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      Reasons for (Non)Participating in a Telephone-Based Intervention Program for Families with Overweight Children

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          Abstract

          Objective

          Willingness to participate in obesity prevention programs is low; underlying reasons are poorly understood. We evaluated reasons for (non)participating in a novel telephone-based obesity prevention program for overweight children and their families.

          Method

          Overweight children and adolescents (BMI>90 th percentile) aged 3.5–17.4 years were screened via the CrescNet database, a representative cohort of German children, and program participation (repetitive computer aided telephone counseling) was offered by their local pediatrician. Identical questionnaires to collect baseline data on anthropometrics, lifestyle, eating habits, sociodemographic and psychosocial parameters were analyzed from 433 families (241 participants, 192 nonparticipants). Univariate analyses and binary logistic regression were used to identify factors associated with nonparticipation.

          Results

          The number of overweight children (BMI>90 th percentile) was higher in nonparticipants than participants (62% vs. 41.1%,p<0.001), whereas the number of obese children (BMI>97 th percentile) was higher in participants (58.9% vs.38%,p<0.001). Participating girls were younger than boys (8.8 vs.10.4 years, p<0.001). 87.3% and 40% of participants, but only 72.2% and 24.7% of nonparticipants, respectively, reported to have regular breakfasts (p = 0.008) and 5 regular daily meals (p = 0.003). Nonparticipants had a lower household-net-income (p<0.001), but higher subjective physical wellbeing than participants (p = 0.018) and believed that changes in lifestyle can be made easily (p = 0.05).

          Conclusion

          An important reason for nonparticipation was non-awareness of their child's weight status by parents. Nonparticipants, who were often low-income families, believed that they already perform a healthy lifestyle and had a higher subjective wellbeing. We hypothesize that even a low-threshold intervention program does not reach the families who really need it.

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          Most cited references47

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          Smoothing reference centile curves: the LMS method and penalized likelihood.

          Refence centile curves show the distribution of a measurement as it changes according to some covariate, often age. The LMS method summarizes the changing distribution by three curves representing the median, coefficient of variation and skewness, the latter expressed as a Box-Cox power. Using penalized likelihood the three curves can be fitted as cubic splines by non-linear regression, and the extent of smoothing required can be expressed in terms of smoothing parameters or equivalent degrees of freedom. The method is illustrated with data on triceps skinfold in Gambian girls and women, and body weight in U.S.A. girls.
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            Parent recruitment and retention in a universal prevention program for child behavior and emotional problems: barriers to research and program participation.

            Despite the potential of parent training as a prevention and behavioral family intervention strategy, there are a number of important issues related to implementation (e.g., recruitment and retention of families). This paper presents recruitment and retention data from families enrolling in a randomized controlled universal prevention trial for child behavior problems conducted in Germany. The recruitment rate averaged 31% (general project participation), with families of lower socioeconomic status (SES) participating at a lower rate. Project-declining families most often reported intrusion of privacy as their primary concern. In contrast, once parents were enrolled in the project, participation among those randomized to the parent training group averaged 77% (program/intervention participation); non-participation was mostly due to logistical issues. Parents accepting the offer of parent training were more likely to report child behavior problems than did declining parents. Although parents from more disadvantaged areas had a lower overall level of participation in the project once recruited, parents with children having higher levels of behavior problems indeed were more likely to participate in the intervention. Different recruitment methods may be required to engage high-risk families from socioeconomically disadvantaged areas to further improve community-level impact on child mental health.
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              Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.

              Health-related quality of life is increasingly being considered as a relevant end-point and outcome criterion in evaluating the effects of medical treatment. While in adults quality of life instruments have been developed in terms of generic as well as disease-specific measures, quality of life assessment and children is a relatively new area. The current paper describes the application of a German generic quality of life instrument for children (the KINDL) in a group of 45 chronically ill children suffering from diabetes or asthma in comparison to 45 age- and gender-matched healthy children. The results of psychometric testing in these populations showed that the German KINDL is a reliable, valid and practical instrument to assess the health-related quality of life of children which should be supplemented by disease-specific modules and needs to be further tested in clinical populations.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                3 April 2012
                : 7
                : 4
                : e34580
                Affiliations
                [1 ]Department of Women and Child Health, Hospital for Children and Adolescents, University Hospital of Leipzig, Leipzig, Germany
                [2 ]Integrated Research and Treatment Center (IFB) AdiposityDiseases, University of Leipzig, Leipzig, Germany
                [3 ]CrescNet gGmbH, University of Leipzig, Leipzig, Germany
                Louisiana State University, Pennington Biomedical Research Center, United States of America
                Author notes

                Conceived and designed the experiments: FA SZ RG WK SB. Performed the experiments: FA SZ SB. Analyzed the data: FA JM RG SB. Wrote the paper: FA JM SB.

                Article
                PONE-D-12-02542
                10.1371/journal.pone.0034580
                3317994
                22509327
                c1bf59f0-483e-486c-9edb-47439b7d2536
                Alff et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 20 January 2012
                : 6 March 2012
                Page count
                Pages: 8
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Cohort Studies
                Endocrinology
                Pediatric Endocrinology
                Epidemiology
                Environmental Epidemiology
                Pediatric Epidemiology
                Non-Clinical Medicine
                Health Care Policy
                Child and Adolescent Health Policy
                Health Education and Awareness
                Health Risk Analysis
                Health Statistics
                Health Systems Strengthening
                Health Informatics
                Socioeconomic Aspects of Health
                Nutrition
                Obesity
                Pediatrics
                Adolescent Medicine
                Child Development
                Public Health
                Behavioral and Social Aspects of Health
                Child Health
                Preventive Medicine

                Uncategorized
                Uncategorized

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