Aim

The purpose of the study was to explore the perceived risk for diabetes and heart attack and associated health status of Caucasian, Filipino, Korean, and Latino Americans without diabetes.

Methods

A cross-sectional survey was conducted with 904 urban adults (mean age 44.3±16.1 years; 64.3% female) in English, Spanish or Korean between August and December 2013.

Results

Perceived risk for developing diabetes was indicated by 46.5% (n=421), and 14.3% (n=129) perceived themselves to be at risk for having a heart attack in their lifetime. Significant predictors of pessimistic diabetes risk perceptions: Filipino (adjusted odds ratio [AOR]=1.7; 95% CI: 1.04-2.86) and Korean (AOR=2.4; 1.33-4.48) ethnicity, family history of diabetes (AOR=1.4; 1.00-1.84), female gender (AOR=1.4; 1.04-1.96), high cholesterol (AOR= 1.6; 1.09-2.37) and higher body mass index (BMI) (AOR=1.1; 1.08-1.15). Predictors of pessimistic heart attack risk perceptions were family history of an early heart attack (AOR=2.9; 1.69-5.02), high blood pressure (AOR=2.4; 1.45-3.84), and higher BMI (AOR=1.1; 1.04-1.12) after controlling for socio-demographic factors. Older age, physical inactivity, smoking, and low HDL levels were not associated with risk perceptions.

Conclusion

Multiple risk factors were predictive of greater perceived diabetes risk, whereas, only family history of heart attack, high blood pressure and increases in BMI significantly contributed to perceived risk of heart attack among ethnically diverse at risk middle-aged adults. It is important that healthcare providers address the discordance between an individual's risk perceptions and the presence of actual risk factors.

Purpose

The purpose of this study was to explore gender differences in lay knowledge of type 2 diabetes symptoms among community-dwelling Caucasian, Latino, Filipino, and Korean Americans.

Design and methods

A cross-sectional survey was administered to a convenience sample of 904 adults (172 Caucasians, 248 Latinos, 234 Koreans, and 250 Filipinos) without diabetes at community events, community clinics, churches, and online in the San Francisco Bay Area and San Diego from August to December 2013. Participants were asked to describe in their own words signs and/or symptoms of diabetes. A multiple logistic regression analysis was performed to examine the association of lay symptom knowledge with gender after controlling for potential confounding factors.

Results

Overall, the average age of the sample populations was 44 (SD ±16.1) years, 36% were male, and 58% were married. Increased thirst/dry mouth following increased urinary frequency/color/odor and increased fatigue/lethargy/low energy were the most frequently reported signs and symptoms (19.8%, 15.4%, and 13.6%, respectively). After controlling for known confounding factors, women were 1.6 (95% confidence interval, 1.2-2.3, P = .004) times more likely than men to report at least 1 diabetes symptom. However, this gender difference in knowledge of diabetes signs and symptoms did not significantly differ across Caucasians, Latinos, Filipinos, and Korean Americans (P = .87).

Conclusion

The findings underscore the importance of improving public knowledge and awareness of signs and symptoms of diabetes, particularly in men.

Background

Interventions using mobile health (mHealth) apps have been effective in promoting healthy lifestyle behavior change and hold promise in improving health outcomes to thereby reduce health disparities among diverse racial/ethnic populations, particularly Latino and Asian American subgroups (Filipinos and Koreans) at high risk for diabetes and cardiovascular disease. Latinos and Asian Americans are avid digital technology owners and users. However, limited datasets exist regarding digital technology ownership and use, especially among specific racial/ethnic subgroups. Such information is needed to inform development of culturally tailored mHealth tools for use with lifestyle interventions promoting healthy behaviors for these at-risk racial/ethnic populations.

Objective

The intent of the study was to examine (1) digital technology ownership and usage, and (2) factors predicting downloading health apps for Caucasian, Filipino, Korean, and Latino American subgroups.

Methods

A cross-sectional survey conducted in August 2013 through December 2013 recruited 904 participants (Caucasians n=172, Filipinos n=250, Koreans n=234, and Latinos n=248), age >18 years, from California community events, clinics, churches, and online. English, Spanish, and Korean surveys were administered via paper or online. Descriptive statistics characterized the sociodemographics and digital technology ownership/usage of the 904 participants. Differences among groups in categorical variables were examined using chi-square statistics. Logistic regression was used to determine factors predicting downloading health apps.

Results

Overall, mean age was 44 years (SD 16.1), with 64.3% (581/904) female. Only 44.7% (404/904) of all participants reported English as their primary language (Caucasian 98.3%, 169/172; Filipino 67.6%, 169/250; Korean 9.4%, 22/234, and Latino 17.7%, 44/248. Overall, mobile phone ownership was 92.8% (839/904). Compared to all groups, Koreans were more likely to own a mobile phone (82.8%, 194/234), computer (91.4%, 214/234), or tablet (55.2%, 129/234), whereas Latinos (67.5%, 167/248; 65.3%, 162/248; 24.4%, 61/248, respectively) were least likely. Internet access via mobile phones (90.5%, 818/904) was higher than computers (78.6%, 711/904). Odds of downloading health apps increased with college (OR 2.62, 95% CI 1.44-4.80) or graduate school (OR 2.93, 95% CI 1.43-6.00) compared to some high school; and family history of heart attack (OR 2.02, 95% CI 1.16-3.51). Odds of downloading health apps were reduced with: race/ethnicity, Latino (OR 0.37, 95% CI 0.20-0.69), and Korean (OR 0.52, 95% CI 0.31-0.88) compared to Caucasians; increasing age (OR 0.96, 95% CI 0.95-0.97); and completing paper surveys (OR 0.50, 95% CI 0.34-0.75).

Conclusions

This survey study uniquely targeted specific racial/ethnic subgroups. Results indicated that despite a narrowing racial/ethnic "digital divide", some disparities still exist, particularly among racial/ethnic groups with less education and whose primary language is not English. Findings will be used to inform development and evaluation of culturally tailored mHealth apps for use with interventions promoting healthy behavior change for Filipinos, Koreans, and Latinos.