Prostate cancer (PrCA) is the most diagnosed cancer among men in the United States, especially among African American (AA) men. The purpose of this formative study was to explore the implications of applying Nutbeam's multidimensional health literacy framework to AA men's understanding of PrCA information. Participants were 25 AA men aged 45 and older in South Carolina. Their functional health literacy was assessed using two modified Cloze tests and the Shortened Test of Functional Health Literacy in Adults (S-TOFHLA). Men also participated in interviews or focus groups during which they were asked questions about PrCA risk, prevention, and screening. Transcripts were reviewed for recurrent themes and analyzed qualitatively using NVivo7. Mean S-TOFHLA was 28.28 (+/-1.98), implying "adequate" comprehension. Mean Cloze was .71 (+/-.05) for a Grade 8 document and .66 (+/-.04) for a Grade 13 document, also showing "adequate" comprehension. Cloze scores for the Grade 8 resource were lower for participants with less education (P = .047). Despite having satisfactory literacy test scores, results from interviews and focus groups revealed participants' limited understanding and misconceptions about PrCA risk. Many wanted information about screening and family history delivered word-of-mouth by AA women and church pastors as few of them had ever received or actively sought out PrCA resources. Using Nutbeam's framework, gaps in health literacy which were not adequately captured by the validated tools emerged during the interviews and focus groups. Study findings provide important implications for PrCA communication with AA men to correct misperceptions about cancer risk and motivate preventive behaviors.

BackgroundWearable activity monitors such as Fitbit enable users to track various attributes of their physical activity (PA) over time and have the potential to be used in research to promote and measure PA behavior. However, the measurement accuracy of Fitbit in absolute free-living conditions is largely unknown.ObjectiveTo examine the measurement congruence between Fitbit Flex and ActiGraph GT3X for quantifying steps, metabolic equivalent tasks (METs), and proportion of time in sedentary activity and light-, moderate-, and vigorous-intensity PA in healthy adults in free-living conditions.MethodsA convenience sample of 19 participants (4 men and 15 women), aged 18-37 years, concurrently wore the Fitbit Flex (wrist) and ActiGraph GT3X (waist) for 1- or 2-week observation periods (n=3 and n=16, respectively) that included self-reported bouts of daily exercise. Data were examined for daily activity, averaged over 14 days and for minutes of reported exercise. Average day-level data included steps, METs, and proportion of time in different intensity levels. Minute-level data included steps, METs, and mean intensity score (0 = sedentary, 3 = vigorous) for overall reported exercise bouts (N=120) and by exercise type (walking, n=16; run or sports, n=44; cardio machine, n=20).ResultsMeasures of steps were similar between devices for average day- and minute-level observations (all P values > .05). Fitbit significantly overestimated METs for average daily activity, for overall minutes of reported exercise bouts, and for walking and run or sports exercises (mean difference 0.70, 1.80, 3.16, and 2.00 METs, respectively; all P values < .001). For average daily activity, Fitbit significantly underestimated the proportion of time in sedentary and light intensity by 20% and 34%, respectively, and overestimated time by 3% in both moderate and vigorous intensity (all P values < .001). Mean intensity scores were not different for overall minutes of exercise or for run or sports and cardio-machine exercises (all P values > .05).ConclusionsFitbit Flex provides accurate measures of steps for daily activity and minutes of reported exercise, regardless of exercise type. Although the proportion of time in different intensity levels varied between devices, examining the mean intensity score for minute-level bouts across different exercise types enabled interdevice comparisons that revealed similar measures of exercise intensity. Fitbit Flex is shown to have measurement limitations that may affect its potential utility and validity for measuring PA attributes in free-living conditions.

Objective Internet-based physical activity (PA) interventions have shown promise, although findings remain equivocal. We used formative research to enhance a previously demonstrated program (Step into Motion) with the goal of developing an Internet program poised for dissemination. Methods We conducted focus groups to identify Internet features targeted to theoretical constructs (social cognitive theory) predictive of PA behavior and rated as “useful for increasing PA.” We identified 5 theory-targeted Internet features as useful for increasing PA: (1) a PA tracking/logging calendar targeting self-monitoring and goal setting; (2) geographic mapping tools targeting perceived environment; (3) a discussion forum targeting social support; (4) exercise videos targeting observational learning; and (5) regular updates of peer PA progress targeting situation. We then tested the efficacy of the enhanced program (enhanced Internet, EI; N = 25) in relation to publicly available PA Websites (standard Internet, SI; N = 28) among 53 participants in a randomized controlled trial. Results The EI arm increased PA in relation to the SI arm at 3 months (18.4 to 186.0 min/wk vs. 20.9 to 57.3 min/wk; p = .03) but between-groups differences were not observed at 6 months (176.8 vs. 133.5 min/wk; p = .44). EI participants maintained PA from 3 to 6 months (186.0 to 176.8 min/wk), and the SI group increased PA (57.3 to 133.5 min/wk). Conclusion The EI program was efficacious at improving PA levels in relation to publicly available Websites initially, but differences in PA levels were not maintained at 6 months. Future research should identify Internet features that promote long-term maintenance.

Direct and timely messages about PrCA should be developed for AA men.

The present study aimed to examine and compare results from two questionnaire pretesting methods (i.e., behavioral coding and cognitive interviewing) in order to assess systematic measurement bias in survey questions for adult smokers across six countries (USA, Australia, Uruguay, Mexico, Malaysia and Thailand). Protocol development and translation involved multiple bilingual partners in each linguistic/cultural group. The study was conducted with convenience samples of 20 adult smokers in each country. Behavioral coding and cognitive interviewing methods produced similar conclusions regarding measurement bias for some questions; however, cognitive interviewing was more likely to identify potential response errors than behavioral coding. Coordinated survey qualitative pretesting (or post-survey evaluation) is feasible across cultural groups, and can provide important information on comprehension and comparability. Cognitive interviewing appears a more robust technique than behavioral coding, although combinations of the two might be even better.