Developing international open science collaborations: Funder reflections on the Open Science Prize.

The Open Science Prize was established with the following objectives: first, to encourage the crowdsourcing of open data to make breakthroughs that are of biomedical significance; second, to illustrate that funders can indeed work together when scientific interests are aligned; and finally, to encourage international collaboration between investigators with the intent of achieving important innovations that would not be possible otherwise. The process for running the competition and the successes and challenges that arose are presented.

Willingness to Exchange Health Information via Mobile Devices: Findings From a Population-Based Survey.

PURPOSE: The rapid proliferation of mobile devices offers unprecedented opportunities for patients and health care professionals to exchange health information electronically, but little is known about patients' willingness to exchange various types of health information using these devices. We examined willingness to exchange different types of health information via mobile devices, and assessed whether sociodemographic characteristics and trust in clinicians were associated with willingness in a nationally representative sample. METHODS: We analyzed data for 3,165 patients captured in the 2013 Health Information National Trends Survey. Multinomial logistic regression analysis was conducted to test differences in willingness. Ordinal logistic regression analysis assessed correlates of willingness to exchange 9 types of information separately. RESULTS: Participants were very willing to exchange appointment reminders (odds ratio [OR] = 6.66; 95% CI, 5.68-7.81), general health tips (OR = 2.03; 95% CI, 1.74-2.38), medication reminders (OR = 2.73; 95% CI, 2.35-3.19), laboratory/test results (OR = 1.76; 95% CI, 1.62-1.92), vital signs (OR = 1.63; 95% CI, 1.48-1.80), lifestyle behaviors (OR = 1.40; 95% CI, 1.24-1.58), and symptoms (OR = 1.62; 95% CI, 1.46-1.79) as compared with diagnostic information. Older adults had lower odds of being more willing to exchange any type of information. Education, income, and trust in health care professional information correlated with willingness to exchange certain types of information. CONCLUSIONS: Respondents were less willing to exchange via mobile devices information that may be considered sensitive or complex. Age, socioeconomic factors, and trust in professional information were associated with willingness to engage in mobile health information exchange. Both information type and demographic group should be considered when developing and tailoring mobile technologies for patient-clinician communication.

Mining Health App Data to Find More and Less Successful Weight Loss Subgroups.

BACKGROUND: More than half of all smartphone app downloads involve weight, diet, and exercise. If successful, these lifestyle apps may have far-reaching effects for disease prevention and health cost-savings, but few researchers have analyzed data from these apps. OBJECTIVE: The purposes of this study were to analyze data from a commercial health app (Lose It!) in order to identify successful weight loss subgroups via exploratory analyses and to verify the stability of the results. METHODS: Cross-sectional, de-identified data from Lose It! were analyzed. This dataset (n=12,427,196) was randomly split into 24 subsamples, and this study used 3 subsamples (combined n=972,687). Classification and regression tree methods were used to explore groupings of weight loss with one subsample, with descriptive analyses to examine other group characteristics. Data mining validation methods were conducted with 2 additional subsamples. RESULTS: In subsample 1, 14.96% of users lost 5% or more of their starting body weight. Classification and regression tree analysis identified 3 distinct subgroups: "the occasional users" had the lowest proportion (4.87%) of individuals who successfully lost weight; "the basic users" had 37.61% weight loss success; and "the power users" achieved the highest percentage of weight loss success at 72.70%. Behavioral factors delineated the subgroups, though app-related behavioral characteristics further distinguished them. Results were replicated in further analyses with separate subsamples. CONCLUSIONS: This study demonstrates that distinct subgroups can be identified in "messy" commercial app data and the identified subgroups can be replicated in independent samples. Behavioral factors and use of custom app features characterized the subgroups. Targeting and tailoring information to particular subgroups could enhance weight loss success. Future studies should replicate data mining analyses to increase methodology rigor.

Consumer Attitudes and Perceptions on mHealth Privacy and Security: Findings From a Mixed-Methods Study.

This study examined consumers' attitudes and perceptions regarding mobile health (mHealth) technology use in health care. Twenty-four focus groups with 256 participants were conducted in 5 geographically diverse locations. Participants were also diverse in age, education, race/ethnicity, gender, and rural versus urban settings. Several key themes emerged from the focus groups. Findings suggest that consumer attitudes regarding mHealth privacy/security are highly contextualized, with concerns depending on the type of information being communicated, where and when the information is being accessed, who is accessing or seeing the information, and for what reasons. Consumers frequently considered the tradeoffs between the privacy/security of using mHealth technologies and the potential benefits. Having control over mHealth privacy/security features and trust in providers were important issues for consumers. Overall, this study found significant diversity in attitudes regarding mHealth privacy/security both within and between traditional demographic groups. Thus, to address consumers' concerns regarding mHealth privacy and security, a one-size-fits-all approach may not be adequate. Health care providers and technology developers should consider tailoring mHealth technology according to how various types of information are communicated in the health care setting, as well as according to the comfort, skills, and concerns individuals may have with mHealth technology.

The promise of intensive longitudinal data capture for behavioral health research.

Advances in technology and the associated cultural norms, especially the advent of the smartphone, offer an unprecedented opportunity to collect data on relevant health behaviors and experiences unobtrusively at a greater frequency and in greater volumes than ever before. This special issue will acquaint the readership of Nicotine and Tobacco Research with the potential for intensive longitudinal data and will illustrate some innovative analytic techniques for addressing research questions associated with this type of complex data. This introductory article will provide a brief history of the analytic techniques for intensive longitudinal data and will point to some resources that support and enable the use of these techniques.

The association of state law to physical education time allocation in US public schools.

OBJECTIVES: We examined whether public schools in states with specific and stringent physical education (PE) laws, as assessed by the Physical Education-Related State Policy Classification System (PERSPCS), available on the Classification of Laws Associated with School Students (C.L.A.S.S.) Web site, reported more weekly PE time in the most recent School Health Policies and Programs Survey (SHPPS). METHODS: Schools (n=410) were grouped by their state's PERSPCS time requirement scores (none, nonspecific requirement, or specific requirement). Average weekly school-level PE was calculated using the SHPPS-reported PE minutes. Weighted analyses determined if PE minutes/week differed by PERSPCS group. RESULTS: Schools in states with specific requirement laws averaged over 27 and 60 more PE minutes/week at the elementary and middle school levels, respectively, compared with schools within states with nonspecific laws and over 40 and 60 more PE minutes per week, respectively, compared with elementary and middle schools in states with no laws. High school results were nonsignificant. CONCLUSIONS: Public health guidelines recommend at least 60 minutes of daily physical activity for children, and PE may further this goal. Strong codified law with specific time requirements for PE may be an important tool contributing toward adequate PE time and daily physical activity recommendations.

Advancing the science of mHealth.

Mobile health (mHealth) technologies have the potential to greatly impact health research, health care, and health outcomes, but the exponential growth of the technology has outpaced the science. This article outlines two initiatives designed to enhance the science of mHealth. The mHealth Evidence Workshop used an expert panel to identify optimal methodological approaches for mHealth research. The NIH mHealth Training Institutes address the silos among the many academic and technology areas in mHealth research and is an effort to build the interdisciplinary research capacity of the field. Both address the growing need for high quality mobile health research both in the United States and internationally. mHealth requires a solid, interdisciplinary scientific approach that pairs the rapid change associated with technological progress with a rigorous evaluation approach. The mHealth Evidence Workshop and the NIH mHealth Training Institutes were both designed to address and further develop this scientific approach to mHealth.

Association between self-reported household practices and body mass index of US children and adolescents, 2005.

INTRODUCTION: Parents can set household practices that influence children's behaviors. The objective of this study was to determine whether children (children and adolescents aged 9-18 y) who live in a household that has healthful practices related to behaviors associated with obesity have a lower body mass index (BMI). METHODS: We analyzed data from the 2005 Styles mail panel survey (N = 1,685 parents and children). We used multiple logistic regression to assess associations between 4 household practices and 3 children's behaviors: watching television, participating in vigorous physical activity, and purchasing sodas and snacks at school. RESULTS: Children watched more television if they had a television in their bedrooms, were less active as a family, and had no junk food restrictions at home. Children in less active families participated in about half as much VPA as children in more active families. Children purchased more sodas and snacks at school if they had a television in their bedrooms and their family consumed more meals at fast-food restaurants. Children whose families were less active were more likely to have a self-reported BMI at or above the 85th percentile. In addition, children who watched more television were more likely to have a self-reported BMI at or above the 85th percentile. CONCLUSION: Household practices were associated with children's behaviors and self-reported BMI. A household profile that includes being active as a family may counteract the increase in childhood obesity.

Objective burden, resources, and other stressors among informal cancer caregivers: a hidden quality issue?

UNLABELLED: A great deal of clinical cancer care is delivered in the home by informal caregivers (e.g. family, friends), who are often untrained. Caregivers' context varies widely, with many providing care despite low levels of resources and high levels of additional demands. BACKGROUND: Changes in health care have shifted much cancer care to the home, with limited data to inform this transition. We studied the characteristics, care tasks, and needs of informal caregivers of cancer patients. METHODS: Caregivers of seven geographically and institutionally defined cohorts of newly diagnosed colorectal and lung cancer patients completed self-administered questionnaires (n = 677). We combined this information with patient survey and chart abstraction data and focused on caregivers who reported providing, unpaid, at least 50% of the patient's informal cancer care. RESULTS: Over half of caregivers (55%) cared for a patient with metastatic disease, severe comorbidity, or undergoing current treatment. Besides assisting with activities of daily living, caregivers provided cancer-specific care such as watching for treatment side effects (68%), helping manage pain, nausea or fatigue (47%), administering medicine (34%), deciding whether to call a doctor (30%), deciding whether medicine was needed (29%), and changing bandages (19%). However, half of caregivers reported not getting training perceived as necessary. In addition, 49% of caregivers worked for pay, 21% reported poor or fair health, and 21% provided unpaid care for other individuals. One in four reported low confidence in the quality of the care they provided. CONCLUSIONS: Much assistance for cancer patients is delivered in the home by informal caregivers, often without desired training, with a significant minority having limited resources and high additional demands. Future research should explore the potentially high yield of addressing caregiver needs in improving quality of cancer care and both survivors' and caregivers' outcomes.

Identifying combinations of risk and protective factors predicting physical activity change in high school students.

Research sought to identify combinations of risk and protective factors predicting change in physical activity (PA) over one year in high school students. Adolescents (N = 344; M = 15.7 years) participated in a longitudinal study with assessment of demographics, substance use/smoking exposure, height and weight, psychological factors, and PA in 10th and 11th grade. PA participation in 11th grade was greatest for adolescents who engaged in PA and had high sports competence (78%), and least for adolescents who did not engage in or enjoy PA (13%) in 10th grade. Identifying adolescent subgroups at risk for decreasing PA can inform the development of tailored interventions.

Economic burden for informal caregivers of lung and colorectal cancer patients.

BACKGROUND: Informal care provides many benefits to cancer patients, but can be costly to caregivers. This study quantified the economic burden for informal caregivers of lung cancer (LC) and colorectal cancer (CRC) patients, examining differences by cancer type, phase of disease, stage at diagnosis, patient age, and relationship. METHODS: A cross-sectional survey of caregivers of LC and CRC patients participating in the Share Thoughts on Care survey was conducted. Economic burden was calculated using the opportunity cost of caregiver time, the value of work hours lost, and out-of-pocket expenditures. Factors associated with economic burden to caregivers were modeled using fixed-effects generalized least squares estimation. RESULTS: Informal caregivers (1,629) completed mailed surveys. Of these, 663, 822, and 144 were surveyed during the patient's initial phase (first year after diagnosis, not within 6 months of death), continuing phase (after 1 year, not within 6 months of death), and terminal phase (within 6 months of death) of disease, respectively. The accumulated economic burdens for caregivers were $7,028, $19,701, and $14,234 for those evaluated during the patient's initial phase, continuing phase, and terminal phase of disease, respectively. Economic burden was higher for caregivers of LC patients than CRC patients (p = .044) and for caregivers of patients diagnosed at stage 4 versus stage 1 (p = .001). Spouses faced higher economic burden than other relatives (p = .000) or friends (p = .000). CONCLUSIONS: Economic burden for informal caregivers of LC and CRC patients is substantial and should be included in estimates of the societal cost of cancer care.

Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+ years: a pilot study.

BACKGROUND: National recommendations supporting the promotion of multiple short (10+ minute) physical activity bouts each day to increase overall physical activity levels in middle-aged and older adults underscore the need to identify antecedents and correlates of such daily physical activity episodes. PURPOSE: This pilot study used Ecological Momentary Assessment to examine the time-lagged and concurrent effects of empirically supported social, cognitive, affective, and physiological factors on physical activity among adults age 50+ years. METHODS: Participants (N = 23) responded to diary prompts on a handheld computer four times per day across a 2-week period. Moderate-to-vigorous physical activity (MVPA), self-efficacy, positive and negative affect, control, demand, fatigue, energy, social interactions, and stressful events were assessed during each sequence. RESULTS: Multivariate results showed that greater self-efficacy and control predicted greater MVPA at each subsequent assessment throughout the day (p < 0.05). Also, having a positive social interaction was concurrently related to higher levels of MVPA (p = 0.052). CONCLUSION: Time-varying multidimensional individual processes predict within daily physical activity levels.

Factors influencing lunchtime food choices among working Americans.

There is growing interest in the usefulness of the workplace as a site for promotion of healthful food choices. The authors therefore analyzed data of U.S. adults (N = 1,918) who reported working outside the home and eating lunch. The majority (84.0%) of workers had a break room. About one half (54.0%) purchased lunch > or = 2 times/week, with higher percentages for males, Blacks, younger (age 18-34 years) versus older adults (age 55 years or older), and obese versus normal-weight persons. The most important lunch food choice value was convenience (34.3%), followed by taste (27.8%), cost (20.8%), and health (17.1%). The typical source for purchasing lunch was a fast-food restaurant (43.4%), followed by on-site cafeteria/snack shop (25.3%), full-service restaurant (16.9%), supermarket (5.2%), vending machine (4.4%), and convenience store (4.0%); younger adults and those less educated relied more on fast-food places. This study identifies individual factors and values that may influence future dietary health initiatives in the work site.

Weighting Nonprobability and Probability Sample Surveys in Describing Cancer Catchment Areas.

BACKGROUND: The Population Health Assessment initiative by NCI sought to enhance cancer centers' capacity to acquire, aggregate, and integrate data from multiple sources, as well as to plan, coordinate, and enhance catchment area analysis activities. METHODS: Key objectives of this initiative are pooling data and comparing local data with national data. A novel aspect of analyzing data from this initiative is the methodology used to weight datasets from sites that collected both probability and nonprobability samples. This article describes the methods developed to weight data, which cancer centers collected with combinations of probability, and nonprobability sampling designs. RESULTS: We compare alternative weighting methods in particular for the hybrid probability and nonprobability sampling designs employed by different cancer centers. We also include comparisons of local center data with national survey data from large probability samples. CONCLUSIONS: This hybrid approach to calculating statistical weights can be implemented both within cancer centers that collect both probability and nonprobability samples with common measures. Aggregation can also apply to cancer centers that share common data elements, and target similar populations, but differ in survey sampling designs. IMPACT: Researchers interested in local versus national comparisons for cancer surveillance and control outcomes should consider various weighting approaches, including hybrid approaches, when analyzing their data.

Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations.

Despite widespread use of dietary supplements, little is known about correlates and determinants of their use. Using a diverse sample from 7 interventions participating in the Behavior Change Consortium (n = 2539), signal detection methodology (SDM) demonstrated a method for identifying subgroups with varying supplement use. An SDM model was explored with an exploratory half of the entire sample (n = 1268) and used 5 variables to predict dietary supplement use: cigarette smoking, fruit and vegetable intake, dietary fat consumption, BMI, and stage of change for physical activity. A comparison of rates of supplement use between the exploratory model groups and comparably identified groups in the reserved, confirmatory sample (n = 1271) indicates that these analyses may be generalizable. Significant indicators of any supplement use included smoking status, percentage of energy from fat, and fruit and vegetable consumption. Although higher supplement use was associated with healthy behaviors overall, many of the identified groups exhibited mixed combinations of healthy and unhealthy behaviors. The results of this study suggest that patterns of dietary supplement use are complex and support the use of SDM to identify possible population characteristics for targeted and tailored health communication interventions.

Promoting physical activity through hand-held computer technology.

BACKGROUND: Efforts to achieve population-wide increases in walking and similar moderate-intensity physical activities potentially can be enhanced through relevant applications of state-of-the-art interactive communication technologies. Yet few systematic efforts to evaluate the efficacy of hand-held computers and similar devices for enhancing physical activity levels have occurred. The purpose of this first-generation study was to evaluate the efficacy of a hand-held computer (i.e., personal digital assistant [PDA]) for increasing moderate intensity or more vigorous (MOD+) physical activity levels over 8 weeks in mid-life and older adults relative to a standard information control arm. DESIGN: Randomized, controlled 8-week experiment. Data were collected in 2005 and analyzed in 2006-2007. SETTING/PARTICIPANTS: Community-based study of 37 healthy, initially underactive adults aged 50 years and older who were randomized and completed the 8-week study (intervention=19, control=18). INTERVENTION: Participants received an instructional session and a PDA programmed to monitor their physical activity levels twice per day and provide daily and weekly individualized feedback, goal setting, and support. Controls received standard, age-appropriate written physical activity educational materials. MAIN OUTCOME MEASURE: Physical activity was assessed via the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire at baseline and 8 weeks. RESULTS: Relative to controls, intervention participants reported significantly greater 8-week mean estimated caloric expenditure levels and minutes per week in MOD+ activity (p<0.04). Satisfaction with the PDA was reasonably high in this largely PDA-naive sample. CONCLUSIONS: Results from this first-generation study indicate that hand-held computers may be effective tools for increasing initial physical activity levels among underactive adults.

Using hand-held computer technologies to improve dietary intake.

BACKGROUND: Portable hand-held information technology offers much promise not only in assessing dietary intake in the real world, but also in providing dietary feedback to individuals. However, stringent research designs have not been employed to examine whether it can be effective in modifying dietary behaviors. The purpose of this pilot study was to evaluate the efficacy of a hand-held computer (i.e., personal digital assistant [PDA]) for increasing vegetable and whole-grain intake over 8 weeks in mid-life and older adults, using a randomized study design. METHODS: Twenty-seven healthy adults aged > or =50 were randomized and completed the 8-week study. Intervention participants received an instructional session and a PDA programmed to monitor their vegetable and whole-grain intake levels twice per day and to provide daily individualized feedback, goal-setting, and support. Controls received standard, age-appropriate, written nutritional education materials. Dietary intake was assessed via the Block Food Frequency Questionnaire at baseline and 8 weeks. RESULTS: Relative to controls, intervention participants reported significantly greater increases in vegetable servings (1.5-2.5 servings/day; p=0.02), as well as a trend toward greater intake of dietary fiber from grains (3.7-4.5 servings/day; p=0.10). CONCLUSIONS: This study's findings provide preliminary evidence that using portable hand-held technology to provide daily individualized feedback on dietary behavior in the real world can increase the dietary intake of healthy food groups.

Exploring refinements in targeted behavioral medicine intervention to advance public health.

BACKGROUND: Similar to other fields, a targeted behavioral medicine perspective can aid decision-making related to participant-intervention matching. PURPOSE: To present one potentially useful definition of intervention targeting activity; describe potential targeting domains of particular relevance to behavioral medicine; discuss different statistical approaches to aid the targeted intervention development process; and discuss the challenges and opportunities accompanying the incorporation of targeted intervention development methods into behavioral randomized clinical trial (RCT) research. METHODS: Drawing from recent conceptual work by the MacArthur group and other scientists in the field, methods and approaches to undertaking moderator analysis are discussed. RESULTS: Examples of moderator analyses are provided which reflect the different statistical methods and variable domains that may serve as moderators of intervention success. CONCLUSIONS: The recommended exploratory work can help to make the most efficient use of RCTs to identify the best paths for subsequent RCT development in a resource-constrained era.

Social and physical environments of sports and exercise reported among adults in the American Time Use Survey.

OBJECTIVE: Demographic and temporal patterns in the social and physical environments of sports and exercise in the American Time Use Survey (years 2003-2006) are described. METHOD: The sample consisted of adult respondents (ages 21+) reporting at least one bout of sports or exercise (N=8844). During the interview, participants reported where (e.g., outdoors, home, work) and with whom (e.g., alone, family, coworkers) each bout occurred. Sample-weighted multinomial logistic regression analyses estimated the adjusted proportion of bouts occurring in each environment by gender, age, education, race/ethnicity, season, weekend/weekday, and time of day. RESULTS: Among members of the oldest age group (ages 60+), more exercise bouts occurred alone and outdoors compared to younger age groups. Among college graduates, more exercise bouts occurred at a gym/health club compared to groups with lower levels of education. Exercise bouts occurring alone were most likely to happen in the winter, on weekdays, and in the morning. Exercise bouts occurring outdoors were most likely to happen in the summer, on weekend days, and in the morning. CONCLUSION: Future research and intervention efforts exploring where, when and with whom exercise bouts occur may prove beneficial to addressing public health concerns about physical inactivity.

Employer and healthcare policy interventions aimed at adult obesity.

BACKGROUND: Increasing rates of obesity in the population have made prevention a high public health priority. Policy strategies for curtailing obesity have been recommended, yet there has been little research on the degree of public support for policy-level interventions. METHODS: Participants for this study included 1139 respondents who were surveyed as part of the Research Triangle Institute Obesity Telephone Survey conducted in September 2004. Participants were asked to indicate to what degree they favor specific healthcare and work policy strategies for treating and preventing adult obesity. Participants were also asked about their beliefs regarding the causes of obesity. RESULTS: A majority (85%) favored a policy change strategy that offered employers tax breaks if they provided adequate exercise facilities in the workplace. Seventy-three percent favored a move by healthcare companies to require obesity treatment and prevention. The same proportion (72%) favored beneficiary discounts by employers or healthcare companies to motivate individuals to maintain or move toward a healthy weight. Majorities endorsed a lack of willpower and the cost of healthy food as causes. Nearly two thirds did not believe genes or lack of knowledge was related to obesity in society, and the sample was split with regard to the belief that obesity is caused by society. CONCLUSIONS: The findings suggest that there is strong support for healthcare and employment policies in obesity prevention and treatment. These findings may be important to policymakers in developing population-based strategies to prevent obesity.