28 research outputs found

    Replication Data for: Exploring parent attitudes around using incentives to promote engagement in family-based weight management programs

    No full text
    This dataset contains de-identified transcripts used in the analysis of: "Exploring parent attitudes around using incentives to promote engagement in family-based weight management programs" by Jacob-Files E, Powell J, and Wright DR. Preventive Medicine Reports. 2018 April. doi: 10.1016/j.pmedr.2018.04.007. PMID: 29868380, PMCID: PMC598423

    Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment

    No full text
    Replication data for "Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment" by Davene R. Wright, Brian E. Saelens, Angela Fontes, and Tara A. Lavelle

    Replication Data for: Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

    No full text
    A cross-sectional survey comprised of questions from the nationally-representative 2014 Behavioral Risk Factor Surveillance System (BRFSS) and 2014 National Health and Nutrition Examination Survey (NHANES) was administered to 591 MTurk workers and 393 masters in 2016. Health status (asthma, depression, BMI, and general health), health behaviors (influenza vaccination, health insurance, smoking, and physical activity), and demographic characteristics of the two MTurk populations (workers and masters) were compared to each other and, using Poisson regression, to a nationally-representative BRFSS and NHANES samples

    Exploring parent attitudes around using incentives to promote engagement in family-based weight management programs

    No full text
    Incentives can promote adult wellness. We sought to examine whether incentives might help overcome barriers to engagement in child weight management programs and the ideal value, type and recipient of incentives. In 2017, we conducted semi-structured phone interviews with parents of children ≀17 years old, formerly or currently affected by obesity, who had (n = 11) or had never (n = 12) participated in family-based behavioral treatment (FBT) for obesity. Interviews explored the range and type of incentives families would be willing to accept. Interview transcripts were coded and data were analyzed using a thematic analysis. We found that some parents were skeptical about receiving cash incentives. However, once treatment-related costs were identified, some became more interested in reimbursement for out of pocket expenditures. Most parents felt up to 100/monthwouldbeadequateandthatincentivesshouldbetiedtochangingbehaviors,notBMI.Someintervieweesexpressedpreferencesfornon−cashincentives(e.g.agiftcard)overcashincentives.Parentswerewillingtoshareincentiveswithadolescents,upto100/month would be adequate and that incentives should be tied to changing behaviors, not BMI. Some interviewees expressed preferences for non-cash incentives (e.g. a gift card) over cash incentives. Parents were willing to share incentives with adolescents, up to 50/month, but there was concern about incentives affecting a child's intrinsic motivation for behavior change. All parents acknowledged that moderate incentives alone couldn't overcome the realities of structural and familial barriers to engaging in weight management programs. In summary, we identified aspects of an incentive program to promote engagement in FBT that would be desirable and feasible to implement. Future quantitative work can reveal the value and structure of incentives that are effective for improving obesogenic health behaviors and outcomes. Keywords: Behavioral economics, Family-based treatment, Financial incentives, Health incentives, Childhood obesit

    Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

    No full text
    INTRODUCTION:Amazon's Mechanical Turk (MTurk) is frequently used to administer health-related surveys and experiments at a low cost, but little is known about its representativeness with regards to health status and behaviors. METHODS:A cross-sectional survey comprised of questions from the nationally-representative 2014 Behavioral Risk Factor Surveillance System (BRFSS) and 2014 National Health and Nutrition Examination Survey (NHANES) was administered to 591 MTurk workers and 393 masters in 2016. Health status (asthma, depression, BMI, and general health), health behaviors (influenza vaccination, health insurance, smoking, and physical activity), and demographic characteristics of the two MTurk populations (workers and masters) were compared to each other and, using Poisson regression, to a nationally-representative BRFSS and NHANES samples. RESULTS:Workers and master demographics were similar. MTurk users were more likely to be aged under 50 years compared to the national sample (86% vs. 55%) and more likely to complete a college degree than the national sample (50% vs. 26%). Adjusting for covariates, MTurk users were less likely to be vaccinated for influenza, to smoke, to have asthma, to self-report being in excellent or very good health, to exercise, and have health insurance but over twice as likely to screen positive for depression relative to a national sample. Results were fairly consistent among different age groups. CONCLUSIONS:MTurk workers are not a generalizable population with regards to health status and behaviors; deviations did not follow a trend. Appropriate health-related uses for MTurk and ways to improve upon the generalizability of MTurk health studies are proposed

    Healthy, Wealthy, and Wise? Exploring Parent Comparative Optimism About Future Child Outcomes

    No full text
    Objectives. Comparative optimism is present in parental predictions of their child’s long-term, obesity-related health outcomes and some of this optimism is unrealistic. An understanding of how comparative optimism relates to parents’ predictions of health versus other child outcomes could contribute to the development of interventions and strategies pediatricians can use to improve risk assessment. Methods. In a nationally representative survey, we asked American parents of 6- to 17-year-old children ( n = 410) to estimate the chances that their child and “a typical child in their community” would be affected by overweight, get married, and complete a 4-year college degree by age 30, and the child’s future salary at age 30. We collected data on family demographic and health characteristics. We modeled the difference in parent predictions for their child versus the typical child using multivariate linear regressions. Results. Compared to the typical child, parents were less likely to predict that their child would be affected by overweight (−26.6 percentage points, 95% confidence interval [CI]: −35.6, −17.7) and more likely to predict that their child would complete a 4-year degree (16.7 percentage points, 95% CI: 2.5, 31.0). Parents predicted their child would have a higher income than the typical child at age 30 (15,266,9515,266, 95% CI: 7,487, $23,046). Parents did not predict that their child would be more likely than the typical child to be married by age 30 (−2.2 percentage points, 95% CI: −8.1, 3.7). Conclusions. Some parents appear to exhibit comparative optimism around their child’s future weight status, education, and economic outcomes, but not marriage. Future experimental work should assess whether risk communication approaches that consider optimism bias influence parent risk perception and parenting behaviors

    Characteristics of Mechanical Turk workers versus national 2014 BRFSS sample.

    No full text
    <p>Characteristics of Mechanical Turk workers versus national 2014 BRFSS sample.</p
    corecore