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. Author manuscript; available in PMC: 2013 Feb 1.
Published in final edited form as: Am J Geriatr Psychiatry. 2012 Feb;20(2):188–192. doi: 10.1097/JGP.0b013e31822ccd51

Religion and the presence and severity of depression in older adults

R David Hayward 1,2, Amy D Owen 3, Harold G Koenig 1,3, David C Steffens 2,4, Martha E Payne 1,2
PMCID: PMC3266521  NIHMSID: NIHMS317186  PMID: 22273738

Abstract

Objectives

To examine the associations of dimensions of religiousness with the presence and severity of depression in older adults.

Design

Cross-sectional analysis of clinical and interview data.

Setting

Private university-affiliated medical center in the Southeastern US.

Participants

Four hundred seventy-six psychiatric patients with a current episode of unipolar major depression, and 167 nondepressed comparison subjects, ages 58 years and older (mean = 70, SD = 7).

Measurements

Diagnostic Interview Schedule, Montgomery-Åsberg Depression Rating Scale, Duke Depression Evaluation Schedule.

Results

Presence of depression was related to less frequent worship attendance, more frequent private religious practice, and moderate subjective religiosity. Among the depressed group, less severe depression was related to more frequent worship attendance, less religiousness, and having had a born-again experience. These results were only partially explained by effects of social support and stress buffering.

Conclusions

Religion is related to depression diagnosis and severity via multiple pathways.

Keywords: religion, depression, older adults


Numerous studies have found associations between religion and reduced depression in older adults15. Research has drawn a distinction between public and private forms of religiousness, and has suggested that these associations may be partially attributed to psychosocial mediators including social support and coping with stress6.

This study extends this body of research in two respects. First, while recent research has focused on samples of the general population2,3 or of medical patients4,5 subsequently screened for symptoms of depression, participants in this study were drawn from a population of psychiatric patients receiving treatment for major depression, and are compared with a non-patient sample. Second, this study is the first to examine born-again religious experience, a reported distinct occasion prompting a deepened religious commitment, in relation to depression. While a significant proportion of the US population identifies as born-again7, its association with mental health remains open to speculation. Two related but distinct outcomes are assessed: presence of depression and severity of depression. Different factors may be related to the likelihood of developing depression and the mitigation of its effects once it occurs, thus each measure has specific potential clinical implications.

METHOD

Research Design

Participants aged 58+ were enrolled between November 1994 and December 2008 in the Neurocognitive Outcomes of Depression in the Elderly study8, conducted at Duke University. The depressed group was recruited from among Duke Psychiatric Service patients meeting DSM-IV criteria for a current episode of unipolar major depression. The comparison group was recruited from the Center for Aging Subject Registry at Duke University. All non-clinical measures were administered by trained interviewers as part of the Duke Depression Evaluation Schedule9.

Measures

Depression

Depressed participants were assessed by a geriatric psychiatrist using the Montgomery-Åsberg Depression Rating Scale (MADRS)10.

Religious Factors

Six religious factors were measured: worship attendance, religious media use, private religious practice, subjective religiosity, group affiliation, and report of born-again or other life-changing religious experiences. Frequency of worship attendance, frequency of viewing/listening to religious television or radio, and frequency of private religious practice – (including prayer, meditation, and Bible study) were each measured on 6-point scales. Subjective religiosity was measured on a 3-point scale of personal religious importance (very important, somewhat important, not important at all).

Participants were asked their religious group preference, including specific denomination. Reflecting the Southeastern US population, most were Christians and were further coded as Mainline Protestant (43%), Conservative Protestant (31%), or Catholic (11%). Members of any non-Christian religious group were classified together as “Other religion” (9%) while those reporting no religious preference were classified as “No religion” (6%).

A final set of questions asked participants about their religious experiences. The first asked, “Are you a born-again Christian? Born-again is defined as a specific conversion experience, i.e. a specific occasion when you dedicated your life to Jesus.” Participants who responded “no” to this question were then asked, “Have you ever had any other religious experience that changed your life?”

Demographics

Self-reported demographic characteristics included sex, age, race (recoded as White or Non-White), and years of education.

Vascular Health

The presence of 4 comorbid vascular health conditions (diabetes, heart trouble, hypertension, and hardening of the arteries) was assessed by self-report. For each condition reported, participants were asked whether it interfered with their activities “not at all,” “a little,” or “a lot.” Responses to these items were added to create a combined 0 – 12 scale of vascular comorbidity severity.

Social Support

The present analyses use the 10-item subjective social support subscale of the Duke Social Support Index9.

Stress

Participants rated their average level of stress during the previous 6 months on a 10-point scale.

Analysis

Statistical analyses examined factors related to the presence or absence of depression in the full sample of depressed and non-depressed participants, and to the severity of depression for those in the depressed group. A hierarchical approach was used to test whether these relationships were explained by differences in perceived social support and stress. Logistic regression was used to analyze the relationship between depressed/comparison group membership and religious factors. The initial model controlled for demographic and health covariates only, while the second model also added social support and stress. Depression severity analyses were conducted using linear regression, using the same two-step model as above, with MADRS score as the outcome variable.

RESULTS

A total of 627 participants were enrolled, including 476 depressed patients and 167 non-depressed comparison subjects. The sample was primarily female (68%) and White (84%), with a mean age of 70 years (SD = 7); there were no significant sex, race, or age differences between groups. However, there were mean differences in terms of education and physical health: depressed participants had 1.6 fewer years of education, t621 = 7.00, p < .001, and scored 0.9 points higher on the scale of vascular comorbidity severity, t620 = −6.21, p < .001. After listwise deletion due to missing data, 434 depressed and 163 comparison participants remained in the multivariate analyses (total N = 597).

Results for all multivariate analyses are reported in Table 1. Logistic regression results in Model A indicate that, controlling for demographic and health factors, greater frequency of worship attendance was related to lower likelihood of the presence of depression, while frequency of private religious activity was related to higher likelihood of depression. When the potential explanatory factors of social support and stress were added in Model B, only frequency of private religious activity remained independently related to higher likelihood of the presence of depression. Model statistics indicate that model B accounts for a significantly greater proportion of the variance in the data than model A.

TABLE 1.

Multivariate analyses of the relationship of religious and explanatory factors with presence and severity of depression

Depression Status (N = 597, including 434 depressed patients and 163 comparison subjects) Depression Severity (MADRS, N = 434 depressed patients)

Model Aa Model Ba Model A Model B
OR (95% CI) pb OR (95% CI) pb B β pc B β pc
Constant 31.25 < .001 32.24 < .001
Religious Factors
Worship attendance 0.67 (0.57 to 0.78) < .001 0.81 (0.64 to 1.02) .068 −1.00 −0.22 < .001 −0.84 −0.19 .001
Religious media use 1.07 (0.93 to 1.25) .342 0.99 (0.79 to 1.24) .925 0.22 0.05 .367 0.19 0.05 .434
Private religious activity 1.21 (1.04 to 1.42) .015 1.36 (1.08 to 1.72) .010 0.31 0.07 .258 0.36 0.08 .181
Subjective religiosity 1.09 (0.69 to 1.72) .713 0.89 (0.45 to 1.79) .745 1.99 0.16 .013 1.75 0.14 .028
Group Affiliationd
Conservative Protestant 1.59 (0.85 to 2.90) .151 1.32 (0.52 to 3.36) .563 0.09 0.01 .926 −0.23 −0.02 .806
Catholic 0.83 (0.43 to 1.61) .586 0.92 (0.35 to 2.41) .863 −0.79 −0.03 .558 −0.74 −0.03 .581
Other religion 1.42 (0.65 to 3.14) .381 0.98 (0.31 to 3.12) .979 −2.34 −0.08 .117 −2.42 −0.09 .102
No religion 1.36 (0.52 to 3.54) .535 1.08 (0.24 to 4.77) .922 1.12 0.04 .519 0.93 0.03 .591
Religious/Spiritual Experiences
Born again 1.19 (0.67 to 2.10) .556 1.05 (0.43 to 2.56) .910 −2.26 −0.14 .020 −2.12 −0.13 .027
Life-changing 1.14 (0.49 to 2.65) .761 1.65 (0.51 to 5.36) .405 −2.03 −0.07 .182 −1.62 −0.05 .284
Explanatory Factors
Social support 0.61 (0.53 to 0.72) < .001 −0.19 −0.10 .052
Stress 2.19 (1.85 to 2.60) < .001 0.32 0.09 .067
Model Statistics
χ215 = 143.71
Nagelkerke r2 = .310
χ217 = 414.77
Nagelkerke r2 =.725
Stepwise χ22 = 271.06, p < .001
F15,418 = 3.10, p < .001
adjusted r2 = .068
F17,416 = 3.28, p < .001
adjusted r2 = .082
r2 change = .018, p = .015
a

1 = depressed patient, 0 = comparison subject

b

Based on Wald χ2 statistics with df = 1

c

Based on t statistics with df = 418 (Model A) or df = 416 (Model B)

d

Comparison group is mainline Protestant

MADRS: Montgomery-Åsberg Depression Rating Scale; OR: OR: odds ratio; CI: confidence interval.

Results of the hierarchical linear regression analyses of depression severity in Model A show that less depression severity was related to more frequent worship attendance, lower subjective religiosity, and reporting a born-again experience. Although neither social support nor stress was significantly related to depression severity, Model B did fit the data significantly better than Model A, while indicating the same pattern of significant religious variables.

DISCUSSION

Key findings included directional contrasts in the relationships of different dimensions of religiousness with the two outcomes of depression presence and severity. Consistent with previous research, more frequent attendance at public worship services was associated with both lower presence and severity of depression. Psychosocial mediation was partially supported by the disappearance of the relationship between religious attendance and depression occurrence in the second logistic regression model. However, among the depressed, the relationship between more frequent attendance and less severity of depression was not explained by the impact of social support or stress. By contrast, private religious activity was related to higher occurrence of depression, and unrelated to its severity among the depressed, while having had a born-again experience was related to less severe depression among the depressed, but was unrelated to depression occurrence. One interpretation of these results may be that while social and emotional dimensions of religion have beneficial effects on depression (perhaps by promoting social integration and positive coping), cognitive elements of religion have a countervailing negative impact (perhaps by prompting rumination on whether one is meeting the expectations of beliefs and behavior promoted by religious organizations).

The association between having had a born-again experience and the severity of depression calls for more research to understand the impact of this and other spiritual experiences on mental health. Approximately 44% of the US population describe themselves as born-again7, yet little is known about the mechanisms by which this type of experience might influence mental health. Born-again status may be associated with positive emotional states or with more effective religious coping mechanisms. However it is important to note that the sample for the present study was drawn from the Southeastern US, a region where born-again Christians are likely to be both more demographically common and more socially accepted than other areas, and thus may differ from born-again individuals outside this region.

LIMITATIONS

As a cross-sectional study, the directionality of the relationships observed could not be addressed. In addition, the use of different methods of participant recruitment between the patient and healthy volunteer samples makes interpretation of the prevalence results less certain, since these groups differed on dimensions including socioeconomic status that can independently influence depression. Also, the sample was geographically limited to the Southeastern US, limiting generalizability. Finally, the way in which religious experiences were measured precluded the possibility of participants reporting both a born-again and another type of religious experience.

CONCLUSIONS

Religion has a multidimensional relationship with depression in late life. This study found social, emotional, and cognitive elements of religiousness to be associated with both the presence and severity of depression in a large sample of depressed psychiatric patients and non-depressed comparison subjects. These findings help to substantiate the idea that religion is associated with late-life depression via multiple pathways, including social support and stress buffering, but also supports the premise that religion has unique effects not explained by these psychosocial mediators. Clinicians should be prepared for the possibility of countervailing effects of different types of religious expression, and be sensitive to their potential as indicators of changes in depression status.

Acknowledgments

This project was funded by National Institutes of Health grants MH54846, MH60451, and MH70027.

Footnotes

No disclosures to report.

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