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. Author manuscript; available in PMC: 2015 Mar 9.
Published in final edited form as: Arch Dermatol. 2011 Jul;147(7):814–819. doi: 10.1001/archdermatol.2011.145

Preliminary evidence for mediation of the association between acculturation and sun-safe behaviors

Valentina A Andreeva 1,2, Myles G Cockburn 1, Amy L Yaroch 3,4, Jennifer B Unger 1, Robert Rueda 5, Kim D Reynolds 1,6
PMCID: PMC4353392  NIHMSID: NIHMS515992  PMID: 21768480

Abstract

Objectives

To identify and test mediators of the relationship between acculturation and sun-safe behaviors among Latinos in the United States. We hypothesized that the effect of acculturation on use of sunscreen, shade, and sun-protective clothing would be mediated by perceived health status, educational level, access to healthcare, and contact with social networks regarding health matters.

Design

The 2005 Health Information National Trends Survey, implemented by the National Cancer Institute.

Setting

Nationwide survey.

Participants

A probability-based sample of the US civilian, noninstitutionalized adult population, comprising 496 Latino respondents.

Main outcome measures

Use of sunscreen, shade, and sun-protective clothing when outdoors on sunny days, assessed by self-reports on frequency scales.

Results

The positive association between acculturation and sunscreen use and the negative association between acculturation and use of sun-protective clothing were mediated by educational level (P<0.05 for both). Perceived health status and contact with social networks regarding health matters were supported as mediators only for sunscreen use (P<0.05). Health care access was not supported as a mediator for any of the outcomes.

Conclusions

Structural equation models revealed distinct direct and indirect paths between acculturation and each sun-safe practice. Our findings place an emphasis on behavior-specific mediated associations and could inform sun safety programming for Latinos with low and high levels of acculturation. The models support education level, contact with social networks regarding health matters, and perceived health status as mediators primarily for sunscreen use. Future research should test different mediators for use of shade or sun-protective clothing.


Across skin types, UV radiation has been linked with DNA damage and skin cancer.13 Current annual age-adjusted melanoma incidence among Latinos, who display considerable diversity in sun sensitivity,4 is 4.5 per 100,000 (a 28.6% increase since 1992).5 In addition, Latinos exhibit persistently higher rates of thick melanoma at diagnosis compared with non-Latino whites.6,7

The acculturation of Latino's (regarding English language use and duration of US residence) was negatively associated with some behaviors related to the primary prevention of melanoma.8 Acculturation predicts access to and use of healthcare,9 which itself has been associated with sunscreen use, skin cancer examinations by a physician,10 and sunburn.11 The potential mediating effect of healthcare access on health practices merits particular attention in Latinos because of decreased melanoma awareness among patients and physicians.12 Furthermore, the established positive association between acculturation and leisure-time physical activity13 suggests a link between favorable health status and increased sun exposure. In fact, sunburn frequency was higher among individuals reporting excellent or good health.11 Research has linked acculturation with cultural capital (ie, second language acquisition and formal education attainment),14, 15 which itself might predict engagement in melanoma prevention,10 possibly because of increased awareness regarding risk factors or symptoms. A link between years of education and beach visits and sunscreen use also has been reported.16 Finally, as immigrants acculturate, their social connectedness increases.1719 The composition of the social network of the individual has been suggested as a mediator between acculturation and certain risky behaviors and health outcomes.19, 20

Acculturated Latinos might have increased exposure to sun safety information via health care access, education, and expanded social networks but display decreased engagement in some sun-safe behaviors. In this study we aimed to clarify the mechanisms of this association. We expected that healthcare access, perceived health status, educational level, and involvement with social networks regarding health matters would have behavior-specific effects on Latinos' sun safety. For example, we hypothesized that stronger health would be associated with decreased use of shade or sun-protective clothing but with increased sunscreen use. We also hypothesized that healthcare access, educational level, and the presence of social networks would predict a greater degree of sun safety across all behaviors. The postulated mediators were grounded in Bandura's Social Cognitive Theory,21 which reflects the reciprocal influence of personal factors and the sociocultural environment, and the mediated acculturation model summarized by Myers and Rodriguez.22

Methods

Data source

We analyzed cross-sectional data from the 2005 Health Information National Trends Survey (HINTS), developed and implemented by the National Cancer Institute. Data were collected via geographic stratification and list-assisted random-digit dialing from a probability-based sample of the U.S. civilian, non-institutionalized population. One adult was selected at random from each household and was given the option of responding in English or Spanish. Among the 5,586 individuals who completed the full interview, 496 answered affirmatively to the question, “Are you Hispanic or Latino?” and thus were eligible for this study. Details regarding the HINTS concept and implementation are published elsewhere..23, 24 The questionnaire is available at: http://hints.cancer.gov/instrument.jsp. The HINTS, which contains de-identified data, has been assigned exempt' status by the Institution Review Board of the National Cancer Institute and has received additional clearance from the U.S. Office of Management and Budget.

Measures

The main outcome, sun-safe practice, was assessed by 4 primary prevention behaviors. Respondents were told that the questions pertained to protection of the skin from the sun and were asked how often they used sunscreen, wore long-sleeved shirts and long pants, and stayed in the shade when outside for more than 1 hour on a warm, sunny day (1=always; 5=never). These questions were comparable to the standardized set of survey measures of sun protection habits and are considered applicable across different populations.25 The items were reverse-coded, thus higher scores reflected higher endorsement of the behaviors. The primary predictor, acculturation, was assessed with a 4-item index: interview language (ie, English or Spanish), perceived comfort with the English language (1=completely comfortable; 6=do not speak English), and two continuous measures applicable only to foreign-born respondents. Those measures included age at US arrival (calculated by subtracting the year of birth from the year of arrival), and duration of US residence (calculated by subtracting the year of arrival from the year of data collection, which was 2005). The acculturation index was obtained by computing the mean of all items that loaded on a single factor in exploratory factor analyses (mean = 0.15; Cronbach α = 0.75). This choice followed prior research, our hypotheses, and preliminary findings, as well as and the nature and limitations of the HINTS 2005 data.

Healthcare access was assessed with 2 questions, the first regarding availability of health insurance coverage (yes/no) and the second regarding frequency of health care professional services used in the past 12 months (excluding emergency department visits). Perceived physical health was assessed with one item (1=excellent to 5=poor) that was reverse-coded, meaning a higher score corresponded to stronger health. Educational level was also assessed with 1 item (1=never attended school to 11=professional/graduate degree). Six variables were available for the assessment of social networks. One captured the number of community organizations in which the participant has current membership (church, sports league, etc.) and another assessed whether any of these organizations provided health information (yes/no). We combined these two items into a single measure (0=no membership, 1=membership in a non-health-related organization, and 2=membership in a health-related organization). The next two questions assessed whether the participant had any family or friends with whom he or she talked regarding health matters (yes/no) and the frequency of talking with them. As before, we combined these 2 items (0=no family/friends; 3=have family/friends and talk to them very frequently). The next social networks item captured the number of neighbors on whom the participant could rely for healthcare transportation. The last item measured the frequency of attending general religious services (0=never; 4=every week).

Statistical analysis

We performed bivariate linear regression, and exploratory and confirmatory factor analyses with SAS statistical software version 9.1 (SAS Institute Inc., Cary, NC) to assess clustering within latent factors and to select the most reliable measures. Next we created a measurement model, specifying the relationships between the measured and the latent variables, and a structural model specifying the relationships among the latent factors.26 Because the HINTS data are cross-sectional, we made the explicit assumption that acculturation preceded each mediator, which preceded the outcome. The complete model included unidirectional paths from acculturation to each hypothesized mediator, unidirectional paths from each mediator to each sun-safe behavior, and correlations between each two mediators. Because of evidence that sex did not impact the relationship between acculturation and sun safe behaviors,,8 we did not model the effect of sex.

We used structural equation models (SEM) with standardized covariance matrices as input, the maximum likelihood function with robust estimation, and the Lagrange multiplier tests. The hypothesized mediators were entered simultaneously, in line with the theoretical rationale and hypotheses, recommendations from the methodologic literature,27 as well as to reduce the possibility of type I error.28 Model fit was evaluated with the X2 goodness-of-fit statistic, as well as the comparative fit index (CFI) and the root mean square error of approximation (RMSEA), both of which are robust to sample size biases.29 Conventionally, CFI ≥0.95 and RMSEA ≤0.06 signify appropriate fit.28, 30 All SEM analyses were performed with EQS, version 6.1 for Windows,31 and the provided P values are 2-sided. Because the primary interest in this study, which utilized 8.9% of the HINTS 2005 sample, was to establish mediated associations and not to make predictions or to obtain population estimates, we did not use sampling weights.

Results

The mean (SD) age of the participants in the sample was 41.3 years (15.5 years), 61.5% were women, approximately one-third (35.7%) were US born, and slightly more than half (54.6%) were interviewed in Spanish. The prevalence of the hypothesized mediators is summarized in the >Table. Exploratory factor analyses revealed that wearing long-sleeved shirts and long pants clustered into a single factor (sun-protective clothing; eigenvalue=1.56). Both items had factor loadings of greater than 0.78. Because use of shade and use of sunscreen did not show a clear factor pattern, these outcomes were assessed in separate models. The 2 health care access items (each factor loading = 0.86) clustered favorably into a single factor (eigenvalue=1.47). Finally, 2 indicators were selected for modeling social networks: membership in health-related/non-health-related organizations and availability and frequency of talking to family or friends about health matters (each factor loading=0.75; eigenvalue=1.12). Thus, two of the four hypothesized mediators (health status and educational level) were treated as measured variables and the other 2 (health care access and social networks) as latent factors. We first estimated bivariate linear regression models, each of which indicated the presence of significant correlation.

Table 1.

Prevalence of the hypothesized mediating variables among Latino respondents in HINTS 2005 (N=496)

n %
Healthcare access
Health insurance
 Yes 299 60.3
 No 196 39.5
 Other/missing  1  0.2
Healthcare utilization/past 12 months/non-ER
 None 132 26.6
 1 time 106 21.4
 2–4 times 144 29.0
 5+ times 112 22.6
 Missing 2 0.4
Social networks
Organization membership
 None 277 55.8
 Non-health organization 119 24.0
 Health organization 97 19.6
 Missing 3 0.6
Talk to family/friends about health
 None 112 22.6
 Have family/friends - do not talk frequently 141 28.4
 Have family/friends - talk somewhat frequently 133 26.8
 Have family/friends - talk frequently 109 22.0
 Missing 1 0.2
Education level
 Less than high school diploma 208 41.9
 High school graduate/GED 111 22.4
 Vocational/some college/Associate's degree 100 20.2
 Bachelor's degree or higher 75 75 15.1
 Other/missing 2 0.4
Perceived physical health status
 Excellent/very good 120 24.2
 Good 162 32.7
 Fair/poor 212 42.7
 Other/missing 2 0.4

HINTS, Health Information National Trends Survey

The standardized solutions (effect sizes) from the SEM analyses for use of sunscreen, shade, and sun-protective clothing are summarized in Figures 1, 2, and 3, respectively. In all three models, the direct path between acculturation and each mediator attained statistical significance and represented a positive association. In turn, increased contact with one's social network regarding health matters, higher educational level, and stronger perceived health were associated with increased sunscreen use (P<.05 for all) (Figure 1). The direct effect between acculturation and sunscreen use was nonsignificant, but the indirect effects of acculturation, educational level, perceived health status, and social networks on sunscreen use reached significance. The model had favorable statistical fit (χ2=12.93, p>0.16; CFI=0.993, RMSEA=0.030).

Figure 1.

Figure 1

Lines and curves indicate statistically significant standardized paths and correlations; relationships that did not reach statistical significance at p<0.05 are not shown.

Figure 2.

Figure 2

Lines and curves indicate statistically significant standardized paths and correlations; relationships that did not reach statistical significance at p<0.05 are not shown.

Figure 3.

Figure 3

Lines and curves indicate statistically significant standardized paths and correlations; relationships that did not reach statistical significance at p<0.05 are not shown.

Results for use of shade (Figure 2) were markedly different from those for sunscreen use. Specifically, the direct negative association between acculturation and use of shade was statistically significant, but neither the direct effects of the hypothesized mediators nor the indirect effect of acculturation on use of shade reached significance. The model had favorable statistical fit (CFI=0.998, RMSEA=0.017). Regarding the relationship between acculturation and use of sun-protective clothing (Figure 3), the results revealed a statistically significant mediated association with educational level (controlling for the other hypothesized mediators), such that higher educational level was linked to less use of protective clothing outdoors (P = .049). The direct negative association between acculturation and the outcome reached significance, indicating that the mediated effect was partial. The model fit was, again, favorable (χ2=22.63, p>0.09; CFI=0.988, RMSEA=0.033). Health care access did not display any mediated associations in any of the models.

Comment

Using a sample of US Latino adults, we observed that use of sunscreen, shade, and sun-protective clothing when outdoors on warm, sunny days, when modeled simultaneously, was associated with acculturation in distinctive ways. Specifically, perceived health status, educational level, and contact with social networks regarding health matters mediated the positive association between acculturation and sunscreen use, supporting our hypothesis. Social networks displayed the largest effect size, consistent with evidence that sunscreen use, skin self-examinations and those conducted by a physician or a nurse, and knowledge regarding skin cancer prevention cluster within peer groups.32 Furthermore, the negative association between acculturation and use of sun-protective clothing was mediated only by educational level, but use of shade did not display any mediated paths. The direct effect of acculturation attained significance for use of shade and sun-protective clothing but not for sunscreen. Hence, our findings indicate distinct and outcome-specific direct and indirect effects of acculturation among Latinos. Because most of the hypothesized mediators were supported primarily for sunscreen use, future research should test different constructs regarding the other sun-safe behaviors. For example, plausible mediators for use of shade or sun-protective clothing might include body image and social norms,33, 34 and such information was not available in the HINTS 2005 dataset.

This study augments knowledge pertaining to modification of different health and risk behaviors as a result of acculturation to the host society.9, 13 The observed negative association between acculturation and use of shade is consistent with findings that beach use (i.e., increased sun exposure) in California was higher among US-born Latinos whose primary language is English than among their Mexico-born counterparts whose primary language is Spanish, after controlling for socioeconomic status (SES).35 Furthermore, the links among acculturation, educational level and use of sun-protective clothing are somewhat in line with evidence of leisure-time behavior patterns among non-Latino whites.36 In particular, in adjusted models college, graduates were shown to be 63% more likely than those without a high school diploma to report sunburn during the previous year.36 Furthermore, clothing customs might be incorporated more quickly with increasing acculturation than less tangible qualities, such as values.37 This finding suggests that acculturation might lead to a relatively rapid adoption of US outdoor clothing practices and possibly increased sun exposure, which has the potential for a negative effect on the melanoma rates of Latinos.

Health care access was the only hypothesized mediator that did not display any mediated associations. Although consistent evidence exists that acculturation leads to increased health care access,9 its effects on engagement in health promoting behaviors are somewhat divergent and outcome-specific. Findings with non-Latino whites have shown that having a visited physician within the previous year and having health insurance coverage (i.e. the indicators used in the present study) were associated with a greater likelihood of reporting sunburn.11 Nevertheless, the odds ratios for use of sunscreen and for reporting having undergone a recent skin cancer examination conducted by a physician were increased among individuals (primarily non-Latino whites) who reported having recently undergone a general physical examination.10

A strength of the present study was the use of SEM procedures to test for mediation. Unlike traditional regression, SEM allows for the simultaneous assessment of observed and latent variables as well as direct and indirect effects of multiple mediators. It provides unbiased estimates by explicitly modeling measurement error.38 Additional advantages of SEM over the popular causal steps model created by Barron and Kenny39 are direct hypothesis tests for mediation and greater statistical power.40, 41 Another strength of the study was its reliance on the dynamic and culturally applicable framework offered by social cognitive theory,21 which emphasizes the importance of observing and modeling the behavior of others. We also used a model22 highlighting the indirect effects of acculturation on health, with many of the mediated paths not yet empirically examined.

Although many of the demographic characteristics of the sample paralleled those of the cohorts in nationally representative reports,13, 42 we acknowledge the inability to distinguish among Latino subgroups or among skin types. Skin color might be a confounding factor in acculturation (which could not be assessed with the HINTS data) because it might affect motivation or ability to acculturate due to perceived SES discrimination against dark-skinned individuals.43 Furthermore, because our data were cross-sectional, it is possible that educational attainment might proceed or cause acculturation if it had occurred before coming to the United States. Although our data were consistent with the hypothesized models, they should be reassessed longitudinally. We sought to support assumptions of causality (rather than to prove causality), to inform mediation analyses with cross-sectional and longitudinal data,38, 44 and to advance the theoretical and empirical rationale development.45

Many Latino men are employed in outdoor occupations with potentially increased sun exposure46 and many outdoor Latino workers exhibit low acculturation,47 with access to non-manual labor opportunities improving with acculturation.13, 48 The HINTS 2005 did not include occupational data, but the household income item had 37% missing responses. Because of a correlation between educational level and income among Latinos,14, 15 we believe that our findings were not seriously compromised by the inability to model SES covariates. Another limitation was the reliance on several single-item measures, which might have limited reliability. Finally, the HINTS 2005 data allowed for the assessment of acculturation only on a unidirectional scale, and in computing the acculturation index, the mean of all available variables for all available participants was used. For the foreign-born participants, the mean acculturation score included interview language, comfort level with the English language, duration of US residence, and age at US arrival; for their US-born counterparts, the corresponding score included language of interview and comfort level with the English level. Although language items generally explain much of the variance in acculturation scales,49, 50 future research should replicate these models with other acculturation measures.

In conclusion, sun safety practice is critical for the prevention of skin cancer regardless of skin type,51 but no ethnoracial group appears to meet current primary prevention recommendations.52, 53 A recent report revealed that between 1992–2004 melanoma incidence doubled across all SES strata, with the lowest SES groups exhibiting the highest increase and the sharpest rise in tumor thickness.54 Because the number Latinos have risen, and Latinos have disproportionate representation among low SES strata,42 and increased rates of advanced-stage melanoma at diagnosis,6, 7, 55 the public health effect of their skin cancer-related behaviors is likely to intensify, especially as this population continues to expand. Our results, denoting variability in the mediation mechanisms for different sun-safe behaviors, could guide primary prevention program development for Latinos and future public health research.

Acknowledgments

Funding/Support

V. A. Andreeva was supported by a doctoral dissertation fellowship at the Department of Preventive Medicine, Keck School of Medicine, University of Southern California. M. G. Cockburn was supported in part by the Centers for Disease Control and Prevention (grant U55/CCU921930-02), the National Institute of Environmental Health Sciences (grant 5P30 ES07048), and the National Cancer Institute (grant R01 CA121052). K. D. Reynolds was supported by the National Cancer Institute (grant CA100285). The sponsors had no role in the design and conduct of the study; in the collection, analysis, and interpretation of data; or in the preparation, review, or approval of the manuscript.

Footnotes

Authorship responsibility and contributions

Dr Andreeva had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analyses. Study concept and design: Andreeva, Reynolds. Acquisition of data: Yaroch. Analysis and interpretation of data: Andreeva, Reynolds, Cockburn, Unger, Yaroch, Rueda. Drafting of the manuscript: Andreeva. Critical revision of the manuscript for important intellectual content: Reynolds, Cockburn, Unger, Yaroch, Rueda. Statistical analysis: Andreeva. Obtained funding: Reynolds. Study supervision: Reynolds, Unger, Cockburn, Yaroch, Rueda.

Financial Disclosure/Conflict of Interest: None reported.

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