| Literature DB >> 36054189 |
Marino A Bruce1,2,3,4, Bettina M Beech1,2,3,4, Dulcie Kermah5, Shanelle Bailey5, Nicole Phillips6, Harlan P Jones6, Janice V Bowie1,4,7, Elizabeth Heitman1,8, Keith C Norris1,4,9, Keith E Whitfield4,10, Roland J Thorpe1,4,7.
Abstract
Religious institutions have been responsive to the needs of Black men and other marginalized populations. Religious service attendance is a common practice that has been associated with stress management and extended longevity. The objective of this study was to examine the relationship between religious service attendance and all-cause mortality among Black men 50 years of age and older. Data for this study were from NHANES III (1988-1994). The analytic sample (n = 839) was restricted to participants at least 50 years of age at the time of interview who self-identified as Black and male. Mortality was the primary outcome for this study and the NHANES III Linked Mortality File was used to estimate race-specific, non-injury-related death rates using a probabilistic matching algorithm, linked to the National Death Index through December 31, 2015, providing up to 27 years follow-up. The primary independent variable was religious service attendance, a categorical variable indicating that participants attended religious services at least weekly, three or fewer times per month, or not at all. The mean age of participants was 63.6±0.3 years and 36.4% of sample members reported that they attended religious services one or more times per week, exceeding those attending three or fewer times per month (31.7%), or not at all (31.9%). Cox proportional hazard logistic regression models were estimated to determine the association between religious service attendance and mortality. Participants with the most frequent religious service attendance had a 47% reduction of all-cause mortality risk compared their peer who did not attend religious services at all (HR 0.53, CI 0.35-0.79) in the fully adjusted model including socioeconomic status, non-cardiovascular medical conditions, health behaviors, social support and allostatic load. Our findings underscore the potential salience of religiosity and spirituality for health in Black men, an understudied group where elevated risk factors are often present.Entities:
Mesh:
Year: 2022 PMID: 36054189 PMCID: PMC9439243 DOI: 10.1371/journal.pone.0273806
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Algorithm used to define the study cohort.
Baseline characteristics of Black Men 50 and older in NHANES III by self-reported religious service attendance.
| Total | 1+ times per week | ≤ 3 times per month | No attendance |
| |
|---|---|---|---|---|---|
| Mean age (yrs) [Mean (SE)] | 63.6 (0.3) | 63.9 (0.7) | 63.3 (0.6) | 63.7 (0.7) | 0.854 |
| Mean allostatic load score [Mean (SE)] | 3.2 (0.1) | 3.2 (0.1) | 3.3 (0.1) | 3.1 (0.1) | 0.74 |
| Education [n,%] | |||||
| <High school | 363 (38.1) | 112 (31.1) | 123 (40.6) | 127 (43.8) | |
| High school/GED | 353 (45.9) | 136 (45.2) | 107 (46.7) | 110 (46.0) | |
| Some college + | 109 (16.0) | 56 (23.7) | 28 (12.7) | 25 (10.2) | |
| Poor (poverty-income ratio<2) [n,%] | 467 (58.0) | 146 (49.5) | 152 (60.0) | 168 (65.4) | |
| No health insurance [n,%] | 45 (6.3) | 16 (5.4) | 13 (6.5) | 16 (7.0) | |
| Self-rated health [n,%] | |||||
| Excellent/Very good | 209 (26.3) | 81 (28.7) | 70 (27.7) | 58 (22.7) | |
| Good | 291 (35.6) | 123 (41.3) | 81 (31.0) | 86 (33.2) | |
| Fair/Poor | 339 (38.1) | 101 (30.1) | 114 (41.3) | 123 (44.1) | |
| Smoking [n,%] | |||||
| Never smoker | 209 (25.2) | 84 (27.7) | 75 (30.7) | 50 (17.4) | |
| Former smoker | 344 (39.4) | 156 (50.1) | 94 (31.8) | 94 (34.6) | |
| Current smoker | 285 (35.4) | 65 (22.2) | 96 (37.5) | 123 (48.0) | |
| Physically active [n,%] | 485 (59.8) | 201 (67.0) | 168 (65.2) | 116 (47.0) | |
| Alcohol use [n,%] | |||||
| Non-drinkers | 463 (51.5) | 203 (63.1) | 135 (46.4) | 125 (43.5) | |
| 1–30 drinks/month | 303 (39.5) | 98 (35.5) | 103 (43.0) | 101 (40.6) | |
| >30 drinks/month | 71 (9.0) | 4 (1.4) | 27 (10.6) | 39 (15.9) | |
| HEI score [Mean (SE)] | 58.8 (0.5) | 61.6(0.8) | 57.5(0.8) | 57.0(0.9) | |
| Non CV comorbidities [n,%] | |||||
| Lung disease | 70 (7.6) | 22 (6.2) | 16 (5.4) | 31 (10.8) | |
| Cancer | 44 (4.9) | 15 (5.1) | 15 (5.2) | 14 (4.6) | |
| Thyroid disease | 17 (1.8) | 7 (2.2) | 5 (1.4) | 5 (1.7) | |
| Rheumatoid arthritis | 52 (6.0) | 18 (5.7) | 14 (4.8) | 20 (7.7) | |
| Asthma | 51 (6.9) | 14 (6.9) | 17 (6.4) | 20 (7.5) | |
| Social support [Mean (SE)] | |||||
| Number of phone calls with family, friends, or neighbors/week | 9 (1.0) | 7 (1) | 10 (1) | 14 (1) | |
| Number of visits with friends or relatives/year | 69 (1.0) | 71 (1) | 71 (1) | 64 (1) | |
| Number of visits with other neighbors/year | 83 (1.0) | 71 (1) | 97 (1) | 88 (1) |
aEstimate is unreliable, as the sample size was smaller than that recommended in the NHANES analytic guidelines for the design effect and estimated proportion [22,23].
The data presented are the weighted percentages, which may not add up to 100.
SE: Standard error; CV-cardiovascular; HEI—Healthy Eating Index; GED- General Educational Diploma; NHANES III- Third National Health and Nutrition Examination Survey.
Fig 2Unadjusted Kaplan-Meier curves for all-cause mortality by church attendance.
Hazard ratios for all-cause mortality by religious service attendance for Black Men 50 and older in NHANES III.
| Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | ||
| No attendance | Reference | Reference | Reference | Reference | Reference |
|
| 0.79 | 0.76 | 0.83 | 0.70 | 0.70 |
|
| 0.71 | 0.59 | 0.62 | 0.51 | 0.53 |
NHANES III—Third National Health and Nutrition Examination Survey.
• Model 1 adjusts for age, asthma, chronic obstructive pulmonary disease, non-skin cancer, thyroid disease, rheumatoid arthritis, social support, and self-rated health.
• Model 2 adds education, poverty-income ratio, and health insurance status to the covariates in Model 1.
• Model 3 adds health behaviors and the healthy eating index score to the covariates in Model 2.
• Model 4 adds allostatic load score to the covariates in Model 3.