Abstract
In a cross- sectional survey of 1,013 African American women from rural Alabama and North Carolina, we examined the relationship of (1) organizational religiosity (i.e., religious service attendance), (2) non- organizational religiosity (e.g., reading religious materials), and (3) spirituality with these outcomes: women’s reports of their sexual behaviors and perceptions of their partners’ risk characteristics. Women with high non-organizational religiosity, compared with low, had fewer sex partners in the past 12 months (adjusted prevalence ratio (aPR): 0.58, 95% confidence interval (CI): 0.42, 0.80) and were less likely to have concurrent partnerships (aPR: 0.47, 95% CI: 0.30, 0.73). Similar results were observed for spirituality, and protective but weaker associations were observed for organizational religiosity. Weak associations were observed between organizational religiosity, non- organizational religiosity, and spirituality with partners’ risk characteristics. Further exploration of how religiosity and spirituality are associated with protective sexual behaviors is needed to promote safe sex for African American women.
Keywords: Religion, spirituality, African American, women, sexual behavior, HIV risk, and sex partner
In the United States (U.S.), African American women continue to be disproportionately affected by HIV/AIDS.1 Among U.S. women diagnosed with HIV/AIDS in 2010, 64% were African American and most (84%) contracted HIV through heterosexual contact.1 As in most of the world, women in rural parts of the Southern U.S. are most likely to acquire HIV through heterosexual transmission.2 Behavioral risk factors for acquisition of HIV among women include multiple sex partners, alcohol use, intravenous drug use, sex in exchange for money, drugs, or shelter, and sex with high risk partners (e.g., men who have sex with men, injection drug users, or those who have concurrent sexual partners).3–9
Health researchers have conceptualized religion in a number of different ways. Religiosity generally refers to the “degree of adherence to the beliefs, doctrines and practices of a religion” [p. 522] and connotes participation in a community centered on such activities.10,11 Religiosity can be categorized into organizational religiosity, non- organizational religiosity, and spirituality (also referred to as intrinsic or subjective religiosity). Organizational religiosity is participation in activities with a community of fellow adherents, frequently within the context of a church, mosque or other religious setting (e.g., religious service attendance). Non- organizational religiosity is behavior that occurs apart from the organized religious community (e.g., personal prayer and reading/watching religious media). Spirituality has been conceptualized as perceptions and attitudes (in contrast to the other two measures that are more oriented toward behavior) regarding spirituality with or without participation in a religious community.12
This paper focuses on organizational religiosity, non- organizational religiosity, and spirituality of African American women and sexual risk behavior. Religion has strong effects in the lives of many African Americans including personal behavior, emotional well- being, and community cohesion.13 African Americans, particularly in the Southeastern U.S., are highly spiritual compared with other ethnic groups, identifying spiritual beliefs as important in daily life and reporting close relationships with God.10 In addition, African Americans report more frequent religious service attendance and involvement in church activities compared with other ethnic groups.14
Despite emerging collaborations between the research community and faith- based institutions in providing HIV- related services and HIV prevention messages,15,16 limited attention has been paid to the relationship between the religiosity of adult African American women, and their sexual behaviors and the risk characteristics of their sex partners. Among adult women in a nationally representative sample of the U.S., higher religiosity (measured by religious service attendance) was associated with fewer HIV risk behaviors.8 Religiosity was also associated with fewer sexual risk behaviors in African American adolescents17–19 and college students.20 To date, we are not aware of any published studies on any aspect of religiosity among African American adult women in relation to their sexual partners’ sexual risk characteristics.
The relationship of religiosity with sexual behaviors that confer risk for HIV infection can be understood using the proximate determinants framework, an analytic framework that has been adapted for HIV acquisition and subsequent related outcomes.21 Proximate determinants are behavioral and biological factors through which contextual factors, such as economic and sociocultural determinants, influence risk for HIV transmission. Organizational religiosity, for example, is a sociocultural contextual factor in this model. The model posits that behavioral and biological proximate determinants affect the three critical components of the reproductive rate of HIV infection (i.e., exposure of susceptible individuals to infection, efficiency of transmission per contact, and duration of infection). Important proximate determinants include, for example, number of sex partners, coital frequency, condom use, and partner characteristics that facilitate HIV transmission. These proximate determinants may be influenced by contextual variables, including religion. We examined the relationships of religiosity and spirituality with risk behaviors for HIV acquisition among adult African American women in rural regions of Alabama and North Carolina. We hypothesized that higher spirituality would be associated with a reduced prevalence of engaging in high- risk behaviors and having high- risk partners, because a relationship with God or a higher power and the importance of acting on spiritual beliefs in daily life (identified by African American women as part of spirituality11) may be associated with safer sexual behaviors. Similarly, we expected that higher non- organizational religiosity, which indicates personal participation in religious practice, would be associated specifically with a reduced prevalence of engaging in concurrent partnerships and with partners who have concurrent partnerships, because many religious traditions endorse monogamy. We hypothesized that high organizational religiosity, indicating participation in a religious community, would also increase the prevalence of having a sexual partner who has a lower sexual risk profile.
Methods
Participants and procedure
Data were drawn from a cross- sectional study of 1,013 African American women from two rural counties in northeastern Alabama and two contiguous rural counties in eastern North Carolina.22 The survey’s primary focus was to characterize the sexual risk- taking behaviors of African American women in the rural Southeastern U.S.. Study site investigators applied and competed for a funding announcement through the Centers for Disease Control, and used publically available HIV and sexually transmitted infection data to identify counties with the highest rates of infection among African American women for survey administration. Women were recruited between October 2008 and September 2009 using multiple methods, including venue- based recruitment (e.g., at beauty salons, laundromats, shopping centers, churches, local community organizations, educational and training facilities, health clinics), advertisements in locally posted flyers, participant- referral with incentives, and word- of-mouth referral without incentives. Women were eligible to participant if they met all of the following criteria: (1) self- identified as African American; (2) were between 18–59 years of age (19–59 in Alabama because participants in Alabama were required to be 19 or older to give legal consent for study participation); (3) reported vaginal or anal intercourse with a man in the past 12 months; (4) not previously diagnosed as HIV- infected; (5) willing to be tested for HIV using rapid oral testing; (6) willing and able to give informed consent; and (7) able to understand English. There were no additional exclusion criteria. Eligibility criteria were assessed at venues using hand- held personal digital assistants for participants recruited at a venue or over the phone if the woman was referred by another study participant. Women provided written informed consent prior to completing an audio computer- assisted self- interview (ACASI) and undergoing rapid HIV testing that included pre- and post- test counseling. The ACASI was administered in a private room in a study office or in a study mobile unit that contained two private areas for ACASI administration and a third area for HIV counselling and testing.
Review and approval of the study protocol was received from Institutional Review Boards at the study sites and of the U.S. Centers for Disease Control and Prevention and the U.S. Office of Management and Budget (control number 0920-0760).
Spirituality and religious measures
To measure organizational religiosity,10,12 participants were asked how frequently they attended religious services in the past 12 months; response options were never, once or twice per year, about once a month, and once per week or more frequently. Few participants reported never having attended religious services; thus, this category was combined with those who attended once or twice per year. To measure non- organizational religiosity,10,12 we combined responses to three statements, “You pray or meditate often,” “You often read religious books, magazines, or pamphlets,” and “You often watch or listen to religious programs on television.” Responses of strongly disagree, disagree, agree, or strongly agree were coded as 0–3 (maximum possible score=9). Responses were summed for each participant and the distribution was divided at the 33rd and 66th percentiles, generating three non- organizational religiosity groups: low (score ≤5), medium (score=6–7), and high (score=8–9). To assess spirituality,10,12 we combined responses to two statements, “Your spiritual beliefs are the source of your whole approach to life,” and “You have a personal relationship with God” for which responses of strongly disagree, disagree, agree, or strongly agree were coded as 0–3, respectively (maximum possible score=6). Responses were summed for each participant and the distribution was divided at the 33rd and 66th percentiles, generating three spirituality groups: low (score ≤4), medium (score=5), and high (score=6).
Sexual risk behavior
The primary outcomes for these analyses were the respondent’s report of sexual risk behaviors: having as many or more than the median number of sex partners during (1) one’s lifetime and (2) the last 12 months among the women in our sample (i.e., eight and one, respectively), (3) having condomless intercourse with two or more partners, and (4) having one or more concurrent sexual partnerships in the past 12 months. The one year cumulative prevalence of participant involvement in a concurrent partnership was defined according to one of the UNAIDS working group recommendations which defines concurrency as overlapping sexual partnerships in which sexual intercourse with one partner occurs between two acts of intercourse with another partner.23
Participants were asked to provide the estimated months and years of first and last sexual encounters for their most recent sex partners (up to a maximum of three partners). Partnerships were considered concurrent if the month of first sexual encounter with one partner occurred before the month of last sexual encounter with an earlier partner (if one partnership ended in a given month and another partnership started that same month, the partnerships were not considered concurrent). Participants were asked the frequencies (i.e., never, less than half the time, half of the time, most of the time, always) with which they used condoms over the past 12 months for vaginal and anal intercourse with each of their most recent partners. Condomless intercourse with two or more partners was defined as never having used condoms with at least two partners in the past 12 months for either vaginal or anal intercourse.
We asked the participants to report characteristics of each of their three most recent male sex partners. The measures were: (1) sexually transmitted infection (STI) in the past 12 months (yes = one or more partner had STI; no = no partner had STI), (2) partner ever been in prison or jail for more than 1 night (yes, no) (3) partner ever used drugs (yes, no; drug use included ever having smoked crack, or used cocaine, heroin, methamphetamine, speed, or any other injection drug), and (4) partner had concurrent sex partner(s) during the course of his relationship with the participant. This latter variable was assessed for each of their three most recent sex partners using the response scale: definitely did not, probably did not, probably did, or definitely did have sex with other men or women. Similar to other published studies,24–26 we considered the partner to have been involved in a concurrent partnership if the participant reported that at least one partner definitely did have sex with other women or men.
Covariates
Research sites were grouped by state: two counties in North Carolina and two in Alabama. Participants reported their age, marital status (single; never married; married; living together as married; separated; divorced; or widowed), and total household income before taxes ($0–250, $251–500, $501–1,000, $1,001–2,000, $2,001–3,000, or over $3,000 per month).
Statistical analysis
We estimated prevalence ratios (PRs) using log- binomial models. PRs are a more comprehensible estimand than prevalence odds ratios, and are appropriate in this setting where many of the outcomes were common.27 We fit separate log binomial models for each exposure (i.e., organizational religiosity, non- organizational religiosity, and spirituality) and outcome (e.g., number of sex partners, participant concurrency, partner concurrency) to calculate PRs and 95% confidence limits (CIs). For the adjusted model of non- organizational religiosity and condomless sex with two or more partners we approximated the log- binomial model using a Poisson model with a robust variance.28,29 Observations with missing exposure, outcome, or covariates (if applicable) were excluded; missing totals for each variable, all of which were less than 10%, are reported in the footnotes of Table 1. We assessed potential confounders by using causal diagram graphs that represent posited causal relationships between exposures, outcomes, and covariates, and help identify a set of adjustment variables to obtain unbiased associations between the exposures and outcomes of interest.30 Using these diagrams helped avoid some of the pitfalls, such as inappropriate adjustment for non- confounders, of statistical approaches.31 Using a priori knowledge, we adjusted for research site, age (modeled using a restricted quadratic spline,32 an efficient method of controlling for a continuous covariate that allows for non- linear associations between age and the outcomes using a smoothed function with knots, or flex points, at ages 23, 29, 37 and 45), marital status (married versus not married), and income category (dichotomized at the median; results using all categories were similar). All analyses were conducted using SAS 9.3 (Copyright, SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA).
Table 1.
PARTICIPANT CHARACTERISTICS AMONG AFRICAN AMERICAN WOMEN FROM FOUR RURAL COUNTIES IN THE SOUTHEASTERN U.S., 2008–2009
Alabama site (n=512)
|
North Carolina site (n=501)
|
Total (n=1,013)
|
||||
---|---|---|---|---|---|---|
Characteristica | n | % | n | % | n | % |
Age (median, IQR) | 30 (23, 42) | 35 (26, 43) | 33 (24, 42) | |||
Marital status | ||||||
Single, never married | 285 | 55.7 | 279 | 55.7 | 564 | 55.7 |
Married | 109 | 21.3 | 101 | 20.2 | 210 | 20.7 |
Living together as married | 33 | 6.5 | 16 | 3.2 | 49 | 4.8 |
Separated/divorced/widowed | 83 | 16.2 | 105 | 21.0 | 188 | 18.6 |
Number of lifetime sex partners (median, IQR) | 7 (5, 12) | 8 (5, 15) | 8 (5, 15) | |||
Number of sex partners in past 12 months (median, IQR) | 1 (1, 2) | 1 (1, 2) | 1 (1, 2) | |||
Concurrent partnership | 133 | 26.0 | 113 | 22.6 | 246 | 24.3 |
Religion | ||||||
Baptist | 289 | 57.0 | 280 | 55.9 | 569 | 56.2 |
Born again Christian | 46 | 9.1 | 58 | 11.6 | 104 | 10.3 |
Non-denominational | 51 | 10.1 | 36 | 7.2 | 87 | 8.6 |
Pentecostal | 32 | 6.3 | 21 | 4.2 | 53 | 5.2 |
Denominational Christian | 23 | 4.6 | 7 | 1.4 | 30 | 3.0 |
Catholic | 5 | 1.0 | 4 | 0.8 | 9 | 0.9 |
Muslim | 0 | 0.0 | 2 | 0.4 | 2 | 0.2 |
Other | 19 | 3.8 | 20 | 3.9 | 39 | 3.9 |
No religion at this time | 41 | 8.1 | 73 | 14.6 | 114 | 11.3 |
The following data were missing (n at: Alabama site, North Carolina site, Total): age (0, 0, 0), maritalstatus (0, 2, 2), number of lifetime sex partners (9, 4, 13), number of sex partners in past 12 months(2, 1, 3), date- derived concurrency (20, 15, 35), religion (5, 0, 5).
IQR = Interquartile range
Results
The 1,013 participants enrolled in this study were evenly distributed between the Alabama and North Carolina sites (Table 1). The median age was 33 (interquartile range (IQR): 24, 42). The median income group was $1,001–$2,000 per month, and 56% were single, never married. Eighty- three percent (n=845) reported having ever been pregnant. Sixty- four percent (n=649) reported one sex partner in the past 12 months. For their most recent partnership, 57% of participants reported no condom use during vaginal sex (n=573), and of those who reported having anal sex in the past 12 months (n=212), 72% reported no condom use. Concurrent partnerships were identified in 24% of participants. Of participants that reported that their partner definitely did have sex with other men or women (n=213), only two reported their partner had sex with other men in the past 12 months. A majority of participants (84%) identified themselves as Christians, with Baptist as the most common affiliation reported (56%). As has been previously reported,22 one participant in Alabama newly tested positive for HIV.
Of the 1,003 participants who provided information on religious service attendance (i.e., organizational religiosity), 6% reported they never attended (n=64), 21% attended once or twice per year (n=212), 27% attended once per month (n=270), and 46% attended once a week or more often (n=457). Of the 1,000 participants who responded to all non- organizational religiosity items, participants reported strong agreement in the following proportions: 40% prayed or meditated often, 21% read religious materials, and 20% watched or listened to religious programming. Of the 1,001 participants who responded to all the spirituality items, 33% strongly agreed that their spiritual beliefs were the source of their whole approach to life and 51% of participants strongly agreed that they have a personal relationship with God. Most participants who strongly agreed with all the non- organizational religiosity measures or strongly agreed with the spirituality questions also attended religious services once a week or more often (Supplemental Table).
Table 2 shows the crude and adjusted PRs of participant risk behaviors by organizational religiosity, non- organizational religiosity, and spirituality. High organizational religiosity, compared with low, was associated with lower participation in concurrent partnerships (adjusted PR (aPR): 0.73, 95% CI: 0.56, 0.97), and a lower prevalence of multiple sex partners in the past 12 months (aPR: 0.84, 95% CI: 0.68, 1.04). High non-organizational religiosity, compared with low, was associated with fewer lifetime sex partners (aPR: 0.82, 95% CI: 0.69, 0.98), lower prevalence of multiple sex partners in the past 12 months (aPR: 0.58, 95% CI: 0.42, 0.80), and less participation in concurrent partnerships (aPR: 0.47, 95% CI: 0.30, 0.73) Women in the high spirituality group, compared with the low spirituality group, had fewer sex partners in the past 12 months (aPR: 0.69, 95% CI: 0.55, 0.88), less participation in concurrent partnerships (aPR: 0.64, 95% CI: 0.47, 0.87), had a lower prevalence of never using condoms with at least two partners (aPR: 0.71, 95% CI: 0.47, 1.06), although this measure lacked precision due to the small proportion of participants who had at least two partners.
Table 2.
SEXUAL BEHAVIOR BY CATEGORIES OF SPIRITUALITY AND RELIGIOSITY AMONG AFRICAN AMERICAN WOMEN FROM FOUR RURAL COUNTIES IN THE SOUTHEASTERN U.S., 2008– 2009
Organizational Religious Activitya
|
Non-organizational Religious Activityb
|
Spiritualityc
|
||||
---|---|---|---|---|---|---|
Crude PR (95% CI) | Adjustedd PR (95% CI) | Crude PR (95% CI) | Adjustedd PR (95% CI) | Crude PR (95% CI) | Adjustedd PR (95% CI) | |
8+ lifetime sex partners | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Med | 0.98 (0.84, 1.15) | 1.04 (0.90, 1.20) | 1.01 (0.88, 1.17) | 0.96 (0.84, 1.09) | 0.95 (0.81, 1.11) | 0.94 (0.81, 1.09) |
High | 0.89 (0.77, 1.03) | 0.95 (0.83, 1.09) | 0.93 (0.77, 1.11) | 0.82 (0.69, 0.98) | 0.91 (0.79, 1.05) | 0.89 (0.78, 1.03) |
>1 sex partner in past year | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Med | 1.10 (0.90, 1.33) | 1.13 (0.93, 1.37) | 0.88 (0.74, 1.05) | 0.94 (0.79, 1.12) | 0.85 (0.69, 1.05) | 0.92 (0.76, 1.13) |
High | 0.67 (0.54, 0.82) | 0.84 (0.68, 1.04) | 0.45 (0.33, 0.61) | 0.58 (0.42, 0.80) | 0.55 (0.44, 0.69) | 0.69 (0.55, 0.88) |
Concurrency in past 12 months | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Med | 1.03 (0.80, 1.33) | 1.09 (0.84, 1.41) | 0.94 (0.75, 1.18) | 0.99 (0.79, 1.26) | 0.80 (0.60, 1.05) | 0.83 (0.63, 1.10) |
High | 0.59 (0.45, 0.77) | 0.73 (0.56, 0.97) | 0.36 (0.23, 0.55) | 0.47 (0.30, 0.73) | 0.51 (0.38, 0.69) | 0.64 (0.47, 0.87) |
No condoms with 2+ partners | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Med | 0.97 (0.66, 1.42) | 1.06 (0.73, 1.53) | 0.95 (0.68, 1.32) | 0.81 (0.60, 1.10) | 0.82 (0.56, 1.21) | 0.81 (0.56, 1.16) |
High | 1.13 (0.79, 1.64) | 1.00 (0.72 1.38) | 0.98 (0.58, 1.63) | 0.64 (0.41, 1.02) | 0.68 (0.43, 1.07) | 0.71 (0.47, 1.06) |
Low, medium, and high organizational religious activity was defined as church attendance never, once or twice a year; once or twice a month; and every week or more frequently, respectively.
Low, medium, and high non- organizational religious activity was defined as a combined metric of ≤5, 6–7, and 8–9, respectively.
Low, medium and high spirituality was defined as a combined metric ≤4, 5, and 6, respectively.
Adjusted for participant’s research site, age, marital status, and income category.
Table 3 shows crude and adjusted (for research site, age, marital status, and income category) PRs of risky sexual behaviors of the participant’s partner. Women with high organizational religiosity, compared with low, had a lower prevalence of partners with concurrent partnerships (aPR: 0.75, 95% CI: 0.55, 1.01). All other partners’ behaviors showed no association with any aspect of religiosity or spirituality.
Table 3.
PARTNERS’ SEXUAL BEHAVIOR BY CATEGORIES OF SPIRITUALITY AND RELIGIOSITY AMONG AFRICAN-AMERICAN WOMEN FROM FOUR RURAL COUNTIES IN THE SOUTHEASTERN U.S., 2008– 2009
Organizational Religious Activitya
|
Non-organizational Religious Activityb
|
Spiritualityc
|
||||
---|---|---|---|---|---|---|
Crude PR (95% CI) | Adjustedd PR (95% CI) | Crude PR (95% CI) | Adjustedd PR (95% CI) | Crude PR (95% CI) | Adjustedd PR (95% CI) | |
Partner concurrency | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Medium | 0.95 (0.71, 1.28) | 0.94 (0.69, 1.28) | 0.93 (0.71, 1.21) | 0.93 (0.70, 1.23) | 0.79 (0.57, 1.09) | 0.77 (0.55, 1.08) |
High | 0.72 (0.54, 0.96) | 0.75 (0.55, 1.01) | 0.77 (0.53, 1.10) | 0.78 (0.53, 1.16) | 0.82 (0.62, 1.09) | 0.87 (0.65, 1.17) |
Partner incarceration | 1 | |||||
Low | 1 | 1 | 1 | 1 | 1 | |
Medium | 0.79 (0.66, 0.94) | 0.86 (0.70, 1.06) | 1.02 (0.85, 1.22) | 1.02 (0.85, 1.23) | 0.98 (0.80, 1.21) | 1.00 (0.82, 1.22) |
High | 0.80 (0.65, 0.98) | 0.92 (0.77, 1.11) | 0.92 (0.73, 1.17) | 1.01 (0.79, 1.29) | 0.93 (0.77, 1.12) | 1.02 (0.85, 1.23) |
Partner had an STD in past 12 months | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Medium | 1.14 (0.63, 2.06) | 1.08 (0.58, 2.01) | 0.99 (0.60, 1.61) | 1.42 (0.85, 2.39) | 0.83 (0.47, 1.46) | 0.81 (0.45, 1.48) |
High | 0.91 (0.52, 1.58) | 1.31 (0.73, 2.33) | 0.43 (0.19, 0.97) | 0.77 (0.30, 1.96) | 0.56 (0.31, 1.01) | 0.81 (0.44, 1.48) |
Partner used drugs | ||||||
Low | 1 | 1 | 1 | 1 | 1 | 1 |
Medium | 1.06 (0.68, 1.65) | 1.07 (0.70, 1.65) | 1.39 (0.94, 2.06) | 1.19 (0.81, 1.76) | 1.16 (0.79, 1.71) | 1.13 (0.77, 1.65) |
High | 1.26 (0.87, 1.85) | 1.21 (0.83, 1.77) | 1.58 (1.01, 2.48) | 1.03 (0.65, 1.64) | 1.12 (0.78, 1.59) | 1.02 (0.81, 1.46) |
Low, medium, and high organizational religious activity was defined as church attendance never, once or twice a year; once or twice a month; and every week or more frequently, respectively.
Adjusted for participant’s research site, age, marital status, and income category.
Low, medium, and high non- organizational religious activity was defined as a combined metric of ≤5, 6–7, and 8–9, respectively.
Low, medium and high spirituality was defined as a combined metric ≤4, 5, and 6, respectively.
Discussion
In this study of African American women in the Southeastern U.S., a substantial proportion of participants reported high levels of organizational religiosity, non-organizational religiosity, and spirituality. As we hypothesized, high organizational religiosity, high non- organizational religiosity, and high spirituality were associated in adjusted models with having fewer risky personal sexual behaviors in the past 12 months. Few women had partners with high risk behaviors, resulting in uncertainty in the associations between religiosity and spirituality with partners’ risk characteristics. Further research is needed about the relationship between religiosity and spirituality with partners’ risk characteristics.
Non- organizational religious activity was most strongly protectively associated with participants’ own risk characteristics, spirituality was the next most protective, and organized religious activity was least protective, though the estimates for non-organizational religious activity and spirituality were not substantially different from each other. Going to church, the metric related to organizational religious activity, can be motivated by social, financial, and relational reasons in addition to interest in or adherence to the moral components of a religious tradition. Non- organized religious activities, particularly prayer, and spirituality are less likely to have an element of social pressure and may be related to internalization of religious and moral teachings.
The findings of this study support the contention that religiosity and spirituality are associated with behavioral proximate determinants of HIV acquisition. Numbers of sex partners, and partner participation in concurrent partnerships, characteristics associated with religiosity and spirituality in this study, have been associated with increased risk of acquiring HIV.3–8 However, more work is needed to understand the relationship between religiosity and spirituality with these determinants. One study among African American adult women found that higher self- esteem was associated with fewer sexual risk behaviors, and that higher religiosity was associated in turn with higher self- esteem.33 Another potential explanation is that sexual partnerships typically occur among individuals with similar racial, economic, educational, and religious backgrounds.34 Thus, women might be expected to partner with men who have similar levels of religiosity (particularly the more visible, organizational religiosity), and men with high religiosity may be more likely to have fewer sexual risk characteristics. However, the relationship between religiosity and sexual risk behaviors among African American heterosexual men is not well characterized, and the extent to which sexual partnerships are assortative (i.e., selecting or seeking sexual partners similar to oneself) in intensity of religiosity is unknown.
Among African American adolescents and young adults, studies have found associations between higher religiosity and later sexual debut,17–19 less frequent sex,17,18 refusal of unprotected sex,17 and more frequent condom use.17,18 Unlike previous studies among adolescents and young adults,17,18 we did not find an association between religiosity and condom-less sex. However, there were tenuous protective associations between condomless sex with non- organized religiosity and spirituality. These associations were weak, which is consistent with higher negative perceptions about condom use among older (>27 years of age) women.35 The current study also shows that religiosity and spirituality are protectively associated with personal sexual behavior more generally (i.e., number of sex partners in past 12 months and participation in concurrent partnerships). Our convenience sample exhibited a similar religious distribution as the National Survey of American Life,14 a nationally representative study of African Americans. However, women in our sample were younger, had lower income, and were more likely to be single than the participants in the National Survey.
Though drug and alcohol use are well established risk factors for risky sexual behavior, 9 we did not adjust for these factors. We think it likely that religiosity and spirituality affect drug and alcohol use, and causally precede these factors. Since we are interested in the associations of different domains of religiosity even through these intermediates, adjusting for these alcohol and drug covariates would be inappropriate.36
This study has several limitations. The study’s recruitment strategy included a mixture of venue- based sampling, advertisement, and participant referral, and as such did not yield a random sample of a defined population. For example, half of the population in this study reported an annual family income of less than $12,000, and low income is a known HIV risk factor.37,38 The cross- sectional design makes it difficult to assess the time order of exposures, covariates, and outcomes. In particular, this study cannot determine whether organizational religiosity, non- organizational religiosity, or spirituality is causally related to sexual practices. However, it seems more likely that religiosity affects sexual practices than the reverse. One of the few longitudinal studies in adolescents showed that religiosity delayed first sexual intercourse, but that the timing of first sexual intercourse did not subsequently affect religiosity.19 There were a limited number of questions asked about religiosity and spirituality, and these questions, while organized around similar domains to the Duke Religion Index,12 were not validated. In addition, because data for these analyses are self- reported, it is possible that there is respondent bias that is dependent on religiosity. Participants may have been reluctant or uncomfortable to report behaviors that they considered immoral; this bias was minimized through use of ACASI, which has been shown to reduce social desirability bias in sexual behavior reporting.39 Finally, participant reports of partner characteristics may be prone to error; participants may not be aware of the behavior of their partner. There are no currently validated measures of partner’s concurrency.
There are a number of strengths of this study. First, all participants were African American women who were sexually active in the past year, an important group to target for HIV prevention messages. Though Alabama and North Carolina are not ranked highest in incident HIV diagnoses by state, at 20.9/100,000 people and 20.8/100,000 people, respectively,1 these areas do represent the epicenter of heterosexual transmission among women in the Southeastern U.S..2 Second, the use of ACASI questionnaire administration ensured consistent administration across all participants and may have elicited fewer inhibitions in answering personal questions.39–41 Third, missing data in this study were minimal.
Religion and spirituality are sources of resilience in the African American community and have historically been protective against a number of poor health outcomes. The high prevalence of organizational religiosity in this population is consistent with the current understanding that collaborations between public health workers and religious leaders can result in essential dissemination of information on HIV risk prevention.15 Should the associations observed here be replicated in other studies, the finding that religiosity and spirituality are associated with personal sexual risk behaviors, but are less strongly associated with characteristics of sex partners among adult African American women has implications for these collaborations. For example, resources could be developed in collaboration with religious leaders that specifically discuss HIV risks related to behavior of sex partners. The associations found in this study suggest the need for further exploration of the associations between protective sexual behaviors and religion and spirituality and the potential role of these factors in promoting safe sex in sexual partnerships.
Supplementary Material
Acknowledgments
Funding for this study was provided by the Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA under cooperative agreement PS05-107. The findings and conclusions in this report are those of the author and do not necessarily represent the views of the Centers for Disease Control and Prevention.
Footnotes
Competing interests. Financial competing interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Non-financial competing interests: The authors declare that they have no non- financial competing interests.
References
- 1.Centers for Disease Control and Prevention. Estimated HIV incidence in the United States, 2007–2010. HIV Surveillance Supplemental Report. 2012 Dec;17(4) Available at: http://www.cdc.gov/hiv/pdf/statistics_hssr_vol_17_no_4.pdf. [Google Scholar]
- 2.Fleming PL, Lansky A, Lee LM, et al. The epidemiology of HIV/AIDS in women in the southern United States. Sex Transm Dis. 2006 Jul;33(7 Suppl):S32–8. doi: 10.1097/01.olq.0000221020.13749.de. http://dx.doi.org/10.1097/01.olq.0000221020.13749.de. [DOI] [PubMed] [Google Scholar]
- 3.Sales JM, Brown JL, Vissman AT, et al. The association between alcohol use and sexual risk behaviors among African American women across three developmental periods: a review. Curr Drug Abuse Rev. 2012 Jun;5(2):117–28. doi: 10.2174/1874473711205020117. http://dx.doi.org/10.2174/1874473711205020117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Adimora AA, Schoenbach VJ, Martinson FE, et al. Concurrent partnerships among rural African Americans with recently reported heterosexually transmitted HIV infection. J Acquir Immune Defic Syndr. 2003 Dec 1;34(4):423–9. doi: 10.1097/00126334-200312010-00010. http://dx.doi.org/10.1097/00126334-200312010-00010. [DOI] [PubMed] [Google Scholar]
- 5.Risser JM, Padgett P, Wolverton M, et al. Relationship between heterosexual anal sex, injection drug use and HIV infection among black men and women. Int J STD AIDS. 2009 May;20(5):310–4. doi: 10.1258/ijsa.2008.008394. http://dx.doi.org/10.1258/ijsa.2008.008394. [DOI] [PubMed] [Google Scholar]
- 6.Mize SJ, Robinson BE, Bockting WO, et al. Meta- analysis of the effectiveness of HIV prevention interventions for women. AIDS Care. 2002 Apr;14(2):163–80. doi: 10.1080/09540120220104686. http://dx.doi.org/10.1080/09540120220104686. [DOI] [PubMed] [Google Scholar]
- 7.Aziz M, Smith KY. Challenges and successes in linking HIV- infected women to care in the United States. Clin Infect Dis. 2011 Jan 15;52(Suppl 2):S231–7. doi: 10.1093/cid/ciq047. http://dx.doi.org/10.1093/cid/ciq047. [DOI] [PubMed] [Google Scholar]
- 8.Gillum RF, Holt CL. Associations between religious involvement and risk factors for HIV/AIDS in American women and men in a national health survey. Annals Behav Med. 2010 Dec;40(3):284–93. doi: 10.1007/s12160-010-9218-0. http://dx.doi.org/10.1007/s12160-010-9218-0. [DOI] [PubMed] [Google Scholar]
- 9.Centers for Disease Control Prevention. Integrated prevention services for HIV infection, viral hepatitis, sexually transmitted diseases, and tuberculosis for persons who use drugs illicitly: summary guidance from CDC and the U.S. Department of Health and Human Services. MMWR Recomm Rep. 2012 Nov 9;61(RR-5):1–40. [PubMed] [Google Scholar]
- 10.Taylor RJ, Mattis J, Chatters LM. Subjective religiosity among African Americans: a synthesis of findings from five national samples. J Black Psychol. 1999;25(4):524–43. http://dx.doi.org/10.1177/0095798499025004004. [Google Scholar]
- 11.Mattis JS. African American women’s definitions of spirtuality and religiosity. J Black Psychol. 2000;26:101–22. http://dx.doi.org/10.1177/0095798400026001006. [Google Scholar]
- 12.Koenig HG, Bussing A. The Duke Religion Index (DUREL): A five- item measure for use in epidemiological studies. Religions. 2010;1:78–85. http://dx.doi.org/10.3390/rel1010078. [Google Scholar]
- 13.Mattis JS, Jagers RJ. A relational framework for the study of religiosity and spirituality in the lives of African Americans. J Community Psychol. 2001;29(5):519–39. http://dx.doi.org/10.1002/jcop.1034. [Google Scholar]
- 14.Chatters LM, Taylor RJ, Bullard KM, et al. Race and ethnic differences in religious involvement: African Americans, Carribean blakcs and non- Hispanic whites. Ethn Racial Stud. 2009 Sep;32(7):1143–1163. doi: 10.1080/01419870802334531. http://dx.doi.org/10.1080/01419870802334531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sutton MY, Parks CP. HIV/AIDS prevention, faith, and spirituality among black/African American and Latino communities in the United States: strengthening scientific faith-based efforts to shift the course of the epidemic and reduce HIV- related health disparities. J Relig Health. 2013 Jun;52(2):514–30. doi: 10.1007/s10943-011-9499-z. http://dx.doi.org/10.1007/s10943-011-9499-z. [DOI] [PubMed] [Google Scholar]
- 16.Wingood GM, Robinson LR, Braxton ND, et al. Comparative effectiveness of a faithbased HIV intervention for African American women: importance of enhancing religious social capital. Am J Public Health. 2013 Dec;103(12):2226–33. doi: 10.2105/AJPH.2013.301386. Epub 2013 Oct 17. http://dx.doi.org/10.2105/AJPH.2013.301386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.McCree DH, Wingood GM, DiClemente R, et al. Religiosity and risky sexual behavior in African- American adolescent females. J Adolesc Health. 2003 Jul;33(1):2–8. doi: 10.1016/s1054-139x(02)00460-3. http://dx.doi.org/10.1016/S1054-139X(02)00460-3. [DOI] [PubMed] [Google Scholar]
- 18.Landor A, Simons LG, Simons RL, et al. The role of religiosity in the relationship between parents, peers, and adolescent risky sexual behavior. J Youth Adolesc. 2011 Mar;40(3):296–309. doi: 10.1007/s10964-010-9598-2. Epub 2010 Oct 30. http://dx.doi.org/10.1007/s10964-010-9598-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hardy SA, Raffaelli M. Adolescent religiosity and sexuality: an investigation of reciprocal influences. J Adolesc. 2003 Dec;26(6):731–9. doi: 10.1016/j.adolescence.2003.09.003. http://dx.doi.org/10.1016/j.adolescence.2003.09.003. [DOI] [PubMed] [Google Scholar]
- 20.Poulson RL, Eppler MA, Satterwhite TN, et al. Alcohol consumption, strength of religious beliefs, and risky sexual behavior in college students. J Am Coll Health. 1998 Mar;46(5):227–32. doi: 10.1080/07448489809600227. http://dx.doi.org/10.1080/07448489809600227. [DOI] [PubMed] [Google Scholar]
- 21.Boerma JT, Weir SS. Integrating demographic and epidemiological approaches to research on HIV/AIDS: the proximate- determinants framework. J Infect Dis. 2005 Feb 1;191(Suppl 1):S61–7. doi: 10.1086/425282. http://dx.doi.org/10.1086/425282. [DOI] [PubMed] [Google Scholar]
- 22.McLellan-Lemal E, O’Daniels CM, Marks G, et al. Sexual risk behaviors among African- American and Hispanic women in five counties in the southeastern United States: 2008–2009. Womens Health Issues. 2012 Jan-Feb;22(1):e9–18. doi: 10.1016/j.whi.2011.06.002. Epub 2011 Jul 23. http://dx.doi.org/10.1016/j.whi.2011.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.UNAIDS Reference Group on Estimates, Modelling, and Projections: Working Group on Measuring Concurrent Sexual Partnerships. HIV: consensus indicators are needed for concurrency. Lancet. 2010 Feb 20;375(9715):621–2. doi: 10.1016/S0140-6736(09)62040-7. Epub 2009 Nov 30. [DOI] [PubMed] [Google Scholar]
- 24.Adimora AA, Schoenbach VJ, Martinson FE, et al. Heterosexually transmitted HIV infection among African Americans in North Carolina. J Acquir Immune Defic Syndr. 2006 Apr 15;41(5):616–23. doi: 10.1097/01.qai.0000191382.62070.a5. http://dx.doi.org/10.1097/01.qai.0000191382.62070.a5. [DOI] [PubMed] [Google Scholar]
- 25.Adimora AA, Hughes JP, Wang J, et al. Characteristics of multiple and concurrent partnerships among women at high risk for HIV infection. J Acquir Immune Defic Syndr. 2014 Jan 1;65(1):99–106. doi: 10.1097/QAI.0b013e3182a9c22a. http://dx.doi.org/10.1097/QAI.0b013e3182a9c22a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Brown JL, Sales JM, Diclemente RJ, et al. Characteristics of African American adolescent females who perceive their current boyfriends have concurrent sexual partners. J Adolesc Health. 2012 Apr;50(4):377–82. doi: 10.1016/j.jadohealth.2011.07.008. Epub 2011 Sep 23. http://dx.doi.org/10.1016/j.jadohealth.2011.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Petersen MR, Deddens JA. A comparison of two methods for estimating prevalence ratios. BMC Med Res Methodol. 2008 Feb 28;8:9. doi: 10.1186/1471-2288-8-9. http://dx.doi.org/10.1186/1471-2288-8-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.McNutt LA, Wu C, Xue X, et al. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003 May 15;157(10):940–3. doi: 10.1093/aje/kwg074. http://dx.doi.org/10.1093/aje/kwg074. [DOI] [PubMed] [Google Scholar]
- 29.Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004 Apr 1;159(7):702–6. doi: 10.1093/aje/kwh090. http://dx.doi.org/10.1093/aje/kwh090. [DOI] [PubMed] [Google Scholar]
- 30.Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999 Jan;10(1):37–48. http://dx.doi.org/10.1097/00001648-199901000-00008. [PubMed] [Google Scholar]
- 31.Hernan MA, Hernandez-Diaz S, Werler MM, et al. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002 Jan 15;155(2):176–84. doi: 10.1093/aje/155.2.176. http://dx.doi.org/10.1093/aje/155.2.176. [DOI] [PubMed] [Google Scholar]
- 32.Howe CJ, Cole SR, Westreich DJ, et al. Splines for trend analysis and continuous confounder control. Epidemiology. 2011 Nov;22(6):874–5. doi: 10.1097/EDE.0b013e31823029dd. http://dx.doi.org/10.1097/EDE.0b013e31823029dd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sterk CE, Klein H, Elifson KW. Self- esteem and “at risk” women: determinants and relevance to sexual and HIV- related risk behaviors. Women Health. 2004;40(4):75–92. doi: 10.1300/j013v40n04_05. http://dx.doi.org/10.1300/J013v40n04_05. [DOI] [PubMed] [Google Scholar]
- 34.Laumann EO, Gagnon JH. The social organization of sexuality: sexual practices in the United States. Chicago, IL: University of Chicago Press; 1994. [Google Scholar]
- 35.Crosby R, Shrier LA, Charnigo R, et al. Negative perceptions about condom use in a clinic population: comparisons by gender, race and age. Int J STD AIDS. 2013 Feb;24(2):100–5. doi: 10.1177/0956462412472295. Epub 2013 May 6. http://dx.doi.org/10.1177/0956462412472295. [DOI] [PubMed] [Google Scholar]
- 36.Cole SR, Hernan MA. Fallibility in estimating direct effects. Int J Epidemiol. 2002 Feb;31(1):163–5. doi: 10.1093/ije/31.1.163. http://dx.doi.org/10.1093/ije/31.1.163. [DOI] [PubMed] [Google Scholar]
- 37.Krueger LE, Wood RW, Diehr PH, et al. Poverty and HIV seropositivity: the poor are more likely to be infected. AIDS. 1990 Aug;4(8):811–4. http://dx.doi.org/10.1097/00002030-199008000-00015. [PubMed] [Google Scholar]
- 38.Adimora AA, Schoenbach VJ. Contextual factors and the black- white disparity in heterosexual HIV transmission. Epidemiology. 2002 Nov;13(6):707–12. doi: 10.1097/00001648-200211000-00016. http://dx.doi.org/10.1097/00001648-200211000-00016. [DOI] [PubMed] [Google Scholar]
- 39.Kissinger P, Rice J, Farley T, et al. Application of computer- assisted interviews to sexual behavior research. Am J Epidemiol. 1999 May 15;149(10):950–4. doi: 10.1093/oxfordjournals.aje.a009739. http://dx.doi.org/10.1093/oxfordjournals.aje.a009739. [DOI] [PubMed] [Google Scholar]
- 40.Gorbach PM, Mensch BS, Husnik M, et al. Effect of computer- assisted interviewing on self- reported sexual behavior data in a microbicide clinical trial. AIDS Behav. 2013 Feb;17(2):790–800. doi: 10.1007/s10461-012-0302-2. http://dx.doi.org/10.1007/s10461-012-0302-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Turner CF, Ku L, Rogers SM, et al. Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology. Science. 1998 May 8;280(5365):867–73. doi: 10.1126/science.280.5365.867. http://dx.doi.org/10.1126/science.280.5365.867. [DOI] [PubMed] [Google Scholar]
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