Methods: We analyzed survey data of 201 Karen refugees living in Buffalo. Health literacy was assessed using a modified version of the All Aspects of Health Literacy Scale (AAHLS; Chinn & McCarthy, 2013). We employed latent profile analysis (LPA) to identify profiles using three subscales from the AAHLS. Then, with the emerged profiles from LPA as an outcome variable, we conducted multinomial logistic regression to examine the association with sociodemographic characteristics. Sociodemographic variables included in the multinomial logistic regression were gender (0=male), age (in years), English language proficiency (1=poor to 4=excellent), self-rated health (1=excellent to 5=poor), marital status (0=single), religious participation (0=never to 6=Daily), and education (0=No college degree). All analyses were conducted using Mplus version 8.6 and SPSS version 28, respectively.
Results: Three profiles of Karen refugees emerged from the LPA including “resettling” (those who scored low in functional HL, high in communicative HL, and low in critical HL, 64.6 %), “acculturating” (those who scored average in functional HL, low in communicative HL, and average in critical HL, 19.0 %), and “integrated” (those who scored high in functional HL, average in communicative HL, and high in critical HL, 16.4 %). The results of multinomial logistic regression showed that, compared to “resettling” refugees, “integrated” refugees were more likely to be female (OR=4.131, CI=1.034-16.498), have higher English language proficiency (OR=6.963, CI=2.832-17.117), and poorer physical health (OR=1.997, CI=1.037-3.845). There were no statistically significant factors differentiating Karen refugees between resettling and acculturating refugee profiles.
Conclusions: Three emerged profiles showed unique patterns across functional, communicative, and critical subscales of HL that broadly resembled the characteristics of the acculturative stages, which prompted our naming convention for each profile (Resettling, acculturating, and integrated). The regression that followed further resulted in showing the consistent and expected association between profiles and selected sociodemographic variables. The findings from this study illustrate the need to pay attention to the individual’s acculturative level and use the information to figure out which HL-domain healthcare providers should selectively target for tailored educational efficiencies.