln [20.6] secondary 13.9 mln [42.5] tertiary 12.1 mln [36.9] |
| Italy | Male 205 [100] | Tertiary 205 [100] | Male 158 [100] | Tertiary 158 [100] | Male 212 [100] | Tertiary 212 [100] | Male 30.6 mln [51.5] female 28.8 mln [48.5] | Below secondary 12.6 mln [38.3] secondary 14 mln [42.4] tertiary 6.4 mln [19.3] |
| Poland | Male 48 [100] | Tertiary 48 [100] | Male 50 [100] | Tertiary 50 [100] | Male 184 [100] | Tertiary 184 [100] | Male 19.7 mln [51.5] female 18.5 mln [48.5] | Below secondary 16 mln [7.6] secondary 13.3 mln [61.5] tertiary 6.7 mln [30.9] |
| Brazil | Male 197 [100] | Tertiary 197 [100] | Male 30 [100] | Tertiary 30 [100] | Male 55 [100] | Tertiary 55 [100] | Male 107.8 mln [51.5] female 101.5 mln [48.5] | Below secondary 52.7 mln [47] secondary 38.8 mln [34.6] tertiary 20.6 mln [18.4] |
| Mexico | Male 65 [100] | Tertiary 65 [100] | Male 16 [100] | Tertiary 16 [100] | Male 66 [100] | Tertiary 66 [100] | Male 66.6 mln [51.5] female 62.8 mln [48.5] | Below secondary 37.4 mln [60.9] secondary 13 mln [21.2] tertiary 11.1 mln [18] |
OECD, Adult education level, 2020, https://data.oecd.org/eduatt/adult-education-level.htm; United Nations, World Population Prospects 2019, https://population.un.org/wpp/DataQuery/
Adjusted means for dependent variable (length of life in days) for Catholic priests, bishops, and academic teachers
| Occupation | Mean | Std. Error | 95% confidence interval | |
|---|---|---|---|---|
| Lower bound | Upper bound | |||
| Priests | 29,894,279 | 172,442 | 29,556,205 | 30,232,353 |
| Bishops | 30,489,014 | 138,900 | 30,216,699 | 30,761,328 |
| Academic teachers | 30,147,128 | 71,423 | 30,007,104 | 30,287,152 |
Contrast of average lifespans in days within the three researched groups with standard deviations and general country population in 2018 (United Nations Development Programme, 2018)
| Bishops | Priests | Academic teachers | General population | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SD | SD | SD | ||||||||
| USA | 30,215 | 3400 | 234 | 29,093 | 3725 | 109 | 30,375 | 3821 | 2142 | 29,037 |
| France | 30,906 | 3064 | 108 | 30,824 | 3550 | 158 | 29,978 | 4118 | 380 | 30,206 |
| Italy | 30,588 | 3215 | 205 | 30,054 | 4401 | 158 | 29,920 | 3772 | 212 | 30,389 |
| Poland | 28,799 | 3691 | 48 | 27,700 | 5957 | 50 | 29,948 | 3960 | 184 | 28,416 |
| Brazil | 30,203 | 3275 | 197 | 28,870 | 4385 | 30 | 29,952 | 4033 | 55 | 27,649 |
| Mexico | 29,918 | 3675 | 65 | 28,336 | 3234 | 16 | 28,517 | 4035 | 66 | 28,234 |
Fig. 1Life duration in the studied groups by occupation, each dot represents one individual, the diamond signifies the average longevity in days
Fig. 2Average longevity in the study groups by country and occupation, whiskers are 95% confidence intervals