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      Identifying patterns of physical activity and screen time parenting practices and associations with preschool children’s physical activity and adiposity

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          Highlights

          • Three distinct patterns of activity and screen time parenting practices were found.

          • Demographic differences were evident among the identified patterns.

          • There were no significant differences in child outcomes among the parent patterns.

          Abstract

          Although physical activity and screen time parenting practices influence children’s behaviors, little work has examined how these practices work in combination. The purpose of this study was to identify patterns of physical activity and screen time parenting practices, and examine differences in preschool children’s physical activity, sedentary behavior, and adiposity among the identified patterns. Data were collected in 2009–2012 from 319 parent–child dyads enrolled in a randomized trial testing a parent-focused obesity prevention intervention. At baseline, physical activity and screen time parenting practices were assessed using a validated self-report survey. Children’s physical activity and sedentary behavior were measured using accelerometers and child anthropometrics were objectively measured. Latent profile analyses identified patterns of physical activity and screen time parenting practices. Differences in child outcomes were tested among the identified classes. Three parent classes were identified: Rewarders ( n = 165), Activity Supportive ( n = 98), and Screen Time Permissive ( n = 56). Rewarder parents were characterized by the highest scores on using physical activity and screen time to reward or control children’s behavior. Activity Supportive parents generally had the highest scores on practices to promote physical activity, while Screen Time Permissive parents had the highest scores on practices facilitating screen time. There were no differences in the mean child physical activity, sedentary behavior or BMI z-score among the three classes. Findings revealed distinct classes of parents that could provide modifiable targets for family-based physical activity promotion, but more work is needed examining the influence of these patterns longitudinally and in different populations.

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          Most cited references26

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          Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis.

          Little research has examined factors influencing statistical power to detect the correct number of latent classes using latent profile analysis (LPA). This simulation study examined power related to inter-class distance between latent classes given true number of classes, sample size, and number of indicators. Seven model selection methods were evaluated. None had adequate power to select the correct number of classes with a small (Cohen's d = .2) or medium (d = .5) degree of separation. With a very large degree of separation (d = 1.5), the Lo-Mendell-Rubin test (LMR), adjusted LMR, bootstrap likelihood-ratio test, BIC, and sample-size adjusted BIC were good at selecting the correct number of classes. However, with a large degree of separation (d = .8), power depended on number of indicators and sample size. The AIC and entropy poorly selected the correct number of classes, regardless of degree of separation, number of indicators, or sample size.
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            Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version.

            To present a clinical version of the 2000 Centers for Disease Control and Prevention (CDC) growth charts and to compare them with the previous version, the 1977 National Center for Health Statistics (NCHS) growth charts. The 2000 CDC percentile curves were developed in 2 stages. In the first stage, the empirical percentiles were smoothed by a variety of parametric and nonparametric procedures. To obtain corresponding percentiles and z scores, we approximated the smoothed percentiles using a modified LMS estimation procedure in the second stage. The charts include of a set of curves for infants, birth to 36 months of age, and a set for children and adolescents, 2 to 20 years of age. The charts represent a cross-section of children who live in the United States; breastfed infants are represented on the basis of their distribution in the US population. The 2000 CDC growth charts more closely match the national distribution of birth weights than did the 1977 NCHS growth charts, and the disjunction between weight-for-length and weight-for-stature or length-for-age and stature-for-age found in the 1977 charts has been corrected. Moreover, the 2000 CDC growth charts can be used to obtain both percentiles and z scores. Finally, body mass index-for-age charts are available for children and adolescents 2 to 20 years of age. The 2000 CDC growth charts are recommended for use in the United States. Pediatric clinics should make the transition from the 1977 NCHS to the 2000 CDC charts for routine monitoring of growth in infants, children, and adolescents.
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              Associations of Parental Influences with Physical Activity and Screen Time among Young Children: A Systematic Review

              Parents play a critical role in developing and shaping their children's physical activity (PA) and sedentary behaviours, particularly in the early years of life. The aim of this systematic review is to identify current literature investigating associations of parental influences with both PA and screen time in young children. This systematic review was conducted in November 2013 using 6 electronic databases covering research literature from January 1998 to November 2013. Thirty articles that met inclusion criteria were identified. These studies covered five important aspects of parenting: (1) parenting practices; (2) parents' role modelling; (3) parental perceptions of children's PA and screen viewing behaviours; (4) parental self-efficacy; and (5) general parenting style. Findings suggest that parents' encouragement and support can increase children's PA, and reducing parents' own screen time can lead to decreased child screen time. Improving parenting practices, parental self-efficacy or changing parenting style may also be promising approaches to increasing PA time and decreasing screen time of young children.
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                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Preventive Medicine Reports
                2211-3355
                20 February 2020
                June 2020
                20 February 2020
                : 18
                : 101068
                Affiliations
                [a ]Department of Population Health Sciences, Duke University, Durham, NC, United States
                [b ]Prevention Research Center in St. Louis, Washington University in St. Louis, St. Louis, MO, United States
                [c ]Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
                [d ]Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
                [e ]Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
                Author notes
                [* ]Corresponding author at: Center for Health Promotion and Disease Prevention, 1700 Martin Luther King Jr. Blvd., Chapel Hill NC, 27514, United States. dsward@ 123456email.unc.edu
                Article
                S2211-3355(20)30028-0 101068
                10.1016/j.pmedr.2020.101068
                7058893
                32154095
                9da9c5fb-d3e5-4c5f-89b0-9ec476d99a47
                © 2020 Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 13 August 2019
                : 10 February 2020
                : 17 February 2020
                Categories
                Regular Article

                parenting,physical activity practices,screen media practices,sedentary behavior,physical activity,adiposity,preschool children

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