49 research outputs found

    Integrating a family-focused approach into child obesity prevention: Rationale and design for the My Parenting SOS study randomized control trial

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    <p>Abstract</p> <p>Background</p> <p>More than 20% of US children ages 2-5 yrs are classified as overweight or obese. Parents greatly influence the behaviors their children adopt, including those which impact weight (e.g., diet and physical activity). Unfortunately, parents often fail to recognize the risk for excess weight gain in young children, and may not be motivated to modify behavior. Research is needed to explore intervention strategies that engage families with young children and motivate parents to adopt behaviors that will foster healthy weight development.</p> <p>Methods</p> <p>This study tests the efficacy of the 35-week My Parenting SOS intervention. The intervention consists of 12 sessions: initial sessions focus on general parenting skills (stress management, effective parenting styles, child behavior management, coparenting, and time management) and later sessions apply these skills to promote healthier eating and physical activity habits. The primary outcome is change in child percent body fat. Secondary measures assess parent and child dietary intake (three 24-hr recalls) and physical activity (accelerometry), general parenting style and practices, nutrition- and activity-related parenting practices, and parent motivation to adopt healthier practices.</p> <p>Discussion</p> <p>Testing of these new approaches contributes to our understanding of how general and weight-specific parenting practices influence child weight, and whether or not they can be changed to promote healthy weight trajectories.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00998348">NCT00998348</a></p

    Common Gestures

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    Quantitative methods used in Australian health promotion research : a review of publications from 1992-2002

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    Issue addressed: This study examined the use of quantitative methods in Australian health promotion research in order to identify methodological trends and priorities for strengthening the evidence base for health promotion. Methods: Australian health promotion articles were identified by hand searching publications from 1992-2002 in six journals: Health Promotion Journal of Australia, Australian and New Zealand Journal of Public Health, Health Promotion International, Health Education Research, Health Education and Behavior and the American Journal of Health Promotion. The study designs and statistical methods used in articles presenting quantitative research were recorded. Results: 591 (57.7%) of the 1,025 articles used quantitative methods. Cross-sectional designs were used in the majority (54.3%) of studies with pre- and post-test (14.6%) and post-test only (9.5%) the next common designs. Bivariate statistical methods were used in 45.9% of papers, multivariate methods in 27.1% and simple numbers and proportions in 25.4%. Few studies used higher-level statistical techniques. Conclusions: While most studies used quantitative methods, the majority were descriptive in nature. The study designs and statistical methods used provided limited scope for demonstrating intervention effects or understanding the determinants of change

    A Peer-Reviewed Journal about Datafied Research

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    Edited by Christian Ulrik Andersen and Geoff CoxThis issue of APRJA examines the implications of datafication for research. Following a research workshop at the School of Creative Media, City University of Hong Kong in October 2014, it addresses the thematic framework of the 2015 transmediale festival “Capture All” as a research topic: “to investigate and propose actions that push against the limits of today’s pervasive quantification of life, work and play”, as the call explains. Indeed, to what extent does data “capture all” – even research? We produce, share, collect, archive, use and misuse, knowingly or not, massive amounts of data, but what does its “capture” do to us? What are the inter-subjective relations between data-commodity and human subjects? In asking these questions, the articles in this journal seek insights into the logics of data flows between materials, things, data, code, software, interfaces and other stuff that permeates the cultures of datafication
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