Danielle E. Schoffman

Psychometric Properties of the 8-Item English Arthritis Self-Efficacy Scale in a Diverse Sample

Arthritis self-efficacy is important for successful disease management. This study examined psychometric properties of the 8-item English version of the Arthritis Self-Efficacy Scale (ASES-8) and differences in ASES-8 scores across sample subgroups. In 401 participants with self-reported doctor-diagnosed arthritis, exploratory factor analysis and tests of internal consistency were conducted. Concurrent validity was examined by associating ASES-8 scores with disease-specific, psychosocial, functional, and behavioral measures expected to be related to arthritis self-efficacy. All analyses were conducted for the full sample and within subgroups (gender, race, age, education, and weight status). Exploratory factor analysis for the entire sample and in all 12 subgroups demonstrated a one factor solution (factor loadings: 0.61 to 0.89). Internal consistency was high for measures of Cronbachs alpha (0.87 to 0.94), omega (0.87 to 0.93), and greatest lower bound (0.90 to 0.95). ASES-8 scores were significantly correlated with all measures assessed (P < 0.05), demonstrating concurrent validity. Those with a high school education or greater had higher ASES-8 scores than those with less than a high school education (P < .001); no other subgroup differences were found. The ASES-8 is a valid and reliable tool to measure arthritis self-efficacy efficiently and thereby reduce participant burden in research studies.

Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies

Both mobile apps and responsive-design websites (web apps) can be used to deliver mobile health (mHealth) interventions, but it can be difficult to discern which to use in research. The goal of this paper is to present four case studies from behavioral interventions that developed either a mobile app or a web app for research and present an information table to help researchers determine which mobile option would work best for them. Four behavioral intervention case studies (two developed a mobile app, and two developed a web app) presented include time, cost, and expertise. Considerations for adopting a mobile app or a web app—such as time, cost, access to programmers, data collection, security needs, and intervention components— are presented. Future studies will likely integrate both mobile app and web app modalities. The considerations presented here can help guide researchers on which platforms to choose prior to starting an mHealth intervention.

Association of body mass index with physical function and health-related quality of life in adults with arthritis.

Arthritis and obesity, both highly prevalent, contribute greatly to the burden of disability in US adults. We examined whether body mass index (BMI) was associated with physical function and health-related quality of life (HRQOL) measures among adults with arthritis and other rheumatic conditions. We assessed objectively measured BMI and physical functioning (six-minute walk, chair stand, seated reach, walking velocity, hand grip) and self-reported HRQOL (depression, stiffness, pain, fatigue, disability, quality of life-mental, and quality of life, physical) were assessed. Self-reported age, gender, race, physical activity, and arthritis medication use (covariates) were also assessed. Unadjusted and adjusted linear regression models examined the association between BMI and objective measures of functioning and self-reported measures of HRQOL. BMI was significantly associated with all functional (Ps ≤ 0.007) and HRQOL measures (Ps ≤ 0.03) in the unadjusted models. Associations between BMI and all functional measures (Ps ≤ 0.001) and most HRQOL measures remained significant in the adjusted models (Ps ≤ 0.05); depression and quality of life, physical, were not significant. The present analysis of a range of HRQOL and objective measures of physical function demonstrates the debilitating effects of the combination of overweight and arthritis and other rheumatic conditions. Future research should focus on developing effective group and self-management programs for weight loss for people with arthritis and other rheumatic conditions (registered on clinicaltrials.gov: NCT01172327).

Neighborhood Attributes Associated With the Social Environment.

Purpose. To examine the association between specific attributes of neighborhood environments and four social environment measures. Design. Data were collected as part of a baseline survey among participants enrolling in a walking intervention. Setting. Participants were recruited from a metropolitan area in a Southeastern state. Subjects. Participants (n = 294) were predominantly African-American (67%) and female (86%), with some college education (79%) and a mean age of 49. Measures. The International Physical Activity Questionnaire Environment Module assessed perceptions about neighborhood attributes. The social environment was assessed using three distinct scales: social cohesion, social interactions with neighbors, and social support for physical activity from family and friends. Analysis. Multiple regression models examined associations between neighborhood attributes and social environment measures, adjusting for demographic variables. Results. Having walkable destinations and having access to amenities and transit stops were associated with increased interactions with neighbors (b = 1.32, 1.04, and 1.68, respectively, p < .05). Attributes related to structural support for physical activity (sidewalks, street connectivity, recreation facilities) were associated with increased interactions with neighbors (b = 1.47, 1.34, and 1.13, respectively, p < .05). Bicycling facilities that were maintained (i.e., bike lanes, racks) were associated with social support for physical activity from family and friends (b = .43 and .30, respectively, p < .05). Conclusion. The study highlights key attributes of neighborhood environments that may be associated with the social context of such settings.

The Fast-Casual Conundrum: Fast-Casual Restaurant Entrées Are Higher in Calories than Fast Food

BACKGROUND Frequently eating fast food has been associated with consuming a diet high in calories, and there is a public perception that fast-casual restaurants (eg, Chipotle) are healthier than traditional fast food (eg, McDonalds). However, research has not examined whether fast-food entrées and fast-casual entrées differ in calorie content. OBJECTIVE The purpose of this study was to determine whether the caloric content of entrées at fast-food restaurants differed from that found at fast-casual restaurants. DESIGN This study was a cross-sectional analysis of secondary data. Calorie information from 2014 for lunch and dinner entrées for fast-food and fast-casual restaurants was downloaded from the MenuStat database. OUTCOME MEASURES Mean calories per entrée between fast-food restaurants and fast-casual restaurants and the proportion of restaurant entrées that fell into different calorie ranges were assessed. STATISTICAL ANALYSES PERFORMED A t test was conducted to test the hypothesis that there was no difference between the average calories per entrée at fast-food and fast-casual restaurants. To examine the difference in distribution of entrées in different calorie ranges between fast-food and fast-casual restaurants, χ(2) tests were used. RESULTS There were 34 fast-food and 28 fast-casual restaurants included in the analysis (n=3,193 entrées). Fast-casual entrées had significantly more calories per entrée (760±301 kcal) than fast-food entrées (561±268; P<0.0001). A greater proportion of fast-casual entrées compared with fast-food entrées exceeded the median of 640 kcal per entrée (P<0.0001). CONCLUSIONS Although fast-casual entrées contained more calories than fast-food entrées in the study sample, future studies should compare actual purchasing patterns from these restaurants to determine whether the energy content or nutrient density of full meals (ie, entrées with sides and drinks) differs between fast-casual restaurants and fast-food restaurants. Calorie-conscious consumers should consider the calorie content of entrée items before purchase, regardless of restaurant type.

Longitudinal associations with changes in outdoor recreation area use for physical activity during a community-based intervention.

Outdoor recreation areas (ORA) are important resources for physical activity (PA) and health promotion. While past research has identified correlates of ORA use, few studies have examined predictors of longitudinal changes in park- and trail-based PA in community settings. Using data from a 6-month community-based walking intervention study, we examined cross-sectional and longitudinal predictors of PA in ORAs. Data were collected from baseline and 6-month assessments from participants (n=295) in a group walking intervention in South Carolina; participants enrolled from January 2012-May 2013. A decomposition scheme was used to examine the cross-sectional and longitudinal predictors of average group ORA use for PA, including social support, self-efficacy for PA, perceptions of neighborhood environment, and accelerometer-based PA, adjusting for gender. On average, participants were 49.4+13.3years old, 66.1% were Black, and the majority were women. There was a mean increase in group ORA use of 2.1+0.4days/month from baseline to 6months. Cross-sectionally, higher levels of the percentage of time in MVPA, self-efficacy, and social support were associated with greater group-average ORA use. Longitudinally, increased social support from friends and rating of lighter motorized traffic were associated with increased group ORA use. Additionally, longitudinal increases in percentage of MVPA and more favorable rating of the neighborhood as a place to walk were both associated with decreased group ORA use. Better understanding how social and physical environmental characteristics impact ORA use for PA can lead to more effective intervention strategies and warrants greater attention in future research and public health promotion efforts.

Baseline predictors of physical activity in a sample of adults with arthritis participating in a self-directed exercise program.

OBJECTIVES To examine baseline predictors of moderate-to-vigorous intensity physical activity (MVPA) at the 12-week follow-up in a sample of adults with arthritis participating in a self-directed, multicomponent exercise program. STUDY DESIGN Pretest-posttest. Analyses were limited to those randomized to the exercise intervention. METHODS Participants (n = 152) completed a survey assessing demographic, health-related, and arthritis-related factors, and completed anthropometric and functional measurements at baseline. Self-reported MVPA was assessed at baseline and 12 weeks. Participants were classified as engaging in ≥2.5 or <2.5 h/week of MVPA at the 12-week follow-up. Baseline demographic, health-related, arthritis-related, and functional factors were examined as predictors of engaging in ≥2.5 h of MVPA. RESULTS At the 12-week follow-up, 66.5% (n = 101) of participants engaged in ≥2.5 h/week of MVPA. Those with a higher body mass index, more days with poor physical health, a greater number of health conditions, self-reported hypertension, self-reported high cholesterol, and greater pain and stiffness were less likely to engage in ≥2.5 h of MVPA at the 12-week follow-up; those with greater arthritis self-efficacy and better performance on the 6 minute walk test were more likely. None of the other factors examined were associated with MVPA. CONCLUSIONS This study uncovered health-related, arthritis-related, and functional factors associated with MVPA that may help guide intervention strategies. Participants with less severe symptoms, better functional performance and fewer comorbidities at baseline were more likely to achieve the recommended MVPA level at 12 weeks; therefore self-directed PA interventions may be best suited for those with relatively good health status despite arthritis, while those with worse symptoms and health status may benefit more from other intervention delivery modalities such as structured, individualized programs where additional support for managing arthritis symptoms and comorbidity can be addressed.