Understanding Self-regulation Behaviors in South Asians With Coronary Artery Disease: A Mixed-Methods Study.

BACKGROUND: South Asians (SAs) have a well-documented risk for mortality related to coronary artery disease (CAD). However, there is a lack of evidence to guide the implementation and dissemination of primary and secondary interventions to control and deter progression of CAD in SAs. OBJECTIVE: The aim of this study is to explore and describe self-regulation behaviors in SAs with CAD using Leventhal's Common Sense Model. METHODS: In this mixed-methods study, quantitative data were collected using 3 survey questionnaires (demographics, Illness Perception Questionnaire-Revised, and Coping/Self-Regulation Behaviors). Before completing the surveys, a subset of the sample (n = 20) participated in individual face-to-face or telephone interviews. RESULTS: A total of 102 SAs were enrolled (age, 53.5 ± 9.98 years). On average, participants rated themselves high (63 ± 3.06) on negative perceptions. In addition, they discussed desi diet, stress, a lack of physical activity, ignoring symptoms, and kismet (fate) as the most important perceived causes of their CAD. Most of the participants modified their lifestyle after their CAD event. Participants expressed regret for not having changed their lifestyle earlier when they were experiencing early symptoms of their CAD. CONCLUSION: Findings from this study enhance the understanding of self-regulation behaviors of SAs with CAD. Ultimately, these findings will inform the development and implementation of targeted interventions that address culture-specific lifestyle modification for SAs with CAD.

Exploring illness perceptions of multimorbidity among community-dwelling older adults: a mixed methods study.

Background: Illness perceptions are individual beliefs or experiences about the nature and treatment of their illness. Although extensive research exists about illness perceptions, little is known about illness perceptions of multimorbidity. Methods: The purpose of this parallel-convergent mixed-methods study was to comprehensively explore illness perception of multimorbidity among community dwelling older adults. Data was collected using one-on-one semi-structured interviews (n=17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (n=116). Qualitative data were analyzed using content analysis while quantitative data were analyzed with descriptive and inferential statistics. Both qualitative and quantitative findings were integrated to identify differences in illness perceptions of multimorbidity by participant's socio-demographic and illness-related characteristics. Results: Overall, participants were mostly female (71%), self-reported as Hispanic (35%), Black (33%), White (27%), or Asian (5%). From the content analysis of the qualitative data, we described three themes pertaining to Illness perception of multimorbidity which were influenced by both participants' socio-demographic and illness-related characteristics: (1) inter-relationships between conditions (2) consequences and priorities and (3) impact of multimorbidity on wellbeing. While inferential analysis of quantitative data indicated statistically significant differences across only socio-demographic characteristics such as race/ethnicity (causal links, prioritization, summary scale) and educational attainment (prioritization subscale). Mixed analysis of qualitative and quantitative findings confirmed that illness perception of multimorbidity may not differ by the number of chronic conditions. Conclusions: Illness perception of multimorbidity may not differ by the number of chronic conditions the participants had. Rather, participants prioritized the impact of multimorbidity on their overall wellbeing, placing less importance on the number of their chronic conditions. Additional studies are needed to further characterize illness perceptions of multimorbidity and develop interventions that extend beyond disease-focused interventions to address holistic needs of older adults with multimorbidity.