Abstract
Objectives. We examined correlates of love and trust among female sex workers and their noncommercial male partners along the Mexico–US border.
Methods. From 2011 to 2012, 322 partners in Tijuana and Ciudad Juárez, Mexico, completed assessments of love and trust. Cross-sectional dyadic regression analyses identified associations of relationship characteristics and HIV risk behaviors with love and trust.
Results. Within 161 couples, love and trust scores were moderately high (median 70/95 and 29/40 points, respectively) and correlated with relationship satisfaction. In regression analyses of HIV risk factors, men and women who used methamphetamine reported lower love scores, whereas women who used heroin reported slightly higher love. In an alternate model, men with concurrent sexual partners had lower love scores. For both partners, relationship conflict was associated with lower trust.
Conclusions. Love and trust are associated with relationship quality, sexual risk, and drug use patterns that shape intimate partners’ HIV risk. HIV interventions should consider the emotional quality of sex workers’ intimate relationships.
While public health interventions continue to be grounded in tenets of risk and disease, there is growing recognition of the importance of emotions such as love and trust in shaping the health behaviors of diverse populations. Unprotected sex allows for transmission of HIV and other sexually transmitted infections (STIs) but often carries emotional meanings of trust and commitment that impede condom negotiation even among individuals with high knowledge and self-efficacy.1–4 Research has consistently found female sex workers’ condom use to be less frequent with their noncommercial male partners than with clients, which has been linked to intimacy, love, and trust.5–7 Similarly, drug-using couples may share syringes and engage in additional known HIV risk behaviors to convey support and emotional closeness.8,9 Although much of this research is qualitative, some quantitative work has confirmed associations between perceptions of intimacy and condom use among sex workers and clients10 and men who have sex with men.11
Quantitative researchers have attempted to operationalize emotions into theoretical constructs for empirical research.12 Sternberg’s “triangular” theory posits that love comprises 3 components: intimacy (feelings of emotional closeness between partners), passion (physical attraction and sexual consummation), and commitment (decisions that partners make about maintaining relationships).13,14 Taken together, these components combine to generate different kinds of love.13,15,16
Another important aspect of intimate relationships, trust is conceptualized as a belief in the integrity of a partner. Trust may be based on individuals’ assessments of their partners’ benevolence and honesty17 and subjective feelings of security within relationships.18,19 To measure trust quantitatively, Larzelere and Huston developed a dyadic trust scale that correlated with love and relationship quality.17
A rich body of ethnographic scholarship has highlighted the importance of companionate relationships and love in diverse global contexts,20–22 but quantification of emotional constructs are largely absent from settings outside the Western middle-class experience. Most quantitative studies of love and trust have focused on privileged populations who do not experience the burden of disease that disproportionately affects socially marginalized couples. Existing studies among US populations have also suggested that women and men value components of these emotions differently,23–25 yet the implications of these potential gender differences for HIV prevention among vulnerable couples remains underexplored.
Our study of love and trust among sex workers and their noncommercial partners is situated in 2 Mexican border cities: Tijuana, Baja California, south of San Diego, California (population 1.6 million), and Ciudad Juárez, Chihuahua, adjacent to El Paso, Texas (population 1.3 million). Both cities have areas where sex work and drug use are concentrated,26 lending to the conceptualization of the border as an HIV risk environment27 characterized by poverty, unemployment, violence, and availability of illicit drugs.28 Research has documented substantial overlap in risky sexual and injection drug use behaviors among marginalized female sex workers29 who often turn to sex work as a last option for supporting themselves and their dependents.30
Drawing on Connell’s conceptualization of gender as a relational process influenced by structural and sociocultural factors,31 our previous qualitative and ethnographic inquiry into sex workers’ intimate partnerships in these cities proposed that emotions are shaped by the HIV risk environment of the border. Structural conditions bring partners together into relationships that provide critical material and emotional support. In light of limited economic opportunities, couples form tacit agreements regarding women’s engagement in sex work. In the process, women emerge as primary wage earners, alienating men from traditional gender roles as providers and shifting gender dynamics. To cope, partners mostly avoid communicating about sex work or disclosing HIV risk to protect the emotional integrity of the relationship.32
We also found that these couples’ relationships range in emotional intensity from friendship and care to transformative experiences of love. Regardless, most couples demarcate their primary relationships from sex work by engaging in unprotected sex. Among couples who inject drugs, sharing syringes together (but not with others) often reinforces trust and care.33 Concerns of mistrust and infidelity also reduced couples’ interest in alternative HIV-prevention technologies such as pre-exposure prophylaxis.34
In light of the central role of emotions in our qualitative research with these couples, we attempted to quantify constructs of love and trust and identify associated relationship traits and HIV risk behaviors in our larger cohort. We hypothesized that markers of relationship quality (e.g., higher satisfaction, lower conflict) and unprotected sex within primary relationships would be associated with higher love and trust, whereas extradyadic HIV risk behaviors (e.g., concurrent sexual partners, syringe sharing with others) would be associated with lower love and trust.
METHODS
We drew from Proyecto Parejas (Couples’ Project), a prospective study of HIV and other STIs within sex workers’ intimate relationships in Tijuana and Ciudad Juárez that began in 2010.35 Fieldworkers used targeted and snowball sampling36,37 to recruit women from known areas of sex work and drug use in these cities. Eligible women were aged 18 years or older, had ever used hard drugs, reported sex work in the past month, were in a noncommercial relationship for at least 6 months, and were not determined to be at risk for life-threatening intimate partner violence as a result of participating. Eligible women were invited to bring male partners to study offices to assess men’s eligibility (aged ≥ 18 years) and verify relationships.35 Eligible couples provided written consent to complete quantitative surveys and HIV and other STI testing every 6 months for 2 years. Each partner was reimbursed US $20 per visit.
Data Collection
For this cross-sectional study, we drew from 12-month follow-up quantitative assessments. Of the original cohort of 214 couples enrolled in 2010–2011, 161 couples (n = 322 individuals who remained in the relationship and were not incarcerated or lost to follow-up) returned for 12-month follow-up visits from 2011 to 2012. Interviewers administered 1- to 2-hour-long computerized questionnaires to individuals. Questionnaires assessed demographics and personal factors, including depression (Center for Epidemiologic Studies Short Depression Scale [CESD-10]; range = 0–30 points; α = 0.826)38,39 and lifetime and recent (past 6 months) sexual and drug-related HIV risk behaviors, including unprotected sex, concurrent sexual partners, and syringe sharing. We created relationship-level variables such as relationship duration by averaging both partners’ responses within couples.40 We measured relationship satisfaction with a 5-item scale (range = 1–20 points; α = 0.907).41 We determined prevalence of past-year verbal and physical conflict (perpetration and victimization) by using affirmative responses to the Revised Conflict Tactics Scale subscales for psychological aggression, physical assault, injury, or sexual assault.42,43
To quantify the emotional constructs that emerged as important in our qualitative research,33 we adapted 2 scales for inclusion in 12-month follow-up assessments: a 19-item Triangular Love Scale (range = 19–95 points; α = 0.914)16 and an 8-item Dyadic Trust Scale (range = 8–40 points; α = 0.845).17 Five Likert-type response options ranged from “strongly disagree” to “strongly agree,” for a maximum of 5 possible points per item. Total scores represent summations of items in each scale and were used as dependent variables in our analyses; higher scores represent higher levels of love and trust within relationships.
Data Analysis
Quantitative descriptive statistics summarized and assessed gender differences for all measures including our 2 dependent variables, love and trust. To identify relationship and behavioral characteristics independently associated with love and trust, we used seemingly unrelated regression with bootstrapped SEs,44 a generalization of linear regression that models women’s and men’s outcomes separately but simultaneously (i.e., using 2 separate equations), allowing error terms to be correlated to account for interdependence within couples.40 We conducted cross-sectional dyadic regression analyses to examine hypothesized associations between our independent variables and love and trust. We built multivariable regression models by using a hierarchical block approach to grouping variables into theoretically relevant domains.45 We assessed plausible interactions and confounding via changes in other estimates,46 and compared the fit of nested models by using the Akaike information criterion.47
Notably, one hypothesized correlate of reduced love, concurrent sexual partners, had a small sample size but strong predictive results among men. Because of minimal variation in the low love scores reported by men with concurrent partners, we retained concurrency in one final model because it may indicate a trend. However, because of the possibility that this binary concurrency variable could affect other estimates and explain much of the variation in love, we ran a second final model excluding concurrency. Results from both models are discussed.
RESULTS
Among 161 couples (n = 322 individuals), median age was 35 years (interquartile range [IQR] = 30–41), median relationship duration was 4 years (IQR = 2.8–6.2), and 96% of couples were married or in common-law unions (Table 1). Relationship satisfaction was relatively high (15 of 20 possible points), but conflict was also common, with 55% reporting perpetrating physical or psychological abuse in the past year and 50% being victimized. Most couples (89%) never used condoms in the past month. Overall, 5% of partners had “steady” (ongoing) concurrent sexual partnerships, which was more common among women than men (8% vs 2%; P < .05), because of regular clients being captured by this measure. Drug use in the past 6 months was prevalent, with 48% using heroin, 22% using methamphetamine, and nearly half (47%) injecting any drugs.
TABLE 1—
Variable | Women (n = 161) | Men (n = 161) | Overall (n = 322) |
Sociodemographics and personal factors | |||
Age, y, median (IQR) | 34 (28–40) | 37 (32–44) | 35 (30–41)** |
Income < 2500 pesosa/month, no. (%) | 57 (35) | 27 (17) | 84 (26)** |
Children aged < 18 y currently live with participants, no. (%) | 55 (34) | 51 (32) | 106 (33) |
Depression score,b median (IQR) | 8 (5–12) | 3 (2–7) | 6 (3–10)** |
Relationship factors | |||
Married to or in common-law union with partner, no. (%) | . . . | . . . | 310 (96) |
Median steady relationship duration in years (IQR)c | . . . | . . . | 4.0 (2.8–6.2) |
Never used condoms for vaginal sex within the steady relationship, past month,c no. (%) | . . . | . . . | 236 (89) |
Median relationship satisfaction scored (IQR) | 15 (13–15) | 15 (14–15) | 15 (14–15) |
Perpetrated conflict within relationship, past 6 mo,e no. (%) | 99 (61) | 79 (49) | 178 (55)* |
Victim of conflict within relationship, past 6 mo,e no. (%) | 83 (52) | 77 (48) | 160 (50) |
Drug abuse behaviors, past 6 mo, no. (%) | |||
Used heroin | 80 (50) | 74 (46) | 154 (48) |
Used methamphetamine | 35 (22) | 35 (22) | 70 (22) |
Used cocaine | 10 (6) | 8 (5) | 18 (6) |
Used crack | 17 (11) | 10 (6) | 27 (8) |
Injected any drugs | 80 (50) | 72 (45) | 152 (47) |
Shared syringes within steady relationship | 20 (12) | 19 (12) | 39 (12) |
Shared syringes outside steady relationship | 9 (6) | 11 (7) | 20 (6) |
Sexual behaviors, no. (%) | |||
Has other “steady” concurrent partners, past year | 13 (8) | 4 (2) | 17 (5)* |
Male partner had any casual outside sexual partners, past 6 mo | . . . | 45 (28) | . . . |
FSW rarely or never used condoms with clients, past month | 56 (35) | . . . | . . . |
Note. FSW = female sex worker; IQR = interquartile range.
< US $200.
Center for Epidemiologic Studies Short Depression Scale: 10 items, 30 possible points.
Dyad average (uses information from both partners’ responses within a given couple).
5 items, 20 possible points.
Conflict Tactics Scale subscales (combined) for any past-year psychological aggression, physical assault, injury, and sexual coercion within relationships.
*P < .05; **P < .01 for differences between women and men (from regression with clustered SEs within couples).
Love and Trust Within Sex Workers’ Intimate Relationships
Love and trust scores were relatively high among couples. The median love score was 70 out of 95 possible points (IQR = 65–73 points; Table 2). Although there were no gender differences in total love or trust scores, there were statistically significant gender differences in responses to specific passion and commitment items: men were more likely than women to agree or strongly agree with the statements, “sex is important in your relationship” (P < .001), “you feel attracted to other possible partners” (P < .001), and “you will probably have another love relationship later in your life” (P < .001). More women agreed with the statements, “you see your relationship with your partner as never ending,” and “you would rather be with your partner than with anyone else,” although these differences only approached statistical significance (P < .1).
TABLE 2—
Responses, No. (%) |
|||||
Item | Strongly Disagree | Disagree | Neutral | Agree | Strongly Agree |
Love scalea | |||||
Intimacy | |||||
You and your partner share personal information with each other. | 3 (1) | 22 (7) | 29 (9) | 244 (78) | 15 (5) |
You can tell everything to your partner. | 5 (2) | 46 (15) | 39 (12) | 208 (66) | 15 (5) |
You and your partner tell each other about private thoughts and feelings. | 4 (1) | 32 (10) | 33 (11) | 228 (73) | 16 (5) |
Some things you can only tell to your partner and to no one else. | 4 (1) | 20 (6) | 26 (8) | 243 (78) | 20 (6) |
Your partner understands how you feel. | 4 (1) | 28 (9) | 33 (11) | 230 (73) | 18 (6) |
You and your partner think the same about a lot of things. | 5 (2) | 27 (9) | 34 (11) | 228 (73) | 19 (6) |
Most of the time you feel very close to your partner. | 4 (1) | 28 (9) | 34 (11) | 228 (73) | 19 (6) |
Passion | |||||
You feel a strong attraction toward your partner. | 3 (1) | 18 (6) | 28 (9) | 248 (79) | 16 (5) |
You often feel aroused when your partner is with you. | 5 (2) | 25 (8) | 30 (10) | 238 (76) | 14 (4) |
You and your partner are very passionate together. | 3 (1) | 24 (8) | 31 (10) | 239 (77) | 15 (5) |
You find your partner sexually attractive. | 1 (< 1) | 24 (8) | 28 (9) | 242 (77) | 18 (6) |
You and your partner show each other a lot of affection. | 1 (< 1) | 23 (7) | 30 (10) | 240 (77) | 19 (6) |
Sex is important in your relationship.** | 3 (1) | 90 (29) | 39 (12) | 165 (53) | 16 (5) |
Commitment | |||||
Sometimes, you would rather be single than in a relationship.b | 14 (4) | 163 (52) | 56 (18) | 70 (22) | 10 (3) |
You feel attracted to other possible partners.b,** | 16 (5) | 147 (47) | 42 (13) | 102 (33) | 6 (2) |
You see your relationship with your partner as never-ending. | 4 (1) | 170 (54) | 47 (15) | 77 (25) | 15 (5) |
You will probably have another love relationship later in your life.b,** | 17 (5) | 133 (42) | 63 (20) | 96 (31) | 4 (1) |
You think that your relationship with your partner will last forever. | 4 (1) | 47 (15) | 53 (17) | 196 (63) | 13 (4) |
You would rather be with your partner than with anyone else. | 3 (1) | 23 (7) | 33 (11) | 237 (76) | 17 (5) |
Trust scalec | |||||
Your partner is more interested in his or her welfare than in yours.b | 11 (4) | 195 (62) | 46 (15) | 52 (17) | 9 (3) |
There are times when your partner cannot be trusted.b | 10 (3) | 136 (43) | 53 (17) | 102 (33) | 12 (4) |
Your partner is honest and truthful with you. | 3 (1) | 36 (12) | 64 (20) | 199 (64) | 11 (4) |
Your feel that you can trust your partner completely. | 4 (1) | 56 (18) | 76 (24) | 163 (52) | 14 (4) |
Your partner is truly sincere in his or her promises. | 6 (2) | 43 (14) | 46 (15) | 205 (66) | 13 (4) |
Your partner does not show you enough consideration.b,** | 8 (3) | 121 (39) | 40 (13) | 134 (43) | 10 (3) |
Your partner treats you fairly and justly.* | 4 (1) | 33 (11) | 36 (12) | 228 (73) | 12 (4) |
You can count on your partner to help you. | 3 (1) | 16 (5) | 28 (9) | 251 (80) | 15 (5) |
From the 19-item Triangular Love Scale (range = 19–95 points; α = 0.9137). The median total love score = 70 points (interquartile range = 65–73).
Item was reverse-coded for calculating total score.
From the 8-item Dyadic Trust Scale (range = 8–40; α = 0.8453). Median trust score = 29 points (interquartile range = 24–31 points).
*P < .05; **P < .01 for differences between women and men (from regression with clustered SEs within couples).
The median trust score was 29 of 40 possible points (IQR = 24–31; Table 2). There were no gender differences in total median trust scores, although men were more likely than women to agree or strongly agree with the statement, “your partner does not show you enough consideration” (P < .001), but also “your partner treats you fairly and justly” (P < .05). Both love and trust were highly correlated with relationship satisfaction.
Factors Associated With Love and Trust
Unadjusted regression analyses identified associations between relationship and behavioral factors and love and trust (Table 3). Men with lower income (i.e., earning less than US $200 per month) reported lower trust (P < .05). In unadjusted analyses, depression and perpetrating or being victimized by relationship conflict were associated with reduced trust for both women and men; depression and victimization were further associated with reduced love for men.
TABLE 3—
Love |
Trust |
|||
Characteristics | Women, Unadjusted Coefficient (SE)a | Men, Unadjusted Coefficient (SE)a | Women, Unadjusted Coefficient (SE)a | Men, Unadjusted Coefficient (SE)a |
Sociodemographics and personal factors | ||||
Age in years | 0.058 (–0.105, 0.220) | −0.002 (–0.143, 0.140) | 0.013 (–0.090, 0.116) | 0.009 (–0.050, 0.069) |
Income < $200 per month | −0.812 (–4.117, 2.493) | –3.896 (–8.211, 0.418) | −0.333 (–2.092, 1.427) | –1.612* (–3.064, −0.160) |
Children aged > 18 years currently live with participants | −2.655 (–6.636, 1.326) | 1.083 (–1.935, 4.101) | −1.673 (–3.667, 0.322) | −0.994 (–2.600, 0.613) |
Depression score (CESD: 10 items, 30 possible points) | –0.364 (–0.745, 0.017) | –0.392* (–0.755, −0.029) | –0.426** (–0.628, −0.224) | –0.267* (–0.474, −0.060) |
Relationship factors | ||||
Married to or in common-law union with partner | 7.340 (4.86, 9.82) | 3.411 (–30.12, 37.02) | 10.515 (8.87, 12.16) | 6.642 (2.21–, 11.07) |
Duration of steady relationship in years | 0.171 (–0.217, 0.559) | 0.078 (–0.148, 0.304) | 0.008 (–0.186, 0.202) | 0.031 (–0.081, 0.143) |
Never used condoms for vaginal sex within the steady relationship, past month | 12.811* (0.053, 25.569) | 4.333 (–11.942, 20.608) | 4.96 (–0.149, 10.070) | 1.960 (–3.399, 7.319) |
Relationship satisfaction score (5 items, 20 possible points) | 2.687** (2.012, 3.363) | 1.955** (1.176, 2.734) | 1.253** (0.861, 1.645) | 0.948** (0.622, 1.273) |
Perpetrated conflict within relationship, past 6 mob | −0.791 (–4.315, 2.734) | −0.789 (–3.388, 1.809) | –2.577** (–4.241, −0.913) | –1.439* (–2.712, −0.167) |
Victim of conflict within relationship, past 6 mob | –3.247 (–6.584, 0.089) | –2.952* (–5.507, 0.396) | –3.013** (–4.669, −1.358) | –2.094** (–3.350, −0.839) |
Drug abuse behaviors, past 6 mo | ||||
Used heroin | 2.844 (–0.320, 6.007) | −0.475 (–2.940, 1.990) | 1.267 (–0.535, 3.070) | 0.462 (–0.784, 1.709) |
Used methamphetamine | –8.347** (–14.066, −2.628) | –8.521** (–13.134, −3.908) | –1.957 (–4.241, 0.328) | –3.270** (–5.225, −1.315) |
Used cocaine | −2.327 (–8.675, 4.021) | 0.545 (–3.402, 4.492) | −3.375 (–7.588, 0.839) | 1.258 (–0.273, 2.790) |
Used crack | 3.400 (–2.981, 9.782) | 0.678 (–1.881, 3.236) | 1.279 (–2.292, 4.850) | 0.432 (–1.569, 2.434) |
Injected any drugs | 1.998 (–1.189, 5.185) | −0.730 (–3.247, 1.788) | 0.966 (–0.766, 2.699) | 0.327 (–0.890, 1.543) |
Shared syringes within steady relationship | 0.243 (–4.141, 4.627) | −0.359 (–3.447, 2.729) | 0.349 (–2.226, 2.925) | 0.622 (–1.659, 2.903) |
Shared syringes outside steady relationship | –11.977** (–18.260, −5.693) | −3.789 (–10.680, 3.103) | –3.749 (–7.978, 0.480) | –4.315** (–7.370, −1.260) |
Sexual risk behaviors | ||||
Has other “steady” concurrent partners, past year | −6.467 (–14.539, 1.604) | –10.519* (–20.677, −0.362) | −1.758 (–5.586, 2.071) | −1.236 (–8.332, 5.860) |
Male partner had any casual outside sexual partners, past 6 mo | –7.32 (–15.682, 1.026) | –6.839 (–11.130, −2.549) | −2.167 (–6.112, 1.779) | –2.888* (–4.767, −1.009) |
FSW rarely or never used condoms with clients, past month | –4.561* (–8.461, −0.662) | −1.718 (–4.797, 1.361) | –2.269* (–4.214, −0.324) | −0.271 (–1.509, 0.968) |
Note. CESD = Center for Epidemiologic Studies Short Depression Scale; FSW = female sex worker.
Bootstrapped SEs.
Conflict Tactics Scale subscales (combined) for any past-year psychological aggression, physical assault, injury, and sexual coercion within relationships.
*P < .05; **P < .01 for associations with dependent variables (love and trust).
Regarding HIV risk behaviors, unprotected sex within steady relationships was associated with higher love (P < .05) and approached significance with higher trust (P < .1) among women. Men with steady concurrent sexual partners had reduced love scores (P < .05), whereas women who rarely or never used condoms with clients had reduced love and trust scores (P < .05). Methamphetamine use was associated with lower love for both partners and lower trust for men. Sharing syringes outside steady relationships (i.e., with other people) was associated with lower love among women and lower trust among men (both P < .01).
Factors Independently Associated With Love and Trust
Several factors were independently associated with love and trust in multivariable analyses (Table 4). Because of small numbers of men reporting steady concurrent sexual partners, we conducted 2 final regression models for love (first including and then excluding concurrency). In the first model, concurrency was associated with an 8.6-point reduction in love scores among men (95% confidence interval [CI] = −12.9, −4.2) and methamphetamine use approached significance (P = .084). In the second love model (excluding concurrency), methamphetamine use became significantly associated with reduced love among men (average 3.7-point reductions in love scores, 95% CI = −7.4, −0.06; P < .05). For women in both models, methamphetamine use was associated with reduced love (4.7- and 5.0-point lower scores, 95% CI = −8.4, −0.9 and −8.7, −1.2, respectively), whereas heroin use approached significance with increased love (P = .073).
TABLE 4—
Variable | Women, Adjusted Coefficient (SE)c | Men, Adjusted Coefficient (SE)c |
Love (model 1a) | ||
Used heroin, past 6 mo | 1.900 (–0.209, 4.009) | −0.653 (–2.287, 0.981) |
Used methamphetamine, past 6 mo | –4.661* (–8.420, −0.902) | –2.962 (–6.324, 0.400) |
Had steady concurrent partner, past year | −1.846 (–7.378, 3.686) | –8.561** (–12.915, −4.208) |
Love (model 2b) | ||
Used heroin, past 6 mo | 1.962 (–0.185, 4.109) | −0.544 (–2.225, 1.137) |
Used methamphetamine, past 6 mo | −4.962* (–8.743, −1.182) | −3.744* (–7.429, 0.058) |
Trust | ||
Shared syringses outside steady relationship, past 6 mo | 1.146 (–2.662, 4.955) | –2.050 (–4.329, 0.224) |
Victim of conflict within steady relationship, past 6 mod | –1.901** (–3.169, −0.633) | –0.915* (–1.804, −0.026) |
Model included concurrency.
Model excluded concurrency.
Bootstrapped SEs. Models controlled for relationship satisfaction, trust (in the love model), love (in the trust model), and correlation within couples.
Conflict Tactics Scale subscales (combined) for any past-year psychological aggression, physical assault, injury, and sexual coercion within relationships.
*P < .05; **P < .01 for associations with dependent variables (love and trust).
In the single final model for trust, being the victim of verbal or physical conflict within relationships was associated with reduced trust among women and men (average 1.9- and 0.9-point reductions in trust scores, 95% CI = −3.2, −0.6 and −1.8, −0.1, respectively). Sharing syringes outside steady relationships approached significance with lower trust among men (P = .087).
DISCUSSION
To our knowledge, this study is the first to quantitatively assess love and trust among vulnerable couples in a resource-poor setting. Distinct from the higher socioeconomic status samples in which these scales have previously been implemented,16,17 sex workers and their noncommercial partners in Mexican border cities face social and economic marginalization that heighten their vulnerability to HIV. We identified important associations between love and trust and indicators of relationship quality and HIV risk.
Similar to the theoretical relationships conceptualized in the literature16 and supporting our previous ethnographic and qualitative research,33 love and trust scores were relatively high and strongly correlated with each other and with relationship satisfaction. Unlike previous studies that used this “triangular love” scale,16 we found no gender differences in overall scores, perhaps reflecting recent ethnographic work on the importance of companionate love relationships in which both partners equally value emotional and physical intimacy.20,22 However, men had lower commitment scores than women because of specific items measuring sexual attraction to other partners and believing in the likelihood of having another relationship whereas women were more likely to view their relationships as lasting, patterns consistent with gender differences in intimate relationship literature.24,48
Building on this finding, we identified a strong correlation between having steady concurrent sexual partners and reduced love among men. Though it was driven by a small number of men, this finding may reflect an invisible trend in this population. Ethnographic work from rural Mexico has found that emotional connections with spouses do not preclude men from engaging in extramarital relationships.49 Indeed, in our sample, more men reported any outside sexual encounters (28%) versus steady concurrent sexual relationships (2%). We suggest that longer-term concurrent partnerships may reflect increasing emotional ties that threaten the stability of primary relationships, possibly leading to relationship dissolution. Although steady concurrent sexual partnerships could be a predictor of dissolution, we are unable to formally test this hypothesis because our cross-sectional sample was composed of complete couples who have remained together for at least 18 months. It was interesting that there was no significant association between concurrency and love among women, perhaps because these other sexual partners are typically clients representing financial gain.50 Although women may “trust” their regular clients, these relationships are not generally ascribed the same intimate meanings as their primary relationships. HIV interventions should thus consider not only the presence of concurrent sexual partners, but also how external emotional attachment could compromise primary relationships and place all partners involved at risk for HIV.
Drug use was associated with love and trust in our final models in unique ways. Among men in the second love model (excluding concurrency), methamphetamine use was significantly associated with reduced love. Among women, methamphetamine use was also associated with reduced love, whereas heroin use approached a significant association with elevated love. Our findings may reflect the biobehavioral implications of these drugs. The depressant effects and intense malilla (physical withdrawal) associated with heroin use could strengthen women’s emotional dependence on their intimate partners, just as the act of sharing drugs and syringes could reinforce or deepen connections between partners, as observed in our ethnographic work.51 Conversely, methamphetamine can inhibit cues that normally control behavior, engendering heightened energy, agitation, interpersonal conflict, and physical arousal that may exacerbate sexual risk taking (e.g., unprotected sex, multiple partners).52,53 Drawing on research on syndemics (interrelated epidemics) of stimulant abuse, intimate partner violence, and HIV risk,54 our findings that partners who use methamphetamine report lower levels of love may reflect such relationship chaos and diminished emotional bonds. We also found that sharing syringes outside steady relationships approached significance with reduced trust among men, again supporting our previous ethnographic work and hypotheses that emotionally close partners engage in fewer known HIV risk behaviors outside their relationships.33 Although it is uncertain from our cross-sectional analyses whether the associations with drug use reflect true emotional states or constitute externalizations of the psychoactive effects of the drugs themselves, our results nevertheless suggest that HIV interventions should address drug use in the context of intimate relationships.
Finally, being the victim of any past-year verbal or physical intimate partner violence was significantly associated with lower levels of trust among both women and men. Our previous work revealed high levels of conflict perpetration and victimization among both partners in these couples, which was associated with HIV/STI positivity and methamphetamine use among men, suggesting higher risk profiles and a propensity toward emotional instability and impulsivity.55 We also documented partners’ difficulty disclosing sexual risks external to their relationships, especially within volatile couples, as a way to avoid conflict.32 Ongoing qualitative analyses suggest that men’s conflict is often grounded in drug withdrawal and feelings of emasculation and suspicion because of relying on women’s sex work, whereas women perpetrate conflict when they feel deprived of affection,56 revealing how trust and conflict reflect the broader HIV risk environment and shifting gender roles on the border.
Implications for HIV Interventions
Our findings suggest that couples-based HIV prevention approaches require tailoring based on couples’ emotional dynamics. For couples with high love and trust, programs could build upon foundations of emotional commitment to motivate protection of intimate partners.57 Alternative strategies for couples without such emotional attachment could address partners’ issues individually (e.g., drug addiction, impulsivity, concurrent sexual partners) as part of a process working toward sexual risk communication within relationships.58 Interventions should also address gendered forms of conflict as a means to reduce HIV risk.4,59
Attention to relationship emotions is particularly important in light of the increasing popularity of biomedical and combination approaches to HIV prevention.60 Efficacy of many new biomedical prevention approaches (e.g., pre-exposure prophylaxis) is closely tied to adherence behaviors, which are embedded within social and interpersonal contexts.61,62 Considering relationship factors could help improve combination intervention approaches, including addressing issues related to trust and communication. For structural interventions targeted at female sex workers, particularly efforts aimed at community mobilization and gender equality,63,64 women may need and want their partner’s emotional support to benefit from empowerment approaches. Building on the supportive aspects of relationships may be a useful alternative to conceptualizing these relationships only as sources of risk.
Limitations and Strengths
Our study has limitations. Our sample included sex workers and their partners who had been together for at least 18 months, representing longer term, more supportive, and less conflictive couples. Additional work is needed to understand the importance of emotions in other relationship contexts. Although attrition may have had an impact on our sample size, we retained three quarters of our socially marginalized cohort after 12 months, likely reflecting our intensive retention strategies.35 Because this was a cross-sectional study, we are unable to infer temporality from the associations we identified; longitudinal work should assess how the interrelationships among love, trust, relationship, and behavioral factors dynamically influence HIV risk over time.
Finally, our attempt to measure love and trust is both a strength and limitation. We acknowledge that love and trust may connote distinct meanings across diverse contexts and that scales impose an etic perspective rather than capturing an emic, or insider, experience that is better suited to ethnography. Although formal scale validity assessment was beyond the scope of this study, future work could use cognitive interviewing to better understand local interpretations of these scales.65 Cultural domain analysis and cultural consensus techniques could also help construct culturally relevant emotional domains to measure how partners compare their relationships to idealized models.66 However, supported by our ethnographic work and the literature, our use of these scales identified strong correlations between love, trust, and relationship satisfaction, suggesting the importance of emotions in these relationships.
Conclusions
Despite these challenges, our study represents a first effort to quantify the emotional constructs of love and trust within female sex workers’ intimate, noncommercial relationships. Intimacy within these relationships is rarely recognized by mainstream society, yet our results suggest that emotions are of fundamental importance to marginalized couples’ experiences and are interlinked with relationship quality, sexual risk, drug use, and conflict. These factors characterize an important context surrounding HIV vulnerability that prevention interventions should recognize. Researchers should continue to assess how love and trust shape HIV risk among diverse couples to inform prevention programming.
Acknowledgments
We acknowledge generous funding by National Institutes of Health (grants R01DA027772, T32DA023356, T32AI007384, and R36DA032376).
We would like to thank the project staff. Thanks also to Samuel Bazzi, PhD, and Mark Hubbe, PhD, for their statistical advice. Finally, we wish to express our gratitude to the parejas who shared their lives with us and without whom this study would not have been possible.
Human Participant Protection
Institutional review boards of the University of California San Diego, Tijuana’s Hospital General, El Colegio de la Frontera Norte, and La Universidad Autónoma de Ciudad Juárez approved all protocols.
References
- 1.Sobo EJ. Inner-city women and AIDS: the psycho-social benefits of unsafe sex. Cult Med Psychiatry. 1993;17(4):455–485. doi: 10.1007/BF01379310. [DOI] [PubMed] [Google Scholar]
- 2.Lear D. Sexual communication in the age of AIDS: the construction of risk and trust among young adults. Soc Sci Med. 1995;41(9):1311–1323. doi: 10.1016/0277-9536(95)00010-5. [DOI] [PubMed] [Google Scholar]
- 3.Pivnick A. HIV infection and the meaning of condoms. Cult Med Psychiatry. 1993;17(4):431–453. doi: 10.1007/BF01379309. [DOI] [PubMed] [Google Scholar]
- 4.Amaro H. Love, sex, and power: considering women’s realities in HIV prevention. Am Psychol. 1995;50(6):437–447. doi: 10.1037//0003-066x.50.6.437. [DOI] [PubMed] [Google Scholar]
- 5.Barrington C, Latkin C, Sweat MD, Moreno L, Ellen J, Kerrigan D. Talking the talk, walking the walk: social network norms, communication patterns, and condom use among the male partners of female sex workers in La Romana, Dominican Republic. Soc Sci Med. 2009;68(11):2037–2044. doi: 10.1016/j.socscimed.2009.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Stoebenau K, Hindin MJ, Nathanson CA, Rakotoarison PG, Razafintsalama V. “But then he became my sipa”: the implications of relationship fluidity for condom use among women sex workers in Antananarivo, Madagascar. Am J Public Health. 2009;99(5):811–819. doi: 10.2105/AJPH.2007.118422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Warr DJ, Pyett PM. Difficult relations: sex work, love and intimacy. Sociol Health Illn. 1999;21(3):290–309. [Google Scholar]
- 8.Simmons J, Singer M. I love you... and heroin: care and collusion among drug-using couples. Subst Abuse Treat Prev Policy. 2006;1(1):7. doi: 10.1186/1747-597X-1-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Rhodes T, Quirk A. Drug users’ sexual relationships and the social organisation of risk: the sexual relationship as a site of risk management. Soc Sci Med. 1998;46(2):157–169. doi: 10.1016/s0277-9536(97)00156-1. [DOI] [PubMed] [Google Scholar]
- 10.Murray L, Moreno L, Rosario S, Ellen J, Sweat M, Kerrigan D. The role of relationship intimacy in consistent condom use among female sex workers and their regular paying partners in the Dominican Republic. AIDS Behav. 2007;11(3):463–470. doi: 10.1007/s10461-006-9184-5. [DOI] [PubMed] [Google Scholar]
- 11.Bauermeister JA, Ventuneac A, Pingel E, Parsons JT. Spectrums of love: examining the relationship between romantic motivations and sexual risk among young gay and bisexual men. AIDS Behav. 2012;16(6):1549–1559. doi: 10.1007/s10461-011-0123-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Graham JM. Measuring love in romantic relationships: a meta-analysis. J Soc Pers Relat. 2011;28(6):748–771. [Google Scholar]
- 13.Sternberg RJ. A triangular theory of love. Psychol Rev. 1986;93(2):119–135. [Google Scholar]
- 14.Sternberg RJ. Construct validation of a triangular love scale. Eur J Soc Psychol. 1997;27(3):313–335. [Google Scholar]
- 15.Sternberg RJ, Grajek S. The nature of love. J Pers Soc Psychol. 1984;47(2):312–329. [Google Scholar]
- 16.Lemieux R, Hale JL. Intimacy, passion, and commitment in young romantic relationships: successfully measuring the triangular theory of love. Psychol Rep. 1999;85(2):497–503. doi: 10.2466/pr0.1999.85.2.497. [DOI] [PubMed] [Google Scholar]
- 17.Larzelere RE, Huston TL. The Dyadic Trust Scale: toward understanding interpersonal trust in close relationships. J Marriage Fam. 1980;42(3):595–604. [Google Scholar]
- 18.Alaszewski A, Coxon K. Uncertainty in everyday life: risk, worry and trust. Health Risk Soc. 2009;11(3):201–207. [Google Scholar]
- 19.Rhodes T, Prodanović A, Žikić B et al. Trust, disruption and responsibility in accounts of injecting equipment sharing and hepatitis C risk. Health Risk Soc. 2008;10(3):221–240. [Google Scholar]
- 20.Hirsch JS, Wardlow H. Modern Loves: The Anthropology of Romantic Courtship and Companionate Marriage. Ann Arbor, MI: The University of Michigan Press; 2006. [Google Scholar]
- 21.Hirsch JS, Wardlow H, Smith DJ, Phinney H, Parikh S, Nathanson CA. The Secret: Love, Marriage, and HIV. Nashville, TN: Vanderbilt University Press; 2009. [Google Scholar]
- 22.Padilla M, Hirsch JS, Munoz-Laboy M, Sember RE, Parker RG. Love and Globalization: Transformations of Intimacy in the Contemporary World. Nashville, TN: Vanderbilt University Press; 2007. [Google Scholar]
- 23.Sprecher S, Sedikides C. Gender differences in perceptions of emotionality: the case of close heterosexual relationships. Sex Roles. 1993;28(9-10):511–530. [Google Scholar]
- 24.Acitelli LK, Young AM. Gender and thought in relationships. In: Fletcher GJ, Fitness J, editors. Knowledge Structures in Close Relationships: A Social Psychological Approach. Mahwah, NJ: Lawrence Erlbaum Associates; 1996. pp. 147–168. [Google Scholar]
- 25.Peplau LA, Gordon SL. Women and men in love: gender differences in close heterosexual relationships. In: O’Leary VE, Unger RK, Wallston BS, editors. Women, Gender and Social Psychology. Hillsdale, NJ: Lawrence Erlbaum; 1985. pp. 257–291. [Google Scholar]
- 26.Ramos R, Ferreira-Pinto JB, Brouwer KC et al. A tale of two cities: social and environmental influences shaping risk factors and protective behaviors in two Mexico–US border cities. Health Place. 2009;15(4):999–1005. doi: 10.1016/j.healthplace.2009.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Rhodes T. Risk environments and drug harms: a social science for harm reduction approach. Int J Drug Policy. 2009;20(3):193–201. doi: 10.1016/j.drugpo.2008.10.003. [DOI] [PubMed] [Google Scholar]
- 28.Bucardo J, Brouwer KC, Magis-Rodríguez C et al. Historical trends in the production and consumption of illicit drugs in Mexico: implications for the prevention of blood borne infections. Drug Alcohol Depend. 2005;79(3):281–293. doi: 10.1016/j.drugalcdep.2005.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Strathdee SA, Philbin MM, Semple SJ et al. Correlates of injection drug use among female sex workers in two Mexico–US border cities. Drug Alcohol Depend. 2008;92(1-3):132–140. doi: 10.1016/j.drugalcdep.2007.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rolon ML, Syvertsen JL, Robertson AM et al. The influence of having children on HIV-related risk behaviors of female sex workers and their intimate male partners in two Mexico–US border cities. J Trop Pediatr. 2013;59(3):214–219. doi: 10.1093/tropej/fmt009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Connell R. Gender, health and theory: conceptualizing the issue, in local and world perspective. Soc Sci Med. 2012;74(11):1675–1683. doi: 10.1016/j.socscimed.2011.06.006. [DOI] [PubMed] [Google Scholar]
- 32.Syvertsen JL, Robertson AM, Rolón ML et al. “Eyes that don’t see, heart that doesn’t feel”: coping with sex work in intimate relationships and its implications for HIV/STI prevention. Soc Sci Med. 2013;87:1–8. doi: 10.1016/j.socscimed.2013.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Syvertsen JL, Robertson AM, Palinkas LA, Rangel MG, Martinez G, Strathdee SA. “Where sex ends and emotions begin”: love and HIV risk among female sex workers and their intimate, non-commercial partners along the Mexico–US border. Cult Health Sex. 2013;15(5):540–554. doi: 10.1080/13691058.2013.773381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Robertson AM, Syvertsen JL, Martinez G et al. Acceptability of vaginal microbicides among female sex workers and their intimate male partners in two Mexico–US border cities: a mixed methods analysis. Glob Public Health. 2013;8(5):619–633. doi: 10.1080/17441692.2012.762412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Syvertsen JL, Robertson AM, Abramovitz D et al. Study protocol for the recruitment of female sex workers and their non-commercial partners into couple-based HIV research. BMC Public Health. 2012;12:136. doi: 10.1186/1471-2458-12-136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Biernacki P, Waldorf D. Snowball sampling: problems and techniques of chain referral sampling. Sociol Methods Res. 1981;10(2):141–163. [Google Scholar]
- 37.Watters J, Biernacki P. Targeted sampling: options for the study of hidden populations. Soc Probl. 1989;36(4):416–430. [Google Scholar]
- 38.Grzywacz JG, Hovey JD, Seligman LD, Arcury TA, Quandt SA. Evaluating short-form versions of the CES-D for measuring depressive symptoms among immigrants from Mexico. Hisp J Behav Sci. 2006;28(3):404–424. [PMC free article] [PubMed] [Google Scholar]
- 39.Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401. [Google Scholar]
- 40.Kenny DA, Kashy DA, Cook WL. Dyadic Data Analysis. New York, NY: Gilford; 2006. [Google Scholar]
- 41.Johnson HA, Zabriskie RB, Hill B. The contribution of couple leisure involvement, leisure time, and leisure satisfaction to marital satisfaction. Marriage Fam Rev. 2006;40(1):69–91. [Google Scholar]
- 42.Straus MA. Cross-cultural reliability and validity of the Revised Conflict Tactics Scales: a study of university student dating couples in 17 nations. Cross-Cultural Res. 2004;38(4):407–432. [Google Scholar]
- 43.Straus MA, Douglas EM. A short form of the Revised Conflict Tactics Scales, and typologies for severity and mutuality. Violence Vict. 2004;19(5):507–520. doi: 10.1891/vivi.19.5.507.63686. [DOI] [PubMed] [Google Scholar]
- 44.Amemiya T. Advanced Econometrics. Cambridge, MA: Harvard University Press; 1985. [Google Scholar]
- 45.Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224–227. doi: 10.1093/ije/26.1.224. [DOI] [PubMed] [Google Scholar]
- 46.Greenland S. Modeling and variable selection in epidemiologic analysis. Am J Public Health. 1989;79(3):340–349. doi: 10.2105/ajph.79.3.340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19(6):716–723. [Google Scholar]
- 48.Peplau LA. Human sexuality: how do men and women differ? Curr Dir Psychol Sci. 2003;12(2):37–40. [Google Scholar]
- 49.Hirsch JS, Meneses S, Thompson B, Negroni M, Pelcastre B, Del Rio C. The inevitability of infidelity: sexual reputation, social geographies, and marital HIV risk in rural Mexico. Am J Public Health. 2007;97(6):986–996. doi: 10.2105/AJPH.2006.088492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Robertson AM, Syvertsen JL, Amaro H et al. Can’t buy my love: a typology of female sex workers’ commercial relationships in the Mexico–U.S. border region. J Sex Res. 2014;51(6):711–720. doi: 10.1080/00224499.2012.757283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Syvertsen JL, Robertson AM. Sex work, heroin injection, and HIV risk in Tijuana: a love story. Anthropol Consciousness. In press. [DOI] [PMC free article] [PubMed]
- 52.González-Guarda RM, Florom-Smith AL, Thomas T. A syndemic model of substance abuse, intimate partner violence, HIV infection, and mental health among Hispanics. Public Health Nurs. 2011;28(4):366–378. doi: 10.1111/j.1525-1446.2010.00928.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Scott JC, Woods S, Matt G et al. Neurocognitive effects of methamphetamine: a critical review and meta-analysis. Neuropsychol Rev. 2007;17(3):275–297. doi: 10.1007/s11065-007-9031-0. [DOI] [PubMed] [Google Scholar]
- 54.Meyer JP, Springer SA, Altice FL. Substance abuse, violence, and HIV in women: a literature review of the syndemic. J Womens Health (Larchmt) 2011;20(7):991–1006. doi: 10.1089/jwh.2010.2328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Robertson AM, Syvertsen JL, Ulibarri MD, Rangel MG, Martinez G, Strathdee SA. Prevalence and correlates of HIV and sexually transmitted infections among female sex workers and their non-commercial male partners in two Mexico–USA border cities. J Urban Health. 2014;91(4):752–767. doi: 10.1007/s11524-013-9855-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Ulibarri MD, Salazar M, Robertson AM, et al. Relationship conflict among female sex workers and their intimate partners. Paper presented at: 19th International Conference and Summit on Violence, Abuse, and Trauma; September 10, 2014; San Diego, CA.
- 57.Corbett AM, Julia D-G, Helena H, Margaret RW. A little thing called love: condom use in high-risk primary heterosexual relationships. Perspect Sex Reprod Health. 2009;41(4):218–224. doi: 10.1363/4121809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.El-Bassel N, Gilbert L, Witte S, Wu E, Hunt T, Remien RH. Couple-based HIV prevention in the United States: advantages, gaps, and future directions. J Acquir Immune Defic Syndr. 2010;55(suppl 2):S98–S101. doi: 10.1097/QAI.0b013e3181fbf407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.El-Bassel N, Gilbert L, Witte S, Wu E, Chang M. Intimate partner violence and HIV among drug-involved women: contexts linking these two epidemics—challenges and implications for prevention and treatment. Subst Use Misuse. 2011;46(2-3):295–306. doi: 10.3109/10826084.2011.523296. [DOI] [PubMed] [Google Scholar]
- 60.Brown JL, Sales J, DiClemente R. Combination HIV prevention interventions: the potential of integrated behavioral and biomedical approaches. Curr HIV/AIDS Rep. 2014;11(4):363–375. doi: 10.1007/s11904-014-0228-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Ware NC, Wyatt MA, Haberer JE et al. What’s love got to do with it? Explaining adherence to oral antiretroviral pre-exposure prophylaxis (PrEP) for HIV serodiscordant couples. J Acquir Immune Defic Syndr. 2012;59(5):463–468. doi: 10.1097/QAI.0b013e31824a060b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.van der Straten A, Stadler J, Montgomery E et al. Women’s experiences with oral and vaginal pre-exposure prophylaxis: the VOICE-C Qualitative Study in Johannesburg, South Africa. PLoS ONE. 2014;9(2) doi: 10.1371/journal.pone.0089118. e89118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Shannon K, Goldenberg SM, Deering KN, Strathdee SA. HIV infection among female sex workers in concentrated and high prevalence epidemics: why a structural determinants framework is needed. Curr Opin HIV AIDS. 2014;9(2):174–182. doi: 10.1097/COH.0000000000000042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Kerrigan D, Kennedy CE, Morgan-Thomas R et al. A community empowerment approach to the HIV response among sex workers: effectiveness, challenges, and considerations for implementation and scale-up. Lancet. 2015;385(9963):172–185. doi: 10.1016/S0140-6736(14)60973-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Reeve BB, Willis G, Shariff-Marco SN et al. Comparing cognitive interviewing and psychometric methods to evaluate a racial/ethnic discrimination scale. Field Methods. 2011;23(4):397–419. doi: 10.1177/1525822X11416564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Dressler WW, Borges CD, Balieiro MC, dos Santos JE. Measuring cultural consonance: examples with special reference to measurement theory in anthropology. Field Methods. 2005;17(4):331–355. [Google Scholar]